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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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).
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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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