M. Fouda, B. Zarif, Victoria Samir, Sara A Mekkawy, Mohamed Omran
{"title":"金属蛋白酶-1和纤维连接蛋白组织抑制剂对心力衰竭诊断价值的评价","authors":"M. Fouda, B. Zarif, Victoria Samir, Sara A Mekkawy, Mohamed Omran","doi":"10.21608/jbaar.2022.246476","DOIUrl":null,"url":null,"abstract":"Previous research has linked an imbalance of the tissue inhibitors of metalloproteinase-1 (TIMP-1) and fibronectin (FN) to heart failure as a part of the extracellular matrix network (ECM) biochemistry profile, which is vital for cardiac homeostasis. This study aimed to assess the diagnostic performance of FN, TIMP-1, and CK-MB in heart failure (HF). Sixty patients (45 with acute and 15 with chronic HF) were recruited. Thirty individuals (20 with ischemic heart diseases, as other cardiac diseases, and 10 healthy individuals) were recruited as a control group. The biotin double antibody sandwich technology determined levels of human fibronectin and tissue inhibitors of metalloproteinase-1. FN was the most effective biomarker in differentiating HF patients from healthy individuals (AUC = 0.850) ( P < 0.001), followed by TIMP (AUC = 0.74) and CK MB (AUC = 0.660). The sensitivity and specificity of FN were 82% and 70%, respectively, at a cutoff of 80 ng/ml. In addition, FN and TIMP had the same AUC (0.71) and efficiency (65%) in distinguishing HF patients from controls, followed by CK-MB (AUC = 0.70). We developed a novel model for HF diagnosis named the HFD model based on three biomarkers (FN, TIMP, and CK MB). The HFD model had an AUC of 0.77 in distinguishing HF patients from healthy individuals, with a sensitivity, specificity, and accuracy reaching 80%. For differentiating HF patients from controls, the HFD model had 0.8 AUC, 76% sensitivity, 75% specificity, and 76% accuracy.","PeriodicalId":15163,"journal":{"name":"Journal of Bioscience and Applied Research","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of the diagnostic performances of tissue inhibitors of metalloproteinase-1 and fibronectin for heart failure\",\"authors\":\"M. Fouda, B. Zarif, Victoria Samir, Sara A Mekkawy, Mohamed Omran\",\"doi\":\"10.21608/jbaar.2022.246476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Previous research has linked an imbalance of the tissue inhibitors of metalloproteinase-1 (TIMP-1) and fibronectin (FN) to heart failure as a part of the extracellular matrix network (ECM) biochemistry profile, which is vital for cardiac homeostasis. This study aimed to assess the diagnostic performance of FN, TIMP-1, and CK-MB in heart failure (HF). Sixty patients (45 with acute and 15 with chronic HF) were recruited. Thirty individuals (20 with ischemic heart diseases, as other cardiac diseases, and 10 healthy individuals) were recruited as a control group. The biotin double antibody sandwich technology determined levels of human fibronectin and tissue inhibitors of metalloproteinase-1. FN was the most effective biomarker in differentiating HF patients from healthy individuals (AUC = 0.850) ( P < 0.001), followed by TIMP (AUC = 0.74) and CK MB (AUC = 0.660). The sensitivity and specificity of FN were 82% and 70%, respectively, at a cutoff of 80 ng/ml. In addition, FN and TIMP had the same AUC (0.71) and efficiency (65%) in distinguishing HF patients from controls, followed by CK-MB (AUC = 0.70). We developed a novel model for HF diagnosis named the HFD model based on three biomarkers (FN, TIMP, and CK MB). The HFD model had an AUC of 0.77 in distinguishing HF patients from healthy individuals, with a sensitivity, specificity, and accuracy reaching 80%. For differentiating HF patients from controls, the HFD model had 0.8 AUC, 76% sensitivity, 75% specificity, and 76% accuracy.\",\"PeriodicalId\":15163,\"journal\":{\"name\":\"Journal of Bioscience and Applied Research\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Bioscience and Applied Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/jbaar.2022.246476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bioscience and Applied Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/jbaar.2022.246476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of the diagnostic performances of tissue inhibitors of metalloproteinase-1 and fibronectin for heart failure
Previous research has linked an imbalance of the tissue inhibitors of metalloproteinase-1 (TIMP-1) and fibronectin (FN) to heart failure as a part of the extracellular matrix network (ECM) biochemistry profile, which is vital for cardiac homeostasis. This study aimed to assess the diagnostic performance of FN, TIMP-1, and CK-MB in heart failure (HF). Sixty patients (45 with acute and 15 with chronic HF) were recruited. Thirty individuals (20 with ischemic heart diseases, as other cardiac diseases, and 10 healthy individuals) were recruited as a control group. The biotin double antibody sandwich technology determined levels of human fibronectin and tissue inhibitors of metalloproteinase-1. FN was the most effective biomarker in differentiating HF patients from healthy individuals (AUC = 0.850) ( P < 0.001), followed by TIMP (AUC = 0.74) and CK MB (AUC = 0.660). The sensitivity and specificity of FN were 82% and 70%, respectively, at a cutoff of 80 ng/ml. In addition, FN and TIMP had the same AUC (0.71) and efficiency (65%) in distinguishing HF patients from controls, followed by CK-MB (AUC = 0.70). We developed a novel model for HF diagnosis named the HFD model based on three biomarkers (FN, TIMP, and CK MB). The HFD model had an AUC of 0.77 in distinguishing HF patients from healthy individuals, with a sensitivity, specificity, and accuracy reaching 80%. For differentiating HF patients from controls, the HFD model had 0.8 AUC, 76% sensitivity, 75% specificity, and 76% accuracy.