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Comment
. 2022 May;71(5):1041-1043.
doi: 10.1136/gutjnl-2021-325209. Epub 2021 Jul 8.

Hidden link in gut-joint axis: gut microbes promote rheumatoid arthritis at early stage by enhancing ascorbate degradation

Yan Zhao #  1 , Mingyue Cheng #  2 , Liang Zou  1 , Luxu Yin  1 , Chaofang Zhong  2 , Yuguo Zha  2 , Xue Zhu  2 , Lei Zhang  3 , Kang Ning  4 , Jinxiang Han  5
Affiliations
Comment

Hidden link in gut-joint axis: gut microbes promote rheumatoid arthritis at early stage by enhancing ascorbate degradation

Yan Zhao et al. Gut. 2022 May.
No abstract available

Keywords: arthritis; gut inflammation; intestinal bacteria; vitamins.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Overview of the three-pronged association framework integrating multiomics datasets. (A) Metabolites are summarised as co-abundance clusters, and microbial genes are grouped into KEGG modules and MGS, which are further filtered for statistically positive or negative associations (based on Spearman correlation) with the clinical phenotypes. The association analyses were divided by using healthy, OA and RA samples for arthritis types and using OA and RA samples for cytokine levels. The number in brackets represent the number of metabolites/metabolite clusters/microbial genes/KEGG modules/MGS in each analytical module. (B) The filtered features are further used for cross-domain association analyses. For each analysis, the left panel shows the significant associations (Mann-Whitney U test FDR<0.1) between KEGG modules and clinical phenotypes, and colour indicates significantly positive association (red), significantly negative association (blue) or insignificant association (grey). The right panel shows the associations between KEGG modules and metabolite clusters, and the colour represents the median Spearman correlation coefficient (SCC) of metabolite clusters with KEGG orthologies (KOs) in KEGG module minus those with KOs not in KEGG module. Mann-Whitney U test FDRs are denoted: +FDR<0.1; *FDR<0.01; **FDR<0.001. (C) The MGS that particularly contributed to the observed linkage between functional modules and clinical phenotypes. Three density plots: Dashed line represents the median SCC of the phenotypes with KOs in M00550 (red) and all other KOs (blue). Density plot shows the median SCC of the phenotypes with KOs in M00550, when a given MGS (indicated by short vertical lines) has been excluded from the analysis. The bottom-left dot plots show the mean±SEM of the top three driving MGS abundances among patients at each stage of disease development, with the four RA stages connected to display the variance. FDR, false discovery rate; IL-6, interleukin-6; MGS, metagenomic species; OA, osteoarthritis; RA, rheumatoid arthritis; TNF-α, tumour necrosis factor-α.
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References

    1. Agus A, Clément K, Sokol H. Gut microbiota-derived metabolites as central regulators in metabolic disorders. Gut 2021;70:1174–82. 10.1136/gutjnl-2020-323071 - DOI - PMC - PubMed
    1. Zaiss MM, Joyce Wu H-J, Mauro D, et al. . The gut-joint axis in rheumatoid arthritis. Nat Rev Rheumatol 2021;17:224–37. 10.1038/s41584-021-00585-3 - DOI - PubMed
    1. Pedersen HK, Forslund SK, Gudmundsdottir V, et al. . A computational framework to integrate high-throughput '-omics' datasets for the identification of potential mechanistic links. Nat Protoc 2018;13:2781–800. 10.1038/s41596-018-0064-z - DOI - PubMed
    1. Nielsen HB, Almeida M, Juncker AS, et al. . Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes. Nat Biotechnol 2014;32:822–8. 10.1038/nbt.2939 - DOI - PubMed
    1. Pattison DJ, Silman AJ, Goodson NJ, et al. . Vitamin C and the risk of developing inflammatory polyarthritis: prospective nested case-control study. Ann Rheum Dis 2004;63:843–7. 10.1136/ard.2003.016097 - DOI - PMC - PubMed