Evidence map›Paper›PMID 34735462›Full record

SynthesisPloS one2021

Effect of PTPN22, FAS/FASL, IL2RA and CTLA4 genetic polymorphisms on the risk of developing alopecia areata: A systematic review of the literature and meta-analysis.

S R Gil-Quiñones, I T Sepúlveda-Pachón, G Sánchez Vanegas, L D Gutierrez-Castañeda

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06545110 (Retinol Binding Protein 4 Expression and Its Genetic Variants in Severe Alopecia Areata Treated With Barcitinib.), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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.

NCT06545110 phase1active not recruitingnot on this mapstarted 2023, after this paper: background citation

Retinol Binding Protein 4 Expression and Its Genetic Variants in Severe Alopecia Areata Treated With Barcitinib.

TypeinterventionalSponsorSouth Valley UniversityRan2023 to 2024Enrolled120ConditionsAlopecia AreataArmsBaricitinib Oral Tablet
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Genetic Polymorphism ofMedicina (Kaunas, Lithuania) · 2022
    Review
  7. Alopecia Areata: An Updated Review for 2023.Journal of cutaneous medicine and surgery
    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 at 1 institution in 1 country.

S R Gil-QuiñonesClinical Epidemiology Program, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá, Colombia.ORCID 0000-0002-5974-1431
I T Sepúlveda-PachónClinical Epidemiology Program, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá, Colombia.
G Sánchez VanegasClinical Epidemiology Program, Research Institute, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá, Colombia.ORCID 0000-0002-4954-7803
L D Gutierrez-CastañedaResearch Institute, Group of Basic Sciences in Health (CBS)-FUCS, Fundación Universitaria de Ciencias de la Salud (FUCS), Bogotá, Colombia.ORCID 0000-0002-6155-3771
Fundación Universitaria de Ciencias de la Salud · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGenetic association studies on alopecia areata (AA) performed in various populations have shown heterogeneous results. The aim of the current review was to synthesize the results of said studies to estimate the impact of FAS, FASL, PTPN22, CTLA4 and IL2RA gene polymorphisms on AA susceptibility.

designA systematic literature search was conducted in the Medline, Web of Science, Scopus, EMBASE and LILACS databases. Studies published up to June 2020 were included. The results available in the grey literature including the Open Grey and Google Scholar databases were also used. The texts of potentially related studies were screened by individual reviewers. Evidence of publication bias was assessed using the Newcastle-Ottawa scale and the quality of evidence was assessed using the GRADE system. The quantitative synthesis was performed using the fixed effect model.

resultsOut of 1784 articles, we identified 18 relevant articles for the qualitative synthesis and 16 for the quantitative synthesis. In a study of rs2476601 polymorphism of PTPN22 gene, including 1292 cases and 1832 controls, a correlation was found with the risk of developing AA in the allelic model (OR1.49 [95% C:1.13-1.95]), the heterozygous codominant (OR1.44 [95% CI:1:19-1.76]) and dominant model (OR1.43 [95% CI:1.18-1.73]). No association was found between the presence of FASL, PTPN22, CTLA and IL2RA gene polymorphisms with AA susceptibility.

conclusionsThe results suggest that the T allele of the single nucleoid polymorphism (SNP) rs2476601 in PTPN22 gene is a risk factor for developing alopecia areata. However, more robust studies defining the ethnic background of the population of origin are required, so that the risk identified in the present study can be validated. Additionally, a greater number of studies is necessary to evaluate the role of the FAS, FASL, PTPN22, CTLA4 and IL2RA genetic variants, given the heterogenous results found in the literature.

Indexed as

AllelesAlopecia AreataCTLA-4 AntigenFas Ligand Proteinfas ReceptorGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansInterleukin-2 Receptor alpha SubunitPolymorphism, Single NucleotideProtein Tyrosine Phosphatase, Non-Receptor Type 22CTLA-4 AntigenCTLA4 protein, humanFASLG protein, humanFas Ligand ProteinFAS protein, humanfas ReceptorIL2RA protein, humanInterleukin-2 Receptor alpha SubunitProtein Tyrosine Phosphatase, Non-Receptor Type 22PTPN22 protein, human

Identifiers

PMID34735462
PMCPMC8568157
OpenAlexW3209749006

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.