| Literature DB >> 34959633 |
Jessica Cusato1, Lorenzo Bertani2, Miriam Antonucci1, Cristina Tomasello3, Gian Paolo Caviglia4, Simone Dibitetto4, Alessandro Massano4, Michela Mangia4, Jacopo Mula1, Linda Ceccarelli5, Francesco Costa5, Federico Zanzi2,5, Marco Astegiano6, Davide Giuseppe Ribaldone4, Antonio D'Avolio1.
Abstract
Adalimumab (ADA) is a human anti-tumor necrosis factor (TNF-α) monoclonal antibody used in inflammatory bowel diseases, such as Crohn's disease (CD). Vitamin-D (VD) is important for biological functions, such as the modulation of expression of genes encoding enzymes and transporters involved in drug metabolism and transport. ADA trough levels were associated with VD concentrations in patients with IBD, but no data are present in the literature concerning VD pathway-related gene single-nucleotide polymorphisms (SNPs) in affecting clinical outcomes. For this reason, the aim of this study was to evaluate the ability of VD-related genetics to predict clinical remission at 3 and 12 months in patients affected by CD treated with ADA. Patients affected by CD were included in this study. SNPs in CYP27B1, CYP24A1, GC, and VDR genes were analyzed through real-time PCR. A total of 63 patients were enrolled. Calprotectin, hemoglobin, and C-reactive protein levels were influenced by SNPs in VDR, CYP27B1, and GC genes. After 3 months of therapy, clinical remission was predicted by smoke, systemic steroids, and VDR BsmI, whereas at 12 months by GC 1296AA/AC and VD supplementation. This study reports the association between VD pathway-related genetics and ADA treatment. Further studies are needed to confirm these promising data.Entities:
Keywords: CYP27B1; GC; SNPs; VDR; personalized medicine
Year: 2021 PMID: 34959633 PMCID: PMC8706953 DOI: 10.3390/ph14121230
Source DB: PubMed Journal: Pharmaceuticals (Basel) ISSN: 1424-8247
Characteristics of patients. Categorical variables were described as numbers and frequencies, and linear ones as median and interquartile range (IQR).
| Characteristics | Values |
|---|---|
| Number of patients | 63 |
| Age (year), median [IQR] | 42 [32;55] |
| Male sex, n (%) | 36 (57.1) |
| Perianal Disease, | 10 (15.9) |
| Smoke (0 = no, 1 = smoker, 2 = ex), | 31 (49.2) |
| 11 (17.5) | |
| 21 (33) | |
| Alcohol, n (%) | 2 (3.2) |
| Intestinal localization, | L1 24 (38.1) |
| L2 9 (14.3) | |
| L3 29 (46) | |
| L4 1 (1.6) | |
| Surgery, n (%) | 39 (61.9) |
| Comorbidities, n (%) | 23 (36.5) |
| VD Supplementation, n (%) | 31 (49.2) |
| Weight, median [IQR] | 61 [57.5–70.5] |
| Height, median [IQR] | 170 [164–174.5] |
| Years of disease, median [IQR] | 13 [6.5–18.5] |
| Hb t0, median [IQR] | 13.9 [12.58–14.56] |
| Calprotectin t0, median [IQR] | 322.5 [130.5–657.5] |
| CRP > 1 t0, n (%) | 34 (54.1) |
| Clinical response 3 months, | 46 (73) |
| Clinical response 12 months, | 40 (63.5) |
| Remission 3 months, | 37 (58.7) |
| Remission 12 months, | 36 (57.1) |
Median levels of calprotectin and hemoglobin according to vitamin D-related gene polymorphisms at the three different time points.
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| 301 | 1082 | 1064 | 503 | 798 | 298 | 115 | 330 | 405 | 170 | ||
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| 49 | 1001 | 359 | 49 | 224 | 42 | ||||||
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| 41 (15–237) | 1585 (683–/) | ||||||||||
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| 13.90 | 10.70 | 13.50 (12.48–14.43) | 14.9 (13.50–15.80) | ||||||||
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| 14.15 | 11.70 | 13.65 (12.33–14.88) | 14.9 (13.65–15.90) | ||||||||
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| 14.30 | 11.20 | 13.70 | 14.50 |
Figure 1Calprotectin levels according to CYP27B1-1260G>T SNP at baseline (A, p = 0.018), three (B, p = 0.015), and twelve (C, p = 0.018) months of therapy. p-values are obtained through Mann–Whitney test. * Circles and stars indicate “out” values (small circle) and “far out” values (star).
Figure 2Hemoglobin levels according to CYP27B1-1260G>T SNP at baseline (A, BL, p = 0.023), three (B, p = 0.011), and twelve (C, p = 0.047) months of therapy. p-values are obtained through Mann–Whitney test.
Logistic regression analysis at three months of therapy. NSC: Not statistically comparable, as one group is missing; OR: Odds ratio, 95% IC: Interval of confidence at 95%.
| Remission after 3 Months of Therapy | ||||
|---|---|---|---|---|
| Univariate | Multivariate | |||
| OR (95% IC) | OR (95% IC) | |||
| Age [≥50] | 0.621 | 0.768 (0.269–2.190) | ||
| Sex | 0.941 | 0.963 (0.349–2.653) | ||
| Weight [≥70 Kg] | 0.889 | 1.08 (0.367–3.182) | ||
| Smoke | 0.023 | 0.506 (0.281–0.909) | 0.035 | 0.480 (0.243–0.948) |
| Alcohol | NSC | |||
| Years of disease >10 | 0.367 | 0.605 (0.203–1.804) | ||
| Perianal Disease | 0.543 | 0.656 (0.169–2.547) | ||
| Surgery | 0.634 | 0.776 (0.274–2.199) | ||
| Systemic steroids | 0.002 | 0.103 (0.025–0.422) | 0.001 | 0.081 (0.018–0.366) |
| Mesar | 0.808 | 0.871 (0.285–2.661) | ||
| Topical steroids | 0.386 | 0.438 (0.068–2.828) | ||
| Immunosuppression | 0.213 | 2.464 (0.597–10.178) | ||
| Ab | 0.434 | 1.789 (0.416–7.684) | ||
| VD Supplementation | 0.685 | 1.231 (0.415–3.364) | ||
| NSC | NSC | |||
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| 0.049 | 3.229 (0.994–10.491) | ||
Logistic regression analysis at twelve months of therapy. NSC: Not statistically comparable, as one group is missing; OR: Odds ratio, 95% IC: Interval of confidence at 95%.
| Remission after 12 Months of Therapy | ||||
|---|---|---|---|---|
| Univariate | Multivariate | |||
| OR (95% IC) | OR (95% IC) | |||
| Age [>50] | 0.03 | 0.267 (0.081–0.883) | ||
| Sex | 0.248 | 1.964 (0.624–6.179) | ||
| Weight [>70 Kg] | 0.836 | 0.880 (0.263–2.950) | ||
| Smoke | 0.279 | 0.702 (0.370–1.332) | ||
| Alcohol | NSC | |||
| >10 aa mal | 0.017 | 0.140 (0.028–0.698) | ||
| Mal xian | 0.072 | 0.236 (0.049–1.135) | ||
| Surgery | 0.691 | 0.786 (0.240–2.575) | ||
| Systemic steroids | 0.621 | 0.700 (0.170–2.882) | ||
| Mesar | 0.521 | 0.649 (0.174–2.426) | ||
| Topical steroids | 0.104 | 0.143 (0.014–1.487) | ||
| Immunosuppression | 0.331 | 2.286 (0.432–12.103) | ||
| Ab | 0.444 | 1.931 (0.358–10.422) | ||
| VD Supplementation | 0.004 | 0.143 (0.039–0.529) | 0.006 | 0.050 (0.006–0.428) |
| CYP24A1 22776 TT | NSC | |||
| VDR ApaI CA/AA | NSC | |||
| VDR BsmI AA | NSC | |||
| GC 1296 CA/AA | 0.001 | 10 (2.479–40.331) | 0.003 | 29.285 (3.160–271.367) |
Figure 3Clinical remissions according to genetic variants (VDR BsmI G>A in (A), GC 1296 A>C in (B)) that remained in the final regression models.