Evidence map›Paper›PMID 28262744›Full record

ArticleScientific reports2017

Identification of candidate diagnostic serum biomarkers for Kawasaki disease using proteomic analysis.

Yayoi Kimura, Masakatsu Yanagimachi, Yoko Ino, Mao Aketagawa, Michie Matsuo, Akiko Okayama, Hiroyuki Shimizu, Kunihiro Oba, Ichiro Morioka, Tomoyuki Imagawa and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
  7. Review
  8. Nature communications · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. LRG1: an emerging player in disease pathogenesis.Journal of biomedical science · 2022
    Review
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

14 authors at 6 institutions in 1 country.

Yayoi KimuraAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Masakatsu YanagimachiDepartment of Pediatrics, Yokohama City University School of Medicine, Yokohama, Japan.
Yoko InoAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Mao AketagawaAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Michie MatsuoAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Akiko OkayamaAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Hiroyuki ShimizuDepartment of Pediatrics, Yokohama City University Medical Center, Yokohama, Japan.
Kunihiro ObaDepartment of Pediatrics, Showa General Hospital, Tokyo, Japan.
Ichiro MoriokaDepartment of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan.
Tomoyuki ImagawaDepartment of Infectious Disease &Immunology, Kanagawa Children's Medical Center, Yokohama, Japan.
Tetsuji KanekoTeikyo Academic Research Center, Teikyo University, Tokyo, Japan.
Shumpei YokotaDepartment of Pediatrics, Yokohama City University School of Medicine, Yokohama, Japan.
Hisashi HiranoAdvanced Medical Research Center, Yokohama City University, Yokohama, Japan.
Masaaki MoriDepartment of Pediatrics, Yokohama City University Medical Center, Yokohama, Japan.
Yokohama City University Medical Center · JPYokohama City University · JPKanagawa Children's Medical Center · JPKobe University · JPShowa General Hospital · JPTeikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is a systemic vasculitis and childhood febrile disease that can lead to cardiovascular complications. The diagnosis of KD depends on its clinical features, and thus it is sometimes difficult to make a definitive diagnosis. In order to identify diagnostic serum biomarkers for KD, we explored serum KD-related proteins, which differentially expressed during the acute and recovery phases of two patients by mass spectrometry (MS). We identified a total of 1,879 proteins by MS-based proteomic analysis. The levels of three of these proteins, namely lipopolysaccharide-binding protein (LBP), leucine-rich alpha-2-glycoprotein (LRG1), and angiotensinogen (AGT), were higher in acute phase patients. In contrast, the level of retinol-binding protein 4 (RBP4) was decreased. To confirm the usefulness of these proteins as biomarkers, we analyzed a total of 270 samples, including those collected from 55 patients with acute phase KD, by using western blot analysis and microarray enzyme-linked immunosorbent assays (ELISAs). Over the course of this experiment, we determined that the expression level of these proteins changes specifically in the acute phase of KD, rather than the recovery phase of KD or other febrile illness. Thus, LRG1 could be used as biomarkers to facilitate KD diagnosis based on clinical features.

Indexed as

BiomarkersBlood ProteinsProteomicsAdolescentChildChild, PreschoolEnzyme-Linked Immunosorbent AssayFemaleHumansInfantInfant, NewbornMaleMucocutaneous Lymph Node SyndromePrognosisProteomeReproducibility of ResultsBiomarkersBlood ProteinsProteome

Identifiers

PMID28262744
PMCPMC5338030
OpenAlexW2593270680

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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.