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The Correlation of Platelet-Monocyte Aggregate Formation and IFITM3 Gene Expression with COVID-19 Severity.
- Source :
- Shiraz E Medical Journal; Oct2024, Vol. 25 Issue 10, p1-10, 10p
- Publication Year :
- 2024
-
Abstract
- Background: Platelet-leukocyte aggregates have been implicated in various infectious and inflammatory diseases. The Interferon-induced transmembrane protein 3 (IFITM3) protein plays a role in eliminating viral infections, but its role in the severity of COVID-19 is not well understood. Objectives: We aimed to investigate the correlation between IFITM3 mRNA expression and platelet-monocyte complex levels with the severity of COVID-19, as well as various inflammatory and coagulation markers. Methods: We conducted a cross-sectional study on 54 COVID-19 patients, classified into severe and mild/moderate subgroups. Demographics and laboratory findings were extracted from patients' medical records. We measured IFITM3 mRNA expression in patients' buffy coats using q-RT-PCR and used flow cytometry with CD61 and CD14 markers to measure platelet-monocyte aggregates. Results: No significant difference was found in IFITM3 mRNA expression levels or platelet-monocyte complexes between severe and mild/moderate groups (P = 0.067 and P = 0.056). Lymphocyte counts were significantly higher in the mild/moderate subgroup (21.7 ± 8.9 vs 16.3 ± 10.9, P = 0.02), while neutrophil counts were significantly higher in severe patients (78.3 ± 12.2 vs 72.3 ± 9.9, P = 0.01). Additionally, levels of CRP and LDH were significantly higher in severe COVID-19 patients (P = 0.01 and P = 0.001, respectively). A strong positive correlation was observed between the hospitalization period and CRP, CRP with neutrophils and LDH, as well as between O2 saturation and lymphocytes (P < 0.001, P = 0.0003, P = 0.002, and P = 0.005, respectively). Conclusions: Our findings suggest that IFITM3 gene expression and platelet-monocyte aggregate levels do not correlate with disease outcomes in COVID-19. However, further investigations with larger sample sizes are needed to better understand the mechanisms involved. Monitoring inflammatory and coagulation markers remains important for managing COVID-19 patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- THROMBOSIS risk factors
LEUKOCYTE count
CROSS-sectional method
FLOW cytometry
OXYGEN saturation
RISK assessment
COMMUNICABLE diseases
STATISTICAL correlation
PLATELET count
MONOCYTES
RESEARCH funding
T-test (Statistics)
DATA analysis
POLYMERASE chain reaction
NEUTROPHILS
BLOOD collection
LYMPHOCYTE count
SEVERITY of illness index
LACTATE dehydrogenase
DESCRIPTIVE statistics
MANN Whitney U Test
DECISION making in clinical medicine
INTERFERONS
BLOOD coagulation factors
MESSENGER RNA
GENE expression
ANTIGENS
MEDICAL records
ACQUISITION of data
RESEARCH
INTENSIVE care units
STATISTICS
INFLAMMATION
CYTOKINES
COMPARATIVE studies
DATA analysis software
LENGTH of stay in hospitals
COVID-19
MEMBRANE proteins
BIOMARKERS
C-reactive protein
NONPARAMETRIC statistics
EVALUATION
Subjects
Details
- Language :
- English
- ISSN :
- 17351391
- Volume :
- 25
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Shiraz E Medical Journal
- Publication Type :
- Academic Journal
- Accession number :
- 180648374
- Full Text :
- https://doi.org/10.5812/semj-146016