{"title":"血清 miR-4793-3p 和 miR-1180-3p 表达对社区获得性肺炎的诊断预测能力。","authors":"Rong Chai, Cihang Zhou, Zhenli Hu, Jingjing Hu","doi":"10.2217/bmm-2023-0463","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Early identification of community-acquired pneumonia (CAP) is crucial to prevent severe progression. <b>Methods:</b> The authors enrolled 150 hospitalized CAP patients and collected clinicopathologic features and blood indicators. Plasma miRNA profiling was conducted using microarray detection, and selected miRNAs were tested with reverse transcription quantitative PCR. Predictive models were built using least shrinkage and selection operator regression. <b>Results:</b> Least shrinkage and selection operator regression identified two miRNAs (miR-4793-3p and miR-1180-3p) that distinguished mild from severe CAP patients (area under the curve = 0.948). The miRNA model outperformed D-dimer, platelet and procalcitonin (max area under the curve = 0.729). <b>Conclusion:</b> Increased levels of miR-4793-3p and miR-1180-3p may indicate severe pneumonia development. Plasma miRNA profiling enables early prediction of severe CAP, aiding therapeutic decisions.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"231-241"},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216277/pdf/","citationCount":"0","resultStr":"{\"title\":\"Diagnostic predictability of serum miR-4793-3p and miR-1180-3p expression in community-acquired pneumonia.\",\"authors\":\"Rong Chai, Cihang Zhou, Zhenli Hu, Jingjing Hu\",\"doi\":\"10.2217/bmm-2023-0463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> Early identification of community-acquired pneumonia (CAP) is crucial to prevent severe progression. <b>Methods:</b> The authors enrolled 150 hospitalized CAP patients and collected clinicopathologic features and blood indicators. Plasma miRNA profiling was conducted using microarray detection, and selected miRNAs were tested with reverse transcription quantitative PCR. Predictive models were built using least shrinkage and selection operator regression. <b>Results:</b> Least shrinkage and selection operator regression identified two miRNAs (miR-4793-3p and miR-1180-3p) that distinguished mild from severe CAP patients (area under the curve = 0.948). The miRNA model outperformed D-dimer, platelet and procalcitonin (max area under the curve = 0.729). <b>Conclusion:</b> Increased levels of miR-4793-3p and miR-1180-3p may indicate severe pneumonia development. Plasma miRNA profiling enables early prediction of severe CAP, aiding therapeutic decisions.</p>\",\"PeriodicalId\":9182,\"journal\":{\"name\":\"Biomarkers in medicine\",\"volume\":\" \",\"pages\":\"231-241\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216277/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarkers in medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2217/bmm-2023-0463\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/bmm-2023-0463","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/8 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Diagnostic predictability of serum miR-4793-3p and miR-1180-3p expression in community-acquired pneumonia.
Background: Early identification of community-acquired pneumonia (CAP) is crucial to prevent severe progression. Methods: The authors enrolled 150 hospitalized CAP patients and collected clinicopathologic features and blood indicators. Plasma miRNA profiling was conducted using microarray detection, and selected miRNAs were tested with reverse transcription quantitative PCR. Predictive models were built using least shrinkage and selection operator regression. Results: Least shrinkage and selection operator regression identified two miRNAs (miR-4793-3p and miR-1180-3p) that distinguished mild from severe CAP patients (area under the curve = 0.948). The miRNA model outperformed D-dimer, platelet and procalcitonin (max area under the curve = 0.729). Conclusion: Increased levels of miR-4793-3p and miR-1180-3p may indicate severe pneumonia development. Plasma miRNA profiling enables early prediction of severe CAP, aiding therapeutic decisions.
期刊介绍：
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.
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