{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T10:06:52Z","timestamp":1753870012515,"version":"3.41.2"},"reference-count":41,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics Clinical Apps"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>This study aimed to investigate the diagnostic potential of plasma biomarkers of community\u2010acquired pneumonia (CAP) and their severity grading.<\/jats:p><\/jats:sec><jats:sec><jats:title>Experimental design<\/jats:title><jats:p>Plasma proteomes from cohort I (<jats:italic>n<\/jats:italic>\u00a0=\u00a032) with CAP were analyzed by data\u2010independent acquisition mass spectrometry (MS). MetaboAnalyst 5.0 was used to statistically evaluate significant differences in proteins from different samples, and demographic and clinical data were recorded for all enrolled patients. Cohort II (<jats:italic>n<\/jats:italic>\u00a0=\u00a080) was used to validate candidate biomarkers. Plasma protein levels were determined using quantitative enzyme\u2010linked immunosorbent assay (ELISA). Correlations were assessed using Pearson's correlation coefficient. A receiver operating characteristic curve was used to verify the association between the variables, CAP diagnosis, and prognosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>121 differentially expressed proteins (DEPs) were obtained between CAP and controls. These DEPs were mainly aggregated in pathways of phagosome(hsa04145) and complement and coagulation cascades (hsa04610). No significant differential proteins were detected in bacterial, viral, and mixed infection groups. The plasma levels of fetuin\u2010A, alpha\u20101\u2010antichymotrypsin (AACT), \u03b11\u2010acid glycoprotein (A1AG), and S100A8\/S100A9 heterodimers detected by ELISA were consistent with those of MS. AACT, A1AG, S100A8\/S100A9 heterodimer, and fetuin\u2010A can potentially be used as diagnostic predictors, and fetuin\u2010A and AACT are potential predictors of SCAP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions and clinical relevance<\/jats:title><jats:p>Plasma protein profiling can successfully identify potential biomarkers for CAP diagnosis and disease severity assessment. These biomarkers should be further studied for their clinical application.<\/jats:p><\/jats:sec>","DOI":"10.1002\/prca.202300069","type":"journal-article","created":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T03:49:48Z","timestamp":1707450588000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Plasma proteome analysis and validation of patients with community\u2010acquired pneumonia: A cohort study"],"prefix":"10.1002","volume":"18","author":[{"given":"Lili","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine Peking University People's Hospital  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjie","family":"Bian","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine Peking University People's Hospital  Beijing 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