Evidence map›Paper›PMID 42544450›Full record

ArticleeLife2026

Gene dosage imbalance disrupts systemic metabolism in the Dp16 Down syndrome mouse model.

Fangluo Chen, Muzna Saqib, Christy M Nguyen, Dylan C Sarver, Y Eugene Yu, Susan Aja, Marcus M Seldin, G William Wong

Abstract read
In one paragraph

Article in eLife, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Fangluo Chen *Department of Physiology, Pharmacology and Therapeutics, Johns Hopkins University, School of Medicine, Baltimore, United States.
Muzna Saqib *Department of Physiology, Pharmacology and Therapeutics, Johns Hopkins University, School of Medicine, Baltimore, United States.
Christy M NguyenDepartment of Biological Chemistry, University of California, Irvine, Irvine, United States.
Dylan C SarverDepartment of Physiology, Pharmacology and Therapeutics, Johns Hopkins University, School of Medicine, Baltimore, United States.
Y Eugene YuThe Children's Guild Foundation Down Syndrome Research Program, Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Susan AjaCenter for Metabolism and Obesity Research, Johns Hopkins University, School of Medicine, Baltimore, United States.
Marcus M SeldinDepartment of Biological Chemistry, University of California, Irvine, Irvine, United States.ORCID https://orcid.org/0000-0001-8026-4759
G William WongDepartment of Physiology, Pharmacology and Therapeutics, Johns Hopkins University, School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-5286-6506

Funding

UM1HG006348: Cas9 Genome Integrity Supplemental ProposalUM1HG006348 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI Jason D. Heaney, Chih-Wei Logan Hsu · 2016 to 2026
$47.5M
MULTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007534 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Nadia N Hansel, Larissa A. Shimoda · 1985 to 2026
$28.3M
PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
CTRP and Metabolic ControlR01DK084171 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Guang William Wong · 2010 to 2026
$8.0M
METABOLIC IMPACTS OF TYPE II INTERFERON SIGNALS IN OBESITYR01DK114356 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI HARTIG, SEAN · 2017 to 2025
$4.6M
Metabolic Phenotyping in Live Models of Obesity and DiabetesU2CDK135066 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Carol Fuzeti Elias · 2023 to 2026
$3.5M
Mechanisms of Down syndrome-associated swallowing dysfunction in mouse modelsR01DC019735 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI NADINE P CONNOR, Tiffany Glass · 2022 to 2026
$3.4M
Generation and analysis of new mouse models to determine novel therapeutic targets for Down syndrome-associated cognitive deficitsR01HD109750 · NICHD · ROSWELL PARK CANCER INSTITUTE CORP · PI Eugene Yu · 2022 to 2026
$3.3M
Integrative approaches to dissection of endocrine communicationDP1DK130640 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI SELDIN, MARCUS MICHAEL · 2021 to 2025
$3.2M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
Eunice Kennedy Shriver National Institute of Child Health and Human Development HD109750National Heart Lung and Blood Institute HL138193NHGRI NIH HHS UM1 HG006348NHLBI NIH HHS K99 HL138193NHLBI NIH HHS R00 HL138193NHLBI NIH HHS T32 HL007534NICHD NIH HHS R01 HD109750NIDCD NIH HHS DC019735NIDCD NIH HHS R01 DC019735NIDDK NIH HHS DK084171NIDDK NIH HHS DK130640NIDDK NIH HHS DP1 DK130640NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P60 DK020572NIDDK NIH HHS R01 DK084171NIDDK NIH HHS R01 DK114356NIDDK NIH HHS U2C DK119886NIDDK NIH HHS U2C DK119889NIDDK NIH HHS U2C DK135066NIH HHS OT2 OD030544
6 · The paper itself

Abstract

Gene dosage imbalance resulting from an extra copy of human chromosome 21 (Hsa21) contributes to numerous clinical features in Down syndrome (DS). While dysregulated metabolism has long been noted in DS, the underlying cause is poorly understood and vastly understudied. To fill this critical knowledge gap, we conducted a comprehensive metabolic analysis of Dp(16)1Yey/+mice (abbreviated Dp16), a segmental duplication model carrying ~58% of the triplicated Hsa21 gene orthologs. Our multi-tissue transcriptomic analyses reveal shared and sex-specific increases in expression dosage of the triplicated genes in white and brown adipose tissues, liver, skeletal muscle, and hypothalamus. Despite sexual dimorphism in body weight, body temperature, food intake, and physical activity, Dp16 males and females share striking core phenotypes of pronounced insulin resistance, glucose intolerance, impaired lipid clearance, and dyslipidemia. Functional assessments, combined with biochemical, transcriptomic, and metabolomic analyses reveal tissue signatures of immune activation and a pro-inflammatory state, ER and oxidative stress, fibrosis, impaired glucose and fatty acid catabolism, altered lipid and bile acid profiles, and reduced mitochondrial respiratory capacity in Dp16 mice. These concerted changes disrupt homeostatic mechanisms that underpin metabolic health, contributing to systemic metabolic dysfunction. An obesogenic diet further exacerbates insulin resistance in Dp16 males and females despite divergent weight gain. The collective phenotypes broadly reflect the metabolic profile of DS. Our extensive molecular, biochemical, and physiological data provide an essential foundation for genetic dissection of dosage-sensitive genes affecting glucose and lipid metabolism, and for testing therapeutic strategies to improve metabolic outcomes in DS.

Indexed as

Down SyndromeGene DosageAnimalsDisease Models, AnimalFemaleGene Expression ProfilingInsulin ResistanceLiverMaleMicechromosomesdiabetesdown syndromedyslipidemiagene dosage imbalancegene expressioninsulin resistancemouseobesityphysiology

Identifiers

PMID42544450
PMCPMC13432951

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.