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
Items 101–200 of 203
Cai, G., Lu, Y., Chen, J., Yang, D., Yan, R., Ren, M., He, S., Wu, S., & Zhao, Y. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100478 · Cited by 33
Strain differences in behaviour and immunity in aged mice: Relevance to Autism
O’Connor, R., van de Wouw, M., Moloney, G. M., Ventura‐Silva, A. P., O’Riordan, K. J., Golubeva, A. V., Dinan, T. G., Schellekens, H., & Cryan, J. F. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.113020 · Cited by 25
Self-citationPriori, E. C., Ratto, D., Luca, F. D., Sandionigi, A., Savino, E., Giammello, F., Romeo, M., Brandalise, F., Roda, E., & Rossi, P. (2023) · Biology · doi:10.3390/biology13010018 · Cited by 28
Caruso, M. G., Nicolas, S., Lucassen, P. J., Mul, J. D., O’Leary, O. F., & Nolan, Y. M. (2024) · Brain Plasticity · doi:10.3233/bpl-230157 · Cited by 25
A Perspective on Roles Played by Immunosenescence in the Pathobiology of Alzheimer's Disease
Zhao, Y. G., Zhan, J., & Liu, Y. (2020) · Aging and Disease · doi:10.14336/ad.2020.0205 · Cited by 23
Evrensel, A., Ünsalver, B. Ö., & Ceylan, M. E. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9721-0_28 · Cited by 23
Zhang, Y., Cheng, L., Liu, Y., Zhan, S., Wu, Z., Luo, S., & Zhang, X. (2022) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.12151 · Cited by 23
Gut-Brain Axis Deregulation and Its Possible Contribution to Neurodegenerative Disorders
Villavicencio-Tejo, F., Olesen, M. A., Navarro, L., Calisto, N., Iribarren, C., GARCÍA, K. P., Corsini, G., & Quintanilla, R. A. (2023) · Neurotoxicity Research · doi:10.1007/s12640-023-00681-0 · Cited by 24
Infiltrating macrophages contribute to age-related neuroinflammation in C57/BL6 mice
Wolfe, H. E., Minogue, A. M., Rooney, S., & Lynch, M. A. (2018) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2018.05.003 · Cited by 24
Jian, Y., Cheng, L., Hong, Y., Li, Z., Li, C., Ban, X., Zhu, L., & Gu, Z. (2023) · Nutrients · doi:10.3390/nu15245080 · Cited by 24
Role of microbiota-gut-brain axis in natural aging-related alterations in behavior
Jing, Y., Wang, Q., Bai, F., Li, Z., Li, Y., Liu, W., Yan, Y., Zhang, S., Chen, G., & Yu, Y. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1362239 · Cited by 24
Horizons in Human Aging Neuroscience: From Normal Neural Aging to Mental (Fr)Agility
Ridderinkhof, K. R., & Krugers, H. J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.815759 · Cited by 25
Tian, J., Du, J., Han, J., Song, X., & Lü, Z. (2020) · Marine Mammal Science · doi:10.1111/mms.12728 · Cited by 20
The Pathological Mechanism Between the Intestine and Brain in the Early Stage of Parkinson's Disease
Yang, R., Gao, G., & Yang, H. M. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.861035 · Cited by 24
Cruz-Pereira, J. S., Moloney, G. M., Bastiaanssen, T. F. S., Boscaini, S., Tofani, G. S. S., Borràs-Bisa, J., van de Wouw, M., Fitzgerald, P., Dinan, T. G., Clarke, G. A., et al. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100501 · Cited by 20
Self-citationGlover, M. E., Cohen, J. L., Singer, J. R., Sabbagh, M. N., Rainville, J. R., Hyland, M., Morrow, C. D., Weaver, C. T., Hodes, G. E., Kerman, I. A., et al. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.01.030 · Cited by 18
Tung, T.-H., Chen, Y., Lin, Y., & Huang, S. (2022) · Biomedicines · doi:10.3390/biomedicines10071594 · Cited by 19
Effect of Nutrition on Age-Related Metabolic Markers and the Gut Microbiota in Cats
Ephraim, E., & Jewell, D. E. (2021) · Microorganisms · doi:10.3390/microorganisms9122430 · Cited by 18
Du, Y., Chen, J., Liu, Q., Fu, J.-C., Lin, C.-X., Lin, L., Hong, L., Qu, Y., & Ji, X. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.771527 · Cited by 18
Ye, H., Ghosh, T. S., Hueston, C. M., Vlčková, K., Golubeva, A. V., Hyland, N. P., & O’Toole, P. W. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2282796 · Cited by 19
Reemst, K., Tims, S., Yam, K., Mischke, M., Knol, J., Brul, S., Schipper, L., & Kőrösi, A. (2022) · mSystems · doi:10.1128/msystems.00180-22 · Cited by 19
Pan, S. C., Ward, D. V., Yin, Y., Hu, Y., Elfawal, M. A., Clark, R. E., & Aroian, R. V. (2019) · Scientific Reports · doi:10.1038/s41598-019-44301-4 · Cited by 18
Therapeutic effects of total saikosaponins from Radix bupleuri against Alzheimer’s disease
Li, J., Zou, B., Cheng, X.-Y., Yang, X.-H., Li, J., Zhao, C.-H., Ma, R., Tian, J., & Yao, Y. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.940999 · Cited by 16
Age-associated deficits in social behaviour are microbiota-dependent
Cruz-Pereira, J. S., Moloney, G. M., Bastiaanssen, T. F. S., Boscaini, S., Fitzgerald, P., Clarke, G. A., & Cryan, J. F. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.02.008 · Cited by 17
Self-citationLu, Y., Xu, K., Lin, D., Wang, S., Fu, R., Deng, X., Croppi, G., & Zhang, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.964429 · Cited by 18
The endocannabinoid system: a bridge between alzheimer’s disease and gut microbiota
Bisogno, T., Lauritano, A., & Piscitelli, F. (2021) · Life · doi:10.3390/life11090934 · Cited by 16
Ketogenic Diet and Gut Microbiota: Exploring New Perspectives on Cognition and Mood
Jiang, Y., Chen, Y., Chen, Y., Gong, X., Chen, Z., & Zhang, X. (2025) · Foods · doi:10.3390/foods14071215 · Cited by 15
Yang, J., Deng, Y., Cai, Y., Liu, Y., Peng, L., Luo, Z., & Li, D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1048565 · Cited by 16
Microbiome Alterations and Alzheimer’s Disease: Modeling Strategies with Transgenic Mice
López-Villodres, J. A., Escamilla, A., Mercado-Sáenz, S., Alba-Tercedor, C., Rodríguez‐Pérez, L., Arranz‐Salas, I., Sanchez-Varo, R. M., & Bermúdez, D. (2023) · Biomedicines · doi:10.3390/biomedicines11071846 · Cited by 16
Wang, Y., Nie, J., Yan, K., Wang, J., Wang, X., & Zhao, Y. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1458484 · Cited by 17
Vetreno, R. P., Massey, V. L., & Crews, F. T. (2019) · Addiction Biology · doi:10.1111/adb.12869 · Cited by 15
Mougin, C., Chataigner, M., Lucas, C., Leyrolle, Q., Pallet, V., Layé, S., Bouvret, E., Dinel, A., & Joffre, C. (2023) · Foods · doi:10.3390/foods12234199 · Cited by 16
Fecal microbiota in the female prairie vole (Microtus ochrogaster)
Curtis, J. T., Assefa, S., Francis, A., & Köhler, G. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190648 · Cited by 15
Bidô, R. D. C. D. A., Pereira, D. E., Alves, M. D. C., Dutra, L. M. G., Costa, A. C. D. S., Viera, V., de Araujo, W. J., Leite, E. L., de Oliveira, C. J. B., Alves, A. F., et al. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.05.046 · Cited by 13
Is the fountain of youth in the gut microbiome?
Cryan, J. F., Boehme, M., & Dinan, T. G. (2019) · The Journal of Physiology · doi:10.1113/jp277784 · Cited by 14
Self-citationHost Microbiota Regulates Central Nervous System Serotonin Receptor 2C Editing in Rodents
van de Wouw, M., Stilling, R. M., Peterson, V. L., Ryan, F. J., Hoban, A. E., Shanahan, F., Clarke, G. A., Claesson, M. J., Dinan, T. G., Cryan, J. F., et al. (2019) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.9b00414 · Cited by 13
Self-citationLiang, Z., Jia, Y., Zhao, L., Zhu, R., He, X., Tong, B., Yang, F., Hao, L., Cui, P., & Yuan, J. (2021) · Aging · doi:10.18632/aging.203586 · Cited by 12
Discrete patterns of microbiome variability across timescales in a wild rodent population
Fenn, J., Taylor, C. H., Goertz, S., Wanelik, K. M., Paterson, S., Begon, M., Jackson, J., & Bradley, J. (2023) · BMC Microbiology · doi:10.1186/s12866-023-02824-x · Cited by 11
Lataro, R. M., Imori, P. F. M., Santos, E. D. S., Silva, L. E. V., Duarte, R. T. D., Silva, C. A. A., Falcão, J. P., Paton, J. F. R., & Salgado, H. C. (2019) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00018.2019 · Cited by 11
Forsyth, C. B., Shaikh, M. W., Engen, P. A., Preuss, F., Naqib, A. D., Palmen, B. A., Green, S. J., Zhang, L., Bogin, Z. R., Lawrence, K. M., et al. (2024) · Frontiers in Aging · doi:10.3389/fragi.2024.1352299 · Cited by 11
Khandayataray, P., & Murthy, M. K. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.11.020 · Cited by 11
Tian, J., Du, J., Zhang, S., Li, Y., Gao, X., Han, J., & Lü, Z. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1190 · Cited by 10
The Impact of IgA and the Microbiota on CNS Disease
Pu, A., Lee, D. S. W., Isho, B., Naouar, I., & Gommerman, J. L. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.742173 · Cited by 10
Martin, M., Boulaire, M., Lucas, C., Peltier, A., Pourtau, L., Gaudout, D., Layé, S., Pallet, V., Joffre, C., & Dinel, A. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.09.015 · Cited by 9
Effects of Vegetable and Fruit Juicing on Gut and Oral Microbiome Composition
Sardaro, M. L. S., Grote, V. E., Baik, J., Atallah, M., Amato, K. R., & Ring, M. R. (2025) · Nutrients · doi:10.3390/nu17030458 · Cited by 12
Yang, X., Chen, D., Chen, T., Zhao, J., Xiaocui, T., Guo, Y., Shuai, O., Deng, T., & Guoyan, H. (2019) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2019/9306834 · Cited by 10
Parker, A., James, S. A., Purse, C., Brion, A., Goldson, A. J., Telatin, A., Baker, D., & Carding, S. R. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.828429 · Cited by 8
Miyaho, K., Sanada, K., Kurokawa, S., Tanaka, A., Tachibana, T., Ishii, C., Noda, Y., Nakajima, S., Fukuda, S., Mimura, M., et al. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12111827 · Cited by 12
Colonic bacterial composition is sex-specific in aged CD-1 mice fed diets varying in fat quality
Unger, A. L., Eckstrom, K. M., Jetton, T. L., & Kraft, J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226635 · Cited by 9
Liu, J., Zhang, Y., Li, X., Hou, Z., Wang, B., Chen, L., & Chen, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-02292-5 · Cited by 10
Demystifying the role of postbiotics in inflammation mediated metabolic disorders: an updated review
Doke, R. R., Chande, K., Dingare, S., Vinchurkar, K., & Singh, S. K. (2025) · Food Science and Biotechnology · doi:10.1007/s10068-025-01952-6 · Cited by 8
Microbiota-Immune System Interactions in Human Neurological Disorders
Huang, Q., Fang, Y., Liao, D., & Xia, J. (2020) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527319666200726222138 · Cited by 7
Gut Microbiome Is Related to Cognitive Impairment in Peritoneal Dialysis Patients
Martín-del-Campo, F., Vega‐Magaña, N., Salazar-Félix, N. A., Cueto-Manzano, A. M., Rodríguez, M. P., Cortés–Sanabria, L., Romo-Flores, M. D. L., & Campos, E. R. (2024) · Nutrients · doi:10.3390/nu16162659 · Cited by 7
Xiao, M., Wang, X., He, C., Huang, Z.-S., Chen, H., & Kong, L.-H. (2023) · PubMed Central · doi:10.22038/ijbms.2023.66954.14683 · Cited by 6
Khezri, M. R., Esmaeili, A., & Ghasemnejad‐Berenji, M. (2023) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00418 · Cited by 7
Immunopathology and modulation induced by hookworms: From understanding to intervention
Magalhães, L. M. D., Passos, L. S. A., Fujiwara, R. T., & Bueno, L. L. (2020) · Parasite Immunology · doi:10.1111/pim.12798 · Cited by 5
Analysis of the Gut Microbiota and Inflammatory Factors in mGluR5-Knockout Mice
Cai, G., Zhu, Y., Chen, J., Zhao, S., Wang, L., Wang, M., Huang, J., & Wu, S. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00335 · Cited by 5
The influence of aging and the microbiome in multiple sclerosis and other neurologic diseases
Fettig, N. M., Pu, A., Osborne, L. C., & Gommerman, J. L. (2024) · Immunological Reviews · doi:10.1111/imr.13361 · Cited by 7
Cognitive impairment and the gut-brain axis during 2014–2023: a bibliometric analysis
He, J., Wu, J., Liu, J., Wu, H., & Hua, H. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1407956 · Cited by 5
Nguyen, H. V. M., Cabello, E. V., Dyer, D. W., Fender, C. L., García‐Jaramillo, M., Hord, N. G., Austad, S. N., Richardson, A. G., & Unnikrishnan, A. (2025) · Aging · doi:10.18632/aging.206211 · Cited by 4
Jeya, K. R., Khalifa, A. Y. Z., Veerapagu, M., & Sankaranarayanan, A. (2022) · Methods and protocols in food science · doi:10.1007/978-1-0716-2509-5_21 · Cited by 4
From Lipids to Mitochondria: Shared Metabolic Alterations in Obesity and Alzheimer’s Disease
Uranga, R. M., & Allani, S. K. (2026) · Cells · doi:10.3390/cells15080672 · Cited by 3
Noureen, S., Liaqat, I., Riaz, A., Rana, M., & Arshad, N. (2022) · Brazilian Archives of Biology and Technology · doi:10.1590/1678-4324-2022210294 · Cited by 3
Probiotics and Fecal Microbiota Transplantation in Major Depression: Doxa or Episteme?
Evrensel, A. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-981-97-4402-2_4 · Cited by 3
Fecal Microbiota Transplantation in the Treatment-Resistant Psychiatric Disorders
Evrensel, A., & Ceylan, M. E. (2018) · Springer eBooks · doi:10.1007/978-981-10-4358-1_24 · Cited by 3
Role of Nutraceuticals in Modulation of Gut-Brain Axis in Elderly Persons
Enciu, A., Codrici, E., Mihai, S., Manole, E., Pop, S., Codorean, E., Niculite, C. M., Necula, L. G., Ţârcomnicu, I., Gille, E., et al. (2018) · InTech eBooks · doi:10.5772/intechopen.73005 · Cited by 4
Sharma, I., Bharti, S., Pandey, S., Gupta, S., Bisen, P. S., Kango, N., & Sharma, K. K. (2026) · Food Nutrition · doi:10.1016/j.fnutr.2026.100067 · Cited by 3
Selection Criteria for Identifying Putative Probiont
TEZEL, B. U., Şanlıbaba, P., Akçelik, N., & Akçelik, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822909-5.00002-2 · Cited by 4
Differentially expressed genes of esophageal tissue in male acute and chronic sleep deprivation mice
Li, J., Lu, Y., Yang, D., Ren, M., Yin, Y., Zhao, Y., & He, S. (2024) · Genes Brain & Behavior · doi:10.1111/gbb.12896 · Cited by 1
Mora-Ortiz, M., García-Fernández, H., Pérez‐Martínez, P., & Camargo, A. (2024) · Open Research Europe · doi:10.12688/openreseurope.18568.1 · Cited by 2
Wei, H., Du, T., Zhang, W., Ma, W., Yao, Y., & Li, J. (2025) · Pharmaceuticals · doi:10.3390/ph18010100 · Cited by 2
Ali, F., Shehzad, A., Shahzad, R., Khan, S., Rashan, L. J., & Taha, M. (2025) · Developmental Neurobiology · doi:10.1002/dneu.22969 · Cited by 2
Indirect Environmental Effects on the Gut‐Brain Axis in a Wild Mammal
Petrullo, L. A., Santangeli, A., Wistbacka, R., Husby, A., & Raulo, A. (2025) · Molecular Ecology · doi:10.1111/mec.70149 · Cited by 3
Functional Role of Prebiotic Supplement in Brain Signalling
Rajamma, S. S., Krishnaswami, V., & Kandasamy, R. (2022) · Springer eBooks · doi:10.1007/978-981-16-1626-6_9 · Cited by 2
Jiang, J., Hu, D., Hu, S., Huang, K., Zheng, J., & Pei, E. (2025) · Zoo Biology · doi:10.1002/zoo.70014 · Cited by 1
Omotayo, J. O., Ajibade, O. A., Oyovwi, M. O., & Oyawoye, O. M. (2025) · Food Chemistry Advances · doi:10.1016/j.focha.2025.101098 · Cited by 1
Dobhal, S., Kaushik, M., Manhas, P. L., Kumar, A., Naithani, P., Gupta, P., Kaushik, H., Naithani, M., Omar, B. J., Kothari, A., et al. (2025) · Indian Journal of Microbiology · doi:10.1007/s12088-025-01516-6 · Cited by 1
Staniak, N., Piaseczna-Spitaleri, E., & Biała, G. (2022) · Postępy Higieny i Medycyny Doświadczalnej · doi:10.2478/ahem-2022-0042 · Cited by 1
Chronic Stress and Cognitive Aging
Fiocco, A. J. (2024) · Integrated science · doi:10.1007/978-3-031-73061-0_11 · Cited by 1
How do gut microbes influence mental health?
Dinan, T. G. (2022) · Trends in Urology & Men s Health · doi:10.1002/tre.857 · Cited by 1
Self-citationBacteria, Viruses, and the Microbiome
Anisman, H., Hayley, S. P., & Kusnecov, A. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23565-8.00020-x
Gut Dysbiosis and Neurological Disorders—An Eclectic Perspective
Bostancıklıoğlu, M., & Demir, T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819265-8.00041-3 · Cited by 1
Vivian, G. K. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.9.2021.tde-05072021-184454
(2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811351-6.00026-7
Gu, X., Zhou, J., Zhou, Y., Wang, H., Si, N., Ren, W., Zhao, W., Fan, X., Gao, W., Wei, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13979065
(2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23565-8.09996-8
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695986
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695980
Fenn, J., Taylor, C. H., Goertz, S., Wanelik, K. M., Paterson, S., Begon, M., Jackson, J., & Bradley, J. (2024) · Figshare · doi:10.6084/m9.figshare.26579084
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695974
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695983
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695971
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695977
Zhu, X., Shen, J., Feng, S., Huang, C., Wang, H., Huo, F., & Liu, H. (2023) · Figshare · doi:10.6084/m9.figshare.23265023
Gu, X., Zhou, J., Zhou, Y., Wang, H., Si, N., Ren, W., Zhao, W., Fan, X., Gao, W., Wei, X., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13979062
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