The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A probiotic modulates the microbiome and immunity in multiple sclerosis
Open accessAbstract
Objective: Effect of a probiotic on the gut microbiome and peripheral immune function in healthy controls and relapsing‐remitting multiple sclerosis (MS) patients. Methods: MS patients (N = 9) and controls (N = 13) were orally administered a probiotic containing Lactobacillus, Bifidobacterium, and Streptococcus twice‐daily for two months. Blood and stool specimens were collected at baseline, after completion of the 2‐month treatment, and 3 months after discontinuation of therapy. Frozen peripheral blood mononuclear cells (PBMCs) were used for immune cell profiling. Stool samples were used for 16S rRNA profiling and metabolomics. Results: Probiotic administration increased the abundance of several taxa known to be depleted in MS such as Lactobacillus. We found that probiotic use decreased the abundance of taxa previously associated with dysbiosis in MS, including Akkermansia and Blautia. Predictive metagenomic analysis revealed a decrease in the abundance of several KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways associated with altered gut microbiota function in MS patients, such as methane metabolism, following probiotic supplementation. At the immune level, probiotic administration induced an anti‐inflammatory peripheral immune response characterized by decreased frequency of inflammatory monocytes, decreased mean fluorescence intensity (MFI) of CD80 on classical monocytes, as well as decreased human leukocyte antigen (HLA) D related MFI on dendritic cells. Probiotic administration was also associated with decreased expression of MS risk allele HLA‐DQA1 in controls. Probiotic‐induced increase in abundance of Lactobacillus and Bifidobacterium was associated with decreased expression of MS risk allele HLA.DPB1 in controls. Interpretation: Our results suggest that probiotics could have a synergistic effect with current MS therapies. Ann Neurol 2018
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Kouchaki, E., Tamtaji, O. R., Salami, M., Bahmani, F., Daneshvar Kakhaki, R., Akbari, E., Tajabadi-Ebrahimi, M., Jafari, P., & Asemi, Z. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.08.015 · Cited by 317 · cited 1×
“Furthermore, a recent study reported that supplementation of MS patients with a cocktail of three Lactobacillus species and one Bifidobacterium species was associated with improved Expanded Disability Status Scale (EDSS) score as well as decreased depression and stress.(36) Others studies conducted in the EAE mouse mo…”
BackgroundRetractedQIIME 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
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
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
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
HMDB: the Human Metabolome Database
Wishart, D. S., Tzur, D., Knox, C., Eisner, R., Guo, A. C., Young, N., Cheng, D., Jewell, K., Arndt, D., Sawhney, S., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl923 · Cited by 3,231
SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data
Kopylova, E., Noé, L., & Touzet, H. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts611 · Cited by 3,111
Dieterle, F., Ross, A., Schlotterbeck, G., & Senn, H. (2006) · Analytical Chemistry · doi:10.1021/ac051632c · Cited by 1,768
Zhang, X., Zhang, D., Jia, H., Feng, Q., Wang, D., Liang, D., Wu, X., Li, J., Tang, L., Li, Y., et al. (2015) · Nature Medicine · doi:10.1038/nm.3914 · Cited by 1,690
Rothhammer, V., Mascanfroni, I. D., Bunse, L., Takenaka, M. C., Kenison, J. E., Mayo, L., Chao, C.-C., Patel, B., Yan, R., Blain, M., et al. (2016) · Nature Medicine · doi:10.1038/nm.4106 · Cited by 1,559
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The microbiome, cancer, and cancer therapy
Helmink, B. A., Khan, M. A. W., Hermann, A., Gopalakrishnan, V., & Wargo, J. A. (2019) · Nature Medicine · doi:10.1038/s41591-019-0377-7 · Cited by 1,200
A Comprehensive Review on the Role of the Gut Microbiome in Human Neurological Disorders
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Zhou, B., Yuan, Y., Zhang, S., Guo, C., Li, X., Li, G., Xiong, W., & Zeng, Z. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00575 · Cited by 396
The impact of the gut microbiome on extra-intestinal autoimmune diseases
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Metadata
- Authors
- Tankou, S. K., Regev, K., Healy, B. C., Tjon, E., Laghi, L., Cox, L. M., Kivisäkk, P., Pierre, I. V., Hrishikesh, L., Gandhi, R., Cook, S., Glanz, B., Stankiewicz, J., & Weiner, H. L.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2018-06
- Volume
- 83
- Issue
- 6
- Pages
- 1147-1161
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2799611930
- Cited by
- 264
- References
- 37
- FWCI
- 19.62
- Type
- journal article
- Language
- en
- Open access
- green
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- Tankou, S. K., Regev, K., Healy, B. C., Tjon, E., Laghi, L., Cox, L. M., Kivisäkk, P., Pierre, I. V., Hrishikesh, L., Gandhi, R., Cook, S., Glanz, B., Stankiewicz, J., & Weiner, H. L. (2018). A probiotic modulates the microbiome and immunity in multiple sclerosis. Annals of Neurology. https://doi.org/10.1002/ana.25244
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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