Gut microbiota composition correlates with diet and health in the elderly
Open accessAbstract
Alterations in intestinal microbiota composition are associated with several chronic conditions, including obesity and inflammatory diseases. The microbiota of older people displays greater inter-individual variation than that of younger adults. Here we show that the faecal microbiota composition from 178 elderly subjects formed groups, correlating with residence location in the community, day-hospital, rehabilitation or in long-term residential care. However, clustering of subjects by diet separated them by the same residence location and microbiota groupings. The separation of microbiota composition significantly correlated with measures of frailty, co-morbidity, nutritional status, markers of inflammation and with metabolites in faecal water. The individual microbiota of people in long-stay care was significantly less diverse than that of community dwellers. Loss of community-associated microbiota correlated with increased frailty. Collectively, the data support a relationship between diet, microbiota and health status, and indicate a role for diet-driven microbiota alterations in varying rates of health decline upon ageing.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Older adults over 65 years exhibit reduced microbiota diversity compared to adults, along with greater inter-individual variation in microbiota composition.
“Older adults (>65 years) exhibit reduced microbiota diversity compared to adults, along with greater inter-individual variation in microbiota composition.182”
From Inflammation and aging: signaling pathways and intervention therapies (2023) · cites this paper as [182]
The introductory discussion (p. 5) says that microbiota in people over 65 is highly variable between individuals and differs from younger adults in diversity levels, but it does not say that diversity is lower. The summary (p. 3) explicitly reports greater inter-individual variation; its finding of lower diversity applies to long-stay residents compared with community-dwelling older adults, not to older adults compared with younger adults. (LLM, conf=0.88)
Experimental — accuracy not yet measuredAt both extremes of life, the microbiota is characteristically different from the typical adult gut microbiota in both levels of diversity and representation of specific taxa.
“At both extremes of life, the microbiota is characteristically different from the typical adult gut microbiota in both levels of diversity and representation of specific taxa (Claesson et al., 2012;Salazar et al., 2014;Yatsunenko et al., 2012).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Claesson et al., 2012
The introduction (p. 5) says that older persons’ microbiota differs from younger adults’ in core composition and diversity, supporting the claim about the later extreme of life. The study includes younger adult controls but does not address infants or early-life microbiota, so it does not support the claim about both extremes. (LLM, conf=0.87)
Experimental — accuracy not yet measuredChanges in the aging intestinal microbiota can adversely affect host metabolism and immunity and are associated with development of cardiovascular, autoimmune, metabolic, and neurodegenerative disorders.
“These changes can adversely affect the host metabolism and immunity [25–27, 40, 64, 86, 110, 112, 118] and are associated with the development of cardiovascular, autoimmune, metabolic, and neurodegenerative disorders [17, 90, 122, 132].”
From Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain (2022) · cites this paper as [26]
In 178 older men and women in Ireland, dietary diversity was significantly associated with improved health parameters, with the low fat/high fibre group having the most diverse diet and microbial profile, and moderate fat/low fibre and high fat/low fibre groups the least.
“They found that dietary diversity was significantly associated with improved health parameters, with the grouping “low fat/high fibre” considered to have the most diverse diet and microbial profile, and “moderate fat/low fibre” and “high fat/low fibre” groupings the least [81].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [81]
The Healthy Food Diversity index (HFD) was positively correlated with three microbiota diversity indices.
“Likewise, the Healthy Food Diversity index (HFD) was shown to be positively correlated with three microbiota diversity indices [81].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [81]
Gut microbiota are affected by environmental factors such as dietary intakes, which may in turn influence blood levels of TMAO and its precursors.
“Fourth, the gut microbiota are affected by environmental factors37, 38 such as dietary intakes,39, 40, 41 which may, in turn, influence blood levels of TMAO and its precursors.4”
From Gut Microbiota Metabolites and Risk of Major Adverse Cardiovascular Disease Events and Death: A Systematic Review and Meta‐Analysis of Prospective Studies (2017) · cites this paper as [39]
Increased microbial richness at the taxonomic or gene level is associated with diets higher in fruits, vegetables, and fiber.
“A number of studies have associated increased microbial richness, at either the taxonomic or gene level, with diets higher in fruits, vegetables, and fiber42-44.”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [42]
In elderly individuals, differences in intestinal microbiota taxonomy are associated with residence environment; the most extreme differences between community residence and long-term residential care are attributed to diet, with community residents consuming more fiber and less fat.
“differences in the taxonomy of the intestinal microbiota were associated with residence in different environments. The most extreme differences were observed in community residence vs long-term residential care, attributed to differences in diet—community residents typically consume diets higher in fiber and lower in fat42.”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [42]
Co-abundance groups were associated with health status in elderly individuals, and diets higher in fruits, vegetables, and fiber were linked to lower frailty.
“Co-abundance groups were associated with the health status of elderly individuals—diets higher in fruits, vegetable, and fiber (associated with community residence) were linked to lower levels of frailty.”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [42]
Diet-associated bacterial clades called co-abundance groups included Bacteroides and Prevotella.
“Diet-associated bacterial clades, called “co-abundance groups”, included Bacteroides and Prevotella (Figure 2).”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [42]
There is growing evidence that high fat intake rather than obesity per se had a direct effect on the microbiota and linked clinical parameters.
“there is growing evidence that the high fat intake rather than obesity per se had a direct effect on the microbiota and linked clinical parameters.26”
From The gut microbiota and host health: a new clinical frontier (2016) · cites this paper as [26]
Consumption of fibre, fruit and vegetables is associated with greater microbial richness at taxonomic or gene level.
“In addition, several studies have shown an association between consumption of fibre, fruit and vegetables and increased microbial richness, at either taxonomic or gene level.[12][13][14]”
From High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome (2016) · cites this paper as [12]
The Prevotella:Bacteroides ratio in these subjects was higher than that reported for elderly Irish, American and Danish adults.
“Remarkably, the Prevotella:Bacteroides ratio in these subjects was higher than reported for elderly Irish subjects, 12 American 11 and Danish adults, 65”
From High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome (2016) · cites this paper as [12]
Several studies, mainly cross-sectional, suggest an association between microbiota composition and frailty, mostly assessed according to the deficit accumulation model.
“However, several studies, mainly with a cross-sectional design, suggest an association between microbiota composition and frailty, mostly assessed according to the deficit accumulation model.”
From Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia (2019) · cites this paper as [114]
Frailty is associated with reduced microbiota biodiversity and lower representation of butyrate-producing bacteria.
“Namely, frailty was associated with reduced microbiota biodiversity, and lower representation of butyrate-producing bacteria.”
From Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia (2019) · cites this paper as [114]
In existing studies centered on older subjects, physical performance was evaluated in the context of frailty, operationalized according to the deficit accumulation model, mostly using the Rockwood Frailty Index.
“Namely, frailty was operationalized in accordance with the deficit accumulation model, and most studies used the Rockwood Frailty Index as the preferred method of assessment, overlooking more specific measures of muscle function or performance [47,114,115,116,117,118,119,120].”
From Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia (2019) · cites this paper as [114]
In large population studies, frailty was associated with reduced biodiversity of the fecal microbiota, partly dependent on different dietary patterns.
“In large population studies conducted on both fit community-dwellers and frail nursing home residents, frailty was associated with reduced biodiversity of the fecal microbiota, that was partly dependent on different dietary patterns [114,115].”
From Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia (2019) · cites this paper as [114]
Studies summarized in Table 2 support the existence of an association between frailty and fecal microbiota composition, though with different characteristics.
“The studies, summarized in Table 2, supported the existence of an association between frailty and fecal microbiota composition, though with different characteristics [47,114,115,116,117,118,119,120].”
From Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia (2019) · cites this paper as [114]
Data indicate a narrowing of diversity and distinctive microbiota configurations associated with ageing in long-stay care individuals compared with community dwellers.
“Data indicate a narrowing of diversity and distinctive microbiota configurations associated with ageing in long-stay care individuals compared with that of community dwellers (Claesson et al., 2012;Jeffery et al., 2016).”
From Gut reactions: Breaking down xenobiotic–microbiome interactions (2019) · cites this paper as Claesson et al., 2012
Increasing culture-independent omic-based technologies have facilitated the discovery of novel functional dynamics of microbiota and their relationship with host pathophysiology.
“Increasing culture-independent omic-based technologies such as biomarker sequencing, metagenomics, metatranscriptomics, metaproteomics, and metabolomics have facilitated the discovery of novel functional dynamics of microbiota2, 3, 4, 5 and their relationship with host pathophysiology.6, 7, 8, 9”
From Regulation of Intestinal Barrier Function by Microbial Metabolites (2021) · cites this paper as [9]
There is greater inter-individual variation in older adults than younger adults (<65 years old) in GM stability.
“Stability begins to decline as we age, and studies suggest that there is greater inter-individual variation in older adults than younger adults (<65 years old) (91, 92)”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [92]
Investigations of age-related changes in gut microbiota describe a bacterial community that is both less diverse and lacking in microorganisms responsible for the production of butyrate, and more abundant in pathogens belonging to the Proteobacteria phylum (e.g., Enterobacteriaceae).
“investigations of age-related changes in gut microbiota describe a bacterial community that is both less diverse and lacking in microorganisms responsible for the production of butyrate (indicative of gastrointestinal health) [15, 84, 98, 99], and more abundant in pathogens belonging to the Proteobacteria phylum (e.g., Enterobacteriaceae) [15, 68, 83].”
From Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis (2018) · cites this paper as [98]
Regular physical activity may help to combat reductions in butyrate-producing microbiota (Clostridiales, Roseburia, Lachnospiraceae, and Erysipelotrichaceae) and Lactobacillus levels that are commonly seen with aging.
“regular physical activity may help to combat reductions in butyrate-producing microbiota (Clostridiales, Roseburia, Lachnospiraceae, and Erysipelotrichaceae) [102] and Lactobacillus levels [103] that are commonly seen with aging [15, 84, 98].”
From Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis (2018) · cites this paper as [98]
In a larger sample of older adults, community-dwelling elders had more butyrate-producing microbes than those in long-stay residence.
“metagenomics findings in a larger sample of older adults (n = 178; ~ 78 years) [98] demonstrating that community-dwelling elders had more butyrate-producing microbes than those in long-stay residence.”
From Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis (2018) · cites this paper as [98]
Institutionalized elderly had a greater abundance of Enterobacteriaceae and Escherichia/Shigella, and less gut microbial diversity when compared with community dwellers.
“institutionalized elderly had a greater abundance of Enterobacteriaceae and Escherichia/Shigella, and less gut microbial diversity when compared with the community dwellers.”
From Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis (2018) · cites this paper as [98]
The more diverse the diet, the more diverse the microbiota, which was linked to improved health and reduced frailty.
“the more diverse the diet, the more diverse the microbiota, which was linked to improved health and reduced frailty”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Claesson et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624 · see citing works
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785 · see citing works
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227 · see citing works
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579 · see citing works
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · see citing works
Diet Drives Convergence in Gut Microbiome Functions Across Mammalian Phylogeny and Within Humans
Muegge, B. D., Kuczynski, J., Knights, D., Clemente, J. C., González, A., Fontana, L., Henrissat, B., Knight, R., & Gordon, J. I. (2011) · Science · doi:10.1126/science.1198719 · Cited by 1,988 · see citing works
High-Fat Diet Determines the Composition of the Murine Gut Microbiome Independently of Obesity
Hildebrandt, M. A., Hoffmann, C., Sherrill–Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y., Knight, R., Ahima, R. S., Bushman, F., & Wu, G. D. (2009) · Gastroenterology · doi:10.1053/j.gastro.2009.08.042 · Cited by 1,576 · see citing works
Kassinen, A., Krogius-Kurikka, L., Mäkivuokko, H., Rinttilä, T., Paulin, L., Corander, J., Malinen, E., Apajalahti, J., & Palva, A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.005 · Cited by 1,002 · see citing works
An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota
Jeffery, I. B., O'Toole, P. W., Öhman, L., Claesson, M. J., Deane, J., Quigley, E. M. M., & Simrén, M. (2012) · Gut · doi:10.1136/gutjnl-2011-301501 · Cited by 835 · see citing works
Self-citationFecal Microbiota Composition and Frailty
van Tongeren, S. P., Slaets, J. P. J., Harmsen, H. J. M., & Welling, G. W. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.10.6438-6442.2005 · Cited by 333 · see citing works
O'Sullivan, A., Gibney, M. J., & Brennan, L. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.000950 · Cited by 297 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- 2 Frank, D. N. et al. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc. Natl. Acad. Sci. U S A 104 , 1378013785, (2007).
- 8 Claesson, M. J. et al. Composition, variability, and temporal stability of the intestinal microbiota of the elderly. Proc. Natl. Acad. Sci. U S A 108 Suppl 1 , 4586-4591, (2011).
- 26 de Groot, V., Beckerman, H., Lankhorst, G. J. & Bouter, L. M. How to measure comorbidity. a critical review of available methods. J. Clin. Epidemiol. 56 , 221-229, (2003).
Cited by
Sorted by citations
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982 · see citing works
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · see citing works
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662 · see citing works
Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour
Cryan, J. F., & Dinan, T. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3346 · Cited by 4,572 · see citing works
Introduction to the human gut microbiota
Thursby, E., & Juge, N. (2017) · Biochemical Journal · doi:10.1042/bcj20160510 · Cited by 3,600 · see citing works
The Human Intestinal Microbiome in Health and Disease
Lynch, S. V., & Pedersen, O. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1600266 · Cited by 3,637 · see citing works
The gut microbiota influences blood-brain barrier permeability in mice
Braniste, V., Al-Asmakh, M., Kowal, C., Anuar, F., Abbaspour, A., Tóth, M., Korecka, A., Bakocevic, N., Ng, L. G., Kundu, P., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009759 · Cited by 2,530 · see citing works
Population-level analysis of gut microbiome variation
Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., Kurilshikov, A., Bonder, M. J., Valles-Colomer, M., Vandeputte, D., et al. (2016) · Science · doi:10.1126/science.aad3503 · Cited by 2,400 · see citing works
The gut microbiota and host health: a new clinical frontier
Marchesi, J. R., Adams, D. H., Fava, F., Hermes, G. D. A., Hirschfield, G. M., Hold, G., Quraishi, M. N., Kinross, J., Smidt, H., Tuohy, K. M., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-309990 · Cited by 2,302 · see citing works
“26 However, in humans the microbiome is exposed to fundamentally different ‘ environmental ’ factors in obese and lean individuals that go beyond BMI alone, including diet 26 and host hormonal factors.”
BackgroundSelf-citationGut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes
Zhao, L., Zhang, F., Ding, X., Wu, G., Lam, Y. Y., Wang, X., Fu, H., Xue, X., Lu, C., Ma, J., et al. (2018) · Science · doi:10.1126/science.aao5774 · Cited by 2,304 · see citing works
Probiotics and prebiotics in intestinal health and disease: from biology to the clinic
Sanders, M. E., Merenstein, D. J., Reid, G., Gibson, G. R., & Rastall, R. A. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0173-3 · Cited by 2,059 · see citing works
Artificial sweeteners induce glucose intolerance by altering the gut microbiota
Suez, J., Korem, T., Zeevi, D., Zilberman-Schapira, G., Thaiss, C. A., Maza, O., Israeli, D., Zmora, N., Gilad, S., Weinberger, A., et al. (2014) · Nature · doi:10.1038/nature13793 · Cited by 2,067 · see citing works
Serotonin, tryptophan metabolism and the brain-gut-microbiome axis
O’Mahony, S. M., Clarke, G., Borre, Y. E., Dinan, T. G., & Cryan, J. F. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.07.027 · Cited by 2,012 · see citing works
Dietary intervention impact on gut microbial gene richness
Cotillard, A., Kennedy, S. P., Kong, L. C., Prifti, E., Pons, N., Le Chatelier, E., Almeida, M., Quinquis, B., Levenez, F., Galleron, N., et al. (2013) · Nature · doi:10.1038/nature12480 · Cited by 1,832 · see citing works
You are what you eat: Diet, health and the gut microbiota
Zmora, N., Suez, J., & Elinav, E. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0061-2 · Cited by 1,792 · see citing works
De Filippis, F., Pellegrini, N., Vannini, L., Jeffery, I. B., La Storia, A., Laghi, L., Serrazanetti, D. I., Di Cagno, R., Ferrocino, I., Lazzi, C., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-309957 · Cited by 1,638 · see citing works
Self-citationThe gut microbiome in atherosclerotic cardiovascular disease
Jie, Z., Xia, H., Zhong, S.-L., Feng, Q., Li, S., Liang, S., Zhong, H., Liu, Z., Gao, Y., Zhao, H., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00900-1 · Cited by 1,638 · see citing works
The impact of diet and lifestyle on gut microbiota and human health
Conlon, M., & Bird, A. (2014) · Nutrients · doi:10.3390/nu7010017 · Cited by 1,567 · see citing works
Odamaki, T., Kato, K., Sugahara, H., Hashikura, N., Takahashi, S., Xiao, J.-Z., Abe, F., & Osawa, R. (2016) · BMC Microbiology · doi:10.1186/s12866-016-0708-5 · Cited by 1,521 · see citing works
Short-chain fatty acids: Linking diet, the microbiome and immunity
Mann, E. R., Lam, Y. K., & Uhlig, H. H. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01014-8 · Cited by 1,595 · see citing works
Blanco-Míguez, A., Beghini, F., Cumbo, F., McIver, L. J., Thompson, K. N., Zolfo, M., Manghi, P., Dubois, L., Huang, K. D., Thomas, A. M., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01688-w · Cited by 1,442 · see citing works
The central nervous system and the gut microbiome
Sharon, G., Sampson, T. R., Geschwind, D. H., & Mazmanian, S. K. (2016) · Cell · doi:10.1016/j.cell.2016.10.027 · Cited by 1,513 · see citing works
Exercise and associated dietary extremes impact on gut microbial diversity
Clarke, S. F., Murphy, E. F., O'Sullivan, O., Lucey, A. J., Humphreys, M., Hogan, A., Hayes, P., O'Reilly, M., Jeffery, I. B., Wood-Martin, R., et al. (2014) · Gut · doi:10.1136/gutjnl-2013-306541 · Cited by 1,439 · see citing works
Self-citationInflammation and aging: signaling pathways and intervention therapies
Li, X., Li, C., Zhang, W., Wang, Y., Qian, P., & Huang, H. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01502-8 · Cited by 1,443 · see citing works
“Older adults (>65 years) exhibit reduced microbiota diversity compared to adults, along with greater inter-individual variation in microbiota composition.(182) This is characterized by diminished populations of beneficial bacteria such as Bifidobacterium, Bacillus, E.”
BackgroundPotential of fecal microbiota for early-stage detection of colorectal cancer
Zeller, G., Tap, J., Voigt, A. Y., Sunagawa, S., Kultima, J. R., Costea, P. I., Amiot, A., Böhm, J., Brunetti, F., Habermann, N., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145645 · Cited by 1,375 · see citing works
The gut microbiome in neurological disorders
Cryan, J. F., O'Riordan, K. J., Sandhu, K., Peterson, V., & Dinan, T. G. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30356-4 · Cited by 1,336 · see citing works
Thevaranjan, N., Puchta, A., Schulz, C., Naidoo, A., Szamosi, J. C., Verschoor, C. P., Loukov, D., Schenck, L. P., Jury, J., Foley, K. P., et al. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2017.03.002 · Cited by 1,322 · see citing works
Colonic bacterial composition in Parkinson's disease
Keshavarzian, A., Green, S. J., Engen, P. A., Voigt, R. M., Naqib, A., Forsyth, C. B., Mutlu, E., & Shannon, K. M. (2015) · Movement Disorders · doi:10.1002/mds.26307 · Cited by 1,281 · see citing works
Psychobiotics: A novel class of psychotropic
Dinan, T. G., Stanton, C., & Cryan, J. F. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.05.001 · Cited by 1,287 · see citing works
Self-citationThe twilight of immunity: emerging concepts in aging of the immune system
Nikolich-Žugich, J. (2018) · Nature Immunology · doi:10.1038/s41590-017-0006-x · Cited by 1,240 · see citing works
Enterotypes in the landscape of gut microbial community composition
Costea, P. I., Hildebrand, F., Arumugam, M., Bäckhed, F., Blaser, M. J., Bushman, F. D., de Vos, W. M., Ehrlich, S. D., Fraser, C. M., Hattori, M., et al. (2017) · Nature Microbiology · doi:10.1038/s41564-017-0072-8 · Cited by 1,138 · see citing works
Self-citationO’Toole, P. W., & Jeffery, I. B. (2015) · Science · doi:10.1126/science.aac8469 · Cited by 1,202 · see citing works
Self-citationThe first 1000 cultured species of the human gastrointestinal microbiota
Rajilić-Stojanović, M., & de Vos, W. M. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12075 · Cited by 1,182 · see citing works
Minireview: Gut microbiota: The neglected endocrine organ
Clarke, G., Stilling, R. M., Kennedy, P. J., Stanton, C., Cryan, J. F., & Dinan, T. G. (2014) · Molecular Endocrinology · doi:10.1210/me.2014-1108 · Cited by 1,192 · see citing works
Self-citationThe microbiome-gut-brain axis in health and disease
Dinan, T. G., & Cryan, J. F. (2017) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2016.09.007 · Cited by 1,111 · see citing works
Age-dependent dysregulation of innate immunity
Shaw, A. C., Goldstein, D. R., & Montgomery, R. R. (2013) · Nature Reviews Immunology · doi:10.1038/nri3547 · Cited by 1,061 · see citing works
Kelly, J. R., Kennedy, P. J., Cryan, J. F., Dinan, T. G., Clarke, G., & Hyland, N. P. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00392 · Cited by 1,110 · see citing works
Microbiota and neurodevelopmental windows: implications for brain disorders
Borre, Y. E., O’Keeffe, G. W., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.05.002 · Cited by 1,089 · see citing works
Self-citationPsychobiotics and the manipulation of bacteria–gut–brain signals
Sarkar, A., Lehto, S. M., Harty, S., Dinan, T. G., Cryan, J. F., & Burnet, P. W. J. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.09.002 · Cited by 1,068 · see citing works
Gut Microbiota and Extreme Longevity
Biagi, E., Franceschi, C., Rampelli, S., Severgnini, M., Ostan, R., Turroni, S., Consolandi, C., Quercia, S., Scurti, M., Monti, D., et al. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.016 · Cited by 1,025 · see citing works
The influence of diet on the gut microbiota
Scott, K. P., Gratz, S. W., Sheridan, P. O., Flint, H. J., & Duncan, S. H. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.10.020 · Cited by 1,052 · see citing works
Franceschi, C., Garagnani, P., Vitale, G., Capri, M., & Salvioli, S. (2017) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2016.09.005 · Cited by 997 · see citing works
Ghosh, T. S., Rampelli, S., Jeffery, I. B., Santoro, A., Neto, M., Capri, M., Giampieri, E., Jennings, A., Candela, M., Turroni, S., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319654 · Cited by 991 · see citing works
Self-citationFrom gut dysbiosis to altered brain function and mental illness: mechanisms and pathways
Rogers, G. B., Keating, D. J., Young, R. L., Wong, M.-L., Licinio, J., & Wesselingh, S. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.50 · Cited by 969 · see citing works
Proton pump inhibitors alter the composition of the gut microbiota
Jackson, M. A., Goodrich, J. K., Maxan, M.-E., Freedberg, D. E., Abrams, J. A., Poole, A. C., Sutter, J. L., Welter, D., Ley, R. E., Bell, J. T., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-310861 · Cited by 895 · see citing works
Seasonal cycling in the gut microbiome of the Hadza hunter-gatherers of Tanzania
Smits, S. A., Leach, J., Sonnenburg, E. D., Gonzalez, C. G., Lichtman, J. S., Reid, G., Knight, R., Manjurano, A., Changalucha, J., Elias, J. E., et al. (2017) · Science · doi:10.1126/science.aan4834 · Cited by 886 · see citing works
Diet-microbiota interactions and personalized nutrition
Kolodziejczyk, A. A., Zheng, D., & Elinav, E. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0256-8 · Cited by 879 · see citing works
Romero, R., Hassan, S. S., Gajer, P., Tarca, A. L., Fadrosh, D. W., Nikita, L., Galuppi, M., Lamont, R. F., Chaemsaithong, P., Miranda, J., et al. (2014) · Microbiome · doi:10.1186/2049-2618-2-4 · Cited by 852 · see citing works
Archaea and fungi of the human gut microbiome: correlations with diet and bacterial residents
Hoffmann, C., Dollive, S., Grunberg, S., Chen, J., Li, H., Wu, G. D., Lewis, J. D., & Bushman, F. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066019 · Cited by 808 · see citing works
“Another study recently reported that the diversity of the gut microbiota was linked with long-term diet, where a more diverse diet was correlated with an increased gut bacterial diversity [19].”
BackgroundMicrobiota-Brain-Gut Axis and Neurodegenerative Diseases
Quigley, E. M. M. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0802-6 · Cited by 804 · see citing works
Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration
Leeming, E. R., Johnson, A. J., Spector, T. D., & Le Roy, C. I. (2019) · Nutrients · doi:10.3390/nu11122862 · Cited by 817 · see citing works
Probiotic species in the modulation of gut microbiota: An overview
Azad, M. A. K., Sarker, M., Li, T., & Yin, J. (2018) · BioMed Research International · doi:10.1155/2018/9478630 · Cited by 803 · see citing works
The gut microbiome as a modulator of healthy ageing
Ghosh, T. S., Shanahan, F., & O’Toole, P. W. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00605-x · Cited by 817 · see citing works
Self-citationRegulation of Intestinal Barrier Function by Microbial Metabolites
Ghosh, S., Whitley, C. S., Haribabu, B., & Jala, V. R. (2021) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2021.02.007 · Cited by 835 · see citing works
Miyake, S., Kim, S., Suda, W., Oshima, K., Nakamura, M., Matsuoka, T., Chihara, N., Tomita, A., Sato, W., Kim, S.-W., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137429 · Cited by 809 · see citing works
Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration
Dinan, T. G., & Cryan, J. F. (2017) · The Journal of Physiology · doi:10.1113/jp273106 · Cited by 813 · see citing works
Tumour-associated and non-tumour-associated microbiota in colorectal cancer
Flemer, B., Lynch, D. B., Brown, J. M. R., Jeffery, I. B., Ryan, F. J., Claesson, M. J., O'Riordain, M., Shanahan, F., & O'Toole, P. W. (2017) · Gut · doi:10.1136/gutjnl-2015-309595 · Cited by 804 · see citing works
Self-citationGeneration of genome-scale metabolic reconstructions for 773 members of the human gut microbiota
Magnúsdóttir, S., Heinken, A., Kutt, L., Ravcheev, D. A., Bauer, E., Noronha, A., Greenhalgh, K., Jäger, C., Baginska, J., Wilmes, P., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3703 · Cited by 798 · see citing works
Daily sampling reveals personalized diet-microbiome associations in humans
Johnson, A. J., Vangay, P., Al-Ghalith, G. A., Hillmann, B. M., Ward, T. L., Shields-Cutler, R. R., Kim, A. D., Shmagel, A. K., Syed, A. N., Walter, J., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.05.005 · Cited by 742 · see citing works
Metabolic Control of Longevity
López-Otín, C., Galluzzi, L., Freije, J. M. P., Madeo, F., & Kroemer, G. (2016) · Cell · doi:10.1016/j.cell.2016.07.031 · Cited by 753 · see citing works
Rook, G. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313731110 · Cited by 760 · see citing works
The oral microbiome: Role of key organisms and complex networks in oral health and disease
Sedghi, L., DiMassa, V., Harrington, A., Lynch, S. V., & Kapila, Y. L. (2021) · Periodontology 2000 · doi:10.1111/prd.12393 · Cited by 755 · see citing works
Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women
Hoyles, L., Fernández-Real, J.-M., Federici, M., Serino, M., Abbott, J., Charpentier, J., Heymes, C., Luque, J. L., Anthony, E., Barton, R. H., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0061-3 · Cited by 720 · see citing works
Kynurenine pathway metabolism and the microbiota-gut-brain axis
Kennedy, P. J., Cryan, J. F., Dinan, T. G., & Clarke, G. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.07.002 · Cited by 724 · see citing works
The effects of vegetarian and vegan diets on gut microbiota
Tomova, A., Bukovsky, I., Rembert, E., Yonas, W., Alwarith, J., Barnard, N. D., & Kahleova, H. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00047 · Cited by 713 · see citing works
Nutrients, foods, and colorectal cancer prevention
Song, M., Garrett, W. S., & Chan, A. T. (2015) · Gastroenterology · doi:10.1053/j.gastro.2014.12.035 · Cited by 700 · see citing works
So, D., Whelan, K., Rossi, M., Morrison, M., Holtmann, G., Kelly, J. T., Shanahan, E. R., Staudacher, H. M., & Campbell, K. L. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy041 · Cited by 683 · see citing works
Canonical Nlrp3 Inflammasome Links Systemic Low-Grade Inflammation to Functional Decline in Aging
Youm, Y.-H., Grant, R. W., McCabe, L. R., Albarado, D. C., Nguyen, K. Y., Ravussin, A., Pistell, P., Newman, S., Carter, R., Laque, A., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.09.010 · Cited by 674 · see citing works
Gut microbiome and aging: physiological and mechanistic insights
Nagpal, R., Mainali, R., Ahmadi, S., Wang, S., Singh, R., Kavanagh, K., Kitzman, D. W., Kushugulova, A., Marotta, F., & Yadav, H. (2018) · Nutrition and Healthy Aging · doi:10.3233/nha-170030 · Cited by 670 · see citing works
Our gut microbiome: The evolving inner self
Kundu, P., Blacher, E., Elinav, E., & Pettersson, S. (2017) · Cell · doi:10.1016/j.cell.2017.11.024 · Cited by 633 · see citing works
Novel bile acid biosynthetic pathways are enriched in the microbiome of centenarians
Sato, Y., Atarashi, K., Plichta, D. R., Arai, Y., Sasajima, S., Kearney, S. M., Suda, W., Takeshita, K., Sasaki, T., Okamoto, S., et al. (2021) · Nature · doi:10.1038/s41586-021-03832-5 · Cited by 632 · see citing works
Exercise Modifies the Gut Microbiota with Positive Health Effects
Monda, V., Villano, I., Messina, A., Valenzano, A., Esposito, T., Moscatelli, F., Viggiano, A., Cibelli, G., Chieffi, S., Monda, M., et al. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/3831972 · Cited by 654 · see citing works
The role of the microbiome in cancer development and therapy
Bhatt, A. P., Redinbo, M. R., & Bultman, S. J. (2017) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21398 · Cited by 653 · see citing works
Salonen, A., Lahti, L., Salojärvi, J., Holtrop, G., Korpela, K., Duncan, S. H., Date, P., Farquharson, F., Johnstone, A. M., Lobley, G. E., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.63 · Cited by 626 · see citing works
Microbial genes, brain & behaviour – epigenetic regulation of the gut–brain axis
Stilling, R. M., Dinan, T. G., & Cryan, J. F. (2014) · Genes, Brain and Behavior · doi:10.1111/gbb.12109 · Cited by 637 · see citing works
Review article: dietary fibre-microbiota interactions
Simpson, H. L., & Campbell, B. J. (2015) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13248 · Cited by 602 · see citing works
Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease
Albenberg, L. G., & Wu, G. D. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.01.058 · Cited by 606 · see citing works
Fate, activity, and impact of ingested bacteria within the human gut microbiota
Derrien, M., & van Hylckama Vlieg, J. E. T. (2015) · Trends in Microbiology · doi:10.1016/j.tim.2015.03.002 · Cited by 605 · see citing works
Wan, Y., Wang, F., Yuan, J., Li, J., Jiang, D., Zhang, J., Li, H., Wang, R., Tang, J., Huang, T., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-317609 · Cited by 598 · see citing works
Immunosenescence and inflammaging in the aging process: age-related diseases or longevity?
Santoro, A., Bientinesi, E., & Monti, D. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101422 · Cited by 603 · see citing works
Evolution of gut microbiota composition from birth to 24 weeks in the INFANTMET Cohort
Hill, C. J., Lynch, D. B., Murphy, K., Ulaszewska, M., Jeffery, I. B., O’Shea, C. A., Watkins, C., Dempsey, E., Mattivi, F., Tuohy, K., et al. (2017) · Microbiome · doi:10.1186/s40168-016-0213-y · Cited by 573 · see citing works
Self-citationLiu, R. T., Walsh, R. F. L., & Sheehan, A. E. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.023 · Cited by 564 · see citing works
Effect of Diet and Dietary Components on the Composition of the Gut Microbiota
Beam, A., Clinger, E., & Hao, L. (2021) · Nutrients · doi:10.3390/nu13082795 · Cited by 576 · see citing works
Collective unconscious: How gut microbes shape human behavior
Dinan, T. G., Stilling, R. M., Stanton, C., & Cryan, J. F. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.02.021 · Cited by 571 · see citing works
Self-citationHeianza, Y., Ma, W., Manson, J. E., Rexrode, K. M., & Qi, L. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004947 · Cited by 544 · see citing works
The gut microbiome in human neurological disease: A review
Tremlett, H., Bauer, K. C., Appel‐Cresswell, S., Finlay, B. B., & Waubant, E. (2017) · Annals of Neurology · doi:10.1002/ana.24901 · Cited by 535 · see citing works
SER-109, an Oral Microbiome Therapy for Recurrent <i>Clostridioides difficile</i> Infection
Feuerstadt, P., Louie, T. J., Lashner, B., Wang, E. E. L., Diao, L., Bryant, J. A., Sims, M., Kraft, C. S., Cohen, S. H., Berenson, C. S., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2106516 · Cited by 558 · see citing works
The Gut Microbiome, Aging, and Longevity: A Systematic Review
Badal, V. D., Vaccariello, E. D., Murray, E. R., Yu, K. E., Knight, R., Jeste, D. V., & Nguyen, T. T. (2020) · Nutrients · doi:10.3390/nu12123759 · Cited by 551 · see citing works
Koren, O., Knights, D., Gonzalez, A., Waldron, L., Segata, N., Knight, R., Huttenhower, C., & Ley, R. E. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002863 · Cited by 508 · see citing works
Clark, R. I., Salazar, A., Yamada, R., Fitz-Gibbon, S., Morselli, M., Alcaraz, J., Rana, A., Rera, M., Pellegrini, M., Ja, W. W., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.08.004 · Cited by 510 · see citing works
Gut microbiota and dysbiosis in Alzheimer's disease: Implications for pathogenesis and treatment
Liu, S., Gao, J., Zhu, M., Liu, K., & Zhang, H.-L. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-02073-3 · Cited by 516 · see citing works
Wu, G. D., Compher, C., Chen, E. Z., Smith, S. A., Shah, R. D., Bittinger, K., Chehoud, C., Albenberg, L. G., Nessel, L., Gilroy, E., et al. (2016) · Gut · doi:10.1136/gutjnl-2014-308209 · Cited by 512 · see citing works
Role of gut microbiota and nutrients in amyloid formation and pathogenesis of Alzheimer disease
Pistollato, F., Sumalla Cano, S., Elio, I., Masias Vergara, M., Giampieri, F., & Battino, M. (2016) · Nutrition Reviews · doi:10.1093/nutrit/nuw023 · Cited by 496 · see citing works
Gut microbiota composition and activity in relation to host metabolic phenotype and disease risk
Holmes, E., Li, J. V., Marchesi, J. R., & Nicholson, J. K. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.10.007 · Cited by 490 · see citing works
Self-citationDifferences in gut microbiota profile between women with active lifestyle and sedentary women
Bressa, C., Bailén-Andrino, M., Pérez-Santiago, J., González-Soltero, R., Pérez, M., Montalvo-Lominchar, M. G., Maté-Muñoz, J. L., Domínguez, R., Moreno, D., & Larrosa, M. (2017) · PLOS ONE · doi:10.1371/journal.pone.0171352 · Cited by 501 · see citing works
Chapter 12: Human Microbiome Analysis
Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496 · see citing works
Interactions between gut bacteria and bile in health and disease
Long, S. L., Gahan, C. G. M., & Joyce, S. A. (2017) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2017.06.002 · Cited by 495 · see citing works
Intestinal microbiota, diet and health
Power, S. E., O'Toole, P. W., Stanton, C., Ross, R. P., & Fitzgerald, G. F. (2014) · British Journal Of Nutrition · doi:10.1017/s0007114513002560 · Cited by 476 · see citing works
Self-citationGut microbiota: A player in aging and a target for anti-aging intervention
Vaiserman, A. M., Koliada, A. K., & Marotta, F. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.01.001 · Cited by 465 · see citing works
Can physical activity ameliorate immunosenescence and thereby reduce age-related multi-morbidity?
Duggal, N. A., Niemiro, G., Harridge, S. D. R., Simpson, R. J., & Lord, J. M. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0177-9 · Cited by 436 · see citing works
- Authors
- Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., Fitzgerald, G. F., Deane, J., O’Connor, M., Harnedy, N., O’Connor, K., O’Mahony, D., van Sinderen, D., Wallace, M., Brennan, L., Stanton, C., Marchesi, J. R., Fitzgerald, A. P., Shanahan, F., Hill, C., Ross, R. P., & O’Toole, P. W.
- Affiliations
- University College Cork (IE)
- Teagasc - The Irish Agriculture and Food Development Authority (IE)
- Cork University Hospital (IE)
- South Infirmary Victoria University Hospital (IE)
- University College Dublin (IE)
- Cardiff University (GB)
- Corresponding author
- O’Toole, Paul W.
- ORCID
- Venue
- Nature
- Published
- 2012-07-13
- Volume
- 488
- Issue
- 7410
- Pages
- 178-184
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2088170171
- Cited by
- 3,314
- References
- 13
- Citations by year
- 2026: 176 · 2025: 209 · 2024: 240 · 2023: 231 · 2022: 322 · 2021: 318 · 2020: 310 · 2019: 278 · 2018: 214 · 2017: 244 · 2016: 220 · 2015: 183 · 2014: 167 · 2013: 158 · 2012: 35
- FWCI
- 69.86
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Keywords
- gut microbiota, older adults, diet, frailty, long-term residential care, community-dwelling older adults, microbiome diversity, inflammation, nutritional status, comorbidities, aging
- MeSH terms
- Aged, Aged, 80 and over, Aging, Diet, Diet Surveys, Feces, Fruit, Health, Health Status, Health Surveys, Homes for the Aged, Hospitals, Community, Humans, Intestines, Meat, Surveys and Questionnaires, Rehabilitation Centers, Vegetables, Cohort Studies, Geriatric Assessment, Metagenome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review