Evidence map›Paper›PMID 41298583›Full record

ArticleScientific reports2025

Pro‑inflammatory insulin‑resistant lipid phenotype in down syndrome identified by

Hui-Qi Qu, John J Connolly, Garnet Eister, Frank Mentch, Joseph Glessner, Hakon Hakonarson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Hui-Qi QuThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA.
John J ConnollyThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA.
Garnet EisterThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA.
Frank MentchThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA.
Joseph GlessnerThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA.
Hakon HakonarsonThe Center for Applied Genomics, Children's Hospital of Philadelphia, 3615 Civic Center Blvd Abramson Building, Philadelphia, PA, 19104, USA. hakonarson@chop.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Down syndrome (DS) is associated with elevated rates of insulin resistance and chronic metabolic disease, yet its detailed metabolic and lipidomic profiles, particularly in pediatric populations, remain poorly defined. To characterize plasma lipid profiles in children and young adults with DS and overweight or obesity, to determine degree of lipid heterogeneity and if the observed dyslipidemia is independent of obesity severity. An extended objective is to search for metabolite features that may differentiate DS from weight‑matched controls. Plasma samples from 12 African‑American participants with DS (age 11-21 years, all overweight or obese) and 513 age‑matched overweight or obese controls were profiled by Nightingale

Indexed as

Down SyndromeInsulin ResistanceLipidsMetabolomicsObesityAdolescentBlack or African AmericanChildFemaleHumansLipid MetabolismMagnetic Resonance SpectroscopyMalePhenotypeProton Magnetic Resonance SpectroscopyYoung AdultLipidsAfrican americanDown syndromeDyslipidemiaInflammatory lipid profileInsulin resistanceLipoprotein subclassesMetabolomicsObesity

Identifiers

PMID41298583
PMCPMC12657509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.