The DOI matches its Crossref record; 86 of the 87 references it cites were found in a registry or an index.
Revisiting Metchnikoff: Age-related alterations in microbiota-gut-brain axis in the mouse
Open accessAbstract
Over the last decade, there has been increased interest in the role of the gut microbiome in health including brain health. This is by no means a new theory; Elie Metchnikoff proposed over a century ago that targeting the gut by consuming lactic acid bacteria such as those in yogurt, could improve or delay the onset of cognitive decline associated with ageing. However, there is limited information characterising the relationship between the behavioural and physiological sequelae of ageing and alterations in the gut microbiome. To this end, we assessed the behavioural, physiological and caecal microbiota profile of aged male mice. Older mice (20-21months old) exhibited deficits in spatial memory and increases in anxiety-like behaviours compared to younger mice (2-3months old). They also exhibited increased gut permeability, which was directly correlated with elevations in peripheral pro-inflammatory cytokines. Furthermore, stress exacerbated the gut permeability of aged mice. Examination of the caecal microbiota revealed significant increases in phylum TM7, family Porphyromonadaceae and genus Odoribacter of aged mice. This represents a shift of aged microbiota towards a profile previously associated with inflammatory disease, particularly gastrointestinal and liver disorders. Furthermore, Porphyromonadaceae, which has also been associated with cognitive decline and affective disorders, was directly correlated with anxiety-like behaviour in aged mice. These changes suggest that changes in the gut microbiota and associated increases in gut permeability and peripheral inflammation may be important mediators of the impairments in behavioural, affective and cognitive functions seen in 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 cited source says what the claim attributes to it.
In the citing paper
“aged mice have a higher relative abundance of Porphyromonadaceae and that the levels of this family correlate with increased anxiety-like behavior”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Scott et al., 2017
In the citing paper
“Sequencing studies showing associations between particular gut microbiota profiles and various diseases in humans, along with studies modifying the gut bacterial composition in animal models, by probiotic administration or microbiota transfer, implicate the gut microbiota as a key regulator of systemic homeostasis, including neuroinflammation and behavioral disorders [16, 106].”
From Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain (2022) · cites this paper as [106]
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
Validation of open:closed arm entries in an elevated plus-maze as a measure of anxiety in the rat
Pellow, S., Chopin, P., File, S. E., & Briley, M. (1985) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(85)90031-7 · Cited by 5,822
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
Self-citationMicroglia-mediated neurotoxicity: uncovering the molecular mechanisms
Block, M. L., Zecca, L., & Hong, J.-S. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2038 · Cited by 4,110
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569
Gut microbiota composition correlates with diet and health in the elderly
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., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
Self-citationBehavioural despair in rats: A new model sensitive to antidepressant treatments
Porsolt, R. D., Anton, G., Blavet, N., & Jalfre, M. (1978) · European Journal of Pharmacology · doi:10.1016/0014-2999(78)90118-8 · Cited by 3,138
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
The novel object recognition memory: neurobiology, test procedure, and its modifications
Antunes, M., & Biala, G. (2012) · Cognitive Processing · doi:10.1007/s10339-011-0430-z · Cited by 2,390
Altered fecal microbiota composition in patients with major depressive disorder
Jiang, H., Ling, Z., Zhang, Y., Mao, H., Ma, Z., Yin, Y., Wang, W., Tang, W., Tan, Z., Shi, J., et al. (2015) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2015.03.016 · Cited by 2,275
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
Self-citation
Flagged first, then by citations
1 of the 87 references couldn’t be matched to a known paper.
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
Self-citationThe 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
Self-citationThevaranjan, 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
van de Wouw, M., Boehme, M., Lyte, J. M., Wiley, N., Strain, C., O'Sullivan, O., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2018) · The Journal of Physiology · doi:10.1113/jp276431 · Cited by 789
Self-citationKim, M.-S., Kim, Y., Choi, H., Kim, W., Park, S., Lee, D., Kim, D. K., Kim, H. J., Choi, H., Hyun, D.-W., et al. (2020) · Gut · doi:10.1136/gutjnl-2018-317431 · Cited by 614
Metadata
- Authors
- Scott, K. A., Ida, M., Peterson, V. L., Prenderville, J. A., Moloney, G. M., Izumo, T., Murphy, K., Murphy, A., Ross, R. P., Stanton, C., Dinan, T. G., & Cryan, J. F.
- Affiliations
- University College Cork (IE)
- Suntory (Japan) (JP)
- Teagasc - The Irish Agriculture and Food Development Authority (IE)
- Corresponding author
- Cryan, John F.
- ORCID
- Venue
- Brain, Behavior, and Immunity
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 65
- Pages
- 20-32
- ISSN
- 0889-1591 (ISSN-L)
- OpenAlex
- W2585159410
- Cited by
- 202
- References
- 87
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 21 · 2023: 15 · 2022: 32 · 2021: 27 · 2020: 24 · 2019: 34 · 2018: 20 · 2017: 11
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 300 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Brain Behavior and Immunity (acceptedVersion)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion, cc-by-nc-nd)
- Funders
- Science Foundation Ireland
- SFI
- Health Research Board (12)
- Department of Agriculture, Food & the Marine
- Enterprise Ireland
- APC Microbiome Institute
- University College Cork
- AstraZeneca
- Mead Johnson
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- gut microbiota, microbiota-gut-brain axis, aging, cognitive decline, spatial memory, anxiety-like behavior, intestinal permeability, peripheral inflammation, inflammatory cytokines, Porphyromonadaceae, Odoribacter, cecal microbiota, stress, lactic acid bacteria, mouse model
- MeSH terms
- Gastrointestinal Microbiome, Age Factors, Animals, Anxiety, Behavior, Animal, Brain, Cognition, Inflammation, Male, Mice, Inbred C57BL, Cytokines, Porphyromonas, Gastrointestinal Tract, Mice, Microbiota
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
