Evidence map›Paper›PMID 41164793›Full record

ArticleFrontiers in neuroscience2025

Lucia Padilla, Coral Del Val, Daria B Neidre, Agustín S Kokenge, Juan E Martinez, Antonio L Teixeira, Igor Zwir, Gabriel A de Erausquin

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Lucia Padilla *Laboratory of Brain Modulation and Repair, Glenn Biggs Institute for Alzheimer's' and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, United States.
Coral Del Val *Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
Daria B NeidreLaboratory of Brain Modulation and Repair, Glenn Biggs Institute for Alzheimer's' and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, United States.
Agustín S KokengeLaboratory of Brain Modulation and Repair, Glenn Biggs Institute for Alzheimer's' and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, United States.
Juan E MartinezDepartment of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
Antonio L TeixeiraLaboratory of Brain Modulation and Repair, Glenn Biggs Institute for Alzheimer's' and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, United States.
Igor ZwirDepartment of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
Gabriel A de ErausquinLaboratory of Brain Modulation and Repair, Glenn Biggs Institute for Alzheimer's' and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, United States.

Funding

Neuroimaging CoreU19AG076581 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GABRIEL Alejandro DE ERAUSQUIN, Gabriela Gonzalez_Aleman · 2023 to 2026
$32.9M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
NIA NIH HHS P30 AG066546NIA NIH HHS U19 AG076581
6 · The paper itself

Abstract

The small-conductance calcium-activated potassium channel SK3, encoded by the KCNN3 gene, plays a critical role in regulating dopaminergic neuron (DN) firing patterns by modulating after hyperpolarization currents. SK3 dysfunction has been implicated in neuropsychiatric and neurodegenerative disorders. We analyzed structural and functional consequences of KCNN3 splicing and genetic variation. Alternative splicing variants of the KCNN3 gene were retrieved from the Ensembl database and aligned using T-Coffee, manually inspected and curated. Protein domains were identified with Pfam 35.0, SMART 9.0, and InterPro 98.0, and visualized. An AlphaFold2 model of SK3 full-length protein (UniProt: Q9UGI6) used as reference and structural models of its splicing variants were predicted with ColabFold. Functional domains (S1-S6 transmembrane helices, H5 pore loop, and calmodulin-binding) were defined and superimposed onto the AlphaFold2 reference. Domain integrity was assessed based on completeness of all expected residue indices within each functional region. SNPs and CNVs across all coding KCNN3 splicing variants were analyzed, classified, and filtered to isolate pathogenic variants prioritizing non-synonymous amino acid substitutions. Differential variant impacts across splicing isoforms were assessed by mapping variant positions to individual transcript protein sequences and used to predict functional consequences. Two long and two short splicing variants are known. Short variants lack the motif required for potassium channels. Pathogenic variants result from missense mutations resulting in amino acid substitutions. In all cases, the consequential effects depend on the specific location and role of the amino acid being changed.

Indexed as

brain developmentdopaminergic neuronsneurodegenerationneuronsSK3 channels

Identifiers

PMID41164793
PMCPMC12560630

What OpenQuestion 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 OpenQuestion graph.