BACKGROUND:Studies at home and abroad have shown that sarcopenia is closely related to metabolites.At present,the relationship between the latest 1400 blood metabolites and sarcopenia is still unknown.OBJECTIVE:To analyze the causal relationship between 1 400 metabolites and sarcopenia and its relevance with cardiovascular disease using Mendelian randomization.METHODS:Genome-wide association study(GWAS)data of sarcopenia-related characteristics(grip strength,limb muscle lean body mass,and walking speed)were obtained from the OPEN GWAS website as outcome data.A GWAS containing 1 400 metabolites was used as an exposure factor,and single nucleotide polymorphisms significantly associated with exposure factors were selected as instrumental variables.The causal association between 1 400 metabolites and sarcopenia was analyzed by"TwoSampleMR"and"gwasglue"packages of R software(V4.3.2).The research methods included inverse variance weighting,MR-Eggeer regression intercept,weighted median method,and simple mode.Heterogeneity,pleiotropic,sensitivity and other verification analysis were performed.Finally,reverse Mendelian randomization analysis was performed.RESULTS AND CONCLUSION:(1)The causal relationship between 1 400 serum metabolites and sarcopenia was analyzed by inverse variance weighting.The results showed that 1-linoleoyl-2-linoleoyl-GPC(18:2/18:3)and glycodeoxycholate 3-sulfate were protective factors,and the risk of disease decreased with the increase of metabolites(P＜0.01).(2)Two unknown metabolites(X-12822 and X-15486)and trans-3,4-methyleneheptanoate were risk factors.With the increase of two unknown metabolites(X-12822 and X-15486),the degree of low grip strength of male hands increased.Similarly,with the increase of trans-3,4-methylene heptanoate,the risk of disease also increased(P＜0.01).(3)To conclude,1-linoleoyl-2-linoleoyl-GPC(18:2/18:3)and glycodeoxycholate 3-sulfate have inhibitory effects on sarcopenia.Two unknown metabolites(X-12822 and X-15486)and trans-3,4-methyleneheptanoate can promote sarcopenia.This may be a new idea and new basis for sarcopenia research and treatment in the future.This study will also provide a reference for the study of the role of related metabolites in the Chinese population.

BACKGROUND:The relationship between rheumatoid arthritis and coronary atherosclerosis has received extensive attention.Inflammation is related to rheumatoid arthritis and coronary atherosclerosis,indicating that there may be a common pathophysiological pathway between the two diseases.However,observational studies have not yet clarified the causal relationship.OBJECTIVE:To explore whether there is a causal relationship between rheumatoid arthritis and coronary atherosclerosis,as well as the potential causal relationship with 1 400 serum metabolites and 91 inflammatory factors through a Mendelian randomization analysis.METHODS:Coronary atherosclerosis data are from Finngen database,rheumatoid arthritis data are from IEU OpenGWAS database,serum metabolites data are from Canadian Longitudinal Study on Aging,Augsburg Cooperative Health Research and British Twin Project Research,and data of 91 inflammatory proteins are from research published in Nature Immunology in 2023.Mendelian randomization analysis was performed using data from genome-wide association studies,and causal effects were evaluated using inverse variance weighting,MR-Egger regression,weighted median,weighted model,and simple model methods,with inverse variance weighting being the primary analysis method.To enhance robustness,Cochran's Q-test MR-Egger intercept was used for sensitivity analysis.RESULTS AND CONCLUSION:(1)Inverse variance weighting results showed that rheumatoid arthritis was positively correlated with the increased relative risk of coronary atherosclerosis(odds ratio=1.002,95％confidence interval=1.001-1.003,P=0.003).There was no reverse causal relationship between coronary atherosclerosis and rheumatoid arthritis.In addition,96 serum metabolites and 9 inflammatory factors were found to have causal relationships with coronary atherosclerosis.There was a causal relationship between 51 serum metabolites and 7 inflammatory factors and rheumatoid arthritis.(2)This study provided epidemiological evidence between rheumatoid arthritis and coronary atherosclerosis,and emphasized the potential role of serum metabolites and inflammatory factors in the pathogenesis of these diseases.These findings may contribute to the development of new treatment strategies.Due to the limited inclusion of data from Asian populations,most contemporary studies used international databases and European population analyses.By collecting and analyzing the health data of European populations,it is conducive to a better understanding of the effects and potential role of Chinese medicine in Europe,and to further promote the practice of modern integration of Western and Chinese medicine.Meanwhile,through the comparative study with the European databases,it is possible to reveal the genetic differences and susceptibility to diseases among different populations,providing more dimensions and perspectives for global health research.

BACKGROUND:Studies at home and abroad have shown that sarcopenia is closely related to metabolites.At present,the relationship between the latest 1400 blood metabolites and sarcopenia is still unknown.OBJECTIVE:To analyze the causal relationship between 1 400 metabolites and sarcopenia and its relevance with cardiovascular disease using Mendelian randomization.METHODS:Genome-wide association study(GWAS)data of sarcopenia-related characteristics(grip strength,limb muscle lean body mass,and walking speed)were obtained from the OPEN GWAS website as outcome data.A GWAS containing 1 400 metabolites was used as an exposure factor,and single nucleotide polymorphisms significantly associated with exposure factors were selected as instrumental variables.The causal association between 1 400 metabolites and sarcopenia was analyzed by"TwoSampleMR"and"gwasglue"packages of R software(V4.3.2).The research methods included inverse variance weighting,MR-Eggeer regression intercept,weighted median method,and simple mode.Heterogeneity,pleiotropic,sensitivity and other verification analysis were performed.Finally,reverse Mendelian randomization analysis was performed.RESULTS AND CONCLUSION:(1)The causal relationship between 1 400 serum metabolites and sarcopenia was analyzed by inverse variance weighting.The results showed that 1-linoleoyl-2-linoleoyl-GPC(18:2/18:3)and glycodeoxycholate 3-sulfate were protective factors,and the risk of disease decreased with the increase of metabolites(P＜0.01).(2)Two unknown metabolites(X-12822 and X-15486)and trans-3,4-methyleneheptanoate were risk factors.With the increase of two unknown metabolites(X-12822 and X-15486),the degree of low grip strength of male hands increased.Similarly,with the increase of trans-3,4-methylene heptanoate,the risk of disease also increased(P＜0.01).(3)To conclude,1-linoleoyl-2-linoleoyl-GPC(18:2/18:3)and glycodeoxycholate 3-sulfate have inhibitory effects on sarcopenia.Two unknown metabolites(X-12822 and X-15486)and trans-3,4-methyleneheptanoate can promote sarcopenia.This may be a new idea and new basis for sarcopenia research and treatment in the future.This study will also provide a reference for the study of the role of related metabolites in the Chinese population.

BACKGROUND:The relationship between rheumatoid arthritis and coronary atherosclerosis has received extensive attention.Inflammation is related to rheumatoid arthritis and coronary atherosclerosis,indicating that there may be a common pathophysiological pathway between the two diseases.However,observational studies have not yet clarified the causal relationship.OBJECTIVE:To explore whether there is a causal relationship between rheumatoid arthritis and coronary atherosclerosis,as well as the potential causal relationship with 1 400 serum metabolites and 91 inflammatory factors through a Mendelian randomization analysis.METHODS:Coronary atherosclerosis data are from Finngen database,rheumatoid arthritis data are from IEU OpenGWAS database,serum metabolites data are from Canadian Longitudinal Study on Aging,Augsburg Cooperative Health Research and British Twin Project Research,and data of 91 inflammatory proteins are from research published in Nature Immunology in 2023.Mendelian randomization analysis was performed using data from genome-wide association studies,and causal effects were evaluated using inverse variance weighting,MR-Egger regression,weighted median,weighted model,and simple model methods,with inverse variance weighting being the primary analysis method.To enhance robustness,Cochran's Q-test MR-Egger intercept was used for sensitivity analysis.RESULTS AND CONCLUSION:(1)Inverse variance weighting results showed that rheumatoid arthritis was positively correlated with the increased relative risk of coronary atherosclerosis(odds ratio=1.002,95％confidence interval=1.001-1.003,P=0.003).There was no reverse causal relationship between coronary atherosclerosis and rheumatoid arthritis.In addition,96 serum metabolites and 9 inflammatory factors were found to have causal relationships with coronary atherosclerosis.There was a causal relationship between 51 serum metabolites and 7 inflammatory factors and rheumatoid arthritis.(2)This study provided epidemiological evidence between rheumatoid arthritis and coronary atherosclerosis,and emphasized the potential role of serum metabolites and inflammatory factors in the pathogenesis of these diseases.These findings may contribute to the development of new treatment strategies.Due to the limited inclusion of data from Asian populations,most contemporary studies used international databases and European population analyses.By collecting and analyzing the health data of European populations,it is conducive to a better understanding of the effects and potential role of Chinese medicine in Europe,and to further promote the practice of modern integration of Western and Chinese medicine.Meanwhile,through the comparative study with the European databases,it is possible to reveal the genetic differences and susceptibility to diseases among different populations,providing more dimensions and perspectives for global health research.