Evidence map›Paper›PMID 40745211›Full record

ReviewEMBO molecular medicine2025

Dominant Gα mutations in human disease: unifying mechanisms and treatment strategies.

Vladimir L Katanaev, Gonzalo P Solis

Abstract readReview
In one paragraph

Review in EMBO molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Pathogenic Gαo Mutants Drive Dominant GPCR Coupling in GNAO1 Encephalopathies.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. 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.

Vladimir L KatanaevTranslational Research Center in Oncohaematology, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, CH-1211, Switzerland. Vladimir.Katanaev@unige.ch.ORCID 0000-0002-7909-5617
Gonzalo P SolisTranslational Research Center in Oncohaematology, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, CH-1211, Switzerland. Gonzalo.Solis@unige.ch.ORCID 0000-0002-2359-3780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sixteen Gα-subunits transduce hundreds of G protein-coupled receptors and control countless cellular activities. Mutations in respective GNA genes underlie developmental, oncological, metabolic, neurological, and other pathologies. In addition to classical loss-of-function (LOF) and gain-of-function (GOF) mutations (the former represented by gene deletions/truncations, the latter by specific GTP hydrolysis-deficient mutations), multiple pathogenic dominant missense variants have been discovered in GNA genes, and their numbers constantly increase through advanced genetic diagnostics. While these mutations often have confusing features of hypomorphic, dominant-negative, and GOF mutations, many of the pathogenic Gαo (and by inference, other Gα-subunit) variants have recently emerged as neomorphic, i.e., leading to the creation of novel dominant pathogenic functions. Cross-family analysis of these missense variants scattered across GNA genes permits establishing mutational signatures underlying a wide range of Gα-pathies. These mutation patterns have a strong predictive power in the following aspects. First, new dominant mutations in further GNA genes will be discovered in rare diseases. Second, unifying mechanisms of pathogenic dominance emerge in different Gα-subunits. And third, drug(s) acting against some Gα-pathies may prove effective against others.

Indexed as

GTP-Binding Protein alpha SubunitsMutationHumansMutation, MissenseGTP-Binding Protein alpha Subunits

Identifiers

PMID40745211
PMCPMC12423288

What OpenQuestion 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 OpenQuestion graph.