Evidence map›Paper›PMID 40002664›Full record

ReviewBiomedicines2025

Clinical Electrophysiology and Mathematical Modeling for Precision Diagnosis of Infertility.

Fernanda Carvalho Cavalari, Paola Sulis Mendes, Bruna Antunes Zaniboni, Carine Royer, Bárbara Ogliari Martins Taques, Karina Cesca, Marcela Aragón, Fátima Regina Mena Barreto Silva

Abstract readReview
In one paragraph

Review in Biomedicines, 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.

Fernanda Carvalho CavalariInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.
Paola Sulis MendesInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.
Bruna Antunes ZaniboniInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.
Carine RoyerInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.
Bárbara Ogliari Martins TaquesInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.
Karina CescaInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.ORCID 0000-0002-8932-919X
Marcela AragónInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.ORCID 0000-0003-2862-3771
Fátima Regina Mena Barreto SilvaInstituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Universitário, Rua João Pio Duarte Silva, 241, Sala G301, Florianópolis 88037-000, SC, Brazil.ORCID 0000-0002-1391-2354

Funding

Midwest Consortium for Clinical/Translational Education & Research CollaborationR13TR000070 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2014
$59k
FAPESC 2024TR000070Financiadora de Estudos e Projetos (FINEP) FINEP/MCTI/CT-INFRA 150-2009/IBIOCELNCATS NIH HHS R13 TR000070
6 · The paper itself

Abstract

How can cellular electrophysiology measurements and mathematical modeling of ionic channels help to identify pivotal targets in disease-related cell signaling? The purpose of this review is to highlight the advantages and disadvantages of using both of these complementary techniques to determine molecular targets that may be structurally or functionally altered in a specific disease. In addition, both electrophysiology measurements and mathematical modeling may improve coordinated drug development, accelerate the prediction of new drugs, and facilitate repositioning of pharmacological agents. This review focuses on the data obtained from electrophysiology and mathematical model approaches, including intracellular recording, cellular patch clamp measurements, and the Hodgkin and Huxley equation, as key precision methodologies. To this end, seminiferous tubules, the Sertoli cell line (TM4), and/or primary cultures of Sertoli cells were used to explore the role of follicle-stimulating hormone (FSH), thyroid hormones, retinol, testosterone, and 1,25(OH)

Indexed as

drug developmentelectrophysiologyinfertilitymathematical modelprecision medicinesignaling pathway

Identifiers

PMID40002664
PMCPMC11852050

What Socratic 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 Socratic graph.