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Rodent models of metabolic disorders: considerations for use in studies of neonatal programming

Published online by Cambridge University Press:  23 September 2021

Kasimu Ghandi Ibrahim*
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria
Dawoud Usman
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria
Muhammad Bashir Bello
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria Department of Veterinary Microbiology, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria
Ibrahim Malami
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria Department of Pharmacognosy and Ethnopharmacy, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P.M.B 2346Sokoto, Nigeria
Bilyaminu Abubakar
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria Department of Pharmacology and Toxicology, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P.M.B 2346Sokoto, Nigeria
Murtala Bello Abubakar
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria
Mustapha Umar Imam
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346Sokoto, Nigeria Department of Medical Biochemistry, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254Sokoto, Nigeria
*
*Corresponding author: Kasimu Ghandi Ibrahim, email ghandi.kasimu@udusok.edu.ng
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Abstract

Epidemiologically, metabolic disorders have garnered much attention, perhaps due to the predominance of obesity. The early postnatal life represents a critical period for programming multifactorial metabolic disorders of adult life. Though altricial rodents are prime subjects for investigating neonatal programming, there is still no sufficiently generalised literature on their usage and methodology. This review focuses on establishing five approach-based models of neonatal rodents adopted for studying metabolic phenotypes. Here, some modelled interventions that currently exist to avoid or prevent metabolic disorders are also highlighted. We also bring forth recommendations, guidelines and considerations to aid research on neonatal programming. It is hoped that this provides a background to researchers focused on the aetiology, mechanisms, prevention and treatment of metabolic disorders.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Obesity and non-communicable diseases like type 2 diabetes mellitus constitute global health concerns due to their high morbidity and mortality(Reference Saklayen1). These and other metabolic diseases arise due to one or more abnormalities in the components of cellular metabolism. Studies have implicated not only genetic variations like polymorphisms and mutations of certain genes but also prenatal and postnatal environmental factors that influence the expression of the genes responsible for the metabolism of carbohydrates and lipids(Reference Hernández-Granados, Ramírez-Emiliano, Franco-Robles and Ibeh2).

The term ‘developmental programming’ describes adaptive phenotypic changes that occur in later life following environmental exposure to certain factors, termed ‘stressors’ or ‘cues’, at critical periods of early life. The intrauterine and neonatal life represent critical and sensitive periods of programming for cellular metabolism. In some cases, the subsequent reprogramming of neonatal life outweighs the programmed developments of intrauterine life(Reference George, Draycott and Muir3,Reference Vithayathil, Gugusheff and Ong4) . Despite the need for more scientific investigations on developmental programming of neonatal life, several factors, such as ethical considerations, genetic heterogeneity, differential disease outcomes, intensive care treatment and methodological constraints, limit direct investigations on the human neonate. Consequently, studies have predominantly adopted the rodent model to study neonatal exposure and adult health(Reference Puimana and Stolla5). These animal models are useful for the study of malleable environmental factors such as diets, acting predominantly through epigenetic routes(Reference Cheng, Zheng and Almeida6).

A number of reviews identify the general use of adult animal models programmed for specific pathologies such as metabolic syndrome(Reference Panchal and Brown7,Reference Wong, Chin and Suhaimi8) , diabetes and obesity(Reference Hernández-Granados, Ramírez-Emiliano, Franco-Robles and Ibeh2,Reference Alquier and Poitout9) . Some others focus on the use of single faceted nutritional models to neonatal programming(Reference Puimana and Stolla5,Reference Flamm10Reference McClain, Keller and Casciano12) . However, the predominant use of rodents (rats and mice) for neonatal programming lacks full evaluation. Also, emphasis has been raised for the documentation of newer models and clarification of the considerations and caveats for their selection(Reference Hernández-Granados, Ramírez-Emiliano, Franco-Robles and Ibeh2,Reference Wong, Chin and Suhaimi8,Reference Alquier and Poitout9) . Herein, we employed a pioneer attempt to consolidate the altricial models of neonatal programming and document their suitability in the prevention and treatment of metabolic disorders. Furthermore, we present some guidelines and confounding points for model selection and animal experimentation.

Neonatal programming

Previously, the ‘Foetal Origins of Adult Disease’ hypothesis was used to define the relationship between gestational exposure to stressors and the emergence of adult metabolic disorders(Reference Barker and Osmond13Reference Hales and Barker15). This phenomenon was termed ‘fetal programming’ due to its recognition of the fetal life as a period of plasticity. Subsequently, it was established that exposure to stressors in the postnatal (suckling) period also programme the outcome of adult health(Reference Koletzko16). This recognition of ‘neonatal programming’ led to a shift in the hypothesis to ‘the Developmental Origins of Adult Health and Disease’. The overall phenomenon thus became ‘Developmental programming’(Reference Armitage, Taylor and Poston17,Reference Mandy and Nyirenda18) .

While the stressors that trigger developmental programming could be either exogenous, endogenous or both(Reference Reichetzeder, Dwi Putra and Li19), they are not always detrimental, and the outcomes of developmental programming could be inherited intergenerationally or transgenerationally(Reference Xu, Wang and Chen20). For instance, Benyshek et al. (Reference Benyshek, Johnston and Martin21) demonstrated transgenerationally altered glucose metabolism of F3 descendants of rats (F1) undernourished during lactation. Furthermore, exposure to stressors could either be gestational, triggering fetal programming, or may occur in the early postnatal period, causing alterations in adult metabolism due to neonatal programming(Reference Aiken, Tarry-Adkins and Ozanne22).

Neonatal programming occurs during the suckling period. This period for humans, if allowed, can naturally extend from the neonatal phase of development (birth to 1 month) into infancy (1 month to 2 years)(Reference Kramer and Kakuma23). Comparatively, the suckling period for laboratory altricial rodents (rats and mice) extends to 3 weeks (day 21) after birth and weaning is marked by separation of pups from the dams. However, this may also extend naturally past the 21 d period. The suckling period for rodents comprises of a neonatal phase (birth to 1 week) and an infancy phase (week 1 end to week 3 end) (Reference Barrow, Barbellion and Stadler24,Reference Picut, Dixon and Simons25) .

Mechanistic bases for the metabolic programming in early life

With respect to Developmental Origins of Adult Health and Disease, metabolic alterations rely on the mechanistic ‘retention’ of the impact made by an exposure at early life. So far, such mechanisms are accounted for by some morphological memories and epigenetics(Reference Fall and Kumaran26). As outlined later on, morphological changes (particularly of the gut) are peculiar to the suckling period. These include tissue remodelling, altered cell numbers, cell distribution or cell selection which may alter in response to nutrition and environment. Accumulating evidence also shows that epigenetics is a primary mechanism by which developmental programming influences and prepares an organism for adult life(Reference Goyal, Limesand and Goyal27). This includes changes in the DNA methylome, histone modifications and regulatory noncoding RNA, all affecting gene expression. Notably, the DNA methylome is particularly re-established in early life. During fertilisation and implantation, huge portions of the mammalian DNA methylation are lost, but later regained during the developmental periods (intra-uterine life, suckling period and puberty)(Reference Fall and Kumaran26). This re-methylation can be modified by nutrition or environment, and a number of reports have demonstrated the role of DNA methylome to neonatal programming. For instance, Plagemann et al. (Reference Plagemann, Roepke and Harder28) illustrated that over-nourished rat pups possessed a dose-dependently increased methylation of their hypothalamic insulin receptor promoter sites, predisposing them to diabesity in later life. We believe, at least anecdotally, that the nutritional influence on epigenetics is partly a function of the one-carbon cycle, which generates the methyl groups needed for DNA methylation. This is because nutrients, such as vitamin B12, folic acid, choline and betaine present in milk, are relevant for the maintenance of this cycle(Reference Lillycrop and Burdge29). Further investigations are required to fully understand these mechanisms and possibly uncover new ones.

Epigenetic changes alongside morphological memories (such as cellular distribution/tissue remodelling) may influence metabolic activity, the development of hormonal systems and trigger programming to a degree dependent on timing, type, magnitude and duration of stressor exposure, from conception to the first 1000 d of human life(Reference Mandy and Nyirenda18,Reference Fall and Kumaran26) . This period of life stretches from the beginning of gestation to the end of the early postnatal life. Notably, prematurity presents a classic case of exposure to adversity during these 1000 d, both gestational and postnatal(Reference Reichetzeder, Dwi Putra and Li19).

Neonatal programming usually primes the subject to cope with future adversity such as a scarcity of nutrients. This ‘predictive adaptive response’ is an anticipatory process involving developmental adjustments after early-life exposure to stressors(Reference Wells30). It occurs to match and adapt an organism’s phenotype against later life exposure(Reference Bateson, Gluckman and Hanson31). However, stress results when the predictive adaptive response is mismatched with the future condition resulting in cardiovascular and metabolic disorders(Reference Goyal, Limesand and Goyal27). In line with this concept of mismatch, studies relating the neonatal environment to developmental conditions reveal that offspring suckled by diabetic, obese or malnourished mothers are predisposed to metabolic disorders in later life(Reference Fante, Simino and Reginato32Reference Wattez, Delmont and Bouvet36). Even so, the collective mechanisms by which such responses develop are yet to be fully elucidated. Notwithstanding, this critical neonatal period is a potent window for developing some targeted metabolic studies and possible preventive measures(Reference Lewis, Galbally and Gannon37).

Altricial rodents

The nidicolous or altricial rat and mouse are subsets of the largest mammalian order, Rodentia, whose blind pups display absolute dependency on the dams, including a need for stimulation to micturate and defecate(Reference Otto, Franklin, Clifford, Fox, Anderson and Otto38,Reference Aalinkeel, Srinivasan and Song39) . For reasons we shall discuss, these altricial mammals present a stream of species with conditions that translate to the human state and may prove useful in investigating and understanding the fundamental mechanisms involved in neonatal programming. Research with these animal models targets some environmental and/or even genetic events that may shape the metabolic development of a suckling pup, at a period of developmental plasticity. Furthermore, beside the traditional approaches to disease treatment using these animal models(Reference Liu, Srinivasan and Mahmood40,Reference Schroeder, Shbiro and Moran41) , some novel attempts at disease prevention have been established. For instance, neonatal intake of Hibiscus Sabdariffa was shown to protect against fructose-induced dyslipidaemia(Reference Ibrahim, Chivandi and Mojiminiyi42), while neonatal intake of oleanolic acid was reported to repress the development of fructose-induced non-alcoholic fatty liver disease in adult rats(Reference Nyakudya, Mukwevho and Nkomozepi43).

Why rats and mice represent good animal models for investigating the neonatal development of metabolic disorders?

Altricial rodents are the most widely used laboratory animals due to their relatively short life span, little space for maintenance, fecundity, short gestation period and well-defined genetic background, completely sequenced genome of mice (2002: Mouse Genome Sequencing Consortium) and rats (2004: Rat Genome Consortium) (Reference Otto, Franklin, Clifford, Fox, Anderson and Otto38,Reference Gibbs, Weinstock and Metzker44,Reference Waterston, Lindblad-Toh and Birney45) . Models of these rodents are useful in evaluating maternal interventions that exert influence on the metabolic development of the neonate. Their known genomic status provides foundation for genetically modified forms that can be purposely bred to investigate specific disorders(Reference Vandamme46).

During the neonatal period, the maternal milk, via nutrients and bioactive factors, has the major influence on pup development. Though the pups are blind at birth, they are attracted to the mother’s nipples by certain odoriferous cues that coat them(Reference Aïn, Belin and Schaal47). Milk-laden factors, antigens, immunoglobulins, bacteria and macromolecules are absorbed across a highly permeable enteric epithelium. For rats and mice, this permeability to macromolecules completely halts after weaning, a process called ‘gut closure’ which limits the absorption some dietary inclusions(Reference Teichberg, Wapnir and Moyse48,Reference Xu, Collins and Ghishan49) . Like humans, suckling rodents have a hardwired age-related increase in receptor number, sensitivity and signal transduction than weaned rodents. This comes with associated consequences. For instance, the increased receptors and sensitivity for enterotoxins of Escherichia coli and cholera in the suckling period increase neonatal susceptibility to diarrhoea in man and rat(Reference Cohen, Guarino and Shukla50Reference Swenson, Mann and Jump53). A similar increase with development is noted for certain transporters such as sodium-glucose transporter 1, apical sodium-dependent bile acid transporter, water and Na transport channels in neonatal man, rats and mice(Reference Xu, Collins and Ghishan49). Also, a precociously increased expression of other transporters like GLuT-2 and GLuT-5 can occur through transcriptomic influence in response to early dietary exposure such as a high fructose intake(Reference Xu, Collins and Ghishan49). This has been adopted for the neonatal induction and accelerated development of adult metabolic disorders in these rodents(Reference Ibrahim, Wright and Chivandi54,Reference Toop, Muhlhausler and O’Dea55) .

Furthermore, altricial rodents are characterised by low forms of developmental maturity surrounding aspects of gastrointestinal nutrition and evacuation, thermoregulation, locomotion with most ontogeny finishing after birth. The periodical similarity of rodent-human ontogeny of several organs or systems makes suckling rodents suitable targets for neonatal research directed at specific metabolic conditions. Underneath this descriptive similarity of the suckling period of rodents to humans are certain changes that mirror the different phases of human development. For instance, some underdevelopments of the brain and gut show similarity to human premature babies and third trimester of human gestation(Reference Puimana and Stolla5). The enteric maturation occurring within the suckling period of altricial rodents relates to in utero intestinal development for humans. The time lapse is perhaps due to the shorter gestational period for rodents as compared with the longer gestational periods in man(Reference Xu, Collins and Ghishan49). More so, the developmental increase in disaccharidases (sucrase, isomaltase) for humans occurs from the 12th week of gestation while that for rats and mice is increased at weaning(Reference Antonowicz and Lebenthal56Reference Ménard and Pothier58).

Like humans, suckling rodents express critical development in white adipose tissue(Reference Butruille, Marousez and Pourpe59); immune system and adaptation(Reference Pérez-Cano, Franch and Castellote11); establishment of neural networks (hypothalamus) and astrocyte development(Reference Canal, Mohammed and Rodriguez60) and permanent metabolic programming of appetite and growth dynamics. All these become useful targets and biomarkers for neonatal programming which are leveraged upon by researchers to test hypotheses and bridge scientific gaps. Specifically, these similarities found in suckling altricial rodents have created opportunities to assess food composition/quality and natural products (for prophylaxis)(Reference Gumede, Lembede and Nkomozepi61,Reference Le Dréan, Pocheron and Billard62) ; understand gut microbes and mucosal homoeostasis(Reference Steegenga, Mischke and Lute63); conduct immune programming (immuno-nutrition) and genetic studies (advantaged in toe clipping)(Reference Pérez-Cano, Franch and Castellote11,Reference Paluch, Lieggi and Dumont64) among others.

Despite some marked differences from humans and a major setback in repeated blood sampling due to low blood volume, altricial rodents retain benefits to their undersize and underdevelopment. Rodent pups bear underdeveloped guts and brains that mature during lactation, before weaning and prove useful in the shared similarity with that of a premature human infant(Reference Puimana and Stolla5). Though adult rodents can be surgically manipulated, the diminutive pup size, particularly of mice, presents a key obstacle for studies beginning at postnatal day 1. Regardless of this challenge, scientists the world over have developed and are still brainstorming upon newer techniques that rightly fit for neonatal programming. This has come with some potent breakthroughs(Reference Wattez, Delmont and Bouvet36,Reference Beierle, Chen and Hartwich65Reference Willingham, McNulty and Anderson71) .

Notably, no animal species possess complete similarities to human, along enzymatic form and activity. However, some enzyme isoforms acting upon specific metabolites show similarity in humans and rodents. For instance, the human cytochrome P450, subfamily 1A enzyme (CYP1A), has shown similarity with mice, while human cytochrome P450, subfamily 3A enzyme (CYP3A) exists similarly in both mice and male rats(Reference Marcella, Groothuis and Kanter72). On the other hand, certain specie-specific differences also exist with some other enzyme isoforms, their organ specificity, expression and/or catalytic action. Marcella et al. (Reference Marcella, Groothuis and Kanter72) gave a detailed comparison of enzymes critical to oxidative metabolism in mice, rats and humans. This knowledge is essential for extrapolation of data to humans particularly in studies for preclinical drug development, metabolism and/or drug interactions. Additionally, altricial rodents share similarities with humans in many genes and biochemical pathways(Reference Puimana and Stolla5). Consequently, experimental methods into the metabolic programming of neonatal rodents are useful in establishing developmental mechanisms and assessing natural products that potentially prevent deficits of early life from triggering the metabolic adversities of later life.

Models of altricial rodents for neonatal programming

Animal models are useful representations of humans that allow for extensive hypotheses testing and interventions. The animal models for neonatal programming study direct or indirect postnatal exposure to stressors in the suckling stage of life. These animal models have specific focus on either postnatal exposure and neonatal programming or on the combinational effects of a longitudinal exposure from the pre-conceptional or in utero period to the postnatal period(Reference Vithayathil, Gugusheff and Ong4,Reference Toop, Muhlhausler and O’Dea55) . In this review, we categorised the models into five, based on the approaches used to trigger neonatal programming (see Tables 15 for summary of some articles). These models include altered litter size models, models of altered lactational conditions of the dams, models of altered condition of the pups (diet, photic experience, smoking and maternal separation), foster models and genetic models. These models alongside control groups are useful, singly or in conjunction, to study the development of metabolic phenotype. Using these models, structural changes in the brain, GIT, skeletal muscle, liver and plasma, alongside epigenetic events have been identified in the development of metabolic disruptions(Reference Canal, Mohammed and Rodriguez60,Reference Steegenga, Mischke and Lute63,Reference Liu, Mahmood and Srinivasan73Reference Yuan, Tsujimoto and Hashimoto76) .

Table 1. Summary of some publications using the altered litter size model for neonatal programming

CL, control litter; CR, energetic restriction; GLUT, glucose transporter; ipGTT, intraperitoneal glucose tolerance test; ipITT, intraperitoneal insulin tolerance test; IRS, insulin receptor substrate; NL, normal litter; PND, postnatal day; SL, small litter.

Table 2. Summary of some publications using the model of altered lactational condition of the dam for neonatal programming

ACh, acetylCholine; ALA, α-linolenic acid; BDNF, brain-derived neurotrophic factor; BPS, balano preputial separation; C/C, control-control diet; C, control; C57BL/6, C fifty-seven black six mice; F0/1/2, filial generation 0/1/2; FA, fatty acid; G, gestation period; GL, gestation and lactation period; H/H, HFD to HFD dam; HFD, high-fat diet; ipITT, intraperitoneal insulin tolerance test; ivGTT, intra-venous glucose tolerance test; L, lactation period; LUN, lactation undernutrition condition; M, muscarinic; NMRI, nuclear magnetic resonance imaging; o/ip-GTT, oral/intraperitoneal-GTT; PND, postnatal day; PTT, pyruvate tolerance test; SCD1, stearoyl-CoA desaturase-1; VE, age of vaginal oestrous; VO, age of vaginal opening; WAT, white adipose tissue.

Table 3. Summary of some publications using the model of altered lactational condition of the pup for neonatal programming

Abbreviations: ALB = albumin; ALP = alkaline phosphatase; ALT = alanine aminotransferase; Amx = amoxicillin; AOS = pectin-derived acidic oligosaccharides; AR = artificial rearing; D/D = dark/dark; DHA = docosahexanoic acid; DW = Distilled water; F0/1/2 = filial generation 0/1/2; FOS = fructo-oligosaccharides; GLP-1 = glucagon like peptide; GLP-1 = glucagon like peptide; GOS/In = beta-galacto-oligosaccharides/inulin mix; GOS/lcF = galacto-oligosaccharides/long-chain fructan mix; HFD = high fat diet; HFrc = high fructose; IGF = insulin growth factor; iWAT = inguinal white adipose tissue; L/D = light/dark; L/L = light/light; MR = maternal rearing; NAFLD = non-alcoholic fatty liver disease; NFD = normal fat diet; NR = nicotinamide riboside; OA = oleanolic acid; OA = oleanolic acid; OAHF = oleanolic acid and high fructose; PND = postnatal day; PYY = peptide YY (tyrosine tyrosine); RSV = resveratrol; SCN = suprachiasmatic nucleus; V = vehicle; αGOS = alpha-galacto-oligosaccharides.

Table 4. Summary of some publications using cross-foster or genetic models for neonatal programming

FA, fatty acid; ivGTT, intra-venous GTT; PND, postnatal day; T2D, type II diabetes.

Table 5. Summary of some publications using combined models for neonatal programming

AR, artificially reared; BP, blood pressure; C/H, control-HFCS diet; C/R, control dam-low protein dam; CH, control to HFD dam; CHO, carbohydrate; CR, energetic restriction; FGF21, fibroblast growth factor-21 gene; G, gestation period; GC, glucocorticoid; H/C, HFCS-control diet; HC, HFD to control dam; HFCS, high fructose corn syrup; HFD, high-fat diet; HH, HFD to HFD dam; HPA, hypothalamo–pituitary–adrenal axis; ia/ip/oGTT, intra-arterial/intraperitoneal/oral-GTT; L, lactation period; LL, large litter; MatSep, maternal separation; MR, maternally reared; NL, normal litter; P1, phase one; P2, phase two; PFC, pre-frontal cortex; PND, postnatal day; PPAR, peroxisome proliferator activator receptor; PPARα-KO, peroxisome proliferator activator receptor alfa – knock out; PTHrP, parathyroid hormone-related protein; R/C , low protein dam – control dam; R, protein-restricted dam; S/C, sucrose-control diet; S/S, sucrose–sucrose diet; SL, small litter; SL, small litter; SREBP-1c, sterol regulatory element binding protein-1c; T3, triiodothyronine; WAT , white adipose tissue; WPH, whey protein hydrolysate; WT, wild type.

Altered litter size model

The suckling period is a time of intense dependency of the offspring on the mother for caregiving. As this secondary mother–offspring interaction occurs at a periodical hallmark of development for vital organs, studying variations programmable at different stages in this period is commonplace. Also, modelling in this form is a potent tool for comparing and deepening knowledge about rodents and humans. The maternal, paternal, littermate, environmental and predatory events are associations with varying contributions to neonatal programming(Reference Lucion and Bortolini77). Studying one factor effectively involves altering the variable while normalising the others.

For long, nursing of fewer human offspring is believed to facilitate weight gain and predispose to other disorders of adult life(Reference Widdowson and McCance78). Consequently, altering the litter has been used singly or in combination with other models(Reference Schreiner, Ackermann and Michalik79), to study neonatal programming. Following its pioneer usage by Widdowson and McCance(Reference Widdowson and McCance78), modelling alterations in litter size of maternally reared pups (littermate) are currently employed in investigations of under- (large litter) and over-nutrition (small litter) on the programming of new born animals (see Table 1 ). Techniques such as this use carefully planned mating strategies. For instance, in the pioneer study, female rats were placed in groups of six across five cages and one male was introduced per cage. This ensured that at least two litters were born on same day. Once pregnant, the rats were moved to separate cages where they delivered. Same-day-old pups were immediately mixed and redistributed into small and large litters for maternal rearing. It should be noted that while some studies count the day of birth as postnatal day (PND) 1(Reference Rodrigues, Moura and Bernardino80), others mark the day of parturition as PND 0(Reference Lin, Shao and Zhou81). Though the use of PND 0 predominates (see Table 1), whatever protocol is adopted should be indicated.

The mothers’ milk contains essential micronutrients and components which are substrates for metabolism and basis for development. The female rats and mice have six and five pairs of mammary glands, respectively(Reference Brower and Skinner82). Adjustments in the litter size affect milk availability. A reduction in litter size below normal creates an increased availability of milk for the pups(Reference Boersma, Bale and Casanello83). Such offspring subjected to increased feeding by the ‘litter size effect’ have been reported to come up with weight gain and developmental changes through adult life. Small litter offspring of both rats and mice commonly develop overweight as the resulting phenotype and as such are used for investigating obesity(Reference Liu, Srinivasan and Mahmood40,Reference Ribeiro, Tófolo and Martins84) . Notably, suckling generates a directly proportional surge in oxytocin, and this endogenous oxytocin increases milk supply via the milk let-down reflex(Reference Agnish and Keller85). Given the maximum nipple occupation for mice and rats are five and six, respectively, only small litters below these numbers are useful for initiating litter size effects. Also, caution must be exercised in the use of exogenous oxytocin to stimulate milk release as this affects the study of litter size. Aside obesity, small litters have also been used in the study of Ca metabolism, the homoeostatic endocannabinoid system(Reference Schreiner, Ackermann and Michalik79,Reference Briffa, O’Dowd and Romano86) .

In contrast to the small litter, increased litter size results in an initial rise in milk volume until a limit is reached (approximately fourteen pups), beyond which milk deprivation occurs. Large litter models of numbers beyond this limit may be used to investigate growth retardation and telomere shortening(Reference Jennings, Ozanne and Dorling87). The length of chromosomal telomeres is significant indicators of early life exposure to multiple forms of stress, and they have been reported to shorten in disease states associated with stress exposure such as obesity, diabetes mellitus, CVD and more(Reference Ridout, Ridout, Goonan and Fink88). Furthermore, large litters have also been used in the study of obesity and insulin resistance(Reference Liu, Srinivasan and Mahmood40,Reference Liu, Mahmood and Srinivasan73) . Large litters are associated with lesser nursing time and selective killing of runts between postnatal days 3 and 7(Reference Gandelman and Simon89,Reference Grota and Ader90) . Ranges for small, normal and large litter studies have been described(Reference Patel and Srinivasan91) (see Fig. 1). With large litter sizing, groups with death count of two or more pups are excluded to avoid auxological development, which may present similar outcomes as small litters(Reference Schreiner, Ackermann and Michalik79). In addition, the type of diet, the class and animal species are equally important in investigating for emergence of metabolic disorders resulting from feeding(Reference Ehrampoush, Homayounfar and Davoodi92).

Fig. 1. An illustration of the litter size model useful for metabolic programming at early postnatal life. Adjustments in litter size (a) small or (b) large; determine milk availability and trigger the development of metabolic phenotypes with age. Using this model, several behaviours and phenotypes have been studied (trace boxes). CR, energetic restriction; eCB, endocannabinoid; GLUT4, glucose transporter 4; IRS, insulin receptor substrate.

Overall, the litter size correlates with variable diets in little or excess. A small litter may initiate overnutrition while a large litter may initiate undernutrition. Consequently, investigations that adopt other neonatal models for programming take measures to avoid the ‘litter size effect’ by adjusting/controlling litter size to an average number (commonly 8–12) per dam, a term known as ‘culling’ or ‘to standardise’. This helps ensure that any observed phenotypic change is due to the experimental variable and not masked by the litter size. Additionally, culling has been adopted in balancing and avoiding biased sexual ratios(Reference Agnish and Keller85,Reference Suvorov and Vandenberg93) . However, variability in culling protocols may result in variability in results and as such care must be taken when choosing a protocol. The optimum number of rodents to cull ranges from 6 to 10 pups(Reference Agnish and Keller85,Reference Gregorio, Souza-Mello and Carvalho94) ; usually on the first(Reference Lin, Shao and Zhou81), second(Reference Jennings, Ozanne and Dorling87), third(Reference Liu, Srinivasan and Mahmood40), fourth, fifth or sixth PND(Reference Agnish and Keller85).

Model of altered lactational condition of the dam

Most investigations in the lactational period of the nursing dam involve nutritional perturbations. Additional studies examine some other perturbations like maternal disorders, surgical alterations and even exercise on neonatal development(Reference Ribeiro, Tófolo and Martins84,Reference Briffa, O’Dowd and Romano86,Reference Mathias, Miranda and Barella95) . Pups suckled by diabetic and obese mothers are also common (see Table 2). Using this approach, the nursing mother is influenced, and the response is sought in the milk fed offspring. For instance, the maternal postnatal undernutrition during suckling has been studied and is implicated in the programming of metabolic diseases via changes in milk composition(Reference Wattez, Delmont and Bouvet36,Reference Martin Agnoux, Antignac and Boquien96) . Also, nutritional protocols such as the maternal low-protein diets have been developed(Reference Ma, Ozanne and Guest97) (see Fig. 2). These exposure of dams to several cues during lactation represents the commonest of models for usage in neonatal programming and like other models can be adopted singly or in combination(Reference Otani, Mori and Koyama98). With this model, it is common to quantitatively and qualitatively assess milk production. Consequently, several milk measurement strategies have been developed and adopted to determine the immediate effects of maternal disruptions to milk yield and content in mice and rats(Reference Wattez, Delmont and Bouvet36,Reference DePeters and Hovey66,Reference Gómez-Gallego, Ilo and Jaakkola67,Reference Paul, Hallam and Reimer70,Reference Willingham, McNulty and Anderson71) . Some investigators also adopt milk collection from the pup stomach(Reference Richard, Lewis and Goruk99). In addition, variabilities in milk volume have been documented, with decreased amounts being collected from inbred and primiparous compared with outbred and multiparous dams(Reference Gómez-Gallego, Ilo and Jaakkola67). Consequently, we recommend that comparative group studies should use dams of same stock/strain and parity. Furthermore, aside the weight-suckle-weight method of quantifying milk output, a water turnover method has been established(Reference Sevrin, Alexandre-Gouabau and Darmaun100).

Fig. 2. An illustration of the model of altered lactational condition of the dam. Development of the offspring metabolic health following lactation is influenced by maternal exposure and health during lactation via notable changes in milk content (untraced boxes). Using this model, several behaviours and metabolic phenotypes have been studied (traced box). ALA, α-linolenic acid; DHA, docosahexaenoic acid; FA, fatty acid; HFD, high-fat diet; NAFLD, non-alcoholic fatty liver disease; PND, postnatal day; SCD1, stearoyl-CoA desaturase-1; SREBP-1C, sterol regulatory element-binding protein-1c.

Models of altered lactational condition of the pup

Modifications in pup diet and other direct neonatal experiences can programme the development of adult metabolic phenotypes. Consequently, investigators commonly adopt the model of altered lactational condition of the pup to test for metabolic phenotypes(Reference Ribeiro, Tófolo and Martins84,Reference Otani, Mori and Koyama98,Reference Kaczmarek, Mendoza and Kozak101,Reference Rincel, Lépinay and Delage102) and examine prophylactic agents which may protect from adversities of later life(Reference Ibrahim, Chivandi and Mojiminiyi42,Reference Gumede, Lembede and Nkomozepi61,Reference Serrano, Asnani-Kishnani and Couturier75,Reference Muhammad, Lembede and Erlwanger103,Reference Nyakudya, Isaiah and Ayeleso104) . Here we highlight models that employ diet, maternal separation, photic experience or cigarette smoking in the investigation of neonatal programming (see Table 3).

Dietary inclusions

Altered diet models provide means for assessing the outcomes of several administrations or intakes – nutrients, toxins, food composition, energy – on premature gut development and metabolism. Though the mouse and rat widely differ from humans in bioavailability of nutrients, the differences on how they metabolise, utilise and dispose of nutrients are well documented and suited for research(Reference Neal-Kluever, Fisher and Grylack105). Consequently, the neonatal mice and rats have been adopted for varying dietary protocols. Additionally, due in part to their lack of emesis and increased intestinal permeability of pups as compared with adults(Reference Xu, Collins and Ghishan49), we are able to examine the influence of several dietary inclusions on neonatal development and adult metabolic health(Reference Puimana and Stolla5).

Dietary inclusion as a model of altered lactational condition of the pup may involve either maternally or artificially reared pups. The dietary inclusions may be supplementations to maternal suckling or synthesised substitutes for artificial rearing. Unlike the altered litter size models, a precise control of neonatal nutrition in terms of composition or amount can be achieved by artificial rearing. Also, aside gavage techniques, commonly adopted for supplementing littermate (maternally reared, MR) pups, intragastric feeding tubes are employed when administering rodent milk substitutes (RMS) to artificially reared pups. Feeding procedures include the ‘pup in a cup’ technique as established by Hall(Reference Hall68) for artificially reared pups and a hand-feeding technique first described by Hoshiba(Reference Hoshiba69) for MR pups. Using comparable RMS formula to natural milk composition, artificially reared pups have been proven to exhibit non-distinct growth and development from MR pups(Reference Beierle, Chen and Hartwich65,Reference Hall68) . Some investigators of neonatal programming limit dietary exposure to the PND 14 based on the fact that pups gain sight and begin to forage/nibble upon ambient substances aside the dams’ milk, i.e. pelleting(Reference Le Dréan, Pocheron and Billard62,Reference Rincel, Lépinay and Delage102,Reference Nyakudya, Isaiah and Ayeleso104) . However, others extend the period of exposure to PND 21 (weaning) as all the pups are still exposed to the same confounding variables(Reference Ibrahim, Wright and Chivandi54,Reference Serrano, Asnani-Kishnani and Couturier75,Reference Rodrigues, Moura and Bernardino80,Reference Arreguín, Ribot and Mušinović106) . Some others even extend further (PND 28) (Reference Gugusheff, Bae and Rao107).

Rodent milk substitute

Unlike maternal rearing, the artificial rearing of pups requires alternatives to the natural milk. The common alternative regimes use synthetic modifications that are comparable with the natural rodent milk composition and are termed RMS. RMS are chemically derived from diary or non-diary formula under aseptic conditions for the artificial rearing of rat(Reference Kanno, Koyanagi and Katoku108Reference Patel, Vadlamudi and Johanning110) and mice pups(Reference Yajima, Kanno and Yajima111). So far, RMS include several diet models: high-carbohydrate diet model, low-protein diet(Reference Ma, Ozanne and Guest97) and high-fat diary diet model(Reference Ehrampoush, Homayounfar and Davoodi92). Some of these diets, like the high-fat diary diet, have proven useful in investigating ameliorants of metabolic phenotypes(Reference Serrano, Asnani-Kishnani and Couturier75), as well as protective strategies(Reference Rincel, Lépinay and Delage102). Notably, modifications to enrich or deplete specific composition(s) may be made to a RMS in order to study specific interventions(Reference Motoki, Naomoto and Hoshiba112).

The pup in a cup; a technique for artificial rearing

The rat ‘pup’ in a ‘cup’ technique developed in 1975 by Hall(Reference Hall68) involves the transfer of few day old rat pups into several styrofoam cups floating on a thermo-regulated water bath(Reference Puimana and Stolla5). A miniaturised intragastric feeding cannula and an incubator housing arrangement are the two major components of this technique(Reference Hall68) (see Fig. 3). The introduction of intragastric feeding cannula (a polyethylene tubing) for mouse by Beierle et al. (Reference Beierle, Chen and Hartwich65) opened doors to the permissive usage of nutritional manipulations with a mouse pup in a cup. Thus, pup in a cup method is currently useful for both rats and mice and has proven helpful with rearing transgenic rodents(Reference Puimana and Stolla5). The insertion of intragastric cannulas employ a surgical technique for mice(Reference Beierle, Chen and Hartwich65) and nonsurgical technique for rats(Reference Hall68). A useful comparison of these techniques is found in the paper by Patel et al. (Reference Patel, Vadlamudi and Johanning110). However, such neonatal handling methods reportedly produce reproductive deficits(Reference Boersma, Bale and Casanello83). Further descriptions of artificial rearing and the pup in a cup, and their usefulness to nutritional research, has also been provided by Patel et al. (Reference Patel, Vadlamudi and Johanning110) and Patel and Hiremagalur(Reference Patel and Hiremagalur113). Using artificial rearing, several research works have examined the immediate metabolic outcomes of neonatal nutrition in mice – body weight, immunomodulation(Reference Takeda, Harauma and Okamoto114), – and rats – hyperinsulinaemia and glucose metabolism(Reference Haney, Estrin and Caliendo115,Reference Aalinkeel, Srinivasan and Kalhan116) . Also, certain long-term metabolic consequences of specific neonatal nutrition have been established for mice – cardiovascular(Reference Hussein, Fedorova and Moriguchi117) – and rats – hyperinsulinaemia and adult-onset obesity(Reference Aalinkeel, Srinivasan and Song39,Reference Vadlamudi, Hiremagalur and Tao118) , glucose and insulin homoeostasis(Reference Petrik, Srinivasan and Aalinkeel119) and leptin homoeostasis(Reference Srinivasan, Dodds and Ghanim120).

Fig. 3. Illustration of the pup-in-a-cup model used for breeding artificially reared (AR) pups. The pups in warm moist incubators (floating Styrofoam cups insulate the pups from direct contact with heat source, i.e. water bath) water at 40°C from 2 to 13 postnatal day (PND) to keep pup axillary temp at 32–36°C. The intragastric cannula (PE leads) emerge from the lids of the cups (not shown) and pass across to syringe mounted infusion pumps(Reference Hall68). PE, polyethylene.

Hand-feeding technique for maternal rearing

Rodents are omnivores and several commercial diets are available for their intake(Reference Duke Boynton, Dunbar and Koewler121). Oral gavage represents the classical involuntary and most common way of administering liquid compounds to conscious pups. Of the different types of gavage needles (curved or straight, flexible or rigid), we recommend the use of the curved flexible kind due to lower risks of oesophageal damage and since they cannot be chewed by the pups (see Fig. 4). Also in use is a hand-feeding technique first described by Hoshiba(Reference Hoshiba69). This uses a surrogate nipple for artificially reared mouse pups, which despite tediousness and time devotion, enables post-gravid study of pups and prevents physical injuries. Several nipple sizes have been described for mice and rats(Reference Hoshiba69). With this method, mouse pups receive calibrated amounts of nutrients with relatively reduced chances of physical trauma as inherent in the native gavage method of larger rats(Reference Halpern, Khailova and Molla-Hosseini122).

Fig. 4. Oral supplementation/intermittent feeding of maternally reared (MR) pups. Using this model of altered lactational condition of the pup, several behaviours and phenotypes have been studied (traced box). Fgf21 = fibroblast growth factor-21; NAFLD, non-alcoholic fatty liver disease; OA, oleanolic acid; OS, oligosaccharide; PPAR-α, peroxisome proliferator activated protein -alpha; WAT, white adipose tissue.

Maternal separation

Some studies have adopted maternal separation (MatSep) as a model for simulating neglect and predisposing to metabolic disorders(Reference Rincel, Lépinay and Delage102). The suckling pups are typically separated from the dam for 2–8 h daily across several days(Reference Boersma, Bale and Casanello83). A similar procedure to MatSep called ‘neonatal handling’ involves lesser timed separations of pup or litter from the dam and has been described elsewhere(Reference Raineki, Lucion and Weinberg123). Furthermore, with MatSep, the outcomes appear to be more prominent with inbred rat strains than outbred stocks. Lastly, when conducting MatSep, it is important to consider the age at initiation, short (<24 h) or long term.

Other models of altered pup condition; photic experience and smoking

Though uncommon, pup exposure to light has been investigated and shown to account for phenotypic changes associated with circadian rhythm such as related to astrocytes(Reference Canal, Mohammed and Rodriguez60). The effect of cigarette smoking has also been studied on pup development(Reference Novaes Soares, Silva Tavares Rodrigues and Cherem Peixoto124).

Cross-foster models

Cross-fostering involves the transfer of nursing pups from control dams to either metabolically compromised, stressor exposed or even healthy dams during the period of lactation. This is illustrated in Fig. 5. It is useful in the nutritional, hormonal or behavioural investigation of metabolic phenotypes(Reference Matthews, Samuelsson and Seed125). This model is most advantageous in delineating the outcomes of neonatal/lactational programming from gestational programming(Reference Miranda, da Silva Franco and de Oliveira35).

Fig. 5. A cross-foster of litter from a healthy dam to an obese dam. Using the cross-foster model some behaviour and phenotypes have been studied (traced box). Alterations in milk composition influences the offspring metabolic phenotype via epigenetics.

Though sometimes useful as an adversity in itself(Reference Matthews, Samuelsson and Seed125), cross-fostering of offspring from metabolically compromised dams (e.g. obese dams) to normal dams has reportedly mitigated the adverse effects of programming(Reference Miranda, da Silva Franco and de Oliveira35,Reference Romano, Wark and Owens126) . Conversely, cross-fostering of pups from a healthy to a malprogrammed dam (such as protein restricted, diabetic dams) triggers metabolic disruptions of adult life(Reference Martin Agnoux, El Ghaziri and Moyon74,Reference Fahrenkrog, Harder and Stolaczyk127) . When cross fostering, investigators avoid biased maternal care that may result from co-housing of biological and fostered pups. This is by ensuring none of the new born animals remains together with the biological dam(Reference Schreiner, Ackermann and Michalik79). Furthermore, the systematic cross-fostering of pups involves the distribution of pups across dams of the same status and has been adopted in culling pups(Reference Morel, Oozeer and Piloquet128). Following cross-fostering, the pup/dam cages are sometimes maintained for an extended period (e.g. PND 35) to account for natural weaning that may be longer than standard weaning at PND 21(Reference Romano, Wark and Owens126). Additionally, this model has also been adopted alongside other models such as the genetic model(Reference Schroeder, Shbiro and Moran41), models of altered pup condition – MatSep(Reference Huot, Gonzalez and Ladd129) (see Table 4).

Genetic models

More so in mice than rats, rodents are resourceful models in the study of the genetic aetiology of some complex human diseases(Reference Otto, Franklin, Clifford, Fox, Anderson and Otto38). Using potent advances in reproductive and genetic technology, researchers have been able to understand and dissect the molecular basis behind certain metabolic conditions(Reference Agca, Suckow, Hankenson and Wilson130). Genetically modified rodents could be modelled for diseases (resistant or predisposed to the condition) or for identifying/validating new drugs. They include inbred and hybrid (F1 and F2) strains, most of which are products of mutations, transgenic modifications (gain) or gene inactivation (loss of function)(Reference Agca, Suckow, Hankenson and Wilson130,Reference Hedrich and Suckow131) . These models are powerful tools that give room to tease apart the influence of metabolic primers or other selected variables on neonatal development (see Table 4).

Genetic models may serve several roles in neonatal programming. First, as a means of examining the effects of wet nursing in cross-fostering paradigms. Modified rodents are introduced as nursing dams to suckle pups cross-fostered from a control lineage. As like other models, Table 5 shows the combinational utility of this model alongside others. Using such genetic models in combination with cross-fostering, Reifsnyder and co-workers have been able to demonstrate that the maternal environmental influence is due to early obesity-inducing factors present in the milk of obese dams(Reference Reifsnyder, Churchill and Leiter132). In this scenario, the rodents may be engineered to possess a known metabolic disorder. Such studies are usually aimed at elucidating the independent influences the malprogrammed dam has on the suckling pup. In another usage, the offspring are genetically predisposed to or even exempted from a disorder(Reference Yuan, Tsujimoto and Hashimoto76), while testing for the therapeutic impacts that neonatal interventions have on the inheritance and/or development of the adult phenotype, that is, they serve as control subjects in neonatal programming(Reference Yuan, Tsujimoto and Hashimoto76).

Following the development of the first knockout mouse in 1987(Reference Mansour, Thomas and Capecchi133), and the first knockout rat in 2009(Reference Geurts, Cost and Freyvert134), genetic models are gradually permeating investigations in neonatal programming. Interestingly, genetically engineered mice have found use in the development of milk substitutes(Reference Kao, DePeters and Van Eenennaam34) and aid the study of genes in lactational programming(Reference Cowley, Garfield and Madon-Simon135). An example of genetically engineered mice used for neonatal metabolic programming include C57B/6J, New Zealand obese mouse pups (a genetic animal model for obesity and type 2 diabetes)(Reference Reifsnyder, Churchill and Leiter132). Examples of genetically modified rats used for neonatal metabolic programming include ZDF (Zucker rat), GK (Goto-Zakiki rat) – for type 2 diabetes mellitus and Otsuka Long Evans Tokushima Fatty (OLETF) rats (diabetes, obesity and CCK1 receptor)(Reference Schroeder, Shbiro and Moran41).

Considerations when selecting altricial rodents for neonatal programming

Despite the extensive degree of investigations that can be conducted using pups even of inbred status, there remains some potential to derail an experiment, creating bias that hinder the initial focus of experimentation. These biases could arise from methodology chosen and are prevented when pertinent caveats and certain factors such as history, physiology, identification, sample collection, sexual dimorphism and breeding are taken into account. When selecting suitable models that suit research objectives, these principal considerations must be made.

Historical profile

Thorough knowledge of the rodent history is crucial for research. Perhaps, a vital criterion for the examination of an accurate pup phenotype is to obtain a healthy parent. It is important to consider the genetic background of the dam and fetal environment of the pup. Through the right enquiry, the source of the animal, age, stock or strain and breeding profile (previous environment) could be ascertained(Reference Daviau136). Furthermore, it is important to enquire about housing conditions and feeding/drinking paradigms (diet type – for open-formula diet, diet source and water source/supply method) of laboratory rodents to avoid interference with research methods particularly with neophobic strains. An indication of rodent history and origin is primary to the replicability of a research. In addition, during procurement, we recommend that the rodent undergoes relative physical examination for diseases (general and zoonotic).

Rodent physiology

The laboratory mouse and rat may sometimes exhibit coprophagy and cannibalism(Reference Daviau136), which affects the outcome of research. These we believe arise when dams are stressed. Consequently, care and close monitoring must be adopted to reduce stress. Noteworthy, rodent’s eyes are exophthalmic and bear a periorbital harderian gland for the secretion of porphyrin, predominantly when stressed(Reference Otto, Franklin, Clifford, Fox, Anderson and Otto38). This secretion gives tears a reddish tinge which could be mistaken for bleeding. Though rodents lack sweat glands and emetic centre, they possess scent glands(Reference Otto, Franklin, Clifford, Fox, Anderson and Otto38), which hypothetically could detect foreign cues on pups post-handling and may trigger cannibalism via an unknown mechanism. Furthermore, Table 6 highlights some variable physiologic parameters of rats and mice. These may show deviations based on rodent source, stock or strain.

Sexing of the pups

Though other methods exist, sexing of the pups is commonly done by comparing the anogenital distance of male and female littermates, as shown in Fig. 6. This distance is longer in males(Reference Lohmiller, Swing, Hanson, Suckow, Hankenson and Wilson137). Also, pre-weaned male pups have undescended testes, while the females have rudimentary mammae (appearing at PND 8–9) and an occluded vaginal opening(Reference Brower and Skinner82,Reference Vidal138) .

Fig. 6. Showing the anogenital distance of 7 d old Swiss mice (littermates). ♀, anogenital distance of a female pup ≈ 2·5 cm. ♂, anogenital distance of a male pup ≈ 4 cm.

Sexual differences (sexual dimorphism)

Several studies of metabolic programming have demonstrated that same stimulus elicits variable long-term effects based on the sex of the rodent offspring(Reference George, Draycott and Muir3,Reference Rodrigues, Moura and Bernardino80,Reference Kaczmarek, Mendoza and Kozak101,Reference Novaes Soares, Silva Tavares Rodrigues and Cherem Peixoto124) . The molecular mechanisms behind this dimorphism are not well understood. However, this unavoidable sexual differences appear long before embryo implantation, gonadal development, sex hormone differentiation or even programming(Reference Reichetzeder, Dwi Putra and Li19). This could be a result of unidentical sex chromosomes (i.e. Y and X chromosomal genes), which give rise to dissimilar transcripts whose expression can also alter the transcription of autosomal genes (in a process of genetic imprinting: in which only a paternal or maternal copy of an allele is exclusively expressed), thus amplifying the sexual difference(Reference Bermejo-Alvarez, Rizos and Lonergan139). Possibly, the early differential expression of proteins influences molecular pathways (glucose and protein metabolism) and impacts on epigenetic mechanisms (especially DNA methylation). The result is a sex-based difference with susceptibility to environmental cues leading to distinct outcomes in adult health independent of neonatal programming. Consequently, a number of outcomes have been attributed to sexual dimorphism. For instance, though runts are rare, male pups are slightly heavier than female littermates and maternal behaviour has been shown to also vary with the sex of the pup. Due to such dimorphisms, several studies show sex preference for male than female pups(Reference Liu, Mahmood and Srinivasan73,Reference Serrano, Asnani-Kishnani and Couturier75,Reference Mathias, Miranda and Barella95,Reference Richard, Lewis and Goruk140) . However, sexual bias should be used only with genuine justifications, as new discoveries could be masked by sex.

In altered diet models of low protein, researchers tend to use male pups due to sexual differences in insulin levels and glucose tolerance that have been observed in earlier studies(Reference Mathias, Miranda and Barella95). Others prefer male rodents due to susceptibility to changes in adiposity and body weight in the context of metabolic programming(Reference Butruille, Marousez and Pourpe59). Conversely, some articles specific for either male or female sex fail to report appropriate justification for usage(Reference Fante, Simino and Reginato32). This raises serious concerns, as no satisfactory background is laid. Consequently, single sex research should carry appropriate justification for usage.

Handling of the pups

When investigators handle pups, the goal is to accomplish the ideal task with the least amount of restraint to avoid agitation, reduce stress and avoid experimental variations by relaxed handling. It is also important that appropriate personal protective equipment’s are used to minimise exposure to hazardous agents and allergens. Unlike adult rodents, the neonates are rather fragile and a major concern when handling is the contact which may incite cannibalism by the dam(Reference Raineki, Lucion and Weinberg123). Also, males and females are housed separately after weaning to avoid aggression and dominance(Reference Kaczmarek, Mendoza and Kozak101).

Identification of the pups

Besides the use of cage and nontoxic tail colour tags for identifying pup groups(Reference Nyakudya, Mukwevho and Nkomozepi43,Reference Nyakudya, Isaiah and Ayeleso104) , researchers also adopt toe clipping and tattooing. Toe clipping represents the removal of digits for identification and genotyping(Reference Kao, DePeters and Van Eenennaam34). It is useful for identifying genetically modified mice at the suckling stage. Though, perceived to be painful for routine usage, toe clipping has proven to be a fast, safe and easy method. Along established protocols, short- or long-term effects of toe clipping are shown to be completely avoidable(Reference Paluch, Lieggi and Dumont64). Manual and micro-tattoo systems create tattoo markers on the tail, toes and footpads of pups to aid identification. Electronic microchip devices are also available(Reference Duke Boynton, Dunbar and Koewler121). Pup identification is important for determining the origins of unexpected breeding errors.

Sample collection

Several methods of neonatal euthanasia have been described(Reference Danneman and Mandrell141Reference Pritchett-Corning143). Acceptable techniques include the injection of chemical anaesthetic, cervical dislocation and decapitation(Reference Valentim, Guedes and Pereira144). Euthanasia is done at the same period of the day to avoid the circadian influence on metabolic outcomes(Reference Martin Agnoux, El Ghaziri and Moyon74). Some articles fail to clearly highlight the samples obtained after euthanasia(Reference Jennings, Ozanne and Dorling87,Reference Arreguín, Ribot and Mušinović106) , which is detrimental to research reporting. Furthermore, the collection of specimens such as blood, milk (from pup stomach), is unavoidable parts of most developmental research. Consequently, given that neonatal rats and mice are perceptive to pain, suitable procedures that initiate the least possible harm are encouraged.

Blood represents a vast repertoire of developmental parameters and is a window to the physiological status of the neonate. Considerations regarding the method of blood collection include anaesthesia to be used and impact of the assessment to be conducted(Reference Duke Boynton, Dunbar and Koewler121). Given the difficulty associated with serial blood sample collection, particularly of mice, decapitation is most commonly adopted(Reference Martin Agnoux, El Ghaziri and Moyon74,Reference Serrano, Asnani-Kishnani and Couturier75,Reference Otani, Mori and Koyama98) . However, cardiac puncture has been specially adopted for collecting blood samples from neonatal rats by Grazer(Reference Grazer145). Notably, though neonates metabolise drugs slowly, they display relative resistance to hypoxia(Reference Valentim, Guedes and Pereira144). Thus, for anaesthesia, age represents another consideration because neonatal rodents show relatively greater resistance to CO2 compared with adults. Such resistance causes delayed time of death (sometimes 50 min at PND0 for mice), which gradually decreases with increasing age; 3 min decrease per day between PND 0–10 for rats(Reference Pritchett, Corrow and Stockwell142,Reference Pritchett-Corning143) . Consequently, moderate considerations must be made when euthanising the suckling mice or rats with CO2. In addition, to confirm death following anaesthesia, secondary techniques such as bilateral pneumothorax and immersion in liquid nitrogen (for hairless neonates) may be used(Reference Valentim, Guedes and Pereira144). The weight and genetic background (stocks and strains) of neonatal rodents are also important considerations when euthanising(Reference Pritchett, Corrow and Stockwell142Reference Valentim, Guedes and Pereira144).

Breeding

To facilitate timed and synchronised births, prime considerations are made about the reproduction of pups from parental rodents. Knowledge of how to identify and control rodent mating, gestation and parturition is priceless in this pursuit. For the selection of a mating regime, it is advisable to consider three conditions of the dams: the Whitten effect (synchronised oestrus when a new male is added), the Bruce effect (delayed embryo implantation when a new male is added) and the Lee-Boot effect (absent oestrus when females are caged together). All three conditions are more pronounced with mice, while the Whitten effect is completely lacking in rats(Reference Lohmiller, Swing, Hanson, Suckow, Hankenson and Wilson137). In addition, due to their prolific nature, these rodents exhibit fertile postpartum oestrus and special assistance is needed to curb overpopulation. Notably, normal gestation that lasts about 21 days is extended by suckling. Also, under the right conditions, a pair of housed mice can generate a progeny of approximately 50,000 members in 1 year(Reference Daviau136).

Conclusions

An appropriate understanding of the differences that lie in model usage and protocols is gainfully essential. The five models recognised in this review are useful to varying degrees for the investigation of neonatal programming and several variabilities accompanying their usage have been identified. They may be used singly or in combination, and the metabolic outcomes from one model may vary from that of another. For instance, neonatal programming for adult-onset obesity had been shown to be reversible, by Liu et al. (Reference Liu, Srinivasan and Mahmood40) and not reversible by energy restriction by Srinivasan et al. (Reference Srinivasan, Mahmood and Patel146) Explanation for these opposing findings may lie in the models adopted as well as different levels of caloric restriction employed in these two studies. While Liu et al. (Reference Liu, Srinivasan and Mahmood40) adopted the ‘altered litter size model’, Srinivasan et al. (Reference Srinivasan, Mahmood and Patel146) adopted the ‘model of altered pup diet’, both arriving at scientifically acceptable results. That the animal models differ but prime for similar metabolic outcomes such as obesity, advocates for improved mechanistic evaluation to elucidate outcome differences. Also, choosing the right model for research should be accompanied with relevant considerations which when clearly stated aid the reproducibility of an investigation and allow for the interpretation of comparative reports and experimental variability. Furthermore, it is evident that the rat and mouse are excellent models for investigations focused at understanding the metabolic consequences of genetics, epigenetics, nutrient availability, natural lactation and/or substituted suckling. Thus, for example, given that prematurity is associated with neonatal programming(Reference Reichetzeder, Dwi Putra and Li19), studies using these models could help in developing optimal nutritional strategy for preterm mammals. Overall, these models are useful for studying the pathogenesis of metabolic disorders and developing strategies for their prevention and treatment.

Statements of Significance

  1. According to DOHaD (developmental origins of adult health and disease), the neonatal period is a critically responsive time to cues that may trigger adaptation of the metabolic phenotype.

  2. Rodent-based investigations remain the predominant means of studying the results of this ‘neonatal programming’ on metabolic health.

  3. Here we establish, for the first time, five approach-based models of rodents useful to neonatal programming.

  4. Novel considerations to guide the design and conduct of newer experiments are also highlighted.

  5. This will provide background and guide to biomedical and nutritional researchers focused on the aetiology, mechanisms, prevention and treatment of metabolic disorders.

Acknowledgements

We appreciate the intellectual support and resource provided by staff and postgraduate members of the Centre for Advanced Medical Research and Training (CAMRET), Usmanu Danfodiyo University, Sokoto, Nigeria. D. U. acknowledges the postgraduate scholarship awarded to him (CAMRET/2019/MSc/SCH003) by CAMRET.

No specific funding was received to support this work.

K. G. I. conceptualised the review. D. U.: composed the outline, drafted the manuscript and drew the figures. K. G. I., M. B. B., I. M., B. A., M. B. A. and M. U. I.: edited drafts and contributed to the organisation of the manuscript. K. G. I., M. B. A. and M. U. I.: validated the review and revised the manuscript. The manuscript was written through contributions of all authors. All authors have read and approved the final manuscript. Figures 1–5 were created using Biorender.

The authors have no relationship with industry and no potential financial conflicts of interest relevant to the submitted manuscript.

References

Saklayen, M (2018) The global epidemic of the metabolic syndrome. Curr Hypertens Rep 20, 18.CrossRefGoogle ScholarPubMed
Hernández-Granados, MJ, Ramírez-Emiliano, J & Franco-Robles, E (2018) Rodent models of obesity and diabetes. In Experimental Animal Models of Human Diseases – An Effective Therapeutic Strategy, pp. 105121 [Ibeh, B, editor]. London: IntechOpen. www.doi.org/10.5772/intechopen.74595 Google Scholar
George, G, Draycott, SAV, Muir, R, et al. (2019) Exposure to maternal obesity during suckling outweighs in utero exposure in programming for post-weaning adiposity and insulin resistance in rats. Sci Rep 9, 10134.CrossRefGoogle ScholarPubMed
Vithayathil, MA, Gugusheff, JR, Ong, ZY, et al. (2018) Exposure to maternal cafeteria diets during the suckling period has greater effects on fat deposition and Sterol Regulatory Element Binding Protein-1c (SREBP-1c) gene expression in rodent offspring compared to exposure before birth. Nutr Metab 15, 17.CrossRefGoogle ScholarPubMed
Puimana, P & Stolla, B (2008) Animal models to study neonatal nutrition in humans. Curr Opin Clin Nutr Metab Care 11, 601606.CrossRefGoogle Scholar
Cheng, Z, Zheng, L & Almeida, FA (2018) Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond. J Nutr Biochem 54, 110.CrossRefGoogle ScholarPubMed
Panchal, SK & Brown, L (2011) Rodent models for metabolic syndrome research. J Biomed Biotechnol 114. https://doi.org/10.1155/2011/351982 CrossRefGoogle ScholarPubMed
Wong, SK, Chin, K, Suhaimi, FH, et al. (2016) Animal models of metabolic syndrome: a review. Nutr Metab 13, 112.CrossRefGoogle ScholarPubMed
Alquier, T & Poitout, V (2018) Considerations and guidelines for mouse metabolic phenotyping in diabetes research. Diabetologia 61, 526538.CrossRefGoogle ScholarPubMed
Flamm, EG (2013) Neonatal animal testing paradigms and their suitability for testing infant formula. Toxicol Mech Meth 23, 5767.CrossRefGoogle ScholarPubMed
Pérez-Cano, FJ, Franch, À, Castellote, C, et al. (2012) The suckling rat as a model for immunonutrition studies in early life. Clin Dev Immunol 2012, 537310.CrossRefGoogle ScholarPubMed
McClain, RM, Keller, D, Casciano, D, et al. (2001) Neonatal mouse model: review of methods and results. Toxicol Pathol 29, 128137.CrossRefGoogle ScholarPubMed
Barker, DJ & Osmond, C (1986) Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1, 10771081.CrossRefGoogle ScholarPubMed
Calderari, S, Gangnerau, M, Meile, M, et al. (2006) Is defective pancreatic beta-cell mass environmentally programmed in Goto-Kakizaki rat model of type 2 diabetes? Insights from crossbreeding studies during suckling period. Pancreas 33, 412417.CrossRefGoogle ScholarPubMed
Hales, CN & Barker, DJ (2001) The thrifty phenotype hypothesis. Br Med Bull 60, 520.CrossRefGoogle ScholarPubMed
Koletzko, B (2005) Developmental origins of adult disease: barker’s or Dorner’s hypothesis? Am J Hum Biol 17, 381382.CrossRefGoogle ScholarPubMed
Armitage, JA, Taylor, PD & Poston, L (2005) Experimental models of developmental programming: consequences of exposure to an energy rich diet during development. J Physiol 565, 38.CrossRefGoogle Scholar
Mandy, M & Nyirenda, M (2018) Developmental origins of health and disease: the relevance to developing nations. Int Health 10, 6670.CrossRefGoogle ScholarPubMed
Reichetzeder, C, Dwi Putra, SE, Li, J, et al. (2016) Developmental origins of disease – crisis precipitates change. Cell Physiol Biochem 39, 919938.CrossRefGoogle ScholarPubMed
Xu, Y, Wang, W, Chen, M, et al. (2019) Developmental programming of obesity by maternal exposure to concentrated ambient PM2.5 is maternally transmitted into the third generation in a mouse model. Part Fibre Toxicol 16, 27.CrossRefGoogle ScholarPubMed
Benyshek, DC, Johnston, CS & Martin, JF (2006) Glucose metabolism is altered in the adequately – nourished grand – offspring (F3 generation) of rats malnourished during gestation and perinatal life. Diabetologia 49, 11171119.CrossRefGoogle ScholarPubMed
Aiken, CE, Tarry-Adkins, JL & Ozanne, SE (2016) Transgenerational effects of maternal diet on metabolic and reproductive ageing. Mamm Genome 27, 430439.CrossRefGoogle ScholarPubMed
Kramer, MS & Kakuma, R (2012) Optimal duration of exclusive breastfeeding. Cochrane Database Syst Rev 2012, Cd003517.Google Scholar
Barrow, PC, Barbellion, S & Stadler, J (2011) Preclinical evaluation of juvenile toxicity. Methods Mol Biol 691, 1735.CrossRefGoogle ScholarPubMed
Picut, C, Dixon, D, Simons, M, et al. (2014) Postnatal ovary development in the rat. Toxicol Pathol 43, 343353.CrossRefGoogle ScholarPubMed
Fall, CHD & Kumaran, K (2019) Metabolic programming in early life in humans. Philos Trans R Soc Lond B Biol Sci 374, 20180123.CrossRefGoogle ScholarPubMed
Goyal, D, Limesand, SW & Goyal, R (2019) Epigenetic responses and the developmental origins of health and disease. J Endocrinol 242, T105T119.CrossRefGoogle ScholarPubMed
Plagemann, A, Roepke, K, Harder, T, et al. (2010) Epigenetic malprogramming of the insulin receptor promoter due to developmental overfeeding. J Pe&x0301;rinat Med 38, 393400.Google ScholarPubMed
Lillycrop, KA & Burdge, GC (2012) Epigenetic mechanisms linking early nutrition to long term health. Best Pract Res Clin Endocrinol Metab 26, 667676.CrossRefGoogle ScholarPubMed
Wells, JC (2007) Flaws in the theory of predictive adaptive responses. Trend Endocrinol Metab 18, 331337.CrossRefGoogle ScholarPubMed
Bateson, P, Gluckman, P & Hanson, M (2014) The biology of developmental plasticity and the predictive adaptive response hypothesis. J Physiol 592, 23572368.CrossRefGoogle ScholarPubMed
Fante, TD, Simino, LA, Reginato, A, et al. (2016) Diet-induced maternal obesity alters insulin signalling in male mice offspring rechallenged with a high-fat diet in adulthood. PLoS One 11, e0160184.CrossRefGoogle ScholarPubMed
Gomes, RM, Bueno, FG, Schamber, CR, et al. (2018) Maternal diet-induced obesity during suckling period programs offspring obese phenotype and hypothalamic leptin/insulin resistance. J Nutr Biochem 61, 2432.CrossRefGoogle ScholarPubMed
Kao, BT, DePeters, EJ & Van Eenennaam, AL (2006) Mice raised on milk transgenically enriched with n-3 pufa have increased brain docosahexaenoic acid. Lipids 41, 543549.CrossRefGoogle ScholarPubMed
Miranda, RA, da Silva Franco, CC, de Oliveira, JC, et al. (2016) Cross-fostering reduces obesity induced by early exposure to monosodium glutamate in male rats. Endocrine 55, 101112.CrossRefGoogle ScholarPubMed
Wattez, JS, Delmont, A, Bouvet, M, et al. (2015) Maternal perinatal undernutrition modifies lactose and serotranferrin in milk: relevance to the programming of metabolic diseases? Am J Physiol Endocrinol Metab 308, E393401.CrossRefGoogle Scholar
Lewis, AJ, Galbally, M, Gannon, T, et al. (2014) Early life programming as a target for prevention of child and adolescent mental disorders. BMC Med 12, 33.CrossRefGoogle ScholarPubMed
Otto, GM, Franklin, CL & Clifford, CB (2015) Biology and diseases of rats. In Laboratory Animal Medicine, pp. 151207 [Fox, J, Anderson, L, Otto, G, et al. editors]. Amsterdam, Netherlands: Elsevier Inc. https://doi.org/10.1016/B978-0-12-409527-4.00004-3 CrossRefGoogle Scholar
Aalinkeel, R, Srinivasan, M, Song, F, et al. (2001) Programming into adulthood of islet adaptations induced by early nutritional intervention in the rat. Am J Physiol Endocrinol Metab 281, E640E648.CrossRefGoogle ScholarPubMed
Liu, HW, Srinivasan, M, Mahmood, S, et al. (2013) Adult-onset obesity induced by early life overnutrition could be reversed by moderate caloric restriction. Am J Physiol Endocrinol Metab 305, E785E794.CrossRefGoogle ScholarPubMed
Schroeder, M, Shbiro, L, Moran, TH, et al. (2010) Maternal environmental contribution to adult sensitivity and resistance to obesity in Long Evans rats. PLoS One 5, e13825.CrossRefGoogle ScholarPubMed
Ibrahim, KG, Chivandi, E, Mojiminiyi, FBO, et al. (2017) The response of male and female rats to a high-fructose diet during adolescence following early administration of Hibiscus sabdariffa aqueous calyx extracts. J Dev Orig Health Dis 8, 628637.CrossRefGoogle ScholarPubMed
Nyakudya, TT, Mukwevho, E, Nkomozepi, P, et al. (2018) Neonatal intake of oleanolic acid attenuates the subsequent development of high fructose diet-induced non-alcoholic fatty liver disease in rats. J Dev Orig Health Dis 9, 500510.CrossRefGoogle ScholarPubMed
Gibbs, RA, Weinstock, GM, Metzker, ML, et al. (2004) Genome sequence of the Brown Norway rat yields insights into mammalian evolution. Nature 428, 493521.Google ScholarPubMed
Waterston, RH, Lindblad-Toh, K, Birney, E, et al. (2002) Initial sequencing and comparative analysis of the mouse genome. Nature 420, 520562.Google ScholarPubMed
Vandamme, TF (2014) Use of rodents as models of human diseases. J Pharm Bioallied Sci 6, 29.CrossRefGoogle ScholarPubMed
Aïn, S, Belin, L, Schaal, B, et al. (2013) How does a newly born mouse get to the nipple? Odor substrates eliciting first nipple grasping and sucking responses. Dev Psychobiol 55, 888901.CrossRefGoogle Scholar
Teichberg, S, Wapnir, RA, Moyse, J, et al. (1992) Development of the neonatal rat small intestinal barrier to nonspecific macromolecular absorption. II. Role of dietary corticosterone. Pediatr Res 32, 5057.CrossRefGoogle ScholarPubMed
Xu, H, Collins, J & Ghishan, F (2012) Molecular physiology of gastrointestinal function during development. Physiol Gastrointestinal Tract 1, 415449.CrossRefGoogle Scholar
Cohen, MB, Guarino, A, Shukla, R, et al. (1988) Age-related differences in receptors for Escherichia coli heat-stable enterotoxin in the small and large intestine of children. Gastroenterology 94, 367373.CrossRefGoogle ScholarPubMed
Cohen, MB, Moyer, MS, Luttrell, M, et al. (1986) The immature rat small intestine exhibits an increased sensitivity and response to Escherichia coli heat-stable enterotoxin. Pediatr Res 20, 555560.CrossRefGoogle ScholarPubMed
Seo, JK, Chu, SH & Walker, WA (1989) Development of intestinal host defense: an increased sensitivity in the adenylate cyclase response to cholera toxin in suckling rats. Pediatr Res 25, 225227.CrossRefGoogle ScholarPubMed
Swenson, ES, Mann, EA, Jump, ML, et al. (1996) The guanylin/STa receptor is expressed in crypts and apical epithelium throughout the mouse intestine. Biochem Biophys Res Commun 225, 10091014.CrossRefGoogle ScholarPubMed
Ibrahim, KG, Wright, HL, Chivandi, E, et al. (2019) The potential developmental programming effect of oral curcumin on the bone health and plasma total osteocalcin of male and female rats fed a high-fructose diet during suckling and post weaning. Gen Physiol Biophys 38, 435444.CrossRefGoogle ScholarPubMed
Toop, CR, Muhlhausler, BS, O’Dea, K, et al. (2017) Impact of perinatal exposure to sucrose or high fructose corn syrup (HFCS-55) on adiposity and hepatic lipid composition in rat offspring. J Physiol 595, 43794398.CrossRefGoogle ScholarPubMed
Antonowicz, I & Lebenthal, E (1977) Developmental pattern of small intestinal enterokinase and disaccharidase activities in the human fetus. Gastroenterology 72, 12991303.CrossRefGoogle ScholarPubMed
Boudreau, F, Rings, EH, van Wering, HM, et al. (2002) Hepatocyte nuclear factor-1 α, GATA-4, and caudal related homeodomain protein Cdx2 interact functionally to modulate intestinal gene transcription. Implication for the developmental regulation of the sucrase-isomaltase gene. J Biol Chem 277, 3190931917.CrossRefGoogle ScholarPubMed
Ménard, D & Pothier, P (1987) Differential distribution of digestive enzymes in isolated epithelial cells from developing human fetal small intestine and colon. J Pediatr Gastroenterol Nutr 6, 509516.CrossRefGoogle ScholarPubMed
Butruille, L, Marousez, L, Pourpe, C, et al. (2019) Maternal high-fat diet during suckling programs visceral adiposity and epigenetic regulation of adipose tissue stearoyl-CoA desaturase-1 in offspring. Int J Obes 43, 23812393.CrossRefGoogle ScholarPubMed
Canal, MM, Mohammed, NM & Rodriguez, JJ (2009) Early programming of astrocyte organization in the mouse suprachiasmatic nuclei by light. Chronobiol Int 26, 15451558.CrossRefGoogle Scholar
Gumede, NM, Lembede, BW, Nkomozepi, P, et al. (2020) β-Sitosterol mitigates the development of high-fructose diet-induced nonalcoholic fatty liver disease in growing male Sprague-Dawley rats. Can J Physiol Pharmacol 98, 4450.CrossRefGoogle ScholarPubMed
Le Dréan, G, Pocheron, AL, Billard, H, et al. (2019) Neonatal consumption of oligosaccharides greatly increases l-cell density without significant consequence for adult eating behavior. Nutrients 11, 1967.CrossRefGoogle ScholarPubMed
Steegenga, WT, Mischke, M, Lute, C, et al. (2017) Maternal exposure to a Western-style diet causes differences in intestinal microbiota composition and gene expression of suckling mouse pups. Mol Nutr Food Res 61, 1600141.CrossRefGoogle ScholarPubMed
Paluch, L-R, Lieggi, CC, Dumont, M, et al. (2014) Developmental and behavioral effects of toe clipping on neonatal and preweanling mice with and without vapocoolant anesthesia. J Am Assoc Lab Anim Sci 53, 132140.Google ScholarPubMed
Beierle, EA, Chen, MK, Hartwich, JE, et al. (2004) Artificial rearing of mouse pups: development of a mouse pup in a cup model. Pediatr Res 56, 250255.CrossRefGoogle ScholarPubMed
DePeters, E & Hovey, R (2009) Methods for collecting milk from mice. J Mammary Gland Biol Neoplasia 14, 397400.CrossRefGoogle ScholarPubMed
Gómez-Gallego, C & Ilo, T, Jaakkola, UM, et al. (2014) A method to collect high volumes of milk from mice (mus musculus). Anales Veterinaria Murcia 29, 5561.Google Scholar
Hall, WJ (1975) Weaning and growth of artificially reared rats. Science 190, 1331315.CrossRefGoogle ScholarPubMed
Hoshiba, J (2004) Method for hand-feeding mouse pups with nursing bottles. Contemp Topics 43, 5053.Google ScholarPubMed
Paul, HA, Hallam, MC & Reimer, RA (2015) Milk collection in the rat using capillary tubes and estimation of milk fat content by creamatocrit. J Visualized Exp: JoVE 106, e53476.Google Scholar
Willingham, K, McNulty, E, Anderson, K, et al. (2014) Milk collection methods for mice and Reeves’ muntjac deer. J Visualized Exp: JoVE 89, 51007.Google Scholar
Marcella, M, Groothuis, GMM & Kanter, R (2007) Species differences between mouse, rat, dog, monkey and human CYPmediated drug metabolism, inhibition and induction. Expert Opin Drug Metab Toxicol 2, 875893.Google Scholar
Liu, HW, Mahmood, S, Srinivasan, M, et al. (2013) Developmental programming in skeletal muscle in response to overnourishment in the immediate postnatal life in rats. J Nutr Biochem 24, 18591869.CrossRefGoogle ScholarPubMed
Martin Agnoux, A, El Ghaziri, A, Moyon, T, et al. (2018) Maternal protein restriction during lactation induces early and lasting plasma metabolomic and hepatic lipidomic signatures of the offspring in a rodent programming model. J Nutr Biochem 55, 124141.CrossRefGoogle Scholar
Serrano, A, Asnani-Kishnani, M, Couturier, C, et al. (2020) DNA methylation changes are associated with the programming of white adipose tissue browning features by resveratrol and nicotinamide riboside neonatal supplementations in mice. Nutrients 12, 461.CrossRefGoogle ScholarPubMed
Yuan, X, Tsujimoto, K, Hashimoto, K, et al. (2018) Epigenetic modulation of Fgf21 in the perinatal mouse liver ameliorates diet-induced obesity in adulthood. Nat Commun 9, 636.CrossRefGoogle ScholarPubMed
Lucion, AB & Bortolini, MC (2014) Mother–pup interactions: rodents and humans. Front Endocrinol 5, 17.CrossRefGoogle ScholarPubMed
Widdowson, EM & McCance, RA (1960) Some effects of accelerating growth. I. General somatic development. Proc Royal Soc London Series B Biol Sci 152, 188206.Google ScholarPubMed
Schreiner, F, Ackermann, M, Michalik, M, et al. (2017) Developmental programming of somatic growth, behavior and endocannabinoid metabolism by variation of early postnatal nutrition in a cross-fostering mouse model. PLoS One 12, e0182754.CrossRefGoogle Scholar
Rodrigues, VST, Moura, EG, Bernardino, DN, et al. (2018) Supplementation of suckling rats with cow’s milk induces hyperphagia and higher visceral adiposity in females at adulthood, but not in males. J Nutr Biochem 55, 89103.CrossRefGoogle Scholar
Lin, C, Shao, B, Zhou, Y, et al. (2016) Maternal high-fat diet influences stroke outcome in adult rat offspring. J Mol Endocrinol 56, 101112.CrossRefGoogle ScholarPubMed
Brower, M (2018) Overview of the reproduction of laboratory mice and rats. In Encyclopedia of Reproduction, 6, 711721 [Skinner, MK, editor]. Oxford: Academic Press. https://doi.org/10.1016/B978-0-12-809633-8.20619-5 CrossRefGoogle Scholar
Boersma, GJ, Bale, TL, Casanello, P, et al. (2014) Long-term impact of early life events on physiology and behaviour. J Neuroendocrinol 26, 587602.CrossRefGoogle ScholarPubMed
Ribeiro, TA, Tófolo, LP, Martins, IP, et al. (2017) Maternal low intensity physical exercise prevents obesity in offspring rats exposed to early overnutrition. Sci Rep 7, 7634.CrossRefGoogle ScholarPubMed
Agnish, ND & Keller, KA (1997) The rationale for culling of rodent litters. Fundam Appl Toxicol 38, 26.CrossRefGoogle ScholarPubMed
Briffa, JF, O’Dowd, R, Romano, T, et al. (2019) Reducing pup litter size alters early postnatal calcium homeostasis and programs adverse adult cardiovascular and bone health in male rats. Nutrients 11, 118.CrossRefGoogle ScholarPubMed
Jennings, BJ, Ozanne, SE, Dorling, MW, et al. (1999) Early growth determines longevity in male rats and may be related to telomere shortening in the kidney. FEBS Lett 448, 48.CrossRefGoogle ScholarPubMed
Ridout, KK, Ridout, SJ, Goonan, K, et al. (2017) Telomeres and early life stress. In Stress: Neuroendocrinology and Neurobiology, pp. 185193 [Fink, G, editor]. San Diego: Academic Press.CrossRefGoogle Scholar
Gandelman, R & Simon, NG (1978) Spontaneous pup-killing by mice in response to large litters. Dev Psychobiol 11, 235241.CrossRefGoogle ScholarPubMed
Grota, LJ & Ader, R (1969) Continuous recording of maternal behaviour in Rattus Norvegicus. Animal Behav 17, 722729.CrossRefGoogle Scholar
Patel, MS & Srinivasan, M (2011) Metabolic programming in the immediate postnatal life. Ann Nutr Metab 58, 1828.CrossRefGoogle ScholarPubMed
Ehrampoush, E, Homayounfar, R, Davoodi, SH, et al. (2016) Ability of dairy fat in inducing metabolic syndrome in rats. Springer Plus 5, 18.CrossRefGoogle ScholarPubMed
Suvorov, A & Vandenberg, LN (2016) To cull or not to cull? Considerations for studies of endocrine-disrupting chemicals. Endocrinology 157, 25862594.CrossRefGoogle ScholarPubMed
Gregorio, BM, Souza-Mello, V, Carvalho, JJ, et al. (2010) Maternal high-fat intake predisposes nonalcoholic fatty liver disease in C57BL/6 offspring. Am J Obstet Gynecol 203, 495498.CrossRefGoogle ScholarPubMed
Mathias, PCF, Miranda, GDS, Barella, LF, et al. (2020) Cholinergic-pathway-weakness-associated pancreatic islet dysfunction: a low-protein-diet imprint effect on weaned rat offspring. J Dev Orig Helath and Dis 11, 18. https://www.doi.org/10.1017/S2040174420000215 Google ScholarPubMed
Martin Agnoux, A, Antignac, JP, Boquien, CY, et al. (2015) Perinatal protein restriction affects milk free amino acid and fatty acid profile in lactating rats: potential role on pup growth and metabolic status. J Nutr Biochem 26, 784795.CrossRefGoogle ScholarPubMed
Ma, D, Ozanne, SE & Guest, PC (2017) A protocol for producing the maternal low-protein rat model: a tool for preclinical proteomic studies. Adv Exp Med Biol 974, 251255.CrossRefGoogle ScholarPubMed
Otani, L, Mori, T, Koyama, A, et al. (2016) Supplemental arginine above the requirement during suckling causes obesity and insulin resistance in rats. Nutr Res 36, 575585.CrossRefGoogle ScholarPubMed
Richard, C, Lewis, ED, Goruk, S, et al. (2016) The content of docosahexaenoic acid in the suckling and the weaning diet beneficially modulates the ability of immune cells to response to stimuli. J Nutr Biochem 35, 2229.CrossRefGoogle ScholarPubMed
Sevrin, T, Alexandre-Gouabau, MC, Darmaun, D, et al. (2017) Use of water turnover method to measure mother’s milk flow in a rat model: application to dams receiving a low protein diet during gestation and lactation. PLoS One 12, e0180550.CrossRefGoogle Scholar
Kaczmarek, MM, Mendoza, T & Kozak, LP (2016) Lactation undernutrition leads to multigenerational molecular programming of hypothalamic gene networks controlling reproduction. BMC Genom 17, 333.CrossRefGoogle ScholarPubMed
Rincel, M, Lépinay, AL, Delage, P, et al. (2016) Maternal high-fat diet prevents developmental programming by early-life stress. Transl Psychiatr 6, e966.CrossRefGoogle ScholarPubMed
Muhammad, N, Lembede, BW & Erlwanger, KH (2021) Zingerone administered neonatally prevents the subsequent development of high dietary fructose-induced fatty liver in sprague dawley rats. J Med Food 24, 944952.CrossRefGoogle ScholarPubMed
Nyakudya, TT, Isaiah, S, Ayeleso, A, et al. (2019) Short-term neonatal oral administration of oleanolic acid protects against fructose-induced oxidative stress in the skeletal muscles of suckling rats. Molecules 24, 661.CrossRefGoogle ScholarPubMed
Neal-Kluever, A, Fisher, J, Grylack, L, et al. (2019) Physiology of the neonatal gastrointestinal system relevant to the disposition of orally administered medications. Drug Metab Dispos 47, 296313.CrossRefGoogle Scholar
Arreguín, A, Ribot, J, Mušinović, H, et al. (2018) Dietary vitamin A impacts DNA methylation patterns of adipogenesis-related genes in suckling rats. Arch Biochem Biophys 650, 7584.CrossRefGoogle ScholarPubMed
Gugusheff, JR, Bae, SE, Rao, A, et al. (2016) Sex and age-dependent effects of a maternal junk food diet on the mu-opioid receptor in rat offspring. Behav Brain Res 301, 124131.CrossRefGoogle ScholarPubMed
Kanno, T, Koyanagi, N, Katoku, Y, et al. (1997) Simplified preparation of a refined milk formula comparable to rat’s milk: influence of the formula on development of the gut and brain in artificially reared rat pups. J Pediatr Gastroenterol Nutr 24, 242252.CrossRefGoogle ScholarPubMed
Auestad, N, Korsak, RA, Bergstrom, JD, et al. (1989) Milk-substitutes comparable to rat’s milk; their preparation, composition and impact on development and metabolism in the artificially reared rat. Br J Nutr 61, 495518.CrossRefGoogle ScholarPubMed
Patel, MS, Vadlamudi, S & Johanning, GL (1994) Artificial rearing of rat pups: implications for nutrition research. Annu Rev Nutr 14, 2140.CrossRefGoogle ScholarPubMed
Yajima, M, Kanno, T & Yajima, T (2006) A chemically derived milk substitute that is compatible with mouse milk for artificial rearing of mouse pups. Exp Anim 55, 391397.CrossRefGoogle ScholarPubMed
Motoki, T, Naomoto, Y, Hoshiba, J, et al. (2011) Glutamine depletion induces murine neonatal melena with increased apoptosis of the intestinal epithelium. World J Gastroenterol 17, 717726.CrossRefGoogle ScholarPubMed
Patel, MS & Hiremagalur, BK (1992) Artificial-rearing technique: its usefulness in nutrition research. J Nutr 122, 412419.CrossRefGoogle ScholarPubMed
Takeda, S, Harauma, A, Okamoto, M, et al. (2020) Effects of whey protein hydrolysate on growth promotion and immunomodulation in mouse pups in artificial rearing system. Anim Sci J = Nihon Chikusan Gakkaiho 91, e13395.Google ScholarPubMed
Haney, PM, Estrin, CR, Caliendo, A, et al. (1986) Precocious induction of hepatic glucokinase and malic enzyme in artificially reared rat pups fed a high-carbohydrate diet. Arch Biochem Biophys 244, 787794.CrossRefGoogle ScholarPubMed
Aalinkeel, R, Srinivasan, M, Kalhan, SC, et al. (1999) A dietary intervention (high carbohydrate) during the neonatal period causes islet dysfunction in rats. Am J Physiol 277, E1061E1069.Google ScholarPubMed
Hussein, N, Fedorova, I, Moriguchi, T, et al. (2009) Artificial rearing of infant mice leads to n-3 fatty acid deficiency in cardiac, neural and peripheral tissues. Lipids 44, 685702.CrossRefGoogle ScholarPubMed
Vadlamudi, S, Hiremagalur, BK, Tao, L, et al. (1993) Long-term effects on pancreatic function of feeding a HC formula to rats during the preweaning period. Am J Physiol 265, E565E571.Google ScholarPubMed
Petrik, J, Srinivasan, M, Aalinkeel, R, et al. (2001) A long-term high-carbohydrate diet causes an altered ontogeny of pancreatic islets of Langerhans in the neonatal rat. Pediatr Res 49, 8492.CrossRefGoogle ScholarPubMed
Srinivasan, M, Dodds, C, Ghanim, H, et al. (2008) Maternal obesity and fetal programming: effects of a high-carbohydrate nutritional modification in the immediate postnatal life of female rats. Am J Physiol Endocrinol Metab 295, E895E903.CrossRefGoogle ScholarPubMed
Duke Boynton, F, Dunbar, M & Koewler, N (2020) General Experimental Techniques. London: Academic Press. https://doi.org/10.1016/B978-0-12-814338-4.00019-2 CrossRefGoogle Scholar
Halpern, MD, Khailova, L, Molla-Hosseini, D, et al. (2008) Decreased development of necrotizing enterocolitis in IL-18-deficient mice. Am J Physiol-Gastrointest Liver Physiol 294, G20G26.CrossRefGoogle ScholarPubMed
Raineki, C, Lucion, AB & Weinberg, J (2014) Neonatal handling: an overview of the positive and negative effects. Dev psychobiology 56, 16131625.CrossRefGoogle ScholarPubMed
Novaes Soares, P, Silva Tavares Rodrigues, V, Cherem Peixoto, T, et al. (2018) Cigarette smoke during breastfeeding in rats changes glucocorticoid and vitamin d status in obese adult offspring. Int J Mol Sci 19, 3084.CrossRefGoogle ScholarPubMed
Matthews, PA, Samuelsson, AM, Seed, P, et al. (2011) Fostering in mice induces cardiovascular and metabolic dysfunction in adulthood. J Physiol 589, 39693981.CrossRefGoogle ScholarPubMed
Romano, T, Wark, JD, Owens, JA, et al. (2009) Prenatal growth restriction and postnatal growth restriction followed by accelerated growth independently program reduced bone growth and strength. Bone 45, 132141.CrossRefGoogle ScholarPubMed
Fahrenkrog, S, Harder, T, Stolaczyk, E, et al. (2004) Cross-fostering to diabetic rat dams affects early development of mediobasal hypothalamic nuclei regulating food intake, body weight, and metabolism. J Nutr 134, 648654.CrossRefGoogle ScholarPubMed
Morel, FB, Oozeer, R, Piloquet, H, et al. (2015) Preweaning modulation of intestinal microbiota by oligosaccharides or amoxicillin can contribute to programming of adult microbiota in rats. Nutrition 31, 515522.CrossRefGoogle ScholarPubMed
Huot, RL, Gonzalez, ME, Ladd, CO, et al. (2004) Foster litters prevent hypothalamic-pituitary-adrenal axis sensitization mediated by neonatal maternal separation. Psychoneuroendocrinology 29, 279289.CrossRefGoogle ScholarPubMed
Agca, Y (2020) Assisted reproductive technologies and genetic modifications in rats. In The Laboratory Rat, pp. 181213 [Suckow, MA, Hankenson, FC, Wilson, RP, et al., editors]. London: Academic Press. https://doi.org/10.1016/B978-0-12-814338-4.00007-6 CrossRefGoogle Scholar
Hedrich, HJ (2006) Taxonomy and stocks and strains. In The Laboratory Rat, pp. 7192 [Suckow, MA, editor]. Amsterdam, Netherlands: Elsevier Inc. https://doi.org/10.1016/B978-012074903-4/50006-6 CrossRefGoogle Scholar
Reifsnyder, PC, Churchill, G & Leiter, EH (2000) Maternal environment and genotype interact to establish diabesity in mice. Genome Res 10, 15681578.CrossRefGoogle ScholarPubMed
Mansour, S, Thomas, K & Capecchi, M (1988) Disruption of the proto-oncogene int-2 in mouse embryo-derived stem cells: a general strategy for targeting mutations to non-selectable genes. Nature 336, 348352.CrossRefGoogle ScholarPubMed
Geurts, AM, Cost, GJ, Freyvert, Y, et al. (2009) Knockout rats via embryo microinjection of zinc-finger nucleases. Science 325, 433433.CrossRefGoogle ScholarPubMed
Cowley, M, Garfield, AS, Madon-Simon, M, et al. (2014) Developmental programming mediated by complementary roles of imprinted Grb10 in mother and pup. PLoS Biol 12, e1001799.CrossRefGoogle ScholarPubMed
Daviau, J (1999) Clinical evaluation of rodents. Vet Clinics North Am 2, 429445.Google ScholarPubMed
Lohmiller, JJ, Swing, SP & Hanson, MM (2020) Chapter 6 – reproduction and breeding. In The Laboratory Rat, pp. 157179 [Suckow, MA, Hankenson, FC, Wilson, RP, editors]. London: Academic Press. https://doi.org/10.1016/B978-0-12-814338-4.00006-4 CrossRefGoogle Scholar
Vidal, JD (2017) The impact of age on the female reproductive system. Toxicol Pathol 45, 206215.CrossRefGoogle ScholarPubMed
Bermejo-Alvarez, P, Rizos, D, Lonergan, P, et al. (2011) Transcriptional sexual dimorphism during preimplantation embryo development and its consequences for developmental competence and adult health and disease. Reproduction 141, 563570.CrossRefGoogle ScholarPubMed
Richard, C, Lewis, ED, Goruk, S, et al. (2016) A dietary supply of docosahexaenoic acid early in life is essential for immune development and the establishment of oral tolerance in female rat offspring. J Nutr 146, 23982406.CrossRefGoogle ScholarPubMed
Danneman, PJ & Mandrell, TD (1997) Evaluation of five agents/methods for anesthesia of neonatal rats. Lab Anim Sci 47, 386395.Google ScholarPubMed
Pritchett, K, Corrow, D, Stockwell, J, et al. (2005) Euthanasia of neonatal mice with carbon dioxide. Comp Med 55, 275281.Google ScholarPubMed
Pritchett-Corning, KR (2009) Euthanasia of neonatal rats with carbon dioxide. J Am Assoc for Lab Animal Sci 48, 2327.Google ScholarPubMed
Valentim, AM, Guedes, SR, Pereira, AM, et al. (2016) Euthanasia using gaseous agents in laboratory rodents. Lab Anim 50, 241253.CrossRefGoogle ScholarPubMed
Grazer, FM (1958) Technic for intravascular injection and bleeding of newborn rats and mice. Proc Soc Exp Biol Med 99, 407409.CrossRefGoogle ScholarPubMed
Srinivasan, M, Mahmood, S & Patel, MS (2013) Metabolic programming effects initiated in the suckling period predisposing for adult-onset obesity cannot be reversed by calorie restriction. Am J Physiol Endocrinol Metab 304, E486494.CrossRefGoogle ScholarPubMed
Martins, IP, de Oliveira, JC, Pavanello, A, et al. (2018) Protein-restriction diet during the suckling phase programs rat metabolism against obesity and insulin resistance exacerbation induced by a high-fat diet in adulthood. J Nutr Biochem 57, 153161.CrossRefGoogle ScholarPubMed
de Oliveira, JC, Scomparin, DX, Andreazzi, AE, et al. (2011) Metabolic imprinting by maternal protein malnourishment impairs vagal activity in adult rats. J Neuroendocrinol 23, 148157.CrossRefGoogle ScholarPubMed
Mukonowenzou, NC, Dangarembizi, R, Chivandi, E, et al. (2020) Administration of ursolic acid to new-born pups prevents dietary fructose-induced non-alcoholic fatty liver disease in Sprague Dawley rats. J Dev Orig Health Dis 12, 112. https://www.doi.org/10.1017/S2040174420000124 Google ScholarPubMed
Srinivasan, M, Song, F, Aalinkeel, R, et al. (2001) Molecular adaptations in islets from neonatal rats reared artificially on a high carbohydrate milk formula. J Nutr Biochem 12, 575584.CrossRefGoogle ScholarPubMed
Chen, Y, Wang, J, Yang, S, et al. (2017) Effect of high-fat diet on secreted milk transcriptome in midlactation mice. Physiol Genomics 49, 747762.CrossRefGoogle ScholarPubMed
Konieczna, J, Palou, M, Sánchez, J, et al. (2015) Leptin intake in suckling rats restores altered T3 levels and markers of adipose tissue sympathetic drive and function caused by gestational calorie restriction. Int J Obes 39, 959966.CrossRefGoogle ScholarPubMed
Whary, M, Baumgarth, N, Fox, J, et al. (2015) Biology and diseases of mice. In Laboratory Animal Medicine, pp. 43149 [Fox, J, Anderson, L, Otto, G, et al., editors]. Amsterdam, Netherlands: Elsevier Inc. https://doi.org/10.1016/B978-0-12-409527-4.00003-1 CrossRefGoogle Scholar
Figure 0

Table 1. Summary of some publications using the altered litter size model for neonatal programming

Figure 1

Table 2. Summary of some publications using the model of altered lactational condition of the dam for neonatal programming

Figure 2

Table 3. Summary of some publications using the model of altered lactational condition of the pup for neonatal programming

Figure 3

Table 4. Summary of some publications using cross-foster or genetic models for neonatal programming

Figure 4

Table 5. Summary of some publications using combined models for neonatal programming

Figure 5

Fig. 1. An illustration of the litter size model useful for metabolic programming at early postnatal life. Adjustments in litter size (a) small or (b) large; determine milk availability and trigger the development of metabolic phenotypes with age. Using this model, several behaviours and phenotypes have been studied (trace boxes). CR, energetic restriction; eCB, endocannabinoid; GLUT4, glucose transporter 4; IRS, insulin receptor substrate.

Figure 6

Fig. 2. An illustration of the model of altered lactational condition of the dam. Development of the offspring metabolic health following lactation is influenced by maternal exposure and health during lactation via notable changes in milk content (untraced boxes). Using this model, several behaviours and metabolic phenotypes have been studied (traced box). ALA, α-linolenic acid; DHA, docosahexaenoic acid; FA, fatty acid; HFD, high-fat diet; NAFLD, non-alcoholic fatty liver disease; PND, postnatal day; SCD1, stearoyl-CoA desaturase-1; SREBP-1C, sterol regulatory element-binding protein-1c.

Figure 7

Fig. 3. Illustration of the pup-in-a-cup model used for breeding artificially reared (AR) pups. The pups in warm moist incubators (floating Styrofoam cups insulate the pups from direct contact with heat source, i.e. water bath) water at 40°C from 2 to 13 postnatal day (PND) to keep pup axillary temp at 32–36°C. The intragastric cannula (PE leads) emerge from the lids of the cups (not shown) and pass across to syringe mounted infusion pumps(68). PE, polyethylene.

Figure 8

Fig. 4. Oral supplementation/intermittent feeding of maternally reared (MR) pups. Using this model of altered lactational condition of the pup, several behaviours and phenotypes have been studied (traced box). Fgf21 = fibroblast growth factor-21; NAFLD, non-alcoholic fatty liver disease; OA, oleanolic acid; OS, oligosaccharide; PPAR-α, peroxisome proliferator activated protein -alpha; WAT, white adipose tissue.

Figure 9

Fig. 5. A cross-foster of litter from a healthy dam to an obese dam. Using the cross-foster model some behaviour and phenotypes have been studied (traced box). Alterations in milk composition influences the offspring metabolic phenotype via epigenetics.

Figure 10

Table 6. Some physiological parameters to be noted for neonatal programming(11,38,153)

Figure 11

Fig. 6. Showing the anogenital distance of 7 d old Swiss mice (littermates). ♀, anogenital distance of a female pup ≈ 2·5 cm. ♂, anogenital distance of a male pup ≈ 4 cm.