Preliminary evidence for an association between the composition of the gut microbiome and cognitive function in neurologically healthy older adults
Open accessAbstract
OBJECTIVES: Dysbiosis of the gut microbiome is implicated in numerous human health conditions. Animal studies have linked microbiome disruption to changes in cognitive functioning, although no study has examined this possibility in neurologically healthy older adults. METHODS: Participants were 43 community-dwelling older adults (50-85 years) that completed a brief cognitive test battery and provided stool samples for gut microbiome sequencing. Participants performing≥1 SD below normative performance on two or more tests were compared to persons with one or fewer impaired scores. RESULTS: Mann Whitney U tests revealed different distributions of Bacteroidetes (p=.01), Firmicutes (p=.02), Proteobacteria (p=.04), and Verrucomicrobia (p=.003) between Intact and Impaired groups. These phyla were significantly correlated with cognitive test performances, particularly Verrucomicrobia and attention/executive function measures. CONCLUSIONS: The current findings suggest that composition of the gut microbiome is associated with cognitive test performance in neurologically healthy older adults. Future studies are needed to confirm these findings and explore possible mechanisms. (JINS, 2017, 23, 700-705).
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Human studies comparing the composition of the GM of elderly participants suffering from cognitive impairment with healthy individuals indicate significant changes in GM composition, specifically an increase in pro-inflammatory taxa and a reduction in anti-inflammatory taxa.
“Human studies comparing the composition of the GM of elderly participants suffering from cognitive impairment with healthy individuals indicate significant changes in GM composition. Specifically, there is an increase in pro-inflammatory taxa and a reduction in anti-inflammatory taxa (104–109).”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [106]
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Cites
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
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,820 · see citing works
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277 · see citing works
The FAB: A frontal assessment battery at bedside
Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000) · Neurology · doi:10.1212/wnl.55.11.1621 · Cited by 3,913 · see citing works
A framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650 · see citing works
The hopkins verbal learning test: Development of a new memory test with six equivalent forms
Brandt, J. (1991) · Clinical Neuropsychologist · doi:10.1080/13854049108403297 · Cited by 1,317 · see citing works
Psychobiotics 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
Braun, M., Tupper, D. E., Kaufmann, P., McCrea, M., Postal, K., Westerveld, M., Wills, K., & Deer, T. M. (2011) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0b013e3182351289 · Cited by 1,062 · see citing works
Gut microbiome, obesity, and metabolic dysfunction
Tilg, H., & Kaser, A. (2011) · Journal of Clinical Investigation · doi:10.1172/jci58109 · Cited by 860 · see citing works
Gut microbiota depletion from early adolescence in mice: implications for brain and behaviour
Desbonnet, L., Clarke, G., Traplin, A., O’Sullivan, O., Crispie, F., Moloney, R. D., Cotter, P. D., Dinan, T. G., & Cryan, J. F. (2015) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2015.04.004 · Cited by 760 · see citing works
The Rapid Assessment of Physical Activity (RAPA) among older adults.
Topolski, T. D., LoGerfo, J. P., Patrick, D. L., Williams, B., Walwick, J., & Patrick, M. B. (2006) · Europe PMC (PubMed Central) · Cited by 661 · see citing works
Obese-type gut microbiota induce neurobehavioral changes in the absence of obesity
Bruce-Keller, A. J., Salbaum, J. M., Luo, M., Blanchard, E., Taylor, C. M., Welsh, D. A., & Berthoud, H.-R. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.07.012 · Cited by 563 · see citing works
Linkage of gut microbiome with cognition in hepatic encephalopathy
Bajaj, J. S., Ridlon, J. M., Hylemon, P. B., Thacker, L. R., Heuman, D. M., Smith, S., Sikaroodi, M., & Gillevet, P. M. (2012) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00190.2011 · Cited by 547 · see citing works
DIKMEN, S. S., Heaton, R. K., Grant, I., & Temkin, N. R. (1999) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617799544056 · Cited by 473 · see citing works
Sherwin, E., Sandhu, K. V., Dinan, T. G., & Cryan, J. F. (2016) · CNS Drugs · doi:10.1007/s40263-016-0370-3 · Cited by 297 · see citing works
Mulligan, A. A., Luben, R., Bhaniani, A., Parry-Smith, D. J., O’Connor, L., Khawaja, A. P., Forouhi, N. G., & Khaw, K. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004503 · Cited by 250 · see citing works
Relationships between diet-related changes in the gut microbiome and cognitive flexibility
Magnusson, K. R., Hauck, L., Jeffrey, B. M., Elias, V., Humphrey, A., Nath, R., Perrone, A., & Bermudez, L. E. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.05.016 · Cited by 225 · see citing works
Trollor, J. N., Smith, E., Agars, E., Kuan, S. A., Baune, B. T., Campbell, L. V., Samaras, K., Crawford, J., Lux, O., Kochan, N. A., et al. (2011) · AGE · doi:10.1007/s11357-011-9301-x · Cited by 204 · see citing works
Base Rates of “Impaired” Neuropsychological Test Performance Among Healthy Older Adults
Palmer, B. (1998) · Archives of Clinical Neuropsychology · doi:10.1016/s0887-6177(97)00037-1 · Cited by 142 · see citing works
Loring, D. W., Martin, R. C., Meador, K. J., & Lee, G. P. (1990) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/5.1.1 · Cited by 136 · see citing works
Elderly patients have an altered gut-brain axis regardless of the presence of cirrhosis
Bajaj, J. S., Ahluwalia, V., Steinberg, J. L., Hobgood, S. E., Boling, P. A., Godschalk, M., Habib, S., White, M. B., Fagan, A., Gavis, E. A., et al. (2016) · Scientific Reports · doi:10.1038/srep38481 · Cited by 59 · see citing works
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Cited by
Sorted by citations
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
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
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
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
Microbiota-Gut-Brain Axis: New Therapeutic Opportunities
Long-Smith, C., O'Riordan, K. J., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2020) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010919-023628 · Cited by 419 · see citing works
Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis
Rusch, J. A., Layden, B. T., & Dugas, L. R. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1130689 · Cited by 415 · see citing works
Challenges and opportunities for grounding cognition.
Barsalou, L. W. (2020) · Journal of Cognition · doi:10.5334/joc.116 · Cited by 319 · see citing works
Diet, inflammation and the gut microbiome: mechanisms for obesity-associated cognitive impairment
Leigh, S.-J., & Morris, M. J. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165767 · Cited by 221 · see citing works
Wasser, C. I., Mercieca, E.-C., Kong, G., Hannan, A. J., McKeown, S. J., Glikmann-Johnston, Y., & Stout, J. C. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa110 · Cited by 198 · see citing works
The role of the gut microbiota in the metabolism of polyphenols as characterized by gnotobiotic mice
Pasinetti, G. M., Singh, R., Westfall, S., Herman, F., Faith, J., & Ho, L. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171151 · Cited by 112 · see citing works
Association of the gut microbiota with cognitive function in midlife
Meyer, K., Lulla, A., Debroy, K., Shikany, J. M., Yaffe, K., Meirelles, O., & Launer, L. J. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.43941 · Cited by 110 · see citing works
Nuzum, N. D., Loughman, A., Szymlek-Gay, E. A., Hendy, A., Teo, W.-P., & Macpherson, H. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.003 · Cited by 103 · see citing works
The intestinal microbiome and its relevance for functionality in older persons
Ticinesi, A., Tana, C., & Nouvenne, A. (2019) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000521 · Cited by 80 · see citing works
Heinberg, L. J., Bond, D. S., Carroll, I., Crosby, R., Fodor, A., Fouladi, F., Gunstad, J., Mitchell, J., Peat, C., & Steffen, K. (2020) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2020.06.020 · Cited by 43 · see citing works
Self-citation
- Authors
- Manderino, L., Carroll, I., Azcarate-Peril, M. A., Rochette, A., Heinberg, L., Peat, C., Steffen, K., Mitchell, J., & Gunstad, J.
- Affiliations
- Kent State University (US)
- University of North Carolina at Chapel Hill (US)
- Cleveland Clinic Lerner College of Medicine (US)
- North Dakota State University (US)
- University of North Dakota (US)
- Corresponding author
- Gunstad, John
- ORCID
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2017-06-23
- Volume
- 23
- Issue
- 8
- Pages
- 700-705
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- PMC
- PMC6111127
- OpenAlex
- W2635986780
- Cited by
- 125
- References
- 25
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 19 · 2023: 21 · 2022: 16 · 2021: 13 · 2020: 16 · 2019: 7 · 2018: 7 · 2017: 1
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of the International Neuropsychological Society (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Kent State University
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK034987, P30DK056350)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- gut microbiota, cognitive function, older adults, dysbiosis, Verrucomicrobia, Bacteroidetes, Firmicutes, Proteobacteria, attention, executive function, cognitive impairment
- MeSH terms
- Gastrointestinal Microbiome, Aged, Aged, 80 and over, Attention, Cognition, Female, Humans, Language, Male, Memory, Middle Aged, Neuropsychological Tests, Executive Function
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