Hua Sun , Ling Yan , Hong Chen, Ding Wang, Chenfan Niu, Siyang Wen, Qin Hu
{"title":"血清Ninj1作为预测COVID-19患者严重程度的潜在生物标志物的评估","authors":"Hua Sun , Ling Yan , Hong Chen, Ding Wang, Chenfan Niu, Siyang Wen, Qin Hu","doi":"10.1016/j.cca.2025.120591","DOIUrl":null,"url":null,"abstract":"<div><div>Infection with SARS-CoV-2 elevates the expression of cytokines, resulting in a cytokine storm that serves as the primary factor for severe illness and mortality; however, effective markers for predicting disease severity and preventing are lacking. Thus, we investigated the association between serum levels of nerve injury-induced protein 1 (Ninj1), a mediator of plasma membrane rupture, and the extent of lung damage in COVID-19 patients was examined to anticipate the severity of SARS-CoV-2 infection. This study included 62 healthy participants and 264 patients with COVID-19. The serum levels of Ninj1, cytokines (interleukin (IL)- 1β, IL-2, IL-6, IL-8, IL-10, interferon-γ (IFN-γ), and tumor necrosis factor-alpha (TNF-α)), and inflammatory markers (C-reactive protein (CRP), procalcitonin (PCT), ferritin, and lactate dehydrogenase (LDH)) were measured and correlated with disease severity using Pearson’s correlation test. Our tests revealed that elevated levels of Ninj1, IL-6, PCT, and LDH were observed in individuals suffering from COVID-19, and these concentrations were linked to the severity of the illness. Analysis of correlation indicated that Ninj1 levels were related to the concentrations of these biomarkers. Additionally, Ninj1 expression exhibited a correlation with the viral load of SARS-CoV-2. Circulating Ninj1 levels showed good predictive potential for respiratory failure and prognosis. Finally, we found that SARS-CoV-2 infection increases serum Ninj1 levels, which are correlated with disease severity. Ninj1 could serve as a serum biomarker for forecasting the severity of COVID-19.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"579 ","pages":"Article 120591"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of serum Ninj1 as a potential biomarker for predicting severity in patients with COVID-19\",\"authors\":\"Hua Sun , Ling Yan , Hong Chen, Ding Wang, Chenfan Niu, Siyang Wen, Qin Hu\",\"doi\":\"10.1016/j.cca.2025.120591\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Infection with SARS-CoV-2 elevates the expression of cytokines, resulting in a cytokine storm that serves as the primary factor for severe illness and mortality; however, effective markers for predicting disease severity and preventing are lacking. Thus, we investigated the association between serum levels of nerve injury-induced protein 1 (Ninj1), a mediator of plasma membrane rupture, and the extent of lung damage in COVID-19 patients was examined to anticipate the severity of SARS-CoV-2 infection. This study included 62 healthy participants and 264 patients with COVID-19. The serum levels of Ninj1, cytokines (interleukin (IL)- 1β, IL-2, IL-6, IL-8, IL-10, interferon-γ (IFN-γ), and tumor necrosis factor-alpha (TNF-α)), and inflammatory markers (C-reactive protein (CRP), procalcitonin (PCT), ferritin, and lactate dehydrogenase (LDH)) were measured and correlated with disease severity using Pearson’s correlation test. Our tests revealed that elevated levels of Ninj1, IL-6, PCT, and LDH were observed in individuals suffering from COVID-19, and these concentrations were linked to the severity of the illness. Analysis of correlation indicated that Ninj1 levels were related to the concentrations of these biomarkers. Additionally, Ninj1 expression exhibited a correlation with the viral load of SARS-CoV-2. Circulating Ninj1 levels showed good predictive potential for respiratory failure and prognosis. Finally, we found that SARS-CoV-2 infection increases serum Ninj1 levels, which are correlated with disease severity. Ninj1 could serve as a serum biomarker for forecasting the severity of COVID-19.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"579 \",\"pages\":\"Article 120591\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S000989812500470X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000989812500470X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Assessment of serum Ninj1 as a potential biomarker for predicting severity in patients with COVID-19
Infection with SARS-CoV-2 elevates the expression of cytokines, resulting in a cytokine storm that serves as the primary factor for severe illness and mortality; however, effective markers for predicting disease severity and preventing are lacking. Thus, we investigated the association between serum levels of nerve injury-induced protein 1 (Ninj1), a mediator of plasma membrane rupture, and the extent of lung damage in COVID-19 patients was examined to anticipate the severity of SARS-CoV-2 infection. This study included 62 healthy participants and 264 patients with COVID-19. The serum levels of Ninj1, cytokines (interleukin (IL)- 1β, IL-2, IL-6, IL-8, IL-10, interferon-γ (IFN-γ), and tumor necrosis factor-alpha (TNF-α)), and inflammatory markers (C-reactive protein (CRP), procalcitonin (PCT), ferritin, and lactate dehydrogenase (LDH)) were measured and correlated with disease severity using Pearson’s correlation test. Our tests revealed that elevated levels of Ninj1, IL-6, PCT, and LDH were observed in individuals suffering from COVID-19, and these concentrations were linked to the severity of the illness. Analysis of correlation indicated that Ninj1 levels were related to the concentrations of these biomarkers. Additionally, Ninj1 expression exhibited a correlation with the viral load of SARS-CoV-2. Circulating Ninj1 levels showed good predictive potential for respiratory failure and prognosis. Finally, we found that SARS-CoV-2 infection increases serum Ninj1 levels, which are correlated with disease severity. Ninj1 could serve as a serum biomarker for forecasting the severity of COVID-19.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.