Transcriptomic Analysis of Coagulation Gene Expression in COVID-19 Patients

The immunopathogenesis of COVID-19 infection is reported to begin with the entry of the SARS-CoV-2 virus into the human body through droplets, entering the lungs, and binding to the ACE-2 receptor. Meanwhile, activated macrophages stimulate an immune and inflammatory response, activating the coagulation cascade. This activation in COVID-19 patients can exacerbate the condition and may result in acute respiratory distress syndrome (ARDS). The coagulation cascade is influenced by the expression of related genes, including F3, F5, F8, F12, F13A1, VWF, THBD, PROC, PROCR, PROS1, SERPINE1, A2M, and PLAUR. This cross-sectional study was conducted in 2022, with 22 mild COVID-19 cases, 35 moderate-to-severe cases, and 20 healthy control individuals from Dr. M. Djamil Padang General Hospital in West Sumatra, Indonesia. Coagulation gene expression data using the RNA-Seq method with transcriptomic analysis were collected and recorded in transcript per-million (TPM) units. The results showed a significant difference in the expression of coagulation genes in moderate-to-severe compared to mild COVID-19 patients and healthy controls. The analysis of log2 folds change has a statistically significant increase observed in the expression of coagulation genes and a significant difference in the expression of coagulation genes among moderate-to-severe and mild patients, as well as healthy controls. The results underscored the impact of COVID-19 infection on the activity of coagulation cascade genes, which could influence the condition of patients and serve as a reference for therapy.

Authors

Institutions

Publication Details

Journal
International Journal on Advanced Science Engineering and Information Technology
Published
2024-12-25
DOI
https://doi.org/10.18517/ijaseit.14.6.20019
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic Analysis of Coagulation Gene Expression in COVID-19 Patients

Raveinal Raveinal, Aisyah Elliyanti, Ika Kurnia Febrianti, Andani Eka Putra
International Journal on Advanced Science Engineering and Information Technology
COVID-19 Clinical Research Studies
article

Transcriptomic Analysis of Coagulation Gene Expression in COVID-19 Patients

Raveinal Raveinal, Aisyah Elliyanti, Ika Kurnia Febrianti, Andani Eka Putra
article en

Abstract

The immunopathogenesis of COVID-19 infection is reported to begin with the entry of the SARS-CoV-2 virus into the human body through droplets, entering the lungs, and binding to the ACE-2 receptor. Meanwhile, activated macrophages stimulate an immune and inflammatory response, activating the coagulation cascade. This activation in COVID-19 patients can exacerbate the condition and may result in acute respiratory distress syndrome (ARDS). The coagulation cascade is influenced by the expression of related genes, including F3, F5, F8, F12, F13A1, VWF, THBD, PROC, PROCR, PROS1, SERPINE1, A2M, and PLAUR. This cross-sectional study was conducted in 2022, with 22 mild COVID-19 cases, 35 moderate-to-severe cases, and 20 healthy control individuals from Dr. M. Djamil Padang General Hospital in West Sumatra, Indonesia. Coagulation gene expression data using the RNA-Seq method with transcriptomic analysis were collected and recorded in transcript per-million (TPM) units. The results showed a significant difference in the expression of coagulation genes in moderate-to-severe compared to mild COVID-19 patients and healthy controls. The analysis of log2 folds change has a statistically significant increase observed in the expression of coagulation genes and a significant difference in the expression of coagulation genes among moderate-to-severe and mild patients, as well as healthy controls. The results underscored the impact of COVID-19 infection on the activity of coagulation cascade genes, which could influence the condition of patients and serve as a reference for therapy.

International Journal on Advanced Science Engineering and Information TechnologyVol. 14(6)
Andalas University (ID)
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Good health and well-being
Openalex Percentile: Top 69%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transcriptomic Analysis of Coagulation Gene Expression in COVID-19 Patients — Raveinal Raveinal, Aisyah Elliyanti, et al. · International Journal on Advanced Science Engineering and Information Technology (2024) | TGRS Research Map | TGRS