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Lyu W, Li DF, Li SY, Hu H, Zhou JY, Wang L. Gut microbiota modulation: a narrative review on a novel strategy for prevention and alleviation of ovarian aging. Crit Rev Food Sci Nutr 2024:1-13. [PMID: 38835159 DOI: 10.1080/10408398.2024.2361306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
The global rise in life expectancy corresponds with a delay in childbearing age among women. Ovaries, seen as the chronometers of female physiological aging, demonstrate features of sped up aging, evidenced by the steady decline in both the quality and quantity of ovarian follicles from birth. The multifaceted pathogenesis of ovarian aging has kindled intensive research interest from the biomedical and pharmaceutical sectors. Novel studies underscore the integral roles of gut microbiota in follicular development, lipid metabolism, and hormonal regulation, forging a nexus with ovarian aging. In this review, we outline the role of gut microbiota in ovarian function (follicular development, oocyte maturation, and ovulation), compile and present gut microbiota alterations associated with age-related ovarian aging. We also discuss potential strategies for alleviating ovarian aging from the perspective of gut microbiota, such as fecal microbiota transplantation and probiotics.
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Affiliation(s)
- Wei Lyu
- Clinical Medical Research Center, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
- Department of Pharmaceutical Chemistry, University of California-San Francisco, San Francisco, California, USA
| | - De-Feng Li
- Clinical Medical Research Center, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
| | - Shu-Ying Li
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
| | - Hua Hu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
| | - Jian-Yun Zhou
- Clinical Medical Research Center, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
| | - Ling Wang
- Clinical Medical Research Center, The Second Affiliated Hospital of Army Military Medical University, Chongqing, China
- Department of Pharmaceutical Chemistry, University of California-San Francisco, San Francisco, California, USA
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Yang W, Fan X, Li W, Chen Y. Causal influence of gut microbiota on small cell lung cancer: a Mendelian randomization study. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e13764. [PMID: 38685730 PMCID: PMC11058399 DOI: 10.1111/crj.13764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/10/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Previous studies have hinted at a significant link between lung cancer and the gut microbiome, yet their causal relationship remains to be elucidated. METHODS GWAS data for small cell lung cancer (SCLC) was extracted from the FinnGen consortium, comprising 179 cases and 218 613 controls. Genetic variation data for 211 gut microbiota were obtained as instrumental variables from MiBioGen. Mendelian randomization (MR) was employed to determine the causal relationship between the two, with inverse variance weighting (IVW) being the primary method for causal analysis. The MR results were validated through several sensitivity analyses. RESULTS The study identified a protective effect against SCLC for the genus Eubacterium ruminantium group (OR = 0.413, 95% CI: 0.223-0.767, p = 0.00513), genus Barnesiella (OR = 0.208, 95% CI: 0.0640-0.678, p = 0.00919), family Lachnospiraceae (OR = 0.319, 95% CI: 0.107-0.948, p = 0.03979), and genus Butyricimonas (OR = 0.376, 95% CI: 0.144-0.984, p = 0.04634). Conversely, genus Intestinibacter (OR = 3.214, 95% CI: 1.303-7.926, p = 0.01125), genus Eubacterium oxidoreducens group (OR = 3.391, 95% CI: 1.215-9.467, p = 0.01973), genus Bilophila (OR = 3.547, 95% CI: 1.106-11.371, p = 0.03315), and order Bacillales (OR = 1.860, 95% CI: 1.034-3.347, p = 0.03842) were found to potentially promote the onset of SCLC. CONCLUSION We identified potential causal relationships between certain gut microbiota and SCLC, offering new insights into microbiome-mediated mechanisms of SCLC pathogenesis, resistance, mutations, and more.
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Affiliation(s)
- Wenjing Yang
- General Hospital of Ningxia Medical UniversityYinchuanNingxia Hui Autonomous RegionChina
| | - Xinxia Fan
- The Second Affiliated Hospital of Liaoning University of Traditional Chinese MedicineShenyangLiaoningChina
| | - Wangshu Li
- Dalian Women and Children's Medical Center (Group)DalianLiaoningChina
| | - Yan Chen
- Department of Respiratory and Critical Care MedicineGeneral Hospital of Northern Theater CommandShenyangLiaoningChina
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Hu S, Tang C, Wang L, Feng F, Li X, Sun M, Yao L. Causal relationship between gut microbiota and differentiated thyroid cancer: a two-sample Mendelian randomization study. Front Oncol 2024; 14:1375525. [PMID: 38737897 PMCID: PMC11082393 DOI: 10.3389/fonc.2024.1375525] [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: 01/24/2024] [Accepted: 04/08/2024] [Indexed: 05/14/2024] Open
Abstract
Background The gut microbiota has been significantly associated with differentiated thyroid cancer (DTC). However, the causal relationship between the gut microbiota and DTC remains unexplored. Methods Genome-wide association study (GWAS) summary databases were utilized to select exposures and outcomes. The Mendelian randomization (MR) method was employed to investigate the causal relationship between the gut microbiota and DTC. A sensitivity analysis was performed to assess the reliability of the findings. Results Four bacterial traits were associated with the risk of DTC: Class Mollicutes [odds ratio (OR) = 10.953, 95% confidence interval (95% CI): 2.333-51.428, p = 0.002], Phylum Tenericutes (OR = 10.953, 95% CI: 2.333-51.428, p = 0.002), Genus Eggerthella (OR = 3.219, 95% CI: 1.033-10.024, p = 0.044), and Order Rhodospirillales (OR = 2.829, 95% CI: 1.096-7.299, p = 0.032). The large 95% CI range for the Class Mollicutes and the Phylum Tenericutes may be attributed to the small sample size. Additionally, four other bacterial traits were negatively associated with DTC: Genus Eubacterium fissicatena group (OR = 0.381, 95% CI: 0.148-0.979, p = 0.045), Genus Lachnospiraceae UCG008 (OR = 0.317, 95% CI: 0.125-0.801, p = 0.015), Genus Christensenellaceae R-7 group (OR = 0.134, 95% CI: 0.020-0.886, p = 0.037), and Genus Escherichia Shigella (OR = 0.170, 95% CI: 0.037-0.769, p = 0.021). Conclusion These findings contribute to our understanding of the pathological mechanisms underlying DTC and provide novel insights for the clinical treatment of DTC.
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Affiliation(s)
- Shaojun Hu
- Department of Oncology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China
| | - Chuangang Tang
- Department of Breast Surgery, Xuzhou Central Hospital, The Affiliated Xuzhou Hospital of Medical College of Southeast University, Xuzhou, China
| | - Ling Wang
- Department of Critical Care Medicine, The People’s Hospital of Huaiyin, Jinan, China
| | - Fang Feng
- Department of Oncology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China
| | - Xiaoxin Li
- Department of Pathology, Xuzhou Central Hospital, The Affiliated Xuzhou Hospital of Medical College of Southeast University, Xuzhou, China
| | - Mingyu Sun
- Department of Breast Surgery, Xuzhou Central Hospital, The Affiliated Xuzhou Hospital of Medical College of Southeast University, Xuzhou, China
| | - Lijun Yao
- Department of Oncology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, 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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Wang Y, Li W, Ha C. A large-scale causal analysis of gut microbiota and endometriosis associated infertility: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37383. [PMID: 38518021 PMCID: PMC10956985 DOI: 10.1097/md.0000000000037383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/05/2024] [Indexed: 03/24/2024] Open
Abstract
Endometriosis is a prevalent condition with notable impacts on fertility. Recent studies have implicated gut microbiota in the development of endometriosis associated infertility (EAI). This study employs Mendelian randomization (MR) to elucidate the causal relationship between specific gut microbes and EAI. Using MR, we selected single nucleotide polymorphisms associated with 211 gut microbiota taxa from large-scale genome-wide association studies summary data. We applied statistical methods including inverse variance weighting, weighted median, and MR-Egger for analysis. Outliers were identified through the leave-one-out method. MR-Egger intercept tests were conducted to address horizontal pleiotropy, while Cochran Q and P values assessed heterogeneity. The false discovery rate method was used for multiple testing correction. Sensitivity analysis and F statistics evaluated the reliability and potential biases of our results. The inverse variance weighting method indicated a significant association of the genus Actinomyces (OR = 1.657, 95% CI: 1.187-2.312, P = .00298) with an increased risk of EAI. Conversely, genera Holdemania (OR = 0.630, 95% CI: 0.444-0.894, P = .00969) and Ruminococcaceae NK4A214 group (OR = 0.689, 95% CI: 0.481-0.999, P = .0439) appeared as protective factors. MR-PRESSO global test and MR-Egger regression indicated no significant horizontal pleiotropy (P > .05). Leave-one-out analysis confirmed the robustness of these findings. Our study provides evidence of a causal relationship between specific gut microbiome taxa and EAI. These findings offer novel insights and may guide the development of new preventive and therapeutic strategies for managing EAI.
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Affiliation(s)
- Yan Wang
- General Hospital of Ningxia Medical University, Yinchuan, China
| | - Wangshu Li
- Dalian Women and Children’s Medical Center (Group), Dalian, China
| | - Chunfang Ha
- General Hospital of Ningxia Medical University, Yinchuan, China
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Zhu F, Zhang P, Liu Y, Bao C, Qian D, Ma C, Li H, Yu T. Mendelian randomization suggests a causal relationship between gut dysbiosis and thyroid cancer. Front Cell Infect Microbiol 2023; 13:1298443. [PMID: 38106470 PMCID: PMC10722196 DOI: 10.3389/fcimb.2023.1298443] [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: 09/21/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Background Alterations in gut microbiota composition and function have been linked to the development and progression of thyroid cancer (TC). However, the exact nature of the causal relationship between them remains uncertain. Methods A bidirectional two-sample Mendelian randomization (TSMR) analysis was conducted to assess the causal connection between gut microbiota (18,340 individuals) and TC (6,699 cases combined with 1,613,655 controls) using data from a genome-wide association study (GWAS). The primary analysis used the inverse-variance weighted (IVW) method to estimate the causal effect, with supplementary approaches including the weighted median, weighted mode, simple mode, and MR-Egger. Heterogeneity and pleiotropy were assessed using the Cochrane Q test, MR-Egger intercept test, and MR-PRESSO global test. A reverse TSMR analysis was performed to explore reverse causality. Results This study identified seven microbial taxa with significant associations with TC. Specifically, the genus Butyrivibrio (OR: 1.127, 95% CI: 1.008-1.260, p = 0.036), Fusicatenibacter (OR: 1.313, 95% CI: 1.066-1.618, p = 0.011), Oscillospira (OR: 1.240, 95% CI: 1.001-1.536, p = 0.049), Ruminococcus2 (OR: 1.408, 95% CI: 1.158-1.711, p < 0.001), Terrisporobacter (OR: 1.241, 95% CI: 1.018-1.513, p = 0.032) were identified as risk factors for TC, while The genus Olsenella (OR: 0.882, 95% CI: 0.787-0.989, p = 0.031) and Ruminococcaceae UCG004 (OR: 0.719, 95% CI: 0.566-0.914, p = 0.007) were associated with reduced TC risk. The reverse MR analysis found no evidence of reverse causality and suggested that TC may lead to increased levels of the genus Holdemanella (β: 0.053, 95% CI: 0.012~0.094, p = 0.011) and decreased levels of the order Bacillales (β: -0.075, 95% CI: -0.143~-0.006, p = 0.033). No significant bias, heterogeneity, or pleiotropy was detected in this study. Conclusion This study suggests a potential causal relationship between gut microbiota and TC, providing new insights into the role of gut microbiota in TC. Further research is needed to explore the underlying biological mechanisms.
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Affiliation(s)
- Feng Zhu
- Department of Gastroenterology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of Gastroenterology, The First People’s Hospital of Kunshan, Suzhou, China
| | - Pengpeng Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Department of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Ying Liu
- Department of General Surgery, Affiliated Hospital of Nanjing University of TCM, Jiangsu Province Hospital of TCM, Nanjing, China
| | - Chongchan Bao
- Department of Breast and Thyroid Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Dong Qian
- Department of General Surgery, Affiliated Hospital of Nanjing University of TCM, Jiangsu Province Hospital of TCM, Nanjing, China
| | - Chaoqun Ma
- Department of General Surgery, Affiliated Hospital of Nanjing University of TCM, Jiangsu Province Hospital of TCM, Nanjing, China
| | - Hua Li
- Department of General Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Ting Yu
- Department of Gastroenterology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
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Zhang J, Wu G, Tang Y, Liu H, Ge X, Peng R, Cao J, Tu D, Su B, Jin S, Jiang G, Zhang C, Bai D. Causal associations between gut microbiota and primary biliary cholangitis: a bidirectional two-sample Mendelian randomization study. Front Microbiol 2023; 14:1273024. [PMID: 38033598 PMCID: PMC10684913 DOI: 10.3389/fmicb.2023.1273024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Background Previous studies have suggested an association between gut microbiota and primary biliary cholangitis (PBC). Nonetheless, the causal relationship between gut microbiota and PBC risk remains unclear. Methods A bidirectional two-sample Mendelian Randomization (MR) study was employed using summary statistical data for gut microbiota and PBC from the MiBioGen consortium and Genome-Wide Association Studies (GWAS) database to investigate causal relationships between 211 gut microbiota and PBC risk. Inverse variance weighted (IVW) method was the primary analytical approach to assess causality, and the pleiotropy and heterogeneity tests were employed to verify the robustness of the findings. Additionally, we performed reverse MR analyses to investigate the possibility of the reverse causal association. Results The IVW method identified five gut microbiota that demonstrated associations with the risk of PBC. Order Selenomonadales [odds ratio (OR) 2.13, 95% confidence interval (CI) 1.10-4.14, p = 0.03], Order Bifidobacteriales (OR 1.58, 95% CI 1.07-2.33, p = 0.02), and Genus Lachnospiraceae_UCG_004 (OR 1.64, 95%CI 1.06-2.55, p = 0.03) were correlated with a higher risk of PBC, while Family Peptostreptococcaceae (OR 0.65, 95%CI 0.43-0.98, p = 0.04) and Family Ruminococcaceae (OR 0.33, 95%CI 0.15-0.72, p = 0.01) had a protective effect on PBC. The reverse MR analysis demonstrated no statistically significant relationship between PBC and these five specific gut microbial taxa. Conclusion This study revealed that there was a causal relationship between specific gut microbiota taxa and PBC, which may provide novel perspectives and a theoretical basis for the clinical prevention, diagnosis, and treatment of PBC.
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Affiliation(s)
- Jiahao Zhang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
- The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, Liaoning, China
| | - Gefeng Wu
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
- The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, Liaoning, China
| | - Yuhong Tang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Huanxiang Liu
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xinyu Ge
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
- The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, Liaoning, China
| | - Rui Peng
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Jun Cao
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Daoyuan Tu
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Bingbing Su
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Shengjie Jin
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Guoqing Jiang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Chi Zhang
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Dousheng Bai
- Department of Hepatobiliary Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
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Wang J, Zhao X, Luo R, Xia D, Liu Y, Shen T, Liang Y. The causal association between systemic inflammatory regulators and primary ovarian insufficiency: a bidirectional mendelian randomization study. J Ovarian Res 2023; 16:191. [PMID: 37710281 PMCID: PMC10502980 DOI: 10.1186/s13048-023-01272-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Recent studies have suggested a potential link between systemic inflammatory regulators and primary ovarian insufficiency (POI); however, a causal relationship between them remains unclear. In this study, we explored the causal link between systemic inflammatory regulators and POI risk using a bidirectional, two-sample Mendelian randomization (MR) strategy. RESULTS This approach utilized the most extensive genome-wide association study involving 41 systemic inflammatory regulators in a sample of 8,293 Finnish individuals and POI data from the FinnGen consortium (254 cases vs. 118,228 controls). The inverse variance weighting approach served as a primary MR method, and four additional MR techniques (Maximum Likelihood, MR-Egger, Weighted Median, and constrained maximum likelihood and model averaging Bayesian information criterion ) were applied to support and validate results. Cochran's Q statistics were used to assess the heterogeneity of instrumental variables, whereas the MR-Egger and MR Pleiotropy Residual Sum and Outlier tests detected horizontal pleiotropy. The MR Steiger test evaluated the strength of a causal association. Our findings suggest that lower levels of vascular endothelial growth factor (odds ratio [OR] = 0.73, 95% confidence interval [CI]: 0.54-0.99, P = 0.046) and interleukin-10 (OR = 0.54, 95% CI: 0.33-0.85, P = 0.021) are associated with an increased risk of POI. Reverse MR analysis revealed no significant effect of POI on the expression of these 41 systemic inflammatory regulators. No notable heterogeneity or horizontal pleiotropy was observed in the instrumental variables. CONCLUSIONS This study revealed a causal association between 41 systemic inflammatory regulators and POI, demonstrating that decreased levels of VEGF and IL-10 are linked to an elevated risk of POI. Further investigations are necessary to assess the potential of these biomarkers as early predictors, preventive strategies, and therapeutic targets for POI.
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Affiliation(s)
- Jiahui Wang
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Xia Zhao
- School of Medicine, Southeast University, 210009, Nanjing, China
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Rong Luo
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Di Xia
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Yi Liu
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Tao Shen
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Yuanjiao Liang
- School of Medicine, Southeast University, 210009, Nanjing, China.
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China.
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