Evidence map›Paper›PMID 36217477›Full record

ArticleHeliyon2022

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

Tingting Shi, Jun Bai, Diyuan Yang, Li Huang, Hui-Feng Fan, Dong-Wei Zhang, Tongzheng Liu, Gen Lu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Tingting ShiDepartment of Respiratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jun BaiAffiliated Foshan Maternity &Child Healthcare Hospital, Southern Medical University.
Diyuan YangDepartment of Respiratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Li HuangPaediatric Intensive Care Unit, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Hui-Feng FanDepartment of Respiratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Dong-Wei ZhangDepartment of Respiratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Tongzheng LiuCollege of Pharmacy, Jinan University, Guangzhou, Guangdong, China.
Gen LuDepartment of Respiratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNFoshan Maternity and Child Health Care Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AdenovirusesBiomarkerLAP3 proteinPneumonia

Identifiers

PMID36217477
PMCPMC9547224
OpenAlexW4297499578

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.