Evidence map›Paper›PMID 42738886›Full record

ArticleCells2026

Transcriptomic Architecture of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) Risk in Mexican Americans.

Satish Kumar, Miriam Aceves, Lorena Guerra, Jose Granados, Earl Novilla, Felicia Juarez, Tolulope Oluwadairo, Ana C Leandro, Marcelo Leandro, Juan Peralta and 3 more

Abstract read
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Satish KumarDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.ORCID 0000-0002-1969-4431
Miriam AcevesDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.ORCID 0000-0002-1778-0213
Lorena GuerraDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.
Jose GranadosDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.
Earl NovillaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.
Felicia JuarezDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.
Tolulope OluwadairoDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.ORCID 0009-0001-7054-2046
Ana C LeandroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.ORCID 0000-0002-7640-3469
Marcelo LeandroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.
Juan PeraltaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.ORCID 0000-0002-8811-5579
Sarah Williams-BlangeroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, McAllen, TX 78504, USA.
John BlangeroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.ORCID 0000-0001-6250-5723
Joanne E CurranDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, College of Sciences, Brownsville, TX 78520, USA.

Funding

Neuroimaging CoreU19AG076581 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GABRIEL Alejandro DE ERAUSQUIN, Gabriela Gonzalez_Aleman · 2023 to 2026
$32.9M
PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI MAHANEY, MICHAEL CHARLES · 1991 to 2012
$27.6M
Workforce Development CoreU54HG013247 · NHGRI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI SARAH A. WILLIAMS-BLANGERO · 2023 to 2026
$10.5M
Experimental Cellular Approaches to Genotype × Environment InteractionRM1GM149403 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI John Blangero, JOANNE E. CURRAN · 2023 to 2026
$6.6M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
NCRR NIH HHS C06 RR020547NHGRI NIH HHS U54 HG013247NHLBI NIH HHS P01 HL045522NIA NIH HHS U19 AG076581NIGMS NIH HHS RM1 GM149403NIH HHS 1P01HL045522-00NIH HHS 1RM1GM149403-23NIH HHS 1U19AG076581-23NIH HHS 1U54HG013247-23Valley Baptist Legacy Foundation 510000000
6 · The paper itself

Abstract

Hispanics of Mexican American descent in South Texas show a very high prevalence of MASLD, with some studies reporting rates as high as 50% in adults. However, assessment of genetic risk factors underlying this prevalence is complicated by a high co-occurrence of other metabolic disorders and variable endogenous and exogenous environmental risk factors. To map the transcriptomic architecture of MASLD hepatic steatosis risk, we conducted an epidemiological-scale investigation using human induced pluripotent stem cell (iPSC)-derived hepatocyte cultures from 193 participants in our longitudinal South Texas Family Study (STFS). iPSC-based models offer greater power to map genetic risk factors by experimentally controlling for confounding organismal and environmental factors. We combined transcriptome-wide gene expression analysis with high-content cellular measurements of neutral lipids to define a core hepatic steatosis MASLD phenotype at baseline (vehicle-treated) and following a lipid challenge. The additive genetic heritability of hepatic steatosis measures was 0.44 (

Indexed as

Fatty LiverMetabolic DiseasesMexican AmericansNon-alcoholic Fatty Liver DiseaseTranscriptomeAdultFemaleGenetic Predisposition to DiseaseHepatocytesHumansInduced Pluripotent Stem CellsMaleMiddle AgedRisk FactorsTexashepatic steatosishepatocytehuman iPSCMASLDtranscriptomics

Identifiers

PMID42738886
PMCPMC13565466

What Socratic holds

Textmetadata
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.