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用于鉴定生物标志物以标记新冠病毒疾病(COVID-19)患者对各种器官发病倾向的血清蛋白质组学。

Serum proteomics for the identification of biomarkers to flag predilection of COVID19 patients to various organ morbidities.

作者信息

Rajan Madhan Vishal, Sharma Vipra, Upadhyay Neelam, Murali Ananya, Bandyopadhyay Sabyasachi, Hariprasad Gururao

机构信息

Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.

Subbaiah Institute of Medical Sciences, New Delhi, Karnataka, India.

出版信息

Clin Proteomics. 2024 Nov 1;21(1):61. doi: 10.1186/s12014-024-09512-6.

Abstract

BACKGROUND

COVID19 is a pandemic that has affected millions around the world since March 2020. While many patients recovered completely with mild illness, many patients succumbed to various organ morbidities. This heterogeneity in the clinical presentation of COVID19 infection has posed a challenge to clinicians around the world. It is therefore crucial to identify specific organ-related morbidity for effective treatment and better patient outcomes. We have carried out serum-based proteomic experiments to identify protein biomarkers that can flag organ dysfunctions in COVID19 patients.

METHODS

COVID19 patients were screened and tested at various hospitals across New Delhi, India. 114 serum samples from these patients, with and without organ morbidities were collected and annotated based on clinical presentation and treatment history. Of these, 29 samples comprising of heart, lung, kidney, gastrointestinal, liver, and neurological morbidities were considered for the discovery phase of the experiment. Proteins were isolated, quantified, trypsin digested, and the peptides were subjected to liquid chromatography assisted tandem mass spectrometry analysis. Data analysis was carried out using Proteome Discoverer software. Fold change analysis was carried out on MetaboAnalyst. KEGG, Reactome, and Wiki Pathway analysis of differentially expressed proteins were carried out using the STRING database. Potential biomarker candidates for various organ morbidities were validated using ELISA.

RESULTS

254 unique proteins were identified from all the samples with a subset of 12-31 differentially expressed proteins in each of the clinical phenotypes. These proteins establish complement and coagulation cascade pathways in the pathogenesis of the organ morbidities. Validation experiments along with their diagnostic parameters confirm Secreted Protein Acidic and Rich in Cysteine, Cystatin C, and Catalase as potential biomarker candidates that can flag cardiovascular disease, renal disease, and respiratory disease, respectively.

CONCLUSIONS

Label free serum proteomics shows differential protein expression in COVID19 patients with morbidity as compared to those without morbidity. Identified biomarker candidates hold promise to flag organ morbidities in COVID19 for efficient patient care.

摘要

背景

自2020年3月以来,新型冠状病毒肺炎(COVID-19)大流行已影响全球数百万人。虽然许多患者轻症痊愈,但也有许多患者死于各种器官病变。COVID-19感染临床表现的这种异质性给世界各地的临床医生带来了挑战。因此,识别特定的器官相关病变对于有效治疗和改善患者预后至关重要。我们开展了基于血清的蛋白质组学实验,以识别可标记COVID-19患者器官功能障碍的蛋白质生物标志物。

方法

在印度新德里的多家医院对COVID-19患者进行筛查和检测。根据临床表现和治疗史,收集了这些患者的114份血清样本,包括有和没有器官病变的样本,并进行了注释。其中,29份包含心脏、肺、肾、胃肠道、肝脏和神经病变的样本被纳入实验的发现阶段。分离、定量蛋白质,用胰蛋白酶消化,然后对肽段进行液相色谱辅助串联质谱分析。使用Proteome Discoverer软件进行数据分析。在MetaboAnalyst上进行倍数变化分析。使用STRING数据库对差异表达蛋白进行KEGG、Reactome和Wiki通路分析。使用酶联免疫吸附测定(ELISA)验证各种器官病变的潜在生物标志物候选物。

结果

从所有样本中鉴定出254种独特蛋白质,每种临床表型中有12 - 31种差异表达蛋白质的子集。这些蛋白质在器官病变的发病机制中建立了补体和凝血级联途径。验证实验及其诊断参数证实,富含半胱氨酸的酸性分泌蛋白、胱抑素C和过氧化氢酶分别作为潜在的生物标志物候选物,可标记心血管疾病、肾脏疾病和呼吸系统疾病。

结论

与无病变的COVID-19患者相比,无标记血清蛋白质组学显示有病变的COVID-19患者存在差异蛋白表达。已鉴定的生物标志物候选物有望标记COVID-19中的器官病变,以实现高效的患者护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/835b/11531188/8f4ae8afa531/12014_2024_9512_Fig1_HTML.jpg

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