{"title":"血浆氨基酸谱鉴定对心力衰竭患者具有预测和诊断价值","authors":"Veysel Tosun, M.D, Yasemin Behram Kandemir M.D, İsmail Koyuncu, M.D, Özgür Yüksekdağ, M.D, Ünal Güntekin, M.D","doi":"10.18535/ijmsci/v10i9.02","DOIUrl":null,"url":null,"abstract":"Background: Metabolic disruptions have effects on the pathogenesis and progression of heart failure (HF). Because of these disruptions are remarkable in HF patients, identity of new biomarkers is necessary to facilitate the determination of HF. In the present study we planned to evaluate the relationship between plasma amino acids and HF. Materials and methods: 40 patients with cardiomyopathy (CMP) and 40 healthy controls were included in this cross-sectional prospective study. A profile consisting of 26 amino acids was measured by liquid chromatography and mass spectrometry method (LC-MS) from blood samples taken from fasting plasma. Results: 5 amino acids (asparagine, beta-alanine, phenylalanine, tyrosine, and isoleucine) levels were higher in CMP patients. Glutamine, isoleucine, and glycine could effectively distinguish CMP and healthy controls. Isoleucine and beta-alanine may be potential biomarkers for CMP. Isoleucine/alloisoleucine, histidine/isoleucine, aspartic acid/isoleucine, and glycine/phenylalanine could predict CMP patients. Three differential pathways (phenylalanine metabolism, tyrosine metabolism, and phenylalanine, tyrosine, tryptophan biosynthesis) were found to be the underlying molecular metabolisms of HF. Conclusion: The present study demonstrating that fasting plasma amino acids were closely associated with HF. Monitoring these amino acids with LC-MS could help the diagnosis and predicting HF, and provide new diagnostic goals and curative practices.","PeriodicalId":14151,"journal":{"name":"International Journal Of Medical Science And Clinical Invention","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Amino Acid Profile Identified In Plasma Has Predictive and Diagnostic Value in Heart Failure Patients\",\"authors\":\"Veysel Tosun, M.D, Yasemin Behram Kandemir M.D, İsmail Koyuncu, M.D, Özgür Yüksekdağ, M.D, Ünal Güntekin, M.D\",\"doi\":\"10.18535/ijmsci/v10i9.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Metabolic disruptions have effects on the pathogenesis and progression of heart failure (HF). Because of these disruptions are remarkable in HF patients, identity of new biomarkers is necessary to facilitate the determination of HF. In the present study we planned to evaluate the relationship between plasma amino acids and HF. Materials and methods: 40 patients with cardiomyopathy (CMP) and 40 healthy controls were included in this cross-sectional prospective study. A profile consisting of 26 amino acids was measured by liquid chromatography and mass spectrometry method (LC-MS) from blood samples taken from fasting plasma. Results: 5 amino acids (asparagine, beta-alanine, phenylalanine, tyrosine, and isoleucine) levels were higher in CMP patients. Glutamine, isoleucine, and glycine could effectively distinguish CMP and healthy controls. Isoleucine and beta-alanine may be potential biomarkers for CMP. Isoleucine/alloisoleucine, histidine/isoleucine, aspartic acid/isoleucine, and glycine/phenylalanine could predict CMP patients. Three differential pathways (phenylalanine metabolism, tyrosine metabolism, and phenylalanine, tyrosine, tryptophan biosynthesis) were found to be the underlying molecular metabolisms of HF. Conclusion: The present study demonstrating that fasting plasma amino acids were closely associated with HF. Monitoring these amino acids with LC-MS could help the diagnosis and predicting HF, and provide new diagnostic goals and curative practices.\",\"PeriodicalId\":14151,\"journal\":{\"name\":\"International Journal Of Medical Science And Clinical Invention\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal Of Medical Science And Clinical Invention\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18535/ijmsci/v10i9.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Of Medical Science And Clinical Invention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18535/ijmsci/v10i9.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Amino Acid Profile Identified In Plasma Has Predictive and Diagnostic Value in Heart Failure Patients
Background: Metabolic disruptions have effects on the pathogenesis and progression of heart failure (HF). Because of these disruptions are remarkable in HF patients, identity of new biomarkers is necessary to facilitate the determination of HF. In the present study we planned to evaluate the relationship between plasma amino acids and HF. Materials and methods: 40 patients with cardiomyopathy (CMP) and 40 healthy controls were included in this cross-sectional prospective study. A profile consisting of 26 amino acids was measured by liquid chromatography and mass spectrometry method (LC-MS) from blood samples taken from fasting plasma. Results: 5 amino acids (asparagine, beta-alanine, phenylalanine, tyrosine, and isoleucine) levels were higher in CMP patients. Glutamine, isoleucine, and glycine could effectively distinguish CMP and healthy controls. Isoleucine and beta-alanine may be potential biomarkers for CMP. Isoleucine/alloisoleucine, histidine/isoleucine, aspartic acid/isoleucine, and glycine/phenylalanine could predict CMP patients. Three differential pathways (phenylalanine metabolism, tyrosine metabolism, and phenylalanine, tyrosine, tryptophan biosynthesis) were found to be the underlying molecular metabolisms of HF. Conclusion: The present study demonstrating that fasting plasma amino acids were closely associated with HF. Monitoring these amino acids with LC-MS could help the diagnosis and predicting HF, and provide new diagnostic goals and curative practices.