血浆蛋白质组全孟德尔随机分析揭示了 COVID-19 不同阶段的生物标记物和治疗靶点

Suhas Krishnamoorthy, Ruby Lai-Chong Hoo, Ching-Lung Cheung
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摘要

背景。由 SARS-CoV-2 病毒引起的 COVID-19 大流行导致了全球健康危机,造成了严重的发病率和死亡率。虽然已经开发出了有效的疫苗,但仍需要对该疾病进行药物治疗,特别是针对该疾病的不同阶段和对抗不断演变的变种。针对 COVID-19 的不同阶段确定可靠的生物标志物和潜在的治疗目标至关重要。研究方法利用最大的公开数据集进行孟德尔随机分析,以确定严重 COVID-19、住院 COVID-19 和 SARS-CoV-2 感染的潜在致病血浆蛋白。独立且强相关的顺式或泛 PQTL 被用作每种蛋白质的工具变量。使用 FDR q 值校正多重检验,然后进行敏感性分析、反向 MR 和基因共定位,以确保结果的稳健性。结果我们发现了与 COVID-19 不同阶段存在因果关系的蛋白质。其中一些蛋白质是以前发现的,如 BGAT 和 BCAT2,但我们也发现了一些新的蛋白质,如 KLC1、MRVI1、CACO2 和 PCNP。结论这些蛋白质为了解 COVID-19 的潜在机制提供了宝贵的信息。这些蛋白质的鉴定为开发治疗和预防 COVID-19 的潜在治疗靶点或生物标记物提供了新的机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasma Proteome-Wide Mendelian Randomization Analysis Reveals Biomarkers and Therapeutic Targets for Different Stages of COVID-19
Background. The COVID-19 pandemic caused by the SARS-CoV-2 virus has resulted in a global health crisis with significant morbidity and mortality. While effective vaccinations have been developed, drug treatments for the disease are still required, particularly for different stages of the disease and to combat evolving variants. Identifying reliable biomarkers and potential therapeutic targets for the different stages of COVID-19 is crucial. Methods. Mendelian randomization using the largest publicly available datasets was conducted to identify potential causal plasma proteins for severe COVID-19, hospitalized COVID-19, and SARS-CoV-2 infection. Independent, and strongly associated cis- or pan-pQTLs were used as instrumental variables for each protein. The FDR q-value was used to correct for multiple testing followed by sensitivity analyses, reverse MR and genetic colocalization to ensure the robustness of the results. Results. We identified proteins with strong evidence of causal association with different stages of COVID-19. Some of these proteins were identified previously, such as BGAT and BCAT2, but we also identified the novel proteins, such as KLC1, MRVI1, CACO2, and PCNP. Conclusion. These proteins provide valuable insights into the underlying mechanisms of COVID-19. The identification of these proteins offers new opportunities for developing potential therapeutic targets or biomarkers for the treatment and prevention of COVID-19.
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