Causal Relationship Between Sjögren’s Syndrome and Gut Microbiota: A Two-Sample Mendelian Randomization Study

<b>Background:</b> Gut microbiota have been previously reported to be related to a variety of immune diseases. However, the causal connection between Sjögren's syndrome (SS) and gut microbiota has yet to be clarified. <b>Methods:</b> We employed a two-sample Mendelian randomization (MR) analysis to evaluate the causal connection between gut microbiota and SS, utilizing summary statistics from genome-wide association studies (GWASs) obtained from the MiBioGen and FinnGen consortia. The inverse variance weighted (IVW) approach represents the primary method of Mendelian randomization (MR) analysis. Sensitivity analysis was used to eliminate instrumental variables heterogeneity and horizontal pleiotropy. In addition, we performed an analysis using independent GWAS summary statistics for SS from the European Bioinformatics Institute (EBI) dataset for further verify our results. <b>Results:</b> IVW results demonstrated that the phylum <i>Lentisphaerae</i> (OR = 0.79, 95% CI: 0.63-0.99, <i>p</i> = 0.037), class <i>Deltaproteobacteria</i> (OR = 0.67, 95% CI: 0.47-0.96, <i>p</i> = 0.030), family <i>Porphyromonadaceae</i> (OR = 0.60, 95% CI: 0.38-0.94, <i>p</i> = 0.026), genus <i>Eubacterium coprostanoligenes</i> group (OR = 0.61, 95% CI: 0.4-0.93, <i>p</i> = 0.021), genus <i>Blautia</i> (OR = 0.62, 95% CI: 0.43-0.90, <i>p</i> = 0.012), genus <i>Butyricicoccus</i> (OR = 0.61, 95% CI: 0.42-0.90, <i>p</i> = 0.012), genus <i>Escherichia.Shigella</i> (OR = 0.7, 95% CI: 0.49-0.99, <i>p</i> = 0.045) and genus <i>Subdoligranulum</i> (OR = 0.61, 95% CI: 0.44-0.86, <i>p</i> = 0.005) exhibited protective effects on SS. Relevant heterogeneity of horizontal pleiotropy or instrumental variables was not detected. Furthermore, repeating our results with an independent cohort provided by the EBI dataset, only the genus <i>Eubacterium coprostanoligenes</i> group remained significantly associated with the protective effect on SS (OR = 0.41, 95% CI: 0.18-0.91, <i>p</i> = 0.029). Two-step MR analysis further revealed that genus <i>Eubacterium coprostanoligenes</i> group exerts its protective effect by reducing CXCL6 levels in SS (OR, 0.87; 95% CI = 0.76-0.99, <i>p</i> = 0.033). <b>Conclusions:</b> Our study using two-sample MR analysis identified a causal association between multiple genera and SS. A two-step MR result calculated that genus <i>Eubacterium coprostanoligenes</i> group mediated its protective effect by reducing CXCL6 levels in SS. However, the datasets available from the MiBioGen and FinnGen consortia do not provide sufficient information or comprehensive demographic data for subgroup analyses. Additional validation using various omics technologies is necessary to comprehend the development of SS in the intricate interplay between genes and the environment over a period of time.

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Journal
Biomedicines
Published
2024-10-18
DOI
https://doi.org/10.3390/biomedicines12102378
Citations
3
Primary Topic
Salivary Gland Disorders and Functions
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article
Field-Weighted Citation Impact
0.98
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article

Causal Relationship Between Sjögren’s Syndrome and Gut Microbiota: A Two-Sample Mendelian Randomization Study

Weiping Xia, Minghui Liu, Xinrun Wang
3 citations
Biomedicines
Salivary Gland Disorders and Functions
0.98
article

Causal Relationship Between Sjögren’s Syndrome and Gut Microbiota: A Two-Sample Mendelian Randomization Study

Weiping Xia, Minghui Liu, Xinrun Wang
article en
3 citations

Abstract

<b>Background:</b> Gut microbiota have been previously reported to be related to a variety of immune diseases. However, the causal connection between Sjögren's syndrome (SS) and gut microbiota has yet to be clarified. <b>Methods:</b> We employed a two-sample Mendelian randomization (MR) analysis to evaluate the causal connection between gut microbiota and SS, utilizing summary statistics from genome-wide association studies (GWASs) obtained from the MiBioGen and FinnGen consortia. The inverse variance weighted (IVW) approach represents the primary method of Mendelian randomization (MR) analysis. Sensitivity analysis was used to eliminate instrumental variables heterogeneity and horizontal pleiotropy. In addition, we performed an analysis using independent GWAS summary statistics for SS from the European Bioinformatics Institute (EBI) dataset for further verify our results. <b>Results:</b> IVW results demonstrated that the phylum <i>Lentisphaerae</i> (OR = 0.79, 95% CI: 0.63-0.99, <i>p</i> = 0.037), class <i>Deltaproteobacteria</i> (OR = 0.67, 95% CI: 0.47-0.96, <i>p</i> = 0.030), family <i>Porphyromonadaceae</i> (OR = 0.60, 95% CI: 0.38-0.94, <i>p</i> = 0.026), genus <i>Eubacterium coprostanoligenes</i> group (OR = 0.61, 95% CI: 0.4-0.93, <i>p</i> = 0.021), genus <i>Blautia</i> (OR = 0.62, 95% CI: 0.43-0.90, <i>p</i> = 0.012), genus <i>Butyricicoccus</i> (OR = 0.61, 95% CI: 0.42-0.90, <i>p</i> = 0.012), genus <i>Escherichia.Shigella</i> (OR = 0.7, 95% CI: 0.49-0.99, <i>p</i> = 0.045) and genus <i>Subdoligranulum</i> (OR = 0.61, 95% CI: 0.44-0.86, <i>p</i> = 0.005) exhibited protective effects on SS. Relevant heterogeneity of horizontal pleiotropy or instrumental variables was not detected. Furthermore, repeating our results with an independent cohort provided by the EBI dataset, only the genus <i>Eubacterium coprostanoligenes</i> group remained significantly associated with the protective effect on SS (OR = 0.41, 95% CI: 0.18-0.91, <i>p</i> = 0.029). Two-step MR analysis further revealed that genus <i>Eubacterium coprostanoligenes</i> group exerts its protective effect by reducing CXCL6 levels in SS (OR, 0.87; 95% CI = 0.76-0.99, <i>p</i> = 0.033). <b>Conclusions:</b> Our study using two-sample MR analysis identified a causal association between multiple genera and SS. A two-step MR result calculated that genus <i>Eubacterium coprostanoligenes</i> group mediated its protective effect by reducing CXCL6 levels in SS. However, the datasets available from the MiBioGen and FinnGen consortia do not provide sufficient information or comprehensive demographic data for subgroup analyses. Additional validation using various omics technologies is necessary to comprehend the development of SS in the intricate interplay between genes and the environment over a period of time.

BiomedicinesVol. 12(10)
Central South University (CN), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 23%
Salivary Gland Disorders and Functions
0.98
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