| Literature DB >> 35079965 |
Anna Kurzyńska1, Anna Skalniak1, Kim Franson2, Viola Bistika3, Alicja Hubalewska-Dydejczyk1, Elwira Przybylik-Mazurek4.
Abstract
PURPOSE: The prevalence of CYP21A2 gene variants and genotype-phenotype correlations are variable among populations. The aim of this study was to characterize CYP21A2 gene variants in adult patients with classical congenital adrenal hyperplasia (CCAH) from southern Poland and to analyze genotype-phenotype correlations. MATERIALS/Entities:
Keywords: 21-hydroxylase deficiency; CYP21A2; Congenital adrenal hyperplasia; Genotype-phenotype correlation
Mesh:
Substances:
Year: 2022 PMID: 35079965 PMCID: PMC9130175 DOI: 10.1007/s42000-022-00348-z
Source DB: PubMed Journal: Hormones (Athens) ISSN: 1109-3099 Impact factor: 3.419
Fig. 1CYP21A2 variants found in 44 patients (88 alleles) with CCAH
Fig. 2Visual representation of data profiles — CAH genotypes and genetic variants
Genetic variants among 88 alleles
| Genetic variants distribution among 88 alleles | |||||
|---|---|---|---|---|---|
| Genotype | Genotype A | Genotype B | Genotype D | ||
| del | 9 (75.0) | 10 (23.8) | 8 (36.4) | 2 (16.7) | < 0.001 |
| I172N | 0 | 0 | 12 (54.5) | 0 | < 0.001 |
| I2G | 0 | 30 (71.4) | 2 (9.1) | 2 (16.7) | < 0.001 |
| STOP codon | 3 (25.0) | 0 | 0 | 0 | < 0.001 |
| other | 0 | 2 (4.8) | 0 | 8 (66.7) | < 0.001 |
Categorical data were compared with the chi-square test
Clinical and molecular data according to genotypes
| Genotype | Genotype A | Genotype B | Genotype D | ||
|---|---|---|---|---|---|
| Male sex (N [%]) | 2 (33.3) | 7 (33.3) | 3 (36.4) | 1 (16.7) | 0.861 |
| CCAH type (N [%]): | 0.010 | ||||
| SV | 0 (0.0) | 2 (9.5) | 4 (36.4) | 4 (66.7) | |
| SW | 6 (100.0) | 19 (90.5) | 7 (63.6) | 2 (33.3) | |
| Age of inclusion in the study (years)(Me [Q1; Q3]) | 20.5(19.0; 26.0) | 28.0 (20.0; 31.0) | 23.0 (20.0; 48.0) | 24.0 (20.0; 28.0) | 0.756 |
| Menarche (years) (Me [Q1; Q3]) | 13.5 (12.5; 17.0) | 13.0 (12.0; 14.5) | 12.5 (11.0; 14.0) | 12.0 (11.0; 14.0) | 0.582 |
| Height (cm)( | 161.3 ± 11.7 | 159.4 ± 11.9 | 161.6 ± 4.9 | 160.2 ± 10.2 | 0.978 |
| BMI (kg/m2) ( | 27.2 ± 8.0 | 27.3 ± 5.9 | 28.3 ± 6.8 | 22.0 ± 3.0 | 0.187 |
| 17-OHP serum concentration (nmol/L) (Me [Q1; Q3]) | 24.5 (6.0; 43.9) | 28.7 (8.8; 60.5) | 18.8 (14.2; 60.5) | 14.2 (4.8; 33.0) | 0.874 |
| Fasting glucose (mmol/l) ( ± SD) | 4.5 ± 0.2 | 4.8 ± 0.5 | 4.4 ± 0.6 | 4.4 ± 0.4 | 0.056 |
| Expected effect(N [%]): | 0.164 | ||||
| Full blown | 6 (100.0) | 18 (85.7) | 11 (100.0) | 4 (66.7) | |
| Carrier | 0 (0.0) | 3 (14.3) | 0 (0.0) | 2 (33.3) | |
| Maximal residual enzyme activity: | < 0.001 | ||||
| 0% | 6 (100) | 1 (4.8) | 0 | 0 | |
| < 1% | 0 | 18 (85.7) | 0 | 0 | |
| 1% | 0 | 2 (9.5) | 0 | 0 | |
| 2–11% | 0 | 0 | 11 (100) | 0 | |
| Unknown | 0 | 0 | 0 | 6 (100) | |
| Treatment | |||||
| Hydrocortisone (N (%]) | 6 (100.0) | 19 (90.5) | 10 (90.9) | 5 (83.3) | 0.802 |
| Dexamethasone (N [%]) | 6 (100.0) | 15 (71.4) | 7 (63.6) | 2 (33.3) | 0.101 |
| Prednisone (N [%]) | 0 (0.0) | 7 (33.3) | 0 (0.0) | 0 (0.0) | 0.031 |
| Fludrocortisone (N [%]) | 6 (100.0) | 17 (81.0) | 8 (72.7) | 3 (50.0) | 0.213 |
CCAH, classical congenital adrenal hyperplasia; SV, simple virilizing; SW, salt-wasting; 17-OHP, 17-hydroxyprogesterone. Continuous data were compared using the Kruskal-Wallis. Categorical data were compared with the chi-square test
Most common genetic alterations reported in several previous studies
| Country | Study (first author) | Year of publication | Centers included in the study | Total CAH cases (CCAH and NCAH) | CCAH | Most common genetic alteration | Frequency (%) | |
|---|---|---|---|---|---|---|---|---|
| SW | SV | |||||||
| Germany | Riedl S. | 2019 | Multicenter | 538 | 386 | 98 | Del/conversions | 29.6 |
| Austria | ||||||||
| Germany | Krone N. | 2000 | Multicenter | 155 | 92 | 52 | I2G | 30.3 |
| Croatia | Dumic KK. | 2017 | Multicenter | 93 | 66 | 23 | I2G | 35.5 |
| Turkey | Turan I. | 2020 | Single center | 113 | 82 | 24 | I2G | 38.4 |
| India | Khajuria R. | 2017 | Single center | 55 | 19 | 30 | I2G | 20.0 |
| China | Xu C. | 2019 | Single | 72 | 47 | 11 | I2G | 33.0 |
| Wang R. | 2016 | center | 230 | 142 | 60 | I2G | 35.0 | |
| Single center | ||||||||
| Serbia | Milacic I. | 2015 | Multicenter | 61 | 19 | 15 | I2G | 18.5 |
| Cuba | Espinosa Reyes TM. | 2020 | Single center | 31 | 16 | 12 | I2G | 38.7 |
| Argentina | Marino R. | 2011 | Multicenter | 454 | 162 | 75 | p.Val282Leu | 26.2 |
| Brazil | De Carvalho DF. | 2016 | Single center | 480 | 158 | 116 | p.Val282Leu | 26.6 |
| Portugal | Santos-Silva R. | 2019 | Multicenter | 212 | 61 | 24 | p.Val282Leu | 41.3 |
| Cyprus | Neocleous V. | 2019 | Multicenter | 120 | 11 | 7 | p.Val282Leu | 60.0 |
| USA | New MI. | 2013 | Multicenter | 1500 | 606 | 187 | p.Val282Leu | 23.9 |