The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, given that the gut microbiome shapes the function of the host immune system and exerts systemic metabolic effects, it appears possible to extend lifespan by manipulating the composition and functionality of the complex and dynamic intestinal bacterial ecosystem of the human body (Claesson et al., 2012; Ottaviani et al., 2011).”
From The Hallmarks of Aging (2013) · cites this paper as Claesson et al., 2012
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, given that the gut microbiome shapes the function of the host immune system and exerts systemic metabolic effects, it appears possible to extend lifespan by manipulating the composition and functionality of the complex and dynamic intestinal bacterial ecosystem of the human body (Claesson et al., 2012; Ottaviani et al., 2011).”
From The Hallmarks of Aging (2013) · cites this paper as Claesson et al., 2012
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“the ELDERMET study reported breakthrough research in which age-related shifts in gut microbiota composition were linked to various functional health measures, including frailty, cognition, depression, and inflammatory markers”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Claesson et al., 2012
The cited source says what the claim attributes to it.
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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 the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
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
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
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
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
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
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
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
Human nutrition, the gut microbiome and the immune system
Kau, A. L., Ahern, P. P., Griffin, N. W., Goodman, A. L., & Gordon, J. I. (2011) · Nature · doi:10.1038/nature10213 · Cited by 2,588
Research works printed but not linked: 36
- O’Toole, P. W. & Claesson, M. J. Gut microbiota: changes throughout the lifespan from infancy to elderly. Int. Dairy J. 20, 281–291 (2010) · DOI
- Frank, D. N. et al. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc. Natl Acad. Sci. USA 104, 13780–13785 (2007) · DOI · Paper page
- Rajilić-Stojanović, M. et al. Development and application of the human intestinal tract chip, a phylogenetic microarray: analysis of universally conserved phylotypes in the abundant microbiota of young and elderly adults. Environ. Microbiol. 11, 1736–1751 (2009) · DOI · Paper page
- Claesson, M. J. et al. Composition, variability, and temporal stability of the intestinal microbiota of the elderly. Proc. Natl Acad. Sci. USA 108 (Suppl 1). 4586–4591 (2011) · DOI · Paper page
- Franceschi, C. et al. Inflamm-aging: an evolutionary perspective on immunosenescence. Ann. NY Acad. Sci. 908, 244–254 (2000) · DOI · Paper page
- Garrett, W. S., Gordon, J. I. & Glimcher, L. H. Homeostasis and inflammation in the intestine. Cell 140, 859–870 (2010) · DOI
- Guigoz, Y., Dore, J. & Schiffrin, E. J. The inflammatory status of old age can be nurtured from the intestinal environment. Curr. Opin. Clin. Nutr. Metab. Care 11, 13–20 (2008) · DOI
- Lovat, L. B. Age related changes in gut physiology and nutritional status. Gut 38, 306–309 (1996) · DOI
- Mai, V., McCrary, Q. M., Sinha, R. & Glei, M. Associations between dietary habits and body mass index with gut microbiota composition and fecal water genotoxicity: an observational study in African American and Caucasian American volunteers. Nutr. J. 8, 49 (2009) · DOI
- Faith, J. J., McNulty, N. P., Rey, F. E. & Gordon, J. I. Predicting a human gut microbiota’s response to diet in gnotobiotic mice. Science 333, 101–104 (2011) · DOI
- Wu, G. D. et al. Linking long-term dietary patterns with gut microbial enterotypes. Science 334, 105–108 (2011) · DOI · Paper page
- Drescher, L. S., Thiele, S. & Mensink, G. B. A new index to measure healthy food diversity better reflects a healthy diet than traditional measures. J. Nutr. 137, 647–651 (2007) · DOI
- Jansson, J. et al. Metabolomics reveals metabolic biomarkers of Crohn’s disease. PLoS ONE 4, e6386 (2009) · DOI
- Pryde, S. E., Duncan, S. H., Hold, G. L., Stewart, C. S. & Flint, H. J. The microbiology of butyrate formation in the human colon. FEMS Microbiol. Lett. 217, 133–139 (2002) · DOI · Paper page
- 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) · DOI · Paper page
- Mahoney, F. I. & Barthel, D. W. Functional evaluation: the Barthel index. Md. State Med. J. 14, 61–65 (1965)
- Kidd, D. et al. The functional independence measure: a comparative validity and reliability study. Disabil. Rehabil. 17, 10–14 (1995) · DOI
- Bauer, J. M., Kaiser, M. J., Anthony, P., Guigoz, Y. & Sieber, C. C. The mini nutritional assessment–its history, today’s practice, and future perspectives. Nutr. Clin. Pract. 23, 388–396 (2008) · DOI
- Cruz-Jentoft, A. J. et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing 39, 412–423 (2010) · DOI · Paper page
- Nyamundanda, G., Brennan, L. & Gormley, I. C. Probabilistic principal component analysis for metabolomic data. BMC Bioinformatics 11, 571 (2010) · DOI
- Wang, Z. et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature 472, 57–63 (2011) · DOI · Paper page
- Arumugam, M. et al. Enterotypes of the human gut microbiome. Nature 473, 174–180 (2011) · DOI · Paper page
- Kinsella, K. & He, W. An Aging World: 2008 (US Government Printing Office, 2009)
- Walker, A. W. et al. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J. 5, 220–230 (2011) · DOI · Paper page
- Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007) · DOI
- Harrington, J. et al. Sociodemographic, health and lifestyle predictors of poor diets. Public Health Nutr. 14, 2166–2175 (2011) · DOI
- McCance, R. A. & Widdowson, E. M. The composition of foods 6th edn (Royal Soc. Chemistry, 2002)
- Claesson, M. J. et al. Comparative analysis of pyrosequencing and a phylogenetic microarray for exploring microbial community structures in the human distal intestine. PLoS ONE 4, e6669 (2009) · DOI
- Lilburn, T. G. & Garrity, G. M. Exploring prokaryotic taxonomy. Int. J. Syst. Evol. Microbiol. 54, 7–13 (2004) · DOI
- Caporaso, J. G. et al. PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics 26, 266–267 (2010) · DOI
- Hamady, M., Lozupone, C. & Knight, R. Fast UniFrac: facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data. ISME J. 4, 17–27 (2010) · DOI
- Namiki, T., Hachiya, T., Tanaka, H. & Sakakibara, Y. in ACM Conference on Bioinformatics Computational Biology and Biomedicine (Association for Computing Machinery, 2011)
- Chevreux, B. et al. Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs. Genome Res. 14, 1147–1159 (2004) · DOI
- Noguchi, H., Park, J. & Takagi, T. MetaGene: prokaryotic gene finding from environmental genome shotgun sequences. Nucleic Acids Res. 34, 5623–5630 (2006) · DOI
- Koenker, R. & Basset, G. Regression quantiles. Econometrica 46, 33–50 (1978) · DOI
- Feng, X. D., He, X. M. & Hu, J. H. Wild bootstrap for quantile regression. Biometrika 98, 995–999 (2011) · DOI
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
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
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
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
Introduction to the human gut microbiota
Thursby, E., & Juge, N. (2017) · Biochemical Journal · doi:10.1042/bcj20160510 · Cited by 3,600
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
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
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
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
“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
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
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
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
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
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
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
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
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
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
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
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
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
Self-citationBlanco-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
Inflammation 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
“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
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
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
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
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
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
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
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
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
Self-citationO’Toole, P. W., & Jeffery, I. B. (2015) · Science · doi:10.1126/science.aac8469 · Cited by 1,202
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
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
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
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
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
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
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
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
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
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
Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance
Zhang, X., Shen, D., Fang, Z., Jie, Z., Qiu, X., Zhang, C., Chen, Y., & Ji, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071108 · Cited by 946
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
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
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
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
The Gut Microbiota and Alzheimer’s Disease
Jiang, C., Li, G., Huang, P., Liu, Z., & Zhao, B. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-161141 · Cited by 852
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
“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].”
BackgroundEffect 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
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
Regulation 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
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
Self-citationGut 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
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
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
Self-citationMicrobiota-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
Generation 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
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
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
Rook, G. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313731110 · Cited by 760
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Review article: dietary fibre-microbiota interactions
Simpson, H. L., & Campbell, B. J. (2015) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13248 · Cited by 602
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
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
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
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
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
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
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
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
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
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
SER-109, an Oral Microbiome Therapy for Recurrent Clostridioides difficile 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
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
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
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
Inflammation: the link between comorbidities, genetics, and Alzheimer’s disease
Newcombe, E. A., Camats-Perna, J., Silva, M. L., Valmas, N., Huat, T. J., & Medeiros, R. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1313-3 · Cited by 532
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
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
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
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
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
Chapter 12: Human Microbiome Analysis
Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496
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
Metadata
- 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
- 17
- 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 (medical) › 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