Multi-omics analysis reveals underlying host responses in pediatric respiratory syncytial virus pneumonia.

Huang, X; Li, F; Wang, Y; Jia, X; Jia, N; Xiao, F; Sun, C; Fu, J; Chen, M; Cui, X; Qu, D; Wai Luu, LD; Tai, J; Li, J

Multi-omics analysis reveals underlying host responses in pediatric respiratory syncytial virus pneumonia.

Huang, X Li, F Wang, Y Jia, X Jia, N Xiao, F Sun, C Fu, J Chen, M Cui, X Qu, D Wai Luu, LD Tai, J Li, J

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: iScience, 2023, 26, (4), pp. 106329
Issue Date:: 2023-04-21

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Field	Value	Language
dc.contributor.author	Huang, X
dc.contributor.author	Li, F
dc.contributor.author	Wang, Y
dc.contributor.author	Jia, X
dc.contributor.author	Jia, N
dc.contributor.author	Xiao, F
dc.contributor.author	Sun, C
dc.contributor.author	Fu, J
dc.contributor.author	Chen, M
dc.contributor.author	Cui, X
dc.contributor.author	Qu, D
dc.contributor.author	Wai Luu, LD
dc.contributor.author	Tai, J
dc.contributor.author	Li, J
dc.date.accessioned	2023-07-18T14:40:03Z
dc.date.available	2023-02-28
dc.date.available	2023-07-18T14:40:03Z
dc.date.issued	2023-04-21
dc.identifier.citation	iScience, 2023, 26, (4), pp. 106329
dc.identifier.issn	2589-0042
dc.identifier.issn	2589-0042
dc.identifier.uri	http://hdl.handle.net/10453/171564
dc.description.abstract	Respiratory syncytial virus (RSV) is an important pathogen causing pneumonia in children. Few studies have used multi-omics data to investigate the pathogenies of RSV pneumonia. Here, metabolomics was first used to identify potential biomarkers for RSV diagnosis. In the training cohort, serum from 36 healthy controls (HCs), 45 RSV pneumonia children, and 32 infectious disease controls (IDCs) were recruited. After analyses, six metabolites had potential diagnostic value. Using an independent cohort of 49 subjects, two biomarkers (neuromedin N and histidyl-proline diketopiperazine) were validated. Next, multi-omics analysis were applied to analyze the pathogenies of RSV pneumonia. Accumulation of collagen in the serum of RSVs indicated that RSV infection could lead to increased levels of soluble collage. Activation of the complement system and imbalance in lipid metabolism were also observed in RSV patients. The multi-omics analysis presented here revealed the signature protein and metabolite changes in serum caused by RSV infection.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	iScience
dc.relation.isbasedon	10.1016/j.isci.2023.106329
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Multi-omics analysis reveals underlying host responses in pediatric respiratory syncytial virus pneumonia.
dc.type	Journal Article
utslib.citation.volume	26
utslib.location.activity	United States
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2023-07-18T14:39:55Z
pubs.issue	4
pubs.publication-status	Published online
pubs.volume	26
utslib.citation.issue	4

Abstract:

Respiratory syncytial virus (RSV) is an important pathogen causing pneumonia in children. Few studies have used multi-omics data to investigate the pathogenies of RSV pneumonia. Here, metabolomics was first used to identify potential biomarkers for RSV diagnosis. In the training cohort, serum from 36 healthy controls (HCs), 45 RSV pneumonia children, and 32 infectious disease controls (IDCs) were recruited. After analyses, six metabolites had potential diagnostic value. Using an independent cohort of 49 subjects, two biomarkers (neuromedin N and histidyl-proline diketopiperazine) were validated. Next, multi-omics analysis were applied to analyze the pathogenies of RSV pneumonia. Accumulation of collagen in the serum of RSVs indicated that RSV infection could lead to increased levels of soluble collage. Activation of the complement system and imbalance in lipid metabolism were also observed in RSV patients. The multi-omics analysis presented here revealed the signature protein and metabolite changes in serum caused by RSV infection.

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http://hdl.handle.net/10453/171564