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Effects of obesity and weight loss on mitochondrial structure and function and implications for colorectal cancer risk

Published online by Cambridge University Press:  22 March 2019

S. P. Breininger*
Affiliation:
Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Wellcome Trust Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Newcastle University LLHW Centre for Ageing and Vitality, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
F. C. Malcomson
Affiliation:
Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Newcastle University LLHW Centre for Ageing and Vitality, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
S. Afshar
Affiliation:
Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK North Cumbria University Hospital NHS Trust, Cumberland Infirmary, Newtown Road, Carlisle CA2 7HY, UK
D. M. Turnbull
Affiliation:
Wellcome Trust Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Newcastle University LLHW Centre for Ageing and Vitality, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
L. Greaves
Affiliation:
Wellcome Trust Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Newcastle University LLHW Centre for Ageing and Vitality, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
J. C. Mathers
Affiliation:
Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Wellcome Trust Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Newcastle University LLHW Centre for Ageing and Vitality, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
*
*Corresponding author: S. P. Breininger, email s.p.breininger@ncl.ac.uk
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Abstract

Colorectal cancer (CRC) is the third most common cancer globally. CRC risk is increased by obesity, and by its lifestyle determinants notably physical inactivity and poor nutrition. Obesity results in increased inflammation and oxidative stress which cause genomic damage and contribute to mitochondrial dysregulation and CRC risk. The mitochondrial dysfunction associated with obesity includes abnormal mitochondrial size, morphology and reduced autophagy, mitochondrial biogenesis and expression of key mitochondrial regulators. Although there is strong evidence that increased adiposity increases CRC risk, evidence for the effects of intentional weight loss on CRC risk is much more limited. In model systems, energy depletion leads to enhanced mitochondrial integrity, capacity, function and biogenesis but the effects of obesity and weight loss on mitochondria in the human colon are not known. We are using weight loss following bariatric surgery to investigate the effects of altered adiposity on mitochondrial structure and function in human colonocytes. In summary, there is strong and consistent evidence in model systems and more limited evidence in human subjects that over-feeding and/or obesity result in mitochondrial dysfunction and that weight loss might mitigate or reverse some of these effects.

Type
Conference on ‘Getting energy balance right’
Copyright
Copyright © The Authors 2019 

Colorectal cancer prevalence

Colorectal cancer (CRC) is the third most common cancer worldwide with approximately 1·4 million cases diagnosed in 2012(Reference Ferlay, Soerjomataram and Dikshit1). It is predicted that, by 2030, CRC will rise by 60 % and that there will be over 2·2 million new cases(Reference Arnold, Sierra and Laversanne2). A qualitative analysis of fifty-six observational studies among 7 213 335 individuals and 93 812 CRC cancer cases demonstrated that increased BMI was linked with higher CRC risk(Reference Ning, Wang and Giovannucci3). Ning(Reference Ning, Wang and Giovannucci3) and colleagues also showed that each 5 kg/m2 unit rise in BMI increased CRC risk by 18 %. This association with BMI was stronger for colon than for rectal cancer and for males than for females(Reference Ning, Wang and Giovannucci3). Additionally, obesity is a major risk factor for colorectal adenomas(Reference Omata, Deshpande and Ohde4), suggesting that higher adiposity is a key player at the early stages of colorectal tumorigenesis(Reference Mathers5). Ma(Reference Ma, Yang and Wang6) and Keum(Reference Keum, Lee and Kim7) confirmed a linear dose-dependent relationship between abdominal/visceral adiposity and risk of colorectal adenomas suggesting that excess body fatness in and around the visceral organs may explain the positive association observed between increased BMI, increased waist and hip circumference and risk of colorectal adenomas and CRC.

Biology of colorectal cancer development

Most CRC develops sporadically and only 15–30 % are due to inherited causes(Reference Mundade, Imperiale and Prabhu8). CRC result from unrepaired genomic damage to stem cells and their progeny located in the crypts of the colorectal mucosa. Both epigenetic modifications and gene mutations contribute to CRC development by activating oncogenic pathways and by inactivating tumour suppressor genes(Reference Fearon9). This genomic damage includes chromosomal defects, mutations in the nuclear and mitochondrial DNA and epigenetic abnormalities that lead to aberrant gene expression and uncontrolled growth of colonocytes. Through a Darwinian process, damage which provides the nascent tumour cell with a competitive advantage results in the development of cell clones with excessive proliferation and, therefore, neoplastic potential and leads to monocryptal adenomas or aberrant crypt foci. Crypt fission may expand such lesions resulting in the development of non-malignant growths known as adenomatous polyps(Reference Humphries and Wright10). With further genetic and epigenetic changes causing hyperplasia, some adenoma develops into malignant adenocarcinoma and some, eventually, metastasise(Reference Mundade, Imperiale and Prabhu8). Inactivating mutations in the tumour suppressor gene APC occur early in almost all CRC. Loss of adenomatous polyposis coli function results in aberrant expression of the WNT signalling pathway which contributes to increased cell proliferation and polyp development(Reference Lao and Grady11). In addition, mutations in KRAS or BRAF occur in 55–60 % of CRC and the proto-oncogene, KRAS signals through BRAF to activate the mitogen-activated protein kinase pathway(Reference Lao and Grady11). Further mutations in KRAS or TP53, or in genes regulating key pathways such as the transforming growth factor-β (TGF-β1) signalling pathway, mediate the transformation from polyps to cancer(Reference Vogelstein, Fearon and Hamilton12Reference Hanahan and Weinberg14). Approximately 30 % of CRC have mutations in the gene encoding the type 2 receptor for TGF-β (TGFBR2)(Reference Grady, Rajput and Myeroff15, Reference Bellam and Pasche16). Furthermore, other mutated TGF-β signalling pathway members including TSP1, RUNX3, SMAD2 and SMAD4 have been identified in CRC(Reference Bellam and Pasche16Reference Wood, Parsons and Jones20). Overall, the most frequently mutated genes in signalling pathways are found in the RAS-RAF-mitogen-activated protein kinase, WNT-APC-CTNNB1, PI3 K and TGFβ1-SMAD pathways(Reference Grady and Carethers21, Reference Colussi, Brandi and Bazzoli22).

Risk factors for colorectal cancer and role of obesity

CRC risk increases with age and is modified by lifestyle factors including physical activity, diet, smoking and obesity which influence the acquisition and repair of genomic damage(23, 24). Obesity, inflammation and CRC risk are inter-linked closely(Reference Mathers5). In obesity, a range of pro-inflammatory cytokines and signalling molecules are secreted resulting in systemic low-level inflammation and increased reactive oxygen species (ROS), that accelerate genomic damage(Reference Edwards, Witherspoon and Wang25, Reference Kiraly, Gong and Olipitz26). With increasing adiposity, leptin concentrations increase(Reference Tuo, Christopher and Stephen27). This leads to higher TNF-α, IL-6 and IL-12 production and the accumulation of pro-inflammatory macrophages(Reference Tuo, Christopher and Stephen27). Wei and colleagues(Reference Wei, Ma and Pollak28) reported elevated plasma C-reactive protein, TNF-α and IL-6 concentrations in obese individuals, linked with impaired glucose tolerance, insulin resistance, abnormally high concentrations of insulin and insulin-like growth factor 1, and low concentrations of insulin-like growth factor binding proteins, all of which may increase CRC risk. More studies reported that plasma C-reactive protein concentrations are correlated positively with CRC risk(Reference Gunter, Stolzenberg-Solomon and Cross29Reference Erlinger, Platz and Rifai31). Faecal calprotectin concentration (a marker of mucosal inflammation) is positively correlated with obesity and inversely correlated with fibre, fruit and vegetable consumption(Reference Poullis, Foster and Shetty32). This obesity-derived inflammation initiates a mucosal signalling cascade which involves activation of the transcription factor NF-κB and higher expression of both inducible nitric oxide synthase and cyclooxygenase-2 (COX-2)(Reference John, Irukulla and Abulafi33). This altered signalling may play a key role in the suppression of apoptosis, which is a key feature of tumorigenesis(Reference Karin, Cao and Greten34).

Effects of weight loss on colorectal cancer risk and on biomarkers of colorectal cancer risk following lifestyle-based interventions

A systematic review and meta-analysis investigating the effects of weight change on CRC risk in thirteen studies, found that weight gain was associated with increased CRC risk but that there was no association with weight loss(Reference Karahalios, English and Simpson35). However, weight loss resulting from lifestyle-based interventions affects biomarkers of CRC risk including expression of inflammatory markers and cell proliferation. In the INTERCEPT Study, 14 % weight loss via an 8-week low-energy liquid diet, in twenty obese adults resulted in reduced Ki-67 expression (a marker of cell proliferation) in the colorectal mucosa and improvements in insulin sensitivity; higher insulin resistance is a potential mechanism underlying the effects of obesity on CRC risk(Reference Beeken, Croker and Heinrich36). Nicklas and colleagues(Reference Nicklas, Ambrosius and Messier37) reported that weight loss after a low-energy diet reduced plasma concentrations of pro-inflammatory markers including C-reactive protein, TNF-α and IL-6 in obese older people (60+ years). Similarly, a low-energy diet in obese middle-aged women resulted in decreased expression of IL-6 and TNF-α in plasma and in subcutaneous adipose tissue(Reference Lakhdar, Denguezli and Zaouali38). Although changes in inflammatory markers in plasma and adipose tissue may reflect changes in other tissues, measurements made in colorectal tissue per se are more directly relevant. Weight loss (mean 10·1 % of initial body weight) resulting from a very-low-energy diet decreased expression of inflammatory markers including TNF-α, IL-1β, IL-8, monocyte chemotactic protein 1 and of the proto-oncogenes JUN and FOS in the colorectal mucosa of obese pre-menopausal women(Reference Pendyala, Neff and Suárez-Fariñas39). In addition, working with participants in a community-based weight loss programme (Slimming World), Kant and colleagues(Reference Kant, Fazakerley and Hull40) observed lower concentrations of faecal calprotectin (a marker of intestinal inflammation which is increased in colorectal disorders including CRC) only in those participants with a high faecal calprotectin concentration (>50 µg/g) at baseline. Although weight loss in the studies discussed earlier was relatively modest (typically 5–10 %), this was sufficient to lower both systemic and tissue-specific markers of inflammation.

Effects of weight loss following bariatric surgery on colorectal cancer

A systematic review and meta-analysis of studies reporting on 24 321 bariatric surgery patients and 80 866 obese controls found that weight loss induced by bariatric surgery was associated with 27 % reduced CRC risk(Reference Afshar, Kelly and Seymour41). In an English cohort study involving more than 1 million obese participants, bariatric surgery did not alter CRC risk but, in this study, the number of participants who underwent bariatric surgery and the number of CRC cases were small (3·9 % of participants underwent bariatric surgery and only 0·1 % of the surgery group developed CRC)(Reference Aravani, Downing and Thomas42). Similarly, investigations of effects of surgically-induced weight loss on biomarkers of CRC risk have yielded conflicting results. In our recent study, at 6 months post-bariatric surgery (mean 29 kg weight loss), markers of systemic and colorectal mucosal inflammation were reduced, glucose homeostasis was improved and crypt cell proliferation was reduced(Reference Afshar, Malcomson and Kelly43). In contrast, an earlier study found that after bariatric surgery which lowered BMI by 12·6 units, there was increased expression of the pro-inflammatory genes COX-1 and COX-2, decreased apoptosis and increased mitosis in the mucosal crypts(Reference Sainsbury, Goodlad and Perry44). In addition, this increased crypt cell proliferation and greater expression of pro-tumourigenic cytokines persisted until at least 3 years post-surgery in these obese patients who underwent Roux-en-Y gastric bypass (RYGB) one of the most common types of bariatric surgery(Reference Kant, Sainsbury and Reed45). Differential effects of weight loss following bariatric surgery on CRC-related biomarkers may be due to subtle differences in the nature of the surgical procedures used(Reference Mathers5, Reference Afshar, Malcomson and Kelly43). For example, we hypothesised that the apparently detrimental effects of the specific type of bariatric surgery reported by the Leeds group(Reference Sainsbury, Goodlad and Perry44, Reference Kant, Sainsbury and Reed45), may be due to greater small bowel malabsorption and, consequently, exposure of the large bowel mucosa to luminal agents such as secondary bile acids that can damage the colorectal mucosa and are associated with increased CRC risk(Reference Afshar, Malcomson and Kelly43). The most likely reason for lack of evidence for effects of weight loss on CRC risk is the short duration of most relevant studies. In addition, such weight loss studies tend to have a relatively low sample size, the amount of weight loss is modest and weight loss is not usually sustained in the long term. The most convincing evidence is likely to come from long-term follow-up of those who have undergone bariatric surgery because this produces substantial and sustained weight loss.

Mitochondrial structure and function

Mitochondria are eukaryotic organelles residing in the cytosol that are involved in numerous metabolic pathways including intracellular calcium signalling, iron-sulphur cluster biogenesis, apoptosis and maintenance of membrane potential and with their primary function being ATP production via oxidative phosphorylation(Reference Fernandez-Silva, Enriquez and Montoya46, Reference Stewart and Chinnery47).

Every mitochondrion contains multiple copies of a double-stranded closed-circular mitochondrial DNA genome (mtDNA) which are present within the mitochondrial matrix and which are maternally inherited(Reference Case and Wallace48). The mtDNA consists of 16 569 Bp forming an inner light (L; cytosine rich) and an outer heavy (H; guanine-rich) strand encoding a total of thirty-seven genes(Reference Case and Wallace48) which include twenty-two tRNA, thirteen proteins of the respiratory chain and two rRNA specific to the mitochondria which are required for mtDNA gene translation(Reference Carling, Cree and Chinnery49). The mtDNA is wrapped together with proteins into mitochondrial nucleoids and every nucleoid comprises one or two mtDNA molecules(Reference Case and Wallace48). This packaging of mtDNA into DNA-protein assemblies (nucleoids) provides an efficient means of ensuring that the mitochondrial genetic material is distributed throughout the mitochondrion and for coordinating mtDNA involvement in cellular metabolism(Reference Gilkerson, Bravo and Garcia50). There are five mitochondrial respiratory chain complexes(Reference Sousa, D'Imprima and Vonck51) and, in human subjects, mtDNA encodes the following structural subunits of the mitochondrial respiratory chain: NADH dehydrogenase 1 (MTND1)–MTND6 and MTND4L (complex I), cytochrome b (MTCYB) (complex III), cytochrome c oxidase I (MTCO1) – MTCO3 (complex IV), ATP synthase 6 (MTATP6) and MTATP8 (complex V)(Reference Anderson, Bankier and Barrell52). The mitochondrial genome also harbours the non-coding D-loop, which contains the promoters for H and L strand transcription(Reference Shadel and Clayton53). The majority of mitochondrial polypeptides required for the structure and function of the mitochondria are transcribed from nuclear genes and translated in the cytosol prior to their transport across the mitochondrial membrane(Reference Larsson and Clayton54). Hence, mitochondrial function depends on both of these genetic systems(Reference Larsson and Clayton54).

Energy metabolism in the mitochondrion and links with mitochondrial DNA damage

Since each cell contains multiple mtDNA copies, mutations can affect either all mtDNA molecules (homoplasmy) or only a proportion (heteroplasmy) of the mtDNA in a given cell(Reference Larsson and Clayton54). The level of heteroplasmy can vary from 1 % to 99 % between cells in the same organ or tissue, across various organs and tissues in the same individual and between people in the same family(Reference Johns55). Mitochondrial DNA mutations include single, large-scale deletions (these are rarely inherited and never homoplasmic), point mutations (these are usually maternally inherited) and acquired somatic mutations and are predominantly due to replication errors and ageing(Reference Gorman, Chinnery and DiMauro56). However it has also been shown that they can be generated because of environmental exposures such as bacteria and viruses(Reference Machado, Figueiredo and Seruca57) ultraviolet light(Reference Birch-Machin and Swalwell58) and tobacco(Reference Prior, Griffiths and Baxter59, Reference Tan, Goerlitz and Dumitrescu60, Reference Stewart and Chinnery47). A homoplasmic pathogenic mtDNA point mutation usually results in a relatively mild biochemical defect often affecting only one tissue or organ although exceptions have been reported(Reference Gorman, Chinnery and DiMauro56). In contrast, a heteroplasmic mutation may affect multiple organs and the level of heteroplasmy correlates with the extent of organ involvement and degree of severity of the clinical phenotype (with the biochemical defect usually being severe in affected tissues)(Reference Gorman, Chinnery and DiMauro56). The proportion of heteroplasmic mtDNA mutations has to surpass a critical threshold level, typically 60–80 %, before the biochemical defect can be detected(Reference King and Attardi61, Reference Boulet, Karpati and Shoubridge62).

Glycolysis and β-oxidation of fatty acids each take place within the cytoplasm but most of the generation of ATP from catabolism of dietary carbohydrates and fats takes place when the common intermediate acetyl CoA enters the mitochondrion and undergoes the citric acid cycle and oxidative phosphorylation. ROS are produced as a by-product of reactions involving the electron transport chain, with complex I and complex III being the major sites of ROS production(Reference Chen, Vazquez and Moghaddas63, Reference Gao, Zhu and Zhao64). ROS react with all the macromolecules in the cell including lipids, proteins and nucleic acids and these reactions can lead to reversible or irreversible oxidative modifications of these macromolecules and, subsequently, to cell and organ dysfunction(Reference Gao, Zhu and Zhao64). In addition, ROS production as a result of other dietary and environmental exposures (e.g. alcohol and tobacco use) can cause the development of mtDNA adducts as well as adducts in the nuclear genome via covalent binding of polycyclic aromatic compounds to the DNA. Since DNA repair mechanisms are much less effective in the mitochondrion than in the nuclear genome(Reference Zinovkina65), ROS may have more adverse effects on the mitochondrial genome and may drive disease development(Reference King and Attardi61, Reference Allen and Coombs66, Reference Cakir, Yang and Knight67).

Mitochondria and colorectal cancer

During malignancy a shift to glycolysis from oxidative metabolism, known as the Warburg Effect, occurs(Reference Warburg68). A recent review argues that the functions of the Warburg Effect for malignancy and tumour cell proliferation remain unknown and evidence on the role of the Warburg Effect in cancer is equivocal(Reference Liberti and Locasale69). Mouse studies have shown mtDNA mutations in tumour and metastatic tissue. Eukaryotic cells containing the nucleus from one species and the cytoplasm from both the parental species are called cybrids(Reference Shidara, Yamagata and Kanamori70). Cybrids with or without a homoplasmic pathogenic point mutation at nucleotide position 8993 or 9176 in the MTATP6 gene were transplanted into mice(Reference Shidara, Yamagata and Kanamori70). Mutations in MTATP6 conferred an advantage during cancer development(Reference Shidara, Yamagata and Kanamori70). A later mouse study also using cybrid technology showed an acquired metastatic potential after mtDNA mutations in the gene encoding NADH were transferred(Reference Ishikawa, Takenaga and Akimoto71). Somatic mtDNA mutations occur frequently in human CRC and these may contribute to oncogenesis or metastatic spread(Reference Polyak, Li and Zhu72, Reference He, Wu and Dressman73). We observed that older people have higher frequencies of somatic mutations in the mitochondrial genome; however it is unknown whether this increased mitochondrial mutation load may contribute to the age-related CRC risk(Reference Greaves, Nooteboom and Elson74). When present at high levels, such mutations compromise mtDNA encoded respiratory chain subunits and cytochrome c oxidase activity which causes mitochondrial dysfunction and may be a biomarker of damage(Reference Greaves, Barron and Plusa75).

Effects of obesity on mitochondrial function

There is evidence from model systems as well as from direct experimentation in human subjects that obesity, or over-feeding, leads to mitochondrial dysfunction.

In vitro studies

A few studies have investigated the effects of overfeeding and/or obesity on mitochondrial structure and function in vitro. For example, treating differentiated 3T3-L1 adipocytes for 48 h with high glucose, high NEFA, or high glucose plus high NEFA resulted in abnormal mitochondrial size, morphology and biogenesis(Reference Gao, Zhu and Zhao64). These treatments led to the loss of mitochondrial membrane potential, reduced intra-mitochondrial calcium concentration, lower concentrations of mitofusion protein Mfn1 and increased mitofission protein Drp1(Reference Gao, Zhu and Zhao64). In addition, the high glucose and high glucose plus high NEFA treatments downregulated expression of NRF1, PGC-1α and mtTFA at the mRNA level and reduced PPARγ coactivator (PGC)-1β concentration, all of which are important factors in mitochondrial biogenesis(Reference Gao, Zhu and Zhao64). Such treatments attempt to mimic the causes (or consequences) of obesity and demonstrate reduced mitochondrial size, morphology and biogenesis.

Studies in animal models

To date, the effects of over-feeding and/or obesity on mitochondrial structure and function appear to have been little studied in non-mammalian animal models. However, feeding a high sucrose diet to Drosophila induced obesity and caused mitochondrial dysfunction in the ovary(Reference Brookheart, Swearingen and Collins76). This was observed as increased ovarian mtDNA copy number and reduced expression of key mitochondrial regulators including cytochrome c oxidase I, mtTFB1, Parkin and Drosophila homologs of PGC-1α and NRF-2α(Reference Brookheart, Swearingen and Collins76).

A high-fat diet (21 d) led to reduced expression of PGC-1α and PCG-1β mRNA, reduced PGC-1α and cytochrome c protein concentrations and downregulation of genes encoding oxidative phosphorylation proteins including complex I–IV in mouse muscle(Reference Sparks, Xie and Koza77). Later studies of high-fat feeding also observed mitochondrial dysfunction in skeletal muscle(Reference Stewart, Wang and Ribnicky78, Reference Devarshi, McNabney and Henagan79) and impaired expression of genes encoding for mitochondrial biogenesis in the rat liver(Reference Das, Mandala and Bhattacharjee80). Diet-induced obesity led to reduced mitochondrial mass and function, increased mitochondrial fission rates in rat liver and skeletal muscle, as well as decreased expression of the OPA1 gene and decreased Mfn2 expression which may contribute to mitochondrial dysfunction during obesity(Reference Putti, Sica and Migliaccio81). Significantly lower endogenous nitric oxide synthase (eNOS) mRNA and protein concentrations were found in white adipose tissue of obese mice, obese Zucker rats and high-fat diet-induced mice, and in brown adipose tissue of obese mice and obese zucker rats when compared with controls(Reference Valerio, Cardile and Cozzi82). This downregulation of eNOS was accompanied by lower mtDNA content, and reduced mitochondrial proteins involved in cell respiration including COX IV and cytochrome c, and regulators of mitochondrial biogenesis, including PGC-1α, nuclear respiratory factor-1 (NRF1) and mitochondrial transcription factor A (Tfam) in white and brown adipose tissue of obese rodents(Reference Valerio, Cardile and Cozzi82). TNF-α downregulates eNOS and it was suggested that this affects mitochondrial biogenesis(Reference Valerio, Cardile and Cozzi82). A high-fat diet also led to reduced complex IV, cytochrome c, HSP60, CORE I, PGC-1α and mtDNA copy number in adipose tissue mitochondria in male rats(Reference Sutherland, Capozzi and Turchinsky83). There is strong evidence that feeding a high-fat diet results in reduced mitochondrial function and biogenesis in multiple organs and tissues in rodents evidenced by reduced mtDNA content, PGC-1α concentrations, and expression of cell respiration proteins namely cytochrome c and complex IV.

Obesity causes metabolic disturbances such as insulin resistance and subcellular low-grade inflammation and results in increased oxidative stress and mitochondrial dysfunction in mice suffering from cardiomyopathy(Reference Nishida and Otsu84, Reference Guo and Guo85). In a comparison of the expression of mitochondrial proteins in the liver, muscle and adipocytes of normal, obese and diabetic mice, only diabetic mice revealed low concentrations of ATP synthase α and β, complex II and complex III in adipocytes. Additionally, abnormal mitochondrial morphology, reduced mtDNA content, β-oxidation and respiration rates were seen in obese and diabetic mouse adipocytes suggesting an important mitochondrial dysfunction(Reference Choo, Kim and Kwon86). Skeletal muscle of obese mice showed impaired mitochondrial dynamic behaviour via increased fission (increased Fis1 and Drp1 protein concentrations) and reduced fusion (reduced Mfn1 and Mfn2 protein concentrations), reduced mitochondrial respiratory capacity and low ATP content(Reference Liu, Jin and Liqun87).

Effects of over-feeding and of obesity on mitochondrial structure and function in human subjects

In addition to evidence from in vitro and animal model studies, human studies have demonstrated mitochondrial defects in obesity or when feeding a high-fat diet. These studies are summarised in Table 1 and are discussed in more detail below.

Table 1. Effects of obesity on mitochondrial structure and function in human subjects

PGC, PPARγ coactivator; Tfam, mitochondrial transcription factor A; NRF, nuclear respiratory factor; ND, NADH:ubiquinone oxidoreductase core subunit 5; CYTB, cytochrome b; mtDNA, mitochondrial DNA.

Short-term (3-d) over-feeding with a high-fat diet in healthy men resulted in reduced expression of PGC-1α and PCG-1β mRNA, reduced PGC-1α and cytochrome c protein concentrations and downregulation of genes encoding oxidative phosphorylation proteins including complex I-IV in vastus lateralis and gastrocnemius muscle(Reference Sparks, Xie and Koza77). Given the short duration of the intervention, it is not possible to determine whether the observed effects on biomarkers of mitochondrial function are due to changes in adiposity, as distinct from changes in macronutrient intake. Other studies showed that excess nutrient intake may lead to reduced mitochondrial size and number and to reduced oxidative phosphorylation in ectopic brown adipose tissue(Reference Bournat and Brown93).

Obese individuals showed reduced expression of genes encoding oxidative phosphorylation proteins and reduced oxygen consumption, indicative of a reduction in mitochondrial function(Reference Bournat and Brown93). Yin and colleagues(Reference Yin, Lanza and Swain89) observed reduced mitochondrial oxidative activity in adipocytes of obese individuals, which may be due to overall adiposity instead of adipocyte hypertrophy. Another study revealed that subcutaneous adipose tissue of obese twins had lower mtDNA content, that ninety-six out of 130 CpG sites of mitochondria-related transcripts and upstream regulators were hypermethylated and reduced mtDNA-encoded transcripts (12S rRNA, 16S rRNA, COX1, ND5, CYTB) and OXPHOS subunit proteins (complex III-V)(Reference Heinonen, Buzkova and Muniandy90). More recently, Kras(Reference Kras, Langlais and Hoffman92) found that obesity resulted in seventy-three and forty-one differentially expressed proteins in subsarcolemmal and intermyofibrillar mitochondria respectively in skeletal muscle of seventeen obese individuals. Kras(Reference Kras, Langlais and Hoffman92) observed that proteins making the TCA cycle and complex II were increased, whereas proteins forming ATP synthase and complex I and III were decreased in intermyofibrillar mitochondria of the obese. In obese compared with lean people, mitochondrial network, shape and number differed in adipose-derived stromal stem cells(Reference Ejarque, Ceperuelo-Mallafré and Serena91). In addition, TBX15 (a negative regulator of mitochondrial mass) was hypomethylated and TBX15 protein concentration was higher in cells from the obese individuals(Reference Ejarque, Ceperuelo-Mallafré and Serena91).

In summary, there is strong and consistent evidence that over-feeding and/or obesity result in mitochondrial dysfunction in model systems as well as in human subjects. Downregulated PGC-1α has been reported consistently in vitro, animal model and human studies. Reduced mitochondrial content and reduced expression of complex IV and cytochrome c are prominent in animal and human studies, whereas effects on other outcomes such as mitochondrial protein and enzyme concentrations, and on β-oxidation are less consistent.

The potential mechanisms underlying the effects of obesity on mitochondrial dysfunction

Evidence for potential mechanisms underlying the effects of obesity on mitochondrial dysfunction comes largely from in vitro and animal studies with much more limited data from human studies. In addition, this mechanistic work has been undertaken in several different cell types and tissues, with relatively little research undertaken in colonocytes.

A recent review summarised evidence showing that obesity leads to reduced β-oxidation and to mitochondrial dysfunction through excess ROS, oxidative stress and an obesity-induced inflammatory response in tissues such as muscle, liver and adipose tissue(Reference Rogge94, Reference de Mello, Costa and Engel95). Rogge(Reference Rogge94) found that, during these processes, impaired mitochondria may initiate a vicious cycle of reduced mtDNA content, mitochondrial biogenesis and β-oxidation. Impaired β-oxidation results in increased TAG synthesis and ectopic deposits of lipids, which can lead to impaired cellular functions and oxidative stress via increased ceramide formation, increased lipid peroxidation by-products, increased nitric oxide synthase concentrations, greater inflammatory cytokine production and excess ROS(Reference Rogge94). Excess ROS including superoxide anions, perioxynitrite, hydroxyl radicals and hydrogen peroxide can damage lipids in membranes, proteins (especially OXPHOS enzymes) and nuclear and mitochondrial nucleic acids leading to further cellular damage(Reference Rogge94). When fatty acids accumulate in the cytosol, β- and ω-oxidation are activated in peroxisomes and microsomes, respectively(Reference Rogge94). Ω-oxidation can damage mitochondria through uncoupling oxidative phosphorylation and disrupting the mitochondrial membrane proton gradient leading to loss of ATP production(Reference Rogge94). Furthermore, in obesity, the mitochondria are overloaded with glucose and fatty acids, which increases acetyl-CoA production and, in turn, results in high NADH concentrations produced by the Krebs cycle(Reference de Mello, Costa and Engel95). As a consequence, this increases electron availability to the mitochondrial respiratory chain complexes and increases ROS production which activates transcription factors e.g. NFκB that regulate the inflammatory response(Reference de Mello, Costa and Engel95). The earlier evidence demonstrated that obesity reduces mitochondrial number, biogenesis and respiratory capacity which results in mitochondrial dysfunction(Reference de Mello, Costa and Engel95).

Effects of weight loss on mitochondrial structure and function

There is evidence from animal models as well as from direct investigations in human subjects that weight loss and/or nutrient and energy restriction leads to enhanced mitochondrial integrity, capacity, function and biogenesis.

Studies in animal models

Effects of dietary energy restriction

Animal studies have investigated the effects of dietary energy (caloric) restriction on mitochondrial function. Zid and colleagues(Reference Zid, Rogers and Katewa96) revealed that energy restriction in Drosophila potentiated mitochondrial activity by increasing ribosomal loading of genes encoding complex I and IV of the respiratory transport chain. Energy restriction resulted in increased mitochondrial biogenesis, fusion, increased ATP production and increased expression of mRNA of NRF1, TFAM, COX4, Cyt C, MFN1, MFN2, eNOS and PGC-1α in various tissues of male mice(Reference Nisoli, Tonello and Cardile97). Raffaello and Rizzuto(Reference Raffaello and Rizzuto98) demonstrated that many signalling pathways are involved in the expression of genes involved in the stress response; for example genes which reduce mitochondrial ROS production and promote mitochondrial activity and function. Energy restriction downregulated the insulin-like growth factor-1 signalling pathway and induced transcription of the mitochondrial antioxidant gene SOD2 (Reference Raffaello and Rizzuto98). Energy restriction can activate the SIRT1 and/or AMPK signalling pathway(s) which consequently increase PGC-1α concentrations(Reference Raffaello and Rizzuto98). Other studies also found that energy restriction in aged animals activated PCG-1α which, subsequently, activated AMP-activated protein kinase and sirtuins; this improved mitochondrial integrity, biogenesis and reduced mitochondrial-derived ROS and damage(Reference Reznick, Zong and Li99Reference Martin-Montalvo and de Cabo101). Overall, there is consistent evidence that dietary energy restriction improves mitochondrial function via reduced oxidative stress and that this results in the activation of PGC-1α and AMP kinase. Evidence suggests that metabolic inputs tightly regulate mitochondrial fusion and fission rates which can improve mitochondrial function(Reference Wai and Langer102). Nutrient starvation leads to reduced fission rates, by triggering protein Kinase A mediated phosphorylation of Drp1 (a mediator of mitochondrial fission) in mouse embryonic fibroblasts(Reference Rambold, Kostelecky and Elia103). Additionally, nutrient depletion leads to interconnection and elongation of mitochondria through downregulation of Drp1.(Reference Rambold, Kostelecky and Elia103). This increased mitochondrial network, as a result of nutrient depletion, protects against autophagosomal degradation(Reference Rambold, Kostelecky and Elia103). Lee and colleagues(Reference Wai and Langer102, Reference Lee, Kapur and Li104) found that glucose restriction in mouse skeletal muscle deacetylates and activates Mfn1, a mitofusin implicated in the regulation of mitochondrial morphology and, subsequently leads to mitochondrial fusion which serves as a protection against oxidative stress. McKiernan(Reference McKiernan, Colman and Lopez105) found no differences in mitochondrial electron transport enzyme abnormalities in skeletal muscle between energy restricted and control rhesus monkeys, but reported large mtDNA deletions (which removed a large proportion of the genome of at least one of the three mitochondrial encoded COX subunits) in fibres with abnormal mitochondrial enzyme activities. In animal models, there is consistent evidence that nutrient and energy depletion improves mitochondrial function through reduced fission and increased mitochondrial fusion rates as a result of downregulated Drp1 and upregulated Mfn1, respectively. However, there is a lack of evidence on the effects of nutrient and energy depletion on mtDNA content, β-oxidation and expression of mitochondrial proteins and enzymes (encoded by the nuclear or mitochondrial genome).

Effects of weight loss on mitochondrial structure and function in human subjects

In addition to evidence from animal model studies, human studies have demonstrated improved mitochondrial structure and function after energy depletion and weight loss. These studies are summarised in Table 2 and discussed in more detail later.

Table 2. Effects of weight loss on mitochondrial structure and function in obese human subjects

The effects of weight loss via diet and/or exercise

In thirty-six young overweight subjects, induction of negative energy balance by 25 % (through dietary energy restriction, or dietary restriction plus increase in energy expenditure through exercise) resulted in increased expression of genes involved in mitochondrial function (PPARGC1A, TFAM, eNOS, SIRT1 and PARL), and increased mtDNA content but had no effect on mitochondrial enzyme activity (citrate synthase (for TCA cycle), β-hydroxyacyl-CoA dehydrogenase (for β-oxidation) and cytochrome c oxidase II (for the electron transport chain)) in muscle(Reference Civitarese, Carling and Heilbronn107) Improvement in aerobic capacity, mitochondrial content and reduced mitochondrial size in skeletal muscle were observed in a diet plus exercise intervention (mean 8·5 kg weight loss achieved) but not in a diet alone weight loss intervention (mean 10·6 kg weight loss achieved)(Reference Toledo, Menshikova and Azuma108). The larger effects of the combination of diet and exercise on mitochondria might not be due to weight loss per se but because exercise has independent, and synergistic, effects on mitochondria to those of dietary energy reduction alone(Reference Toledo, Menshikova and Azuma108).

The effects of weight loss following bariatric surgery

Expression of Mfn2, which is an essential mitochondrial fusion protein and contributes to mitochondrial network integrity, was reduced in skeletal muscle of obese individuals. However, 2 years after bilio-pancreatic diversion surgery which caused a 25 kg/m2 unit fall in BMI (resulting in mean 31 kg/m2 BMI). Mfn2 expression was increased significantly suggesting that Mfn2 expression is inversely proportional to body weight(Reference Bach, Naon and Pich106). A study involving 101 RYGB patients allocated either to an exercise or health education control intervention, found at 6 months follow-up that a mean 23·6 kg weight loss by RYGB in addition to the exercise intervention enhanced mitochondrial respiration in vastus lateralis muscle tissue. Although the RYGB plus health education achieved similar weight loss (mean 22·1 kg) to the RYGB plus exercise intervention it did not alter mitochondrial respiration. Neither intervention arm showed a change in OXPHOS content and all patients remained obese (mean 30·4 kg/m2 BMI) at follow-up(Reference Coen, Menshikova and Distefano109); it is unclear if the effects were due to weight loss per se. Fernstrom(Reference Fernstrom, Bakkman and Loogna112) reported that 6 months after RYGB, mean weight loss in eleven obese females was 25·5 kg and resulted in increased coupled respiration in vastus lateralis muscle. However, there were no effects on respiratory control index (a quality measure of isolated mitochondria) and uncoupled respiration (oxygen consumption without ADP phosphorylation), and although patients achieved significant weight loss they remained overweight post-operatively with a mean BMI of 29·6 kg/m2. These studies show that sustained and significant weight loss following bariatric surgery results in increased mitochondrial fusion protein Mfn2 and enhanced mitochondrial (coupled) respiration in muscle tissue(Reference Bach, Naon and Pich106Reference Fernstrom, Bakkman and Loogna112).

Jahansouz(Reference Jahansouz, Serrot and Frohnert110) investigated the short-term (7·5 d) effect of RYGB (n 8) and adjustable gastric banding (n 8). Although at this stage weight loss was small and non-significant (mean 0·9 kg/m2 unit fall in BMI), expression of PGC-1 α, NRF1, Cyt C, Tfam and eNOS were increased. Expression of these genes is associated with mitochondrial biogenesis, and protein carbonylation, a marker of oxidative stress, which was lower in the adipose tissue. These effects were evident after RYGB but adjustable gastric banding had no effect. Following bariatric surgery a rapid improvement in glycemic control occurs, prior to weight reduction, suggesting that the observed changes in gene expression might be due to metabolic changes linked to bariatric surgery, rather than to weight loss per se. Obese women (n 18) were allocated to a normoglycemic group and to an insulin resistant group before they underwent bariatric surgery. Subsequent investigations in subcutaneous adipose tissue 13 months post-operatively revealed that the normoglycemic group (14·2 kg/m2 unit fall in BMI) showed decreases in mitofilin and PGC-1α concentrations, whereas the insulin resistant group (17·5 kg/m2 unit fall in BMI) had changes in the opposite direction for mitofilin and PGC-1α concentrations(Reference Moreno-Castellanos, Guzman-Ruiz and Cano111). This suggests that the effects of surgically induced weight loss on mitochondrial function may depend on initial metabolic status(Reference Moreno-Castellanos, Guzman-Ruiz and Cano111). In nineteen obese patients, individuals who achieved mean 33 % weight loss at 1-year post-RYGB had smaller adipocytes which were richer in mitochondria(Reference Camastra, Vitali and Anselmino113). Significant and sustained weight loss following bariatric surgery results in an increased number of mitochondria, upregulated gene expression (coding for mitochondrial biogenesis, function and dynamic) and reduced oxidative stress(Reference Jahansouz, Serrot and Frohnert110Reference Martinez de la Escalera, Kyrou and Vrbikova114).

To date, the studies investigating the effect of weight loss by bariatric surgery have focused on effects in muscle and adipose tissue only and more studies in other tissues are warranted. These studies varied in duration of follow-up (7·5 d to 13 months), type of bariatric surgery procedure and weight and BMI loss achieved (11·6 kg–25·5 kg and BMI 0·9–25 kg/m2, respectively) and these differences in study design may explain the lack of consistent results on mitochondrial structure and function. One important limitation of all studies discussed earlier is that the patients remained overweight and/or obese post-surgery and there is a lack of evidence of effects of weight loss leading to a normal weight on these mitochondrial outcomes. Finally, physical activity/exercise seems to have additional benefits on mitochondrial outcomes beyond those of weight loss per se, but this is beyond the scope of the present paper and will not be discussed here.

There is strong and consistent evidence that weight loss by dietary intervention or bariatric surgery leads to an increase in fusion proteins and PGC-1α concentrations, and a reduction in oxidative stress in both animal and human studies. Expression of genes such as Tfam and eNos were increased after a diet and exercise intervention and RYGB in human subjects indicating improved mitochondrial capacity. Weight loss increased gene expression of proteins encoding the respiratory transport chain in animals and human subjects but evidence of effects on enzyme activity is lacking for both animal and human studies. More studies in females have investigated the effects of bariatric surgery and found increased mitochondrial respiration and differential mitochondrial gene expression leading to improved mitochondrial function. We are not aware of studies that have investigated the effect of weight loss on existing mitochondrial genomic damage. The evidence on increased mtDNA content after weight loss is limited in both animal and human. Overall, there is some evidence that weight loss results in improvements of mitochondrial structure and function but more studies are needed to confirm the limited findings to date.

The potential mechanisms underlying the effects of weight loss on mitochondrial function

Energy and nutrient restriction, either via fasting, dietary energy restriction or increased physical activity, increases cAMP concentration and AMP:ATP ratio which triggers the PKA/CREB, SIRT1 and AMPK signalling pathways and, in turn, activates PGC-1α(Reference Handschin and Spiegelman115, Reference Cheng and Almeida116). PGC-1α is the key regulator of mitochondrial biogenesis which activates downstream targets including Tfam, Nrf1 and Nrf2, resulting in upregulation of mitochondrial activity and biogenesis(Reference Cheng and Almeida116).

Effect of weight loss on mitochondrial structure and function in the human colon

Animal and human studies provide evidence of causal links between increased adiposity and mitochondrial dysfunction. In addition, weight loss in those who are overweight or obese results in enhanced mitochondrial structure and function in various tissues, particularly skeletal muscle and adipose tissue. However, few studies have investigated the effects of obesity on mitochondrial function in the colon; all of these have been in vitro or in animal models and we are unaware of any published evidence on the effects of obesity or of weight loss on mitochondrial structure and function in the human colon.

For example, in a rat model of diet-induced obesity, two groups, rats from the lowest and highest quartile of obese body weight, were selected. Principal component analysis showed that increased adiposity in the group with the highest body weight was associated with twenty-seven out of the sixty-nine colon mitochondrial-associated proteins in colon tissue. Over half of these proteins were downregulated suggesting reduced ATP production, protein transport and folding and, increased oxidative stress during obesity; however, these changes in mitochondrial-associated proteins were not correlated with their corresponding gene expression in the colon in response to increased adiposity(Reference Padidar, Farquharson and Rucklidge117). To verify if obesity contributes to increased CRC risk by causing mitochondrial dysfunction and reducing OXPHOS gene expression, Nimri(Reference Nimri, Saadi and Peri118) exposed MC38 and CT26 mouse colon cancer cells to conditioned media obtained from adipose tissue of mice that were fed a high-fat diet. Nimri(Reference Nimri, Saadi and Peri118) found a reduced oxygen consumption rate and a downregulation of mitochondrial gene expression mediated by the JNK/STAT-3-signalling pathway. In human HCT116 colon cancer cells, those exposed to media from cultured human visceral adipose tissue fragments of obese individuals had reduced expression of mitochondrial respiratory chain complexes e.g. COX1, COX2, COX4 and SDHs compared with those exposed to media from non-obese individuals. This supports the notion that media from obese individuals may induce mitochondrial dysfunction (reduced mitochondrial respiration and function) in HCT116 cells(Reference Yehuda-Shnaidman, Nimri and Tarnovscki119). These findings suggest that mitochondria may play a role in obesity-induced colorectal tumorigenesis but more evidence is needed to confirm this hypothesis.

We are investigating the effect of obesity and of weight loss following bariatric surgery on mitochondrial function in the human colorectal mucosa. Using immunofluorescence, we have quantified expression of oxidative phosphorylation proteins, namely complex I and IV, in colonocytes from obese individuals before and 6 months after bariatric surgery when they had lost 27 kg body mass in comparison with matched non-obese controls(Reference Afshar, Malcomson and Kelly43).

Conclusion

CRC risk is increased by obesity and by its lifestyle determinants including physical inactivity, sedentary behaviour and poor diet. Mutations accumulate during ageing leading to mitochondrial dysfunction; however it is unknown whether these are more prevalent in obese individuals. There is limited evidence suggesting that weight loss may reduce CRC risk and enhance mitochondrial activity, integrity and biogenesis. Furthermore, most of the evidence is derived from animal studies and from other tissues such as adipose tissue or skeletal muscle. In conclusion, the role of obesity and weight loss (including surgically-induced weight loss) on mitochondrial structure and function in the human colon is currently unknown and warrants further investigation.

Financial Support

This work was supported by the Newcastle University Centre for Ageing and Vitality (supported by the Biotechnology and Biological Sciences Research Council and Medical Research Council L016354), The Wellcome Trust (203105/Z/16/Z and 204709/Z/16/Z), UK NIHR Biomedical Research Centre for Ageing and Age-related disease award to the Newcastle upon Tyne Hospitals NHS Foundation Trust and by Northumbria Healthcare NHS Foundation Trust.

Conflict of Interest

None.

Authorship

The concept for this manuscript was developed by S. P. B. and J. C. M., S. P. B. drafted the manuscript, J. C. M. edited the manuscript and the final version was agreed by all authors.

References

1.Ferlay, J, Soerjomataram, I, Dikshit, R, et al. (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136, E359E386.Google Scholar
2.Arnold, M, Sierra, MS, Laversanne, M et al. (2016) Global patterns and trends in colorectal cancer incidence and mortality. Gut 66, 683691.Google Scholar
3.Ning, Y, Wang, L & Giovannucci, EL (2010) A quantitative analysis of body mass index and colorectal cancer: findings from 56 observational studies. Obes Rev 11, 1930.Google Scholar
4.Omata, F, Deshpande, GA, Ohde, S, et al. (2013) The association between obesity and colorectal adenoma: systematic review and meta-analysis. Scand J Gastroenterol 48, 136146.Google Scholar
5.Mathers, JC (2018) Obesity and bowel cancer: from molecular mechanisms to interventions. Nutr Res (New York, NY) [Epublication ahead of print version].Google Scholar
6.Ma, Y, Yang, Y, Wang, F, et al. (2013) Obesity and risk of colorectal cancer: a systematic review of prospective studies. PloS One 8, e53916.Google Scholar
7.Keum, N, Lee, DH, Kim, R, et al. (2015) Visceral adiposity and colorectal adenomas: dose-response meta-analysis of observational studies. Ann Oncology: Official J Euro Soc Medical Oncology/ESMO 26, 11011109.Google Scholar
8.Mundade, R, Imperiale, TF, Prabhu, L, et al. (2014) Genetic pathways, prevention, and treatment of sporadic colorectal cancer. Oncoscience 1, 400406.Google Scholar
9.Fearon, ER (2011) Molecular genetics of colorectal cancer. Annu Rev Pathol 6, 479507.Google Scholar
10.Humphries, A & Wright, NA. (2008) Colonic crypt organization and tumorigenesis. Nat Rev Cancer 8, 415424.Google Scholar
11.Lao, VV & Grady, WM (2011) Epigenetics and colorectal cancer. Nat Rev Gastroenterol & Hepatol 8, 686700.Google Scholar
12.Vogelstein, B, Fearon, ER, Hamilton, SR et al. (1988) Genetic alterations during colorectal-tumor development. N Engl J Med 319, 525532.Google Scholar
13.Vazquez, A, Bond, EE, Levine, AJ et al. (2008) The genetics of the p53 pathway, apoptosis and cancer therapy. Nat Rev Drug Discov 7, 979987.Google Scholar
14.Hanahan, D & Weinberg, RA (2011) Hallmarks of cancer: the next generation. Cell 144, 646674.Google Scholar
15.Grady, WM, Rajput, A, Myeroff, L et al. (1998) Mutation of the type II transforming growth factor-beta receptor is coincident with the transformation of human colon adenomas to malignant carcinomas. Cancer Res 58, 31013104.Google Scholar
16.Bellam, N & Pasche, B (2010) Tgf-beta signaling alterations and colon cancer. Cancer Treat Res 155, 85103.Google Scholar
17.Sjoblom, T, Jones, S, Wood, LD et al. (2006) The consensus coding sequences of human breast and colorectal cancers. Science (New York, NY) 314, 268274.Google Scholar
18.Eppert, K, Scherer, SW, Ozcelik, H et al. (1996) MADR2 maps to 18q21 and encodes a TGFbeta-regulated MAD-related protein that is functionally mutated in colorectal carcinoma. Cell 86, 543552.Google Scholar
19.Takaku, K, Oshima, M, Miyoshi, H et al. (1998) Intestinal tumorigenesis in compound mutant mice of both Dpc4 (Smad4) and Apc genes. Cell 92, 645656.Google Scholar
20.Wood, LD, Parsons, DW, Jones, S et al. (2007) The genomic landscapes of human breast and colorectal cancers. Science (New York, NY) 318, 11081113.Google Scholar
21.Grady, WM & Carethers, JM (2008) Genomic and epigenetic instability in colorectal cancer pathogenesis. Gastroenterology 135, 10791099.Google Scholar
22.Colussi, D, Brandi, G, Bazzoli, F et al. (2013) Molecular pathways involved in colorectal cancer: implications for disease behavior and prevention. Int J Mol Sci 14, 1636516385.Google Scholar
23.World Cancer Research Fund/American Institute for Cancer Research. (2007) Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Washington, DC American Institute for cancer research.Google Scholar
24.World Cancer Research Fund (2018) Diet, Nutrition, Physical Activity and Cancer: a Global Perspective. Continuous Update Project Expert Report 2018. Available at dietandcancerreport.orgGoogle Scholar
25.Edwards, RA, Witherspoon, M, Wang, K et al. (2009) Epigenetic repression of DNA mismatch repair by inflammation and hypoxia in inflammatory bowel disease-associated colorectal cancer. Cancer Res 69, 64236429.Google Scholar
26.Kiraly, O, Gong, G, Olipitz, W et al. (2015) Inflammation-induced cell proliferation potentiates DNA damage-induced mutations in vivo. PLoS Genet 11, e1004901.Google Scholar
27.Tuo, D, Christopher, JL, Stephen, B et al. (2016) Obesity, inflammation, and cancer. Annu Rev of Pathol: Mech Dis 11, 421449.Google Scholar
28.Wei, EK, Ma, J, Pollak, MN et al. (2005) A prospective study of C-peptide, insulin-like growth factor-I, insulin-like growth factor binding protein-1, and the risk of colorectal cancer in women. Cancer Epidemiol Biomarkers Prev 14, 850855.Google Scholar
29.Gunter, MJ, Stolzenberg-Solomon, R, Cross, AJ et al. (2006) A prospective study of serum C-reactive protein and colorectal cancer risk in men. Cancer Res 66, 24832487.Google Scholar
30.Otani, T, Iwasaki, M, Sasazuki, S et al. (2006) Plasma C-reactive protein and risk of colorectal cancer in a nested case-control study: Japan Public Health Center-based prospective study. Cancer Epidemiol Biomarkers Prev 15, 690695.Google Scholar
31.Erlinger, TP, Platz, EA, Rifai, N et al. (2004) C-reactive protein and the risk of incident colorectal cancer. JAMA 291, 585590.Google Scholar
32.Poullis, A, Foster, R, Shetty, A et al. (2004) Bowel inflammation as measured by fecal calprotectin: a link between lifestyle factors and colorectal cancer risk. Cancer Epidemiol Biomarkers Prev 13, 279284.Google Scholar
33.John, BJ, Irukulla, S, Abulafi, AM et al. (2006) Systematic review: adipose tissue, obesity and gastrointestinal diseases. Aliment Pharmacol Ther 23, 15111523.Google Scholar
34.Karin, M, Cao, Y, Greten, FR et al. (2002) NF-kappaB in cancer: from innocent bystander to major culprit. Nat Rev Cancer 2, 301310.Google Scholar
35.Karahalios, A, English, DR & Simpson, JA (2015) Weight change and risk of colorectal cancer: a systematic review and meta-analysis. Am J Epidemiol 181, 832845.Google Scholar
36.Beeken, RJ, Croker, H, Heinrich, M et al. (2017) The Impact of Diet-Induced Weight Loss on Biomarkers for Colorectal Cancer: An Exploratory Study (INTERCEPT). Obesity (Silver Spring, MD) 25, Suppl. 2, S95s101.Google Scholar
37.Nicklas, BJ, Ambrosius, W, Messier, SP et al. (2004) Diet-induced weight loss, exercise, and chronic inflammation in older, obese adults: a randomized controlled clinical trial. Am J Clin Nutr 79, 544551.Google Scholar
38.Lakhdar, N, Denguezli, M, Zaouali, M et al. (2013) Diet and diet combined with chronic aerobic exercise decreases body fat mass and alters plasma and adipose tissue inflammatory markers in obese women. Inflammation 36, 12391247.Google Scholar
39.Pendyala, S, Neff, LM, Suárez-Fariñas, M et al. (2011) Diet-induced weight loss reduces colorectal inflammation: implications for colorectal carcinogenesis. Am J Clin Nutr 93, 234242.Google Scholar
40.Kant, P, Fazakerley, R & Hull, MA (2013) Faecal calprotectin levels before and after weight loss in obese and overweight subjects. Int J Obes (2005) 37, 317319.Google Scholar
41.Afshar, S, Kelly, SB, Seymour, K et al. (2014) The effects of bariatric surgery on colorectal cancer risk: systematic review and meta-analysis. Obes Sur 24, 17931799.Google Scholar
42.Aravani, A, Downing, A, Thomas, JD et al. (2018) Obesity surgery and risk of colorectal and other obesity-related cancers: An English population-based cohort study. Cancer Epidemiol 53, 99104.Google Scholar
43.Afshar, S, Malcomson, F, Kelly, SB et al. (2018) Biomarkers of colorectal cancer risk decrease 6 months after Roux-en-Y gastric bypass surgery. Obes Sur 28, 945954.Google Scholar
44.Sainsbury, A, Goodlad, RA, Perry, SL et al. (2008) Increased colorectal epithelial cell proliferation and crypt fission associated with obesity and roux-en-Y gastric bypass. Cancer Epidemiol Biomarkers Prev 17, 14011410.Google Scholar
45.Kant, P, Sainsbury, A, Reed, KR et al. (2011) Rectal epithelial cell mitosis and expression of macrophage migration inhibitory factor are increased 3 years after Roux-en-Y gastric bypass (RYGB) for morbid obesity: implications for long-term neoplastic risk following RYGB. Gut 60, 893901.Google Scholar
46.Fernandez-Silva, P, Enriquez, JA & Montoya, J (2003) Replication and transcription of mammalian mitochondrial DNA. Exp Physiol 88, 4156.Google Scholar
47.Stewart, JB & Chinnery, PF (2015) The dynamics of mitochondrial DNA heteroplasmy: implications for human health and disease. Nat Rev Genet 16, 530542.Google Scholar
48.Case, JT & Wallace, DC (1981) Maternal inheritance of mitochondrial DNA polymorphisms in cultured human fibroblasts. Somatic cell Genetics 7, 103108.Google Scholar
49.Carling, PJ, Cree, LM & Chinnery, PF (2011) The implications of mitochondrial DNA copy number regulation during embryogenesis. Mitochondrion 11, 686692.Google Scholar
50.Gilkerson, R, Bravo, L, Garcia, I et al. (2013) The mitochondrial nucleoid: integrating mitochondrial DNA into cellular homeostasis. Cold Spring Harbor Perspectives Biol 5, a011080.Google Scholar
51.Sousa, JS, D'Imprima, E & Vonck, J (2018) Mitochondrial respiratory chain complexes. Subcell Biochem 87, 167227.Google Scholar
52.Anderson, S, Bankier, AT, Barrell, BG et al. (1981) Sequence and organization of the human mitochondrial genome. Nature 290, 457.Google Scholar
53.Shadel, GS & Clayton, DA (1993) Mitochondrial transcription initiation. Variation and conservation. J Biol Chem 268(22), 16083–6.Google Scholar
54.Larsson, NG & Clayton, DA (1995) Molecular genetic aspects of human mitochondrial disorders. Annu Rev Genet 29, 151178.Google Scholar
55.Johns, DR (1995) Seminars in medicine of the Beth Israel Hospital, Boston. Mitochondrial DNA and disease. N Engl J Med 333(10), 638644.Google Scholar
56.Gorman, GS, Chinnery, PF, DiMauro, S et al. (2016) Mitochondrial diseases. Nature Revi Disease Primers 2, 16080.Google Scholar
57.Machado, AM, Figueiredo, C, Seruca, R et al. (2010) Helicobacter pylori infection generates genetic instability in gastric cells. Biochim Biophys Acta 1806(1), 5865.Google Scholar
58.Birch-Machin, MA & Swalwell, H (2010) How mitochondria record the effects of UV exposure and oxidative stress using human skin as a model tissue. Mutagenesis 25(2), 101107.Google Scholar
59.Prior, SL, Griffiths, AP, Baxter, JM et al. (2006) Mitochondrial DNA mutations in oral squamous cell carcinoma. Carcinogenesis 27(5), 945950.Google Scholar
60.Tan, D, Goerlitz, DS, Dumitrescu, RG et al. (2008) Associations between cigarette smoking and mitochondrial DNA abnormalities in buccal cells. Carcinogenesis 02/14 10/11/received 01/22/revised 01/28/accepted;29(6), 11701177.Google Scholar
61.King, MP & Attardi, G (1989) Human cells lacking mtDNA: repopulation with exogenous mitochondria by complementation. Science (New York, NY) 246(4929), 500503.Google Scholar
62.Boulet, L, Karpati, G & Shoubridge, EA (1992) Distribution and threshold expression of the tRNA(Lys) mutation in skeletal muscle of patients with myoclonic epilepsy and ragged-red fibers (MERRF). Am J Hum Genet 51(6), 11871200.Google Scholar
63.Chen, Q, Vazquez, EJ, Moghaddas, S et al. (2003) Production of reactive oxygen species by mitochondria: central role of complex III. J Biol Chem 278(38), 3602736031.Google Scholar
64.Gao, CL, Zhu, C, Zhao, YP et al. (2010) Mitochondrial dysfunction is induced by high levels of glucose and free fatty acids in 3T3-L1 adipocytes. Mol Cell Endocrinol 320(1–2), 2533.Google Scholar
65.Zinovkina, LA (2018) Mechanisms of mitochondrial DNA repair in mammals. Biochemistry Biokhimiia 83(3), 233249.Google Scholar
66.Allen, JA & Coombs, MM (1980) Covalent binding of polycyclic aromatic compounds to mitochondrial and nuclear DNA. Nature 287(5779), 244245.Google Scholar
67.Cakir, Y, Yang, Z, Knight, CA et al. (2007) Effect of alcohol and tobacco smoke on mtDNA damage and atherogenesis. Free Radic Biol Med 43(9), 12791288.Google Scholar
68.Warburg, O (1956)On respiratory impairment in cancer cells. Science (New York, NY) 124(3215), 269270.Google Scholar
69.Liberti, MV & Locasale, JW (2016) The warburg effect: how does it benefit cancer cells? Trends Biochem Sci 41(3), 211218.Google Scholar
70.Shidara, Y, Yamagata, K, Kanamori, T et al. (2005) Positive contribution of pathogenic mutations in the mitochondrial genome to the promotion of cancer by prevention from apoptosis. Cancer Res 65(5), 16551663.Google Scholar
71.Ishikawa, K, Takenaga, K, Akimoto, M et al. (2008) ROS-generating mitochondrial DNA mutations can regulate tumor cell metastasis. Science (New York, NY) 320(5876), 661664.Google Scholar
72.Polyak, K, Li, Y, Zhu, H et al. (1998) Somatic mutations of the mitochondrial genome in human colorectal tumours. Nat Genet 20(3), 291293.Google Scholar
73.He, Y, Wu, J, Dressman, DC et al. (2010) Heteroplasmic mitochondrial DNA mutations in normal and tumour cells. Nature 464(7288), 610614.Google Scholar
74.Greaves, LC, Nooteboom, M, Elson, JL et al. (2014) Clonal expansion of early to mid-life mitochondrial DNA point mutations drives mitochondrial dysfunction during human ageing. PLoS Genet 10(9), e1004620.Google Scholar
75.Greaves, LC, Barron, MJ, Plusa, S et al. (2010) Defects in multiple complexes of the respiratory chain are present in ageing human colonic crypts. Exp Gerontol 45(7–8), 573579.Google Scholar
76.Brookheart, RT, Swearingen, AR, Collins, CA et al. (2017) High-sucrose-induced maternal obesity disrupts ovarian function and decreases fertility in Drosophila melanogaster. Biochim Biophys Acta 1863, 12551263.Google Scholar
77.Sparks, LM, Xie, H, Koza, RA et al. (2005) A high-fat diet coordinately downregulates genes required for mitochondrial oxidative phosphorylation in skeletal muscle. Diabetes 54(7), 19261933.Google Scholar
78.Stewart, LK, Wang, Z, Ribnicky, D et al. (2009) Failure of dietary quercetin to alter the temporal progression of insulin resistance among tissues of C57BL/6J mice during the development of diet-induced obesity. Diabetologia 52(3), 514523.Google Scholar
79.Devarshi, PP, McNabney, SM & Henagan, TM (2017) Skeletal muscle nucleo-mitochondrial crosstalk in obesity and type 2 diabetes. Int J Mol Sci 18, 831.Google Scholar
80.Das, N, Mandala, A, Bhattacharjee, S et al. (2017) Dietary fat proportionately enhances oxidative stress and glucose intolerance followed by impaired expression of the genes associated with mitochondrial biogenesis. Food & Function 8(4), 15771586.Google Scholar
81.Putti, R, Sica, R, Migliaccio, V et al. (2015) Diet impact on mitochondrial bioenergetics and dynamics. Front Physiol 6, 109.Google Scholar
82.Valerio, A, Cardile, A, Cozzi, V et al. (2006) TNF-alpha downregulates eNOS expression and mitochondrial biogenesis in fat and muscle of obese rodents. J Clin Invest 116(10), 27912798.Google Scholar
83.Sutherland, LN, Capozzi, LC, Turchinsky, NJ et al. (2008) Time course of high-fat diet-induced reductions in adipose tissue mitochondrial proteins: Potential mechanisms and the relationship to glucose intolerance. Am J Physiol Endocrinol Metab 295(5), E1076E1E83.Google Scholar
84.Nishida, K & Otsu, K (2017) Inflammation and metabolic cardiomyopathy. Cardiovasc Res 113(4), 389398.Google Scholar
85.Guo, CA & Guo, S (2017) Insulin receptor substrate signaling controls cardiac energy metabolism and heart failure. J Endocrinol 233, R131R143.Google Scholar
86.Choo, HJ, Kim, JH, Kwon, OB et al. (2006) Mitochondria are impaired in the adipocytes of type 2 diabetic mice. Diabetologia 49(4), 784791.Google Scholar
87.Liu, R, Jin, P, Liqun, Y et al. (2014) Impaired mitochondrial dynamics and bioenergetics in diabetic skeletal muscle. PloS One 9(3), e92810.Google Scholar
88.Semple, RK, Crowley, VC, Sewter, CP et al. (2004) Expression of the thermogenic nuclear hormone receptor coactivator PGC-1alpha is reduced in the adipose tissue of morbidly obese subjects. Int J Obes Relat Metab Disord 28(1), 176179.Google Scholar
89.Yin, X, Lanza, IR, Swain, JM et al. (2014) Adipocyte mitochondrial function is reduced in human obesity independent of fat cell size. J Clin Endocrinol Metab 11/25 08/02/received 11/12/accepted;99(2), E209EE16.Google Scholar
90.Heinonen, S, Buzkova, J, Muniandy, M et al. (2015) Impaired mitochondrial biogenesis in adipose tissue in acquired obesity. Diabetes 64(9), 31353145.Google Scholar
91.Ejarque, M, Ceperuelo-Mallafré, V, Serena, C et al. (2018) Adipose tissue mitochondrial dysfunction in human obesity is linked to a specific DNA methylation signature in adipose-derived stem cells. Int J Obes [Epublication 27 September 2018].Google Scholar
92.Kras, KA, Langlais, PR, Hoffman, N et al. (2018) Obesity modifies the stoichiometry of mitochondrial proteins in a way that is distinct to the subcellular localization of the mitochondria in skeletal muscle. Metabolism 89, 1826.Google Scholar
93.Bournat, JC & Brown, CW (2010) Mitochondrial dysfunction in obesity. Curr opin Endocrinol, Diabetes Obes 17(5), 446452.Google Scholar
94.Rogge, MM (2009) The role of impaired mitochondrial lipid oxidation in obesity. Biol Res Nurs 10(4), 356373.Google Scholar
95.de Mello, AH, Costa, AB, Engel, JDG et al. (2018) Mitochondrial dysfunction in obesity. Life Sci 2018/01/01/;192, 2632.Google Scholar
96.Zid, BM, Rogers, AN, Katewa, SD et al. (2009) 4E-BP extends lifespan upon dietary restriction by enhancing mitochondrial activity in Drosophila. Cell 139(1), 149160.Google Scholar
97.Nisoli, E, Tonello, C, Cardile, A et al. (2005) Calorie restriction promotes mitochondrial biogenesis by inducing the expression of eNOS. Science (New York, NY) 310(5746), 314317.Google Scholar
98.Raffaello, A & Rizzuto, R (2011) Mitochondrial longevity pathways. Biochim Biophys Acta 1813(1), 260268.Google Scholar
99.Reznick, RM, Zong, H, Li, J et al. (2007) Aging-associated reductions in AMP-activated protein kinase activity and mitochondrial biogenesis. Cell Metabolism 5(2), 151156.Google Scholar
100.Burnett, C, Valentini, S, Cabreiro, F et al. (2011) Absence of effects of Sir2 overexpression on lifespan in C. elegans and Drosophila. Nature 477(7365), 482485.Google Scholar
101.Martin-Montalvo, A & de Cabo, R (2013) Mitochondrial metabolic reprogramming induced by calorie restriction. Antioxid Redox Signal 19(3), 310320.Google Scholar
102.Wai, T & Langer, T (2016) Mitochondrial dynamics and metabolic regulation. Trends Endocrinol Metab 2016/02/01/;27(2), 105117.Google Scholar
103.Rambold, AS, Kostelecky, B, Elia, N et al. (2011) Tubular network formation protects mitochondria from autophagosomal degradation during nutrient starvation. Proc Natl Acad Sci U S A 108(25), 10190–5.Google Scholar
104.Lee, JY, Kapur, M, Li, M et al. (2014) MFN1 deacetylation activates adaptive mitochondrial fusion and protects metabolically challenged mitochondria. J Cell Sci 127(Pt 22), 49544963.Google Scholar
105.McKiernan, SH, Colman, RJ, Lopez, M et al. (2011) Caloric restriction delays aging-induced cellular phenotypes in rhesus monkey skeletal muscle. Exp Gerontol 46(1), 2329.Google Scholar
106.Bach, D, Naon, D, Pich, S et al. (2005) Expression of Mfn2, the Charcot-Marie-Tooth neuropathy type 2A gene, in human skeletal muscle: effects of type 2 diabetes, obesity, weight loss, and the regulatory role of tumor necrosis factor alpha and interleukin-6. Diabetes 54(9), 26852693.Google Scholar
107.Civitarese, AE, Carling, S, Heilbronn, LK et al. (2007) Calorie restriction increases muscle mitochondrial biogenesis in healthy humans. PLoS Medicine 4(3), e76.Google Scholar
108.Toledo, FG, Menshikova, EV, Azuma, K et al. (2008) Mitochondrial capacity in skeletal muscle is not stimulated by weight loss despite increases in insulin action and decreases in intramyocellular lipid content. Diabetes 57(4), 987994.Google Scholar
109.Coen, PM, Menshikova, EV, Distefano, G et al. (2015) Exercise and weight loss improve muscle mitochondrial respiration, lipid partitioning, and insulin sensitivity after gastric bypass surgery. Diabetes 64(11), 37373750.Google Scholar
110.Jahansouz, C, Serrot, FJ, Frohnert, BI et al. (2015) Roux-en-Y gastric bypass acutely decreases protein carbonylation and increases expression of mitochondrial biogenesis genes in subcutaneous adipose tissue. Obes Sur 25(12), 23762385.Google Scholar
111.Moreno-Castellanos, N, Guzman-Ruiz, R, Cano, DA et al. (2016) The effects of bariatric surgery-induced weight loss on adipose tissue in morbidly obese women depends on the initial metabolic status. Obes Sur 26(8), 17571767.Google Scholar
112.Fernstrom, M, Bakkman, L, Loogna, P et al. (2016) Improved muscle mitochondrial capacity following gastric bypass surgery in obese subjects. Obes Sur 26(7), 13911397.Google Scholar
113.Camastra, S, Vitali, A, Anselmino, M et al. (2017) Muscle and adipose tissue morphology, insulin sensitivity and beta-cell function in diabetic and nondiabetic obese patients: effects of bariatric surgery. Scientific Rep 2017/08/21;7(1), 9007.Google Scholar
114.Martinez de la Escalera, L, Kyrou, I, Vrbikova, J et al. (2017) Impact of gut hormone FGF-19 on type-2 diabetes and mitochondrial recovery in a prospective study of obese diabetic women undergoing bariatric surgery. BMC Medicine 15(1), 34.Google Scholar
115.Handschin, C & Spiegelman, BM (2006) Peroxisome proliferator-activated receptor gamma coactivator 1 coactivators, energy homeostasis, and metabolism. Endocr Rev 27(7), 728735.Google Scholar
116.Cheng, Z & Almeida, FA (2014) Mitochondrial alteration in type 2 diabetes and obesity: An epigenetic link. Cell Cycle 02/12 11/20/received 01/13/revised 02/11/accepted;13(6), 890897.Google Scholar
117.Padidar, S, Farquharson, AJ, Rucklidge, GJ et al. (2008) Influence of increased adiposity on mitochondrial-associated proteins of the rat colon: A proteomic and transcriptomic analysis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 2008/09/01/;1782(9), 532541.Google Scholar
118.Nimri, L, Saadi, J, Peri, I et al. (2015) Mechanisms linking obesity to altered metabolism in mice colon carcinogenesis. Oncotarget 6(35), 3819538209.Google Scholar
119.Yehuda-Shnaidman, E, Nimri, L, Tarnovscki, T et al. (2013) Secreted human adipose leptin decreases mitochondrial respiration in HCT116 colon cancer cells. PloS One 8(9), e74843-e.Google Scholar
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Table 1. Effects of obesity on mitochondrial structure and function in human subjects

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Table 2. Effects of weight loss on mitochondrial structure and function in obese human subjects