Talebabadi, Nazanin and Eusni Rahayu, Mohd Tohit and Abdullah, Maha and Siti Yazmin, Zahari Sham and Nur Fatin Zalikha, Zailan and Syafinaz, Amin Nordin and Irmi Zarina, Ismail and Ahmad Mahfuz, Gazali and Masriana, Hassan (2025) Crosstalk Between Coagulopathy and Inflammation in Obesity-Related Severe COVID-19 Infection. Hemato, 6 (4). pp. 1-16. ISSN 2673-6357. (Published)
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Abstract
Abstract: Obesity is among the most prevalent risk factors in the severe forms of Coronavirus disease 2019 (COVID-19) infection. COVID-19 patients with obesity often face severe complications that might be associated with overexpression of adiponectin, inflammatory cytokines, and angiotensin converting enzyme 2 (ACE2) receptors in visceral fat. The pre-existing subclinical inflammation associated with obesity can also lead to severe inflammatory responses. Elevation of proinflammatory cytokines considerably activates coagulation cascades, including the tissue factor (TF) pathway. The hypercoagulable state in COVID-19 is presented with severe pulmonary complications such as venous thromboembolism (VTE), disseminated intravascular coagulation (DIC), and disruption of vascular endothelial cells, which can lead to severe complications and death. The interaction between inflammatory response and coagulation mechanism in COVID-19 patients with obesity warrants a further understanding of prognosis and potential therapeutic approaches. This review discusses the crosstalk between inflammation and coagulopathy in obesity-related severe COVID-19 infection.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COVID-19; Coagulation; Inflammation; Obesity; Cytokine storm |
| Subjects: | Q Science > Q Science (General) R Medicine > RZ Other systems of medicine |
| Faculty/Division: | Faculty of Industrial Sciences And Technology |
| Depositing User: | Dr. Ahmad Mahfuz Gazali |
| Date Deposited: | 26 Feb 2025 04:37 |
| Last Modified: | 26 Feb 2025 04:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/43906 |
| Download Statistic: | View Download Statistics |
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