The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Gut microbiota in early pediatric multiple sclerosis: a case−control study
Open accessAbstract
Background and purpose: Alterations in the gut microbial community composition may be influential in neurological disease. Microbial community profiles were compared between early onset pediatric multiple sclerosis (MS) and control children similar for age and sex. Methods: Children ≤18 years old within 2 years of MS onset or controls without autoimmune disorders attending a University of California, San Francisco,USA, pediatric clinic were examined for fecal bacterial community composition and predicted function by 16S ribosomal RNA sequencing and phylogenetic reconstruction of unobserved states (PICRUSt) analysis. Associations between subject characteristics and the microbiota, including beta diversity and taxa abundance, were identified using non‐parametric tests, permutational multivariate analysis of variance and negative binomial regression. Results: Eighteen relapsing−remitting MS cases and 17 controls (mean age 13 years; range 4–18) were studied. Cases had a short disease duration (mean 11 months; range 2–24) and half were immunomodulatory drug (IMD) naïve. Whilst overall gut bacterial beta diversity was not significantly related to MS status,IMD exposure was (Canberra,P< 0.02). However, relative to controls,MS cases had a significant enrichment in relative abundance for members of the Desulfovibrionaceae(Bilophila,Desulfovibrio and Christensenellaceae) and depletion in Lachnospiraceae and Ruminococcaceae(all P and q< 0.000005). Microbial genes predicted as enriched in MS versus controls included those involved in glutathione metabolism (Mann−Whitney,P= 0.017), findings that were consistent regardless of IMD exposure. Conclusions: In recent onset pediatric MS, perturbations in the gut microbiome composition were observed, in parallel with predicted enrichment of metabolic pathways associated with neurodegeneration. Findings were suggestive of a pro‐inflammatory milieu.
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Cites
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
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
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
Human Genetics Shape the Gut Microbiome
Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.053 · Cited by 3,164 · cited 1×
“heritable Christensenellaceae family [16].”
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
International Multiple Sclerosis Genetics Consortium (IMSGC) (2013) · Nature Genetics · doi:10.1038/ng.2770 · Cited by 1,386
Vandeputte, D., Falony, G., Vieira-Silva, S., Tito, R. Y., Joossens, M., & Raes, J. (2016) · Gut · doi:10.1136/gutjnl-2015-309618 · Cited by 1,028
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
The role of microbiome in central nervous system disorders
Wang, Y., & Kasper, L. H. (2014) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2013.12.015 · Cited by 803
Wang, W., Chen, L., Zhou, R., Wang, X., Song, L., Huang, S., Wang, G., & Xia, B. (2014) · Journal of Clinical Microbiology · doi:10.1128/jcm.01500-13 · Cited by 509
Role of the microbiota in inflammatory bowel diseases
Nagalingam, N. A., & Lynch, S. V. (2012) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21866 · Cited by 315 · cited 1×
“Its depletion has also been observed in children newly diagnosed with the autoimmune condition Crohn’s disease [20,22,23].”
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Interactions between the microbiota, immune and nervous systems in health and disease
Fung, T. C., Olson, C. A., & Hsiao, E. Y. (2017) · Nature Neuroscience · doi:10.1038/nn.4476 · Cited by 1,900
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
Akkermansia muciniphila: paradigm for next-generation beneficial microorganisms
Cani, P. D., Depommier, C., Derrien, M., Everard, A., & de Vos, W. M. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00631-9 · Cited by 1,192
Multiple Sclerosis: Mechanisms and Immunotherapy
Baecher-Allan, C., Kaskow, B. J., & Weiner, H. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.021 · Cited by 938
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
Self-citation
Metadata
- Authors
- Tremlett, H., Fadrosh, D. W., Faruqi, A. A., Zhu, F., Hart, J., Roalstad, S., Graves, J., Lynch, S., Waubant, E., & the US Network of Pediatric MS Centers
- Venue
- European Journal of Neurology
- Publisher
- Wiley
- Published
- 2016-05-13
- Volume
- 23
- Issue
- 8
- Pages
- 1308-1321
- ISSN
- 1351-5101 (ISSN-L)
- 1468-1331
- OpenAlex
- W2359274148
- Cited by
- 347
- References
- 10
- FWCI
- 15.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Tremlett, H., Fadrosh, D. W., Faruqi, A. A., Zhu, F., Hart, J., Roalstad, S., Graves, J., Lynch, S., Waubant, E., & the US Network of Pediatric MS Centers. (2016). Gut microbiota in early pediatric multiple sclerosis: a case−control study. European Journal of Neurology. https://doi.org/10.1111/ene.13026
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