Evaluation of D-Dimer, P-Selectin, and miR-17-5p Expression in ICU and Non-ICU COVID-19 Patients: A Cross-sectional Study.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2025-03-18 DOI:10.1007/s10528-025-11062-x
Vida Shirani Asl, Mohsen Moghaddami, Sahar Abbasi, Niloofar Sohrabi, Parisa Tandel, Gholamhossein Tamaddon
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引用次数: 0

Abstract

COVID-19, caused by SARS-CoV-2 infection, frequently induces thrombotic complications in affected individuals. P-selectin, a pivotal platelet marker, plays a central role in platelet-leukocyte aggregation, contributing to hemostasis and thrombosis. Additionally, D-dimer serves as an indicator of coagulation system activity, while miR-17-5p exhibits antiviral properties in respiratory infections. This study aimed to evaluate and compare the expression levels of D-dimer, P-selectin, and miR-17-5p in COVID-19 patients hospitalized in intensive care units (ICUs) and those in non-ICU wards. This cross-sectional study included 50 COVID-19 patients, divided into ICU and non-ICU groups. P-selectin expression was assessed using Flow cytometry, D-dimer levels were measured via chemiluminescence, and miR-17-5p expression was analyzed using quantitative real-time polymerase chain reaction (qRT-PCR). Our analysis revealed no significant difference in P-selectin expression levels between ICU and non-ICU patients (p = 0.1068). However, the expression levels of D-dimer and miR-17-5p were significantly elevated in ICU patients compared to non-ICU patients, with corresponding p-values of 0.032 and 0.0176, respectively. The heightened expression of D-dimer and miR-17-5p in ICU patients suggests their potential utility as predictive biomarkers for assessing the hemostatic status of COVID-19 patients.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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