Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
UK National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley Hospital, London, United Kingdom.
PLoS Genet. 2022 Mar 3;18(3):e1010042. doi: 10.1371/journal.pgen.1010042. eCollection 2022 Mar.
In November 2021, the COVID-19 pandemic death toll surpassed five million individuals. We applied Mendelian randomization including >3,000 blood proteins as exposures to identify potential biomarkers that may indicate risk for hospitalization or need for respiratory support or death due to COVID-19, respectively. After multiple testing correction, using genetic instruments and under the assumptions of Mendelian Randomization, our results were consistent with higher blood levels of five proteins GCNT4, CD207, RAB14, C1GALT1C1, and ABO being causally associated with an increased risk of hospitalization or respiratory support/death due to COVID-19 (ORs = 1.12-1.35). Higher levels of FAAH2 were solely associated with an increased risk of hospitalization (OR = 1.19). On the contrary, higher levels of SELL, SELE, and PECAM-1 decrease risk of hospitalization or need for respiratory support/death (ORs = 0.80-0.91). Higher levels of LCTL, SFTPD, KEL, and ATP2A3 were solely associated with a decreased risk of hospitalization (ORs = 0.86-0.93), whilst higher levels of ICAM-1 were solely associated with a decreased risk of respiratory support/death of COVID-19 (OR = 0.84). Our findings implicate blood group markers and binding proteins in both hospitalization and need for respiratory support/death. They, additionally, suggest that higher levels of endocannabinoid enzymes may increase the risk of hospitalization. Our research replicates findings of blood markers previously associated with COVID-19 and prioritises additional blood markers for risk prediction of severe forms of COVID-19. Furthermore, we pinpoint druggable targets potentially implicated in disease pathology.
2021 年 11 月,COVID-19 大流行导致的死亡人数超过 500 万。我们应用孟德尔随机化方法,将 3000 多种血液蛋白作为暴露因素,以确定可能预示 COVID-19 住院或需要呼吸支持或死亡风险的潜在生物标志物。经过多次测试校正,使用遗传工具并基于孟德尔随机化的假设,我们的结果与以下结果一致:血液中五种蛋白质(GCNT4、CD207、RAB14、C1GALT1C1 和 ABO)水平升高与 COVID-19 住院或呼吸支持/死亡风险增加相关(OR=1.12-1.35)。更高的 FAAH2 水平仅与住院风险增加相关(OR=1.19)。相反,SELL、SELE 和 PECAM-1 的水平升高可降低住院或需要呼吸支持/死亡的风险(OR=0.80-0.91)。更高的 LCTL、SFTPD、KEL 和 ATP2A3 水平仅与住院风险降低相关(OR=0.86-0.93),而更高的 ICAM-1 水平仅与 COVID-19 呼吸支持/死亡风险降低相关(OR=0.84)。我们的研究结果表明,血型标志物和结合蛋白与住院和需要呼吸支持/死亡都有关。此外,我们还发现,内源性大麻素酶的水平升高可能会增加住院风险。我们的研究复制了先前与 COVID-19 相关的血液标志物的发现,并为 COVID-19 严重形式的风险预测确定了其他潜在的血液标志物。此外,我们还确定了可能与疾病病理有关的可药物靶点。