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呼吸道感染的分子图谱:一个大规模、多中心的血液转录组数据集。

Molecular landscape of respiratory infection: A large-scale, multi-centre blood transcriptome dataset.

作者信息

Chew Tracy, Pelaia Tiana M, Phu Amy L, Teoh Sally, Wang Ya, Deshpande Nandan, Kim Karan, Herwanto Velma, Karvunidis Thomas, Zerbib Yoann, Short Kirsty R, Macdonald Stephen, Thevarajan Irani, Rinchai Darawan, Kuan Win Sen, Knippenberg Ben, Iredell Jonathan, Britton Philip N, Hutchings Owen, Britton Warwick J, Eden John-Sebastian, Orde Sam, Tang Benjamin, McLean Anthony, Chaussabel Damien, Schughart Klaus, Shojaei Maryam

机构信息

Sydney Informatics Hub, Core Research Facilities, University of Sydney, Sydney, NSW, Australia.

Department of Intensive Care Medicine, Nepean Hospital, Penrith, NSW, Australia.

出版信息

Sci Data. 2025 Jul 10;12(1):1175. doi: 10.1038/s41597-025-05488-6.

Abstract

Respiratory infections pose significant challenges to global health, impacting millions of individuals annually. Understanding the molecular mechanisms underlying the pathogenicity of these infections is crucial for developing effective interventions. RNA sequencing provides insights into a patient's global transcriptome changes, facilitating the identification of host gene signatures in response to infection and potential therapeutic targets. Here we present an extensive whole blood transcriptome dataset from a demographically diverse cohort of 502 patients with infections including COVID-19, seasonal coronavirus, influenza A or influenza B, sepsis, septic shock, and co-infections (Viral/Viral, Bacterial/Viral, Bacterial/Viral/Fungal, Viral/Fungal, Viral/ Viral/Fungal). The cohort size and depth of data showcase its potential to unravel respiratory infection pathogenesis for the development of better diagnostics, treatments, and preventive strategies for respiratory infections and future global health crises.

摘要

呼吸道感染对全球健康构成重大挑战,每年影响数百万人。了解这些感染致病性的分子机制对于开发有效的干预措施至关重要。RNA测序可深入了解患者的整体转录组变化,有助于识别宿主对感染的基因特征以及潜在的治疗靶点。在此,我们展示了一个来自502名感染患者的广泛全血转录组数据集,这些患者的人口统计学特征多样,包括感染新冠病毒、季节性冠状病毒、甲型流感或乙型流感、败血症、感染性休克以及合并感染(病毒/病毒、细菌/病毒、细菌/病毒/真菌、病毒/真菌、病毒/病毒/真菌)。该队列规模和数据深度展示了其在揭示呼吸道感染发病机制方面的潜力,有助于为呼吸道感染以及未来全球健康危机开发更好的诊断方法、治疗手段和预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db9/12246199/26105fa4d443/41597_2025_5488_Fig1_HTML.jpg

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