Abstract

Oxygen is essential for living organisms that perform aerobic respiration since cells begin to die when humans and animals are deprived of oxygen. Oxygen saturation decreases and shortness of breath occurs in coronavirus (COVID-19) disease. Therefore, in this study, we aimed to determine the changes in hypoxia-inducible factor-1α (HIF-1α), subfatin, asprosin, irisin, C-reactive protein (C-RP), Maresin-1 (MaR-1), and diamine oxidase (DAO) molecules in diabetic patients with coronavirus according to their oxygen saturations. Participants were classified into 4 Groups of 22, including patients with oxygen saturation between 95% and 100% (Group I, control), between 80% and 85% (Group II), between 75% and 79% (Group III), and between 70% and 74% (Group IV). COVID-19 was diagnosed with PCR testing and 5 mL of blood was taken following the diagnosis. HIF-1α, subfatin, asprosin, irisin, MaR-1, and DAO values of the participants were measured with ELISA. Other parameters used in the study were obtained from the records of the patients. When Group I was compared to Groups II, there was no significant change in Group II while HIF-1α, subfatin, asprosin, irisin, C-RP, and DAO counts had increased significantly in Groups III and IV. When the MaR-1 values were examined, they were reported to have decreased significantly in Groups III and IV (p < 0.05). Similarly, when Group II and Group IV were compared, HIF-1α, subfatin, asprosin, irisin, C-RP, and DAO values of the participants in Group IV had significantly increased while MaR-1 values had significantly decreased (p < 0.05). In the case of oxygen saturation decreasing below the critical value (70-74%) in patients with coronavirus, the release of HIF-1HIF-1α, subfatin, asprosin, irisin, C-RP, and DAO increased while the MaR-1 values decreased (p < 0.05). Changes in these molecules in patients with coronavirus and diabetes according to their oxygen saturation suggested that they functioned as the "metabolic oxygen sensors" of the metabolism. Therefore, according to these data, it was predicted that these molecules had the potential to be used in the diagnosis and follow-up of diseases related to oxygen (such as asthma, and critical intensive care patients) in clinics in the future.

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