Sanaz Paikar, N. Bahrami, Robab Rafiei Tabatabai, A. Mohamadnia
{"title":"IP-10、MIP1α、IL-6 和 IL-1β 是与 COVID-19 疾病严重程度相关的生物标记物","authors":"Sanaz Paikar, N. Bahrami, Robab Rafiei Tabatabai, A. Mohamadnia","doi":"10.5812/jjm-144812","DOIUrl":null,"url":null,"abstract":"Background: The factors responsible for the progression of COVID-19 from a mild illness to a severe and often lethal condition, characterized by respiratory failure and multiple organ involvement, remain unclear. The identification of biomarkers capable of predicting disease progression is of the highest importance. Objectives: This study sought to assess laboratory measurements of interferon-gamma inducible protein-10 (IP-10), macrophage inflammatory protein 1-alpha (MIP1α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) to achieve this objective. Methods: We measured IP-10 and MIP1α by qRT-PCR and IL-6 and IL-1β using an enzyme-linked immunosorbent assay in 120 serum samples. We analyzed differences between patients with moderate, severe, and recovered COVID-19. Results: The number of positive cases for biomarkers IP-10, MIP1α, IL-6, and IL-1β were significantly different between groups. The expression levels of IP-10 and MIP1α were significantly higher in patients with severe COVID-19 compared to those who had recovered. A strong positive association was observed between IP-10 and MIP1α in severe infection cases. Additionally, these biomarkers were relatively independent predictors of disease severity. Conclusions: The results suggest that IP-10, MIP1α, IL-6, and IL-1β are promising research candidates for understanding the severity of COVID-19 and for investigating possible pathophysiological mechanisms of the disease.","PeriodicalId":0,"journal":{"name":"","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IP-10, MIP1α, IL-6, and IL-1β as Biomarkers Associated with Disease Severity of COVID-19\",\"authors\":\"Sanaz Paikar, N. Bahrami, Robab Rafiei Tabatabai, A. Mohamadnia\",\"doi\":\"10.5812/jjm-144812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The factors responsible for the progression of COVID-19 from a mild illness to a severe and often lethal condition, characterized by respiratory failure and multiple organ involvement, remain unclear. The identification of biomarkers capable of predicting disease progression is of the highest importance. Objectives: This study sought to assess laboratory measurements of interferon-gamma inducible protein-10 (IP-10), macrophage inflammatory protein 1-alpha (MIP1α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) to achieve this objective. Methods: We measured IP-10 and MIP1α by qRT-PCR and IL-6 and IL-1β using an enzyme-linked immunosorbent assay in 120 serum samples. We analyzed differences between patients with moderate, severe, and recovered COVID-19. Results: The number of positive cases for biomarkers IP-10, MIP1α, IL-6, and IL-1β were significantly different between groups. The expression levels of IP-10 and MIP1α were significantly higher in patients with severe COVID-19 compared to those who had recovered. A strong positive association was observed between IP-10 and MIP1α in severe infection cases. Additionally, these biomarkers were relatively independent predictors of disease severity. Conclusions: The results suggest that IP-10, MIP1α, IL-6, and IL-1β are promising research candidates for understanding the severity of COVID-19 and for investigating possible pathophysiological mechanisms of the disease.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":\" 13\",\"pages\":\"\"},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/jjm-144812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/jjm-144812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IP-10, MIP1α, IL-6, and IL-1β as Biomarkers Associated with Disease Severity of COVID-19
Background: The factors responsible for the progression of COVID-19 from a mild illness to a severe and often lethal condition, characterized by respiratory failure and multiple organ involvement, remain unclear. The identification of biomarkers capable of predicting disease progression is of the highest importance. Objectives: This study sought to assess laboratory measurements of interferon-gamma inducible protein-10 (IP-10), macrophage inflammatory protein 1-alpha (MIP1α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) to achieve this objective. Methods: We measured IP-10 and MIP1α by qRT-PCR and IL-6 and IL-1β using an enzyme-linked immunosorbent assay in 120 serum samples. We analyzed differences between patients with moderate, severe, and recovered COVID-19. Results: The number of positive cases for biomarkers IP-10, MIP1α, IL-6, and IL-1β were significantly different between groups. The expression levels of IP-10 and MIP1α were significantly higher in patients with severe COVID-19 compared to those who had recovered. A strong positive association was observed between IP-10 and MIP1α in severe infection cases. Additionally, these biomarkers were relatively independent predictors of disease severity. Conclusions: The results suggest that IP-10, MIP1α, IL-6, and IL-1β are promising research candidates for understanding the severity of COVID-19 and for investigating possible pathophysiological mechanisms of the disease.