1
|
Yan J, Wang Z, Bao G, Xue C, Zheng W, Fu R, Zhang M, Ding J, Yang F, Sun B. Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study. Cell Biosci 2024; 14:67. [PMID: 38807189 PMCID: PMC11134679 DOI: 10.1186/s13578-024-01232-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/07/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Observational studies have reported that gut microbiota composition is associated with metabolic syndrome. However, the causal effect of gut microbiota on metabolic syndrome has yet to be confirmed. METHODS We performed a bidirectional Mendelian randomization study to investigate the causal effect between gut microbiota and metabolic syndrome in European population. Summary statistics of gut microbiota were from the largest available genome-wide association study meta-analysis (n = 13,266) conducted by the MiBioGen consortium. The summary statistics of outcome were obtained from the most comprehensive genome-wide association studies of metabolic syndrome (n = 291,107). The inverse-variance weighted method was applied as the primary method, and the robustness of the results was assessed by a series of sensitivity analyses. RESULTS In the primary causal estimates, Actinobacteria (OR = 0.935, 95% CI = 0.878-0.996, P = 0.037), Bifidobacteriales (OR = 0.928, 95% CI = 0.868-0.992, P = 0.028), Bifidobacteriaceae (OR = 0.928, 95% CI = 0.868-0.992, P = 0.028), Desulfovibrio (OR = 0.920, 95% CI = 0.869-0.975, P = 0.005), and RuminococcaceaeUCG010 (OR = 0.882, 95% CI = 0.803-0.969, P = 0.009) may be associated with a lower risk of metabolic syndrome, while Lachnospiraceae (OR = 1.130, 95% CI = 1.016-1.257, P = 0.025), Veillonellaceae (OR = 1.055, 95% CI = 1.004-1.108, P = 0.034) and Olsenella (OR = 1.046, 95% CI = 1.009-1.085, P = 0.015) may be linked to a higher risk for metabolic syndrome. Reverse MR analysis demonstrated that abundance of RuminococcaceaeUCG010 (OR = 0.938, 95% CI = 0.886-0.994, P = 0.030) may be downregulated by metabolic syndrome. Sensitivity analyses indicated no heterogeneity or horizontal pleiotropy. CONCLUSIONS Our Mendelian randomization study provided causal relationship between specific gut microbiota and metabolic syndrome, which might provide new insights into the potential pathogenic mechanisms of gut microbiota in metabolic syndrome and the assignment of effective therapeutic strategies.
Collapse
Affiliation(s)
- Jiawu Yan
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Zhongyuan Wang
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Guojian Bao
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Cailin Xue
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Wenxuan Zheng
- Division of Gastric Surgery, Department of General Surgery, the Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, 210008, China
| | - Rao Fu
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Minglu Zhang
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Jialu Ding
- Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Fei Yang
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China.
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China.
| | - Beicheng Sun
- Department of Hepatobiliary Surgery, Innovative Institute of Tumor Immunity and Medicine (ITIM), The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
- Anhui Province Key Laboratory of Tumor Immune Microenvironment and Immunotherapy, Hefei, China.
- Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China.
| |
Collapse
|
2
|
Peng J, Cai K, Chen G, Liu L, Peng L. Genetic evidence strengthens the bidirectional connection between gut microbiota and Shigella infection: insights from a two-sample Mendelian randomization study. Front Microbiol 2024; 15:1361927. [PMID: 38495509 PMCID: PMC10941758 DOI: 10.3389/fmicb.2024.1361927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/21/2024] [Indexed: 03/19/2024] Open
Abstract
Background In recent investigations, substantial strides have been made in the precise modulation of the gut microbiota to prevent and treat a myriad of diseases. Simultaneously, the pressing issue of widespread antibiotic resistance and multidrug resistance resulting from Shigella infections demands urgent attention. Several studies suggest that the antagonistic influence of the gut microbiota could serve as a novel avenue for impeding the colonization of pathogenic microorganisms or treating Shigella infections. However, conventional research methodologies encounter inherent challenges in identifying antagonistic microbial agents against Shigella, necessitating a comprehensive and in-depth analysis of the causal relationship between Shigella infections and the gut microbiota. Materials and methods Utilizing the aggregated summary statistics from Genome-Wide Association Studies (GWAS), we conducted Mendelian Randomization (MR) analyses encompassing 18,340 participants to explore the interplay between the gut microbiota and Shigella infections. This investigation also involved 83 cases of Shigella infection patients and 336,396 control subjects. In the positive strand of our findings, we initially performed a preliminary analysis using the Inverse Variance Weighting (IVW) method. Subsequently, we undertook sensitivity analyses to assess the robustness of the results, addressing confounding factors' influence. This involved employing the Leave-One-Out method and scrutinizing funnel plots to ensure the reliability of the MR analysis outcomes. Conclusively, a reverse MR analysis was carried out, employing the Wald ratio method due to the exposure of individual Single Nucleotide Polymorphisms (SNPs). This was undertaken to explore the plausible associations between Shigella infections and genetically predicted compositions of the gut microbiota. Results In this study, we employed 2,818 SNPs associated with 211 species of gut microbiota as instrumental variables (IVs). Through IVW analysis, our positive MR findings revealed a significant negative correlation between the occurrence of Shigella infections and the phylum Tenericutes (OR: 0.18, 95% CI: 0.04-0.74, p = 0.02), class Mollicutes (OR: 0.18, 95% CI: 0.04-0.74, p = 0.02), genus Intestinimonas (OR: 0.16, 95% CI: 0.04-0.63, p = 0.01), genus Gordonibacter (OR: 0.39, 95% CI: 0.16-0.93, p = 0.03), and genus Butyrivibrio (OR: 0.44, 95% CI: 0.23-0.87, p = 0.02). Conversely, a positive correlation was observed between the occurrence of Shigella infections and genus Sutterella (OR: 10.16, 95% CI: 1.87-55.13, p = 0.01) and genus Alistipes (OR: 12.24, 95% CI: 1.71-87.34, p = 0.01). In sensitivity analyses, utilizing MR-Egger regression analysis and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) detection, all outcomes demonstrated robust stability. Simultaneously, in the reverse MR analysis, Shigella infections resulted in an upregulation of four bacterial genera and a downregulation of three bacterial genera. Conclusion In summation, the MR analysis outcomes corroborate the presence of bidirectional causal relationships between the gut microbiota and Shigella infections. This study not only unveils novel perspectives for the prevention and treatment of Shigella infections but also furnishes fresh insights into the mechanistic underpinnings of how the gut microbiota contributes to the pathogenesis of Shigella infections. Consequently, the established dual causal association holds promise for advancing our understanding and addressing the complexities inherent in the interplay between the gut microbiota and Shigella infections, thereby paving the way for innovative therapeutic interventions and preventive strategies in the realm of Shigella-related diseases.
Collapse
Affiliation(s)
- Jingyi Peng
- Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China
| | - Kun Cai
- Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China
| | - Guanglei Chen
- Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China
| | - Linxiao Liu
- Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China
| | - Lili Peng
- The First People’s Hospital of Hangzhou Lin’an District, Hangzhou, Zhejiang, China
| |
Collapse
|
3
|
Pan T, Su L, Zhang Y, Yi F, Chen Y. Impact of gut microbiota on nonalcoholic fatty liver disease: insights from a leave-one-out cross-validation study. Front Microbiol 2024; 14:1320279. [PMID: 38260910 PMCID: PMC10801729 DOI: 10.3389/fmicb.2023.1320279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction Enteric dysbacteriosis is strongly associated with nonalcoholic fatty liver disease (NAFLD). However, the underlying causal relationship remains unknown. Thus, the present study aimed to investigate the relationship between gut microbiota and NAFLD using Mendelian randomization (MR) and analyze the target genes potentially regulated by specific microbiota. Methods Bidirectional two-sample MR analysis was performed using inverse variance weighted (IVW) supplemented by MR-Egger, weighted median, simple mode, and weighted mode methods. Data were pooled from gut microbiota and NAFLD association studies. The least absolute shrinkage, selection operator regression, and the Support Vector Machine algorithm were used to identify genes regulated by these intestinal flora in NAFLD. The liver expression of these genes was verified in methionine choline-deficient (MCD) diet-fed mice. Results IVW results confirmed a causal relationship between eight specific gut microbes and NAFLD. Notably, the order Actinomycetales, NB1n, the family Actinomycetaceae, Oxalobacteraceae and the genus Ruminococcaceae UCG005 were positively correlated, whereas Lactobacillaceae, the Christensenellaceae R7 group, and Intestinibacter were negatively correlated with NAFLD onset. In NAFLD, these eight bacteria regulated four genes: colony-stimulating factor 2 receptor β, fucosyltransferase 2, 17-beta-hydroxysteroid dehydrogenase 14, and microtubule affinity regulatory kinase 3 (MAPK3). All genes, except MARK3, were differentially expressed in the liver tissues of MCD diet-fed mice. Discussion The abundance of eight gut microbiota species and NAFLD progression displayed a causal relationship based on the expression of the four target genes. Our findings contributed to the advancement of intestinal microecology-based diagnostic technologies and targeted therapies for NAFLD.
Collapse
Affiliation(s)
- Tongtong Pan
- Hepatology Diagnosis and Treatment Center, The First Affiliated Hospital of Wenzhou Medical University and Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, Wenzhou, China
| | - Lihuang Su
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yiying Zhang
- Alberta Institute, Wenzhou Medical University, Wenzhou, China
| | - Fangfang Yi
- Hepatology Diagnosis and Treatment Center, The First Affiliated Hospital of Wenzhou Medical University and Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, Wenzhou, China
| | - Yongping Chen
- Hepatology Diagnosis and Treatment Center, The First Affiliated Hospital of Wenzhou Medical University and Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, Wenzhou, China
| |
Collapse
|
4
|
Zhai Q, Wu H, Zheng S, Zhong T, Du C, Yuan J, Peng J, Cai C, Li J. Association between gut microbiota and NAFLD/NASH: a bidirectional two-sample Mendelian randomization study. Front Cell Infect Microbiol 2023; 13:1294826. [PMID: 38106475 PMCID: PMC10722258 DOI: 10.3389/fcimb.2023.1294826] [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: 09/15/2023] [Accepted: 11/09/2023] [Indexed: 12/19/2023] Open
Abstract
Background Recent studies have suggested a relationship between gut microbiota and non-alcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH). However, the nature and direction of this potential causal relationship are still unclear. This study used two-sample Mendelian randomization (MR) to clarify the potential causal links. Methods Summary-level Genome-Wide Association Studies (GWAS) statistical data for gut microbiota and NAFLD/NASH were obtained from MiBioGen and FinnGen respectively. The MR analyses were performed mainly using the inverse-variance weighted (IVW) method, with sensitivity analyses conducted to verify the robustness. Additionally, reverse MR analyses were performed to examine any potential reverse causal associations. Results Our analysis, primarily based on the IVW method, strongly supports the existence of causal relationships between four microbial taxa and NAFLD, and four taxa with NASH. Specifically, associations were observed between Enterobacteriales (P =0.04), Enterobacteriaceae (P =0.04), Lachnospiraceae UCG-004 (P =0.02), and Prevotella9 (P =0.04) and increased risk of NAFLD. Dorea (P =0.03) and Veillonella (P =0.04) could increase the risks of NASH while Oscillospira (P =0.04) and Ruminococcaceae UCG-013 (P=0.005) could decrease them. We also identified that NAFLD was found to potentially cause an increased abundance in Holdemania (P =0.007) and Ruminococcus2 (P =0.002). However, we found no evidence of reverse causation in the microbial taxa associations with NASH. Conclusion This study identified several specific gut microbiota that are causally related to NAFLD and NASH. Observations herein may provide promising theoretical groundwork for potential prevention and treatment strategies for NAFLD and its progression to NASH in future.
Collapse
Affiliation(s)
- Qilong Zhai
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongyu Wu
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Siyuan Zheng
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tao Zhong
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Changjie Du
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Yuan
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jialun Peng
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Can Cai
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinzheng Li
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|