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Song J, Zhou D, Jia L, Wang M, Lan D, Li J, Hamit FZH, Ding Y, Ji X, Meng R. The possible causal relationship between COVID-19 and imaging markers of cerebral small vessel disease: a Mendelian randomization study. Neurol Res 2024; 46:735-742. [PMID: 38695379 DOI: 10.1080/01616412.2024.2349440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 04/24/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVES Observational studies have suggested that SARS-CoV-2 infection may increase the burden of cerebral small vessel disease (CSVD). This study aims to explore the causal correlation between COVID-19 and the imaging markers of CSVD using Mendelian randomization (MR) methods. METHODS Summary-level genome-wide association study (GWAS) statistics for COVID-19 susceptibility, hospitalization, and severity were utilized as proxies for exposure. Large-scale meta-analysis GWAS data on three neuroimaging markers of white matter hyperintensity, lacunar stroke, and brain microbleeds, were employed as outcomes. Our primary MR analysis employed the inverse variance weighted (IVW) approach, supplemented by MR-Egger, weighted median, and MR-PRESSO methods. We also conducted multivariable MR analysis to address confounding bias and validate the robustness of the established causal estimates. Comprehensive sensitivity analyses included Cochran's Q test, Egger-intercept analysis, MR-PRESSO, and leave-one-out analysis. RESULTS The MR analysis revealed a significant causal correlation between the severity of COVID-19 and an increased risk of lacunar stroke, as demonstrated by the IVW method (ORivw = 1.08, 95% CI: 1.03-1.16, pivw = 0.005, FDR = 0.047). Nevertheless, no causal correlations were observed between COVID-19 susceptibility or hospitalization and any CSVD imaging markers. The robustness and stability of these findings were further confirmed by multivariable MR analysis and comprehensive sensitivity analyses. DISCUSSION This study provides compelling evidence of a potential causal effect of severe COVID-19 on the incidence of lacunar stroke, which may bring fresh insights into the understanding of the comorbidity between COVID-19 and CSVD.
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Affiliation(s)
- Jiahao Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Da Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lina Jia
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Mengqi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Duo Lan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jingrun Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Fatime Zara Hassan Hamit
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuchuan Ding
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
| | - Xunming Ji
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ran Meng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
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Sun D, Zhang Y, Wang R, Du Q, Shi Z, Chen H, Wang X, Zhou H. Causal effects of gut microbiota on multiple sclerosis: A two-sample Mendelian randomization study. Brain Behav 2024; 14:e3593. [PMID: 38898610 PMCID: PMC11186842 DOI: 10.1002/brb3.3593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/13/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Gut microbiota alterations in multiple sclerosis (MS) patients have been reported in observational studies, but whether these associations are causal is unclear. OBJECTIVE We performed a Mendelian randomization study (MR) to assess the causal effects of gut microbiota on MS. METHODS Independent genetic variants associated with 211 gut microbiota phenotypes were selected as instrumental variables from the largest genome-wide association studies (GWAS) previously published by the MiBioGen study. GWAS data for MS were obtained from the International Multiple Sclerosis Genetics Consortium (IMSGC) for primary analysis and the FinnGen consortium for replication and collaborative analysis. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. RESULTS After inverse-variance-weighted and sensitivity analysis filtering, seven gut microbiota with potential causal effects on MS were identified from the IMSGC. Only five metabolites remained significant associations with MS when combined with the FinnGen consortium, including genus Anaerofilum id.2053 (odds ratio [OR] = 1.141, 95% confidence interval [CI]: 1.021-1.276, p = .021), Ruminococcus2 id.11374 (OR = 1.190, 95% CI: 1.007-1.406, p = .042), Ruminococcaceae UCG003 id.11361 (OR = 0.822, 95% CI: 0.688-0.982, p = .031), Ruminiclostridium5 id.11355 (OR = 0.724, 95% CI: 0.585-0.895, p = .003), Anaerotruncus id.2054 (OR = 0.772, 95% CI: 0.634-0.940, p = .010). CONCLUSION Our MR analysis reveals a potential causal relationship between gut microbiota and MS, offering promising avenues for advancing mechanistic understanding and clinical investigation of microbiota-mediated MS.
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Affiliation(s)
- Dongren Sun
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Yangyang Zhang
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Rui Wang
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Qin Du
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Ziyan Shi
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Hongxi Chen
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Xiaofei Wang
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
| | - Hongyu Zhou
- Department of NeurologyWest China HospitalSichuan UniversityChengduChina
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Wang W, Ge W, Feng J, Huang M, Zhang X, Xia J, Wang L, Li C. Mendelian randomization analyses of known and suspected risk factors and biomarkers for myasthenia gravis overall and by subtypes. BMC Neurol 2024; 24:33. [PMID: 38238684 PMCID: PMC10795466 DOI: 10.1186/s12883-024-03529-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/05/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Myasthenia gravis (MG) is an autoimmune disease that affects neuromuscular junction. The literature suggests the involvement of circulating cytokines (CK), gut microbiota (GM), and serum metabolites (SM) with MG. However, this research is limited to observational trials, and comprehensive causal relationship studies have not been conducted. Based on published datasets, this investigation employed Mendelian Randomization (MR) to analyze the known and suspected risk factors and biomarkers causal association of MG and its subtypes. METHODS This research used two-sample MR and linkage disequilibrium score (LDSC) regression of multiple datasets to aggregate datasets acquired from the genome-wide association studies (GWAS) to assess the association of MG with 41-CK, 221-GM, and 486-SM. For sensitivity analysis and to validate the robustness of the acquired data, six methods were utilized, including MR-Egger regression, inverse variance weighting (IVW), weighted median, and MR-PRESSO. RESULTS The MR method identified 20 factors significantly associated with MG, including 2 CKs, 6 GMs, and 9 SMs. Further analysis of the factors related to the two MG subtypes, early-onset MG (EOMG) and late-onset MG (LOMG), showed that EOMG had a high overlap with MG in the intestinal flora, while LOMG had a greater similarity in CKs and SMs. Furthermore, LDSC regression analysis indicated that Peptococcaceae, oxidized biliverdin, and Kynurenine had significant genetic correlations with general MG, whereas EOMG was highly correlated with Intestinibacter, while LOMG had significant genetic associations with Kynurenine and Glucose. CONCLUSION This research furnishes evidence for the potential causal associations of various risk factors with MG and indicates a heterogeneous relationship between CKs, GMs, and SMs with MG subtypes.
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Affiliation(s)
- Wenwen Wang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China
| | - Wei Ge
- Department of Field and Disaster Nursing, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Junling Feng
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China
| | - Manli Huang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China
| | - Xihua Zhang
- Department of Neurological Intensive Care Rehabilitation, Xi'an International Medical Center Hospital, Xi'an, Shaanxi Province, 710000, China
| | - Jielai Xia
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China
| | - Ling Wang
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China.
| | - Chen Li
- Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, No.169 Changlexilu Road, Xi'an, Shaanxi Province, 710042, P. R. China.
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