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Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach

INTRODUCTION: Worldwide, Human adenoviruses (ADV) cause a significant portion of childhood mortality. The severity of ADV Community-acquired Pneumonia (CAP) can be assessed by clinical features, but the rapid and accurate diagnostic biomarkers are still lacking. Candidate biomarkers for severe ADV C...

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Autores principales: Shi, Tingting, Bai, Jun, Yang, Diyuan, Huang, Li, Fan, Hui-Feng, Zhang, Dong-Wei, Liu, Tongzheng, Lu, Gen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547224/
https://www.ncbi.nlm.nih.gov/pubmed/36217477
http://dx.doi.org/10.1016/j.heliyon.2022.e10807
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author Shi, Tingting
Bai, Jun
Yang, Diyuan
Huang, Li
Fan, Hui-Feng
Zhang, Dong-Wei
Liu, Tongzheng
Lu, Gen
author_facet Shi, Tingting
Bai, Jun
Yang, Diyuan
Huang, Li
Fan, Hui-Feng
Zhang, Dong-Wei
Liu, Tongzheng
Lu, Gen
author_sort Shi, Tingting
collection PubMed
description INTRODUCTION: Worldwide, Human adenoviruses (ADV) cause a significant portion of childhood mortality. The severity of ADV Community-acquired Pneumonia (CAP) can be assessed by clinical features, but the rapid and accurate diagnostic biomarkers are still lacking. Candidate biomarkers for severe ADV CAP are to be screened and the different protein expression levels associated with pediatric ADV CAP may help assess the severity of ADV CAP for the pediatricians to make early intervention. METHODS: In our study, serum samples from healthy controls, patients with ADV CAP, streptococcus pneumonia (SP) and respiratory syncytial virus (RSV) infection were collected. Differently expressed proteins (DEPs) were detected by iTRAQ-based mass spectrometry. Gene Ontology and Pathway Enrichment analysis of DEPs were performed by Cytoscape. The protein interaction network for the identified proteins was constructed by String. RESULTS: The results showed that 119 DEPs in mild ADV CAP and 148 DEPs in severe ADV CAP were identified, compared with healthy children. Four proteins (Protein S100-A9 (S100A9), Protein S100-A8 (S100A8), Leucine aminopeptidase III (LAP3), and Apolipoprotein A-IV(APOA4)) were validated by Western blot, and results indicated that the expression levels of these four proteins were consistent with the proteomic analysis. LAP3 was the most significantly up-regulated protein in severe ADV CAP compared to mild group. In addition, LAP3 was the most significantly up-regulated protein in severe ADV CAP comparing with SP CAP infection and RSV CAP infection. CONCLUSION: Our findings identified LAP3 protein as a potential diagnostic biomarker which can assess the severity of ADV CAP.
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spelling pubmed-95472242022-10-09 Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach Shi, Tingting Bai, Jun Yang, Diyuan Huang, Li Fan, Hui-Feng Zhang, Dong-Wei Liu, Tongzheng Lu, Gen Heliyon Research Article INTRODUCTION: Worldwide, Human adenoviruses (ADV) cause a significant portion of childhood mortality. The severity of ADV Community-acquired Pneumonia (CAP) can be assessed by clinical features, but the rapid and accurate diagnostic biomarkers are still lacking. Candidate biomarkers for severe ADV CAP are to be screened and the different protein expression levels associated with pediatric ADV CAP may help assess the severity of ADV CAP for the pediatricians to make early intervention. METHODS: In our study, serum samples from healthy controls, patients with ADV CAP, streptococcus pneumonia (SP) and respiratory syncytial virus (RSV) infection were collected. Differently expressed proteins (DEPs) were detected by iTRAQ-based mass spectrometry. Gene Ontology and Pathway Enrichment analysis of DEPs were performed by Cytoscape. The protein interaction network for the identified proteins was constructed by String. RESULTS: The results showed that 119 DEPs in mild ADV CAP and 148 DEPs in severe ADV CAP were identified, compared with healthy children. Four proteins (Protein S100-A9 (S100A9), Protein S100-A8 (S100A8), Leucine aminopeptidase III (LAP3), and Apolipoprotein A-IV(APOA4)) were validated by Western blot, and results indicated that the expression levels of these four proteins were consistent with the proteomic analysis. LAP3 was the most significantly up-regulated protein in severe ADV CAP compared to mild group. In addition, LAP3 was the most significantly up-regulated protein in severe ADV CAP comparing with SP CAP infection and RSV CAP infection. CONCLUSION: Our findings identified LAP3 protein as a potential diagnostic biomarker which can assess the severity of ADV CAP. Elsevier 2022-09-28 /pmc/articles/PMC9547224/ /pubmed/36217477 http://dx.doi.org/10.1016/j.heliyon.2022.e10807 Text en © 2022 Published by Elsevier Ltd. 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 Research Article
Shi, Tingting
Bai, Jun
Yang, Diyuan
Huang, Li
Fan, Hui-Feng
Zhang, Dong-Wei
Liu, Tongzheng
Lu, Gen
Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title_full Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title_fullStr Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title_full_unstemmed Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title_short Identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
title_sort identification of candidate biomarkers for severe adenovirus community-acquired pneumonia by proteomic approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547224/
https://www.ncbi.nlm.nih.gov/pubmed/36217477
http://dx.doi.org/10.1016/j.heliyon.2022.e10807
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