Evidence mapPaperPMID 41561225Full record

ReviewBiochemistry and biophysics reports2026

The role of metformin in extracellular matrix-based three-dimensional cell culture Models: A mini-review on therapeutic potentials.

Mahshid Zamani, Nepton Soltani

Abstract readReview
In one paragraph

Review in Biochemistry and biophysics reports, 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
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

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

2 authors.

Mahshid ZamaniDepartment of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nepton SoltaniDepartment of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metformin, a widely used antidiabetic agent, exhibits pleiotropic effects extending beyond glycemic control, including the modulation of the extracellular matrix (ECM). Although traditional two-dimensional (2D) cell cultures have provided foundational insights, they inadequately replicate the complex tissue microenvironment in which metformin exerts its therapeutic actions. Emerging evidence underscores the pivotal role of ECM composition, stiffness, and cellular context in determining metformin's efficacy-particularly in cancer, fibrosis, and metabolic diseases. However, a comprehensive synthesis of its actions within physiologically relevant three-dimensional (3D) models remains lacking. This mini-review addresses this gap by systematically analyzing the interplay between metformin and the ECM in advanced 3D cell culture systems. We focus on metformin's ability to reprogram stromal cells, modulate mechanotransduction pathways (e.g., AMPK/mTOR), and influence cell-ECM dynamics within specific disease contexts. Furthermore, we discuss the integration of metformin-loaded biomaterials with 3D platforms, highlighting their dual function as drug delivery vehicles and active components of disease models. By synthesizing recent findings, this review emphasizes the bidirectional relationship between metformin and the ECM, positioning 3D culture models as indispensable tools for elucidating context-dependent drug responses. We also identify key challenges, including the lack of standardized ECM-based systems and the underrepresentation of immune and vascular components, and propose future directions for translating these models into personalized therapeutic strategies. This work underscores the necessity of moving beyond conventional 2D paradigms to fully harness metformin's therapeutic potential through the adoption of 3D ECM-based systems.

Indexed as

3D cell culture modelsDrug deliveryExtracellular matrixMetforminTissue engineeringTumor microenvironment

Identifiers

PMID41561225
PMCPMC12813530

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.