Evidence map›Paper›PMID 32589682›Full record

Observational studyPloS one2020

Identification of pathognomonic purine synthesis biomarkers by metabolomic profiling of adolescents with obesity and type 2 diabetes.

Jennifer Concepcion, Katherine Chen, Rintaro Saito, Jon Gangoiti, Eric Mendez, Maria Eleni Nikita, Bruce A Barshop, Loki Natarajan, Kumar Sharma, Jane J Kim

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

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

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  12. Adenylosuccinic Acid: An Orphan Drug with Untapped Potential.Pharmaceuticals (Basel, Switzerland) · 2023
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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

10 authors at 3 institutions in 2 countries.

Jennifer ConcepcionDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.
Katherine ChenDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.
Rintaro SaitoKeio University, Yamagata, Japan.
Jon GangoitiDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.
Eric MendezDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.
Maria Eleni NikitaDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.
Bruce A BarshopDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0001-9264-3270
Loki NatarajanDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States of America.
Kumar SharmaCenter for Renal Precision Medicine, Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, Unied States of America.
Jane J KimDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0002-0228-0128
University of California San Diego · USThe University of Texas Health Science Center at San Antonio · USYamagata University · JP

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Developing and validating prognostic metabolomic signatures of diabetic kidney diseaseR01DK110541 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NATARAJAN, LOKI · 2017 to 2020
$1.3M
NCATS NIH HHS UL1 TR001442NIDDK NIH HHS R01 DK110541
6 · The paper itself

Abstract

The incidence of type 2 diabetes is increasing more rapidly in adolescents than in any other age group. We identified and compared metabolite signatures in obese children with type 2 diabetes (T2D), obese children without diabetes (OB), and healthy, age- and gender-matched normal weight controls (NW) by measuring 273 analytes in fasting plasma and 24-hour urine samples from 90 subjects by targeted LC-MS/MS. Diabetic subjects were within 2 years of diagnosis in an attempt to capture early-stage disease prior to declining renal function. We found 22 urine metabolites that were uniquely associated with T2D when compared to OB and NW groups. The metabolites most significantly elevated in T2D youth included members of the betaine pathway, nucleic acid metabolism, and branched-chain amino acids (BCAAs) and their catabolites. Notably, the metabolite pattern in OB and T2D groups differed between urine and plasma, suggesting that urinary BCAAs and their intermediates behaved as a more specific biomarker for T2D, while plasma BCAAs associated with the obese, insulin resistant state independent of diabetes status. Correlative analysis of metabolites in the T2D signature indicated that betaine metabolites, BCAAs, and aromatic amino acids were associated with hyperglycemia, but BCAA acylglycine derivatives and nucleic acid metabolites were linked to insulin resistance. Of major interest, we found that urine levels of succinylaminoimidazole carboxamide riboside (SAICA-riboside) were increased in diabetic youth, identifying urine SAICA-riboside as a potential biomarker for T2D.

Indexed as

Insulin ResistanceAdolescentAmino Acids, Branched-ChainBetaineBiomarkersBiosynthetic PathwaysChromatography, High Pressure LiquidComputational BiologyCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMetabolomicsNucleic AcidsObesityAmino Acids, Branched-ChainBetaineBiomarkersNucleic AcidsPurines

Identifiers

PMID32589682
PMCPMC7319336
OpenAlexW3037825188

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.