{"title":"HIV感染与胰岛素抵抗、糖尿病之间无遗传因果关系:双向孟德尔随机分析。","authors":"Pengfei Liu, Qiurong Zeng","doi":"10.2147/JMDH.S546669","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The causal relationship between HIV infection and insulin resistance, as well as diabetes mellitus, remains uncertain. This study explores these associations using genome-wide association study data and Mendelian randomization techniques.</p><p><strong>Methods: </strong>We performed bidirectional, two-sample Mendelian randomization analyses to evaluate the causal links between HIV infection and insulin resistance, as well as type 1 diabetes, type 2 diabetes, and gestational diabetes. Additionally, we assessed the relationship between HIV infection and glycated hemoglobin. Five Mendelian randomization methods were employed: inverse variance weighting, MR-Egger, weighted median, weighted mode, and simple mode. Cochran's Q test was used to assess heterogeneity, while the MR-Egger intercept test evaluated horizontal pleiotropy. Sensitivity was evaluated using the leave-one-out method.</p><p><strong>Results: </strong>No causal effects were found between HIV infection and insulin resistance, type 1 diabetes, type 2 diabetes, gestational diabetes, or HbA1c levels. IVW analysis and other Mendelian randomization methods consistently yielded null results (all p > 0.05). Reverse Mendelian randomization analyses supported these null findings. Sensitivity analyses confirmed the robustness of our results, with no significant heterogeneity or pleiotropy detected.</p><p><strong>Conclusion: </strong>This Mendelian randomization study found no significant causal links between HIV infection and insulin resistance or diabetes mellitus. The null association with glycated hemoglobin further supports these findings. These results provide insights into the pathogenesis of insulin resistance and diabetes in individuals living with HIV, highlighting the need for further exploration of potential mediating factors, such as antiretroviral therapy, inflammation, and obesity.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"6205-6218"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495969/pdf/","citationCount":"0","resultStr":"{\"title\":\"No Genetic Causal Relationship Between HIV Infection and Insulin Resistance, Diabetes: A Bidirectional Mendelian Randomization Analysis.\",\"authors\":\"Pengfei Liu, Qiurong Zeng\",\"doi\":\"10.2147/JMDH.S546669\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The causal relationship between HIV infection and insulin resistance, as well as diabetes mellitus, remains uncertain. This study explores these associations using genome-wide association study data and Mendelian randomization techniques.</p><p><strong>Methods: </strong>We performed bidirectional, two-sample Mendelian randomization analyses to evaluate the causal links between HIV infection and insulin resistance, as well as type 1 diabetes, type 2 diabetes, and gestational diabetes. Additionally, we assessed the relationship between HIV infection and glycated hemoglobin. Five Mendelian randomization methods were employed: inverse variance weighting, MR-Egger, weighted median, weighted mode, and simple mode. Cochran's Q test was used to assess heterogeneity, while the MR-Egger intercept test evaluated horizontal pleiotropy. Sensitivity was evaluated using the leave-one-out method.</p><p><strong>Results: </strong>No causal effects were found between HIV infection and insulin resistance, type 1 diabetes, type 2 diabetes, gestational diabetes, or HbA1c levels. IVW analysis and other Mendelian randomization methods consistently yielded null results (all p > 0.05). Reverse Mendelian randomization analyses supported these null findings. Sensitivity analyses confirmed the robustness of our results, with no significant heterogeneity or pleiotropy detected.</p><p><strong>Conclusion: </strong>This Mendelian randomization study found no significant causal links between HIV infection and insulin resistance or diabetes mellitus. The null association with glycated hemoglobin further supports these findings. These results provide insights into the pathogenesis of insulin resistance and diabetes in individuals living with HIV, highlighting the need for further exploration of potential mediating factors, such as antiretroviral therapy, inflammation, and obesity.</p>\",\"PeriodicalId\":16357,\"journal\":{\"name\":\"Journal of Multidisciplinary Healthcare\",\"volume\":\"18 \",\"pages\":\"6205-6218\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495969/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Multidisciplinary Healthcare\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JMDH.S546669\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Multidisciplinary Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JMDH.S546669","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
No Genetic Causal Relationship Between HIV Infection and Insulin Resistance, Diabetes: A Bidirectional Mendelian Randomization Analysis.
Background: The causal relationship between HIV infection and insulin resistance, as well as diabetes mellitus, remains uncertain. This study explores these associations using genome-wide association study data and Mendelian randomization techniques.
Methods: We performed bidirectional, two-sample Mendelian randomization analyses to evaluate the causal links between HIV infection and insulin resistance, as well as type 1 diabetes, type 2 diabetes, and gestational diabetes. Additionally, we assessed the relationship between HIV infection and glycated hemoglobin. Five Mendelian randomization methods were employed: inverse variance weighting, MR-Egger, weighted median, weighted mode, and simple mode. Cochran's Q test was used to assess heterogeneity, while the MR-Egger intercept test evaluated horizontal pleiotropy. Sensitivity was evaluated using the leave-one-out method.
Results: No causal effects were found between HIV infection and insulin resistance, type 1 diabetes, type 2 diabetes, gestational diabetes, or HbA1c levels. IVW analysis and other Mendelian randomization methods consistently yielded null results (all p > 0.05). Reverse Mendelian randomization analyses supported these null findings. Sensitivity analyses confirmed the robustness of our results, with no significant heterogeneity or pleiotropy detected.
Conclusion: This Mendelian randomization study found no significant causal links between HIV infection and insulin resistance or diabetes mellitus. The null association with glycated hemoglobin further supports these findings. These results provide insights into the pathogenesis of insulin resistance and diabetes in individuals living with HIV, highlighting the need for further exploration of potential mediating factors, such as antiretroviral therapy, inflammation, and obesity.
期刊介绍:
The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.