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Ye D, Wang J, Shi J, Ma Y, Chen J, Hu X, Bao Z. Genetically predicted metabolites mediate the association between immune cells and metabolic dysfunction-associated steatotic liver disease: a mendelian randomization study. Lipids Health Dis 2024; 23:249. [PMID: 39148061 PMCID: PMC11328421 DOI: 10.1186/s12944-024-02245-3] [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: 06/06/2024] [Accepted: 08/08/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Existing studies have presented limited and disparate findings on the nexus between immune cells, plasma metabolites, and metabolic dysfunction-associated steatotic liver disease (MASLD). The aim of this study was to investigate the causal relationship between immune cells and MASLD. Additionally, we aimed to identify and quantify the potential mediating role of metabolites. METHODS A Mendelian randomization (MR) analysis was conducted using two samples of pooled data from genome-wide association studies on MASLD that included 2568 patients and 409,613 control individuals. Additionally, a mediated MR study was employed to quantify the metabolite-mediated immune cell effects on MASLD. RESULTS In this study, eight immunophenotypes were linked to the risk of MASLD, and thirty-five metabolites/metabolite ratios were linked to the occurrence of MASLD. Furthermore, a total of six combinations of immunophenotypic and metabolic factors demonstrated effects on the occurrence of MASLD, although the mediating effects of metabolites were not significant. CONCLUSION Our study demonstrated that certain immunophenotypes and metabolite/metabolite ratios have independent causal relationships with MASLD. Furthermore, we identified specific metabolites/metabolite ratios that are associated with an increased risk of MASLD. However, their mediating role in the causal association between immunophenotypes and MASLD was not significant. It is important to consider immune and metabolic disorders among patients with MASLD in clinical practice.
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Affiliation(s)
- Dan Ye
- Department of Internal Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
| | - Jiaofeng Wang
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
| | - Jiaheng Shi
- Department of Internal Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
| | - Yiming Ma
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
- Department of General Practice, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Jie Chen
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
| | - Xiaona Hu
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China
- Department of Gastroenterology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Zhijun Bao
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, 221 Yan'an West Road, Shanghai, 200040, China.
- Department of Geriatrics, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
- Department of National Clinical Research Center for Ageing and Medicine, Huashan Hospital Affiliated to Fudan University, Shanghai, China.
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Wang Z, Han S, Xiao Y, Zhang Y, Ge Y, Liu X, Gao J. Genetically supported causality between gut microbiota and frailty: a two-sample Mendelian randomization study. Front Microbiol 2024; 15:1324209. [PMID: 38741737 PMCID: PMC11089315 DOI: 10.3389/fmicb.2024.1324209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/25/2024] [Indexed: 05/16/2024] Open
Abstract
Background A mounting body of evidence suggests a strong connection between gut microbiota and the risk of frailty. However, the question of causality remains unanswered. In this study, we employed a Mendelian randomization (MR) approach to assess potential causal relationships between gut microbiota and the risk of frailty. Materials and methods Summary statistics for the gut microbiome were obtained from a genome wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340). Summary statistics for frailty were obtained from a GWAS meta-analysis, including the UK Biobank and TwinGene (N = 175,226). Our primary analysis utilized the inverse variance weighted (IVW) method. To enhance the robustness of our results, we also applied weighted median methods, MR Egger regression, and MR pleiotropy residual sum and outlier test. Finally, we conducted reverse MR analysis to investigate the potential for reverse causality. Results IVW method identified 7 bacterial taxa nominally associated with the risk of FI. Class Bacteroidia (p = 0.033) and genus Eubacterium ruminantium group (p = 0.028) were protective against FI. In addition, class Betaproteobacteria (p = 0.042), genus Allisonella (p = 0.012), genus Bifidobacterium (p = 0.013), genus Clostridium innocuum group (p = 0.036) and genus Eubacterium coprostanoligenes group (p = 0.003) were associated with a higher risk of FI. No pleiotropy or heterogeneity were found. Conclusion The MR analysis indicates a causal relationship between specific gut microbiota and FI, offering new insights into the mechanisms underlying FI mediated by gut microbiota.
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Affiliation(s)
- Zi Wang
- Yangzhou University Medical College, Yangzhou, China
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Shuai Han
- Yangzhou University Medical College, Yangzhou, China
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Yinggang Xiao
- Yangzhou University Medical College, Yangzhou, China
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Yang Zhang
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Yali Ge
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Xin Liu
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
| | - Ju Gao
- Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Yangzhou University Affiliated Northern Jiangsu People’s Hospital, Yangzhou, China
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Li Y, Deng Q, Liu Z. The relationship between gut microbiota and insomnia: a bi-directional two-sample Mendelian randomization research. Front Cell Infect Microbiol 2023; 13:1296417. [PMID: 38089822 PMCID: PMC10714008 DOI: 10.3389/fcimb.2023.1296417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction Insomnia is the second most common mental health issue, also is a social and financial burden. Insomnia affects the balance between sleep, the immune system, and the central nervous system, which may raise the risk of different systemic disorders. The gut microbiota, referred to as the "second genome," has the ability to control host homeostasis. It has been discovered that disruption of the gut-brain axis is linked to insomnia. Methods In this study, we conducted MR analysis between large-scale GWAS data of GMs and insomnia to uncover potential associations. Results Ten GM taxa were detected to have causal associations with insomnia. Among them, class Negativicutes, genus Clostridiuminnocuumgroup, genus Dorea, genus Lachnoclostridium, genus Prevotella7, and order Selenomonadalesare were linked to a higher risk of insomnia. In reverse MR analysis, we discovered a causal link between insomnia and six other GM taxa. Conclusion It suggested that the relationship between insomnia and intestinal flora was convoluted. Our findings may offer beneficial biomarkers for disease development and prospective candidate treatment targets for insomnia.
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Affiliation(s)
- Yan Li
- Department of Neurology, Hangzhou Children’s Hospital, Hangzhou, Zhejiang, China
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