Evidence map›Paper›PMID 42286733›Full record

ArticleJournal of cellular and molecular medicine2026

Exploring the Potential of Calebin-A in Targeting Obesity-Related Genes and Pathways.

Ali Mahmoudi, Ali Saeedi-Boroujeni, Sercan Karav, Prashant Kesharwani, Amirhossein Sahebkar

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ali MahmoudiDepartment of Basic Medical Sciences, Faculty of Medicine, Abadan University of Medical Sciences, Abadan, Iran.
Ali Saeedi-BoroujeniDepartment of Basic Medical Sciences, Faculty of Medicine, Abadan University of Medical Sciences, Abadan, Iran.
Sercan KaravDepartment of Molecular Biology and Genetics, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Prashant KesharwaniNext-Generation Translational Nanomedicine Laboratory, Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya, Sagar, Madhya Pradesh, India.ORCID 0000-0002-0890-769X
Amirhossein SahebkarBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8656-1444

Funding

Abadan University of Medical Sciences 2312
6 · The paper itself

Abstract

Obesity is a global health crisis affecting millions, associated with metabolic disorders such as type 2 diabetes and cardiovascular disease. Calebin-A, a bioactive compound derived from Curcuma species, has shown promise in managing obesity and its complications. This study utilized bioinformatics tools to explore the molecular mechanisms of Calebin-A in obesity. Transcriptomic data from obese and normal omental adipose tissue (GSE286454) were analysed, identifying 317 differentially expressed genes (DEGs). Functional enrichment analysis indicated a notable engagement of lysosomal activity, immune response, cell migration, axon guidance and apoptosis pathways. A STRING-based protein-protein interaction network revealed nine hub genes through a composite centrality score. Among these, CTSB, CTSZ, CTSA, GRN and TUBB exhibited upregulation and were prioritized for subsequent analysis. External validation (GSE59034; 16 obese vs. 16 controls) corroborated the consistent upregulation of CTSB, CTSZ, GRN and CTSA. Target prediction analysis identified 443 potential targets for Calebin-A, with pathway-level overlap suggesting a convergence on immune, lysosomal and cytoskeletal processes. Molecular docking studies indicated favourable binding affinities (-5.2 to -7.1 kcal/mol), with CTSZ demonstrating the most robust interaction. A 100 ns molecular dynamics simulation validated structural stability and indicated favourable binding free energy (MM-PBSA ΔG ≈ -110 kJ/mol). Results suggest that Calebin-A targets genes and proteins involved in energy balance and inflammation, offering insights into its anti-obesity potential. These findings provide a foundation for experimental validation and therapeutic development.

Indexed as

Gene Expression RegulationObesitySignal TransductionComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMolecular Docking SimulationProtein Interaction MapsTranscriptomebioinformaticscalebin‐Agene expressionmolecular dockingobesitypathway analysis

Identifiers

PMID42286733
PMCPMC13263248

What Socratic holds

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Registered trials

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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.