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Gene signature of children with severe respiratory syncytial virus infection.儿童严重呼吸道合胞病毒感染的基因特征。
Pediatr Res. 2021 May;89(7):1664-1672. doi: 10.1038/s41390-020-01347-9. Epub 2021 Jan 28.
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Autoantibodies against type I IFNs in patients with life-threatening COVID-19.COVID-19 危重症患者体内针对 I 型干扰素的自身抗体。
Science. 2020 Oct 23;370(6515). doi: 10.1126/science.abd4585. Epub 2020 Sep 24.
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Virus-induced genetics revealed by multidimensional precision medicine transcriptional workflow applicable to COVID-19.多维精准医学转录组学工作流程揭示的病毒诱导遗传学,适用于 COVID-19。
Physiol Genomics. 2020 Jun 1;52(6):255-268. doi: 10.1152/physiolgenomics.00045.2020. Epub 2020 May 21.
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Immune profiles provide insights into respiratory syncytial virus disease severity in young children.免疫特征可深入了解婴幼儿呼吸道合胞病毒疾病的严重程度。
Sci Transl Med. 2020 Apr 22;12(540). doi: 10.1126/scitranslmed.aaw0268.
5
A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus.一项多重全血基因表达数据分析揭示了呼吸道合胞病毒的诊断宿主反应转录特征。
Int J Mol Sci. 2020 Mar 6;21(5):1831. doi: 10.3390/ijms21051831.
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The upper-airway microbiota and loss of asthma control among asthmatic children.哮喘儿童上呼吸道微生物群与哮喘控制丢失的关系。
Nat Commun. 2019 Dec 16;10(1):5714. doi: 10.1038/s41467-019-13698-x.
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Determining cell type abundance and expression from bulk tissues with digital cytometry.利用数字细胞术从组织样本中测定细胞类型丰度和表达。
Nat Biotechnol. 2019 Jul;37(7):773-782. doi: 10.1038/s41587-019-0114-2. Epub 2019 May 6.
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NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.NetworkAnalyst 3.0:一个用于全面基因表达谱分析和荟萃分析的可视化分析平台。
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Acta Virol. 2018;62(3):310-325. doi: 10.4149/av_2018_225.
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Serum soluble receptor for advanced glycation end-products during acute bronchiolitis in infant: Prospective study in 93 cases.血清晚期糖基化终产物可溶性受体在婴儿细支气管炎急性期的变化:93 例前瞻性研究。
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平衡精准性与病毒性细支气管炎急性期和恢复期队列转录组分析。

Balancing precision versus cohort transcriptomic analysis of acute and recovery phase of viral bronchiolitis.

机构信息

Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, Michigan.

Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan.

出版信息

Am J Physiol Lung Cell Mol Physiol. 2021 Jun 1;320(6):L1147-L1157. doi: 10.1152/ajplung.00440.2020. Epub 2021 Apr 14.

DOI:10.1152/ajplung.00440.2020
PMID:33851876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8285625/
Abstract

Viral infections affecting the lower respiratory tract place enormous burdens on hospitals. As neither vaccines nor antiviral agents exist for many viruses, understanding risk factors and outcomes in each patient using minimally invasive analysis, such as blood, can lead to improved health care delivery. A cohort of PAXgene RNA sequencing of infants admitted with moderate or severe acute bronchiolitis and respiratory syncytial virus were compared with case-control statistical analysis and cohort-based outlier mapping for precision transcriptomics. Patients with severe bronchiolitis had signatures connected to the immune system, interferon signaling, and cytokine signaling, with marked sex differences in , , , and for severity. Several patients had unique secondary infections, cytokine activation, immune responses, biological pathways, and immune cell activation, highlighting the need for defining patient-level transcriptomic signatures. Balancing relative contributions of cohort-based biomarker discoveries with patient's biological responses is needed to understand the totality of mechanisms of adverse outcomes in viral bronchiolitis.

摘要

病毒感染影响下呼吸道,给医院带来巨大负担。由于许多病毒既没有疫苗也没有抗病毒药物,因此通过微创分析(如血液)了解每位患者的风险因素和结果,可以改善医疗服务的提供。对因中度或重度急性细支气管炎和呼吸道合胞病毒住院的婴儿进行 PAXgene RNA 测序的队列与病例对照统计分析和基于队列的离群值映射进行了比较,以进行精确转录组学分析。严重细支气管炎患者的特征与免疫系统、干扰素信号和细胞因子信号有关,严重程度在 、 、 和 方面存在明显的性别差异。一些患者有独特的继发感染、细胞因子激活、免疫反应、生物途径和免疫细胞激活,这突出表明需要确定患者水平的转录组特征。需要平衡基于队列的生物标志物发现与患者生物学反应的相对贡献,以了解病毒性细支气管炎不良结局的全部机制。