| Literature DB >> 32834827 |
Alana Alcântara Galvão1,2, Flávia de Araújo Sena1,2, Emília Maria Medeiros de Andrade Belitardo1,2, Maria Borges Rabelo de Santana1,2, Gustavo Nunes de Oliveira Costa3,4, Álvaro Augusto Cruz5, Maurício Lima Barreto3,6, Ryan Dos Santos Costa1,2, Neuza Maria Alcantara-Neves1,2, Camila Alexandrina Figueiredo1,2,7.
Abstract
BACKGROUND: Vitamin D deficiency or insufficiency, has been associated with atopy and lack of asthma control. Our objective was to investigate associations between variants in genes of vitamin D pathway with serum levels of 25-hydroxyvitamin D (25(OH)D), atopy, asthma and asthma severity in teenagers from Northeast Brazil.Entities:
Keywords: 25(OH)D; Asthma; Atopy; CYP24A1; CYP2R1; IgE; SNVs; VDR; Vitamin D
Year: 2020 PMID: 32834827 PMCID: PMC7386242 DOI: 10.1186/s13223-020-00460-y
Source DB: PubMed Journal: Allergy Asthma Clin Immunol ISSN: 1710-1484 Impact factor: 3.406
Fig. 1Vitamin D pathway and immunological activity.a Vitamin D pathway. 1—Vitamin D starting your synthesis in skin by UVB radiation; 7-dehydrol cholesterol is converted to pre vitamin D3 by UVB radiation. 2—A subsequent thermal isomerization form vitamin D3, that reaches bloodstream and binds to DBP being transported to the tissues. 3—In the liver it is metabolized to 25-hydroxyvitamin D3 by CYP2R1, 4—following another hydroxylation occurs in kidney by CYP27B1 to form 1,25 dihydroxyvitamin D3. The vitamin D levels are regulated by a feedback mechanism over CYP24A1 that hydroxylates 1,25(OH)2D and/or 25(OH)D in position 24, generating an inactive metabolite. 5—Immune cells express CYP27B1 and CYP24A1, being able to regulate vitamin D paracrine metabolism. 6—1,25(OH)2D binds to VDR and regulates gene expression. b Vitamin D in asthma. Asthma can be triggered by many factors such virus, allergens and air pollution; allergens frequently lead epithelial cells to release cytokines IL-25, IL-33 and TSLP, that lead to a Th2 maturation, including ILC2 activation. Th2 cells release Il-4, IL-5 and IL-13 that lead to mast cells and eosinophils recruitment and IgE production that leads to mast cell degranulation and amplification of inflammation. IL-13 leads to increase mucus production in epithelium. The inflammatory cell infiltration leads smooth muscle thickening and contraction; reduction of airway lumen culminates to induce asthma symptoms. A non Th2 asthma profile, can be trigged by virus and air Pollutants, and lead to a Th1 or Th17 response, of neutrophilic profile. T reg cells reduce Th1, Th2 and Th17 response controlling inflammation. 1,25(OH)D can inhibit ILC2, eosinophilic and mast cell proliferation; Inhibits IL-4 release and IgE synthesis. 1.25(OH)D induces Treg response. Orange arrow—activation. Blue arrow—inhibition. TSLP thymic stromal lymphoprotein
Characteristic of 792 studied subjects
| Asthma n/N (%) | *p value | Atopy n/N (%) | *p value | |
|---|---|---|---|---|
| Variables | ||||
| Gender | ||||
| Males | 30/415 (7.2) | 0.434 | 216/415 (52.0) | |
| Female | 33/377 (8.8) | 148/377 (39.3) | ||
| Age | ||||
| 11–14 | 46/478 (9.8) | 218/478 (45.6) | 0.927 | |
| 15–19 | 17/314 (5.4) | 146/314 (46.5) | ||
| Vitamin D (ng/mL) | ||||
| m ± SDa | 27.95 ± 8.98/27.33 ± 9.60 | 0.935 | 26.98 ± 10.12/27.92 ± 9.01 | 0.156 |
| Vitamin D levels | ||||
| Sufficient | 25/305 (8.2) | 0.893 | 131/305 (43.0) | 0.188 |
| Insufficiency/deficiency | 38/487 (7.9) | 233/487 (47.8) | ||
| Vitamin D levels | ||||
| Sufficiency/insufficiency | 52/627 (8.3) | 0.627 | 277/627 (44.2) | 0.054 |
| Deficient | 11/165 (6.7) | 87/166 (52.7) | ||
* Mean Whitney test; Numbers in italics are statically significant
am ± SD median and standard deviation
Significant associations between SNVs in VDR gene with atopy, asthma symptoms and asthma severity
| Phenotype | SNVs | Alele | Model | ORa | CI 95% | |
|---|---|---|---|---|---|---|
| Atopyc | ||||||
| | rs10875694 | A | ADD | 1.35 | 1.01–1.81 | 0.043 |
| Asthma symptoms | ||||||
| | rs9729 | C | ADD | 0.66 | 0.45–0.97 | 0.033 |
| Severe asthma | ||||||
| | rs2189480 | A | ADD | 0.34 | 0.13–0.89 | 0.029 |
| rs4328262 | G | ADD | 3.18 | 1.09–9.28 | 0.034 | |
aUsing logistic regression adjusted by sex, age, and individual genetic ancestry
bPermutational analysis
csIgE ≥ 0.70 to common aeroallergens; ADD additive analysis model
Significant associations between SNVs in VDR, CYP2R1, CYP24A1, vitamin D status and 25(OH)D serum levels
| Phenotype | SNVs | Alele | Model | ORa | CI 95% | P value |
|---|---|---|---|---|---|---|
| 25(OH)D serum levels | ||||||
| Alele | Model | CI 95% | ||||
| | ||||||
| rs12794714 | A | ADD | − 1.38 | − 2.40 to 0.35 | 0.009 | |
| rs10500804 | G | ADD | − 1.37 | − 2.40 to 0.35 | 0.009 | |
| | ||||||
| rs3886163 | T | ADD | − 1.48 | − 2.77 to 0.18 | 0.026 | |
| Vitamin D defficiency | ||||||
| | ||||||
| rs59128934 | G | ADD | 1.78 | 1.12 to 2.83 | 0.014 | |
| | ||||||
| rs3886163 | T | ADD | 1.44 | 1.05 to 1.99 | 0.025 | |
| Vitamin D insufficiency | ||||||
| | ||||||
| rs7967152 | A | ADD | 0.77 | 0.62 to 0.95 | 0.013 | |
| rs9729 | C | ADD | 0.78 | 0.70 to 0.96 | 0.017 | |
| rs739837 | G | ADD | 0.78 | 0.63 to 0.96 | 0.019 | |
| rs11168287 | G | ADD | 0.78 | 0.63 to 0.97 | 0.028 | |
| rs7963776 | G | ADD | 0.79 | 0.64 to 0.98 | 0.029 | |
| rs4237855 | G | ADD | 0.79 | 0.63 to 0.99 | 0.038 | |
| rs59128934 | G | ADD | 2.07 | 1.28 to 3.34 | 0.002 | |
| rs7965274 | T | ADD | 1.31 | 1.01 to 1.70 | 0.044 | |
| rs2853564 | C | ADD | 1.30 | 1.00 to 1.70 | 0.049 | |
| | ||||||
| rs12794714 | A | ADD | 1.41 | 1.11 to 1.79 | 0.005 | |
| rs10500804 | G | ADD | 1.40 | 1.11 to 1.77 | 0.006 | |
| | ||||||
| rs4809960 | C | ADD | 0.69 | 0.53 to 0.91 | 0.008 | |
| rs2245153 | C | ADD | 0.79 | 0.63 to 0.99 | 0.042 | |
| rs56229249 | G | ADD | 1.42 | 1.04 to 1.94 | 0.028 | |
| rs34043203 | A | ADD | 1.49 | 1.00 to 2.22 | 0.049 | |
ADD additive analysis model
aUsing logistic regression adjusted by sex, age and individual genetic ancestry
bPermutational analysis
cLinear regression B coefficient adjusted by sex, age, helminth infection and individual genetic ancestry
Fig. 225OH(D) seric levels by genotypes on SNVs in CYP2R1 and CYP24A1. The a, b and c graphic shows the distribution of 25OH(D) seric levels according genotypes to related SNV’s, horizontal bars represent mean values. p values refers Kruskal–Wallis test and superior bar refer Dunn post test. D table represent measures of central tendency and dispersion to each SNV genotype. p = Kruskal–Wallis analysis. ns non-significant. *p < 0.05 Dunn post test
Genetic risk score analysis between SNVs in CYP2R1, CYP24A1 and 25(OH)D serum levels
| 25(OH)D serum concentration | ||||||
|---|---|---|---|---|---|---|
| rs10500804 | rs12794714 | rs3886163 | Frequency | *p value | ||
| 1 | T | G | C | 0.6016 | 00 | – |
| 2 | T | G | T | 0.1042 | − 1.41 (− 3.25 to 0.42) | 0.130 |
| 3 | G | A | C | 0.2513 | − | |
| 4 | G | A | T | 0.0422 | − | |
aLinear regression B coefficient adjusted by sex, age and individual genetic ancestry
*Snpstat p value
In italic statistically significant association, in italic borderline association
Fig. 3Linkage disequilibrium (r2) in VDR gene on SCAALA population. The LD plot was generates by Haploview program using PLINK 1.07 data set. The top horizontal bar illustrates the SNV’s location on physical scale. The squares colour illustrates the strength of pairwise r2 values scale, where black indicate perfect LD (r2 = 1), grey indicate imperfect LD (1 > r2 < 0) and white indicate equilibrium (r2 = 0). LD value is also indicate inside each square. In a VDR, the rs9729 and rs731236 are in high LD. In b CYP2R1, rs10500804 and rs12794714 are in perfect LD
Fig. 4VDR expression on whole bloond to rs9729 and rs731236. The NES is similar to both variants, their reduce VDR expression. NES normatined gene expression