Primary dysmenorrhea(PDM)is a common cyclic menstrual pain that significantly affects the quality of life for women.Several epidemiological studies have suggested a potential association between PDM and mental health ...Primary dysmenorrhea(PDM)is a common cyclic menstrual pain that significantly affects the quality of life for women.Several epidemiological studies have suggested a potential association between PDM and mental health traits,including stress,depression,and anxiety.However,there is a lack of systematic investigation into whether a causal relationship exists between PDM and mental health phenotypes compared to other physical phenotypes.In this study,we conducted a large-scale phenome study on a cohort of 7401 young female Chinese college students to explore the association between PDM and various physical and mental health phenotypes.Using a multi-phenotype correlation network model,we discovered that the correlation between the PDM phenotypes and mental health phenotypes was the most dominant among the complex inter-connections across different categories of phenotypes.Furthermore,employing a two-sample Mendelian randomiza-tion analysis,we systematically elucidated the genomic-level impact of PDM on the mental health traits of young women.Specifically,we identified an increased risk of depression and anxiety associated with PDM,potentially influenced by several Single-nucleotide polymorphism(SNP)variants such as ZMIZ1,DIO1,GRIK4 and RBFOX1.This study offers valuable insights into the genetic mechanism through which dysmenorrhea impacts mental health,which contributes to a better understanding of the comprehensive management of PDM and its associated psychological challenges.展开更多
基金supported by the National Key R&D Program of China(2024YFA0916600)Shanghai Municipal Science and Technology Major Project,Natural Science Foundation of China(32070679,U1804284,32370724,82102669)+2 种基金Taishan Scholar Program of Shandong Province(tstp20240526)Natural Science Foundation of Shandong Province(ZR2019YQ14)the fundamental research funds for the central universities(23X010302406,YG2023QNB20,YG2021QN143).
文摘Primary dysmenorrhea(PDM)is a common cyclic menstrual pain that significantly affects the quality of life for women.Several epidemiological studies have suggested a potential association between PDM and mental health traits,including stress,depression,and anxiety.However,there is a lack of systematic investigation into whether a causal relationship exists between PDM and mental health phenotypes compared to other physical phenotypes.In this study,we conducted a large-scale phenome study on a cohort of 7401 young female Chinese college students to explore the association between PDM and various physical and mental health phenotypes.Using a multi-phenotype correlation network model,we discovered that the correlation between the PDM phenotypes and mental health phenotypes was the most dominant among the complex inter-connections across different categories of phenotypes.Furthermore,employing a two-sample Mendelian randomiza-tion analysis,we systematically elucidated the genomic-level impact of PDM on the mental health traits of young women.Specifically,we identified an increased risk of depression and anxiety associated with PDM,potentially influenced by several Single-nucleotide polymorphism(SNP)variants such as ZMIZ1,DIO1,GRIK4 and RBFOX1.This study offers valuable insights into the genetic mechanism through which dysmenorrhea impacts mental health,which contributes to a better understanding of the comprehensive management of PDM and its associated psychological challenges.
