Li Li, Juanjuan Ma, Ningyu Sun, Panwei Hu, Yi Lin, Qinhua Zhang
{"title":"代谢综合征、血浆代谢物和女性生殖疾病之间的因果关系:来自两步孟德尔随机化方法的见解","authors":"Li Li, Juanjuan Ma, Ningyu Sun, Panwei Hu, Yi Lin, Qinhua Zhang","doi":"10.1186/s12986-025-00955-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Female reproductive diseases-including endometriosis (EMs), uterine fibroids (UFs), polycystic ovary syndrome (PCOS), gestational diabetes mellitus (GDM), eclampsia, ectopic pregnancy (EP), infertility, miscarriage, and ovarian aging-pose significant global health challenges. Metabolic syndrome (MetS) is characterized by a series of metabolic irregularities and has been linked to distinct plasma metabolomic profiles. Investigating the etiological connections among MetS, plasma metabolites, and female reproductive diseases is essential for devising effective prevention and treatment strategies.</p><p><strong>Objective: </strong>This study sought to evaluate the causal relationships among MetS, plasma metabolites, and female reproductive diseases using a two-step Mendelian randomization (MR) methodology.</p><p><strong>Methods: </strong>Initially, MR investigations were conducted to determine the causative impact of MetS on nine female reproductive diseases utilizing genome-wide association study (GWAS) data procured from European-descent populations. Statistically significant associations were identified for five diseases: UF, PCOS, GDM, eclampsia, and miscarriage. One hypothesis is that plasma metabolites may contribute to these associations. Subsequently, comprehensive MR analyses were performed using GWAS data on 233 plasma metabolites to examine causal relationships between these MetS-associated reproductive conditions and eight distinct classes of plasma metabolites. Sensitivity analyses, replication studies, and colocalization assessments were performed to validate the reliability of the outcomes.</p><p><strong>Results: </strong>MetS was identified as a causal factor for increased risks of UF, PCOS, GDM, eclampsia, and miscarriage. Further MR analyses revealed that specific plasma metabolites might causally affect the risk of female reproductive diseases: Eclampsia: Protective associations were observed with lipid molecules in large and very large high-density lipoprotein (HDL) particles, including cholesterol esters and total cholesterol. Conversely, triglycerides in large HDL particles and indicators related to small HDL particles were linked to increased risk. PCOS: Risk factors included elevated levels of triglycerides in HDL particles, various very low-density lipoprotein metabolites, acetone, 3-hydroxybutyrate, and conjugated linoleic acid. GDM: Increased glucose levels were associated with increased GDM risk.</p><p><strong>Conclusions: </strong>This investigation established that MetS causally elevates the risk of certain female reproductive diseases and identified plasma metabolites that influence these conditions. These findings enhance the understanding of the etiological pathways involved in MetS and reproductive disorders, highlighting plasma metabolites as potential biomarkers or therapeutic targets.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"60"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164183/pdf/","citationCount":"0","resultStr":"{\"title\":\"Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach.\",\"authors\":\"Li Li, Juanjuan Ma, Ningyu Sun, Panwei Hu, Yi Lin, Qinhua Zhang\",\"doi\":\"10.1186/s12986-025-00955-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Female reproductive diseases-including endometriosis (EMs), uterine fibroids (UFs), polycystic ovary syndrome (PCOS), gestational diabetes mellitus (GDM), eclampsia, ectopic pregnancy (EP), infertility, miscarriage, and ovarian aging-pose significant global health challenges. Metabolic syndrome (MetS) is characterized by a series of metabolic irregularities and has been linked to distinct plasma metabolomic profiles. Investigating the etiological connections among MetS, plasma metabolites, and female reproductive diseases is essential for devising effective prevention and treatment strategies.</p><p><strong>Objective: </strong>This study sought to evaluate the causal relationships among MetS, plasma metabolites, and female reproductive diseases using a two-step Mendelian randomization (MR) methodology.</p><p><strong>Methods: </strong>Initially, MR investigations were conducted to determine the causative impact of MetS on nine female reproductive diseases utilizing genome-wide association study (GWAS) data procured from European-descent populations. Statistically significant associations were identified for five diseases: UF, PCOS, GDM, eclampsia, and miscarriage. One hypothesis is that plasma metabolites may contribute to these associations. Subsequently, comprehensive MR analyses were performed using GWAS data on 233 plasma metabolites to examine causal relationships between these MetS-associated reproductive conditions and eight distinct classes of plasma metabolites. Sensitivity analyses, replication studies, and colocalization assessments were performed to validate the reliability of the outcomes.</p><p><strong>Results: </strong>MetS was identified as a causal factor for increased risks of UF, PCOS, GDM, eclampsia, and miscarriage. Further MR analyses revealed that specific plasma metabolites might causally affect the risk of female reproductive diseases: Eclampsia: Protective associations were observed with lipid molecules in large and very large high-density lipoprotein (HDL) particles, including cholesterol esters and total cholesterol. Conversely, triglycerides in large HDL particles and indicators related to small HDL particles were linked to increased risk. PCOS: Risk factors included elevated levels of triglycerides in HDL particles, various very low-density lipoprotein metabolites, acetone, 3-hydroxybutyrate, and conjugated linoleic acid. GDM: Increased glucose levels were associated with increased GDM risk.</p><p><strong>Conclusions: </strong>This investigation established that MetS causally elevates the risk of certain female reproductive diseases and identified plasma metabolites that influence these conditions. These findings enhance the understanding of the etiological pathways involved in MetS and reproductive disorders, highlighting plasma metabolites as potential biomarkers or therapeutic targets.</p>\",\"PeriodicalId\":19196,\"journal\":{\"name\":\"Nutrition & Metabolism\",\"volume\":\"22 1\",\"pages\":\"60\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164183/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition & Metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12986-025-00955-8\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00955-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Causal relationships between metabolic syndrome, plasma metabolites, and female reproductive diseases: insights from a two-step mendelian randomization approach.
Background: Female reproductive diseases-including endometriosis (EMs), uterine fibroids (UFs), polycystic ovary syndrome (PCOS), gestational diabetes mellitus (GDM), eclampsia, ectopic pregnancy (EP), infertility, miscarriage, and ovarian aging-pose significant global health challenges. Metabolic syndrome (MetS) is characterized by a series of metabolic irregularities and has been linked to distinct plasma metabolomic profiles. Investigating the etiological connections among MetS, plasma metabolites, and female reproductive diseases is essential for devising effective prevention and treatment strategies.
Objective: This study sought to evaluate the causal relationships among MetS, plasma metabolites, and female reproductive diseases using a two-step Mendelian randomization (MR) methodology.
Methods: Initially, MR investigations were conducted to determine the causative impact of MetS on nine female reproductive diseases utilizing genome-wide association study (GWAS) data procured from European-descent populations. Statistically significant associations were identified for five diseases: UF, PCOS, GDM, eclampsia, and miscarriage. One hypothesis is that plasma metabolites may contribute to these associations. Subsequently, comprehensive MR analyses were performed using GWAS data on 233 plasma metabolites to examine causal relationships between these MetS-associated reproductive conditions and eight distinct classes of plasma metabolites. Sensitivity analyses, replication studies, and colocalization assessments were performed to validate the reliability of the outcomes.
Results: MetS was identified as a causal factor for increased risks of UF, PCOS, GDM, eclampsia, and miscarriage. Further MR analyses revealed that specific plasma metabolites might causally affect the risk of female reproductive diseases: Eclampsia: Protective associations were observed with lipid molecules in large and very large high-density lipoprotein (HDL) particles, including cholesterol esters and total cholesterol. Conversely, triglycerides in large HDL particles and indicators related to small HDL particles were linked to increased risk. PCOS: Risk factors included elevated levels of triglycerides in HDL particles, various very low-density lipoprotein metabolites, acetone, 3-hydroxybutyrate, and conjugated linoleic acid. GDM: Increased glucose levels were associated with increased GDM risk.
Conclusions: This investigation established that MetS causally elevates the risk of certain female reproductive diseases and identified plasma metabolites that influence these conditions. These findings enhance the understanding of the etiological pathways involved in MetS and reproductive disorders, highlighting plasma metabolites as potential biomarkers or therapeutic targets.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.