Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Addendum
Announcement
Announcements
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Books Received
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Corrrespondence
Critique
Current Issue
Editorial
Editorial Podcast
Errata
Erratum
FORM IV
GUIDELINES
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Panel of Reviewers (2006)
Panel of Reviewers (2007)
Panel of Reviewers (2009) Guidelines for Contributors
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Method
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Authors’ response
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Public Notice
Research Brief
Research Correspondence
Retraction
Review Article
Reviewers
Short Paper
Some Forthcoming Scientific Events
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
View Point
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Original Article
162 (
2
); 237-245
doi:
10.25259/IJMR_782_2024

Clinical, biochemical & molecular spectrum of adrenoleukodystrophy: A single centre experience

Pediatrics Genetics & Research Laboratory, Department of Pediatrics, Maulana Azad Medical College & Lok Nayak Hospital, New Delhi, India
Department of Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
Department of Biomedical Sciences, Acharya Narendra Dev College, New Delhi, India
Department of Zoology, Kirori Mal College, University of Delhi, New Delhi, India
Department of Pathology, G B Pant Institute of Postgraduate Medical Education and Research, New Delhi, India
Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
Centre for Computational Biology and Bioinformatics Sciences, School of Life Sciences, Central University of Himachal Pradesh, Dharamshala, Himachal Pradesh, India
Department of Biotechnology, Amrita School of Biotechnology, Amrita University, Amritapuri, Kerala, India

Present address: Department of Pediatrics, School of Medical Sciences & Research, Sharda University, Greater Noida, Uttar Pradesh, India

#Department of Medical Genetics, Maulana Azad Medical College & Lok Nayak Hospital, New Delhi, India

For correspondence: Dr Meenakshi Bothra, Department of Paediatrics, School of Medical Sciences & Research, Sharda University, Greater Noida 201 310, Uttar Pradesh, India e-mail: meenakshibothra@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Abstract

Background & objectives

Adrenoleukodystrophy (ALD), caused by a mutation in the ABCD1 gene has a heterogenous clinical spectrum. Very long chain fatty acid (VLCFA) levels, neuroimaging findings and genetic analysis play a role in the final diagnosis. This paper presents a single centre experience on clinical, biochemical and molecular characteristics of ALD.

Methods

In this cross-sectional study, 35 individuals with ALD were included. Apart from their clinical characterisation, evaluation of their VLCFA levels was done. VLCFA levels and their ratios were also analysed in 383 healthy controls, and ROC curves were prepared to identify suitable cut-offs for the Indian population. Molecular characterisation by ABCD1 gene sequencing was also done. Molecular modelling techniques were used to ascertain the structural effect of mutations in those carrying novel variants in the ABCD1 gene.

Results

Adolescent ALD (13/35, 37.1%) was the most common subtype identified in our study, and muscle weakness (19/29, 65.5%) was the most common clinical feature. At cut-offs of 0.907 and 0.604 (µmol/3.2mm punch), C24:0 and C26:0 LPCs, respectively, were found to have a sensitivity and specificity of 100 per cent each for the identification of ALD. Sequencing of ABCD1 gene revealed that the mutations were most commonly seen in exon 1. Out of the four novel variations in ABCD1 gene identified in our study, a three-dimensional visualisation of the ABCD-1 gene revealed that three of them resulted in significant alterations in the protein structure, while no changes at the protein level was reported for the g.11476 [G>A] mutation.

Interpretation & conclusions

This study highlights the importance of considering the ratios of VLCFAs, along with the individual values, for establishing ALD diagnosis. We also identified a mutational hotspot in exon 1 of the ABCD1 gene, which may also help strategize the preliminary screening of the ABCD1 gene.

Keywords

ABCD1 gene
adrenoleukodystrophy
adrenomyeloneuropathy
C26:0 LPC
VLCFA

Adrenoleukodystrophy (ALD) is the most common peroxisomal disorder caused by a mutation in the ABCD1 gene on the X chromosome. It affects mainly males, with an estimated frequency of 1 in 21,000 male patients1. However, a higher birth incidence of 1 in 4,845 among all infants and 1 in 3,878 among male babies has been found in Minnesota, where newborns are screened for X-linked ALD (X-ALD)2. The ABCD1 gene is located on chromosome Xq28 and encodes a protein (ALDP) that consists of 745 amino acids. ALDP is a member of the ATP-binding cassette (ABC) transmembrane transporter superfamily of prokaryotic and eukaryotic proteins3. More than 1000 mutations have been identified in the ABCD1 gene to date4. However, no genotype-phenotype correlation between the type of mutation and the clinical phenotype of ALD has been observed5.

Very long-chain fatty acid (VLCFA) oxidation mainly occurs in peroxisomes; thus, VLCFA content is often used as a screening marker for peroxisomal disorders like ALD. However, a diagnosis relying solely on VLCFA measurements may fail to detect some patients. This is because some patients may have defects in the biosynthesis of single peroxisomal enzymes rather than in peroxisomal biogenesis. Analysis of plasmalogens can help to distinguish between these two groups of peroxisomal disorders6. C26:0 lysophosphatidylcholine (LPC), together with C24:0 LPC, C22:0 LPC, and C20:0 LPC, constitute the group of VLCFAs. Measurement of C26:0 LPC not only helps in discriminating between the two groups of peroxisomal disorders but is also widely used as a biomarker for screening for ALD screening in newborns using dried blood spots (DBSs)7. Males (hemizygotes) are more commonly and severely affected by X-linked ALD, although manifestations have been reported in females. Neurologic impairments in females (heterozygotes) have been found to be related to age and to the extent of CNS involvement8. ALD can have varying presentations, but it can be clinically classified into five relatively distinct phenotypes: the childhood cerebral form of ALD (ccALD), adolescent ALD, adrenomyeloneuropathy (AMN), the Addison-only phenotype of ALD, and asymptomatic ALD. Addison-only phenotype of ALD may present solely with a crisis characterised by hypotension, hypoglycaemia, and altered mental status, but these patients are usually devoid of any neurological manifestations9. Timely diagnosis of patients helps in initiating cascade screening, to identify other at-risk and/or affected family members, and providing appropriate genetic counselling. There is a paucity of comprehensive clinical, biochemical, radiological, and mutational spectrum data on ALD in India. We present our experience with ALD and present its spectrum as observed at our center.

Materials & Methods

This was a cross-sectional study conducted between February 2014 and May 2020 at the Pediatrics Genetics & Research Laboratory, department of Pediatrics, Maulana Azad Medical College and associated Lok Nayak Hospital, a tertiary care hospital in North India, after obtaining clearance from the Institutional Ethical Committee. After obtaining informed consent, the authors enrolled children, adolescents, and adults with clinical and/or radiological evidence of ALD, as well as individuals carrying pathogenic variations in the ABCD1 gene identified by screening first-degree relatives of individuals with ALD. The study participants were further subclassified into five clinical subtypes of ALD based on their clinico-radiological phenotype. Healthy controls were also recruited for VLCFA level estimation after obtaining informed consent, as normative data for VLCFAs are scarcely available in the Indian population. The control population comprised of age and sex-matched healthy individuals selected from paediatric and medicine clinics, general health check-up camps in colleges, and workplace wellness programmes. Participants with no history of neurological or metabolic disorders or a family history of ALD were included after obtaining informed consent from participants (adults) or their parents/ guardians (children) for the same.

Study methodology

Detailed clinical examination, including neurological assessment, was performed for the entire cohort of recruited subjects. All relevant clinical features, including developmental delay, regression of milestones, seizures, headache, visual loss, hearing deficit, dysarthria, muscle weakness, bowel and/or bladder dysfunction, and adrenal insufficiency, were recorded. Magnetic resonance imaging (MRI) of the brain and a radiological scoring proposed by Loes et al8 were employed to assess the severity of neurologic involvement. DBS were used to measure the VLCFA metabolites (C20:0, C22:0, C24:0, C26:0, and C26:0 LPC) using liquid chromatography-tandem mass spectrometry (LC-MS/MS) on a 3200MD QTRAP platform (Sciex, USA). In addition to DBS, 3 mL of blood was collected from patients and healthy controls at enrolment for ABCD1 gene sequencing. Considering the pseudogenic nature of the ABCD1 gene due to the presence of paralogues on four autosomes, care was taken while performing ABCD1 gene sequencing. PCR was performed in an ABI system thermocycler with initial denaturation at 95°C for 3 min, followed by 35 cycles of PCR with final denaturation at 95°C for 30 sec, annealing at 62°C for 30 sec, and extension at 72°C for 45 sec, with an additional step of final extension at 72°C for 10 min. Complete ABCD1 gene sequencing was obtained by amplifying 10 amplicons, which were further subjected to bidirectional sequencing using the Cycle sequencing kit BigDye Terminator v.3 (Applied Biosystems, Foster City, CA, USA). In addition to the 10 exons, the intervening sequences, splice sites, and introns of interest were also sequenced. Nonsynonymous novel variants were analysed using multiple algorithms such as PolyPhen-2 (polymorphism phenotyping) and SIFT (sorting intolerant from tolerant).

The novel ABCD1 variants detected within the cohort were analysed through molecular modelling techniques to ascertain the structural effect of the mutations. Mutations were incorporated at the sequence level, and 3D structures of the mutants were obtained from Modeller 10.4 (https://salilab.org/modeller/10.4/release.html), where models with the best discrete optimised protein energy (DOPE) score were subjected to comparative analysis. The crystal structure of ABCD1 (PDB:7RR9) from Homo sapiens was selected as a template based on 100 per cent sequence identity. In addition to comparative modelling via Modeller, the deep neural network-based template method proposed by TopModel was also employed in the present study10. The generated models from both approaches were further validated using a Ramachandran plot, where the best model based on the percent residues in the allowed region was chosen for comparative analysis. To predict the impact of mutations on protein conformation, flexibility, and stability. Dynamic cross-correlation map (DCCM) analysis was carried out using Dynamut11.

Statistical analysis

Ratios of C24/C20, C24/C22, C26/C20, and C26/C22 were calculated to add specificity to the biochemical screening of ALD. Receiver operating characteristics (ROC) curves were constructed to identify valid cut-offs for distinguishing affected individuals from healthy controls. Segregation for the biochemical parameters was performed for cases and controls and further for different age groups. The two-sample Wilcoxon rank sum test, Mann-Whitney test, and Kruskal-Wallis test were applied to assess the statistical significance of the mean/median values in the patients and controls. The distribution of various metabolites between the patient and control groups was estimated by Fisher’s exact test. P value < 0.05 was considered to indicate statistical significance. ROC curves were drawn and analysed to determine the optimal cut-off values for the various VLCFA metabolites and their ratios for diagnosing this subgroup of patients. All the statistical tests were performed using STATA version 10.0 (StataCorp LLC, USA).

Results

A total of 35 study participants with suspected ALD were screened for eligibility using a combination of clinical features, neuroimaging findings, and biochemical parameters. Of these, 29 study participants with clinical and/or radiological evidence of ALD were included in this study. Loes scoring was done based on neuroimaging findings8. In addition, six asymptomatic individuals who were identified by screening of first-degree relatives of individuals with ALD were also enrolled. The majority (65.7%) of the enrolled subjects presented at an age below 18 yr. However, three of the asymptomatic individuals were less than 10 yr old, one was between 18-25 yr, and two of them were more than 25 yr old at the time of enrolment. Among this entire male cohort, most of the study participants were found to have adolescent ALD (13/35, 37.1%) or adrenomyeloneuropathy (AMN; 9/35, 25.7%). There were six study participants with childhood cerebral ALD, and one study participant with Addison type ALD. Of these 35 study participants, four with the AMN phenotype and three with the ALD phenotype were born out of a consanguineous mating. Four of the patients included had a history of similar illnesses in one or more family members. Gonadal mosaicism may explain cases in which mothers were not obligate carriers9.

Clinical presentation is shown in table I reveals muscle weakness and vision loss as the most common features; in addition, dysarthria, cataracts, adrenal insufficiency, and facial abnormalities were present in one study participant each.

Table I. Clinical spectrum of enrolled study participants with ALD (n=29)
Clinical features Number of study participants, n (%)
Muscle weakness 19 (65.5)
Vision loss 15 (51.7)
Gait 11 (37.9)
Regression of milestones 11 (37.9)
Headache 10 (34.5)
Hearing loss 8 (27.6)
Behavioural issues 6 (20.7)
Bowel dysfunction 5 (17.2)
Loss of speech 5 (17.2)
Seizures 4 (13.8)
Squint 4 (13.8)
Loss of bladder control 4 (13.8)
Pigmented skin 3 (10.3)
Nystagmus 2 (6.9)
Hair Loss 2 (6.9)
Memory loss 2 (6.9)

A total of 35 patients and 383 healthy controls were studied for the evaluation of reference ranges for VLCFAs. The levels of all the VLCFA metabolites (C20:0, C22:0, C24:0, and C26:0 LPC) and their ratios were significantly greater among the patients as compared to the controls as shown in table II. However, no significant difference was detected in any of the VLCFA analytes except for the C24:0/C20:0 ratio among symptomatic and asymptomatic study participants. The VLCFA levels of individuals with various subtypes of ALD are presented in table III.

Table II. Levels of VLCFA metabolites in asymptomatic vs. symptomatic cases and cases vs. control
VLCFA metabolites Symptomatic (n=29) Asymptomatic (n=6) P value

Cases

(n=35)

Controls

(n=383)

P value$
C20:0 LPC* 1.11±0.63 1.14±1.03 0.588 1.12±0.7 0.54±0.11 <0.001
C22:0 LPC* 1.04±0.67 1.55±1.45 0.524 1.14±0.86 0.55±0.1 <0.001
C24:0 LPC* 3.85±2.16 6.11±3.42 0.119 4.28±2.54 0.27±0.11 <0.001
C26:0 LPC* 2.20±1.28 2.64±1.55 0.556 2.28±1.32 0.16±0.08 <0.001
C24:0/C22:0 ratio 4.33±2.38 5.06±3.08 0.612 4.47±2.49 0.5±0.23 <0.001
C26:0/C22:0 ratio 2.80±2.29 2.37±1.42 0.735 2.72±2.14 0.29±0.17 <0.001
C24:0/C20:0 ratio 4.16±2.96 7.66±3.88 0.019$ 4.82±3.38 0.56±0.47 <0.001
C26:0/C20:0 ratio 2.30±1.04 4.17±4.43 0.244 2.65±2.14 0.32±0.31 <0.001
The units of C20:0 LPC, C22:0 LPC, C24:0 LPC, C26:0 LPC are µmol/L. $Mann-Whitney U test
Table III. VLCFA levels as per the ALD phenotype
ALD Phenotype C20:0 LysoPC C22:0 LysoPC C24:0 LysoPC C26:0 LysoPC
childhood cerebral ALD (n=6) 0.878±0.562 0.951±0.349 4.240±2.14 2.719±1.209
Adolscence ALD (n=13) 1.565±1.09 0.957 ±0.823 3.962±3.052 1.604±0.812
Adrenomyeloneuropathy (n=9) 1.410±0.989 1.322±0.966 4.580±2.68 1.410±0.989
Addison ALD (n=1) 0.643 0.466 1.285 1.382
Non symptomatic (n=6) 1.140±1.031 1.55±1.45 6.11±3.42 2.64±1.58

The diagnostic performance of C24:0 LPC and C26:0 LPC was evaluated using receiver operating characteristic (ROC) curves (Fig. 1). At cut-off values of 0.907 and 0.604 (µmol/L) C24:0 LPC and C26:0 LPC, respectively, were found to have a sensitivity and specificity of 100 per cent each, for the identification of ALD, as depicted in table IV.

ROC curve for cut-off values of very long chain fatty acids for the identification of ALD. (A) At cut-off values of 0.69, C20:0 LPC was found to have a sensitivity of 66 per cent and specificity of 98 per cent. (B) At cut-off value of 0.8, C22:0 LPC was found to have a sensitivity of 66 per cent and specificity of 100 per cent. (C) At cut-off values of 0.907 C24:0 LPC was found to have a sensitivity and specificity of 100 per cent each. (D) At cut-off values of 0.604 (µmol/L) C26:0 LPC was found to have a sensitivity and specificity of 100 per cent.
Fig. 1.
ROC curve for cut-off values of very long chain fatty acids for the identification of ALD. (A) At cut-off values of 0.69, C20:0 LPC was found to have a sensitivity of 66 per cent and specificity of 98 per cent. (B) At cut-off value of 0.8, C22:0 LPC was found to have a sensitivity of 66 per cent and specificity of 100 per cent. (C) At cut-off values of 0.907 C24:0 LPC was found to have a sensitivity and specificity of 100 per cent each. (D) At cut-off values of 0.604 (µmol/L) C26:0 LPC was found to have a sensitivity and specificity of 100 per cent.
Table IV. Performance of VLCFA metabolites as diagnostics utility markers for ALD
Variable

Sensitivity

(%)

Specificity

(%)

Positive predictive value (%) Negative predictive value (%) Diagnostic accuracy (%)
C20:0 LPC* 57.1 (34-78) 97.7 (96-99) 60 (36-81) 97.4 (95-99) 95.4 (93-97)
C22:0 LPC* 66.7 (43-85) 91.2 (88-94) 31.1 (18-47) 97.9 (96-99) 89.8 (86-93)
C24:0 LPC* 100 (84-100) 100 (99-100) 100 (84-100) 100 (99-100) 100 (99-100)
C26:0 LPC* 100 (84-100) 100 (99-100) 100 (84-100) 100 (99-100) 100 (99-100)
C24:0/C22:0 ratio 95.2 (76-100) 98.6 (97-100) 80 (59-93) 99.7 (98-100) 98.4 (96-99)
C26:0/C22:0 ratio 100 (84-100) 99.1 (98-100) 87.5 (68-97) 100 (99-100) 99.2 (98-100)
C24:0/C20:0 ratio 100 (84-100) 96.3 (94-98) 61.8 (44-78) 100 (99-100) 96.5 (94-98)
C26:0/C20:0 ratio 95.2 (76-100) 98.9 (97-100) 83.3 (63-95) 99.7 (98-100) 98.7 (97-100)
The units of C20:0 LPC, C22:0 LPC, C24:0 LPC, C26:0 LPC are µmol/L

Magnetic resonance imaging (MRI) of the brain was performed for 22 of the recruited subjects (19 symptomatic individuals and 3 asymptomatic siblings). All symptomatic individuals had a typical MRI picture of X-ALD, in the form of hyper intensities involving the parieto-occipital areas and the splenium of the corpus callosum. Other common areas of involvement were the visual pathway in 89.5 per cent (17 of 22) and the auditory pathway in 63 per cent (12 of 22). Global atrophy was observed in 10 out of 22 study participants (52.6%), who also had disease onset in early childhood, indicating higher severity of illness. A majority of study participants had a mean Loes score between 5 and 10, but the mean Loes score of symptomatic individuals was 13.7 (minimum score: 5, maximum score: 30). An abnormality involving the splenium of the corpus callosum was significantly more common in symptomatic patients than in asymptomatic study subjects with ALD (P< 0.05). All the asymptomatic individuals had a Loes score ≤ 2.

Sequencing of the ABCD1 gene revealed that the most common mutations involved exon 1, as shown in supplementary table. We identified 4 novel variants in the ABCD1 gene in our cohort. Figure 2 shows the electropherogram of one of the novel variants identified in this study. While several mutations were observed throughout the genomic region of the ABCD1 gene, we further elucidated the novel mutations identified within our cohort. To assess the impact of these novel mutations on the protein structure, a three-dimensional visualisation of the ABCD1 gene (PDB id: 7RR9) was conducted. Of the four novel mutations, three resulted in alterations in the protein structure, while no changes at the protein level were reported for the g.11476 [G>A] mutation. All the mutations were modelled using the approaches elucidated in methodology. As depicted by multiple sequence alignment in supplementary figure 1, the mutants exhibit a significant degree of sequence similarity with the wild-type ABCD1 gene sequence (Uniprot ID: P33897). However, structural comparison revealed a significant degree of variability, resulting in the emergence of a different structure of the mutants. The protein structural models, herein described for c.904 [G>T]; p.E302*, as shown in supplementary figure 2, signify that the translation process is prematurely halted at position 302, leading to the production of a truncated protein when G-to-T replacement occurs at the 904 position in the gene DNA sequence. The generated model revealed 89.6 per cent residues in the most favoured region, suggesting its high quality. Since proteins are not static, their residues are in continuous motion inside the system. Therefore, a dynamic cross-correlation study was employed to analyse and visualise the dynamic motions and correlations between atoms or residues among the protein structures caused by mutations. The correlated fluctuations in the wild type and mutant systems have been graphically presented in supplementary figures 3. Positive correlations are mapped in the upper left triangle, while negative correlations are mapped in the lower right triangle. A deeper colour indicates positively or negatively correlated motions between the structural patterns. As shown in supplementary figures 2 and 3, it can be easily seen that the identified novel variants tend to affect protein flexibility, and major structural regions affected by the mutation are highlighted in both instances.

Electropherogram of a novel mutation c.493_494 [ins CAC]; p.165Pro; identified in a study participant with adrenomyeloneuropathy. The insertion of 3 nucleotides CAC results in generation of one extra protein i.e., Proline.
Fig. 2.
Electropherogram of a novel mutation c.493_494 [ins CAC]; p.165Pro; identified in a study participant with adrenomyeloneuropathy. The insertion of 3 nucleotides CAC results in generation of one extra protein i.e., Proline.

Supplementary table

Supplementary Figure 1

Supplementary Figure 2

Supplementary Figure 3

Discussion

The present study enrolled individuals with ALD subtypes, with adolescent ALD (13/35, 37.1%) and AMN (9/35, 28.1%) being the most common. This finding is consistent with published literature showing that ALDs can present with a wide range of phenotypes, from slowly progressive myelopathy to rapid demyelination of the brain white matter12. A study from southern India revealed the childhood cerebral form of ALD to be the most common phenotype, followed by the adolescent cerebral form, with 37.9 per cent of the symptomatic patients between 10-18 yr of age5. According to a retrospective evaluation of patients with ALD from Turkey, the mean age at diagnosis was 10.5 yr. Eight out of 12 study participants had the childhood cerebral ALD subtype, two of them had the cerebral form of AMN, and one patient each presented with the adult form of cerebral ALD, and the Addison-only phenotype13.

According to the analysis of VLCFA levels, the positive predictive values ranged from 72.4 per cent to 100 per cent, specificity from 97.7 per cent to 100 per cent, sensitivity from 65.6 per cent (C20:0) to 100 per cent (C26:0LPC), with a diagnostic accuracy of 95 per cent for C20:0, 97.1 per cent for C22:0, and 100 per cent for C24:0/C26:0. The cut-off values for C24:0 LPC, C26:0 LPC, the C26:0/C22:0 ratio, and the C26:0/C20:0 ratio, which yielded the best sensitivity and specificity in the study population, were 0.907 µmol/3.2mm punch, 0.604 µmol/3.2mm punch, 1, and 1.108, respectively, as obtained by ROC analysis. According to a study by Natarajan et al5, the median concentrations of C24:0 and C26:0-LPCs were 7- and 18-fold greater, respectively, in ALD patients (0.56[0.20–1.48] μmol/L and 0.55[0.14–1.34] μmol/L) than in healthy controls (0.08[0.03–0.16] μmol/L and 0.03[0.01–0.05] μmol/L). The reference intervals of C22:0, C24:0, and C26:0 were found to be 32.0-73.4 μmol/L, 30.3-72.0 μmol/L, and 0.20-0.71 μmol/L, respectively. Additionally, the C24:0/C22:0 and C26:0/C22:0 ratios were 0.75-1.28 and 0.005-0.0139, respectively, in the Chinese population14. Rattay et al15 reported that the best differentiation of non-ALD and ALD individuals was obtained with cut-off values of <1.0 and <0.02 for C24:0/C22:0 ratio and C26:0/C22:0 ratio, respectively, among the German population. Wu et al16 found 26:0 LysoPC to be superior for diagnosing Japanese X-ALD, as compared to 24:0 LysoPC and 20:0 LysoPC. Huffnagel et al17 compared the sensitivity of C26:0-carnitine and C26:0-lysoPC in DBS to screen neonates for ALD, and found that C26:0-carnitine was elevated in only 83 per cent of babies who screened positive for ALD.

The present study highlights the importance of considering VLCFA ratios, along with the individual values for establishing the diagnosis, as including the ratios especially C24/C22 and C26/C20 would improve the sensitivity from 65.6 to 96.9 per cent, which is of significant additive prediction for identification of patients with suspected ALD. However, identification of female heterozygotes must rely on genetic testing, as normal VLCFA levels may be found in 15 per cent cases9. Our study also highlights the importance of neuroimaging and calculation of Loes score, which could direct the clinicians in decision-making on the appropriateness of instituting Haematopoietic stem cell transplant (HSCT), as well as follow up of these patients. In our series, five individuals (26.3%) had a Loes score <9, and two of them had a score <4. These individuals would therefore be ideal candidates for HSCT if the resources were available for the same. In addition, elivaldogene autotemcel (SKYSONA) gene therapy has been recently approved by the FDA for asymptomatic or mildly symptomatic boys 4-17 yr of age with early, active cerebral adrenoleukodystrophy (CALD) who have Loes scores of 0.5-9 on neuroimaging to slow the progression of neurologic dysfunction in these individuals18. Asymptomatic individuals with ALD identified by cascade screening are expected to have better outcomes as they can be identified before there is significant neurological damage and can be enrolled for definitive therapy. This can have significant survival benefits and prognostic implications by arresting and interrupting the demyelination process19.

Our study identified a mutational hotspot in the ABCD1 gene, which was exon 1 in our cohort, accounting for 54.3 per cent of patients. Of our patients, 20 per cent, were found to have a pathogenic variant in exon 5. This may strategise the priority of exon 1 analysis for the preliminary screening of ABCD1 gene, followed by exon 5. No pathogenic variant was detected in the exons 8, 9, and 10 of ABCD1 in our study. No genotype-phenotype correlation could be elucidated in our cohort. Marketa et al20 also did not find any correlation between the disease severity and the genotype. In the present study, most of the patients had a pathogenic variant in exon 1 (54.3%, n=19), followed by exon 5 (20%, n=7), and none in exons 8-10. However, a study by Boehm et al21 reported maximum mutations in exon 1 followed by exons 8 and 9.

Overall, the present study emphasises the importance of clinical suspicion, combined with biochemical and radiological investigations, in the diagnosis of X-linked ALD. Our cohort of 35 individuals with ALD from a single northern Indian centre, provides normative data for VLCFA and the cut-off values that offer best sensitivity and specificity in diagnosing patients with ALD. The study also highlights the importance of considering VLCFA ratios, in addition to individual values, to improve the sensitivity of diagnostic tests. This study also identifies a hotspot in exon 1 of the ABCD1 gene, which could be used for the preliminary screening of the ABCD1 gene in patients with suspected ALD. Additionally, the study highlights the importance of early diagnosis through cascade screening to identify asymptomatic individuals who may benefit from early intervention and have better clinical outcomes. The six asymptomatic individuals found to have investigation findings suggestive of ALD were advised for close follow up with a neurologist. However, as this study included subjects with ALD from a single tertiary care hospital in North India, the number of subjects recruited is not very large. As ALD is a heterogenous disease with various subtypes, the number of individuals falling in each subgroup was quite small, precluding any further analysis according to the disease subtype. There is a need for further similar, larger, multicentric studies on ALD patients from various ethnic groups to validate our results.

Financial support & sponsorship

None.

Conflicts of Interest

None.

Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation

The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.

References

  1. , , . X-linked adrenoleukodystrophy. Nat Clin Pract Neurol. 2007;3:140-51.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , , , , et al. A report on state-wide implementation of newborn screening for X-linked adrenoleukodystrophy. Am J Med Genet A. 2019;179:1205-13.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  3. , , , , , , et al. Genomic organization of the adrenoleukodystrophy gene. Genomics. 1994;22:13-20.
    [CrossRef] [PubMed] [Google Scholar]
  4. Adrenoleukodystrophy.info (ALD info). Adrenoleukodystrophy. Available from: https://adrenoleukodystrophy.info/, accessed on May 5, 2025.
  5. , , , . Utility of measuring very long-chain fatty-acyl carnitines in dried blood spots for newborn screening of X-linked adrenoleukodystrophy. Mol Genet Metab Rep. 2021;26:100720.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  6. , , , , , , et al. Comparison of the diagnostic performance of C26:0-lysophosphatidylcholine and very long-chain fatty acids analysis for peroxisomal disorders. Front Cell Dev Biol. 2020;8:690.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  7. , , , , , , et al. Neurological impairment among heterozygote women for X-linked adrenoleukodystrophy: a case control study on a clinical, neurophysiological and biochemical characteristics. Orphanet J Rare Dis. 2014;9
    [CrossRef] [Google Scholar]
  8. , , , , , , et al. Analysis of MRI patterns aids prediction of progression in X-linked adrenoleukodystrophy. Neurology. 2003;61:369-74.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , . Adrenoleukodystrophy in Norway: high rate of de novo mutations and age-dependent penetrance. Pediatr Neurol. 2013;48:212-9.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , , , et al. TopModel: Template-based protein structure prediction at low sequence identity using top-down consensus and deep neural networks. J Chem Theory Comput. 2020;16:1953-67.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , . DynaMut: Predicting the impact of mutations on protein conformation, flexibility and stability. Nucleic Acids Res. 2018;46:W350-W355.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  12. , , , . The clinical spectrum of X-linked adrenoleukodystrophy: from Addison’s-only in men to middle-age neurologic manifestations in women. Hormones. 2022;21:33-40.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  13. , , , , , , et al. Retrospective evaluation of patients with X-linked adrenoleukodystrophy with a wide range of clinical presentations: a single center experience. J Pediatr Endocrinol Metab. 2021;34:1169-7.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. Rapid liquid chromatography-tandem mass spectrometry to determine very-long-chain fatty acids in human and to establish reference intervals for the Chinese population. Clin Chim Acta. 2019;495:185-90.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , , , , et al. Defining diagnostic cutoffs in neurological patients for serum very long chain fatty acids (VLCFA) in genetically confirmed X-adrenoleukodystrophy. Sci Rep. 2020;10:15093.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  16. , , , , , , et al. Application of a diagnostic methodology by quantification of 26:0 lysophosphatidylcholine in dried blood spots for Japanese newborn screening of X-linked adrenoleukodystrophy. Mol Genet Metab Rep. 2017;12:115-8.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  17. , , , , , , et al. Comparison of C26:0-carnitine and C26:0-lysophosphatidylcholine as diagnostic markers in dried blood spots from newborns and patients with adrenoleukodystrophy. Mol Genet Metab. 2017;122:209-15.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , . Elivaldogene autotemcel approved for treatment of cerebral adrenoleukodystrophy (CALD) in males: a therapeutics bulletin of the American College of Medical Genetics and Genomics (ACMG) Genet Med Open. 2023;1:100835.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  19. , , , , , , et al. Cerebral X-linked adrenoleukodystrophy: the international hematopoietic cell transplantation experience from 1982 to 1999. Blood. 2004;104:881-8.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , , et al. X-linked adrenoleukodystrophy: phenotype-genotype correlation in hemizygous males and heterozygous females with ABCD1 mutations. Neuro Endocrinol Lett. 2021;42:359-67.
    [PubMed] [Google Scholar]
  21. , , , , . Accurate DNA-based diagnostic and carrier testing for X-linked adrenoleukodystrophy. Mol Genet Metab. 1999;66:128-36.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections
Scroll to Top