The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis
Open accessAbstract
BACKGROUND: The assessment and characterization of the gut microbiome has become a focus of research in the area of human autoimmune diseases. Ankylosing spondylitis is an inflammatory autoimmune disease and evidence showed that ankylosing spondylitis may be a microbiome-driven disease. RESULTS: To investigate the relationship between the gut microbiome and ankylosing spondylitis, a quantitative metagenomics study based on deep shotgun sequencing was performed, using gut microbial DNA from 211 Chinese individuals. A total of 23,709 genes and 12 metagenomic species were shown to be differentially abundant between ankylosing spondylitis patients and healthy controls. Patients were characterized by a form of gut microbial dysbiosis that is more prominent than previously reported cases with inflammatory bowel disease. Specifically, the ankylosing spondylitis patients demonstrated increases in the abundance of Prevotella melaninogenica, Prevotella copri, and Prevotella sp. C561 and decreases in Bacteroides spp. It is noteworthy that the Bifidobacterium genus, which is commonly used in probiotics, accumulated in the ankylosing spondylitis patients. Diagnostic algorithms were established using a subset of these gut microbial biomarkers. CONCLUSIONS: Alterations of the gut microbiome are associated with development of ankylosing spondylitis. Our data suggest biomarkers identified in this study might participate in the pathogenesis or development process of ankylosing spondylitis, providing new leads for the development of new diagnostic tools and potential treatments.
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Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,808
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
Self-citationEvaluation of Diagnostic Criteria for Ankylosing Spondylitis
Linden, S. V. D., Valkenburg, H. A., & Cats, A. (1984) · Arthritis & Rheumatism · doi:10.1002/art.1780270401 · Cited by 5,697
SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
Luo, R., Liu, B., Xie, Y., Li, Z., Huang, W., Yuan, J., He, G., Chen, Y., Pan, Q., Liu, Y., et al. (2012) · Gigascience · doi:10.1186/2047-217x-1-18 · Cited by 5,307
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Self-citationSokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413
SOAP: Short oligonucleotide alignment program
Li, R., Li, Y., Kristiansen, K., & Wang, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn025 · Cited by 3,597
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Nayfach, S., Shi, Z. J., Seshadri, R., Pollard, K. S., & Kyrpides, N. C. (2019) · Nature · doi:10.1038/s41586-019-1058-x · Cited by 737
Tett, A., Huang, K. D., Asnicar, F., Fehlner-Peach, H., Pasolli, E., Karcher, N., Armanini, F., Manghi, P., Bonham, K., Zolfo, M., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.08.018 · Cited by 476
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Huang, C., & Shi, G. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1971-7 · Cited by 288
Wirbel, J., Zych, K., Essex, M., Karcher, N., Kartal, E., Salazar, G., Bork, P., Sunagawa, S., & Zeller, G. (2021) · Genome Biology · doi:10.1186/s13059-021-02306-1 · Cited by 269
Metadata
- Authors
- Wen, C., Zheng, Z., Shao, T., Liu, L., Xie, Z., Le Chatelier, E., He, Z., Zhong, W., Fan, Y., Zhang, L., Li, H., Wu, C., Hu, C., Xu, Q., Zhou, J., Cai, S., Wang, D., Huang, Y., Breban, M., Qin, N., & Ehrlich, S. D.
- Venue
- Genome Biology
- Published
- 2017-07-27
- Volume
- 18
- Issue
- 1
- Pages
- 142-142
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2741860025
- Cited by
- 382
- References
- 48
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wen, C., Zheng, Z., Shao, T., Liu, L., Xie, Z., Le Chatelier, E., He, Z., Zhong, W., Fan, Y., Zhang, L., Li, H., Wu, C., Hu, C., Xu, Q., Zhou, J., Cai, S., Wang, D., Huang, Y., Breban, M., . . . Ehrlich, S. D. (2017). Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. Genome Biology. https://doi.org/10.1186/s13059-017-1271-6
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