Evidence map›Paper›PMID 30761252›Full record

ArticleFEBS open bio2019

New biomarkers of Kawasaki disease identified by urine proteomic analysis.

Hui-Min Hu, Hong-Wu Du, Jia-Wen Cui, De-Qin Feng, Zhong-Dong Du

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Hui-Min HuDepartment of Cardiology Beijing Children's Hospital Capital Medical University Beijing China.
Hong-Wu DuSchool of Chemistry and Biological Engineering University of Science & Technology Beijing China.
Jia-Wen CuiSchool of Chemistry and Biological Engineering University of Science & Technology Beijing China.
De-Qin FengInstitute of Microbiology Chinese Academy Science Beijing China.
Zhong-Dong DuDepartment of Cardiology Beijing Children's Hospital Capital Medical University Beijing China.
University of Science and Technology Beijing · CNBeijing Tongren Hospital · CNCapital Medical University · CNInstitute of Microbiology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is an acute systemic vasculitis that mainly afflicts infants and young children. The symptoms of KD are similar to those of various febrile diseases. Here, we attempted to develop accurate diagnostic biomarkers of KD by performing urine proteomic analysis of samples from healthy controls, patients with KD, and patients with another febrile disease, pneumonia (two patients). We identified differentially expressed proteins (DEPs) in KD as compared to normal controls. We also constructed functional annotation and protein-protein interaction (PPI) networks of DEPs in KD and pneumonia. DEPs common to both KD and pneumonia were identified, as well as DEPs specific to KD. Compared to normal control, 43 and 62 DEPs were identified in KD and pneumonia, respectively. Serine hydroxymethyltransferase 1 is a hub protein of the KD-specific PPI network. Thirteen DEPs common to both KD and pneumonia and 30 DEPs specific to KD were identified. Of these, the expression of eight DEPs could cluster normal and pneumonia samples into one group and cluster KD samples into another group based on hierarchical clustering. Our study identified several DEPs that may play a role in KD and that may serve as diagnostic biomarkers to distinguish patients with KD from both normal control and other febrile diseases.

Indexed as

ProteomicsBiomarkersChild, PreschoolFemaleGlycine HydroxymethyltransferaseHumansMaleMucocutaneous Lymph Node SyndromeBiomarkersGlycine HydroxymethyltransferaseSHMT protein, humanbiomarkerKawasaki diseasepneumoniaproteinurine proteomics

Identifiers

PMID30761252
PMCPMC6356163
OpenAlexW2902784654

What OpenQuestion holds

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LicenceCC BY
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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.