The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Gut Bifidobacteria Populations in Human Health and Aging
Open accessAbstract
The intestinal microbiota has increasingly been shown to have a vital role in various aspects of human health. Indeed, several studies have linked alterations in the gut microbiota with the development of different diseases. Among the vast gut bacterial community, Bifidobacterium is a genus which dominates the intestine of healthy breast-fed infants whereas in adulthood the levels are lower but relatively stable. The presence of different species of bifidobacteria changes with age, from childhood to old age. Bifidobacterium longum, B. breve, and B. bifidum are generally dominant in infants, whereas B. catenulatum, B. adolescentis and, as well as B. longum are more prevalent in adults. Increasingly, evidence is accumulating which shows beneficial effects of supplementation with bifidobacteria for the improvement of human health conditions ranging from protection against infection to different extra- and intra-intestinal positive effects. Moreover, bifidobacteria have been associated with the production of a number of potentially health promoting metabolites including short chain fatty acids, conjugated linoleic acid and bacteriocins. The aim of this mini-review is to describe the bifidobacteria compositional changes associated with different stages in life, highlighting their beneficial role, as well as their presence or absence in many disease states.
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.
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
1 retracted
Million, M., Angelakis, E., Maraninchi, M., Henry, M., Giorgi, R., Valero, R., Vialettes, B., & Raoult, D. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.20 · Cited by 362
RetractedStructure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
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 microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888 · cited 1×
“SIY melanoma growth (Sivan et al., 2015).”
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians
Biagi, E., Nylund, L., Candela, M., Ostan, R., Bucci, L., Pini, E., Nikkïla, J., Monti, D., Satokari, R., Franceschi, C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010667 · Cited by 1,483
An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota
Jeffery, I. B., O'Toole, P. W., Öhman, L., Claesson, M. J., Deane, J., Quigley, E. M. M., & Simrén, M. (2012) · Gut · doi:10.1136/gutjnl-2011-301501 · Cited by 835
Bartosch, S., Fite, A., Macfarlane, G. T., & McMurdo, M. E. T. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.6.3575-3581.2004 · Cited by 762 · cited 1×
“The same trend was observed by Bartosch et al. (2004) between elderly living in the local community and elderly in a hospitalized environment.”
BackgroundDiversity of Bifidobacteria within the Infant Gut Microbiota
Turroni, F., Peano, C., Pass, D. A., Foroni, E., Severgnini, M., Claesson, M. J., Kerr, C., Hourihane, J., Murray, D., Fuligni, F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036957 · Cited by 647 · cited 1×
“The presence of different species of bifidobacteria changes with age, from childhood to old age.”
Background
Cited by
Gut microbiome alterations in Alzheimer’s disease
Vogt, N. M., Kerby, R. L., Dill-McFarland, K. A., Harding, S. J., Merluzzi, A. P., Johnson, S. C., Carlsson, C. M., Asthana, S., Zetterberg, H., Blennow, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13601-y · Cited by 2,137
Gut microbiota: A player in aging and a target for anti-aging intervention
Vaiserman, A. M., Koliada, A. K., & Marotta, F. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.01.001 · Cited by 465
Nutrition, immunity and COVID-19
Calder, P. C. (2020) · BMJ Nutrition, Prevention & Health · doi:10.1136/bmjnph-2020-000085 · Cited by 426
Ticinesi, A., Lauretani, F., Milani, C., Nouvenne, A., Tana, C., Del Rio, D., Maggio, M., Ventura, M., & Meschi, T. (2017) · Nutrients · doi:10.3390/nu9121303 · Cited by 401
Duranti, S., Lugli, G. A., Mancabelli, L., Armanini, F., Turroni, F., James, K., Ferretti, P., Gorfer, V., Ferrario, C., Milani, C., et al. (2017) · Microbiome · doi:10.1186/s40168-017-0282-6 · Cited by 327
Human gut microbiome aging clock based on taxonomic profiling and deep learning
Galkin, F., Mamoshina, P., Aliper, A., Lane, E., Moskalev, V., Gladyshev, V. N., & Zhavoronkov, A. (2020) · iScience · doi:10.1016/j.isci.2020.101199 · Cited by 292
Perinatal factors affect the gut microbiota up to four years after birth
Fouhy, F., Watkins, C., Hill, C. J., O’Shea, C.-A., Nagle, B., Dempsey, E. M., O’Toole, P. W., Ross, R. P., Ryan, C. A., & Stanton, C. (2019) · Nature Communications · doi:10.1038/s41467-019-09252-4 · Cited by 274
Self-citationAging Hallmarks and Progression and Age-Related Diseases: A Landscape View of Research Advancement
Tenchov, R., Sasso, J. M., Wang, X., & Zhou, Q. A. (2024) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00531 · Cited by 276
Glycan Utilization and Cross-Feeding Activities by Bifidobacteria
Turroni, F., Milani, C., Duranti, S., Mahony, J., van Sinderen, D., & Ventura, M. (2018) · Trends in Microbiology · doi:10.1016/j.tim.2017.10.001 · Cited by 263
Ni, Y., Yang, X., Zheng, L., Wang, Z., Wu, L., Jiang, J., Yang, T., Ma, L., & Fu, Z. (2019) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900603 · Cited by 255
Rintala, A., Pietilä, S., Munukka, E., Eerola, E., Pursiheimo, J.-P., Laiho, A., Pekkala, S., & Huovinen, P. (2017) · Journal of Biomolecular Techniques : JBT · doi:10.7171/jbt.17-2801-003 · Cited by 194
Probiotics in the dairy industry—Advances and opportunities
Gao, J., Li, X., Zhang, G., Sadiq, F. A., Simal‐Gandara, J., Xiao, J., & Sang, Y. (2021) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12755 · Cited by 195
Gastrointestinal inflammation by gut microbiota disturbance induces memory impairment in mice
Jang, S.-E., Lim, S.-M., Jeong, J.-J., Jang, H.-M., Lee, H.-J., Han, M. J., & Kim, D.-H. (2018) · Mucosal Immunology · doi:10.1038/mi.2017.49 · Cited by 190
Xiao, M., Zhang, C., Duan, H., Narbad, A., Zhao, J., Chen, W., Zhai, Q., Yu, L., & Tian, F. (2024) · npj Biofilms and Microbiomes · doi:10.1038/s41522-024-00524-6 · Cited by 120
Enduring behavioral effects induced by birth by caesarean section in the mouse
Morais, L. H., Golubeva, A. V., Moloney, G. M., Moya-Pérez, A., Ventura-Silva, A. P., Arboleya, S., Bastiaanssen, T. F. S., O’Sullivan, O., Rea, K., Borre, Y., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.044 · Cited by 104
Self-citationLuk, B., Veeraragavan, S., Engevik, M., Balderas, M., Major, A., Runge, J., Luna, R. A., & Versalovic, J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0196510 · Cited by 90
The Influence of Ketogenic Diet on Gut Microbiota: Potential Benefits, Risks and Indications
Santangelo, A., Corsello, A., Spolidoro, G. C. I., Trovato, C. M., Agostoni, C., Orsini, A., Milani, G. P., & Peroni, D. G. (2023) · Nutrients · doi:10.3390/nu15173680 · Cited by 80
Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator
Salazar, J., Durán, P., Díaz, M. P., Chacín, M., Santeliz, R., Mengual, E., Gutiérrez, E., León, X., Díaz, A., Bernal, M., et al. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20105845 · Cited by 71
Chooi, Y. C., Zhang, Q. A., Magkos, F., Ng, M., Michael, N., Wu, X., Volchanskaya, V. S. B., Lai, X., Wanjaya, E. R., Elejalde, U., et al. (2024) · The American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.11.013 · Cited by 69
Salami, M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.613120 · Cited by 67
Kovacs, E. J., Boe, D. M., Boule, L. A., & Curtis, B. J. (2017) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2017.06.002 · Cited by 49
Liu, N., Yang, C., Liang, X., Cao, K., Xie, J., Luo, Q., & Luo, H. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01642-z · Cited by 45
Cinek, O., Polackova, K., Odeh, R., Alassaf, A., Kramná, L., Ibekwe, M. U., Majaliwa, E. S., Ahmadov, G., Elmahi, B. M. E., Mekki, H., et al. (2021) · Parasites & Vectors · doi:10.1186/s13071-021-04859-3 · Cited by 32
Modrackova, N., Stovicek, A., Burtscher, J., Bolechova, P., Killer, J., Domig, K. J., & Neuzil-Bunesova, V. (2021) · Scientific Reports · doi:10.1038/s41598-021-94824-y · Cited by 32
Evolutionary development and co‐phylogeny of primate‐associated bifidobacteria
Lugli, G. A., Alessandri, G., Milani, C., Mancabelli, L., Ruiz, L., Fontana, F., Borragán, S., González, A., Turroni, F., Ossiprandi, M. C., et al. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.15108 · Cited by 24
Bifidobacteriaceae diversity in the human microbiome from a large-scale genome-wide analysis
Pasolli, E., Mauriello, I. E., Avagliano, M., Cavaliere, S., De Filippis, F., & Ercolini, D. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.115027 · Cited by 22
Wei, X., Yu, L., Zhang, C., Ni, Y., Zhang, H., Zhai, Q., & Tian, F. (2023) · Foods · doi:10.3390/foods12050922 · Cited by 17
The role of teichoic acids of bifidobacteria in driving the interaction with the human host
Longhi, G., Vergna, L. M., Lugli, G. A., Bianchi, M. G., Tarracchini, C., Milani, C., Turroni, F., Bussolati, O., van Sinderen, D., & Ventura, M. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1616397 · Cited by 6
Ala‐Jaakkola, R., Forssten, S. D., Cheng, J., Griffon, F., Metreau, I., Sturm, Y., Lecerf, J., Donazzolo, Y., Junnila, J., Nordlund, A., et al. (2025) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.70081 · Cited by 4
Fu, P., Qi, H., & Liu, W. (2025) · Foods · doi:10.3390/foods14152747 · Cited by 3
Deemer, D. G., Voreades, N., Bron, P. A., & Lindemann, S. R. (2025) · Journal of Food Bioactives · doi:10.26599/jfb.2025.95030415 · Cited by 3
Deemer, D. G., Voreades, N., Bron, P. A., & Lindemann, S. R. (2023) · doi:10.1101/2023.04.17.537114 · Cited by 2
Metadata
- Authors
- Arboleya, S., Watkins, C., Stanton, C., & Ross, R. P.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2016-08-19
- Volume
- 7
- Pages
- 1204-1204
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2511217924
- Cited by
- 668
- References
- 20
- FWCI
- 17.61
- Type
- journal article
- Language
- en
- Open access
- gold
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
