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pmid:40594616

PI3K/AKT signaling pathway plays an important role in the pathogenesis of metabolic dysfunction-associated steatotic liver disease.

Cuiping Shao · Youqing Xu

Scientific reports · 2025 doi:10.1038/s41598-025-07612-3

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40594616
kind
science-record
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sha256:aa02a2a677f4ec0b793342287f0862cc0f2e64e64c411edbf25ca6708817cf1b
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:30:41Z
updated_at
2026-11-01T22:56:44Z
generator object · 2 fields
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paper object · 10 fields
state
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title
PI3K/AKT signaling pathway plays an important role in the pathogenesis of metabolic dysfunction-associated steatotic liver disease.
doi
10.1038/s41598-025-07612-3
pmid
40594616
authors array · 2 items
[0]
Cuiping Shao
[1]
Youqing Xu
journal
Scientific reports
year
2025
abstract
To investigate the potential pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD) by using bioinformatics approaches. Data from three MASLD-related datasets (GSE89632, GSE72756 and GSE49541) were downloaded from the Gene Expression Omnibus (GEO) database and merged for analysis. Differentially expressed genes (DEGs) were identified via the limma package in R (|logFC|> 1, adjusted p value < 0.05). Functional enrichment analysis was conducted via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene set enrichment analysis (GSEA). Protein‒protein interaction (PPI) network analysis was used to identify hub genes related to MASLD. 1278 DEGs (1238 upregulated, 40 downregulated) related to MASLD were identified. GO analysis revealed that the DEGs were involved mainly in the regulation of membrane potential (BP), the monoatomic ion channel complex (CC) and postsynaptic neurotransmitter receptor activity (MF). KEGG analysis highlighted neuroactive ligand-receptor interactions and taste transduction pathways, which were downregulated in MASLD. PPI network analysis identified 10 hub genes: PIK3CD, PIK3R2, PIK3R1, PIK3R3, PIK3CB, PIK3CA, SRC, PIK3CG, PIK3R5 and PIK3R6. This study identified 10 hub genes associated with MASLD, primarily involved in the PI3K/AKT signaling pathway, which could serve as biomarkers for MASLD diagnosis and progression, with the pathway potentially becoming a new therapeutic target.
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The limma package in R was used to identify DEGs between the MASLD samples and HC group samples in the combined dataset.
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sections[4] "Identifcation of differential expressed genes (DEGs) associated with MASLD" paragraph 2
quote
The limma package in R was used to identify DEGs between the MASLD samples and HC group samples in the combined dataset.
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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sections[3] "Data acquisition and preliminary processing" paragraph 2
quote
Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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This study identified 10 hub genes associated with MASLD, primarily involved in the PI3K/AKT signaling pathway, which could serve as biomarkers for MASLD diagnosis and progression, with the pathway potentially becoming a new therapeutic target.
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qualitative
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null
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sections[0] "Abstract" paragraph 1
quote
This study identified 10 hub genes associated with MASLD, primarily involved in the PI3K/AKT signaling pathway, which could serve as biomarkers for MASLD diagnosis and progression, with the pathway potentially becoming a new therapeutic target.
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This study identified 10 hub genes associated with MASLD, primarily involved in the PI3K/AKT signaling pathway, which could serve as biomarkers for MASLD diagnosis and progression, with the pathway potentially becoming a new therapeutic target.
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https://doi.org/10.1038/s41598-025-07612-3
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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570
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Homo sapiens
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Expression data for Nonalcoholic fatty liver disease patients
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2026-11-01T15:39:54Z
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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Genome-wide analysis of long noncoding RNA expression profile in non-alcoholic fatty liver disease
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2026-11-01T15:39:55Z
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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Three MASLD-related datasets (GSE89632 series deposited by Allard JP et al., GSE72756 series deposited by Chuanzheng S et al. and GSE49541 series deposited by Caba O et al.) were downloaded from the Gene Expression Omnibus (GEO) database in NCBI (http://www.ncbi.nlm.nih.gov/gds/).
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14951
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Genome-wide analysis of hepatic gene expression in patients with non-alcoholic fatty liver disease and in healthy donors in relation to hepatic fatty acid composition and other nutritional factors
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2026-11-01T15:39:55Z
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The limma package in R was used to identify DEGs between the MASLD samples and HC group samples in the combined dataset.
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definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
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normalise_counts
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differential_expression_fit
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fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The limma package in R was used to identify DEGs between the MASLD samples and HC group samples in the combined dataset.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40594616", "kind": "science-record", "revision": 4, "content_hash": "sha256:aa02a2a677f4ec0b793342287f0862cc0f2e64e64c411edbf25ca6708817cf1b", "created_at": "2026-11-01T20:30:41Z", "updated_at": "2026-11-01T22:56:44Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "PI3K/AKT signaling pathway plays an important role in the pathogenesis of metabolic dysfunction-associated steatotic liver disease.", "doi": "10.1038/s41598-025-07612-3", "pmid": "40594616", "authors": ["Cuiping Shao", "Youqing Xu"], "journal": "Scientific reports", "year": 2025, "abstract": "To investigate the potential pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD) by using bioinformatics approaches. Data from three MASLD-related datasets (GSE89632, GSE72756 and GSE49541) were downloaded from the Gene Expression Omnibus (GEO) database and merged for analysis. Differentially expressed genes (DEGs) were identified via the limma package in R (|logFC|> 1, adjusted p value < 0.05). Functional enrichment analysis was conducted via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene set enrichment analysis (GSEA). Protein‒protein interaction (PPI) network analysis was used to identify hub genes related to MASLD. 1278 DEGs (1238 upregulated, 40 downregulated) related to MASLD were identified. GO analysis revealed that the DEGs were involved mainly in the regulation of membrane potential (BP), the monoatomic ion channel complex (CC) and postsynaptic neurotransmitter receptor activity (MF). KEGG analysis highlighted neuroactive ligand-receptor interactions and taste transduction pathways, which were downregulated in MASLD. PPI network analysis identified 10 hub genes: PIK3CD, PIK3R2, PIK3R1, PIK3R3, PIK3CB, PIK3CA, SRC, PIK3CG, PIK3R5 and PIK3R6. 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