| Literature DB >> 35600579 |
Carol-Ann Fortin1, Lysanne Girard1, Chloé Bonenfant1, Josianne Leblanc2, Tania Cruz-Marino2, Marie-Eve Blackburn3, Mathieu Desmeules4,5, Luigi Bouchard1,2.
Abstract
Background: Vitamin D-dependant rickets type 1A (VDDR1A) is a rare autosomal recessive disorder caused by pathogenic variants in the CYP27B1 gene. This gene is essential for vitamin D activation. Although VDDR1A is a rare condition worldwide, its prevalence is high in the Saguenay-Lac-Saint-Jean (SLSJ) region due to a founder effect. Daily intake of calcitriol before the onset of clinical manifestations can prevent them in affected children.Entities:
Keywords: CYP27B1; Saguenay-Lac-Saint-Jean; VDDR1A; calcitriol; newborn screening; vitamin D
Mesh:
Substances:
Year: 2022 PMID: 35600579 PMCID: PMC9120640 DOI: 10.3389/fendo.2022.887371
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 6.055
Assay validation for the newborn diagnosis of VDDR1A by searching for the pathogenic variant c.262del.
| ID | Results ÉPIMET | Results certified clinical laboratories |
|---|---|---|
| 1 | wt/wt | wt/wt |
| 2 | wt/wt | wt/wt |
| 3 | wt/wt | wt/wt |
| 4 | wt/wt | wt/wt |
| 5 | wt/wt | wt/wt |
| 6 | wt/wt | wt/wt |
| 7 | wt/wt | wt/wt |
| 8 | wt/c.262del | wt/c.262del |
| 9 | wt/c.262del | wt/c.262del |
| 10 | c.262del/c.262del | c.262del/c.262del |
| 11 | c.262del/c.262del | c.262del/c.262del |
| 12 | c.262del/c.262del | c.262del/c.262del |
The results of genotyping performed in the ÉPIMET laboratory at the Chicoutimi Hospital are in agreement with the results of genotyping performed in the certified clinical laboratories.
Figure 1Flowchart of newborn screening for VDDR1A.
Characteristics of the participants that completed the survey on VDDR1A newborn screening acceptability.
| Characteristics n=336 | n (%) |
|---|---|
|
| |
| Less than 18 years | 1 (0.3%) |
| 18 - 25 years | 62 (18.5%) |
| 26 - 30 years | 111 (33.0%) |
| 31-35 years | 108 (32.1%) |
| 36-40 years | 44 (13.1%) |
| 41-45 years | 9 (2.7%) |
| More than 45 years | 1 (0.3%) |
|
| |
| Male | 80 (23.8%) |
| Female | 216 (64.3%) |
| Other | 40 (11.9%) |
|
| |
| High school not completed | 40 (11.9%) |
| High school completed | 82 (24.4%) |
| College completed | 93 (27.7%) |
| University completed | 121 (36.0%) |
|
| |
|
| |
| Yes | 279 (83.0%) |
| No | 53 (15.8%) |
| Don’t know | 4 (1.2%) |
|
| |
| Yes | 269 (80.1%) |
| No | 10 (3.0%) |
| Don’t know | 5 (1.5%) |
Distribution of the answer provided on the acceptability survey.
| Answers (n=336) | n (%) |
|---|---|
|
| |
| Essential | 107 (31.8%) |
| Useful | 208 (61.9%) |
| Of little use | 8 (2.4%) |
| Useless | 3 (0.9%) |
| Don’t know | 9 (2.7%) |
|
| |
| Certainly | 247 (73.5%) |
| Probably | 76 (22.6%) |
| Probably not | 3 (0.9%) |
| Certainly not | 1 (0.3%) |
| Don’t know | 8 (2.4%) |
|
| |
| Totally agree | 277 (82.4%) |
| Rather agree | 49 (14.6%) |
| Little agree | 3 (0.9%) |
| Not agree at all | 0 (0.0%) |
| Don’t know | 7 (2.1%) |
Characteristics of VDDR1A affected individuals for which medical records were reviewed.
| Clinical data (n=15) | n | Mean ± SD | Range |
|---|---|---|---|
|
| |||
| Weight (g) | 14 | 3310.9 ± 382.6 | 2555.0 – 3825.0 |
| Length (cm) | 14 | 49.2 ± 2.3 | 45.0 – 52.0 |
| Weight for age (percentile) | 14 | 51.3 ± 25.7 | 4.0 – 86.9 |
| Length for age (percentile) | 14 | 47.0 ± 32.0 | 1.3 – 86.9 |
| Sex | |||
| Female | 7 | 7 (47%) | |
| Male | 8 | 8 (53%) | |
|
| |||
| Age (months) | 15 | 13.8 ± 5.0 | 4.0 – 20.0 |
| Weight (kg) | 14 | 8.5 ± 1.3 | 5.6 – 10.3 |
| Length (cm) | 13 | 68.4 ± 7.2 | 55.0 – 76.0 |
| Weight for age(percentile) | 14 | 28.3 ± 32.4 | 0 – 96.1 |
| Length for age(percentile) | 13 | 10.4 ± 22.3 | 0 – 70.0 |
SD, Standard deviation.
Figure 2Length and weight of affected boys and girls at diagnosis compared to reference values (A) Length of boys (n=8), (B) Length of girls (n = 5), (C) Weight of boys (n = 7), (D) Weight of girls (n = 6). The reference values for weight and length in percentile were based on the World Health Organisation charts (2021).
Clinical manifestations and medical history at diagnosis.
| Participant | Age at diagnosis (months) | Pediatric investigation | Investigation in the emergency room | Failure to thrive | Developmental delay | Hospitalization | Multiple fractures | Seizures | Newborn genetic diagnosis | Family history of VDDR1A |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0.4 | √ | 1st degree | |||||||
| 2 | 4 | √ | 2nd degree | |||||||
| 3 | 6 | √ | 1st degree | |||||||
| 4 | 7 | √ | √ | None | ||||||
| 5 | 12 | √ | None | |||||||
| 6 | 12 | √ | None | |||||||
| 7 | 12 | √ | √ | √ | √ | None | ||||
| 8 | 13 | √ | √ | None | ||||||
| 9 | 14 | √ | √ | 4th degree | ||||||
| 10 | 17 | √ | √ | √ | None | |||||
| 11 | 17 | √ | √ | √ | None | |||||
| 12 | 17 | √ | √ | √ | √ | 4th degree | ||||
| 13 | 18 | √ | √ | 4th degree | ||||||
| 14 | 18 | √ | √ | None | ||||||
| 15 | 20 | √ | √ | √ | None | |||||
| 16 | 20 | √ | √ | √ | √ | √ | None | |||
| Total | 8 | 7 | 3 | 8 | 7 | 2 | 1 | 1 |
Metabolic bone blood profile of affected individuals at the time of late and early diagnosis.
| n | Late diagnosis | Early diagnosis (n=1) | Reference values | ||
|---|---|---|---|---|---|
| Age (months) | 15 | 13.8 ± 5 | 1 | 14 | |
| PTH (pmol/L) | 12 | 64.4 ± 25.2 | 8.3 | 3.7 | 1.30-9.30 |
| Total calcium (mmol/L) | 14 | 1.7 ± 0.2 | 2.64 | 2.61 | 2.22-2.70 |
| Measured ionized calcium (mmol/L) | 15 | 0.9 ± 0.1 | NA | 1.4 | 1.15-1.35 |
| ALP (U/L) | 15 | 2215.9 ± 1052.4 | 346 | 333 | 40-160 |
| Inorganic phosphorus (mmol/L) | 15 | 1.1 ± 0.2 | 2.31 | 1.86 | 1.45-2.10 |
| Vitamin D 25(OH) (nmol/L) | 11 | 104.8 ± 35.0 | 197.6 | 101.2 | 75-250 |
| Vitamin D 1-25 (OH)2 (pmol/L) | 11 | 4.6 ± 2.6 | NA | NA | 78-125 |
For the child with an early diagnosis, the metabolic bone profile was also collected at 14 months and compared with that of affected children with a delayed diagnosis, to assess how early diagnosis and treatment initiation could impact the health profile.
SD, Standard deviation; ALP, Alkaline phosphatase; PTH, Parathyroid hormone.
Figure 3Decreased in length percentile from birth to diagnosis in affected individuals. Each point represents a length measure in percentile taken at a different age. The first dot (far left) represents the length at birth and the second dot represents the length at the age of diagnosis. The two dots of each individual are connected by a line.
Figure 4Decreased in weight percentile from birth to diagnosis in affected individuals. Each point represents a weight measure in percentile taken at a different age. The first dot (far left) represents the weight at birth and the second dot represents the weight at the age of diagnosis. The two dots of each individual are connected by a line.