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COVID-19 死亡率:微生物组解释差异的可能作用。

COVID 19 mortality: Probable role of microbiome to explain disparity.

机构信息

Department of Community Medicine, Dr. Rajendra Prasad Government Medical College, Kangra at Tanda, India.

Department of Pathology, Dr. Rajendra Prasad Government Medical College, Kangra at Tanda, India.

出版信息

Med Hypotheses. 2020 Nov;144:110209. doi: 10.1016/j.mehy.2020.110209. Epub 2020 Aug 24.

DOI:10.1016/j.mehy.2020.110209
PMID:33254516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7444648/
Abstract

There is a significant difference between COVID 19 associated mortality between different countries. Generally the number of deaths per million population are higher in the developed countries despite better health care efficiency, drinking water quality and expected healthy life span (HALE) at the time of birth. Developing and underdeveloped countries on the other hand have lower mortality even with higher rural and slum populations along with incidence of diarrhea because of lack of sanitation. We analyzed data from 122 countries out of which 80 were high or upper middle income and 42 were low or low middle income countries. There was statistically significant positive correlation between COVID 19 deaths /million population and water current score, health efficiency, and HALE. Statistically significant negative correlation was observed with % rural population and fraction of diarrhea because of inadequate sanitation for all ages. Moreover analysis of 51 countries showed that there is significant negative correlation between COVID 19 deaths /million population and proportion of total population living in slums. We propose that high microbial exposure particularly gram negative bacteria can possibly induce interferon type I which might have a protective effect against COVID 19 since the countries with less mortality also tend to have lack of sanitation and high incidence of attendant diseases. So, far none of the predictive models have taken into account immune status of populations engendered by environmental microbial exposure or microbiome. There might be a need to look at dynamics of COVID 19 pandemic using immune perspective. The approach can potentially inform better policies including interventions.

摘要

不同国家的 COVID-19 死亡率存在显著差异。尽管发达国家的医疗保健效率、饮用水质量和预期出生时的健康预期寿命(HALE)更高,但每百万人口的死亡人数通常更高。另一方面,发展中国家和不发达国家的死亡率较低,尽管农村和贫民窟人口较多,加上缺乏卫生设施导致腹泻发病率较高。我们分析了来自 122 个国家的数据,其中 80 个是高收入或中上收入国家,42 个是低收入或中下收入国家。COVID-19 每百万人口死亡人数与水流评分、卫生效率和 HALE 之间存在统计学上显著的正相关。与农村人口百分比和因卫生设施不足导致的各年龄段腹泻发生率呈统计学显著负相关。此外,对 51 个国家的分析表明,COVID-19 每百万人口死亡人数与生活在贫民窟的总人口比例之间存在显著负相关。我们提出,高微生物暴露,特别是革兰氏阴性菌,可能会诱导 I 型干扰素,这可能对 COVID-19 具有保护作用,因为死亡率较低的国家往往缺乏卫生设施和较高的伴随疾病发病率。到目前为止,还没有任何预测模型考虑到人群的免疫状态,这些免疫状态是由环境微生物暴露或微生物组引起的。可能需要从免疫角度来看待 COVID-19 大流行的动态。这种方法有可能为更好的政策提供信息,包括干预措施。

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