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Sarkar A, McInroy CJA, Harty S, Raulo A, Ibata NGO, Valles-Colomer M, Johnson KVA, Brito IL, Henrich J, Archie EA, Barreiro LB, Gazzaniga FS, Finlay BB, Koonin EV, Carmody RN, Moeller AH. Microbial transmission in the social microbiome and host health and disease. Cell 2024; 187:17-43. [PMID: 38181740 PMCID: PMC10958648 DOI: 10.1016/j.cell.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/07/2024]
Abstract
Although social interactions are known to drive pathogen transmission, the contributions of socially transmissible host-associated mutualists and commensals to host health and disease remain poorly explored. We use the concept of the social microbiome-the microbial metacommunity of a social network of hosts-to analyze the implications of social microbial transmission for host health and disease. We investigate the contributions of socially transmissible microbes to both eco-evolutionary microbiome community processes (colonization resistance, the evolution of virulence, and reactions to ecological disturbance) and microbial transmission-based processes (transmission of microbes with metabolic and immune effects, inter-specific transmission, transmission of antibiotic-resistant microbes, and transmission of viruses). We consider the implications of social microbial transmission for communicable and non-communicable diseases and evaluate the importance of a socially transmissible component underlying canonically non-communicable diseases. The social transmission of mutualists and commensals may play a significant, under-appreciated role in the social determinants of health and may act as a hidden force in social evolution.
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Affiliation(s)
- Amar Sarkar
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Cameron J A McInroy
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Siobhán Harty
- Independent, Tandy Court, Spitalfields, Dublin, Ireland
| | - Aura Raulo
- Department of Biology, University of Oxford, Oxford, UK; Department of Computing, University of Turku, Turku, Finland
| | - Neil G O Ibata
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Mireia Valles-Colomer
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Katerina V-A Johnson
- Institute of Psychology, Leiden University, Leiden, the Netherlands; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ilana L Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Joseph Henrich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Luis B Barreiro
- Committee on Immunology, University of Chicago, Chicago, IL, USA; Department of Medicine, University of Chicago, Chicago, IL, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
| | - Francesca S Gazzaniga
- Molecular Pathology Unit, Cancer Center, Massachusetts General Hospital Research Institute, Charlestown, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - B Brett Finlay
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada; Department of Biochemistry, University of British Columbia, Vancouver, BC, Canada
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD, USA
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
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Lieberman DE, Worthington S, Schell LD, Parkent CM, Devinsky O, Carmody RN. Reply to RJ Klement. Am J Clin Nutr 2023; 118:1241-1242. [PMID: 38044026 DOI: 10.1016/j.ajcnut.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 12/05/2023] Open
Affiliation(s)
- Daniel E Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States.
| | - Steven Worthington
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
| | - Laura D Schell
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Christine M Parkent
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States; Frank H. Netter MD School of Medicine, Quinnipiac University, North Haven, CT, United States
| | - Orrin Devinsky
- Department of Neurology, Comprehensive Epilepsy Center, New York University School of Medicine, New York, NY, United States
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
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Lieberman DE, Worthington S, Schell LD, Parkent CM, Devinsky O, Carmody RN. Comparing measured dietary variation within and between tropical hunter-gatherer groups to the Paleo Diet. Am J Clin Nutr 2023; 118:549-560. [PMID: 37343704 DOI: 10.1016/j.ajcnut.2023.06.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/11/2023] [Accepted: 06/12/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Although human diets varied considerably before the spread of agriculture, public perceptions of preagricultural diets have been strongly influenced by the Paleo Diet, which prescribes percentage calorie ranges of 19-35% protein, 22-40% carbohydrate, and 28-47% fat, and prohibits foods with added sugar, dairy, grains, most starchy tubers, and legumes. However, the empirical basis for Paleolithic nutrition remains unclear, with some of its assumptions challenged by the archaeological record and theoretical first principles. OBJECTIVES We assessed the variation in diets among tropical hunter-gatherers, including the effect of collection methods on implied macronutrient percentages. METHODS We analyzed data on animal food, plant food, and honey consumption by weight and kcal from 15 high-quality published ethnographic studies representing 11 recent tropical hunter-gatherer groups. We used Bayesian analyses to perform inference and included data collection methods and environmental variables as predictors in our models. RESULTS Our analyses reveal high levels of variation in animal versus plant foods consumed and in corresponding percentages of protein, fat, and carbohydrates. In addition, studies that weighed food items consumed in and out of camp and across seasons and years reported higher consumption of animal foods, which varied with annual mean temperature. CONCLUSIONS The ethnographic evidence from tropical foragers refutes the concept of circumscribed macronutrient ranges modeling preagricultural diets.
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Affiliation(s)
- Daniel E Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States.
| | - Steven Worthington
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
| | - Laura D Schell
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Christine M Parkent
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States; Frank H. Netter MD School of Medicine, Quinnipiac University, North Haven, CT, United States
| | - Orrin Devinsky
- Department of Neurology, Comprehensive Epilepsy Center, New York University School of Medicine, New York, NY, United States
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States.
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Abstract
Overweight, obesity, undernutrition and their respective sequelae have devastating tolls on personal and public health worldwide. Traditional approaches for treating these conditions with diet, exercise, drugs and/or surgery have shown varying degrees of success, creating an urgent need for new solutions with long-term efficacy. Owing to transformative advances in sequencing, bioinformatics and gnotobiotic experimentation, we now understand that the gut microbiome profoundly impacts energy balance through diverse mechanisms affecting both sides of the energy balance equation. Our growing knowledge of microbial contributions to energy metabolism highlights new opportunities for weight management, including the microbiome-aware improvement of existing tools and novel microbiome-targeted therapies. In this Review, we synthesize current knowledge concerning the bidirectional influences between the gut microbiome and existing weight management strategies, including behaviour-based and clinical approaches, and incorporate a subject-level meta-analysis contrasting the effects of weight management strategies on microbiota composition. We consider how emerging understanding of the gut microbiome alters our prospects for weight management and the challenges that must be overcome for microbiome-focused solutions to achieve success.
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Affiliation(s)
- Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Jordan E Bisanz
- Department of Biochemistry and Molecular Biology, Penn State Microbiome Center, Huck Institutes of the Life Sciences, The Pennsylvania State University, State College, PA, USA.
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Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M. The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. Microbiome 2023; 11:121. [PMID: 37254152 PMCID: PMC10228038 DOI: 10.1186/s40168-023-01542-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/05/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND The gut microbiome regulates host energy balance and adiposity-related metabolic consequences, but it remains unknown how the gut microbiome modulates body weight response to physical activity (PA). METHODS Nested in the Health Professionals Follow-up Study, a subcohort of 307 healthy men (mean[SD] age, 70[4] years) provided stool and blood samples in 2012-2013. Data from cohort long-term follow-ups and from the accelerometer, doubly labeled water, and plasma biomarker measurements during the time of stool collection were used to assess long-term and short-term associations of PA with adiposity. The gut microbiome was profiled by shotgun metagenomics and metatranscriptomics. A subcohort of 209 healthy women from the Nurses' Health Study II was used for validation. RESULTS The microbial species Alistipes putredinis was found to modify the association between PA and body weight. Specifically, in individuals with higher abundance of A. putredinis, each 15-MET-hour/week increment in long-term PA was associated with 2.26 kg (95% CI, 1.53-2.98 kg) less weight gain from age 21 to the time of stool collection, whereas those with lower abundance of A. putredinis only had 1.01 kg (95% CI, 0.41-1.61 kg) less weight gain (pinteraction = 0.019). Consistent modification associated with A. putredinis was observed for short-term PA in relation to BMI, fat mass%, plasma HbA1c, and 6-month weight change. This modification effect might be partly attributable to four metabolic pathways encoded by A. putredinis, including folate transformation, fatty acid β-oxidation, gluconeogenesis, and stearate biosynthesis. CONCLUSIONS A greater abundance of A. putredinis may strengthen the beneficial association of PA with body weight change, suggesting the potential of gut microbial intervention to improve the efficacy of PA in body weight management. Video Abstract.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew R Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laila Al-Shaar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Biostatistics, International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Benjamin C Fu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel N Carmody
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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McNamara MP, Venable EM, Cadney MD, Castro AA, Schmill MP, Kazzazi L, Carmody RN, Garland T. Weanling gut microbiota composition of a mouse model selectively bred for high voluntary wheel-running behavior. J Exp Biol 2023; 226:287120. [PMID: 36728594 DOI: 10.1242/jeb.245081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 01/18/2023] [Indexed: 02/03/2023]
Abstract
We compared the fecal microbial community composition and diversity of four replicate lines of mice selectively bred for high wheel-running activity over 81 generations (HR lines) and four non-selected control lines. We performed 16S rRNA gene sequencing on fecal samples taken 24 h after weaning, identifying a total of 2074 bacterial operational taxonomic units. HR and control mice did not significantly differ for measures of alpha diversity, but HR mice had a higher relative abundance of the family Clostridiaceae. These results differ from a study of rats, where a line bred for high forced-treadmill endurance and that also ran more on wheels had lower relative abundance of Clostridiaceae, as compared with a line bred for low endurance that ran less on wheels. Within the HR and control groups, replicate lines had unique microbiomes based on unweighted UniFrac beta diversity, indicating random genetic drift and/or multiple adaptive responses to selection.
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Affiliation(s)
- Monica P McNamara
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 91521, USA
| | - Emily M Venable
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Marcell D Cadney
- Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
| | - Alberto A Castro
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 91521, USA
| | - Margaret P Schmill
- Neuroscience Graduate Program, University of California, Riverside, CA 92521, USA.,Medpace, 717th St, Suite 500, Denver, CO 80202, USA
| | - Lawrence Kazzazi
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 91521, USA
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Theodore Garland
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA 91521, USA
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Sarkar A, Harty S, Moeller AH, Klein SL, Erdman SE, Friston KJ, Carmody RN. The gut microbiome as a biomarker of differential susceptibility to SARS-CoV-2. Trends Mol Med 2021; 27:1115-1134. [PMID: 34756546 PMCID: PMC8492747 DOI: 10.1016/j.molmed.2021.09.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
Coronavirus disease 2019 (COVID-19) continues to exact a devastating global toll. Ascertaining the factors underlying differential susceptibility and prognosis following viral exposure is critical to improving public health responses. We propose that gut microbes may contribute to variation in COVID-19 outcomes. We synthesise evidence for gut microbial contributions to immunity and inflammation, and associations with demographic factors affecting disease severity. We suggest mechanisms potentially underlying microbially mediated differential susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These include gut microbiome-mediated priming of host inflammatory responses and regulation of endocrine signalling, with consequences for the cellular features exploited by SARS-CoV-2 virions. We argue that considering gut microbiome-mediated mechanisms may offer a lens for appreciating differential susceptibility to SARS-CoV-2, potentially contributing to clinical and epidemiological approaches to understanding and managing COVID-19.
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Affiliation(s)
- Amar Sarkar
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Siobhán Harty
- Tandy Court, Spitalfields, Dublin 8, D08 RP20, Ireland
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Sabra L Klein
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Susan E Erdman
- Division of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
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Ke S, Mitchell SJ, MacArthur MR, Kane AE, Sinclair DA, Venable EM, Chadaideh KS, Carmody RN, Grodstein F, Mitchell JR, Liu Y. Gut Microbiota Predicts Healthy Late-Life Aging in Male Mice. Nutrients 2021; 13:3290. [PMID: 34579167 PMCID: PMC8467910 DOI: 10.3390/nu13093290] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 12/21/2022] Open
Abstract
Calorie restriction (CR) extends lifespan and retards age-related chronic diseases in most species. There is growing evidence that the gut microbiota has a pivotal role in host health and age-related pathological conditions. Yet, it is still unclear how CR and the gut microbiota are related to healthy aging. Here, we report findings from a small longitudinal study of male C57BL/6 mice maintained on either ad libitum or mild (15%) CR diets from 21 months of age and tracked until natural death. We demonstrate that CR results in a significantly reduced rate of increase in the frailty index (FI), a well-established indicator of aging. We observed significant alterations in diversity, as well as compositional patterns of the mouse gut microbiota during the aging process. Interrogating the FI-related microbial features using machine learning techniques, we show that gut microbial signatures from 21-month-old mice can predict the healthy aging of 30-month-old mice with reasonable accuracy. This study deepens our understanding of the links between CR, gut microbiota, and frailty in the aging process of mice.
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Affiliation(s)
- Shanlin Ke
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA; (S.K.); (F.G.)
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Sarah J. Mitchell
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Health Sciences and Technology, ETH Zurich, 8005 Zurich, Switzerland;
| | - Michael R. MacArthur
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Health Sciences and Technology, ETH Zurich, 8005 Zurich, Switzerland;
| | - Alice E. Kane
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; (A.E.K.); (D.A.S.)
| | - David A. Sinclair
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; (A.E.K.); (D.A.S.)
| | - Emily M. Venable
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; (E.M.V.); (K.S.C.); (R.N.C.)
| | - Katia S. Chadaideh
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; (E.M.V.); (K.S.C.); (R.N.C.)
| | - Rachel N. Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; (E.M.V.); (K.S.C.); (R.N.C.)
| | - Francine Grodstein
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA; (S.K.); (F.G.)
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - James R. Mitchell
- Department of Health Sciences and Technology, ETH Zurich, 8005 Zurich, Switzerland;
| | - Yangyu Liu
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA; (S.K.); (F.G.)
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Ma S, Ren B, Mallick H, Moon YS, Schwager E, Maharjan S, Tickle TL, Lu Y, Carmody RN, Franzosa EA, Janson L, Huttenhower C. A statistical model for describing and simulating microbial community profiles. PLoS Comput Biol 2021; 17:e1008913. [PMID: 34516542 PMCID: PMC8491899 DOI: 10.1371/journal.pcbi.1008913] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 10/05/2021] [Accepted: 08/19/2021] [Indexed: 12/26/2022] Open
Abstract
Many methods have been developed for statistical analysis of microbial community profiles, but due to the complex nature of typical microbiome measurements (e.g. sparsity, zero-inflation, non-independence, and compositionality) and of the associated underlying biology, it is difficult to compare or evaluate such methods within a single systematic framework. To address this challenge, we developed SparseDOSSA (Sparse Data Observations for the Simulation of Synthetic Abundances): a statistical model of microbial ecological population structure, which can be used to parameterize real-world microbial community profiles and to simulate new, realistic profiles of known structure for methods evaluation. Specifically, SparseDOSSA's model captures marginal microbial feature abundances as a zero-inflated log-normal distribution, with additional model components for absolute cell counts and the sequence read generation process, microbe-microbe, and microbe-environment interactions. Together, these allow fully known covariance structure between synthetic features (i.e. "taxa") or between features and "phenotypes" to be simulated for method benchmarking. Here, we demonstrate SparseDOSSA's performance for 1) accurately modeling human-associated microbial population profiles; 2) generating synthetic communities with controlled population and ecological structures; 3) spiking-in true positive synthetic associations to benchmark analysis methods; and 4) recapitulating an end-to-end mouse microbiome feeding experiment. Together, these represent the most common analysis types in assessment of real microbial community environmental and epidemiological statistics, thus demonstrating SparseDOSSA's utility as a general-purpose aid for modeling communities and evaluating quantitative methods. An open-source implementation is available at http://huttenhower.sph.harvard.edu/sparsedossa2.
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Affiliation(s)
- Siyuan Ma
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Boyu Ren
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Himel Mallick
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Yo Sup Moon
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Emma Schwager
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sagun Maharjan
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Timothy L. Tickle
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Yiren Lu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Rachel N. Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Eric A. Franzosa
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Lucas Janson
- Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America
| | - Curtis Huttenhower
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Broad Institute, Cambridge, Massachusetts, United States of America
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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10
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Affiliation(s)
- Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Amar Sarkar
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Aspen T Reese
- Division of Biological Sciences, Section of Ecology, Behavior, and Evolution, University of California, San Diego, La Jolla, CA, USA.
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11
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Reese AT, Chadaideh KS, Diggins CE, Schell LD, Beckel M, Callahan P, Ryan R, Emery Thompson M, Carmody RN. Effects of domestication on the gut microbiota parallel those of human industrialization. eLife 2021; 10:60197. [PMID: 33755015 PMCID: PMC7987347 DOI: 10.7554/elife.60197] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 02/12/2021] [Indexed: 12/21/2022] Open
Abstract
Domesticated animals experienced profound changes in diet, environment, and social interactions that likely shaped their gut microbiota and were potentially analogous to ecological changes experienced by humans during industrialization. Comparing the gut microbiota of wild and domesticated mammals plus chimpanzees and humans, we found a strong signal of domestication in overall gut microbial community composition and similar changes in composition with domestication and industrialization. Reciprocal diet switches within mouse and canid dyads demonstrated the critical role of diet in shaping the domesticated gut microbiota. Notably, we succeeded in recovering wild-like microbiota in domesticated mice through experimental colonization. Although fundamentally different processes, we conclude that domestication and industrialization have impacted the gut microbiota in related ways, likely through shared ecological change. Our findings highlight the utility, and limitations, of domesticated animal models for human research and the importance of studying wild animals and non-industrialized humans for interrogating signals of host-microbial coevolution.
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Affiliation(s)
- Aspen T Reese
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States.,Society of Fellows, Harvard University, Cambridge, MA, United States
| | - Katia S Chadaideh
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Caroline E Diggins
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Laura D Schell
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Mark Beckel
- Wildlife Science Center, Stacy, MN, United States
| | | | - Roberta Ryan
- Wildlife Science Center, Stacy, MN, United States
| | | | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
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12
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Reese AT, Phillips SR, Owens LA, Venable EM, Langergraber KE, Machanda ZP, Mitani JC, Muller MN, Watts DP, Wrangham RW, Goldberg TL, Emery Thompson M, Carmody RN. Age Patterning in Wild Chimpanzee Gut Microbiota Diversity Reveals Differences from Humans in Early Life. Curr Biol 2020; 31:613-620.e3. [PMID: 33232664 DOI: 10.1016/j.cub.2020.10.075] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/24/2020] [Accepted: 10/26/2020] [Indexed: 01/26/2023]
Abstract
Survival in primates is facilitated by commensal gut microbes that ferment otherwise indigestible plant matter, resist colonization by pathogens, and train the developing immune system.1,2 However, humans are unique among primates in that we consume highly digestible foods, wean early, mature slowly, and exhibit high lifelong investments in maintenance.3-6 These adaptations suggest that lifetime trajectories of human-microbial relationships could differ from those of our closest living relatives. Here, we profile the gut microbiota of 166 wild chimpanzees aged 8 months to 67 years in the Kibale National Park, Uganda and compare the patterns of gut microbial maturation to those previously observed in humans. We found that chimpanzee gut microbial alpha-diversity, composition, density, interindividual variation, and within-individual change over time varied significantly with age. Notably, gut microbial signatures in infants <2 years old were distinct across all five metrics. Infant chimpanzee guts were enriched in some of the same taxa prevalent in infant humans (e.g., Bifidobacterium, Streptococcus, and Bacteroides), and chimpanzee gut microbial communities, like those of humans, exhibited higher interindividual variation in infancy versus later in life. However, in direct contrast to human infants, chimpanzee infants harbored surprisingly high-diversity rather than low-diversity gut bacterial communities compared with older conspecifics. These data indicate differential trajectories of gut microbiota development in humans and chimpanzees that are consistent with interspecific differences in lactation, diet, and immune function. Probing the phenotypic consequences of differential early-life gut microbial diversity in chimpanzees and other primates will illuminate the life history impacts of the hominid-microbiome partnership.
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Affiliation(s)
- Aspen T Reese
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Sarah R Phillips
- Department of Anthropology, University of New Mexico, Albuquerque, NM, USA
| | - Leah A Owens
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Emily M Venable
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Kevin E Langergraber
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA; Ngogo Chimpanzee Project, Waltham, MA, USA; Institute of Human Origins, Tempe, AZ, USA
| | - Zarin P Machanda
- Department of Anthropology, Tufts University, Medford, MA, USA; Kibale Chimpanzee Project, Fort Portal, Uganda
| | - John C Mitani
- Ngogo Chimpanzee Project, Waltham, MA, USA; Department of Anthropology, University of Michigan, Ann Arbor, MI, USA
| | - Martin N Muller
- Department of Anthropology, University of New Mexico, Albuquerque, NM, USA; Kibale Chimpanzee Project, Fort Portal, Uganda
| | - David P Watts
- Ngogo Chimpanzee Project, Waltham, MA, USA; Department of Anthropology, Yale University, New Haven, CT, USA
| | - Richard W Wrangham
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Kibale Chimpanzee Project, Fort Portal, Uganda
| | - Tony L Goldberg
- Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA; Global Health Institute, University of Wisconsin-Madison, Madison, WI, USA; Department of Zoology, Makerere University, Kampala, Uganda
| | - Melissa Emery Thompson
- Department of Anthropology, University of New Mexico, Albuquerque, NM, USA; Kibale Chimpanzee Project, Fort Portal, Uganda
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
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13
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Sarkar A, Harty S, Johnson KVA, Moeller AH, Carmody RN, Lehto SM, Erdman SE, Dunbar RIM, Burnet PWJ. The role of the microbiome in the neurobiology of social behaviour. Biol Rev Camb Philos Soc 2020; 95:1131-1166. [PMID: 32383208 PMCID: PMC10040264 DOI: 10.1111/brv.12603] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/13/2022]
Abstract
Microbes colonise all multicellular life, and the gut microbiome has been shown to influence a range of host physiological and behavioural phenotypes. One of the most intriguing and least understood of these influences lies in the domain of the microbiome's interactions with host social behaviour, with new evidence revealing that the gut microbiome makes important contributions to animal sociality. However, little is known about the biological processes through which the microbiome might influence host social behaviour. Here, we synthesise evidence of the gut microbiome's interactions with various aspects of host sociality, including sociability, social cognition, social stress, and autism. We discuss evidence of microbial associations with the most likely physiological mediators of animal social interaction. These include the structure and function of regions of the 'social' brain (the amygdala, the prefrontal cortex, and the hippocampus) and the regulation of 'social' signalling molecules (glucocorticoids including corticosterone and cortisol, sex hormones including testosterone, oestrogens, and progestogens, neuropeptide hormones such as oxytocin and arginine vasopressin, and monoamine neurotransmitters such as serotonin and dopamine). We also discuss microbiome-associated host genetic and epigenetic processes relevant to social behaviour. We then review research on microbial interactions with olfaction in insects and mammals, which contribute to social signalling and communication. Following these discussions, we examine evidence of microbial associations with emotion and social behaviour in humans, focussing on psychobiotic studies, microbe-depression correlations, early human development, autism, and issues of statistical power, replication, and causality. We analyse how the putative physiological mediators of the microbiome-sociality connection may be investigated, and discuss issues relating to the interpretation of results. We also suggest that other candidate molecules should be studied, insofar as they exert effects on social behaviour and are known to interact with the microbiome. Finally, we consider different models of the sequence of microbial effects on host physiological development, and how these may contribute to host social behaviour.
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Affiliation(s)
- Amar Sarkar
- Trinity College, Trinity Street, University of Cambridge, Cambridge, CB2 1TQ, U.K.,Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, Fitzwilliam Street, University of Cambridge, Cambridge, CB2 1QH, U.K
| | - Siobhán Harty
- Institute of Neuroscience, Trinity College Dublin, Dublin 2, Dublin, Ireland.,School of Psychology, Trinity College Dublin, Dublin 2, Dublin, Ireland
| | - Katerina V-A Johnson
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, OX2 6GG, U.K.,Pembroke College, University of Oxford, Oxford, OX1 1DW, U.K.,Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, U.K
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Corson Hall, Tower Road, Cornell University, Ithaca, NY, 14853, U.S.A
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Peabody Museum, 11 Divinity Avenue, Cambridge, Massachusetts, 02138, USA
| | - Soili M Lehto
- Psychiatry, University of Helsinki and Helsinki University Hospital, PL 590, FI-00029, Helsinki, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, P.O. Box 6, FI-00014, Helsinki, Finland.,Institute of Clinical Medicine/Psychiatry, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland
| | - Susan E Erdman
- Division of Comparative Medicine, Massachusetts Institute of Technology, Building 16-825, 77 Massachusetts Avenue, Cambridge, MA, 02139, U.S.A
| | - Robin I M Dunbar
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, OX2 6GG, U.K
| | - Philip W J Burnet
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, U.K
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14
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Wallace IJ, Bendele AM, Riew G, Frank EH, Hung HH, Holowka NB, Bolze AS, Venable EM, Yegian AK, Dingwall HL, Carmody RN, Grodzinsky AJ, Lieberman DE. Physical inactivity and knee osteoarthritis in guinea pigs. Osteoarthritis Cartilage 2019; 27:1721-1728. [PMID: 31302235 DOI: 10.1016/j.joca.2019.07.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 06/13/2019] [Accepted: 07/01/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate whether and how a sedentary lifestyle contributes to knee osteoarthritis (OA) incidence and severity. DESIGN An experiment was conducted using Hartley guinea pigs, an established idiopathic knee OA model. To simulate a sedentary lifestyle, growing animals (n = 18) were housed for 22 weeks in small cages that restricted their mobility, while another group of animals (n = 17) received daily treadmill exercise to simulate moderate physical activity. After the experiment, histological assessments, biochemical assays, and mechanical testing were conducted to compare tibial articular cartilage structure, strength, and degree of OA degeneration between sedentary and physically active animals. Groups were also compared based on body weight and composition, as well as gut microbial community composition assessed using fecal 16S rRNA gene sequencing. RESULTS Prevalence of knee OA was similar between sedentary and physically active animals, but severity of the disease (cartilage lesion depth) was substantially greater in the sedentary group (P = 0.02). In addition, during the experiment, sedentary animals developed cartilage with lower aggrecan quantity (P = 0.03) and accumulated more body weight (P = 0.005) and visceral adiposity (P = 0.007). Groups did not differ greatly, however, in terms of cartilage thickness, collagen quantity, or stiffness, nor in terms of muscle weight, subcutaneous adiposity, or gut microbial community composition. CONCLUSIONS Our findings indicate that a sedentary lifestyle promotes the development of knee OA, particularly by enhancing disease severity rather than risk of onset, and this potentially occurs through multiple pathways including by engendering growth of functionally deficient joint tissues and the accumulation of excess body weight and adiposity.
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Affiliation(s)
- I J Wallace
- Department of Human Evolutionary Biology, Harvard University, USA.
| | | | - G Riew
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - E H Frank
- Center for Biomedical Engineering, Massachusetts Institute of Technology, USA.
| | - H-H Hung
- Center for Biomedical Engineering, Massachusetts Institute of Technology, USA.
| | - N B Holowka
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - A S Bolze
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - E M Venable
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - A K Yegian
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - H L Dingwall
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - R N Carmody
- Department of Human Evolutionary Biology, Harvard University, USA.
| | - A J Grodzinsky
- Center for Biomedical Engineering, Massachusetts Institute of Technology, USA.
| | - D E Lieberman
- Department of Human Evolutionary Biology, Harvard University, USA.
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15
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Carmody RN, Bisanz JE, Bowen BP, Maurice CF, Lyalina S, Louie KB, Treen D, Chadaideh KS, Maini Rekdal V, Bess EN, Spanogiannopoulos P, Ang QY, Bauer KC, Balon TW, Pollard KS, Northen TR, Turnbaugh PJ. Cooking shapes the structure and function of the gut microbiome. Nat Microbiol 2019; 4:2052-2063. [PMID: 31570867 PMCID: PMC6886678 DOI: 10.1038/s41564-019-0569-4] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 08/23/2019] [Indexed: 12/12/2022]
Abstract
Diet is a critical determinant of variation in gut microbial structure and function, outweighing even host genetics1-3. Numerous microbiome studies have compared diets with divergent ingredients1-5, but the everyday practice of cooking remains understudied. Here, we show that a plant diet served raw versus cooked reshapes the murine gut microbiome, with effects attributable to improvements in starch digestibility and degradation of plant-derived compounds. Shifts in the gut microbiota modulated host energy status, applied across multiple starch-rich plants, and were detectable in humans. Thus, diet-driven host-microbial interactions depend on the food as well as its form. Because cooking is human-specific, ubiquitous and ancient6,7, our results prompt the hypothesis that humans and our microbiomes co-evolved under unique cooking-related pressures.
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Affiliation(s)
- Rachel N Carmody
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA. .,Center for Systems Biology, Harvard University, Cambridge, MA, USA. .,Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Jordan E Bisanz
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin P Bowen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,DOE Joint Genome Institute, Walnut Creek, CA, USA
| | - Corinne F Maurice
- Center for Systems Biology, Harvard University, Cambridge, MA, USA.,Department of Microbiology & Immunology, Microbiome and Disease Tolerance Centre, McGill University, Montreal, Quebec, Canada
| | - Svetlana Lyalina
- Gladstone Institutes, University of California San Francisco, San Francisco, CA, USA
| | - Katherine B Louie
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,DOE Joint Genome Institute, Walnut Creek, CA, USA
| | - Daniel Treen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,DOE Joint Genome Institute, Walnut Creek, CA, USA
| | - Katia S Chadaideh
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Vayu Maini Rekdal
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Elizabeth N Bess
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Peter Spanogiannopoulos
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Qi Yan Ang
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Kylynda C Bauer
- Center for Systems Biology, Harvard University, Cambridge, MA, USA
| | - Thomas W Balon
- Department of Medicine, Metabolic Phenotyping Core and In Vivo Imaging System Core, Boston University, Boston, MA, USA
| | - Katherine S Pollard
- Gladstone Institutes, University of California San Francisco, San Francisco, CA, USA
| | - Trent R Northen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,DOE Joint Genome Institute, Walnut Creek, CA, USA
| | - Peter J Turnbaugh
- Department of Microbiology & Immunology, University of California San Francisco, San Francisco, CA, USA. .,Center for Systems Biology, Harvard University, Cambridge, MA, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
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16
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Carmody RN, Baggish AL. Working out the bugs: microbial modulation of athletic performance. Nat Metab 2019; 1:658-659. [PMID: 32694643 DOI: 10.1038/s42255-019-0092-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Peabody Museum, Cambridge, MA, USA.
| | - Aaron L Baggish
- Cardiovascular Performance Program, Massachusetts General Hospital, Boston, MA, USA
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17
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Kip P, Trocha KM, Tao M, O'leary JJ, Ruske J, Giulietti JM, Trevino-Villareal JH, MacArthur MR, Bolze A, Burak MF, Patterson S, Ho KJ, Carmody RN, Guzman RJ, Mitchell JR, Ozaki CK. Insights From a Short-Term Protein-Calorie Restriction Exploratory Trial in Elective Carotid Endarterectomy Patients. Vasc Endovascular Surg 2019; 53:470-476. [PMID: 31216949 DOI: 10.1177/1538574419856453] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Open vascular surgery interventions are not infrequently hampered by complication rates and durability. Preclinical surgical models show promising beneficial effects in modulating the host response to surgical injury via short-term dietary preconditioning. Here, we explore short-term protein-calorie restriction preconditioning in patients undergoing elective carotid endarterectomy to understand patient participation dynamics and practicalities of robust research approaches around nutritional/surgical interventions. METHODS We designed a pilot prospective, multicenter, randomized controlled study in patients undergoing carotid endarterectomy. After a 3:2 randomization to a 3-day preoperative protein-calorie restriction regimen (30% calorie/70% protein restriction) or ad libitum group, blood, clinical parameters, and stool samples were collected at baseline, pre-op, and post-op days 1 and 30. Subcutaneous and perivascular adipose tissues were harvested periprocedurally. Samples were analyzed for standard chemistries and cell counts, adipokines. Bacterial DNA isolation and 16S rRNA sequencing were performed on stool samples and the relative abundance of bacterial species was measured. RESULTS Fifty-one patients were screened, 9 patients consented to the study, 5 were randomized, and 4 completed the trial. The main reason for non-consent was a 3-day in-hospital stay. All 4 participants were randomized to the protein-calorie restriction group, underwent successful endarterectomy, reported no compliance difficulties, nor were there adverse events. Stool analysis trended toward increased abundance of the sulfide-producing bacterial species Bilophila wadsworthia after dietary intervention (P = .08). CONCLUSIONS Although carotid endarterectomy patients held low enthusiasm for a 3-day preoperative inpatient stay, there were no adverse effects in this small cohort. Multidisciplinary longitudinal research processes were successfully executed throughout the nutritional/surgical intervention. Future translational endeavors into dietary preconditioning of vascular surgery patients should focus on outpatient approaches.
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Affiliation(s)
- Peter Kip
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA.,2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,3 Department of Vascular Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Kaspar M Trocha
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA.,2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ming Tao
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - James J O'leary
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - Jack Ruske
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - Jennifer M Giulietti
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - Jose H Trevino-Villareal
- 2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Michael R MacArthur
- 2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrew Bolze
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - M Furkan Burak
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA.,2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Suzannah Patterson
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
| | - Karen J Ho
- 4 Department of Vascular Surgery, Northwestern Medicine Feinberg School of Medicine, Chicago, IL, USA
| | - Rachel N Carmody
- 5 Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Raul J Guzman
- 6 Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - James R Mitchell
- 2 Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - C Keith Ozaki
- 1 Division of Vascular and Endovascular Surgery, Brigham & Women's Hospital, Boston, MA, USA
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18
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Abstract
The gut microbiota is a diverse and dynamic ecological community that is increasingly recognized to play important roles in host metabolic, immunological, and behavioral functioning. As such, identifying new routes for manipulating the microbiota may provide valuable additional methods for improving host health. Dietary manipulations and prebiotic supplementation are active targets of research for altering the microbiota, but to date, this work has disproportionately focused on carbohydrates. However, many other resources can limit or shape microbial growth. Here, we provide a brief overview of the resource landscape in the mammalian gut and review relevant literature documenting associations between noncarbohydrate nutrients and the composition of the gut microbiota. To spur future work and accelerate translational applications, we propose that researchers take new approaches for studying the effects of diet on gut microbial communities, including more-careful consideration of media for in vitro experiments, measurement of absolute as well as relative abundances, concerted efforts to articulate how physiology may differ between humans and the animal models used in translational studies, and leveraging natural variation for additional insights. Finally, we close with a discussion of how to determine when or where to employ these potential dietary levers for manipulating the microbiota.
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Affiliation(s)
- Aspen T Reese
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- Society of Fellows, Harvard University, Cambridge, Massachusetts, USA
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
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19
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Zhang L, Carmody RN, Kalariya HM, Duran RM, Moskal K, Poulev A, Kuhn P, Tveter KM, Turnbaugh PJ, Raskin I, Roopchand DE. Grape proanthocyanidin-induced intestinal bloom of Akkermansia muciniphila is dependent on its baseline abundance and precedes activation of host genes related to metabolic health. J Nutr Biochem 2018; 56:142-151. [PMID: 29571008 DOI: 10.1016/j.jnutbio.2018.02.009] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 01/24/2018] [Accepted: 02/08/2018] [Indexed: 12/12/2022]
Abstract
We previously showed that C57BL/6J mice fed high-fat diet (HFD) supplemented with 1% grape polyphenols (GP) for 12 weeks developed a bloom of Akkermansia muciniphila with attenuated metabolic syndrome symptoms. Here we investigated early timing of GP-induced effects and the responsible class of grape polyphenols. Mice were fed HFD, low-fat diet (LFD) or formulations supplemented with GP (HFD-GP, LFD-GP) for 14 days. Mice fed HFD-GP, but not LFD-GP, showed improved oral glucose tolerance compared to controls. A. muciniphila bloom occurred earlier in mice fed LFD-GP than HFD-GP; however, timing was dependent on baseline A. muciniphila levels rather than dietary fat. Mice gavaged for 10 days with GP extract (GPE) or grape proanthocyanidins (PACs), each delivering 360 mg PACs/kg body weight, induced a bloom of fecal and cecal A. muciniphila, the rate of which depended on initial A. muciniphila abundance. Grape PACs were sufficient to induce a bloom of A. muciniphila independent of specific intestinal gene expression changes. Gut microbial community analysis and in vitro inhibition of A. muciniphila by GPE or PACs suggest that the A. muciniphila bloom in vivo occurs via indirect mechanisms.
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Affiliation(s)
- Li Zhang
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Rachel N Carmody
- Harvard University, Department of Human Evolutionary Biology, 11 Divinity Avenue, Cambridge, MA 02138
| | - Hetal M Kalariya
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Rocio M Duran
- Rutgers, The State University of New Jersey, Department of Food Science, Institute for Food Nutrition and Health, Center for Digestive Health, 61 Dudley Road, New Brunswick, NJ 08901, USA
| | - Kristin Moskal
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Alexander Poulev
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Peter Kuhn
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Kevin M Tveter
- Rutgers, The State University of New Jersey, Department of Food Science, Institute for Food Nutrition and Health, Center for Digestive Health, 61 Dudley Road, New Brunswick, NJ 08901, USA
| | - Peter J Turnbaugh
- University of California San Francisco, Department of Microbiology & Immunology, 513 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Ilya Raskin
- Rutgers, The State University of New Jersey, Department of Plant Biology, Foran Hall, 59 Dudley Road, New Brunswick, NJ 08901, USA
| | - Diana E Roopchand
- Rutgers, The State University of New Jersey, Department of Food Science, Institute for Food Nutrition and Health, Center for Digestive Health, 61 Dudley Road, New Brunswick, NJ 08901, USA.
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20
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Abstract
Humans have been argued to be biologically adapted to a cooked diet, but this hypothesis has not been tested at the molecular level. Here, we combine controlled feeding experiments in mice with comparative primate genomics to show that consumption of a cooked diet influences gene expression and that affected genes bear signals of positive selection in the human lineage. Liver gene expression profiles in mice fed standardized diets of meat or tuber were affected by food type and cooking, but not by caloric intake or consumer energy balance. Genes affected by cooking were highly correlated with genes known to be differentially expressed in liver between humans and other primates, and more genes in this overlap set show signals of positive selection in humans than would be expected by chance. Sequence changes in the genes under selection appear before the split between modern humans and two archaic human groups, Neandertals and Denisovans, supporting the idea that human adaptation to a cooked diet had begun by at least 275,000 years ago.
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Affiliation(s)
| | - Michael Dannemann
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Adrian W Briggs
- Department of Human Evolutionary Biology, Harvard University AbVitro Inc, Boston, Massachusetts
| | - Birgit Nickel
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Emily E Groopman
- Department of Human Evolutionary Biology, Harvard University Columbia College of Physicians and Surgeons, New York, New York
| | | | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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21
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Abstract
Although the importance of human genetic polymorphisms in therapeutic outcomes is well established, the role of our 'second genome' (the microbiome) has been largely overlooked. In this Review, we highlight recent studies that have shed light on the mechanisms that link the human gut microbiome to the efficacy and toxicity of xenobiotics, including drugs, dietary compounds and environmental toxins. Continued progress in this area could enable more precise tools for predicting patient responses and for the development of a new generation of therapeutics based on, or targeted at, the gut microbiome. Indeed, the admirable goal of precision medicine may require us to first understand the microbial pharmacists within.
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Affiliation(s)
- Peter Spanogiannopoulos
- Department of Microbiology & Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Ave, San Francisco, CA 94143, USA
| | - Elizabeth N. Bess
- Department of Microbiology & Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Ave, San Francisco, CA 94143, USA
| | - Rachel N. Carmody
- Department of Microbiology & Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Ave, San Francisco, CA 94143, USA
| | - Peter J. Turnbaugh
- Department of Microbiology & Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Ave, San Francisco, CA 94143, USA
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22
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Roopchand DE, Carmody RN, Kuhn P, Moskal K, Rojas-Silva P, Turnbaugh PJ, Raskin I. Dietary Polyphenols Promote Growth of the Gut Bacterium Akkermansia muciniphila and Attenuate High-Fat Diet-Induced Metabolic Syndrome. Diabetes 2015; 64:2847-58. [PMID: 25845659 PMCID: PMC4512228 DOI: 10.2337/db14-1916] [Citation(s) in RCA: 430] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 03/28/2015] [Indexed: 12/12/2022]
Abstract
Dietary polyphenols protect against metabolic syndrome, despite limited absorption and digestion, raising questions about their mechanism of action. We hypothesized that one mechanism may involve the gut microbiota. To test this hypothesis, C57BL/6J mice were fed a high-fat diet (HFD) containing 1% Concord grape polyphenols (GP). Relative to vehicle controls, GP attenuated several effects of HFD feeding, including weight gain, adiposity, serum inflammatory markers (tumor necrosis factor [TNF]α, interleukin [IL]-6, and lipopolysaccharide), and glucose intolerance. GP lowered intestinal expression of inflammatory markers (TNFα, IL-6, inducible nitric oxide synthase) and a gene for glucose absorption (Glut2). GP increased intestinal expression of genes involved in barrier function (occludin) and limiting triglyceride storage (fasting-induced adipocyte factor). GP also increased intestinal gene expression of proglucagon, a precursor of proteins that promote insulin production and gut barrier integrity. 16S rRNA gene sequencing and quantitative PCR of cecal and fecal samples demonstrated that GP dramatically increased the growth of Akkermansia muciniphila and decreased the proportion of Firmicutes to Bacteroidetes, consistent with prior reports that similar changes in microbial community structure can protect from diet-induced obesity and metabolic disease. These data suggest that GP act in the intestine to modify gut microbial community structure, resulting in lower intestinal and systemic inflammation and improved metabolic outcomes. The gut microbiota may thus provide the missing link in the mechanism of action of poorly absorbed dietary polyphenols.
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Affiliation(s)
- Diana E Roopchand
- School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ Nutrasorb, LLC, North Brunswick, NJ
| | - Rachel N Carmody
- G.W. Hooper Research Foundation, University of California, San Francisco, San Francisco, CA
| | - Peter Kuhn
- School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ
| | | | - Patricio Rojas-Silva
- School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ
| | - Peter J Turnbaugh
- G.W. Hooper Research Foundation, University of California, San Francisco, San Francisco, CA
| | - Ilya Raskin
- School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ
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23
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Smith AR, Carmody RN, Dutton RJ, Wrangham RW. The significance of cooking for early hominin scavenging. J Hum Evol 2015; 84:62-70. [PMID: 25962548 DOI: 10.1016/j.jhevol.2015.03.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 02/27/2015] [Accepted: 03/28/2015] [Indexed: 11/19/2022]
Abstract
Meat scavenged by early Homo could have contributed importantly to a higher-quality diet. However, it has been suggested that because carrion would normally have been contaminated by bacteria it would have been dangerous and therefore eaten rarely prior to the advent of cooking. In this study, we quantified bacterial loads on two tissues apparently eaten by hominins, meat and bone marrow. We tested the following three hypotheses: (1) the bacterial loads on exposed surfaces of raw meat increase within 24 h to potentially dangerous levels, (2) simple roasting of meat on hot coals kills most bacteria, and (3) fewer bacteria grow on marrow than on meat, making marrow a relatively safe food. Our results supported all three hypotheses. Our experimental data imply that early hominins would have found it difficult to scavenge safely without focusing on marrow, employing strategies of carrion selection to minimize pathogen load, or cooking.
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Affiliation(s)
- Alex R Smith
- Department of Human Evolutionary Biology, 11 Divinity Ave., Harvard University, Cambridge, MA 02138, USA.
| | - Rachel N Carmody
- FAS Center for Systems Biology, 52 Oxford Street, Harvard University, Cambridge, MA 02138, USA
| | - Rachel J Dutton
- FAS Center for Systems Biology, 52 Oxford Street, Harvard University, Cambridge, MA 02138, USA
| | - Richard W Wrangham
- Department of Human Evolutionary Biology, 11 Divinity Ave., Harvard University, Cambridge, MA 02138, USA
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24
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Carmody RN, Gerber GK, Luevano JM, Gatti DM, Somes L, Svenson KL, Turnbaugh PJ. Diet dominates host genotype in shaping the murine gut microbiota. Cell Host Microbe 2014; 17:72-84. [PMID: 25532804 DOI: 10.1016/j.chom.2014.11.010] [Citation(s) in RCA: 713] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 10/03/2014] [Accepted: 11/07/2014] [Indexed: 12/30/2022]
Abstract
Mammals exhibit marked interindividual variations in their gut microbiota, but it remains unclear if this is primarily driven by host genetics or by extrinsic factors like dietary intake. To address this, we examined the effect of dietary perturbations on the gut microbiota of five inbred mouse strains, mice deficient for genes relevant to host-microbial interactions (MyD88(-/-), NOD2(-/-), ob/ob, and Rag1(-/-)), and >200 outbred mice. In each experiment, consumption of a high-fat, high-sugar diet reproducibly altered the gut microbiota despite differences in host genotype. The gut microbiota exhibited a linear dose response to dietary perturbations, taking an average of 3.5 days for each diet-responsive bacterial group to reach a new steady state. Repeated dietary shifts demonstrated that most changes to the gut microbiota are reversible, while also uncovering bacteria whose abundance depends on prior consumption. These results emphasize the dominant role that diet plays in shaping interindividual variations in host-associated microbial communities.
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Affiliation(s)
- Rachel N Carmody
- FAS Center for Systems Biology, Harvard University, 52 Oxford Street, Cambridge, MA 02138, USA; Department of Microbiology and Immunology, Hooper Foundation, University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Georg K Gerber
- Center for Clinical and Translational Metagenomics, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA
| | - Jesus M Luevano
- FAS Center for Systems Biology, Harvard University, 52 Oxford Street, Cambridge, MA 02138, USA
| | - Daniel M Gatti
- The Jackson Laboratory, 610 Main Street, Bar Harbor, ME 04609, USA
| | - Lisa Somes
- The Jackson Laboratory, 610 Main Street, Bar Harbor, ME 04609, USA
| | - Karen L Svenson
- The Jackson Laboratory, 610 Main Street, Bar Harbor, ME 04609, USA
| | - Peter J Turnbaugh
- FAS Center for Systems Biology, Harvard University, 52 Oxford Street, Cambridge, MA 02138, USA; Department of Microbiology and Immunology, Hooper Foundation, University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA.
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25
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Groopman EE, Carmody RN, Wrangham RW. Cooking increases net energy gain from a lipid-rich food. Am J Phys Anthropol 2014; 156:11-8. [PMID: 25293786 DOI: 10.1002/ajpa.22622] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 09/10/2014] [Indexed: 11/08/2022]
Abstract
Starch, protein, and lipid are three major sources of calories in the human diet. The unique and universal human practice of cooking has been demonstrated to increase the energy gained from foods rich in starch or protein. Yet no studies have tested whether cooking has equivalent effects on the energy gained from lipid-rich foods. Using mice as a model, we addressed this question by examining the impact of cooking on the energy gained from peanuts, a lipid-rich oilseed, and compared this impact against that of nonthermal processing (blending). We found that cooking consistently increased the energy gained per calorie, whereas blending had no detectable energetic benefits. Assessment of fecal fat excretion showed increases in lipid digestibility when peanuts were cooked, and examination of diet microstructure revealed concomitant alterations to the integrity of cell walls and the oleosin layer of proteins that otherwise shield lipids from digestive lipases. Both effects were consistent with the greater energy gain observed with cooking. Our findings highlight the importance of cooking in increasing dietary energy returns for humans, both past and present.
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Affiliation(s)
- Emily E Groopman
- Department of Human Evolutionary Biology, Peabody Museum, Harvard University, Cambridge, MA, 02138; Columbia College of Physicians and Surgeons, New York, NY, 10032
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26
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Abstract
Our associated microbial communities play a critical role in human health and predisposition to disease, but the degree to which they also shape therapeutic interventions is not well understood. Here, we integrate results from classic and current studies of the direct and indirect impacts of the gut microbiome on the metabolism of therapeutic drugs and diet-derived bioactive compounds. We pay particular attention to microbial influences on host responses to xenobiotics, adding to the growing consensus that treatment outcomes reflect our intimate partnership with the microbial world, and providing an initial framework from which to consider a more comprehensive view of pharmacology and nutrition.
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27
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David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature 2013; 505:559-63. [PMID: 24336217 PMCID: PMC3957428 DOI: 10.1038/nature12820] [Citation(s) in RCA: 5986] [Impact Index Per Article: 544.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2013] [Accepted: 10/29/2013] [Indexed: 11/10/2022]
Abstract
Long-term diet influences the structure and activity of the trillions of
microorganisms residing in the human gut1–5, but it
remains unclear how rapidly and reproducibly the human gut microbiome responds
to short-term macronutrient change. Here, we show that the short-term
consumption of diets composed entirely of animal or plant products alters
microbial community structure and overwhelms inter-individual differences in
microbial gene expression. The animal-based diet increased the abundance of
bile-tolerant microorganisms (Alistipes, Bilophila, and
Bacteroides) and decreased the levels of Firmicutes that
metabolize dietary plant polysaccharides (Roseburia, Eubacterium
rectale, and Ruminococcus bromii). Microbial
activity mirrored differences between herbivorous and carnivorous
mammals2, reflecting
trade-offs between carbohydrate and protein fermentation. Foodborne microbes
from both diets transiently colonized the gut, including bacteria, fungi, and
even viruses. Finally, increases in the abundance and activity of
Bilophila wadsworthia on the animal-based diet support a
link between dietary fat, bile acids, and the outgrowth of microorganisms
capable of triggering inflammatory bowel disease6. In concert, these results demonstrate that the
gut microbiome can rapidly respond to altered diet, potentially facilitating the
diversity of human dietary lifestyles.
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Affiliation(s)
- Lawrence A David
- 1] FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA [2] Society of Fellows, Harvard University, Cambridge, Massachusetts 02138, USA [3] Molecular Genetics & Microbiology and Institute for Genome Sciences & Policy, Duke University, Durham, North Carolina 27708, USA
| | - Corinne F Maurice
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Rachel N Carmody
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - David B Gootenberg
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Julie E Button
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Benjamin E Wolfe
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Alisha V Ling
- Division of Endocrinology, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - A Sloan Devlin
- Department of Bioengineering & Therapeutic Sciences and the California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94158, USA
| | - Yug Varma
- Department of Bioengineering & Therapeutic Sciences and the California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94158, USA
| | - Michael A Fischbach
- Department of Bioengineering & Therapeutic Sciences and the California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94158, USA
| | - Sudha B Biddinger
- Division of Endocrinology, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Rachel J Dutton
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Peter J Turnbaugh
- FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA
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28
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Abstract
The mammalian gut microbiota influences both sides of the energy balance equation, salvaging energy from undigested nutrients and directing the host to accumulate adipose tissue. Semova et al. (2012) use zebrafish to demonstrate that the gut microbiota also promotes dietary lipid absorption, emphasizing the many host-microbial interactions contributing to adiposity.
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Affiliation(s)
- Rachel N Carmody
- FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA
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29
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Abstract
Processing food extensively by thermal and nonthermal techniques is a unique and universal human practice. Food processing increases palatability and edibility and has been argued to increase energy gain. Although energy gain is a well-known effect from cooking starch-rich foods, the idea that cooking meat increases energy gain has never been tested. Moreover, the relative energetic advantages of cooking and nonthermal processing have not been assessed, whether for meat or starch-rich foods. Here, we describe a system for characterizing the energetic effects of cooking and nonthermal food processing. Using mice as a model, we show that cooking substantially increases the energy gained from meat, leading to elevations in body mass that are not attributable to differences in food intake or activity levels. The positive energetic effects of cooking were found to be superior to the effects of pounding in both meat and starch-rich tubers, a conclusion further supported by food preferences in fasted animals. Our results indicate significant contributions from cooking to both modern and ancestral human energy budgets. They also illuminate a weakness in current food labeling practices, which systematically overestimate the caloric potential of poorly processed foods.
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Affiliation(s)
- Rachel N Carmody
- Department of Human Evolutionary Biology, Peabody Museum, Harvard University, Cambridge, MA 02138, USA.
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30
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Abstract
For our body size, humans exhibit higher energy use yet reduced structures for mastication and digestion of food compared to chimpanzees, our closest living relatives. This suite of features suggests that humans are adapted to a high-quality diet. Although increased consumption of meat during human evolution certainly contributed to dietary quality, meat-eating alone appears to be insufficient to support the evolution of these traits, because modern humans fare poorly on raw diets that include meat. Here, we suggest that cooking confers physical and chemical benefits to food that are consistent with observed human dietary adaptations. We review evidence showing that cooking facilitates mastication, increases digestibility, and otherwise improves the net energy value of plant and animal foods regularly consumed by humans. We also address the likelihood that cooking was adopted more than 250,000 years ago (kya), a period that we believe is sufficient in length for the proposed adaptations to have occurred. Additional experimental work is needed to help discriminate the relative contributions of cooking, meat eating, and other innovations such as nonthermal food processing in supporting the human transition toward dietary quality.
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Affiliation(s)
- R N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
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31
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Abstract
While cooking has long been argued to improve the diet, the nature of the improvement has not been well defined. As a result, the evolutionary significance of cooking has variously been proposed as being substantial or relatively trivial. In this paper, we evaluate the hypothesis that an important and consistent effect of cooking food is a rise in its net energy value. The pathways by which cooking influences net energy value differ for starch, protein, and lipid, and we therefore consider plant and animal foods separately. Evidence of compromised physiological performance among individuals on raw diets supports the hypothesis that cooked diets tend to provide energy. Mechanisms contributing to energy being gained from cooking include increased digestibility of starch and protein, reduced costs of digestion for cooked versus raw meat, and reduced energetic costs of detoxification and defence against pathogens. If cooking consistently improves the energetic value of foods through such mechanisms, its evolutionary impact depends partly on the relative energetic benefits of non-thermal processing methods used prior to cooking. We suggest that if non-thermal processing methods such as pounding were used by Lower Palaeolithic Homo, they likely provided an important increase in energy gain over unprocessed raw diets. However, cooking has critical effects not easily achievable by non-thermal processing, including the relatively complete gelatinisation of starch, efficient denaturing of proteins, and killing of food borne pathogens. This means that however sophisticated the non-thermal processing methods were, cooking would have conferred incremental energetic benefits. While much remains to be discovered, we conclude that the adoption of cooking would have led to an important rise in energy availability. For this reason, we predict that cooking had substantial evolutionary significance.
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Affiliation(s)
- Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
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