Sultan Qaboos University, Muscat, Oman.
Oman Medical College, National University, Muscat, Oman.
Clinics (Sao Paulo). 2024 Mar 28;79:100344. doi: 10.1016/j.clinsp.2024.100344. eCollection 2024.
This controlled study investigated metabolic changes in non-vaccinated individuals with Long-COVID-19, along with their connection to the severity of the disease. The study involved 88 patients who experienced varying levels of initial disease severity (mild, moderate, and severe), and a control group of 29 healthy individuals. Metabolic risk markers from fasting blood samples were analyzed, and data regarding disease severity indicators were collected. Findings indicated significant metabolic shifts in severe Long-COVID-19 cases, mainly a marked drop in HDL-C levels and a doubled increase in ferritin levels and insulin resistance compared to the mild cases and controls. HDL-C and ferritin were identified as the leading factors predicted by disease severity. In conclusion, the decline in HDL-C levels and rise in ferritin levels seen in Long-COVID-19 individuals, largely influenced by the severity of the initial infection, could potentially play a role in the persistence and progression of Long-COVID-19. Hence, these markers could be considered as possible therapeutic targets, and help shape preventive strategies to reduce the long-term impacts of the disease.
本对照研究调查了未经疫苗接种的长新冠患者的代谢变化及其与疾病严重程度的关系。该研究纳入了 88 名经历不同初始疾病严重程度(轻度、中度和重度)的患者,以及 29 名健康对照者。对空腹血样的代谢风险标志物进行了分析,并收集了有关疾病严重程度指标的数据。研究结果表明,严重长新冠病例的代谢变化显著,主要表现为与轻度病例和对照组相比,HDL-C 水平显著下降,铁蛋白水平升高一倍,胰岛素抵抗增加。HDL-C 和铁蛋白被确定为预测疾病严重程度的主要因素。总之,长新冠患者中观察到的 HDL-C 水平下降和铁蛋白水平升高,主要受初始感染严重程度的影响,可能在长新冠的持续和进展中发挥作用。因此,这些标志物可被视为可能的治疗靶点,并有助于制定预防策略,以降低疾病的长期影响。