Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-25T06:21:30.316Z Has data issue: false hasContentIssue false

Has the two decades of research on the gut microbiome resulted in making healthier choices?

Published online by Cambridge University Press:  02 December 2024

M. Andrea Azcarate-Peril*
Affiliation:
Center for Gastrointestinal Biology and Disease (CGIBD), Department of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, UNC Microbiome Core, University of North Carolina, Chapel Hill, NC, USA

Abstract

The gut microbiome is widely recognized for its significant contribution to maintaining human health across all life stages, from infancy to adulthood and beyond. This perspective article focuses on the impacts of well-supported microbiome research on global caesarean delivery rates, breastfeeding practices, and antimicrobial use. The article also explores the impact of dietary choices, particularly those involving ultra-processed foods, on the gut microbiota and their potential contribution to conditions like obesity, metabolic syndrome, and inflammatory diseases. This perspective aims to emphasize the need for updated guidelines and policy interventions to address the increasing global trends of caesarean deliveries, reduced breastfeeding, overuse of antibiotics, and consumption of highly processed foods to counter their adverse effects on gut health.

Type
Perspective
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press in association with The Nutrition Society

Introduction

Approximately two decades ago, environmental microbiology methods were adapted to enable the identification of the various components in complex communities of microorganisms, thereby revolutionizing the study of these communities, from terminal restriction fragment length polymorphism analysis and similar methods (Arnold et al., Reference Arnold, Roach and Azcarate-Peril2016; Liu et al., Reference Liu, Marsh, Cheng and Forney1997; Muyzer & Smalla, Reference Muyzer and Smalla1998) to high-throughput sequencing, which in the beginning was dominated by the relatively long reads generated by 454 sequencing (Margulies et al., Reference Margulies, Egholm, Altman, Attiya, Bader, Bemben, Berka, Braverman, Chen, Chen, Dewell, Du, Fierro, Gomes, Godwin, He, Helgesen, Ho, Irzyk, Jando, Alenquer, Jarvie, Jirage, Kim, Knight, Lanza, Leamon, Lefkowitz, Lei, Li, Lohman, Lu, Makhijani, McDade, McKenna, Myers, Nickerson, Nobile, Plant, Puc, Ronan, Roth, Sarkis, Simons, Simpson, Srinivasan, Tartaro, Tomasz, Vogt, Volkmer, Wang, Wang, Weiner, Yu, Begley and Rothberg2005). Today, the vast amount of data generated by short and long-read sequencing, along with the bioinformatics tools developed to analyze this data, allow us to identify meaningful microbiome responses to nutritional, pharmaceutical, and disease factors in terms of composition and function (Cani & Delzenne, Reference Cani and Delzenne2011; Ursell et al., Reference Ursell, Metcalf, Parfrey and Knight2012). Furthermore, advancements in methodologies for microbiota analysis and their correlation with overall health have significantly improved, allowing us to address technical issues, including, for example, low biomass contamination issues (Eisenhofer et al., Reference Eisenhofer, Minich, Marotz, Cooper, Knight and Weyrich2019; Kennedy et al., Reference Kennedy, de Goffau, Perez-Munoz, Arrieta, Backhed, Bork, Braun, Bushman, Dore, de Vos, Earl, Eisen, Elovitz, Ganal-Vonarburg, Ganzle, Garrett, Hall, Hornef, Huttenhower, Konnikova, Lebeer, Macpherson, Massey, McHardy, Koren, Lawley, Ley, O’Mahony, O’Toole, Pamer, Parkhill, Raes, Rattei, Salonen, Segal, Segata, Shanahan, Sloboda, Smith, Sokol, Spector, Surette, Tannock, Walker, Yassour and Walter2023), and facilitated more intricate bioinformatic analysis. As I stepped up to the role of editor-in-chief of Gut Microbiome Journal and became aware of the massive amount of research generated by the newest ‘omics technologies, one question resonated: Have gut microbiome studies, approaches, and capabilities beneficially impacted human lives and the health of our planet? Several excellent reviews and meta-analysis publications have summarized compositional and functional gut microbiome studies in correlation with its impacting elements (Figure 1). This article aims to present a summary, an updated perspective, or agreement on whether and how, at various stages of life, factors such as mode of delivery, infant feeding, antibiotics, and diet, which are known to have a clear impact on the gut microbiome, have prompted changes in behaviours and guidelines.

Figure 1. The factors that influence the gut microbiome through life. (A) Life stages and household composition, (B) Geographical region, rural versus urban environments, (C) Delivery mode, breastfeeding, (D) Diet and nutrition, (E) Pollutants, and (F) Probiotics, prebiotics, synbiotics, postbiotics. Based on references: (Asnicar et al., Reference Asnicar, Berry, Valdes, Nguyen, Piccinno, Drew, Leeming, Gibson, Le Roy, Khatib, Francis, Mazidi, Mompeo, Valles-Colomer, Tett, Beghini, Dubois, Bazzani, Thomas, Mirzayi, Khleborodova, Oh, Hine, Bonnett, Capdevila, Danzanvilliers, Giordano, Geistlinger, Waldron, Davies, Hadjigeorgiou, Wolf, Ordovas, Gardner, Franks, Chan, Huttenhower, Spector and Segata2021; De Filippo et al., Reference De Filippo, Cavalieri, Di Paola, Ramazzotti, Poullet, Massart, Collini, Pieraccini and Lionetti2010; Fuhrmeister et al., Reference Fuhrmeister, Harvey, Nadimpalli, Gallandat, Ambelu, Arnold, Brown, Cumming, Earl, Kang, Kariuki, Levy, Pinto Jimenez, Swarthout, Trueba, Tsukayama, Worby and Pickering2023; Manara et al., Reference Manara, Selma-Royo, Huang, Asnicar, Armanini, Blanco-Miguez, Cumbo, Golzato, Manghi, Pinto, Valles-Colomer, Amoroso, Corrias, Ponzoni, Raffaeta, Cabrera-Rubio, Olcina, Pasolli, Collado and Segata2023; Shao et al., Reference Shao, Forster, Tsaliki, Vervier, Strang, Simpson, Kumar, Stares, Rodger, Brocklehurst, Field and Lawley2019; Srour et al., Reference Srour, Kordahi, Bonazzi, Deschasaux-Tanguy, Touvier and Chassaing2022; Van Pee et al., Reference Van Pee, Nawrot, van Leeuwen and Hogervorst2023; Winglee et al., Reference Winglee, Howard, Sha, Gharaibeh, Liu, Jin, Fodor and Gordon-Larsen2017; Yatsunenko et al., Reference Yatsunenko, Rey, Manary, Trehan, Dominguez-Bello, Contreras, Magris, Hidalgo, Baldassano, Anokhin, Heath, Warner, Reeder, Kuczynski, Caporaso, Lozupone, Lauber, Clemente, Knights, Knight and Gordon2012).

What we know about the gut microbiome in infancy

Although a neonate is first exposed to a rich and diverse microbial community at delivery, there is also indirect exposure to a complex microbial community before birth (Enav et al., Reference Enav, Backhed and Ley2022). The infant gut microbiome goes through a complex assembly process. It is safe to state that the optimal assembly of the gut microbiome will have a dramatic lifelong impact, with elements like delivery mode, vertical transmission from caregiver to baby, feeding (breast versus bottle), and other environmental sources like family members and pets (Enav et al., Reference Enav, Backhed and Ley2022; Stewart et al., Reference Stewart, Ajami, O’Brien, Hutchinson, Smith, Wong, Ross, Lloyd, Doddapaneni, Metcalf, Muzny, Gibbs, Vatanen, Huttenhower, Xavier, Rewers, Hagopian, Toppari, Ziegler, She, Akolkar, Lernmark, Hyoty, Vehik, Krischer and Petrosino2018). From an early study that showed that, even at seven years of age, significantly higher numbers of clostridia were found in children delivered vaginally compared with caesarean-born children, a multitude of studies have confirmed the disruptive effects of C-section on the assembly and evolution of the infant gut microbiota (Sandall et al., Reference Sandall, Tribe, Avery, Mola, Visser, Homer, Gibbons, Kelly, Kennedy, Kidanto, Taylor and Temmerman2018). This led to a method of restoring the infant gut microbiota by colonizing newborns with vaginal fluids from the mother, showing at least a partial restoration (Dominguez-Bello et al., Reference Dominguez-Bello, De Jesus-Laboy, Shen, Cox, Amir, Gonzalez, Bokulich, Song, Hoashi, Rivera-Vinas, Mendez, Knight and Clemente2016; Hourigan & Dominguez-Bello, Reference Hourigan and Dominguez-Bello2023). Likewise, the evidence on the benefits of breastfeeding is solid, known since the 1970s from a study in Germany that reported that formula-fed babies had decreased abundance of Bifidobacterium and increased E. coli and neomycin-resistant bacteria (Grutte & Muller-Beuthow, Reference Grutte and Muller-Beuthow1979). A longer duration of exclusive breastfeeding has been associated with reduced diarrhoea-related gut microbiota dysbiosis, with effects persisting after six months of age (Ho et al., Reference Ho, Li, Lee-Sarwar, Tun, Brown, Pannaraj, Bender, Azad, Thompson, Weiss, Azcarate-Peril, Litonjua, Kozyrskyj, Jaspan, Aldrovandi and Kuhn2018). The evolution of the infant gut microbiome will continue to be beneficially influenced by a healthy and nutritious diet, access to water and sanitation, exposure to healthy commensal environmental bacteria often found in soil (Seedorf et al., Reference Seedorf, Griffin, Ridaura, Reyes, Cheng, Rey, Smith, Simon, Scheffrahn, Woebken, Spormann, Van Treuren, Ursell, Pirrung, Robbins-Pianka, Cantarel, Lombard, Henrissat, Knight and Gordon2014; Sprockett et al., Reference Sprockett, Fukami and Relman2018), and minimal exposure to antibiotics, contamination, and pollution.

Over a decade ago, in his best-selling book “Missing Microbes, (Blaser, Reference Blaser2014)”Martin Blaser presented a compelling argument linking the overuse of antibiotics to the depletion of beneficial human-associated bacteria. Early-life exposure to antibiotics has been associated with long-term adverse health outcomes, including childhood asthma, obesity, inflammatory bowel disease, and impaired growth (refer to Table 1 in Tamburini et al. (Reference Tamburini, Shen, Wu and Clemente2016)). Recent research has raised questions about the relationship between autism, hyperactivity disorders, and asthma in familial analysis, suggesting that household co-exposures could potentially confound previous analyses (recently reviewed by Thanert et al. (Reference Thanert, Sawhney, Schwartz and Dantas2022)). Nevertheless, studies using genetically identical and environmentally controlled animal models provide mechanistic evidence supporting a direct link between early-life antibiotics and adverse health outcomes. Hence, while the mechanisms underlying the impacts of antibiotics on chronic health conditions may remain elusive, their effects on the microbiome and the host immune system are likely contributing factors.

What has changed?

The perceived safety and short-term benefits of caesarean delivery often lead to it being performed without sufficient deliberation. However, potential long-term risks are seldom discussed, and some women opt for this birth method due to a lack of awareness (Antoine & Young, Reference Antoine and Young2020). Moreover, despite extensive evidence of the influence of the mode of delivery on the gut microbiome and overall health (Mitchell et al., Reference Mitchell, Mazzoni, Hogstrom, Bryant, Bergerat, Cher, Pochan, Herman, Carrigan, Sharp, Huttenhower, Lander, Vlamakis, Xavier and Yassour2020; Rios-Covian et al., Reference Rios-Covian, Langella and Martin2021; Sandall et al., Reference Sandall, Tribe, Avery, Mola, Visser, Homer, Gibbons, Kelly, Kennedy, Kidanto, Taylor and Temmerman2018), according to the CDC, the percentage of deliveries by caesarean section increased in the US in 2021 to 32.1% after a decreasing trend from 2012 to 2020 (Osterman et al., Reference Osterman, Hamilton, Martin, Driscoll and Valenzuela2023). According to the European Perinatal Health Report (Peristat, Reference Peristat2019), the mode of delivery differed markedly throughout Europe from 2015 to 2019, with lower levels of caesarean births (16% to 17%) in most Nordic countries and the Netherlands and higher caesarean rates in Cyprus, Romania, Bulgaria, Poland, and Hungary (>40%). Likewise, although the World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF) recommend exclusively breastfeeding for the first six months of the infant’s life (World Health Organization, n.d.), only 48% of infants 0–5 months of age worldwide are exclusively breastfed. South Asia has the highest prevalence of exclusive breastfeeding (>60%). In contrast, only 26% of infants 0–5 months in North America are exclusively breastfed (United Nations Children’s Fund, n.d.). Notably, most infants born in the US in 2019 started receiving breast milk (83.2%) and continued at one month (78.6%). At six months, 55.8% of infants still received some breast milk, and 24.9% were exclusively breastfed (CDC, 2022).

In 2015, the WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) as the first step to address antimicrobial resistance (AMR), which globally threatens human health. As of the end of 2022, 127 countries, territories, and areas participate in GLASS. Based on data downloaded from the GLASS Resource Centre (WHO, 2023), the average annual antimicrobial consumption data (Defined Daily Dose [DDD] per 1000 inhabitants per day) from 2015 to 2020 increased on average in the Western Pacific (from 18.3 to 22) and Eastern Mediterranean Regions (from 38.1 to 38.8) but decreased in the European (from 19.1 to 16.2), African (from 35.2 to 23.9), Southeast Asia regions (from 41.4 to 9.5), and the Region of the Americas (from 19.8 to 17.6). We must be cautious with this data as not all regions or countries have yearly data.

The adult gut microbiome: Are we making healthy lifestyle choices?

A “healthy” (devoid of overt disease (Aagaard et al., Reference Aagaard, Petrosino, Keitel, Watson, Katancik, Garcia, Patel, Cutting, Madden, Hamilton, Harris, Gevers, Simone, McInnes and Versalovic2013)) microbiome is a somewhat vague concept where core functions not carried out by the host are provided by a microbial community capable of maintaining or rapidly returning to its functional composition after a shift induced by diet, disease, or physiological events (Lloyd-Price et al., Reference Lloyd-Price, Abu-Ali and Huttenhower2016). After the stable phase is reached in infants (around 31 months), changes to the gut microbiome are rapid and temporary, showing a significant degree of interpersonal diversity, even without disease (Qin et al., Reference Qin, Li, Raes, Arumugam, Burgdorf, Manichanh, Nielsen, Pons, Levenez, Yamada, Mende, Li, Xu, Li, Li, Cao, Wang, Liang, Zheng, Xie, Tap, Lepage, Bertalan, Batto, Hansen, Le Paslier, Linneberg, Nielsen, Pelletier, Renault, Sicheritz-Ponten, Turner, Zhu, Yu, Jian, Zhou, Li, Zhang, Qin, Yang, Wang, Brunak, Dore, Guarner, Kristiansen, Pedersen, Parkhill, Weissenbach, Bork and Ehrlich2010). Extensive research has identified major factors that affect the composition of the gut microbiome, such as age, diet, geography, disease, drugs, and exercise, despite interindividual variability. Other factors include smoking, alcohol consumption, gender, and circadian rhythm (summarized in references (Fan & Pedersen, Reference Fan and Pedersen2021; Gomaa, Reference Gomaa2020; Ramos et al., Reference Ramos, Gibson, Walton, Magistro, Kinnear and Hunter2022)).

Despite various gut microbiome configurations being linked to well-being, dietary choices significantly influence overall health by impacting the composition and function of the gut microbiome. The recent review by Ross et al. (Reference Ross, Patangia, Grimaud, Lavelle, Dempsey, Ross and Stanton2024) examined the mechanisms by which Mediterranean, high-fiber, plant-based, high-protein, ketogenic, and Western diets influence the gut microbiome. In agreement with multiple prior studies, the authors concluded that the Western diet is linked to chronic inflammation, obesity, and other non-communicable diseases. Early studies reported correlations between obesity and metabolic syndrome and the gut microbiome. Although most studies agreed that obese individuals have an overall lower microbiota diversity, the results on specific biomarker taxa were inconsistent (summarized recently by Schupack et al. (Reference Schupack, Mars, Voelker, Abeykoon and Kashyap2022)) and, therefore, unable to predict causation. Later studies on diet and the microbiome have paired increased cohort sizes with more sophisticated and highly sensitive analyses to pinpoint how individual nutrients and dietary configurations impact the microbiome overall and specific taxa, both compositionally and functionally. The PREDICT1 study reported in 2021 (Asnicar et al., Reference Asnicar, Berry, Valdes, Nguyen, Piccinno, Drew, Leeming, Gibson, Le Roy, Khatib, Francis, Mazidi, Mompeo, Valles-Colomer, Tett, Beghini, Dubois, Bazzani, Thomas, Mirzayi, Khleborodova, Oh, Hine, Bonnett, Capdevila, Danzanvilliers, Giordano, Geistlinger, Waldron, Davies, Hadjigeorgiou, Wolf, Ordovas, Gardner, Franks, Chan, Huttenhower, Spector and Segata2021) the habitual diet data, demographic information, cardiometabolic blood biomarkers, and postprandial responses to standardized test meals of 1,098 deeply phenotyped individuals. The study examined different food components to create dietary indices, such as the Healthy Food Diversity (HFD) index, which considers food quality and variety. Other indices included the Healthy (hPDI) and Unhealthy Plant-based Dietary Indices (uPDI), which consider the quality and quantity of plant-based foods. The study also assessed the Healthy Eating Index (HEI) to evaluate adherence to dietary guidelines and the alternate Mediterranean diet (aMED) score. Researchers pointed out significant links between the composition of the gut microbiome and these dietary indices, demonstrating the important relationship between diet and overall health.

Are adults leaning towards health-conscious nutritional choices?

The widely used NOVA system (Monteiro et al., Reference Monteiro, Cannon, Levy, Moubarac, Louzada, Rauber, Khandpur, Cediel, Neri, Martinez-Steele, Baraldi and Jaime2019; Moubarac et al., Reference Moubarac, Parra, Cannon and Monteiro2014) distinguishes four types of foods: unprocessed and minimally processed foods (whole foods modified without adding new substances to extend shelf-life, safety, or palatability), processed culinary ingredients (natural ingredients for use in food preparation), processed foods (the combination of culinary ingredients added to unprocessed or minimally processed foods), and ultra-processed foods (UPF, ready-to-consume, and ready-to-heat formulations, made by combining substances derived from foods with additives, typically through a series of industrial processes). The available information and evidence on the impact of UPFs on gut health is limited due to the numerous confounding factors, including environmental and compositional influences. These factors encompass the impact of specific additives and stabilizers versus the overall impact of the food product itself. Moreover, as stated by the comprehensive review recently published by Whelan et al. (Reference Whelan, Bancil, Lindsay and Chassaing2024), the classification systems and categories for UPFs have been the subject of debate and disagreement. The number of observational studies that have characterized compositional changes in the gut microbiome in response to high consumption of UPFs is limited. One study conducted in Spain reported that alpha diversity decreased in men who consumed higher UPFs and that, also in men, Bacteroidota phylum and Bacteroidia class had a positive correlation with industrially processed meat consumption (Cuevas-Sierra et al., Reference Cuevas-Sierra, Milagro, Aranaz, Martinez and Riezu-Boj2021). However, numerous significant studies have reported the impact on the gut microbiome of specific macronutrients (fat, sugar), additives (dyes, preservatives), emulsifiers, and artificial sweeteners (Srour et al., Reference Srour, Kordahi, Bonazzi, Deschasaux-Tanguy, Touvier and Chassaing2022; Whelan et al., Reference Whelan, Bancil, Lindsay and Chassaing2024).

Although it may be challenging to distinguish, the evidence of the detrimental effects of UPFs on gut health, either due to their processing methods or the inclusion of harmful additives such as dyes, sweeteners, or emulsifiers known to have detrimental effects on the gut microbiome and overall health, cannot be disputed. A systematic review from 2021 focused on 100 unique studies that estimated UPF levels of consumption in 21 countries (Marino et al., Reference Marino, Puppo, Del Bo, Vinelli, Riso, Porrini and Martini2021) and reported that the US and the UK had the highest UPF consumption (over 50%), with Italy reporting approximately 10% consumption. Unfortunately, the consumption of UPF has increased significantly worldwide. In the US adult population, the consumption of UPF has increased dramatically from 2001–2002 to 2017–2018 (from 53.5 to 57.0%kcal), while minimally processed foods decreased significantly (from 32.7 to 27.4%kcal) (Juul et al., Reference Juul, Parekh, Martinez-Steele, Monteiro and Chang2022).

Conclusion: Time waits for no one

A perspective article that aims to analyze the impacts of well-supported microbiome research on changes in guidelines and regulations may overlook important literature and reach broad conclusions. However, despite this and some seemingly contradictory studies (Is the human gut microbiome sterile at birth? (Kennedy et al., Reference Kennedy, de Goffau, Perez-Munoz, Arrieta, Backhed, Bork, Braun, Bushman, Dore, de Vos, Earl, Eisen, Elovitz, Ganal-Vonarburg, Ganzle, Garrett, Hall, Hornef, Huttenhower, Konnikova, Lebeer, Macpherson, Massey, McHardy, Koren, Lawley, Ley, O’Mahony, O’Toole, Pamer, Parkhill, Raes, Rattei, Salonen, Segal, Segata, Shanahan, Sloboda, Smith, Sokol, Spector, Surette, Tannock, Walker, Yassour and Walter2023) Are there marine bacteria in the gut? (Offord, Reference Offord2023)), the central role of gut microbiota on human health is undeniable. Accordingly, the environment, which includes everything that comes into contact with humans and surrounds them, including diet, is arguably the most influential factor in shaping our gut microbiome. Inter-country variation in taxonomic composition significantly exceeds inter-personal variation (Li et al., Reference Li, Jia, Cai, Zhong, Feng, Sunagawa, Arumugam, Kultima, Prifti, Nielsen, Juncker, Manichanh, Chen, Zhang, Levenez, Wang, Xu, Xiao, Liang, Zhang, Zhang, Chen, Zhao, Al-Aama, Edris, Yang, Wang, Hansen, Nielsen, Brunak, Kristiansen, Guarner, Pedersen, Dore, Ehrlich, Bork and Wang2014). Moreover, rural or traditional versus urban environments impact the gut microbiome. These categories are affected by seasons, and the availability of fresh produce in rural communities versus elaborated and seemingly varied foods in urban environments (Davenport et al., Reference Davenport, Mizrahi-Man, Michelini, Barreiro, Ober and Gilad2014; Smits et al., Reference Smits, Leach, Sonnenburg, Gonzalez, Lichtman, Reid, Knight, Manjurano, Changalucha, Elias, Dominguez-Bello and Sonnenburg2017). The continued exposure to environmental cues, including toxic compounds like dietary preservatives and dyes, pollutants, pesticides, heavy metals, and microplastics, as we age can lead to the exacerbation of the characteristics of unhealthy ageing processes, which include the accelerated increase of pathobionts, depletion of beneficial bacteria, and increased inflammation and frailty (De Filippis et al., Reference De Filippis, Valentino, Sequino, Borriello, Riccardi, Pierri, Cerino, Pizzolante, Pasolli, Esposito, Limone and Ercolini2024; Ghosh et al., Reference Ghosh, Shanahan and O’Toole2022).

Dietary choices exert one of the most significant impacts on the composition and functionality of the gut microbiome, thereby playing a crucial role in systemic health. Hence, a healthy diet has the potential to extend our quality of life as we age. One avenue to restore the gut microbiome is through personalized nutritional interventions (Duan et al., Reference Duan, Li, Yu and Fan2024; Kolodziejczyk et al., Reference Kolodziejczyk, Zheng and Elinav2019) and well-researched probiotics, prebiotics, or synbiotics (Arnold et al., Reference Arnold, Simpson, Roach, Bruno-Barcena and Azcarate-Peril2018, Reference Arnold, Roach, Fabela, Moorfield, Ding, Blue, Dagher, Magness, Tamayo, Bruno-Barcena and Azcarate-Peril2021a, Reference Arnold, Whittington, Dagher, Roach, Azcarate-Peril and Bruno-Barcena2021b; Azcarate-Peril et al., Reference Azcarate-Peril, Roach, Marsh, Chey, Sandborn, Ritter, Savaiano and Klaenhammer2021; Chey et al., Reference Chey, Sandborn, Ritter, Foyt, Azcarate-Peril and Savaiano2020; Hu et al., Reference Hu, Aljumaah and Azcarate-Peril2024; Merenstein et al., Reference Merenstein, Tancredi, Karl, Krist, Lenoir-Wijnkoop, Reid, Roos, Szajewska and Sanders2024; Sanborn et al., Reference Sanborn, Aljumaah, Azcarate-Peril and Gunstad2022). However, a comprehensive review of guidelines on UPFs, including emulsifiers, colorants, and other additives, resulting in immediate, impactful regulation, could mitigate their negative impact on the human microbiome and overall health (Brichacek et al., Reference Brichacek, Florkowski, Abiona and Frank2024; Whelan et al., Reference Whelan, Bancil, Lindsay and Chassaing2024), including behaviour (Prescott et al., Reference Prescott, Logan, D’Adamo, Holton, Lowry, Marks, Moodie and Poland2024). Unfortunately, regulators tend to use individual tools to address specific risks rather than coordinated strategies to tackle cumulative harm (Northcott et al., Reference Northcott, Lawrance, Parker and Baker2023).

Moreover, the existing regulatory policies on diet and nutrition are heavily influenced by the food industry, with few policies directly targeting UPFs. One study reported that from 1983 to 2022, only 25 policy actions were proposed or passed, with eight being federal and 17 being state actions. Of those 25, 22 were proposed or passed between 2011 and 2022 (Pomeranz et al., Reference Pomeranz, Mande and Mozaffarian2023). Finally, it is striking that UPFs are comparatively less expensive per calorie than unprocessed foods, with respective costs of 0.55 versus 1.45 in $/100 kcal. This cost disparity exists despite the former offering a lower nutrient density (NRF9.3 per 100 kcal: 21.2 versus 108.5) and higher calorie content (higher energy density, 2.2 versus 1.10 in kcal/g).

An emphatic and adequate conclusion for this perspective is the call to action from the Global Research Food Program at the University of North Carolina Chapel Hill: “UPFs are a substantial factor affecting worldwide increases in the prevalence and incidence of obesity and other diet-related, non-communicable diseases. UPFs’ poor nutritional profiles, hyper-palatability (and, arguably, addictive nature), and content of biologically harmful compounds all wreak havoc on health. Policy interventions are needed to curb rising UPF consumption and combat associated negative health outcomes and premature mortality” (Global Food Research Program, 2021).

Acknowledgements

The Microbiome Core is partly funded by the Center for Gastrointestinal Biology and Disease (CGIBD P30 DK034987) and the UNC Nutrition Obesity Research Center (NORC P30 DK056350).

Author contribution

Conceptualization: M.A.A.; Visualization: M.A.A.; Writing – original draft: M.A.A.; Writing – review & editing: M.A.A.

References

Aagaard, K., Petrosino, J., Keitel, W., Watson, M., Katancik, J., Garcia, N., Patel, S., Cutting, M., Madden, T., Hamilton, H., Harris, E., Gevers, D., Simone, G., McInnes, P., and Versalovic, J. 2013. The Human Microbiome Project strategy for comprehensive sampling of the human microbiome and why it matters. The FASEB Journal, 27(3), 10121022. Epub 2012/11/21. https://doi.org/10.1096/fj.12-220806. PubMed PMID: 23165986; PMCID: PMC3574278.CrossRefGoogle ScholarPubMed
Antoine, C. and Young, B.K. 2020. Cesarean section one hundred years 1920-2020: the Good, the Bad and the Ugly. Journal of Perinatal Medicine, 49(1), 516. Epub 2020/09/06. https://doi.org/10.1515/jpm-2020-0305. PubMed PMID: 32887190.CrossRefGoogle ScholarPubMed
Arnold, J.W., Roach, J., and Azcarate-Peril, M.A. 2016. Emerging technologies for gut microbiome research. Trends in Microbiology, 24(11), 887901.CrossRefGoogle ScholarPubMed
Arnold, J.W., Roach, J., Fabela, S., Moorfield, E., Ding, S., Blue, E., Dagher, S., Magness, S., Tamayo, R., Bruno-Barcena, J.M., and Azcarate-Peril, M.A. 2021a. The pleiotropic effects of prebiotic galacto-oligosaccharides on the aging gut. Microbiome, 9(1), 31. Epub 2021/01/30. https://doi.org/10.1186/s40168-020-00980-0. PubMed PMID: 33509277; PMCID: PMC7845053.CrossRefGoogle ScholarPubMed
Arnold, J.W., Simpson, J.B., Roach, J., Bruno-Barcena, J.M., and Azcarate-Peril, M.A. 2018. Prebiotics for lactose intolerance: variability in galacto-oligosaccharide utilization by intestinal lactobacillus rhamnosus. Nutrients, 10(10). Epub 2018/10/20. https://doi.org/10.3390/nu10101517. PubMed PMID: 30332787; PMCID: PMC6213946.CrossRefGoogle ScholarPubMed
Arnold, J.W., Whittington, H.D., Dagher, S.F., Roach, J., Azcarate-Peril, M.A., and Bruno-Barcena, J.M. 2021b. Safety and modulatory effects of humanized galacto-oligosaccharides on the gut microbiome. Frontiers in Nutrition, 8, 640100.CrossRefGoogle ScholarPubMed
Asnicar, F., Berry, S.E., Valdes, A.M., Nguyen, L.H., Piccinno, G., Drew, D.A., Leeming, E., Gibson, R., Le Roy, C., Khatib, H.A., Francis, L., Mazidi, M., Mompeo, O., Valles-Colomer, M., Tett, A., Beghini, F., Dubois, L., Bazzani, D., Thomas, A.M., Mirzayi, C., Khleborodova, A., Oh, S., Hine, R., Bonnett, C., Capdevila, J., Danzanvilliers, S., Giordano, F., Geistlinger, L., Waldron, L., Davies, R., Hadjigeorgiou, G., Wolf, J., Ordovas, J.M., Gardner, C., Franks, P.W., Chan, A.T., Huttenhower, C., Spector, T.D., and Segata, N. 2021. Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals. Nature Medicine, 27(2), 321332. Epub 2021/01/13. https://doi.org/10.1038/s41591-020-01183-8. PubMed PMID: 33432175; PMCID: PMC8353542.CrossRefGoogle ScholarPubMed
Azcarate-Peril, M., Roach, J., Marsh, A., Chey, W.D., Sandborn, W.J., Ritter, A.J., Savaiano, D.A., and Klaenhammer, T. 2021. A double-blind, 377-subject randomized study identifies Ruminococcus, Coprococcus, Christensenella, and Collinsella as long-term potential key players in the modulation of the gut microbiome of lactose intolerant individuals by galacto-oligosaccharides. Gut Microbes, 13(1), 1957536.CrossRefGoogle ScholarPubMed
Blaser, M.J. 2014. Missing Microbes: How the Overuse of Antibiotics is Fueling Our Modern Plagues. New York: Henry Holt and Company.Google Scholar
Brichacek, A.L., Florkowski, M., Abiona, E., and Frank, K.M. 2024. Ultra-processed foods: a narrative review of the impact on the human gut microbiome and variations in classification methods. Nutrients, 16(11). Epub 2024/06/19. https://doi.org/10.3390/nu16111738. PubMed PMID: 38892671; PMCID: PMC11174918.CrossRefGoogle ScholarPubMed
Cani, P.D. and Delzenne, N.M. 2011. The gut microbiome as therapeutic target. Pharmacology & Therapeutics, 130(2), 202212. Epub 2011/02/08. https://doi.org/10.1016/j.pharmthera.2011.01.012. PubMed PMID: 21295072.CrossRefGoogle ScholarPubMed
CDC. 2022. Breastfeeding Report Card. Division of Nutrition PA, and Obesity.Google Scholar
Chey, W., Sandborn, W., Ritter, A.J., Foyt, H., Azcarate-Peril, M.A., and Savaiano, D.A. 2020. Galacto-oligosaccharide rp-g28 improves multiple clinical outcomes in lactose-intolerant patients. Nutrients, 12(4), 1058.CrossRefGoogle ScholarPubMed
Cuevas-Sierra, A., Milagro, F.I., Aranaz, P., Martinez, J.A., and Riezu-Boj, J.I. 2021. Gut microbiota differences according to ultra-processed food consumption in a Spanish population. Nutrients, 13(8). Epub 2021/08/28. https://doi.org/10.3390/nu13082710. PubMed PMID: 34444870; PMCID: PMC8398738.CrossRefGoogle Scholar
Davenport, E.R., Mizrahi-Man, O., Michelini, K., Barreiro, L.B., Ober, C., and Gilad, Y. 2014. Seasonal variation in human gut microbiome composition. PLoS One, 9(3), e90731. Epub 2014/03/13. https://doi.org/10.1371/journal.pone.0090731. PubMed PMID: 24618913; PMCID: PMC3949691 exist.CrossRefGoogle ScholarPubMed
De Filippis, F., Valentino, V., Sequino, G., Borriello, G., Riccardi, M.G., Pierri, B., Cerino, P., Pizzolante, A., Pasolli, E., Esposito, M., Limone, A., and Ercolini, D. 2024. Exposure to environmental pollutants selects for xenobiotic-degrading functions in the human gut microbiome. Nature Communications, 15(1), 4482. Epub 2024/05/28. https://doi.org/10.1038/s41467-024-48739-7. PubMed PMID: 38802370; PMCID: PMC11130323.CrossRefGoogle ScholarPubMed
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J.B., Massart, S., Collini, S., Pieraccini, G., and Lionetti, P. 2010. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proceedings of the National Academy of Sciences of the United States of America, 107(33), 1469114696. Epub 2010/08/04. https://doi.org/10.1073/pnas.1005963107. PubMed PMID: 20679230; PMCID: 2930426.CrossRefGoogle ScholarPubMed
Dominguez-Bello, M.G., De Jesus-Laboy, K.M., Shen, N., Cox, L.M., Amir, A., Gonzalez, A., Bokulich, N.A., Song, S.J., Hoashi, M., Rivera-Vinas, J.I., Mendez, K., Knight, R., and Clemente, J.C. 2016. Partial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer. Nature Medicine, 22(3), 250253. Epub 2016/02/02. https://doi.org/10.1038/nm.4039. PubMed PMID: 26828196; PMCID: PMC5062956.CrossRefGoogle ScholarPubMed
Duan, H., Li, J., Yu, L., and Fan, L. 2024. The road ahead of dietary restriction on anti-aging: focusing on personalized nutrition. Critical Reviews in Food Science and Nutrition, 64(4), 891908. Epub 2022/08/12. https://doi.org/10.1080/10408398.2022.2110034. PubMed PMID: 35950606.CrossRefGoogle ScholarPubMed
Eisenhofer, R., Minich, J.J., Marotz, C., Cooper, A., Knight, R., and Weyrich, L.S. 2019. Contamination in Low Microbial Biomass Microbiome Studies: Issues and Recommendations. Trends in Microbiology, 27(2), 105117. Epub 2018/12/01. https://doi.org/10.1016/j.tim.2018.11.003. PubMed PMID: 30497919.CrossRefGoogle ScholarPubMed
Enav, H., Backhed, F., and Ley, R.E. 2022. The developing infant gut microbiome: A strain-level view. Cell Host & Microbe, 30(5), 627638. Epub 2022/05/14. https://doi.org/10.1016/j.chom.2022.04.009. PubMed PMID: 35550666.CrossRefGoogle ScholarPubMed
Fan, Y. and Pedersen, O. 2021. Gut microbiota in human metabolic health and disease. Nature Reviews. Microbiology, 19(1), 5571. Epub 2020/09/06. https://doi.org/10.1038/s41579-020-0433-9. PubMed PMID: 32887946.CrossRefGoogle Scholar
Fuhrmeister, E.R., Harvey, A.P., Nadimpalli, M.L., Gallandat, K., Ambelu, A., Arnold, B.F., Brown, J., Cumming, O., Earl, A.M., Kang, G., Kariuki, S., Levy, K., Pinto Jimenez, C.E., Swarthout, J.M., Trueba, G., Tsukayama, P., Worby, C.J., and Pickering, A.J. 2023. Evaluating the relationship between community water and sanitation access and the global burden of antibiotic resistance: an ecological study. The Lancet Microbe. Epub 2023/07/04. https://doi.org/10.1016/S2666-5247(23)00137-4. PubMed PMID: 37399829.CrossRefGoogle ScholarPubMed
Ghosh, T.S., Shanahan, F., and O’Toole, P.W. 2022. The gut microbiome as a modulator of healthy ageing. Nature Reviews. Gastroenterology & Hepatology, 19(9), 565584. Epub 2022/04/27. https://doi.org/10.1038/s41575-022-00605-x. PubMed PMID: 35468952; PMCID: PMC9035980 Health Ltd (now named 4D Pharma Cork) and Atlantia Food Clinical Trials. P.W.O.T. is a cofounder of 4D Pharma Cork. T.S.G. declares no competing interests.CrossRefGoogle ScholarPubMed
Global Food Research Program. 2021 Ultra-processed foods: A global threat to public health. University of North Carolina at Chapel Hill: Chapel Hill, NC.Google Scholar
Gomaa, E.Z. 2020. Human gut microbiota/microbiome in health and diseases: a review. Antonie Van Leeuwenhoek, 113(12), 20192040. Epub 2020/11/03. https://doi.org/10.1007/s10482-020-01474-7. PubMed PMID: 33136284.CrossRefGoogle Scholar
Grutte, F.K. and Muller-Beuthow, W. 1979. [Alteration of the normal intestinal flora in human sucklings within the last 20 years]. Die Nahrung, 23(4), 455465. Epub 1979/01/01. https://doi.org/10.1002/food.19790230415. PubMed PMID: 481569.Google Scholar
Ho, N.T., Li, F., Lee-Sarwar, K.A., Tun, H.M., Brown, B.P., Pannaraj, P.S., Bender, J.M., Azad, M.B., Thompson, A.L., Weiss, S.T., Azcarate-Peril, M.A., Litonjua, A.A., Kozyrskyj, A.L., Jaspan, H.B., Aldrovandi, G.M., and Kuhn, L. 2018. Meta-analysis of effects of exclusive breastfeeding on infant gut microbiota across populations. Nature Communications, 9(1), 4169. Epub 2018/10/12. https://doi.org/10.1038/s41467-018-06473-x. PubMed PMID: 30301893; PMCID: PMC6177445.CrossRefGoogle ScholarPubMed
Hourigan, S.K. and Dominguez-Bello, M.G. 2023. Microbial seeding in early life. Cell Host & Microbe, 31(3), 331333. Epub 2023/03/10. https://doi.org/10.1016/j.chom.2023.02.007. PubMed PMID: 36893732; PMCID: PMC10066503.CrossRefGoogle ScholarPubMed
Hu, Y., Aljumaah, M.R., and Azcarate-Peril, M.A. 2024. Galacto-oligosaccharides and the elderly gut: implications for immune restoration and health. Advances in Nutrition, 15(8), 100263. Epub 2024/06/20. https://doi.org/10.1016/j.advnut.2024.100263. PubMed PMID: 38897384.CrossRefGoogle ScholarPubMed
Juul, F., Parekh, N., Martinez-Steele, E., Monteiro, C.A., and Chang, V.W. 2022. Ultra-processed food consumption among US adults from 2001 to 2018. The American Journal of Clinical Nutrition, 115(1), 211221. Epub 2021/10/15. https://doi.org/10.1093/ajcn/nqab305. PubMed PMID: 34647997.CrossRefGoogle ScholarPubMed
Kennedy, K.M., de Goffau, M.C., Perez-Munoz, M.E., Arrieta, M.C., Backhed, F., Bork, P., Braun, T., Bushman, F.D., Dore, J., de Vos, W.M., Earl, A.M., Eisen, J.A., Elovitz, M.A., Ganal-Vonarburg, S.C., Ganzle, M.G., Garrett, W.S., Hall, L.J., Hornef, M.W., Huttenhower, C., Konnikova, L., Lebeer, S., Macpherson, A.J., Massey, R.C., McHardy, A.C., Koren, O., Lawley, T.D., Ley, R.E., O’Mahony, L., O’Toole, P.W., Pamer, E.G., Parkhill, J., Raes, J., Rattei, T., Salonen, A., Segal, E., Segata, N., Shanahan, F., Sloboda, D.M., Smith, G.C.S, Sokol, H., Spector, T.D., Surette, M.G., Tannock, G.W., Walker, A.W., Yassour, M., and Walter, J. 2023. Questioning the fetal microbiome illustrates pitfalls of low-biomass microbial studies. Nature, 613(7945), 639649. Epub 2023/01/26. https://doi.org/10.1038/s41586-022-05546-8. PubMed PMID: 36697862.CrossRefGoogle ScholarPubMed
Kolodziejczyk, A.A., Zheng, D., and Elinav, E. 2019. Diet-microbiota interactions and personalized nutrition. Nature Reviews Microbiology, 17(12), 742753. Epub 2019/09/22. https://doi.org/10.1038/s41579-019-0256-8. PubMed PMID: 31541197.CrossRefGoogle ScholarPubMed
Li, J., Jia, H., Cai, X., Zhong, H., Feng, Q., Sunagawa, S., Arumugam, M., Kultima, J.R., Prifti, E., Nielsen, T., Juncker, A.S., Manichanh, C., Chen, B., Zhang, W., Levenez, F., Wang, J., Xu, X., Xiao, L., Liang, S., Zhang, D., Zhang, Z., Chen, W., Zhao, H., Al-Aama, J.Y., Edris, S., Yang, H., Wang, J., Hansen, T., Nielsen, H.B., Brunak, S., Kristiansen, K., Guarner, F., Pedersen, O., Dore, J., Ehrlich, S.D., MetaHIT Consortium, Bork, P., and Wang, J. 2014. An integrated catalog of reference genes in the human gut microbiome. Nature Biotechnology, 32(8), 834841. Epub 2014/07/07. https://doi.org/10.1038/nbt.2942. PubMed PMID: 24997786.CrossRefGoogle ScholarPubMed
Liu, W.T., Marsh, T.L., Cheng, H., and Forney, L.J. 1997. Characterization of microbial diversity by determining terminal restriction fragment length polymorphisms of genes encoding 16S rRNA. Applied and Environmental Microbiology, 63(11), 45164522. Epub 1997/11/15. PubMed PMID: 9361437; PMCID: 168770.CrossRefGoogle ScholarPubMed
Lloyd-Price, J., Abu-Ali, G., and Huttenhower, C. 2016. The healthy human microbiome. Genome Medicine, 8(1), 51. https://doi.org/10.1186/s13073-016-0307-y. PubMed PMID: 27122046; PMCID: PMC4848870.CrossRefGoogle ScholarPubMed
Manara, S., Selma-Royo, M., Huang, K.D., Asnicar, F., Armanini, F., Blanco-Miguez, A., Cumbo, F., Golzato, D., Manghi, P., Pinto, F., Valles-Colomer, M., Amoroso, L., Corrias, M.V., Ponzoni, M., Raffaeta, R., Cabrera-Rubio, R., Olcina, M., Pasolli, E., Collado, M.C., and Segata, N. 2023. Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population. Current Biology, 33(10), 19391950.e4. Epub 2023/04/29. https://doi.org/10.1016/j.cub.2023.04.011. PubMed PMID: 37116481; PMCID: PMC10234599.CrossRefGoogle ScholarPubMed
Margulies, M., Egholm, M., Altman, W.E., Attiya, S., Bader, J.S., Bemben, L.A., Berka, J., Braverman, M.S., Chen, Y.J., Chen, Z., Dewell, S.B., Du, L., Fierro, J.M., Gomes, X.V., Godwin, B.C., He, W., Helgesen, S., Ho, C.H., Irzyk, G.P., Jando, S.C., Alenquer, M.L., Jarvie, T.P., Jirage, K.B., Kim, J.B., Knight, J.R., Lanza, J.R., Leamon, J.H., Lefkowitz, S.M., Lei, M., Li, J., Lohman, K.L., Lu, H., Makhijani, V.B., McDade, K.E., McKenna, M.P., Myers, E.W., Nickerson, E., Nobile, J.R., Plant, R., Puc, B.P., Ronan, M.T., Roth, G.T., Sarkis, G.J., Simons, J.F., Simpson, J.W., Srinivasan, M., Tartaro, K.R., Tomasz, A., Vogt, K.A., Volkmer, G.A., Wang, S.H., Wang, Y., Weiner, M.P., Yu, P., Begley, R.F., and Rothberg, J.M. 2005. Genome sequencing in microfabricated high-density picolitre reactors. Nature, 437(7057), 376380. Epub 2005/08/02. https://doi.org/10.1038/nature03959. PubMed PMID: 16056220; PMCID: PMC1464427.CrossRefGoogle ScholarPubMed
Marino, M., Puppo, F., Del Bo, C., Vinelli, V., Riso, P., Porrini, M., and Martini, D. 2021. A systematic review of worldwide consumption of ultra-processed foods: findings and criticisms. Nutrients, 13(8). Epub 2021/08/28. https://doi.org/10.3390/nu13082778. PubMed PMID: 34444936; PMCID: PMC8398521.CrossRefGoogle ScholarPubMed
Merenstein, D.J., Tancredi, D.J., Karl, J.P., Krist, A.H., Lenoir-Wijnkoop, I., Reid, G., Roos, S., Szajewska, H., and Sanders, M.E. 2024. Is there evidence to support probiotic use for healthy people? Advances in Nutrition, 100265. Epub 2024/07/09. https://doi.org/10.1016/j.advnut.2024.100265. PubMed PMID: 38977065.CrossRefGoogle ScholarPubMed
Mitchell, C.M., Mazzoni, C., Hogstrom, L., Bryant, A., Bergerat, A., Cher, A., Pochan, S., Herman, P., Carrigan, M., Sharp, K., Huttenhower, C., Lander, E.S., Vlamakis, H., Xavier, R.J., and Yassour, M. 2020. Delivery Mode Affects Stability of Early Infant Gut Microbiota. Cell Reports Medicine, 1(9), 100156. Epub 2020/12/31. https://doi.org/10.1016/j.xcrm.2020.100156. PubMed PMID: 33377127; PMCID: PMC7762768.CrossRefGoogle ScholarPubMed
Monteiro, C.A., Cannon, G., Levy, R.B., Moubarac, J.C., Louzada, M.L., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., Baraldi, L.G., and Jaime, P.C. 2019. Ultra-processed foods: what they are and how to identify them. Public Health Nutrition, 22(5), 936941. Epub 2019/02/13. https://doi.org/10.1017/S1368980018003762. PubMed PMID: 30744710; PMCID: PMC10260459.CrossRefGoogle Scholar
Moubarac, J.C., Parra, D.C., Cannon, G., and Monteiro, C.A. 2014. Food classification systems based on food processing: significance and implications for policies and actions: a systematic literature review and assessment. Current Obesity Reports, 3(2), 256272. Epub 2014/06/01. https://doi.org/10.1007/s13679-014-0092-0. PubMed PMID: 26626606.CrossRefGoogle ScholarPubMed
Muyzer, G and Smalla, K. 1998. Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) in microbial ecology. Antonie Van Leeuwenhoek, 73(1), 127141. Epub 1998/05/29. https://doi.org/10.1023/a:1000669317571. PubMed PMID: 9602286.CrossRefGoogle Scholar
Northcott, T., Lawrance, M., Parker, C., and Baker, P. 2023. Ecological regulation for healthy and sustainable food systems: responding to the global rise of ultra-processed foods. Agriculture and Human Values, 40, 13331358.CrossRefGoogle Scholar
Osterman, M.J.K., Hamilton, B.E., Martin, J.A., Driscoll, A.K., and Valenzuela, C.P. 2023. Births: Final Data for 2021. National Vital Statistics Reports, 72(1), 153. Epub 2023/02/02. PubMed PMID: 36723449.Google ScholarPubMed
Peristat, E. 2019. The European Perinatal Health Report, 2015–2019 [cited 2023]. Available from https://www.europeristat.com/.Google Scholar
Pomeranz, J.L., Mande, J.R., and Mozaffarian, D. 2023. U.S. Policies addressing ultraprocessed foods, 1980–2022. American Journal of Preventive Medicine, 65(6), 11341141. Epub 2023/07/15. https://doi.org/10.1016/j.amepre.2023.07.006. PubMed PMID: 37451324.CrossRefGoogle ScholarPubMed
Prescott, S.L., Logan, A.C., D’Adamo, C.R., Holton, K.F., Lowry, C.A., Marks, J., Moodie, R., and Poland, B. 2024. Nutritional criminology: why the emerging research on ultra-processed food matters to health and justice. International Journal of Environmental Research and Public Health, 21(2). Epub 2024/02/24. https://doi.org/10.3390/ijerph21020120. PubMed PMID: 38397611; PMCID: PMC10888116.CrossRefGoogle Scholar
Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K.S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., Yamada, T., Mende, D.R., Li, J., Xu, J., Li, S., Li, D., Cao, J., Wang, B., Liang, H., Zheng, H., Xie, Y., Tap, J., Lepage, P., Bertalan, M., Batto, J.M., Hansen, T., Le Paslier, D., Linneberg, A., Nielsen, H.B., Pelletier, E., Renault, P., Sicheritz-Ponten, T., Turner, K., Zhu, H., Yu, C., Jian, M., Zhou, Y., Li, Y., Zhang, X., Qin, N., Yang, H., Wang, J., Brunak, S., Dore, J., Guarner, F., Kristiansen, K., Pedersen, O., Parkhill, J., Weissenbach, J., Bork, P., and Ehrlich, S.D. 2010. A human gut microbial gene catalogue established by metagenomic sequencing. Nature, 464(7285), 5965. Epub 2010/03/06. https://doi.org/10.1038/nature08821. PubMed PMID: 20203603.CrossRefGoogle ScholarPubMed
Ramos, C., Gibson, G.R., Walton, G.E., Magistro, D., Kinnear, W., and Hunter, K. 2022 Systematic review of the effects of exercise and physical activity on the gut microbiome of older adults. Nutrients, 14(3). Epub 2022/03/13. https://doi.org/10.3390/nu14030674. PubMed PMID: 35277033; PMCID: PMC8837975.CrossRefGoogle ScholarPubMed
Rios-Covian, D., Langella, P., and Martin, R. 2021 . From short- to long-term effects of c-section delivery on microbiome establishment and host health. Microorganisms, 9(10). Epub 2021/10/24. https://doi.org/10.3390/microorganisms9102122. PubMed PMID: 34683443; PMCID: PMC8537978.CrossRefGoogle ScholarPubMed
Ross, F.C., Patangia, D., Grimaud, G., Lavelle, A., Dempsey, E.M., Ross, R.P., and Stanton, C. 2024. The interplay between diet and the gut microbiome: implications for health and disease. Nature Reviews Microbiology. Epub 2024/07/16. https://doi.org/10.1038/s41579-024-01068-4. PubMed PMID: 39009882.CrossRefGoogle ScholarPubMed
Sanborn, V., Aljumaah, M., Azcarate-Peril, M.A., and Gunstad, J. 2022. Examining the cognitive benefits of probiotic supplementation in physically active older adults: A randomized clinical trial. Applied Physiology, Nutrition, and Metabolism, 47(8), 871882. Epub 2022/05/27. https://doi.org/10.1139/apnm-2021-0557. PubMed PMID: 35617704.CrossRefGoogle ScholarPubMed
Sandall, J., Tribe, R.M., Avery, L., Mola, G., Visser, G.H., Homer, C.S., Gibbons, D., Kelly, N.M., Kennedy, H.P., Kidanto, H., Taylor, P., and Temmerman, M. 2018. Short-term and long-term effects of caesarean section on the health of women and children. Lancet, 392(10155), 13491357. Epub 2018/10/17. https://doi.org/10.1016/S0140-6736(18)31930-5. PubMed PMID: 30322585.CrossRefGoogle ScholarPubMed
Schupack, D.A., Mars, R.A.T., Voelker, D.H., Abeykoon, J.P., and Kashyap, P.C. 2022. The promise of the gut microbiome as part of individualized treatment strategies. Nature Reviews. Gastroenterology & Hepatology, 19(1), 725. Epub 2021/08/29. https://doi.org/10.1038/s41575-021-00499-1. PubMed PMID: 34453142; PMCID: PMC8712374.CrossRefGoogle ScholarPubMed
Seedorf, H., Griffin, N.W., Ridaura, V.K., Reyes, A., Cheng, J., Rey, F.E., Smith, M.I., Simon, G.M., Scheffrahn, R.H., Woebken, D., Spormann, A.M., Van Treuren, W., Ursell, L.K., Pirrung, M., Robbins-Pianka, A., Cantarel, B.L., Lombard, V., Henrissat, B., Knight, R., and Gordon, J.I. 2014. Bacteria from diverse habitats colonize and compete in the mouse gut. Cell, 159(2), 253266. Epub 2014/10/07. https://doi.org/10.1016/j.cell.2014.09.008. PubMed PMID: 25284151; PMCID: PMC4194163.CrossRefGoogle ScholarPubMed
Shao, Y., Forster, S.C., Tsaliki, E., Vervier, K., Strang, A., Simpson, N., Kumar, N., Stares, M.D., Rodger, A., Brocklehurst, P., Field, N., and Lawley, T.D. 2019. Stunted microbiota and opportunistic pathogen colonization in caesarean-section birth. Nature, 574(7776), 117121. Epub 2019/09/20. https://doi.org/10.1038/s41586-019-1560-1. PubMed PMID: 31534227; PMCID: PMC6894937.CrossRefGoogle ScholarPubMed
Smits, S.A., Leach, J., Sonnenburg, E.D., Gonzalez, C.G., Lichtman, J.S., Reid, G., Knight, R., Manjurano, A., Changalucha, J., Elias, J.E., Dominguez-Bello, M.G., and Sonnenburg, J.L. 2017. Seasonal cycling in the gut microbiome of the Hadza hunter-gatherers of Tanzania. Science, 357(6353), 802826. Epub 2017/08/26. https://doi.org/10.1126/science.aan4834. PubMed PMID: 28839072; PMCID: PMC5891123.CrossRefGoogle ScholarPubMed
Sprockett, D., Fukami, T., and Relman, D.A.. 2018. Role of priority effects in the early-life assembly of the gut microbiota. Nature Reviews. Gastroenterology & Hepatology, 15(4), 197205. Epub 2018/01/25. https://doi.org/10.1038/nrgastro.2017.173. PubMed PMID: 29362469; PMCID: PMC6813786.CrossRefGoogle ScholarPubMed
Srour, B., Kordahi, M.C., Bonazzi, E., Deschasaux-Tanguy, M., Touvier, M., and Chassaing, B. 2022. Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights. The Lancet Gastroenterology & Hepatology, 7(12), 11281140. Epub 2022/08/12. https://doi.org/10.1016/S2468-1253(22)00169-8. PubMed PMID: 35952706.CrossRefGoogle ScholarPubMed
Stewart, C.J., Ajami, N.J., O’Brien, J.L., Hutchinson, D.S., Smith, D.P., Wong, M.C., Ross, M.C., Lloyd, R.E., Doddapaneni, H., Metcalf, G.A., Muzny, D., Gibbs, R.A., Vatanen, T., Huttenhower, C., Xavier, R.J., Rewers, M., Hagopian, W., Toppari, J., Ziegler, A.G., She, J.X., Akolkar, B., Lernmark, A., Hyoty, H., Vehik, K., Krischer, J.P., and Petrosino, J.F. 2018. Temporal development of the gut microbiome in early childhood from the TEDDY study. Nature, 562(7728), 583588. Epub 2018/10/26. https://doi.org/10.1038/s41586-018-0617-x. PubMed PMID: 30356187; PMCID: PMC6415775.CrossRefGoogle ScholarPubMed
Tamburini, S., Shen, N., Wu, H.C., and Clemente, J.C. 2016. The microbiome in early life: implications for health outcomes. Nature Medicine, 22(7), 713722. Epub 2016/07/09. https://doi.org/10.1038/nm.4142. PubMed PMID: 27387886.CrossRefGoogle ScholarPubMed
Thanert, R., Sawhney, S.S., Schwartz, D.J., and Dantas, G. 2022. The resistance within: Antibiotic disruption of the gut microbiome and resistome dynamics in infancy. Cell Host & Microbe, 30(5), 675683. Epub 2022/05/14. https://doi.org/10.1016/j.chom.2022.03.013. PubMed PMID: 35550670; PMCID: PMC9173668.CrossRefGoogle ScholarPubMed
United Nations Children’s Fund. Division of Data, Analysis, Planning and Monitoring [Internet] 2022.Google Scholar
Ursell, L.K., Metcalf, J.L., Parfrey, L.W., and Knight, R. 2012. Defining the human microbiome. Nutrition Reviews, 70(Supp 1), S38S44. Epub 2012/08/17. https://doi.org/10.1111/j.1753-4887.2012.00493.x. PubMed PMID: 22861806; PMCID: PMC3426293.CrossRefGoogle ScholarPubMed
Van Pee, T., Nawrot, T.S., van Leeuwen, R., and Hogervorst, J. 2023. Ambient particulate air pollution and the intestinal microbiome; a systematic review of epidemiological, in vivo and, in vitro studies. Science of the Total Environment, 878, 162769. Epub 2023/03/13. https://doi.org/10.1016/j.scitotenv.2023.162769. PubMed PMID: 36907413.CrossRefGoogle ScholarPubMed
Whelan, K., Bancil, A.S., Lindsay, J.O., and Chassaing, B. 2024. Ultra-processed foods and food additives in gut health and disease. Nature Reviews. Gastroenterology & Hepatology, 21(6), 406427. Epub 2024/02/23. https://doi.org/10.1038/s41575-024-00893-5. PubMed PMID: 38388570.CrossRefGoogle ScholarPubMed
WHO. 2023 Global Antimicrobial Resistance and Use Surveillance System (GLASS). Resource Centre 2023. Available from https://www.who.int/initiatives/glass/resource-centre.Google Scholar
Winglee, K., Howard, A.G., Sha, W., Gharaibeh, R.Z., Liu, J., Jin, D., Fodor, A.A., and Gordon-Larsen, P. 2017. Recent urbanization in China is correlated with a Westernized microbiome encoding increased virulence and antibiotic resistance genes. Microbiome, 5(1), 121. Epub 2017/09/17. https://doi.org/10.1186/s40168-017-0338-7. PubMed PMID: 28915922; PMCID: PMC5603068.CrossRefGoogle Scholar
World Health Organization. The optimal duration of exclusive breastfeeding: a systematic review 2001.Google Scholar
Yatsunenko, T., Rey, F.E., Manary, M.J., Trehan, I., Dominguez-Bello, M.G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R.N., Anokhin, A.P., Heath, A.C., Warner, B., Reeder, J., Kuczynski, J., Caporaso, J.G., Lozupone, C.A., Lauber, C., Clemente, J.C., Knights, D., Knight, R., and Gordon, J.I. 2012. Human gut microbiome viewed across age and geography. Nature, 486(7402), 222227. Epub 2012/06/16. https://doi.org/10.1038/nature11053. PubMed PMID: 22699611; PMCID: 3376388.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. The factors that influence the gut microbiome through life. (A) Life stages and household composition, (B) Geographical region, rural versus urban environments, (C) Delivery mode, breastfeeding, (D) Diet and nutrition, (E) Pollutants, and (F) Probiotics, prebiotics, synbiotics, postbiotics. Based on references: (Asnicar et al., 2021; De Filippo et al., 2010; Fuhrmeister et al., 2023; Manara et al., 2023; Shao et al., 2019; Srour et al., 2022; Van Pee et al., 2023; Winglee et al., 2017; Yatsunenko et al., 2012).