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代谢组学可作为全面评估紧急批准疫苗的有力工具:科兴疫苗回顾性研究。

Metabolomics acts as a powerful tool for comprehensively evaluating vaccines approved under emergency: a CoronaVac retrospective study.

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.

Liaoning Province Key Laboratory of Metabolomics, Dalian, China.

出版信息

Front Immunol. 2023 Jul 14;14:1168308. doi: 10.3389/fimmu.2023.1168308. eCollection 2023.

Abstract

INTRODUCTION

To control the COVID-19 pandemic, great efforts have been made to realize herd immunity by vaccination since 2020. Unfortunately, most of the vaccines against COVID-19 were approved in emergency without a full-cycle and comprehensive evaluation process as recommended to the previous vaccines. Metabolome has a close tie with the phenotype and can sensitively reflect the responses to stimuli, rendering metabolomic analysis have the potential to appraise and monitor vaccine effects authentically.

METHODS

In this study, a retrospective study was carried out for 330 Chinese volunteers receiving recommended two-dose CoronaVac, a vaccine approved in emergency in 2020. Venous blood was sampled before and after vaccination at 5 separate time points for all the recipients. Routine clinical laboratory analysis, metabolomic and lipidomic analysis data were collected.

RESULTS AND DISCUSSION

It was found that the serum antibody-positive rate of this population was around 81.82%. Most of the laboratory parameters were slightly perturbated within the relevant reference intervals after vaccination. The metabolomic and lipidomic analyses showed that the metabolic shift after inoculation was mainly in the glycolysis, tricarboxylic acid cycle, amino acid metabolism, urea cycle, as well as microbe-related metabolism (bile acid metabolism, tryptophan metabolism and phenylalanine metabolism). Time-course metabolome changes were found in parallel with the progress of immunity establishment and peripheral immune cell counting fluctuation, proving metabolomics analysis was an applicable solution to evaluate immune effects complementary to traditional antibody detection. Taurocholic acid, lysophosphatidylcholine 16:0 sn-1, glutamic acid, and phenylalanine were defined as valuable metabolite markers to indicate the establishment of immunity after vaccination. Integrated with the traditional laboratory analysis, this study provided a feasible metabolomics-based solution to relatively comprehensively evaluate vaccines approved under emergency.

摘要

简介

为了控制 COVID-19 大流行,自 2020 年以来,人们通过接种疫苗做出了巨大努力以实现群体免疫。不幸的是,大多数针对 COVID-19 的疫苗都是在没有经过全面评估的紧急情况下获得批准的,而不是像之前的疫苗那样经过完整周期和全面评估过程。代谢组学与表型密切相关,能够敏感地反映对刺激的反应,这使得代谢组学分析有可能真实地评估和监测疫苗的效果。

方法

本研究对 330 名接受推荐剂量两剂科兴疫苗(2020 年紧急批准的疫苗)的中国志愿者进行了回顾性研究。所有接种者在接种前和接种后 5 个不同时间点采集静脉血。收集了常规临床实验室分析、代谢组学和脂质组学分析数据。

结果和讨论

发现该人群的血清抗体阳性率约为 81.82%。接种后,大多数实验室参数在相关参考范围内略有波动。代谢组学和脂质组学分析表明,接种后的代谢变化主要发生在糖酵解、三羧酸循环、氨基酸代谢、尿素循环以及与微生物相关的代谢(胆汁酸代谢、色氨酸代谢和苯丙氨酸代谢)中。随着免疫建立和外周免疫细胞计数波动的进展,发现时间进程代谢组变化平行,证明代谢组学分析是一种评估免疫效果的可行方法,可作为传统抗体检测的补充。牛磺胆酸、溶血磷脂酰胆碱 16:0 sn-1、谷氨酸和苯丙氨酸被定义为有价值的代谢标志物,可指示接种后免疫的建立。结合传统的实验室分析,本研究提供了一种可行的基于代谢组学的解决方案,可相对全面地评估紧急批准的疫苗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90b/10375237/46abe7e79a75/fimmu-14-1168308-g001.jpg

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