Xavier Farré, Natalia Blay, Susana Iraola-Guzmán, Francisco Fernández-Jiménez, Sayoa Alzate-Piñol, Laia Llucià-Carol, Ana Espinosa, Gemma Castaño-Vinyals, Carlota Dobaño, Gemma Moncunill, Marianna Karachaliou, Judith Garcia-Aymerich, Manolis Kogevinas, Carles Barceló, Israel Cadenas, Rafael de Cid
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As a major public health concern, ongoing research continues to investigate its causes, mechanisms, and long-term effects.</p><p><strong>Methods: </strong>Proteomic expression analysis of 171 individuals, in two time points, with confirmed SARS-CoV-2 infection, including 133 long COVID patients from the deeply characterized COVICAT cohort, assessed 1395 protein biomarkers using Olink® technology. Statistical analyses with linear mixed models examined protein expression changes, long COVID status, and sex-specific differences. Functional analysis included gene set enrichment analysis and protein-protein interaction networks.</p><p><strong>Results: </strong>Findings revealed VEGFA overexpression in long COVID patients (effect size 0.322, SE = 0.098, p = 0.0013), along with sex-specific expression patterns and the influence of sex-hormonal status in females, with significant overexpression of circulating VEGFA levels specifically in postmenopausal women (Mann-Whitney U test p value = 8.55 × 10<sup>-3</sup>). Network analysis identified 109 nodes and 274 edges, with VEGFA ranking highest in centrality. Dysregulated chemokine signaling, complement activation, and viral reactivation were also confirmed, consistent with prior studies.</p><p><strong>Conclusions: </strong>Using high-throughput proteomic profiling in a population-based cohort, we observed that vascular dysfunction, particularly involving VEGFA, is a key feature of long COVID, especially in milder cases, with significant overexpression of VEGFA in postmenopausal women. Sex-specific proteomic patterns suggest distinct recovery mechanisms, highlighting the need to consider sex, vascular health, and disease severity in the pathogenesis and management of long COVID.</p>","PeriodicalId":9188,"journal":{"name":"BMC Medicine","volume":"23 1","pages":"552"},"PeriodicalIF":8.3000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12512802/pdf/","citationCount":"0","resultStr":"{\"title\":\"VEGFA sex-specific signature is associated to long COVID symptom persistence.\",\"authors\":\"Xavier Farré, Natalia Blay, Susana Iraola-Guzmán, Francisco Fernández-Jiménez, Sayoa Alzate-Piñol, Laia Llucià-Carol, Ana Espinosa, Gemma Castaño-Vinyals, Carlota Dobaño, Gemma Moncunill, Marianna Karachaliou, Judith Garcia-Aymerich, Manolis Kogevinas, Carles Barceló, Israel Cadenas, Rafael de Cid\",\"doi\":\"10.1186/s12916-025-04402-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Long COVID involves persistent symptoms after COVID-19 recovery, affecting multiple organ systems for months or years. 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引用次数: 0
摘要
背景:长期COVID涉及COVID-19恢复后的持续症状,影响多个器官系统数月或数年。危险因素包括女性、既往慢性病、严重的SARS-CoV-2感染、再感染和缺乏疫苗接种。作为一个主要的公共卫生问题,正在进行的研究继续调查其原因、机制和长期影响。方法:采用Olink®技术对两个时间点的171例确诊的SARS-CoV-2感染患者进行蛋白质组学表达分析,其中133例来自深度表征的COVICAT队列的长冠状病毒患者,评估了1395种蛋白质生物标志物。使用线性混合模型进行统计分析,检查了蛋白质表达变化、长COVID状态和性别特异性差异。功能分析包括基因集富集分析和蛋白相互作用网络分析。结果:研究结果显示,长冠患者中VEGFA过表达(效应值0.322,SE = 0.098, p = 0.0013),女性中存在性别特异性表达模式和性激素状态的影响,绝经后女性中循环VEGFA水平显著过表达(Mann-Whitney U检验p值= 8.55 × 10-3)。网络分析确定了109个节点和274条边,其中VEGFA的中心性最高。趋化因子信号、补体激活和病毒再激活的失调也被证实,与先前的研究一致。结论:在基于人群的队列中使用高通量蛋白质组学分析,我们观察到血管功能障碍,特别是涉及VEGFA,是长COVID的关键特征,特别是在较轻的病例中,绝经后妇女中VEGFA显着过表达。性别特异性蛋白质组学模式提示不同的恢复机制,强调在长冠状病毒的发病和管理中需要考虑性别、血管健康和疾病严重程度。
VEGFA sex-specific signature is associated to long COVID symptom persistence.
Background: Long COVID involves persistent symptoms after COVID-19 recovery, affecting multiple organ systems for months or years. Risk factors include female sex, prior chronic conditions, severe SARS-CoV-2 infection, reinfections, and lack of vaccination. As a major public health concern, ongoing research continues to investigate its causes, mechanisms, and long-term effects.
Methods: Proteomic expression analysis of 171 individuals, in two time points, with confirmed SARS-CoV-2 infection, including 133 long COVID patients from the deeply characterized COVICAT cohort, assessed 1395 protein biomarkers using Olink® technology. Statistical analyses with linear mixed models examined protein expression changes, long COVID status, and sex-specific differences. Functional analysis included gene set enrichment analysis and protein-protein interaction networks.
Results: Findings revealed VEGFA overexpression in long COVID patients (effect size 0.322, SE = 0.098, p = 0.0013), along with sex-specific expression patterns and the influence of sex-hormonal status in females, with significant overexpression of circulating VEGFA levels specifically in postmenopausal women (Mann-Whitney U test p value = 8.55 × 10-3). Network analysis identified 109 nodes and 274 edges, with VEGFA ranking highest in centrality. Dysregulated chemokine signaling, complement activation, and viral reactivation were also confirmed, consistent with prior studies.
Conclusions: Using high-throughput proteomic profiling in a population-based cohort, we observed that vascular dysfunction, particularly involving VEGFA, is a key feature of long COVID, especially in milder cases, with significant overexpression of VEGFA in postmenopausal women. Sex-specific proteomic patterns suggest distinct recovery mechanisms, highlighting the need to consider sex, vascular health, and disease severity in the pathogenesis and management of long COVID.
期刊介绍:
BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.