Evidence map›Paper›PMID 29813106›Full record

ArticlePloS one2018

Whole blood transcriptional profiles as a prognostic tool in complete and incomplete Kawasaki Disease.

Preeti Jaggi, Asuncion Mejias, Zhaohui Xu, Han Yin, Melissa Moore-Clingenpeel, Bennett Smith, Jane C Burns, Adriana H Tremoulet, Alejandro Jordan-Villegas, Damien Chaussabel and 3 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  12. Flavonoid compound fromFrontiers in cellular and infection microbiology · 2025
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  14. Review
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  17. Susceptibility ofHeliyon · 2024
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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

13 authors.

Preeti JaggiDivision of Pediatric Infectious Disease, Nationwide Children's Hospital, Columbus, OH, United States of America.ORCID 0000-0003-0416-5171
Asuncion MejiasDivision of Pediatric Infectious Disease, Nationwide Children's Hospital, Columbus, OH, United States of America.
Zhaohui XuBaylor Institute for Immunology Research, Dallas, TX, United States of America.
Han YinCenter for Biostatistics, The Research Institute at Nationwide Children's Hospital Columbus, OH, United States of America.
Melissa Moore-ClingenpeelCenter for Biostatistics, The Research Institute at Nationwide Children's Hospital Columbus, OH, United States of America.
Bennett SmithCenter for Vaccines and Immunity, The Research Institute at Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, OH, United States of America.
Jane C BurnsDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA, United States of America.
Adriana H TremouletDepartment of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA, United States of America.
Alejandro Jordan-VillegasDivision of Pediatric Infectious Diseases, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
Damien ChaussabelSidra Medical and Research Center, Doha, Qatar.
Karen TexterDivision of Pediatric Cardiology, Nationwide Children's Hospital, Columbus, OH, United States of America.
Virginia PascualDrukier Institute for Children's Health, and Weill Cornell Medicine, New York City, NY, United States of America.
Octavio RamiloDivision of Pediatric Infectious Disease, Nationwide Children's Hospital, Columbus, OH, United States of America.

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
FDA HHS R01 FD003514NCATS NIH HHS UL1 TR001070
6 · The paper itself

Abstract

backgroundEarly identification of children with Kawasaki Disease (KD) is key for timely initiation of intravenous immunoglobulin (IVIG) therapy. However, the diagnosis of the disease remains challenging, especially in children with an incomplete presentation (inKD). Moreover, we currently lack objective tools for identification of non-response (NR) to IVIG.

methodsChildren with KD were enrolled and samples obtained before IVIG treatment and sequentially at 24 h and 4-6 weeks post-IVIG in a subset of patients. We also enrolled children with other febrile illnesses [adenovirus (AdV); group A streptococcus (GAS)] and healthy controls (HC) for comparative analyses. Blood transcriptional profiles were analyzed to define: a) the cKD and inKD biosignature, b) compare the KD signature with other febrile illnesses and, c) identify biomarkers predictive of clinical outcomes.

resultsWe identified a cKD biosignature (n = 39; HC, n = 16) that was validated in two additional cohorts of children with cKD (n = 37; HC, n = 20) and inKD (n = 13; HC, n = 8) and was characterized by overexpression of inflammation, platelets, apoptosis and neutrophil genes, and underexpression of T and NK cell genes. Classifier genes discriminated KD from adenovirus with higher sensitivity and specificity (92% and 100%, respectively) than for GAS (75% and 87%, respectively). We identified a genomic score (MDTH) that was higher at baseline in IVIG-NR [median 12,290 vs. 5,572 in responders, p = 0.009] and independently predicted IVIG-NR.

conclusionA reproducible biosignature from KD patients was identified, and was similar in children with cKD and inKD. A genomic score allowed early identification of children at higher risk for non-response to IVIG.

Indexed as

Gene Expression ProfilingAdenoviridaeChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMucocutaneous Lymph Node SyndromePrognosisRetrospective Studies

Identifiers

PMID29813106
PMCPMC5973615

What OpenQuestion holds

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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.