Evidence map›Paper›PMID 22024611›Full record

ArticleJournal of endocrinological investigation2012

Autoimmune polyendocrinopathy-candidiasis-ectodermal-dystrophy (APECED) in Sicily: confirmation that R203X is the peculiar AIRE gene mutation.

C Giordano, R Modica, M L Allotta, V Guarnotta, S Cervato, S Masiero, R Giordano, S Garelli, C Betterle

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In one paragraph

Article in Journal of endocrinological investigation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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.

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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

C GiordanoEndocrine Unit, Department of Biomedical Internal and Specialist Medicine, Palermo University, Palermo, Italy.
R Modica
M L Allotta
V Guarnotta
S Cervato
S Masiero
R Giordano
S Garelli
C Betterle
University of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutoimmune polyendocrinopathycandidiasis-ectodermal-dystrophy (APECED), also known as autoimmune polyendocrine syndrome type 1 (APS-1) (OMIM 240300), is a very rare disease. Accepted criteria for diagnosis require the presence of at least 2 of 3 major clinical features: chronic mucocutaneous candidiasis (CMC), chronic hypoparathyroidism (CH), and Addison's disease (AD).

aimWe analyzed AIRE gene mutations and genotype-phenotype correlation in APECED patients originating from Sicily and in their relatives. SUBJECTS AND

methodsIn 4 patients, clinical evaluations, genetic analysis of AIRE, and APECED-related autoantibodies were performed.

resultsTwo patients carried the mutation R203X in homozygosis on exon 5. One had the mutation R203X combined with R139X. The fourth had the R203X mutation in heterozygosis with R257X. Expression of the disease showed wide variability of clinical manifestations. Analysis of relatives allowed the identification of 10 heterozygotes for AIRE gene mutations. None of these subjects presented major findings of APECED. Three of the 4 patients were positive for autoantibodies to interferon-ω.

conclusionsIn Sicily, R203X is confirmed to be the typical recessive and prevalent AIRE gene mutation on exon 5. Genotype-phenotype correlation failed to reveal a relationship between detected mutations and clinical expression. Mutations in heterozygosity in AIRE gene are not associated with major findings of APECED.

Indexed as

AdultAIRE ProteinFemaleHumansMaleMutationPolyendocrinopathies, AutoimmuneSicilyTranscription FactorsAIRE ProteinTranscription Factors

Identifiers

PMID22024611
OpenAlexW1582954996

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.