Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, Ajmer, Rajasthan, 305817, India.
Department of Statistics, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Sci Rep. 2022 Mar 21;12(1):4796. doi: 10.1038/s41598-022-08485-6.
The continuing evolution of SARS-CoV-2 variants not only causes a long-term global health concerns but also encounters the vaccine/drug effectiveness. The degree of virus infectivity and its clinical outcomes often depend on various biological parameters (e.g., age, genetic factors, diabetes, obesity and other ailments) of an individual along with multiple environmental factors (e.g., air temperature, humidity, seasons). Thus, despite the extensive search for and use of several vaccine/drug candidates, the combinative influence of these various extrinsic and intrinsic risk factors involved in the SARS-CoV-2 virus infectivity has yet to be explored. Previous studies have reported that environment temperature is negatively associated with virus infectivity for SARS-CoV-2. This study elaborates on our previous findings, investigating the link between environmental temperature and other metabolic parameters, such as average total cholesterol and obesity, with the increase in COVID-19 cases. Statistical analysis conducted on a per country basis not only supports the existence of a significant negative correlation between environmental temperature and SARS-CoV-2 infections but also found a strong positive correlation between COVID-19 cases and these metabolic parameters. In addition, a multiphase growth curve model (GCM) was built to predict the contribution of these covariates in SARS-CoV-2 infectivity. These findings, for first time, support the idea that there might be a combinatorial impact of environmental temperature, average total cholesterol, and obesity in the inflation of the SARS-CoV-2 infectivity.
SARS-CoV-2 变体的持续进化不仅对全球健康造成长期威胁，还影响疫苗/药物的效果。病毒的感染程度及其临床结果通常取决于个体的各种生物学参数（如年龄、遗传因素、糖尿病、肥胖症和其他疾病）以及多个环境因素（如空气温度、湿度、季节）。因此，尽管广泛寻找和使用了几种疫苗/药物候选物，但 SARS-CoV-2 病毒感染中涉及的这些各种外在和内在风险因素的综合影响尚未得到探索。先前的研究报告称，环境温度与 SARS-CoV-2 的病毒感染力呈负相关。本研究在前人的研究基础上，进一步探讨了环境温度与其他代谢参数（如平均总胆固醇和肥胖）与 COVID-19 病例增加之间的关系。对各国进行的统计分析不仅支持环境温度与 SARS-CoV-2 感染之间存在显著负相关，还发现 COVID-19 病例与这些代谢参数之间存在很强的正相关。此外，还构建了多相生长曲线模型（GCM）来预测这些协变量对 SARS-CoV-2 感染性的贡献。这些发现首次支持了这样一种观点，即环境温度、平均总胆固醇和肥胖可能会对 SARS-CoV-2 感染性的增加产生组合影响。
