Association of polymorphic markers in innate immunity receptor genes with the risk of primary adrenal insufficiency

Primary adrenal insufficiency is a disease resulting from bilateral destruction of the adrenal cortex. The most common etiological factors are autoimmune disorders and infectious diseases, which indicates the key role of the immune system in the development of this pathology. Activation of innate immune receptors leads to transcription of genes for pro-inflammatory cytokines and type I interferons, which contributes to the further development of the inflammatory process, activating both adaptive and innate immunity. The role of pattern recognition receptors and type I interferons has been previously shown in many autoimmune pathologies, but their significance in primary adrenal insufficiency is still not well understood. To gain a broader understanding of the occurring processes, innate immune receptors are being studied at both the molecular and genetic levels. Thus, the purpose of our work was to study polymorphic markers in the genes of interferon, NOD- and RIG-like receptors and their association with the risk of developing primary adrenal insufficiency. The biomaterial was collected from patients with primary adrenal insufficiency and from healthy individuals and was examined using real-time polymerase chain reaction. It was found that among the six polymorphic markers (rs2257167 in the IFNAR1 gene, rs2229207 in the IFNAR2 gene, rs2075822 in the NOD1 gene, rs8057341 and rs3135499 in the NOD2 gene and rs1990760 in the IFIH1 gene), there are only two sufficient predictors of the risk of developing primary adrenal gland disease: rs2257167 ( IFNAR1 ) and rs2229207 ( IFNAR2 ). The association of heterozygous genotypes of the polymorphic markers rs2257167 ( IFNAR1 ) and rs2229207 ( IFNAR2 ) with the risk of developing pathology, as well as the protective role of the CC genotype of the polymorphic marker rs2257167 ( IFNAR1 ) was shown. The results obtained can be used for early diagnostics of the disease. These data can contribute to a better understanding of the pathogenesis of primary adrenal insufficiency and serve as the basis for further research in the field of personalized medicine. These markers can also be studied in connection with the severity of primary adrenal insufficiency, complications, as well as in connection with the effectiveness of the therapy.

Authors

Institutions

Publication Details

Journal
Medical Immunology (Russia)
Published
2025-06-06
DOI
https://doi.org/10.15789/1563-0625-aop-16798
Primary Topic
Adrenal Hormones and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of polymorphic markers in innate immunity receptor genes with the risk of primary adrenal insufficiency

Е. В. Буданова, N. D. Abramova, I. N. Dyakov, N. D. Rasskazova et al.
Medical Immunology (Russia)
Adrenal Hormones and Disorders
article

Association of polymorphic markers in innate immunity receptor genes with the risk of primary adrenal insufficiency

Е. В. Буданова, N. D. Abramova, I. N. Dyakov, N. D. Rasskazova, E. A. Meremyanina, N. O. Kalyuzhnaya
article en

Abstract

Primary adrenal insufficiency is a disease resulting from bilateral destruction of the adrenal cortex. The most common etiological factors are autoimmune disorders and infectious diseases, which indicates the key role of the immune system in the development of this pathology. Activation of innate immune receptors leads to transcription of genes for pro-inflammatory cytokines and type I interferons, which contributes to the further development of the inflammatory process, activating both adaptive and innate immunity. The role of pattern recognition receptors and type I interferons has been previously shown in many autoimmune pathologies, but their significance in primary adrenal insufficiency is still not well understood. To gain a broader understanding of the occurring processes, innate immune receptors are being studied at both the molecular and genetic levels. Thus, the purpose of our work was to study polymorphic markers in the genes of interferon, NOD- and RIG-like receptors and their association with the risk of developing primary adrenal insufficiency. The biomaterial was collected from patients with primary adrenal insufficiency and from healthy individuals and was examined using real-time polymerase chain reaction. It was found that among the six polymorphic markers (rs2257167 in the IFNAR1 gene, rs2229207 in the IFNAR2 gene, rs2075822 in the NOD1 gene, rs8057341 and rs3135499 in the NOD2 gene and rs1990760 in the IFIH1 gene), there are only two sufficient predictors of the risk of developing primary adrenal gland disease: rs2257167 ( IFNAR1 ) and rs2229207 ( IFNAR2 ). The association of heterozygous genotypes of the polymorphic markers rs2257167 ( IFNAR1 ) and rs2229207 ( IFNAR2 ) with the risk of developing pathology, as well as the protective role of the CC genotype of the polymorphic marker rs2257167 ( IFNAR1 ) was shown. The results obtained can be used for early diagnostics of the disease. These data can contribute to a better understanding of the pathogenesis of primary adrenal insufficiency and serve as the basis for further research in the field of personalized medicine. These markers can also be studied in connection with the severity of primary adrenal insufficiency, complications, as well as in connection with the effectiveness of the therapy.

Medical Immunology (Russia)Vol. 27(3)
Sechenov University (RU), Russian Medical Academy of Continuous Professional Education (RU), Research Institute of Vaccines and Sera. Mechnikov of the Russian Academy of Medical Sciences (RU)
Openalex Percentile: Top 81%
Adrenal Hormones and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.