Evidence mapPaperPMID 38935559Full record

Trial reportDiabetes care2024

Circulating Metabolite Biomarkers of Glycemic Control in Youth-Onset Type 2 Diabetes.

Zsu-Zsu Chen, Chang Lu, Jonathan M Dreyfuss, Gaurav Tiwari, Xu Shi, Shuning Zheng, Danielle Wolfs, Laura Pyle, Petter Bjornstad, Laure El Ghormli and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

12 authors.

Zsu-Zsu ChenBeth Israel Deaconess Medical Center, Boston, MA.ORCID 0000-0001-9441-675X
Chang LuJoslin Diabetes Center, Boston, MA.
Jonathan M DreyfussJoslin Diabetes Center, Boston, MA.
Gaurav TiwariBeth Israel Deaconess Medical Center, Boston, MA.
Xu ShiBeth Israel Deaconess Medical Center, Boston, MA.
Shuning ZhengBeth Israel Deaconess Medical Center, Boston, MA.
Danielle WolfsJoslin Diabetes Center, Boston, MA.
Laura PyleUniversity of Colorado Anschutz Medical School, Aurora, CO.ORCID 0000-0001-5577-8221
Petter BjornstadUniversity of Colorado Anschutz Medical School, Aurora, CO.
Laure El GhormliGeorge Washington University, Washington, DC.ORCID 0000-0003-4223-8407
Robert E GersztenBeth Israel Deaconess Medical Center, Boston, MA.ORCID 0000-0002-6767-7687
Elvira IsganaitisJoslin Diabetes Center, Boston, MA.ORCID 0000-0003-3477-0305

Funding

Statistics Center for Pediatric Type 2 Diabetes TherapyU01DK061230 · GEORGE WASHINGTON UNIVERSITY · 2001 to 2005
$69.5M
PILOT STUDY--SECRETORY TARGETING IN PANCREATIC B CELLSP30DK036836 · JOSLIN DIABETES CENTER · 1986 to 2025
$12.1M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · JOSLIN DIABETES CENTER · 1986 to 2025
$2.6M
Phosphatidylcholine and cholesterol ester biomarkers of type 2 diabetes and preventive treatment effectsK23DK127073 · BETH ISRAEL DEACONESS MEDICAL CENTER · 2025 to 2025
$165k
NIDDK NIH HHS 5U01DK061230-16NIDDK NIH HHS K23 DK127073NIDDK NIH HHS P30 DK036836NIDDK NIH HHS T32 DK007260NIDDK NIH HHS U01 DK061230
6 · The paper itself

Abstract

objectiveWe aimed to identify metabolites associated with loss of glycemic control in youth-onset type 2 diabetes. RESEARCH DESIGN AND

methodsWe measured 480 metabolites in fasting plasma samples from the TODAY (Treatment Options for Type 2 Diabetes in Adolescents and Youth) study. Participants (N = 393; age 10-17 years) were randomly assigned to metformin, metformin plus rosiglitazone, or metformin plus lifestyle intervention. Additional metabolomic measurements after 36 months were obtained in 304 participants. Cox models were used to assess baseline metabolites, interaction of metabolites and treatment group, and change in metabolites (0-36 months), with loss of glycemic control adjusted for age, sex, race, treatment group, and BMI. Metabolite prediction models of glycemic failure were generated using elastic net regression and compared with clinical risk factors.

resultsLoss of glycemic control (HbA1c ≥8% or insulin therapy) occurred in 179 of 393 participants (mean 12.4 months). Baseline levels of 33 metabolites were associated with loss of glycemic control (q < 0.05). Associations of hexose and xanthurenic acid with treatment failure differed by treatment randomization; youths with higher baseline levels of these two compounds had a lower risk of treatment failure with metformin alone. For three metabolites, changes from 0 to 36 months were associated with loss of glycemic control (q < 0.05). Changes in d-gluconic acid and 1,5-AG/1-deoxyglucose, but not baseline levels of measured metabolites, predicted treatment failure better than changes in HbA1c or measures of β-cell function.

conclusionsMetabolomics provides insight into circulating small molecules associated with loss of glycemic control and may highlight metabolic pathways contributing to treatment failure in youth-onset diabetes.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Hypoglycemic AgentsMetforminAdolescentBlood GlucoseChildFemaleGlycated HemoglobinGlycemic ControlHumansMaleRosiglitazoneBiomarkersBlood GlucoseGlycated HemoglobinHypoglycemic AgentsMetforminRosiglitazone

Identifiers

PMID38935559
PMCPMC11362122

What Socratic holds

Texttitle and abstract
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 Socratic graph.