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Yang X, Xu H, Liang X, Yuan G, Gao Q, Tan X, Yang Y, Xiao Y, Huang Z, Dai W, Liu X. Exploring the casual association between gut microbiome, circulating inflammatory cytokines and chronic pancreatitis: A Mendelian randomization analysis. Medicine (Baltimore) 2024; 103:e37959. [PMID: 38701270 PMCID: PMC11062735 DOI: 10.1097/md.0000000000037959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 03/29/2024] [Indexed: 05/05/2024] Open
Abstract
It has been established that gut dysbiosis contributed to the pathogenesis of digestive disorders. We aimed to explore the causal relationships between intestinal microbiota, circulating inflammatory cytokines and chronic pancreatitis (CP). Summary statistics of genome-wide association studies (GWAS) of intestinal microbiome was retrieved from the MiBioGen study and the GWAS data of 91 circulating inflammatory cytokines and CP were obtained from the GWAS catalog. The 2-sample bidirectional Mendelian randomization (MR) analysis was performed between gut microbiota, circulating inflammatory cytokines and CP, in which the inverse variance weighted (IVW) method was regarded as the primary analysis approach. To prove the reliability of the causal estimations, multiple sensitivity analyses were utilized. IVW results revealed that genetically predicted 2 genera, including Sellimonas and Eubacteriumventriosumgroup, and plasm C-C motif chemokine 23 (CCL23) level were positively associated with CP risk, while genus Escherichia Shigella, Eubacteriumruminantiumgroup and Prevotella9, and plasma Caspase 8, Adenosine Deaminase (ADA), and SIR2-like protein 2 (SIRT2) level, demonstrated an ameliorative effect on CP. Leave-one-out analysis confirmed the robustness of the aforementioned causal effects and no significant horizontal pleiotropy or heterogeneity of the instrumental variables was detected. However, no association was found from the identified genera to the CP-related circulating inflammatory cytokines. Besides, the reverse MR analysis demonstrated no causal relationship from CP to the identified genera and circulating inflammatory cytokines. Taken together, our comprehensive analyses offer evidence in favor of the estimated causal connections from the 5 genus-level microbial taxa and 4 circulating inflammatory cytokines to CP risk, which may help to reveal the underlying pathogenesis of CP.
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Affiliation(s)
- Xiaoqiu Yang
- Department of Anesthesiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Hao Xu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Xiaolu Liang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Guojia Yuan
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Qiaoping Gao
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Xiaoyu Tan
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Yongguang Yang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Yi Xiao
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Zhanren Huang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Wei Dai
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
| | - Xiaoguang Liu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, People’s Republic of China
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Qin P, He Y, Shao H, Jiang D. Genetic insights into gut microbiota and risk of prostatitis: a Mendelian randomization study. Front Microbiol 2024; 15:1389715. [PMID: 38680919 PMCID: PMC11045958 DOI: 10.3389/fmicb.2024.1389715] [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: 02/22/2024] [Accepted: 03/29/2024] [Indexed: 05/01/2024] Open
Abstract
Background The dysbiosis of gut microbiota (GM) is considered a contributing factor to prostatitis, yet the causality remains incompletely understood. Methods The genome-wide association study (GWAS) data for GM and prostatitis were sourced from MiBioGen and FinnGen R10, respectively. In the two-sample Mendelian randomization (MR) analysis, inverse variance weighting (IVW), MR-Egger, weighted median, simple mode, weighted mode, and maximum likelihood (ML) methods were utilized to investigate the causal relationship between GM and prostatitis. A series of sensitivity analysis were conducted to confirm the robustness of the main results obtained from the MR analysis. Results According to the IVW results, genus Sutterella (OR: 1.37, 95% CI: 1.09-1.71, p = 0.006) and genus Holdemania (OR: 1.21, 95% CI: 1.02-1.43, p = 0.028) were associated with an increased risk of prostatitis. The phylum Verrucomicrobia (OR: 0.76, 95% CI: 0.58-0.98, p = 0.033) and genus Parasutterella (OR: 0.84, 95% CI: 0.70-1.00, p = 0.045) exhibited a negative association with prostatitis, indicating a potential protective effect. Sensitivity analysis showed that these results were not affected by heterogeneity and horizontal pleiotropy. Furthermore, the majority of statistical methods yielded results consistent with those of the IVW analysis. Conclusions In this study, we identified two GM taxon that might be protective against prostatitis and two GM taxon that could increase the risk of developing prostatitis. These findings could potentially provide a valuable theoretical basis for the future development of preventive and therapeutic strategies for prostatitis.
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Affiliation(s)
| | | | | | - Dawei Jiang
- Department of Urology, Zhejiang Chinese Medical University Affiliated Jiaxing TCM Hospital, Jiaxing, China
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Jin Y, Han C, Yang D, Gao S. Association between gut microbiota and diabetic nephropathy: a mendelian randomization study. Front Microbiol 2024; 15:1309871. [PMID: 38601939 PMCID: PMC11004376 DOI: 10.3389/fmicb.2024.1309871] [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: 10/16/2023] [Accepted: 03/11/2024] [Indexed: 04/12/2024] Open
Abstract
Background The correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained. Methods This research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran's Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN. Results According to IVW analysis, Class Verrucomicrobiae (p = 0.003), Order Verrucomicrobiales (p = 0.003), Family Verrucomicrobiaceae (p = 0.003), Genus Akkermansia (p = 0.003), Genus Catenibacterium (p = 0.031), Genus Coprococcus 1 (p = 0.022), Genus Eubacterium hallii group (p = 0.018), and Genus Marvinbryantia (p = 0.023) were associated with a higher risk of DN. On the contrary, Class Actinobacteria (p = 0.037), Group Eubacterium ventriosum group (p = 0.030), Group Ruminococcus gauvreauii group (p = 0.048), Order Lactobacillales (p = 0.045), Phylum Proteobacteria (p = 0.017) were associated with a lower risk of DN. The sensitivity analysis did not identify any substantial pleiotropy or heterogeneity in the outcomes. We found causal effects of DN on 11 GM species in the reverse MR analysis. Notably, Phylum Proteobacteria and DN are mutually causalities. Conclusion This study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.
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Affiliation(s)
- Yongxiu Jin
- Department of Nephrology, Tangshan Gongren Hosiptal, Tangshan, China
- Graduate School, Hebei Medical University, Shijiazhuang, China
| | - Chenxi Han
- Tangshan Maternal and Child Health Hospital, Tangshan, China
| | | | - Shanlin Gao
- Department of Nephrology, Tangshan Gongren Hosiptal, Tangshan, China
- Graduate School, Hebei Medical University, Shijiazhuang, China
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Tian Y, Xu P, Wu X, Gong Z, Yang X, Zhu H, Zhang J, Hu Y, Li G, Sang N, Yue H. Lung injuries induced by ozone exposure in female mice: Potential roles of the gut and lung microbes. ENVIRONMENT INTERNATIONAL 2024; 183:108422. [PMID: 38217903 DOI: 10.1016/j.envint.2024.108422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/28/2023] [Accepted: 01/03/2024] [Indexed: 01/15/2024]
Abstract
Ozone (O3) is one of the most harmful pollutants affecting health. However, the potential effects of O3 exposure on microbes in the gut-lung axis related to lung injuries remain elusive. In this study, female mice were exposed to 0-, 0.5- and 1-ppm O3 for 28 days, followed by routine blood tests, lung function tests and histopathological examination of the colon, nasal cavity and lung. Mouse faeces and lungs were collected for 16s rRNA sequencing to assess the overall microbiological profile and screen for key differential enriched microbes (DEMs). The key DEMs in faecal samples were Butyricimonas, Rikenellaceae RC9 and Escherichia-Shigella, whereas those in lung samples were DNF00809, Fluviicola, Bryobacter, Family XII AD3011 group, Sharpea, MND1 and unclassified Phycisphaeraceae. After a search in microbe-disease databases, these key DEMs were found to be associated with lung diseases such as lung neoplasms, cystic fibrosis, pneumonia, chronic obstructive pulmonary disease, respiratory distress syndrome and bronchiectasis. Subsequently, we used transcriptomic data from Gene Expression Omnibus (GEO) with exposure conditions similar to those in this study to cross-reference with Comparative Toxicogenomic Database (CTD). Il-6 and Ccl2 were identified as the key causative genes and were validated. The findings of this study suggest that exposure to O3 leads to significant changes in the microbial composition of the gut and lungs. These changes are associated with increased levels of inflammatory factors in the lungs and impaired lung function, resulting in an increased risk of lung disease. Altogether, this study provides novel insights into the role of microbes present in the gut-lung axis in O3 exposure-induced lung injury.
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Affiliation(s)
- Yuchai Tian
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Pengchong Xu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Xiaoyun Wu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Zhihua Gong
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China; Department of Clinical Laboratory, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tong ji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi 030032, PR China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Xiaowen Yang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Huizhen Zhu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Jiyue Zhang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Yangcheng Hu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Guangke Li
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Huifeng Yue
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China.
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Mo Z, Wang J, Meng X, Li A, Li Z, Que W, Wang T, Tarnue KF, Ma X, Liu Y, Yan S, Wu L, Zhang R, Pei J, Wang X. The Dose-Response Effect of Fluoride Exposure on the Gut Microbiome and Its Functional Pathways in Rats. Metabolites 2023; 13:1159. [PMID: 37999254 PMCID: PMC10672837 DOI: 10.3390/metabo13111159] [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: 10/24/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Metabolic activities within the gut microbiome are intimately linked to human health and disease, especially within the context of environmental exposure and its potential ramifications. Perturbations within this microbiome, termed "gut microbiome perturbations", have emerged as plausible intermediaries in the onset or exacerbation of diseases following environmental chemical exposures, with fluoride being a compound of particular concern. Despite the well-documented adverse impacts of excessive fluoride on various human physiological systems-ranging from skeletal to neurological-the nuanced dynamics between fluoride exposure, the gut microbiome, and the resulting dose-response relationship remains a scientific enigma. Leveraging the precision of 16S rRNA high-throughput sequencing, this study meticulously examines the ramifications of diverse fluoride concentrations on the gut microbiome's composition and functional capabilities within Wistar rats. Our findings indicate a profound shift in the intestinal microbial composition following fluoride exposure, marked by a dose-dependent modulation in the abundance of key genera, including Pelagibacterium, Bilophila, Turicibacter, and Roseburia. Moreover, discernible alterations were observed in critical functional and metabolic pathways of the microbiome, such as D-lyxose ketol-isomerase and DNA polymerase III subunit gamma/tau, underscoring the broad-reaching implications of fluoride exposure. Intriguingly, correlation analyses elucidated strong associations between specific bacterial co-abundance groups (CAGs) and these shifted metabolic pathways. In essence, fluoride exposure not only perturbs the compositional equilibrium of the gut microbiota but also instigates profound shifts in its metabolic landscape. These intricate alterations may provide a mechanistic foundation for understanding fluoride's potential toxicological effects mediated via gut microbiome modulation.
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Affiliation(s)
- Zhe Mo
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jian Wang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xinyue Meng
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Ailin Li
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Zhe Li
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Wenjun Que
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Tuo Wang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Korto Fatti Tarnue
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xu Ma
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Ying Liu
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Shirui Yan
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Lei Wu
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Rui Zhang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Junrui Pei
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xiaofeng Wang
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
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