Evidence map›Paper›PMID 35460250›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Expression-based Genome-wide Association Study Links OPN and IL1-RA With Newly Diagnosed Type 1 Diabetes in Children.

Xiaofan Jia, Kyoko Toda, Ling He, Dongmei Miao, Satoru Yamada, Liping Yu, Keiichi Kodama

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 2 countries.

Xiaofan JiaBarbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado 80045, USA.
Kyoko TodaBiomedical Research Center, Kitasato Institute Hospital, Kitasato University, Tokyo 108-8642, Japan.
Ling HeBarbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado 80045, USA.
Dongmei MiaoBarbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado 80045, USA.
Satoru YamadaDiabetes Center, Kitasato Institute Hospital, Kitasato University, Tokyo 108-8642, Japan.
Liping YuBarbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado 80045, USA.ORCID 0000-0003-0664-2154
Keiichi KodamaHealth Promotion Team, ORIX Group Health Insurance Society, ORIX Corporation, Tokyo 105-6135, Japan.ORCID 0000-0001-8509-1199
University of Colorado Denver · USKitasato Institute Hospital · JPSanno Medical Center · JP

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Juvenile Diabetes Research Foundation 2-SRA-2019-695-S-BNIDDK NIH HHS P30 DK116073
6 · The paper itself

Abstract

contextIslet autoantibodies (IAbs) are currently the most reliable indicators of islet autoimmunity. However, IAbs do not fully meet the need for the prediction and intervention of type 1 diabetes (T1D). Serological proteins should be great sources for biomarkers.

objectiveThis work aimed to identify new proteomic biomarkers with the technology of an expression-based genome-wide association study (eGWAS) in children newly diagnosed with T1D.

methodsIn an attempt to identify additional biomarkers, we performed an eGWAS using microarray data from 169 arrays of the pancreatic islets of T1D rodents (78 T1D cases and 91 controls). We ranked all 16 099 protein-coding genes by the likelihood of differential expression in the pancreatic islets. Our top 20 secreted proteins were screened in 170 children including 100 newly diagnosed T1D, and 50 type 2 diabetes (T2D) and 20 age-matched healthy children. With 6 proteins showing significance, we further conducted a validation study using the second independent set of 400 samples from children including 200 newly diagnosed with T1D, 100 T2D, and 100 age-matched controls.

resultsWe identified 2 serum proteins that were significantly changed in T1D vs both control and T2D, and 5 serum proteins were significantly changed both in T1D and T2D vs control. Serum osteopontin (OPN) levels were uniquely higher in T1D (T1D vs controls, P = 1.29E-13 ~ 9.38E-7, T1D vs T2D, P = 2.65E-8 ~ 1.58E-7) with no difference between T2D and healthy control individuals. Serum interleukin 1 receptor antagonist (IL-1RA) levels were lower in T1D compared both with T2D (P = 3.36E-9~0.0236) and healthy participants (P = 1.09E-79 ~ 2.00E-12).

conclusionOur results suggest that OPN and IL1-RA could be candidates for useful biomarkers for T1D in children.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AutoantibodiesBiomarkersChildGenome-Wide Association StudyHumansInterleukin 1 Receptor Antagonist ProteinOsteopontinProteomicsAutoantibodiesBiomarkersIL1RN protein, humanInterleukin 1 Receptor Antagonist ProteinOsteopontinbiomarkereGWASIL1-RAosteopontinproteomicstype 1 diabetes

Identifiers

PMID35460250
PMCPMC9391606
OpenAlexW4224310983

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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.