Evidence mapPaperPMID 40869253Full record

ArticleInternational journal of molecular sciences2025

Inflammatory Crosstalk Between Type 2 Diabetes and Sarcopenia: Insights from In Silico Evaluation.

Cristina Russo, Maria Stella Valle, Maria Teresa Cambria, Lucia Malaguarnera

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
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

4 authors.

Cristina RussoSection of Pathology, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-6709-4537
Maria Stella ValleSection of Physiology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-9728-3542
Maria Teresa CambriaSection of Biochemistry, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, Italy.
Lucia MalaguarneraSection of Pathology, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-5171-7963

Funding

This research was founded by University of Catania, grant "fondi di ateneo 2024-2026" PIA.CE.RI, linea Open Access. fondi di ateneo 2024-2026" PIA.CE.RI, linea Open Access.
6 · The paper itself

Abstract

Sarcopenia and type 2 diabetes mellitus (T2DM) are chronic conditions that gradually affect the elderly, often coexisting and interacting in complex ways. Sarcopenia, which is characterized by the progressive loss of muscle mass and function, is frequently observed in individuals with T2DM. Although the clinical association is well known, the molecular mechanisms remain unclear. Gene expression datasets were retrieved from the Gene Expression Omnibus database. DEGs were identified using the limma package in R (R 4.4.0). Shared DEGs were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Protein-protein interaction networks were constructed using the STRING database and were visualized with Cytoscape. Hub genes were identified via six topological algorithms in the CytoHubba plugin. Pearson's correlation analysis was conducted between hub genes and selected metabolic regulators. GO and KEGG enrichment analyses indicated that mitochondrial function, oxidative phosphorylation, and immune-inflammatory responses were significantly enriched. A PPI network revealed a mitochondrial hub of five key genes involved in energy metabolism, whose downregulation suggests mitochondrial dysfunction as a shared mechanism in sarcopenia and T2DM. Our results provide new insight into the molecular overlap between T2DM and sarcopenia, highlighting potential biomarkers and therapeutic targets for addressing both metabolic disruption and muscle decline.

Indexed as

Diabetes Mellitus, Type 2InflammationSarcopeniaComputational BiologyComputer SimulationDatabases, GeneticGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansProtein Interaction Mapsadipokines and myokinesdiabetesmetabolic inflammationmitochondrial dysfunctionsarcopeniatranscriptomic signature

Identifiers

PMID40869253
PMCPMC12386518

What Socratic holds

Textmetadata
LicenceCC BY
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.