Evidence map›Paper›PMID 39423205›Full record

ArticlePloS one2024

Trio-based exome sequencing and high-resolution HLA typing in families of patients with autoimmune adrenal insufficiency and autoimmune polyglandular syndrome.

Anastasiia Buianova, Marina Yukina, Valery Cheranev, Oleg Suchalko, Anna Shmitko, Alina Samitova, Nurana Nuralieva, Elena Kulagina, Elena Savvateeva, Ekaterina Troshina and 3 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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

13 authors.

Anastasiia BuianovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.ORCID 0000-0001-7894-9222
Marina YukinaEndocrinology Research Centre, Ministry of Health of Russia, Moscow, Russia.
Valery CheranevCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Oleg SuchalkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Anna ShmitkoCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Alina SamitovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Nurana NuralievaEndocrinology Research Centre, Ministry of Health of Russia, Moscow, Russia.ORCID 0000-0001-6876-3336
Elena KulaginaEngelhardt Institute of Molecular Biology (EIMB), Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Russian Academy of Sciences, Moscow, Russia.
Elena SavvateevaEngelhardt Institute of Molecular Biology (EIMB), Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Russian Academy of Sciences, Moscow, Russia.
Ekaterina TroshinaEndocrinology Research Centre, Ministry of Health of Russia, Moscow, Russia.
Denis RebrikovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Dmitry GryadunovEngelhardt Institute of Molecular Biology (EIMB), Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-3183-318X
Dmitriy KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia.ORCID 0000-0003-1343-2550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune adrenal insufficiency (AAI) is a rare disease. This research evaluates three patients with AAI, including autoimmune polyglandular syndrome (APS) type 2. Two patients had APS or AAI during childhood, and one had a history of endocrine autoimmune disease, indicating a possible hereditary basis of the condition. Trio-based exome sequencing and high-resolution HLA typing were employed to analyze patients and their parents. Benign or likely benign variants of the AIRE gene were identified in all participants of the study. These variants, coupled with clinical data and the results of antibody studies to type I interferons, helped to exclude APS-1. Patients with APS-2, in contrast to patient with AAI, inherited distinct variants of unknown significance in the CLEC16A gene, which is associated with autoimmune diseases, including AAI. Various risk alleles in other genes associated with autoimmunity were identified in all patients. HLA typing of class II loci revealed alleles related to APS. Nevertheless, the frequencies of the haplotypes identified are substantial in the healthy Russian population. Immunological tests can detect antibody carriers and assess the risk of autoimmune disease development. In the future, to identify genetic predictors of autoimmune endocrinopathies, it is recommended to analyze the whole genome of patients and their relatives, examining clinically relevant variants in non-coding regions.

Indexed as

Exome SequencingHistocompatibility TestingPolyendocrinopathies, AutoimmuneAddison DiseaseAdolescentAdultAIRE ProteinAllelesFemaleGenetic Predisposition to DiseaseHaplotypesHumansMalePedigreeTranscription FactorsAIRE ProteinTranscription Factors

Identifiers

PMID39423205
PMCPMC11488712

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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.