Evidence map›Paper›PMID 39318016›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2025

Interpreting the Function of the IL-23/IL-17 Axis through Bioinformatics.

Sonia Isela Vazquez-Jimenez, Grecia Denisse Gonzalez-Sanchez, Celia Guerrero-Velazquez, Juan Manuel Guzman-Flores

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 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. Review
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.

Sonia Isela Vazquez-JimenezDoctorado en Biociencias, Centro Universitario de Los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México.ORCID 0000-0001-6239-4998
Grecia Denisse Gonzalez-SanchezDoctorado en Biociencias, Centro Universitario de Los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México.ORCID 0000-0002-4628-8498
Celia Guerrero-VelazquezInstituto de Investigación en Odontología, Departamento de clínicas odontológicas integrales, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México.
Juan Manuel Guzman-FloresDepartamento de Ciencias de la Salud, Centro Universitario de Los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, México.ORCID 0000-0002-4673-112X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

objectiveBioinformatic analysis is a valuable tool that allows us to collect, archive, analyze, and disseminate biological data for further interpretation. Analysis of the IL-23/IL-17A axis and its receptors will provide us with essential information about their functions, interactions, and relationships with various diseases. This review aims to identify the central genes co-expressed in the IL-23/IL-17A axis and their receptors and to understand their ontology and modifying factors.

methodsWe used several databases, including COXPRESdb to obtain the co-expressed genes, ShinyGO and ToppGene platforms to explore gene functional enrichment, and the NetworkAnalyst 3.0 platform for gene expression profiling.

resultsWe found that genes encoding IL-23/IL-17A axis proteins and their receptors mainly respond to microbial components, participate in the inflammatory response, and are primarily associated with inflammatory and autoimmune diseases. In addition, we observed an association of the IL-23/IL-17 axis with Behcet's disease, Graft-versus-host disease, and Hodgkin's disease, although there is no direct evidence of their interaction.

conclusionThe IL-23/IL-17A axis is associated with several inflammatory and autoimmune pathologies. Therefore, we suggest further research to confirm its role in these pathologies and, if possible, use it as a therapeutic target.

Indexed as

Computational BiologyInterleukin-17Interleukin-23AnimalsDatabases, GeneticGene Expression ProfilingHumansSignal TransductionIL17A protein, humanInterleukin-17Interleukin-23bioinformaticscytokinegeneIL-17IL-23inflammationreceptor.

Identifiers

What OpenQuestion holds

Textmetadata
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.