Evidence mapPaperPMID 42569731Full record

ArticleLiver international communications2026

Noncoding RNA Transcripts Based Molecular Phenotyping of MASLD and MASH Patients.

Frida M Delgadillo, Karla Perez, Barbara Yang, Subramanian Dhandayuthapani, Murali M Yallapu, Subhash C Chauhan, Enrique I Ramos, Shrikanth S Gadad

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Frida M DelgadilloDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, Texas, USA.
Karla PerezDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, The University of Texas Rio Grande Valley School of Medicine, McAllen, Texas, USA.
Barbara YangDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, Texas, USA.
Subramanian DhandayuthapaniDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, The University of Texas Rio Grande Valley School of Medicine, McAllen, Texas, USA.
Murali M YallapuDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, The University of Texas Rio Grande Valley School of Medicine, McAllen, Texas, USA.ORCID 0000-0002-0073-8828
Subhash C ChauhanDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, The University of Texas Rio Grande Valley School of Medicine, McAllen, Texas, USA.ORCID 0000-0002-3347-5120
Enrique I RamosDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, Texas, USA.
Shrikanth S GadadDivision of Cancer Immunology and Microbiology, Medicine and Oncology Integrated Service Unit, The University of Texas Rio Grande Valley School of Medicine, McAllen, Texas, USA.

Funding

Rio Grande Valley Cancer Health Disparity Research CenterU54MD019970 · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · 2025 to 2025
$3.7M
UTEP Border Biomedical Research CenterU54MD007592 · UNIVERSITY OF TEXAS EL PASO · 2025 to 2025
$3.5M
NCI NIH HHS U54 CA280922NIMHD NIH HHS U54 MD007592NIMHD NIH HHS U54 MD019970
6 · The paper itself

Abstract

Background and Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a progressive hepatic metabolic disorder characterized by excessive fat accumulation in hepatocytes. MASLD can advance to metabolic dysfunction-associated steatohepatitis (MASH). These conditions often lead to hepatic fibrosis, cirrhosis and hepatocellular carcinoma (HCC) if not timely diagnosed and managed; thus, molecular phenotyping of MASLD and MASH conditions is highly desirable. The analyses were performed to identify distinct, differentially expressed genes, particularly noncoding ones, in MASLD and MASH patient samples, thereby expanding diagnostic and therapeutic options. Methods: We extracted the data from a recent transcriptomic study by Govaere et al. on MASLD and MASH patient samples. We focused on transcripts with limited coding potential to broaden the scope of biomarker or therapeutic target identification, given their very specific expression patterns. Results: This analysis identified long noncoding RNAs (lncRNAs) that are differentially expressed among MASLD and MASH conditions. Among the up-regulated lncRNAs, 49 were specific to MASLD, such as Conclusion: This study broadens the scope of noncoding RNA-based MASLD/MASH biomarker and therapeutic target identification, which ultimately aids early diagnosis of these prominent liver diseases and helps prevent advanced liver diseases such as HCC.

Indexed as

long noncoding RNAsMASHMASLDnoncoding transcripts

Identifiers

PMID42569731
PMCPMC13451033

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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 Socratic graph.