{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang YF"],"funding":["National Science and Technology Council"],"pagination":["1215"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12474022"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(9)"],"pubmed_abstract":["Long COVID, characterized by persistent symptoms following acute SARS-CoV-2 infection, has emerged as a significant public health challenge with wide-ranging clinical and socioeconomic implications. Developing an effective risk assessment strategy is essential for the early identification and management of individuals susceptible to prolonged symptoms. This study uses a quantitative approach to characterize the dose-response relationships between spike protein concentrations and effects, including Long COVID symptom numbers and the release of proinflammatory mediators. A mathematical model is also developed to describe the time-dependent change in spike protein concentrations post diagnosis in twelve Long COVID patients with a cluster analysis. Based on the spike protein concentration-Long"],"journal":["Viruses"],"pubmed_title":["Biomarker-Based Risk Assessment Strategy for Long COVID: Leveraging Spike Protein and Proinflammatory Mediators to Inform Broader Postinfection Sequelae."],"pmcid":["PMC12474022"],"funding_grant_id":["NSTC 113-2313-B-002-032"],"pubmed_authors":["Yang YF","Wang WM","Chen CY","Chen SY","You SH","Chen SC","Lin YJ","Hsiao HA","Lai IH","Ling MP","Lu TH","Liao CM"],"additional_accession":[]},"is_claimable":false,"name":"Biomarker-Based Risk Assessment Strategy for Long COVID: Leveraging Spike Protein and Proinflammatory Mediators to Inform Broader Postinfection Sequelae.","description":"Long COVID, characterized by persistent symptoms following acute SARS-CoV-2 infection, has emerged as a significant public health challenge with wide-ranging clinical and socioeconomic implications. Developing an effective risk assessment strategy is essential for the early identification and management of individuals susceptible to prolonged symptoms. This study uses a quantitative approach to characterize the dose-response relationships between spike protein concentrations and effects, including Long COVID symptom numbers and the release of proinflammatory mediators. A mathematical model is also developed to describe the time-dependent change in spike protein concentrations post diagnosis in twelve Long COVID patients with a cluster analysis. Based on the spike protein concentration-Long","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-05-02T03:19:22.434Z","creation":"2026-05-02T03:11:37.868Z"},"accession":"S-EPMC12474022","cross_references":{"pubmed":["41012643"],"doi":["10.3390/v17091215"]}}