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英国生物银行的基线心血管代谢特征和 SARS-CoV-2 感染。

Baseline cardiometabolic profiles and SARS-CoV-2 infection in the UK Biobank.

机构信息

Medical Scientist Training Program, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.

Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.

出版信息

PLoS One. 2021 Apr 1;16(4):e0248602. doi: 10.1371/journal.pone.0248602. eCollection 2021.

Abstract

BACKGROUND

SARS-CoV-2 is a rapidly spreading coronavirus responsible for the Covid-19 pandemic, which is characterized by severe respiratory infection. Many factors have been identified as risk factors for SARS-CoV-2, with much early attention being paid to body mass index (BMI), which is a well-known cardiometabolic risk factor.

OBJECTIVE

This study seeks to examine the impact of additional baseline cardiometabolic risk factors including high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), Apolipoprotein A-I (ApoA-I), Apolipoprotein B (ApoB), triglycerides, hemoglobin A1c (HbA1c) and diabetes on the odds of testing positive for SARS-CoV-2 in UK Biobank (UKB) study participants.

METHODS

We examined the effect of BMI, lipid profiles, diabetes and alcohol intake on the odds of testing positive for SARS-Cov-2 among 9,005 UKB participants tested for SARS-CoV-2 from March 16 through July 14, 2020. Odds ratios and 95% confidence intervals were computed using logistic regression adjusted for age, sex and ancestry.

RESULTS

Higher BMI, Type II diabetes and HbA1c were associated with increased SARS-CoV-2 odds (p < 0.05) while HDL-C and ApoA-I were associated with decreased odds (p < 0.001). Though the effect of BMI, Type II diabetes and HbA1c were eliminated when HDL-C was controlled, the effect of HDL-C remained significant when BMI was controlled for. LDL-C, ApoB and triglyceride levels were not found to be significantly associated with increased odds.

CONCLUSION

Elevated HDL-C and ApoA-I levels were associated with reduced odds of testing positive for SARS-CoV-2, while higher BMI, type II diabetes and HbA1c were associated with increased odds. The effects of BMI, type II diabetes and HbA1c levels were no longer significant after controlling for HDL-C, suggesting that these effects may be mediated in part through regulation of HDL-C levels. In summary, our study suggests that baseline HDL-C level may be useful for stratifying SARS-CoV-2 infection risk and corroborates the emerging picture that HDL-C may confer protection against sepsis in general and SARS-CoV-2 in particular.

摘要

背景

SARS-CoV-2 是一种快速传播的冠状病毒,导致了 COVID-19 大流行,其特征是严重的呼吸道感染。许多因素已被确定为 SARS-CoV-2 的危险因素,早期很多人关注体重指数(BMI),它是一个众所周知的心脏代谢危险因素。

目的

本研究旨在检查其他基线心脏代谢危险因素(包括高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、载脂蛋白 A-I(ApoA-I)、载脂蛋白 B(ApoB)、甘油三酯、糖化血红蛋白(HbA1c)和糖尿病)对英国生物银行(UKB)研究参与者 SARS-CoV-2 检测呈阳性的几率的影响。

方法

我们研究了 BMI、血脂谱、糖尿病和饮酒量对 2020 年 3 月 16 日至 7 月 14 日期间接受 SARS-CoV-2 检测的 9005 名 UKB 参与者 SARS-CoV-2 检测呈阳性的几率的影响。使用逻辑回归计算调整年龄、性别和祖先后的优势比和 95%置信区间。

结果

较高的 BMI、2 型糖尿病和 HbA1c 与 SARS-CoV-2 几率增加相关(p<0.05),而 HDL-C 和 ApoA-I 与几率降低相关(p<0.001)。尽管当控制 HDL-C 时,BMI、2 型糖尿病和 HbA1c 的作用被消除,但当控制 BMI 时,HDL-C 的作用仍然显著。LDL-C、ApoB 和甘油三酯水平与增加的几率没有显著相关。

结论

升高的 HDL-C 和 ApoA-I 水平与 SARS-CoV-2 检测呈阳性的几率降低相关,而较高的 BMI、2 型糖尿病和 HbA1c 与几率增加相关。在控制 HDL-C 后,BMI、2 型糖尿病和 HbA1c 水平的作用不再显著,表明这些作用可能部分通过调节 HDL-C 水平介导。总之,我们的研究表明,基线 HDL-C 水平可能有助于分层 SARS-CoV-2 感染风险,并证实了 HDL-C 可能普遍保护免受败血症,特别是 SARS-CoV-2 的新兴观点。

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