Evidence map›Paper›PMID 42075902›Full record

ReviewPharmaceuticals (Basel, Switzerland)2026

Targeting the Ras-Ral Signaling Axis in Type 2 Diabetes Mellitus: A Dual-Modulation Approach to Correcting Insulin Resistance and β-Cell Dysfunction.

Narayanan Thulasi, Kannan Harithpriya, Kumar Ganesan, Kunka Mohanram Ramkumar

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

4 authors.

Narayanan ThulasiDepartment of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India.ORCID 0009-0004-2303-9933
Kannan HarithpriyaDepartment of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India.
Kumar GanesanSchool of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-3198-6066
Kunka Mohanram RamkumarDepartment of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India.ORCID 0000-0001-5450-902X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is driven by insulin resistance and β-cell dysfunction. While Ras GTPases are known for oncogenic signaling, emerging evidence implicates the Ras-Ral axis as a critical regulator of glucose homeostasis. This review synthesizes the distinct roles of Ras and Ral in metabolism. Ras hyperactivation promotes insulin resistance and inflammation via MAPK/PI3K pathways, whereas RalA supports GLUT4 translocation and insulin granule exocytosis. We propose a dual-pathway hypothesis: T2DM pathophysiology involves an imbalance characterized by excessive Ras signaling and insufficient Ral-mediated metabolic actions. Consequently, we explore the therapeutic potential of rebalancing this axis through combinatorial strategies, that selectively inhibit pathogenic Ras while enhancing protective Ral activity. We critically evaluate current Ras-targeted agents (e.g., farnesyltransferase inhibitors, allele-specific inhibitors) and discuss the emerging frontier of Ral-specific enhancers. Finally, we outline key translational challenges and future directions for validating this axis as a target for precision medicine in T2DM.

Indexed as

insulin resistancemolecular therapeuticsRal GTPasesRas GTPasestype 2 diabetes mellitusβ-cell dysfunction

Identifiers

PMID42075902
PMCPMC13119517

What Socratic holds

Textmetadata
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.