← Search

Excel · study · 2026

Unveiling the Role of Age in MASLD Progression and Biological Process Activation: Implications for Translational Research

Listed in NCBI GEO

Age influence the severity and progression of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), yet their specific contributions to liver injury and molecular alterations remain unclear.

Description

This study investigates how aging influences MASLD progression in a murine model, focusing on histological, biochemical, and transcriptomic differences. Young (2-month-old) and middle-aged (10-month-old) C57BL/6N male and female mice were fed chow (CD) or a high-fat diet (HFD) for 20 weeks.

Metabolic and biochemical parameters were assessed, and liver tissue analyzed by histology and RNA sequencing. Differentially expressed genes were identified with Limma and GO enrichment. Translational relevance was evaluated using the unbiased ranking MASLD Human Proximity Score (MHPS).

Read the rest (3 more)

Middle-aged males developed insulin resistance and more severe hepatic injury than young males after HFD. NAFLD Activity Score confirmed more advanced disease in middle-aged mice, with extensive lipid accumulation, hepatocellular hypertrophy, inflammation and fibrosis. Females showed milder hepatic damage.

Diet was the main determinant of transcriptomic changes in males, with young HFD mice activating tissue remodeling pathways and middle-aged mice showing inflammatory activation and reduced energy metabolism. In females, transcriptomic responses were attenuated, with metabolic and stress-related changes restricted largely to young HFD animals. MHPS ranked the middle-aged male model highest in translational similarity to human MASLD.These findings highlight that age is a primary determinant of hepatic responses to dietary stress, with sex-specific modulation.

The middle-aged male model closely mirrors human MASLD, providing a more relevant preclinical platform to improve patient stratification and therapeutic discovery.

Links

Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
Biochemistry and cell biology 70% · Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30972515 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3101enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title