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A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia
BACKGROUND: Severe community-acquired pneumonia (SCAP) results in high mortality as well as massive economic burden worldwide, yet limited knowledge of the bio-signatures related to prognosis has hindered the improvement of clinical outcomes. Pathogen, microbes and host are three vital elements in i...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507133/ https://www.ncbi.nlm.nih.gov/pubmed/37708700 http://dx.doi.org/10.1016/j.ebiom.2023.104790 |
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author | Zhao, Jingya He, Xiangyan Min, Jiumeng Yao, Rosary Sin Yu Chen, Yu Chen, Zhonglin Huang, Yi Zhu, Zhongyi Gong, Yanping Xie, Yusang Li, Yuping Luo, Weiwei Shi, Dongwei Xu, Jinfu Shen, Ao Wang, Qiuyue Sun, Ruixue He, Bei Lin, Yang Shen, Ning Cao, Bin Yang, Lingling She, Danyang Shi, Yi Zhou, Jiali Su, Xin Zhou, Hua Ma, Zhenzi Fan, Hong Lin, Yongquan Ye, Feng Nie, Xifang Zhang, Qiao Tian, Xinlun Lai, Guoxiang Zhou, Min Ma, Jinmin Zhang, Jing Qu, Jieming |
author_facet | Zhao, Jingya He, Xiangyan Min, Jiumeng Yao, Rosary Sin Yu Chen, Yu Chen, Zhonglin Huang, Yi Zhu, Zhongyi Gong, Yanping Xie, Yusang Li, Yuping Luo, Weiwei Shi, Dongwei Xu, Jinfu Shen, Ao Wang, Qiuyue Sun, Ruixue He, Bei Lin, Yang Shen, Ning Cao, Bin Yang, Lingling She, Danyang Shi, Yi Zhou, Jiali Su, Xin Zhou, Hua Ma, Zhenzi Fan, Hong Lin, Yongquan Ye, Feng Nie, Xifang Zhang, Qiao Tian, Xinlun Lai, Guoxiang Zhou, Min Ma, Jinmin Zhang, Jing Qu, Jieming |
author_sort | Zhao, Jingya |
collection | PubMed |
description | BACKGROUND: Severe community-acquired pneumonia (SCAP) results in high mortality as well as massive economic burden worldwide, yet limited knowledge of the bio-signatures related to prognosis has hindered the improvement of clinical outcomes. Pathogen, microbes and host are three vital elements in inflammations and infections. This study aims to discover the specific and sensitive biomarkers to predict outcomes of SCAP patients. METHODS: In this study, we applied a combined metagenomic and transcriptomic screening approach to clinical specimens gathered from 275 SCAP patients of a multicentre, prospective study. FINDINGS: We found that 30-day mortality might be independent of pathogen category or microbial diversity, while significant difference in host gene expression pattern presented between 30-day mortality group and the survival group. Twelve outcome–related clinical characteristics were identified in our study. The underlying host response was evaluated and enrichment of genes related to cell activation, immune modulation, inflammatory and metabolism were identified. Notably, omics data, clinical features and parameters were integrated to develop a model with six signatures for predicting 30-day mortality, showing an AUC of 0.953 (95% CI: 0.92–0.98). INTERPRETATION: In summary, our study linked clinical characteristics and underlying multi-omics bio-signatures to the differential outcomes of patients with SCAP. The establishment of a comprehensive predictive model will be helpful for future improvement of treatment strategies and prognosis with SCAP. FUNDING: 10.13039/501100001809National Natural Science Foundation of China (No. 82161138018), Shanghai Municipal Key Clinical Specialty (shslczdzk02202), Shanghai Top-Priority Clinical Key Disciplines Construction Project (2017ZZ02014), Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases (20dz2261100). |
format | Online Article Text |
id | pubmed-10507133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105071332023-09-20 A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia Zhao, Jingya He, Xiangyan Min, Jiumeng Yao, Rosary Sin Yu Chen, Yu Chen, Zhonglin Huang, Yi Zhu, Zhongyi Gong, Yanping Xie, Yusang Li, Yuping Luo, Weiwei Shi, Dongwei Xu, Jinfu Shen, Ao Wang, Qiuyue Sun, Ruixue He, Bei Lin, Yang Shen, Ning Cao, Bin Yang, Lingling She, Danyang Shi, Yi Zhou, Jiali Su, Xin Zhou, Hua Ma, Zhenzi Fan, Hong Lin, Yongquan Ye, Feng Nie, Xifang Zhang, Qiao Tian, Xinlun Lai, Guoxiang Zhou, Min Ma, Jinmin Zhang, Jing Qu, Jieming eBioMedicine Articles BACKGROUND: Severe community-acquired pneumonia (SCAP) results in high mortality as well as massive economic burden worldwide, yet limited knowledge of the bio-signatures related to prognosis has hindered the improvement of clinical outcomes. Pathogen, microbes and host are three vital elements in inflammations and infections. This study aims to discover the specific and sensitive biomarkers to predict outcomes of SCAP patients. METHODS: In this study, we applied a combined metagenomic and transcriptomic screening approach to clinical specimens gathered from 275 SCAP patients of a multicentre, prospective study. FINDINGS: We found that 30-day mortality might be independent of pathogen category or microbial diversity, while significant difference in host gene expression pattern presented between 30-day mortality group and the survival group. Twelve outcome–related clinical characteristics were identified in our study. The underlying host response was evaluated and enrichment of genes related to cell activation, immune modulation, inflammatory and metabolism were identified. Notably, omics data, clinical features and parameters were integrated to develop a model with six signatures for predicting 30-day mortality, showing an AUC of 0.953 (95% CI: 0.92–0.98). INTERPRETATION: In summary, our study linked clinical characteristics and underlying multi-omics bio-signatures to the differential outcomes of patients with SCAP. The establishment of a comprehensive predictive model will be helpful for future improvement of treatment strategies and prognosis with SCAP. FUNDING: 10.13039/501100001809National Natural Science Foundation of China (No. 82161138018), Shanghai Municipal Key Clinical Specialty (shslczdzk02202), Shanghai Top-Priority Clinical Key Disciplines Construction Project (2017ZZ02014), Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases (20dz2261100). Elsevier 2023-09-13 /pmc/articles/PMC10507133/ /pubmed/37708700 http://dx.doi.org/10.1016/j.ebiom.2023.104790 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Zhao, Jingya He, Xiangyan Min, Jiumeng Yao, Rosary Sin Yu Chen, Yu Chen, Zhonglin Huang, Yi Zhu, Zhongyi Gong, Yanping Xie, Yusang Li, Yuping Luo, Weiwei Shi, Dongwei Xu, Jinfu Shen, Ao Wang, Qiuyue Sun, Ruixue He, Bei Lin, Yang Shen, Ning Cao, Bin Yang, Lingling She, Danyang Shi, Yi Zhou, Jiali Su, Xin Zhou, Hua Ma, Zhenzi Fan, Hong Lin, Yongquan Ye, Feng Nie, Xifang Zhang, Qiao Tian, Xinlun Lai, Guoxiang Zhou, Min Ma, Jinmin Zhang, Jing Qu, Jieming A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title | A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title_full | A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title_fullStr | A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title_full_unstemmed | A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title_short | A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
title_sort | multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507133/ https://www.ncbi.nlm.nih.gov/pubmed/37708700 http://dx.doi.org/10.1016/j.ebiom.2023.104790 |
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