Evidence mapPaperPMID 41514860Full record

ArticleBiology2025

Microinflammation-Driven Gene Expression Dynamics in the Pathogenesis of Metabolic Disorders and Cancer.

Marian Elisa Gabrielle T Cadungog, Lemmuel L Tayo

Abstract read
In one paragraph

Article in Biology, 2025. 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. Review
  2. Article
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

2 authors.

Marian Elisa Gabrielle T CadungogSchool of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines.
Lemmuel L TayoDepartment of Biology, School of Health Sciences, Mapúa University, Makati 1203, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microinflammation serves as a central mechanism linking metabolic diseases and cancer. This study integrates gene expression profiles from irritable bowel syndrome (IBS), obesity, type 2 diabetes (T2D), colorectal cancer (CRC), renal cell carcinoma (RCC), and pancreatic cancer (PC) to identify shared molecular drivers of inflammation-mediated pathology. Weighted gene co-expression network analysis (WGCNA) revealed three highly preserved modules (blue, brown, turquoise) enriched in RNA processing, spliceosome assembly, ribosome biogenesis, and proteostasis regulation. Key hub genes, along with regulatory miRNAs have interconnected networks that modulate transcription, mRNA maturation, protein synthesis, and inflammatory signaling. Although classical inflammatory pathways were not directly enriched, their activity appears to be indirectly shaped by disruptions in RNA-processing and proteostasis machinery. Additionally, gut microbiota-derived products and altered metabolic states may further reinforce these transcriptional and post-transcriptional imbalances. Collectively, these findings reveal conserved molecular signatures that bridge microinflammation, metabolic disease, and oncogenesis, and highlight potential diagnostic and therapeutic targets centered on RNA regulation, proteostasis, and miRNA-mediated control.

Indexed as

cancer–metabolic disease interactioninflammation–metabolism crosstalkmetabolic reprogrammingmicroinflammationmicroRNAsproteostasisribosome biogenesisRNA processingspliceosome

Identifiers

PMID41514860
PMCPMC12784870

What Socratic holds

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LicenceCC BY
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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.