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European Journal of Medical Research logoLink to European Journal of Medical Research
. 2024 Mar 18;29:181. doi: 10.1186/s40001-024-01771-1

The natural history and burden of illness of metachromatic leukodystrophy: a systematic literature review

Shun-Chiao Chang 1,, Christian Stefan Eichinger 2, Polly Field 2
PMCID: PMC10946116  PMID: 38494502

Abstract

Background

Metachromatic leukodystrophy (MLD; OMIM 250100 and 249900) is a rare lysosomal storage disease caused by deficient arylsulfatase A activity, leading to accumulation of sulfatides in the nervous system. This systematic literature review aimed to explore the effect of MLD on the lives of patients.

Methods

The Ovid platform was used to search Embase, MEDLINE, and the Cochrane Library for articles related to the natural history, clinical outcomes, and burden of illness of MLD; congress and hand searches were performed using ‘metachromatic leukodystrophy’ as a keyword. Of the 531 publications identified, 120 were included for data extraction following screening. A subset of findings from studies relating to MLD natural history and burden of illness (n = 108) are presented here.

Results

The mean age at symptom onset was generally 16–18 months for late-infantile MLD and 6–10 years for juvenile MLD. Age at diagnosis and time to diagnosis varied widely. Typically, patients with late-infantile MLD presented predominantly with motor symptoms and developmental delay; patients with juvenile MLD presented with motor, cognitive, and behavioral symptoms; and patients with adult MLD presented with cognitive symptoms and psychiatric and mood disorders. Patients with late-infantile MLD had more rapid decline of motor function over time and lower survival than patients with juvenile MLD. Commonly reported comorbidities/complications included ataxia, epilepsy, gallbladder abnormalities, incontinence, neuropathy, and seizures.

Conclusions

Epidemiology of MLD by geographic regions, quantitative cognitive data, data on the differences between early- and late-juvenile MLD, and humanistic or economic outcomes were limited. Further studies on clinical, humanistic (i.e., quality of life), and economic outcomes are needed to help inform healthcare decisions for patients with MLD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40001-024-01771-1.

Keywords: Metachromatic leukodystrophy, MLD, Natural history, Burden of illness, Systematic literature review, Lysosomal storage disease

Background

Metachromatic leukodystrophy (MLD; OMIM 250100 and 249900) is a rare, life-limiting lysosomal storage disease (LSD). It is caused by pathogenic variants in the arylsulfatase A (ASA) or sphingolipid activator protein B (SAPB) genes (ARSA and PSAP, respectively), which are inherited in an autosomal recessive manner [1, 2]. Approximately 261 variants of ARSA and 64 variants of PSAP have been reported previously, and the majority of cases of MLD are associated with ASA deficiency [1, 2]. ASA or SAPB deficiency leads to accumulation of sulfatides throughout the body and is particularly detrimental to nervous system function [3]. The incidence (birth prevalence) of MLD varies across populations but has been estimated to be between 1 in 40,000 and 1 in 160,000 [1].

There are three clinical subtypes of MLD, based on the age at first symptom onset: late-infantile (onset ≤ 2.5 years), juvenile (onset 2.5– < 16 years), and adult (onset ≥ 16 years) MLD [4, 5]. Juvenile MLD has been further subdivided into early-juvenile and late-juvenile forms, which have onsets before or after the age of 6 years, respectively [5]. There is some evidence that disease onset with motor symptoms is associated with a more rapid disease progression than onset with cognitive symptoms only [5]. Patients with MLD are substantially impacted by a wide range of signs and symptoms, including gait abnormalities, speech regression, and seizures [1, 4]. Across all clinical subtypes of MLD, the lives of patients are shortened, with many patients not reaching adulthood [3, 4].

Published evidence about the natural history of MLD and how the disease affects the lives of patients is limited and has not, to our knowledge, been reviewed systematically.

For this systematic literature review (SLR), our aim was to understand how MLD affects the lives of patients. Here, we report a subset of our findings, focused on the epidemiology and natural history of MLD, including disease progression and associations between physical function and disease progression. While the focus of this SLR was on patients with late-infantile or juvenile MLD, relevant information from patients with adult MLD was also considered.

Methods

Search strategy

This study was conducted in accordance with guidelines from the Cochrane Collaboration [6], the University of York Centre for Reviews and Dissemination (CRD) [7], and the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) [8], and it was registered in the PROSPERO database.

The Ovid platform was used to search Embase (1974–2021), MEDLINE, and the Cochrane Library on June 23, 2021. The search strings used (Additional files 1, 2, 3) related to the natural history, clinical outcomes (not reported here), and burden of illness of MLD for patients with MLD. Congress and hand searches were also performed using ‘metachromatic leukodystrophy’ as a keyword. Congress searches covered the following congresses from 2020 to 2021: WORLDSymposium; International Congress of Inborn Errors of Metabolism; Society for the Study of Inborn Errors of Metabolism; International Society of Pharmacoeconomics and Outcomes Research European, US, and international congresses; Society for Inherited Metabolic Disorders; Child Neurology Society; American Neurological Association; European Society of Human Genetics; European Paediatric Neurology Society; European Academy of Neurology; American College of Medical Genetics and Genomics; European Society of Gene and Cell Therapy; and Congress of Neurological Surgeons. Hand searches covered the websites for ClinicalTrials.gov, the Cost-Effectiveness Analysis Registry, the International Clinical Trials Registry Platform, Research Papers in Economics, the University of Sheffield School of Health and Related Research Health Utilities Database, and the University of York CRD.

Eligibility criteria

The Participants, Interventions, Comparators, Outcomes, and Study design (PICOS) criteria are summarized in Table 1. For study titles and abstracts, double-blind screening was performed by two researchers, and any uncertainties were checked by a third reviewer. For congress abstracts and hand searches, screening was performed by one reviewer.

Table 1.

PICOS eligibility criteria

Eligibility criteria Inclusion criteria
Population

Patients with MLDa

• Late-infantile MLD

• Juvenile MLD

• Adult MLD

Interventions Any or none
Comparators Any or none
Outcomes

Natural history evidence

• Association between GMFC-MLD at baseline or phenotype and outcomes in the future, especially progression-related

• To include evidence for which an association has already been tested and evidence that could later be used for statistical testing (e.g., any longitudinal data)

• Specific question: does treatmentb give longer time in a more severe disease state?

Clinical outcomes

• Treatment options (best supportive care, HSCT, gene therapy, etc.), associated clinical outcomes in different disease stages, and variability across key markets

•Disease progression (including but not limited to):

• gross motor function

• cognitive function

 • difficulty in eating and drinking

• difficulty in breathing

• Morbidity and mortality associated with different treatment options stratified by:

     • clinical subtype (late-infantile, juvenile, or adult MLD)

     • disease stages

      • time period

 •  Treatment efficacy and/or effectiveness, treatment safety

    • Response and change from baseline evaluated using GMFC-MLD, including time to unreversed decline

   • Response and change from baseline evaluated using GMFM-88, including total score decline

   • Change from baseline in expressive language evaluated using ELFC-MLD

   • Change from baseline in CSF sulfatide levels

   • Change from baseline in proton MRS metabolite level of N-acetylaspartate/creatine

   • Change from baseline in Eichler MLD MRI severity score

   • TEAEs

   • AEs (grade > 3)

   • Pharmacokinetic measurements

   • HRQoL and patient-reported outcomes (LQLA; Vineland Adaptive Behavior Scales; PedsQL Family Impact Module, EQ-5D-5L, and EQ-5D-Y), COMFORT

  •Association between benefit for patient subgroups and types of treatments (especially HSCT)

• Humanistic and economic burden of illness evidence

• Healthcare resource use and costs (by clinical subtype and phenotype if reported)

 •Direct healthcare-related resource use (e.g., number of hospital admissions, days per admission)

• Cost of treatments

• Indirect healthcare cost (e.g., home modifications, wheelchairs, transportation, cost of care)

• Societal resource use (e.g., days that the caregivers take off work, percentage of people who quit their jobs)

•Economic evaluations

• Quality-adjusted life-years gained

 •Progression-free life-years gained

• Life-years gained

•Health state utilities

• Treatment patterns by geography (especially use of HSCT)

Study design

Natural history

• Real-world observational/non-interventional studies

• Clinical evidence

• RCTs, single-arm trials and real-world observational/non-interventional studies

• Humanistic and economic burden of illness evidence

• Not limited by study type

• All evidence

• SLRs and meta-analysesc

• Animal/in vitro studies and case reports will be excluded; case series will be included

Date restrictions •No limit
Publication type

• All primary publications and SLRsc

• Non-SLRs, editorials, notes, and letters will be excluded

Country and language • All countries if English language

AE: adverse event; COMFORT: Caregiver Observed MLD Functioning and Outcomes Reporting Tool; CSF: cerebrospinal fluid; ELFC-MLD, Expressive Language Function Classification in MLD; EQ-5D-5L: EuroQoL 5-dimension 5-level; EQ-5D-Y: EuroQoL 5-dimension youth; GMFC-MLD: Gross Motor Function Classification in MLD;

GMFM-88: Gross Motor Function Measure 88-item; HRQoL: health-related quality of life; HSCT: hematopoietic stem cell transplantation; LQLA: Leukodystrophy Quality of Life Assessment; MLD: metachromatic leukodystrophy; MRI: magnetic resonance imaging; MRS: magnetic resonance spectroscopy; PedsQL: Pediatric Quality of Life Inventory; PICOS: Participants, Interventions, Comparators, Outcomes, and Study design; RCT: randomized controlled trial; SLR: systematic literature review; TEAE: treatment-emergent adverse event

aStudies reporting adult populations were initially tagged at full-text review without data extraction

bBest supportive care

cThe reference lists from these publications were cross-checked against lists of included references in our SLR to ensure that all relevant data had been identified.

Any additional relevant data were extracted

Full-text review and data extraction

Single-blind full-text review was performed by one reviewer, with a second person resolving any uncertainties to confirm eligibility. Data were extracted into a predefined data extraction table by one reviewer and independently checked for errors by a second reviewer. Discrepancies were resolved through discussion or with the intervention of a third reviewer. For papers that reported data across LSDs or on leukodystrophy cohorts, data were extracted for the patients with MLD only if outcomes were reported separately for these patients.

Quality assessment

No randomized controlled trials were identified, but quality assessment using the Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool was completed for all full publications reporting data from non-randomized interventional clinical studies. For publications reporting data from non-interventional studies, the overall quality of the evidence identified was informally assessed based on a review of study methods and population size.

Results

Search results

The search identified 531 publications, of which 63 were removed as duplicates before title/abstract screening and 267 were excluded following title/abstract screening (Fig. 1). The full texts of the remaining 201 publications were screened against the PICOS criteria, following which 111 published studies were considered eligible for inclusion. Six abstracts were also identified from the congress searches, and three studies were included on request. In total, data were extracted from 120 studies, of which 88 were full publications and 32 were abstracts. Of the 120 studies, 22 were interventional in design (all of which were single-armed) and the remaining 98 were observational. All non-randomized, interventional studies were assessed with the ROBINS-I tool and determined to be of moderate quality.

Fig. 1.

Fig. 1

PRISMA diagram. aThe reference lists from these publications were cross-checked against lists of included references to ensure that all relevant data were identified. Data from SLRs/meta-analyses were not extracted. bFour references were data-extracted, but data were either not reported separately for patients with MLD, or no relevant data were reported in the publication. cOf the 120 publications from which data were extracted, 108 related to the natural history and burden of illness of MLD (i.e., non-treatment related). MLD: metachromatic leukodystrophy; PRISMA: Preferred Reporting Items for Systematic review and Meta-Analysis; SLR: systematic literature review

The studies selected for data extraction used patient data from countries across six continents. The countries with the largest number of studies reporting patient data were the USA, Germany, and Italy (20, 12, and 12 studies, respectively). Six studies included data from multiple countries/continents, and the country was not reported or unclear for 13 studies. We report a subset of studies (n = 108) that describe the natural history and burden of illness of MLD. Of these, 70 were natural history studies. Note that any data from the remaining observational, retrospective, or interventional studies (n = 38) were related to patients who were not receiving treatment in the form of hematopoietic stem cell transplantation, gene therapy, or enzyme replacement therapy, except where otherwise stated.

Epidemiology

The birth incidence and birth prevalence of MLD were reported in eight [916] and four [13, 14, 16, 17] studies, respectively (Table 2). For birth incidence, only postnatal diagnoses were considered, whereas for birth prevalence, both prenatal and postnatal diagnoses were considered. The data from these studies spanned 10 countries over a wide time frame and used different methodologies.

Table 2.

Birth incidence and birth prevalence of MLD

Author(s), year
country
Time period Birth incidence of MLD Birth prevalence of MLD Country/region reported Number of diagnosed cases of MLD Total population

Artigalas et al. 2010 [9]

Brazil

2003–2007 Minimum incidence of MLD: 0.67 per 100,000 live births NR Rio Grande do Sul, Brazil 5 745,971 live births

Gustavson and Hagberg. 1971 [10]

Sweden

1955–1965 Birth incidence for late-infantile MLD: ~ 1 per 40,000 births (2.5 per 100,000 births)a NR Umeh and Uppsala, Sweden 8 late-infantile; 1 juvenile 316,786 total births

Heim et al. 1997 [11]

Germany

1984–1990 Minimal incidence of all MLD subtypes of both sexes: 0.6 per 100,000 live births NR Germany 41 NR

Hult et al. 2014 [12]

Sweden

1980–2009 Incidence of MLD: 1.73 diagnoses per 100,000 births, corresponding to 1 per 58,000 births NR Sweden 36 2,080,791 births

Koto et al. 2021 [16],b

Japan

1975–2013 Birth incidence of MLD: 0.16 per 100,000c NR Japan 83 (estimated number of patients) NR
NR NR 1.09 per 100,000 Australia (Meikle et al. 1999) [14] NR NR
1.42 per 100,000 Netherlands (Poorthuis et al. 1999) [17] NR NR
1.85 per 100,000 Portugal NR NR
0.69 per 100,000 Czech Republic NR NR
1.43 per 100,000d Turkey NR NR
2.0 per 100,000 USA (Bonkowsky et al. 2018) [123] NR NR

Lugowska et al. 2011 [13]

Poland

1975–2004

1960–2009

Estimated incidence: 0.38 per 100,000 live births based on diagnosed cases

Expected birth prevalence (based on carrier rates)e per 100,000 conceived fetuses

• Cohort 1: 4.0 (95% CI: 1.7–9.6), or 1 in 25,000

• Cohort 2: 4.1 (95% CI: 1.4–12.4), or 1 in 24,390

• Pooled estimate: 4.1 (95% CI: 1.8–9.4), or 1 in 24,390 with two pathogenic mutations

Poland

62 (1975–2004)

73 (1960–2009)

16,332,700 (number of births between 1975 and 2004)

26,895,000 (number of births between 1960 and 2009)

Meikle et al. 1999 [14]

Australia

January 1980 to December 1996 Incidence in 1000s:f 121 (1/121,000 = 0.83 per 100,000 births)a Prevalence in 1000s:f 92 (1/92 000 = 1.09 per 100,000 births)a Australia 46 (35 postnatal, 11 prenatal) 545 lysosomal storage disease diagnoses

Poorthuis et al. 1999 [17]

The Netherlands

• Late-infantile: 1965–1991g

• Juvenile: 1954–1991g

• Adult:

1927–1970g

• Unspecified: (1957–1992)g

NR

Birth prevalence per 100,000:

•  late-infantile: 0.52

• juvenile: 0.51

• adult: 0.24

• unspecified: 0.15

  all: 1.42

Netherlands

• Late-infantile: 28

• Juvenile: 41

• Adult: 23

• Unspecified: 11

• All: 103

Number of live births:

• Late-infantile: 5,346,384 (1965–1991)

• Juvenile: 7,982,018 (1954–1991)

• Adult: 9,517,068 (1927–1970)

• Unspecified: 7,489,865 (1957–1992)

Stellitano et al. 2016 [15]

UK

1997–2014 Estimated lifetime risk per million UK live births: 5.8g (0.58 per 100,000 live births)a NR UK 76 3758 notifications of children meeting criteria for progressive intellectual and neurological deterioration; diagnosed leukodystrophies n = 349

Zlotogora et al. 2016 [94]

Israel

2013–2014 NR NR Israel 9 carriersh,i 891 Yemenite Jews

ARSA: arylsulfatase A gene; CI: confidence interval; MLD: metachromatic leukodystrophy; NR: not reported

aConverted for ease of interpretation

bData from the Netherlands and Portugal only included patients with an enzymatic diagnosis, while the report from Turkey included patients younger than 5 years of age. Therefore, the number of patients may be underestimated

cThese data were reported in the original publication as birth prevalence, but because they do not include prenatal data, they have been reported here as birth incidence

dThese data were reported in the original publication as birth incidence, but because they include prenatal data, they have been reported here as birth prevalence

eBased on mutation carrier rates of the ARSA gene for cohort 1: c.459 + 1G > A, p.P426L, and p.I179S among individuals undergoing paternity testing; cohort 2: c.459 + 1G > A and p.I179S in a study population representative of the Polish population; and pooled cohort: c.459 + 1G > A and p.I179S

fIncidence was calculated by dividing the number of postnatal diagnoses by the number of births during the study period

gBorn during the indicated period

hCorrected in 2017 corrigendum[15]

iBy genetic screening of newborn children for the P377L mutation of the ARSA gene

The Czech Republic was reported to have the lowest birth prevalence of MLD at 0.69 per 100,000 births [16], and Poland was reported as having the highest birth prevalence of 4.1 per 100,000 births [13]. Sweden was reported to have the highest incidence of MLD at 2.5 per 100,000 births [10], and Japan was reported to have the lowest incidence at 0.16 per 100,000 births [16].

The percentage of MLD cases within leukodystrophies was reported in nine studies [11, 1825] and ranged from 8.0% (country not reported) [18] to 42.4% (Saudi Arabia) [22]. One study reported a proportion lower than this range (3.0%), but it only included individuals who did not have diagnostic testing in another healthcare system and who had no previous family members with the same diagnosis [25]. The reported proportion of MLD within LSDs was reported in seven studies [12, 14, 16, 2629] and ranged from 3.3% (Japan) to 47.6% (Tunisia); however, the inclusion criteria varied between the studies. Those reporting a higher proportion of MLD within leukodystrophies or LSDs tended to have a smaller study population or were conducted in countries with higher rates of consanguinity. Three studies reported the proportion of MLD in inborn errors of metabolism, which ranged from 1.4% to 18.2% [2931]. Three studies reported the prevalence of MLD in lipidoses, which ranged from 18.0% to 30.2% [12, 17, 32].

Natural history

Age at symptom onset was reported in 51 studies [5, 9, 10, 22, 24, 3277]. Across all studies, the range of ages at symptom onset (for individual patients) was 0.5–3 years for late-infantile MLD [9, 10, 34, 35, 38, 44, 45, 4951, 53, 55, 5759, 6165, 72, 75, 77], 2–16 years for juvenile MLD (one study exclusively recruited early-symptomatic, early-juvenile patients) [9, 10, 34, 35, 45, 47, 49, 5153, 55, 57, 6365, 71, 72, 75, 77, 78], and 17–35 years for adult MLD [49, 72]. In most studies, mean age at symptom onset ranged from 16 to 18 months for the late-infantile subtype of MLD. For juvenile MLD, mean age at symptom onset ranged from 6 to 10 years [5, 9, 10, 22, 24, 3277].

Age at diagnosis was reported in 19 studies [9, 12, 16, 22, 35, 39, 42, 44, 53, 60, 66, 72, 73, 7984], of which seven [9, 53, 66, 79, 8183] reported data for the different clinical subtypes of MLD. The age at diagnosis ranged from 0.4 to 8.6 years for late-infantile MLD [9, 12, 14, 16, 35, 44, 53, 72, 79, 8184], from 3.0 to 21.6 years for juvenile MLD [9, 12, 14, 16, 35, 53, 72, 81, 82, 84], and from 17.0 to 35.3 years for adult MLD [72, 84]. Five of these studies reported children who received a diagnosis after an affected sibling [39, 42, 53, 72, 80].

Time to diagnosis from onset of symptoms was reported in 11 studies [9, 22, 38, 39, 53, 57, 69, 81, 8587]. Based on five studies that reported MLD-subtype-specific data, the ranges for time to diagnosis from symptom onset were 0–7.1 years for late-infantile MLD, with one study that reported a range from “almost immediately” to 13 months [81], and 0.1–23.5 years for juvenile MLD [9, 53, 57, 81, 85]. It should be noted that some of the studies reporting data on age at symptom onset and age at diagnosis did not report data for untreated patients specifically; therefore, some of the patients may have received treatment during or before the study.

Genetic variants

Although genetic variation was not a prespecified outcome of interest in this review (see Table 1), any genotype information in the identified studies was recorded and is later summarized. ARSA variants associated with MLD were reported in 27 studies [5, 13, 15, 22, 24, 45, 49, 50, 52, 6062, 66, 67, 69, 72, 75, 76, 80, 84, 8894]. Most of these studies reported genetic variants per patient as a case series. Lugowska et al. [90] reported the distribution of two variants by MLD subtype in a population from 16 European countries. The c.459 + 1G > A variant was found at a rate of 25% in patients with MLD (194/768 patients) and was found more commonly in patients with late-infantile MLD (137/344 [40%]) than in other clinical subtypes of MLD (juvenile: 36/222 [16%]; adult: 15/160 [9%]). The p.P426L variant was found at a rate of 18.6% in patients with MLD (143/768 patients) and was considerably more common in juvenile MLD (66/222 [30%]) and adult MLD (68/160 [42.5%]) than in late-infantile MLD (3/344 [0.9%]). Note that some of these studies did not report data for untreated patients specifically, so some patients may have received treatment during or before the study.

Initial symptoms in untreated children

Qualitative descriptions of disease severity at baseline in untreated children were identified in 20 studies, all of which were observational studies [5, 9, 24, 34, 35, 38, 43, 45, 56, 57, 62, 65, 71, 72, 74, 75, 89, 92, 95, 96]. Patients with late-infantile MLD generally presented predominantly with motor symptoms and developmental delays, whereas patients with juvenile MLD generally presented with motor, cognitive, and behavioral symptoms. The initial presentation of adult MLD was typified by cognitive symptoms and psychiatric and mood disorders.

Thirteen studies reported differences in initial symptoms between the late-infantile and juvenile forms of MLD [5, 9, 24, 34, 35, 38, 49, 53, 57, 63, 65, 81, 86]. The findings of these studies are summarized in Table 3. Patients with early-juvenile MLD were more likely to have some level of motor impairment with cognitive deficits, whereas patients with late-juvenile MLD were more likely to have predominantly cognitive or behavioral symptoms [5, 34, 49].

Table 3.

Comparison of initial symptoms reported in late-infantile and juvenile MLD

Author(s), year
country
Numbers of patients Initial symptoms, number or %
MLD total Late-infantile MLD Juvenile MLD Adult MLD Late-infantile MLD Juvenile MLD

Artigalas et al. 2010 [9]

Brazil

29 22 4 1

• Gait abnormality or frequent falls: 72.7%

 • Neuropsychomotor development delay: 31.8%

• Behavioral abnormalities: 4.5%

• Cognitive deficit: 4.5%

• Cognitive deficit associated with walking alterations: 25%

• Cognitive deficit: 50%

• Behavioral and cognitive alterations: 75%

Bascou et al. 2020 [35]

Unclear

122 NR NR NR Patients with onset before 3 years of age presented predominantly with gross motor involvement Patients with onset between 6 and 16 years of age presented mainly with cognitive impairment

Bascou et al. 2017 [34]

USA

104 63a

• Early-juvenile: 22b

• Late-juvenile: 14b

5b

• Delayed achievement of gross motor milestones: 46.0%

• Abnormal gait: 28.6%

• Gross motor regression: 20.6%

• Early-juvenile MLD had similar initial symptoms to late-infantile MLD

• Some cases involved impairment of fine motor skills and language acquisition

• Late-juvenile MLD had mainly cognitive deficiencies

• Memory/attention/learning difficulties: 50%

• Changes in personality: 21.4%

Bindu et al. 2005 [38]

India

40 36 4 0

• Baseline delay in milestones followed by regression: 38.8% (14/36)

– Others developed regression after a period of normal development

• Independent walking attained before the onset of illness: 50% (18/36)

– Frequent falls as the initial symptom: 78% (14/18)

• Behavioral abnormalities such as attention deficits, hyperactivity, inappropriate laughter, and hyper-oral behavior: 100% (4/4)

• Learning problems and scholastic backwardness: 100% (4/4)

• Myoclonic jerks: 75% (3/4)

• Sluggish or absent deep tendon reflexes, indicating underlying neuropathy: 100% (4/4)

Carson et al. 2015 [86]

USA

90 58 29 3 Initial symptoms were mostly related to changes in gait In late-juvenile MLD, the initial symptoms were changes in cognitive and behavioral function

Eichler et al. 2016 [81]

USA, France, Germany, and Colombia

23 14 6 3

Initial symptoms included:

• frequent falling or other walking problems

• regression of speech or motor skills

• behavioral abnormalities

Initial symptoms included:

• gait problems

• behavioral abnormalities

Fumagalli et al. 2021 [49]

Italy

45 22

19

Early-juvenile: 14

Late-juvenile: 5

4

• No independent walking: 40.9% (9/22)

• No independent sitting: 4.5% (1/22)

• Gait impairment (unsteadiness, frequent falls, and toe walking variably associated with musculoskeletal abnormalities such as foot deformities or retro-curved knees): 54.5% (12/22)

• Nystagmus: 4.5% (1/22)

• Strabismus: 9.1% (2/22)

Early-juvenile MLD

• Isolated gross motor impairment (tripping or falling, clumsiness, and poor balance): 28.6% (4/14)

• Isolated behavioral and/or cognitive regression: 35.7% (5/14)

• Decline of both cognitive and fine or gross motor skills: 35.7% (5/14)

• Seizures: 7.1% (1/14)

• Loss of bladder control: 35.7% (5/14)

• Late-juvenile MLD

• Isolated behavioral and cognitive regression, such as attention deficit, reduced school performance, social withdrawal, and loss of sphincter control: 100% (5/5)

Harrington et al. 2019 [53]

USA

32

plus eight siblings

16 16 0

• Problems with gross motor function (particularly in walking): 75.0% (12/16)

• Never learned to walk independently: 68.8% (11/16)

• Experienced symptoms relating to gross motor function by the time of diagnosis: 93.8% (15/16)

• Decline in cognitive function before diagnosis: 6.3% (1/16)

• Changes in cognitive function: 56.3% (9/16)

• Changes in social/behavioral function: 43.8% (7/16)

• Decline in gross motor function by the time of diagnosis (slowed movements, affected gait, and loss of balance): 56.3% (9/16)

Kehrer et al. 2014 [57]

Germany

59 23 36 0

None of the patients with late-infantile MLD had exclusively “non gross motor” symptoms as the first signs of disease (P values are for late-infantile vs. juvenile MLD)

• Gait disturbance: 70% (16/23); P = 0.9922

• Pain: 26% (6/23); P = 0.2447

• Abnormal movement patterns: 61% (14/23); P = 0.5011

• Impaired fine motor skills: 17% (4/23); P = 0.0011

• Restlessness/irritability: 17% (4/23); P = 0.3645

• Weakness: 43% (10/23); P = 0.5748

• Problems with concentration: 0% (0/23); P = 0.0001

• Behavioral problems: 13% (3/23); P = 0.0012

• Developmental regression in general: 61% (14/23); P = 0.5449

• Exclusively “non-gross-motor” symptoms as the first signs of disease: 17% (6/36)

• “Impaired fine motor skills”, “concentration problems”, and “behavioral problems”: 36% (13/36)

• Gait disturbance: 69% (25/36)

Pain: 14% (5/36)

• Abnormal movement patterns: 69% (25/36)

• Impaired fine motor skills: 61% (22/36)

• Restlessness/irritability: 28% (10/36)

• Weakness: 36% (13/36)

• Problems with concentration: 64% (23/36)

• Behavioral problems: 56% (20/36)

• Developmental regression in general: 53% (19/36)

Kehrer et al. 2021 [5]

Germany

97 35

56

• Early-juvenile: 18

• Late-juvenile: 38

6

• Motor symptoms only: 91% (32/35)

• Motor and cognitive symptoms: 9% (3/35)

Early-juvenile MLD

• Motor symptoms only: 61% (11/18)

• Motor and cognitive symptoms: 39% (7/18)

• Late-juvenile MLD

• Cognitive symptoms only: 61% (23/38)

• Motor symptoms only: 13% (5/38)

• Motor and cognitive symptoms: 26% (10/38)

Mahmood et al. 2010 [63]

USA

303 (SLR)

3 cases

98 (SLR)

3 cases

78 (SLR) 127 (SLR)

A total of 38 late-infantile cases had detailed clinical features provided

• Motor or gait abnormalities: 61%

Seizures: 39%

The first symptom was rapid progression in lower extremity muscle tone; all three siblings lost the ability to walk within days of each other

• Pooled SLR survival analysis

• Inattention and difficulties at school: 66%

• Gait difficulties: 26%

• Tremor or ataxia: 18%

• Neuropathy: 13%

• Seizures: 5%

Raina et al. 2019 [65]

India

12 4 8 0

Reported symptoms at presentationb

• Motor impairment: 100% (4/4)

• Neurocognitive impairment: 100% (4/4)

• Language impairment: 100% (4/4)

• Seizures: 25% (1/4)

• Psychomotor regression: 75% (3/4)

• Bilateral spasticity: 100% (4/4)

• Areflexia: 50% (2/4)

Reported symptoms at presentationb

• Motor impairment: 75% (6/8)

 • Neurocognitive impairment: 87.5% (7/8)

• Language impairment: 87.5% (7/8)

• Seizures: 12.5% (1/8)

 • Psychomotor regression: 0% (0/8)

• Gait difficulty: 63% (5/8)

• Extrapyramidal features (generalized dystonia): 38% (3/8)

• Ataxia: 25% (2/8)

Saeed et al. 2017 [24]

Saudi Arabia

14 12 2 NR

All presented with psychomotor regression of achieved developmental milestones (motor milestones regression, cognitive deterioration, and generalized spasticity)

Other clinical findings

• Optic atrophy: 100% (14/14)

• Convulsions: 14.25% (2/14)

• Small head size: 14.25% (2/14)

The two patients who received a diagnosis of juvenile MLD presented with ataxia and cognitive decline

MLD: metachromatic leukodystrophy; NR: not reported; SLR: systematic literature review

aPercentages reported in the study have been converted to n numbers for ease of comparison

bPatients were subclassified into late-infantile and juvenile MLD based on the age of onset of symptoms and their clinical characteristics

The most frequently reported initial symptoms affecting motor function were gait disturbances, walking difficulties, frequent falls, and problems with balance, and the most frequently reported symptoms affecting cognitive function included learning difficulties, language acquisition, and behavioral changes. Other frequently reported initial symptoms were neuropathy, ataxia, seizures, tremor, and incontinence.

Gross Motor Function Classification in MLD (GMFC-MLD) level at baseline

The GMFC-MLD is a clinician-rated classification system of motor decline in MLD [97]. It has seven categories representing clinically relevant stages from normal (category 0) to loss of all locomotion (category 6) including head and trunk control [97]. GMFC-MLD level at disease baseline in untreated patients was reported in five studies, which are later described in detail [50, 56, 65, 72, 85]. Unless stated otherwise, baseline was defined as the patient’s GMFC-MLD level at the time of first assessment as reported by each study. There was a trend for patients with late-infantile MLD to have a higher baseline GMFC-MLD level than patients with juvenile or adult MLD.

Kehrer et al. reported GMFC-MLD levels in patients at the age of 18 months, which is the earliest age at which the scale can be reliably used. Gross motor function before 18 months was considered ‘normal’ if there was no evidence of motor regression and if developmental milestones were achieved at the expected chronological age. There was a significant difference between late-infantile and juvenile MLD; only 5/28 patients with late-infantile MLD had ‘normal’ gross motor function before the age of 18 months, whereas all patients with juvenile MLD had ‘normal’ motor function at this age (P < 0.001). At age 18 months, most patients with late-infantile MLD were at GMFC-MLD level 1 or 2 (level 0: n = 3; level 1: n = 7; level 2: n = 9; level 3: n = 3), whereas all patients with juvenile MLD were at level 0 [56].

Raina et al. retrospectively reported median GMFC-MLD levels in patients’ first recorded clinical, electroneurography, and neuroimaging examinations. Patients with late-infantile MLD tended to be at a higher level of GMFC-MLD than patients with juvenile MLD (late-infantile MLD [n = 4]: level 6 [range: 2–6]; juvenile MLD [n = 8]: level 2 [1–6]) [65].

Tillema et al. collected data on GMFC-MLD levels via a retrospective clinical chart review as part of a study in patients who had undergone magnetic resonance imaging (MRI) scans shortly after diagnosis. The study reported a median GMFC-MLD score of 1 (range: 0–6) for childhood-onset MLD (late-infantile MLD: n = 3; juvenile MLD: n = 11) and a median score of 0 (range: 0–1) for adult MLD (n = 6) [72].

Groeschel et al. reported cerebral volumetric changes as assessed by MRI in patients with late-infantile MLD (n = 18) and compared these cross-sectionally with those from typically developing children in the same age range (n = 42). The GMFC-MLD level for each patient with MLD at the time of MRI examination was reported; most patients were at the higher levels of GMFC-MLD

(level 1: n = 1; level 2: n = 4; level 3: n = 1; level 4: n = 1; level 5: n = 4; level 6: n = 7) [50].

Ammann-Schnell et al. reported the results of semi-standardized questionnaires completed by the parents of patients with MLD. At the time of the survey, parents reported a median GMFC-MLD level of 6 (range: 5–6) for patients with late-infantile MLD (n = 8) and 4.5 (0–6) for patients with juvenile MLD (n = 18) [85].

Comorbidities and complications

Comorbidities and complications related to MLD were reported in a cross-sectional manner in 35 studies [11, 15, 16, 20, 21, 24, 33, 36, 38, 39, 42, 43, 46, 47, 49, 55, 5961, 6466, 69, 74, 75, 78, 80, 81, 83, 86, 98102]. Neuropathy, seizures, gallbladder abnormalities, incontinence, ataxia, epilepsy, and optic atrophy were reported in four or more studies (Fig. 2). Difficulties with swallowing were also reported in four studies, of which three also reported difficulties with breathing, and hypertonia or hypotonia were reported in three studies [15, 16, 21, 61, 81, 101]. Other comorbidities and complications reported (in single studies only) included scoliosis, unilateral left hip subluxation, spastic quadriparesis, dysarthria, visual loss, spasticity, dystonia, abnormal nerve conduction, metabolic acidosis, and decline in language [21, 61, 64, 99]. Additionally, one phenome-wide association study compared four specifical leukodystrophies (X-linked adrenoleukodystrophy, Hurler disease, Krabbe disease, and MLD) in a nationwide pediatric database and found that while developmental delay, epilepsy, fluid and electrolyte disturbances, and respiratory issues were shared morbidities in leukodystrophies, infantile cerebral palsy was uniquely associated with MLD [20].

Fig. 2.

Fig. 2

MLD comorbidities and complications reported in three or more studies. Comorbidities and complications related to MLD were reported in 35 studies. MLD: metachromatic leukodystrophy

Disease progression

Progression-related outcomes in untreated patients with MLD were described in 20 studies containing longitudinal data [5, 9, 39, 42, 45, 4953, 5558, 63, 71, 76, 87, 103, 104]. The findings from these studies are summarized in Table 4. Overall, patients with late-infantile MLD were reported to have a faster decline of motor function over time than patients with juvenile MLD (based on data from 10 studies) [9, 39, 53, 55, 56, 58, 61, 63, 76, 103]. Changes in cognitive function in patients with MLD from natural history cohorts were reported in nine studies [5, 45, 5153, 57, 61, 76, 104], of which one study reported changes over time using the Bayley Scales of Infant Development, second edition [76]. Disease progression in MLD affecting eating and drinking was reported in six studies that included natural history cohorts [5, 39, 42, 49, 53, 55]. Impairment or decline in language was reported in five studies; none of these reported explicitly using the Expressive Language Function Classification in MLD [5, 45, 53, 57, 65].

Table 4.

Studies reporting progression-related outcomes in untreated (natural history) cohorts

Author(s), year,
country
Number of patients with MLD Association between GMFC-MLD at baseline and progression Gross motor function Cognitive function Eating, drinking, and breathing Key finding(s)

Artigalas et al. 2010 [9]

Brazil

22 late-infantile MLD; 4 juvenile MLD Reports the age of acquisition and loss of neuropsychomotor developmental milestones in patients with late-infantile and juvenile MLD

Biffi et al. 2008 [76]

Italy

16 late-infantile MLD; 9 juvenile MLD Patients with the 0/0 genotype had the most rapid decline in gross motor function and the most severe cognitive impairment. Patients with the 0/R genotype had progressive and severe motor and cognitive deficit, while patients with the R/R genotype were relatively less impaired, and cognitive function remained stable

Brown et al. 2018 [39]

USA

11 juvenile MLD Caregivers reported impairments in physical functioning related to activities of daily living in patients with juvenile MLD

Chen et al. 2016 [42]

Australia

5 juvenile MLD in total; 2 untreateda Describes age (or time after diagnosis) at which patients with juvenile MLD were gastrostomy-fed

Eichler et al. 2016 [81]

USA, France, Germany, and Colombia

14 late-infantile MLD; 6 juvenile MLD; 3 adult MLD; 30 caregivers Across all clinical subtypes of MLD, 50% of caregivers reported that their dependents had difficulty swallowing, and 43% reported breathing/respiratory difficulties

Elgun et al. 2019 [45]

Germany

12 sibling pairs (3 late-infantile MLD, 9 juvenile MLD) compared with 61 unrelated children (29 late-infantile MLD, 32 juvenile MLD)

All children in the late-infantile MLD group had rapid and uniform progression of motor function decline

In the juvenile MLD group, the course of motor decline was significantly different between siblings and unrelated patients

Fumagalli et al. 2021 [49]

Italy

22 late-infantile MLD; 19 juvenile MLD (14 early-juvenile, 5 late-juvenile) Significant differences in all major disease-related milestones (except death) were observed between the early-juvenile and late-juvenile MLD groups. The late-infantile MLD group displayed earlier loss of trunk control, dysphagia, and death from the time of symptom onset when compared with the early-juvenile group, but loss of ambulation and the start of seizures were similarly rapid between both groups

Groeschel et al. 2011 [51]

Germany

33 late-infantile MLD; 35 juvenile MLD Eichler MLD MRI severity scores were significantly correlated with GMFC-MLD level in both late-infantile and juvenile MLD, but this was less remarkable in the juvenile form

Groeschel et al. 2012 [50]

Germany

18 late-infantile MLD Demyelination load was associated with decline in gross motor function assessed using GMFC-MLD in patients with late-infantile MLD, and was correlated with disease duration

Groeschel et al. 2016 [52]

Germany

65 juvenile MLD (24 treated with HSCT; 41 untreated) Ten years after disease onset, 28 of 41 patients (68%) in the untreated cohort had progressed to GMFC-MLD level 5 and had experienced loss of language, and untreated patients’ Eichler MLD MRI severity scores significantly increased from their early to late disease stagesb

Harrington et al. 2019 [53]

USA

16 late-infantile MLD; 16 juvenile MLD Caregivers reported that patients with late-infantile MLD experienced rapid disease progression; mean time from first symptom to either complete loss of a gross motor function, a fine motor function, or speech was only 1.0 year (range: 0.2–4.0 years)

Jabbehdari et al. 2015 [55]

Iran

12 late-infantile MLD; 6 juvenile MLD

Patients with late-infantile MLD had difficulties with swallowing and eating 2 years after disease onset, and the mental and motor regression process lasted about 10.5 months

The progression of juvenile MLD was slower than the late-infantile form

Kehrer et al. 2011 [56]

Germany

21 late-infantile MLD; 38 juvenile MLD

Three-quarters of the patients with late-infantile MLD showed their first motor symptoms before the age of 18 months

The time to move from GMFC-MLD level 1 to level 6 was significantly longer in patients with juvenile MLD than in patients with late-infantile MLD

Kehrer et al. 2014 [57]

Germany

23 late-infantile MLD; 36 juvenile MLD

In the late-infantile MLD group, the median age when language decline occurred was 30 months (range: 17–42 months); almost half (48%) never learned to speak complete sentences. In the juvenile MLD group, the median age when language decline occurred was 8 years

There were significant differences between the late-infantile and juvenile MLD groups in terms of problems in concentration and behavioral problems appearing as the first symptoms of disease

Kehre et al. 2021 [5]

Germany

35 late-infantile MLD; 56 juvenile MLD (18 early-juvenile, 38 late-juvenile)

For all clinical endpoints, patients with cognitive onset only had significantly slower progression in the course of their disease than patients with either motor onset only or motor and cognitive onset

Patients with late-infantile MLD had significantly shorter time from disease onset to their first swallowing difficulties than patients with early-juvenile MLD; however, time from disease onset to tube feeding was similar

Kim et al. 1997 [58]

South Korea

7 late-infantile MLD All children displayed normal development until the onset of symptoms (ranging from 9 to 28 months)

Koto et al. 2021 [16]

Japan

15 late-infantile MLD Most patients (60.0%) had enteral nutrition and 20.0% had a tracheostomy; 6.7% had nasal nutrition

Liaw et al. 2015 [61]

Taiwan

5 late-infantile MLD

All children had rapid psychomotor regression after disease onset and became bedridden at a median age of 2 years and 5 months

The median age at which language function regressed to “unable to speak” in four patients was 2 years and 6 months, while the median age at which social function deteriorated to “loss of eye contact” in three patients was 3 years and 5 months

Of four patients who had data available on support with feeding and breathing, all had a gastric tube fitted (at ages ranging from 2.5 to 3.7 years), and one patient had home BiPAP respiratory support at the age of 5.1 years

Mahmood et al. 2010 [63]

USA

98 late-infantile MLDc; 78 juvenile MLDc Three triplets with a diagnosis of late-infantile MLD had normal initial development; at approximately 16 months of age, a rapid change in their development was noticed

Martin et al. 2012 [104]

France

10 late-infantile MLD; 3 juvenile MLD In the five late-infantile and three early-juvenile MLD patients with baseline and follow-up data available, changes in mean MRI severity scores over time indicated a more rapid decline in the late-infantile patients

Strolin et al. 2017 [71]

Germany

46 juvenile MLD A significant positive correlation between demyelination load and higher GMFC-MLD level in patients with juvenile MLD was reported

van Rappard et al. 2016 [101]

Netherlands

8 late-infantile MLD; 18 juvenile MLD Most evaluable untreated patients needed feeding via gastrostomy

van Rappard et al. 2018 [87]

Netherlands

12 juvenile MLD A strong correlation between NAA concentration at baseline and GMFC-MLD score at latest follow-up was reported in untreated patients 2 years after diagnosis

Zlotogora et al. 1981 [103]

Israel

6 late-infantile MLD Children with late-infantile MLD showed a significant delay in walking compared with unaffected children

Bold text indicates that outcomes are reported separately for each clinical subtype of MLD. Ticks indicate that the study reported data for the outcome; white boxes indicate that no data were reported for the outcome

BiPAP: bilevel positive airway pressure; GMFC-MLD: Gross Motor Function Classification in MLD; HSCT: hematopoietic stem cell transplantation; MLD: metachromatic leukodystrophy; MRI: magnetic resonance imaging; NAA: N-acetylaspartate; SLR: systematic literature review

aUntreated patients were described as a reference or control for patients receiving treatment

bKaplan–Meier survival plots for both treated and untreated patients with GMFC-MLD level < 5 and without loss of language, and Eichler MLD MRI severity scores for both treated and untreated patients are reported in Figs. 3 and 4 of the publication but were not extracted for this SLR

cSLR publication

Changes in GMFC-MLD scores over time were reported in nine studies that included untreated patients [5, 45, 4952, 56, 71, 87]. Generally, children with late-infantile MLD had more rapid deterioration of gross motor function than children with juvenile-onset MLD. The age at entry into a certain GMFC-MLD category was reported to be more uniform in late-infantile than juvenile MLD [45, 56]. There was also some evidence of a positive correlation between demyelination load and GMFC-MLD scores [50, 51, 71].

Gross motor function (not assessed in relation to baseline GMFC-MLD) was reported in 10 studies that included untreated patients [9, 39, 53, 55, 56, 58, 61, 63, 76, 103]. Time of acquisition and loss of neuropsychomotor milestones were reported in one study [9]. Overall, these studies showed that patients with late-infantile MLD had faster declines of gross motor function over time than patients with juvenile MLD.

Mortality and survival

Data on mortality for untreated patients were reported in seven studies [10, 22, 49, 52, 61, 63, 101]. Mortality over time was reported in five studies [49, 52, 61, 63, 101], and the findings from these studies are summarized in Table 5. Survival measured from birth was reported in three studies [49, 61, 63], and survival measured from the onset of first symptoms was reported in three studies, of which two reported on mortality by clinical subtype [49, 52, 63]. Fumagalli et al. reported the 10-year survival rates from symptom onset for late-infantile MLD (40%) and early-juvenile MLD (80%), and found that survival rates were lower in patients with late-infantile MLD than in patients with juvenile MLD [49]. Van Rappard et al. reported that 8/22 untreated patients (36%) died 22–72 months after diagnosis [101]. Mahmood et al. found that, since 1921, the 10-year survival rates from symptom onset were 0%, 44.3%, and 69.6% for late-infantile, juvenile, and adult MLD, respectively. Further analysis by decades indicated increased survival over time for all types of MLD. Specifically, 5-year survival reported after 1990 was significantly higher than that reported prior to 1970 for all subtypes of MLD (late-infantile: 52% vs. 14%; juvenile: 100% vs. 46%; adult: 95% vs. 67%). The systematic review described by Mahmood et al. excluded studies that only included patients receiving transplants [63]. Mortality according to genetic variants was reported for a Saudi Arabian cohort through a 5-year time frame. In this study, 7/11 children with variants in ARSA had died, whereas 10/10 patients with PSAP variants were alive [22].

Table 5.

Mortality over time and overall survival in untreated children with MLD

Author(s), year,
country
Late-infantile MLD Juvenile MLD
OS for late-infantile MLD, years Survival rates for
late-infantile MLD
OS for juvenile MLD, years Survival rates for
juvenile MLD

Fumagalli et al. 2021 [49]

Italy

Median OS (time from symptom onset)

• Overall (n = 22): 8.42a

• Ambulant (n = 13): 9.17

• Non-ambulant (n = 9): 8.42 (P = 0.9424 vs. ambulant)

• Median OS (from birth):

• Ambulant (n = 13): 10.17

 • Non-ambulant (n = 9): 9.42 (P = 0.5768 vs. ambulant)

• 5 years from symptom onset: 56%

 • 10 years from symptom onset: 40%

Median OS (time from symptom onset)

• Early-juvenile (n = 14): not reached

 • Early-juvenile subgroup with motor symptoms at onset (n = 9): not reached

• Early-juvenile subgroup with only cognitive symptoms at onset (n = 5): not reached

• Late-juvenile (n = 5): not reached

Early-juvenile (n = 14)

• 5 years: 90%

•10 years: 80%

•15 years: 68.6%

 Early-juvenile subgroup with motor symptoms at onset (n = 9)

•15 years: 68.6%

Early-juvenile subgroup with only cognitive symptoms at onset (n = 5)

• 15 years: 66.7%

Late-juvenile (n = 5)

• 5 years: 100%

• 10 years: 100%

•15 years: 100%

Groeschel et al. 2016 [52]

Germany

N/A N/A

Untreated

  •Median age at follow-up: 15.8 years (range: 3.9–47.1 years)

Untreated

•  5 years from disease onset:b 100% (41/41)

• 5 years from baseline evaluation:b 73% (30/41)

Liaw et al. 2015 [61]

Taiwan

Of 5 patients in total, 3 patients had follow-up data: 2 died at 7.34 years old and 4.75 years old (both from respiratory failure) and 1 was alive at 8 years of age NR N/A N/A

Mahmood et al. 2010 [63]

USA

NR

5 years from onset of symptoms: 25.1%

10 years from onset of symptoms: 0%c

NR

5 years from onset of symptoms: 70.3%

10 years from onset of symptoms: 44.3%c

Author(s), year,
country
Studies not reporting by subtype of MLD
OS for MLD, years Survival rates for MLD, years

van Rappard et al. 2016 [101]

Netherlands

8 untreated patients (36%) died 22–72 months after diagnosisd

At latest assessment

Untreated (n = 22): 63.6% at ~ 70 monthse since diagnosisf

No studies were identified reporting mortality data for untreated adult patients with MLD

CI: confidence interval; HR: hazard ratio; MLD: metachromatic leukodystrophy; N/A: not applicable; NR: not reported; OS: overall survival

aThe insertion of a percutaneous gastrostomy tube was not associated with prolonged survival in patients with late-infantile MLD (HR 0.78 [95% CI: 0.33–1.83]; P = 0.572)

bMedian (range) age at disease onset was 6.5 (2.7–16.0) years

cThe systematic review described in Mahmood et al. 2010 excluded studies that were limited to patients receiving transplants

dSubtypes NR; all were < 16 years of age

eApproximate values read from graphs in publication

fSubtypes NR

Humanistic evidence

Four studies reported the impact of MLD on patients and caregivers, which are later described in detail [77, 81, 85, 105]. Pang et al. reported data on quality of life (QoL) for 21 patients with MLD and their caregivers. Caregivers in Germany, the UK, and the USA were asked to complete a Pediatric Quality of Life Inventory and an EuroQoL 5-dimension (EQ-5D) questionnaire. Most caregivers (71%) self-reported problems with anxiety/depression, and the mean EQ-5D index values were lower than those for the population norms for each of the three respective countries [77].

Ammann-Schnell et al. asked the parents and families of children with MLD (8 late-infantile and 21 juvenile-onset) about the impact of MLD on their QoL and general family functioning. All reported significantly lower health-related QoL (HRQoL) than the parents and families of unaffected children (P < 0.001), with mothers being more significantly affected than fathers (P < 0.05). Parents of children with late-infantile MLD reported worse HRQoL and family functioning than parents of children with the juvenile form of MLD, and scores worsened with increasing time from diagnosis and as children reached an advanced, terminal disease stage [85].

Eichler et al. conducted caregiver interviews to identify the specific clinical and QoL outcomes relevant for both patients with MLD and their caregivers. Caregivers reported that the most troublesome symptoms for them were immobility (9/30 caregivers) and respiratory difficulties (6/30), across all MLD subtypes (late-infantile, juvenile, and adult); however, patients reported that the most troublesome symptom for them was difficulty with communication (6/30), according to their caregivers. Caregivers reported considerable emotional burden, most commonly caused by the need to be confined to the home to provide care (16/30), relationship difficulties with spouses (6/30), feelings of fear (11/30), and depression or worry (8/30 each). Patients most commonly reported loss of autonomy (13/30) and their limited relationships with peers (9/30) as the most emotionally troublesome effects of their condition [81].

Pang et al. (2021) reported health state utility values for patients with infantile and juvenile MLD in the UK, developed through literature review and interviews with clinicians (n = 6) and caregivers (n = 21). Health states were defined by GMFC-MLD levels 0–6 and by Development Quotient scores for three cognitive functioning levels (normal/mild, moderate, and severe) for patients with juvenile MLD; late-infantile health states were defined by GMFC-MLD only. Clinicians reported that, from GMFC-MLD level ≥ 2, patients experienced significant symptoms, with significant overlap between levels, from level 2 to level 6. Reported symptoms included problems with swallowing, muscle spasms, digestive issues, seizures, and sleep. Health states were valued by 101 members of the UK general public via visual analog scale and time trade-off (TTO) assessment, including the lead-time method. Lead-time TTO is a method whereby individuals express their preferences for different health states by hypothetically trading between QoL and quantity of life, without having to consider whether these states are better or worse than being dead [106]. For late-infantile MLD health states, mean TTO values ranged from 0.71 for GMFC-MLD level 1 to − 0.47 for GMFC-MLD

level 6. Utility values were lower for juvenile health states than for late-infantile health states and worsened with cognitive status: in the normal/mild cognitive group, mean utility values ranged from 0.90 for GMFC-MLD level 1 to − 0.07 for GMFC-MLD level 4; in the moderate cognitive group, mean scores ranged from 0.85 for GMFC-MLD level 0 to − 0.62 for GMFC-MLD level 6; and in the severe group, mean scores ranged from 0.37 for GMFC-MLD level 0 to − 0.70 for GMFC-MLD level 5 [105].

Economic evidence

Two studies reported resource use for untreated patients with MLD [81, 82]. One study reported healthcare resource use post-MLD diagnosis for 24 patients with MLD (12 late-infantile and 12 juvenile) in the UK.

Overall, these patients had a mean of 3.7 (standard deviation [SD] 7.2) outpatient hospital attendances per patient-year (4.0 [SD 9.9] for patients with late-infantile MLD; 3.4 [SD 3.1] for patients with juvenile MLD). Mean elective inpatient admissions per patient-year were 2.6 (SD 8.8) for patients with late-infantile MLD and 0.1 (SD 0.2) for patients with juvenile MLD (1.4 [SD 6.2] per patient-year overall). Overall, patients with MLD had a mean of 0.05 (SD 0.10) day case admissions per patient-year [82]. In another study of patients from Colombia, France, Germany, and the USA, 12/22 caregivers interviewed reported that their respective patients required an average of 1–3 visits to primary care practitioners per month, and nine reported an average of 1–3 specialist visits per month. Eight patients had required at least 11 hospitalizations since diagnosis; however, given that the two studies used different measures of economic impacts, these results cannot be directly compared [81].

Discussion

This SLR offers a comprehensive and robust analysis of topics related to the natural history and burden of illness of MLD, having been designed and conducted using methodology in accordance with the 2020 PRISMA guidelines. To our knowledge, it is the first SLR to provide a broad overview of these areas, complementing a previous SLR that summarized mortality data in studies of MLD from 1920 to June 30, 2006 [63]. The data reported show that the disease course varies widely between patients with MLD and that patients exhibit a wide range of signs, symptoms, comorbidities, and complications. These data also provide an important comparator dataset for outcomes when evaluating the effects of new disease-modifying therapies for MLD.

The wide variation in age at diagnosis and time to diagnosis reported in this SLR is likely to be due to differences in diagnostic methods over time and between countries; it also highlights the unmet need for early diagnosis of patients with MLD. Increased disease awareness and more frequent and widespread diagnosis of presymptomatic patients through newborn screening would help to reduce the wide variation in age at diagnosis and time to diagnosis for this disease. Crucially, newborn screening for MLD has been shown to be possible in a real-world scenario and to have a high degree of support among caregivers of patients with MLD, although a number of challenges to its implementation remain [107111]. Various prospective screening pilots are ongoing, and between October 2021 and August 2022, a program in Germany screened ~ 50,000 babies and identified four ARSA heterozygotes, one of whom was MLD positive [112]. Improved availability of newborn screening would also help to increase the proportion of patients who are eligible for gene therapy [113115].

Patients with MLD experience a high disease burden that increases as the disease progresses, with commonly reported comorbidities and complications including seizures, ataxia, and optic atrophy. Although patients with MLD typically die prematurely, data from a previous SLR suggest that survival has improved over time for all clinical subtypes of MLD [63]. Currently, little evidence is available on time to loss of motor function, although this may be a more useful measure than mortality for understanding disease progression and its subsequent impact on QoL.

Typically, patients with late-infantile MLD have earlier onset, a more rapid decline of motor function over time, higher GMFC-MLD levels, and lower survival than patients with juvenile MLD. Patients with late-infantile MLD typically present predominantly with motor function symptoms and delays in reaching developmental milestones, whereas patients with juvenile MLD usually present with motor, cognitive, and behavioral symptoms. In the initial presentation of the late-juvenile and adult subtypes, cognitive symptoms predominate. These findings are generally consistent with the clinical presentation of patients with different MLD subtypes in a recent study [116]. However, in this study only a small proportion of patients with late-juvenile MLD (1/12, 8%) had a cognitive-only phenotype, suggesting that the clinical phenotype of patients with late-juvenile MLD varies widely [116]. In a study of descriptions given by caregivers of children with MLD (20 late-infantile, 11 juvenile, 1 borderline late-infantile/juvenile), coordination difficulties, clonus/tremors, and comprehension challenges were identified as the most common initial signs and symptoms of MLD, supporting their frequent documentation in this SLR [117]. The wide variation in signs, symptoms, and disease progression among patients with MLD, combined with the need for early diagnosis to facilitate prompt treatment initiation, mean that there is a need to be able to predict clinical subtype and disease progression, which some studies have begun to investigate [118, 119]. For example, data from a recent study suggest that early developmental delay can precede neurologic regression in patients with late-infantile MLD [120].

Available evidence shows that MLD has a clear impact on the QoL of patients and families, with patients being particularly affected by loss of autonomy and limited relationships with peers, and that caregivers were found to report high levels of anxiety and depression [77, 81]. Supporting this, in a recent study of caregivers of patients with late-infantile MLD, most felt that delaying the decline in gross motor function would have a meaningful impact on patients [121]. Overall, these findings highlight the need for psychological support for patients with MLD and their families.

Key knowledge gaps include data on mortality by clinical subtype, humanistic and economic outcomes, and differences between the early- and late-juvenile MLD subtypes. Since this SLR was conducted, an additional study on the impact of MLD on caregivers has been published [122]. In this study, the EQ-5D questionnaire was administered to caregivers of patients with MLD in Belgium, France, Germany, Norway, and the USA. In line with the findings from Pang et al. [77], caregivers had EQ-5D values below national population norms and reported high levels of anxiety/depression. Differences between caregivers of patients with late-infantile MLD compared with those of patients with juvenile MLD were also observed; the former group was more likely to report a negative impact on familial relationships, and the latter group reported more lifestyle changes and dissatisfaction with their personal lives [122].

In addition to the knowledge gaps described earlier, there were also insufficient epidemiological data to compare incidence and prevalence by country or region, in part owing to varying methodology and study periods between publications. Data on disease course, such as reports of signs and symptoms, were mainly qualitative, limiting the collation of data across studies. Improved reporting of quantitative data on signs and symptoms, such as measurements of ASA activity or biomarker levels, could help to facilitate predictions of the disease course and inform treatment decisions [118, 119].

The studies included in this SLR covered a broad geographical evidence base, and a substantial number of studies reported detailed baseline characteristics and outcomes separately for the different clinical subtypes of MLD. Quality assessment was performed using the ROBINS-I tool for non-randomized interventional clinical studies and informally for non-interventional studies. Limitations include those common among SLRs, such as the possibility that some relevant studies may not have been detected by the searches if they did not mention any terms of interest in their titles or abstracts; this limitation results from balancing the need to compromise between identifying all relevant evidence and limiting searches so that the scope of the review remains focused and manageable. Another limitation was that data in figures without detailed labeling could not be extracted in full, meaning that, for these, only trends could be determined.

MLD is a devastating disease that shortens life and reduces QoL, especially as the disease progresses. Further studies on clinical, humanistic, and economic outcomes, particularly by clinical subtype, will help to inform healthcare decisions for patients with MLD.

Supplementary Information

40001_2024_1771_MOESM1_ESM.docx (54.3KB, docx)

Additional file 1. Search strings for Embase (1974–2021 [search run on June 23, 2021]).

40001_2024_1771_MOESM2_ESM.docx (54.5KB, docx)

Additional file 2. Search strings for Ovid MEDLINE (1946–2021 [search run on June 23, 2021]).

40001_2024_1771_MOESM3_ESM.docx (54.1KB, docx)

Additional file 3. Search strings for Cochrane Library (search run on 23 June 2021).

Acknowledgements

The authors would like to thank Robert Walsh, Marta Radwan, and Caroline Freeman of Oxford PharmaGenesis, Oxford, UK for supporting the SLR process. Under the direction of the authors, medical writing support was provided by Rebecca Burge PhD of Oxford PharmaGenesis, Oxford, UK, and was funded by Takeda Development Center Americas, Inc.

Abbreviations

AE

Adverse event

ANA

American ARSA, arylsulfatase A gene

ASA

Arylsulfatase A

CI

Confidence interval

CRD

Centre for Reviews and Dissemination

CSF

Cerebrospinal fluid

ELFC-MLD

Expressive Language Function Classification in MLD

EQ-5D

EuroQol 5-dimension questionnaire

GMFC-MLD

Gross Motor Function Classification in MLD

GMFM-88

88-Item Gross Motor Function Measure

HRQoL

Health-related QoL

HSCT

Hematopoietic stem cell transplant

LQLA

Leukodystrophy Quality of Life Assessment

LSD

Lysosomal storage disease

MLD

Metachromatic leukodystrophy

MRI

Magnetic resonance imaging

MRS

Magnetic resonance spectroscopy

PedsQL

Pediatric Quality of Life Inventory

PICOS

Participants, Interventions, Comparators, Outcomes, and Study design

PRISMA

Preferred Reporting Items for Systematic review and Meta-Analysis

PSAP

Prosaposin

QoL

Quality of life

RCT

Randomized controlled trial

ROBINS-I

Risk Of Bias In Non-randomized Studies - of Interventions

SAPB

Sphingolipid activator protein B

SD

Standard deviation

SLR

Systematic literature review

TEAE

Treatment-emergent adverse event

TTO

Time trade-off

Author contributions

S-CC, CE, and PF designed, conducted, and analyzed the SLR and reviewed the manuscript.

Funding

This study was funded by Takeda Development Center Americas, Inc.

Availability of data and materials

Data sharing not applicable because no new data were generated.

Declarations

Ethics approval and consent to participate

No new ethics approval was needed to comply with ethical standards because no new data were generated. No new patient consent was needed because no new data were generated.

Consent for publication

Not applicable.

Competing interests

S-CC is an employee of Takeda Pharmaceutical Company Limited with ownership interest less than 5%. CE is an employee of Oxford PharmaGenesis Limited. PF is an employee of Oxford PharmaGenesis Limited with ownership interest less than 5%.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Shaimardanova AA, Chulpanova DS, Solovyeva VV, Mullagulova AI, Kitaeva KV, Allegrucci C, et al. Metachromatic leukodystrophy: diagnosis, modeling, and treatment approaches. Front Med (Lausanne) 2020;7:576221. doi: 10.3389/fmed.2020.576221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Gieselmann V, Krägeloh-Mann I, et al. Metachromatic leukodystrophy. In: Valle D, Beaudet AL, Vogelstein B, et al., editors. Scriver's online metabolic and molecular bases of inherited disease. New York: McGraw-Hill; 2018. [Google Scholar]
  • 3.Gieselmann V. Metachromatic leukodystrophy: genetics, pathogenesis and therapeutic options. Acta Paediatr. 2008;97(s457):15–21. doi: 10.1111/j.1651-2227.2008.00648.x. [DOI] [PubMed] [Google Scholar]
  • 4.van Rappard DF, Boelens JJ, Wolf NI. Metachromatic leukodystrophy: disease spectrum and approaches for treatment. Best Pract Res Clin Endocrinol Metab. 2015;29(2):261–273. doi: 10.1016/j.beem.2014.10.001. [DOI] [PubMed] [Google Scholar]
  • 5.Kehrer C, Elgun S, Raabe C, Bohringer J, Beck-Wodl S, Bevot A, et al. Association of age at onset and first symptoms with disease progression in patients with metachromatic leukodystrophy. Neurology. 2021;96(2):e255–e266. doi: 10.1212/WNL.0000000000011047. [DOI] [PubMed] [Google Scholar]
  • 6.Higgins J, Chandler J, Cumpston M, Li T, Page M, Welch V, et al. Cochrane handbook for systematic reviews of interventions. Cochrane. Published 2021. https://training.cochrane.org/handbook. Accessed 13 July 2022.
  • 7.Centre for Reviews and Dissemination (CRD), University of York. Systematic Reviews. CRD's guidance for undertaking reviews in health care. Published 2009. https://www.york.ac.uk/crd/SysRev/!SSL!/WebHelp/SysRev3.htm. Accessed 13 July 2022.
  • 8.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffman TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Artigalas O, Lagranha VL, Saraiva-Pereira ML, Burin MG, Lourenco CM, van der Linden JH, et al. Clinical and biochemical study of 29 Brazilian patients with metachromatic leukodystrophy. J Inherit Metab Dis. 2010;33(Suppl 3):S257–262. doi: 10.1007/s10545-010-9140-4. [DOI] [PubMed] [Google Scholar]
  • 10.Gustavson KH, Hagberg B. The incidence and genetics of metachromatic leucodystrophy in northern Sweden. Acta Paediatr Scand. 1971;60(5):585–590. doi: 10.1111/j.1651-2227.1971.tb06994.x. [DOI] [PubMed] [Google Scholar]
  • 11.Heim P, Claussen M, Hoffmann B, Conzelmann E, Gartner J, Harzer K, et al. Leukodystrophy incidence in Germany. Am J Med Genet. 1997;71(4):475–478. doi: 10.1002/(SICI)1096-8628(19970905)71:4&#x0003c;475::AID-AJMG20&#x0003e;3.0.CO;2-C. [DOI] [PubMed] [Google Scholar]
  • 12.Hult M, Darin N, Von Dobeln U, Mansson JE. Epidemiology of lysosomal storage diseases in Sweden. Acta Paediatr. 2014;103(12):1258–1263. doi: 10.1111/apa.12807. [DOI] [PubMed] [Google Scholar]
  • 13.Lugowska A, Poninska J, Krajewski P, Broda G, Ploski R. Population carrier rates of pathogenic ARSA gene mutations: is metachromatic leukodystrophy underdiagnosed? PLoS ONE. 2011;6(6):e20218. doi: 10.1371/journal.pone.0020218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Meikle PJ, Hopwood JJ, Clague AE, Carey WF. Prevalence of lysosomal storage disorders. JAMA. 1999;281(3):249–254. doi: 10.1001/jama.281.3.249. [DOI] [PubMed] [Google Scholar]
  • 15.Stellitano LA, Winstone AM, van der Knaap MS, Verity CM. Leukodystrophies and genetic leukoencephalopathies in childhood: a national epidemiological study. Dev Med Child Neurol. 2016;58(7):680–689. doi: 10.1111/dmcn.13027. [DOI] [PubMed] [Google Scholar]
  • 16.Koto Y, Sakai N, Lee Y, Kakee N, Matsuda J, Tsuboi K, et al. Prevalence of patients with lysosomal storage disorders and peroxisomal disorders: a nationwide survey in Japan. Mol Genet Metab. 2021;133(3):277–288. doi: 10.1016/j.ymgme.2021.05.004. [DOI] [PubMed] [Google Scholar]
  • 17.Poorthuis BJ, Wevers RA, Kleijer WJ, Groener JE, de Jong JG, van Weely S, et al. The frequency of lysosomal storage diseases in the Netherlands. Hum Genet. 1999;105(1–2):151–156. doi: 10.1007/s004399900075. [DOI] [PubMed] [Google Scholar]
  • 18.Nelson C, Srivastava R, Filloux FM, Bonkowsky JL. Inherited leukodystrophies: outcomes and establishment of a centralized database. Ann Neurol. 2009;1:S106–S107. [Google Scholar]
  • 19.Stellitano L, Verity C, Winstone A, Maw A, Van Der Knaap M. The leukoencephalopathies of childhood: an evolving national picture. Dev Med Child Neurol. 2011;53:11–12. [Google Scholar]
  • 20.Bonkowsky JL, Wilkes J, Ying J, Wei WQ. Novel and known morbidities of leukodystrophies identified using a phenome-wide association study. Neurol Clin Pract. 2020;10(5):406–414. doi: 10.1212/CPJ.0000000000000783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Holmes L, Cornes MJ, Foldi B, Miller F, Dabney K. Clinical epidemiologic characterization of orthopaedic and neurological manifestations in children with leukodystrophies. J Pediatr Orthop. 2011;31(5):587–593. doi: 10.1097/BPO.0b013e3182204930. [DOI] [PubMed] [Google Scholar]
  • 22.Alfadhel M, Almuqbil M, Al Mutairi F, Umair M, Almannai M, Alghamdi M, et al. The leukodystrophy spectrum in Saudi Arabia: epidemiological, clinical, radiological, and genetic data. Front Pediatr. 2021;9:633385. doi: 10.3389/fped.2021.633385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Verity C. The complex causes of progressive intellectual and neurological deterioration in UK children: findings of a prospective epidemiological study after almost 16 years of surveillance. Eur J Paediatr Neurol. 2013;17:S93. doi: 10.1016/S1090-3798(13)70325-8. [DOI] [Google Scholar]
  • 24.Saeed M, Rashid K, Al-Tala S, Qadir A. Clinical features and diagnosis of leukodystrophies. Pak Paediatr J. 2017;41(4):211–217. [Google Scholar]
  • 25.Richards J, Korgenski EK, Srivastava R, Bonkowsky JL. Costs of the diagnostic odyssey in children with inherited leukodystrophies. Neurology. 2015;85(13):1167–1170. doi: 10.1212/WNL.0000000000001974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Talbaoui H, Puech JP, Dahri S, Kriouile Y, Meskini T, Benouchane T, et al. Epidemiological study of lysosomal storage diseases in Morocco: experience of central laboratory of biochemistry in Rabat. J Inherit Metab Dis. 2013;36(2):S298. [Google Scholar]
  • 27.Singh A, Prasad R, Mishra OP. Spectrum of lysosomal storage disorders at tertiary centre: retrospective case-record analysis. J Pediatr Genet. 2020;9(2):87–92. doi: 10.1055/s-0039-3402070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Unal C, Ozkara HA, Tanacan A, Fadiloglu E, Lay I, Topcu M, et al. Prenatal enzymatic diagnosis of lysosomal storage diseases using cultured amniotic cells, uncultured chorionic villus samples, and fetal blood cells: Hacettepe experience. Prenat Diagn. 2019;39(12):1080–1085. doi: 10.1002/pd.5547. [DOI] [PubMed] [Google Scholar]
  • 29.Rebai I, Kraoua I, Drissi C, Benrhouma H, Klaa H, Rouissi A, et al. Leukoencephalopathies in inborn errors of metabolism: the Tunisian experience. J Neurol. 2014;261:S132. [Google Scholar]
  • 30.Al-Thihli K, Al-Murshedi F, Al-Hashmi N, Al-Mamari W, Islam MM, Al-Yahyaee SA. Consanguinity, endogamy and inborn errors of metabolism in Oman: a cross-sectional study. Hum Hered. 2014;77(1–4):183–188. doi: 10.1159/000362686. [DOI] [PubMed] [Google Scholar]
  • 31.Wadhwa A, Chen Y, Holmqvist A, Wu J, Ness E, Parman M, et al. Late mortality after allogeneic blood or marrow transplantation for inborn errors of metabolism: a report from the Blood or Marrow Transplant Survivor Study-2 (BMTSS-2) Biol Blood Marrow Transplant. 2019;25(2):328–334. doi: 10.1016/j.bbmt.2018.09.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Czartoryska B, Tylki-Szymanska A, Gorska D, Sawnor-Korszynska D. Lipidoses detected in Poland through 1993. Pediatr Neurol. 1994;11(4):295–297. doi: 10.1016/0887-8994(94)90004-3. [DOI] [PubMed] [Google Scholar]
  • 33.Balslev T, Cortez MA, Blaser SI, Haslam RHA. Recurrent seizures in metachromatic leukodystrophy. Pediatr Neurol. 1997;17(2):150–154. doi: 10.1016/S0887-8994(97)00077-5. [DOI] [PubMed] [Google Scholar]
  • 34.Bascou N, Poe M, Escolar M. Natural history of metachromatic leukodystrophy. J Inborn Errors Metab Screen. 2017;5:327–328. [Google Scholar]
  • 35.Bascou NA, Carson V, Safonova A, Poe MD, Escolar ML. A prospective natural history study of metachromatic leukodystrophy: a 20 year study. Mol Genet Metab. 2020;129(2):S26–S27. doi: 10.1016/j.ymgme.2019.11.040. [DOI] [Google Scholar]
  • 36.Beschle J, Doring M, Kehrer C, Raabe C, Bayha U, Strolin M, et al. Early clinical course after hematopoietic stem cell transplantation in children with juvenile metachromatic leukodystrophy. Mol Cell Pediatr. 2020;7(1):12. doi: 10.1186/s40348-020-00103-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Biffi A, Montini E, Lorioli L, Cesani M, Fumagalli F, Plati T, et al. Lentiviral hematopoietic stem cell gene therapy benefits metachromatic leukodystrophy. Science. 2013;341(6148):1233158. doi: 10.1126/science.1233158. [DOI] [PubMed] [Google Scholar]
  • 38.Bindu PS, Mahadevan A, Taly AB, Christopher R, Gayathri N, Shankar SK. Peripheral neuropathy in metachromatic leucodystrophy. A study of 40 cases from south India. J Neurol Neurosurg Psychiatry. 2005;76(12):1698–1701. doi: 10.1136/jnnp.2005.063776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Brown TM, Martin S, Fehnel SE, Deal LS. Development of the impact of juvenile metachromatic leukodystrophy on physical activities scale. J Patient Rep Outcomes. 2017;2(1):15. doi: 10.1186/s41687-018-0041-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Calbi V. Lentiviral haematopoietic stem cell gene therapy for metachromatic leukodystrophy: results in nine patients treated with a cryopreserved formulation of OTL-200. Mol Genet Metab. 2021;132:S21. doi: 10.1016/j.ymgme.2020.12.031. [DOI] [Google Scholar]
  • 41.Calbi V, Fumagalli F, Lorioli L, Sessa M, Bernardo ME, Cugnata F, et al. Update on safety and efficacy of lentiviral haematopoietic stem cell gene therapy (HSC-GT) for metachromatic leukodystrophy (MLD) Hum Gene Ther. 2017;28(12):A67. [Google Scholar]
  • 42.Chen X, Gill D, Shaw P, Ouvrier R, Troedson C. Outcome of early juvenile onset metachromatic leukodystrophy after unrelated cord blood transplantation: a case series and review of the literature. J Child Neurol. 2016;31(3):338–344. doi: 10.1177/0883073815595078. [DOI] [PubMed] [Google Scholar]
  • 43.Cohen L, Manin A, Medina N, Rodriguez-Quiroga S, Gonzalez-Moron D, Rosales J, et al. Argentinian clinical genomics in a leukodystrophies and genetic leukoencephalopathies cohort: diagnostic yield in our first 9 years. Ann Hum Genet. 2020;84(1):11–28. doi: 10.1111/ahg.12345. [DOI] [PubMed] [Google Scholar]
  • 44.Dali C, Sevin C, Krageloh-Mann I, Giugliani R, Sakai N, Wu J, et al. Safety of intrathecal delivery of recombinant human arylsulfatase A in children with metachromatic leukodystrophy: results from a phase 1/2 clinical trial. Mol Genet Metab. 2020;131(1–2):235–244. doi: 10.1016/j.ymgme.2020.07.002. [DOI] [PubMed] [Google Scholar]
  • 45.Elgun S, Waibel J, Kehrer C, Van Rappard D, Bohringer J, Beck-Wodl S, et al. Phenotypic variation between siblings with metachromatic leukodystrophy. Orphanet J Rare Dis. 2019;14(1):136. doi: 10.1186/s13023-019-1113-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ertugrul NGE, Pekgul F, Konuskan B, B. K, Cetinkaya DU, Topcu M, et al. Leukodystrophy and differential diagnosis of arylsulfatase deficiency. EPSN Conference abstract. 2019.
  • 47.Fumagalli F. Lentiviral hematopoietic stem and progenitor cell gene therapy provides durable clinical benefit in early-symptomatic early-juvenile metachromatic leukodystrophy. Mol Genet Metab. 2021;132:S40. doi: 10.1016/j.ymgme.2020.12.081. [DOI] [Google Scholar]
  • 48.Fumagalli F, Calbi V, Zambon A, Ciotti F, Lorioli L, Sessa M, et al. Update on safety and efficacy of lentiviral hematopoietic stem cell gene therapy (HSC-GT) for metachromatic leukodystrophy (MLD) Eur J Paediatr Neurol. 2017;21(Suppl 1):e20. doi: 10.1016/j.ejpn.2017.04.986. [DOI] [Google Scholar]
  • 49.Fumagalli F, Zambon AA, Rancoita PMV, Baldoli C, Canale S, Spiga I, et al. Metachromatic leukodystrophy: a single-center longitudinal study of 45 patients. J Inherit Metab Dis. 2021;44(5):1151–1164. doi: 10.1002/jimd.12388. [DOI] [PubMed] [Google Scholar]
  • 50.Groeschel S, Dali C, Clas P, Bohringer J, Duno M, Krarup C, et al. Cerebral gray and white matter changes and clinical course in metachromatic leukodystrophy. Neurology. 2012;79(16):1662–1670. doi: 10.1212/WNL.0b013e31826e9ad2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Groeschel S, Kehrer C, Engel C, Dali C, Bley A, Steinfeld R, et al. Metachromatic leukodystrophy: natural course of cerebral MRI changes in relation to clinical course. J Inherit Metab Dis. 2011;34(5):1095–1102. doi: 10.1007/s10545-011-9361-1. [DOI] [PubMed] [Google Scholar]
  • 52.Groeschel S, Kuhl JS, Bley AE, Kehrer C, Weschke B, Doring M, et al. Long-term outcome of allogeneic hematopoietic stem cell transplantation in patients with juvenile metachromatic leukodystrophy compared with non-transplanted control patients. JAMA Neurol. 2016;73(9):1133–1140. doi: 10.1001/jamaneurol.2016.2067. [DOI] [PubMed] [Google Scholar]
  • 53.Harrington M, Whalley D, Twiss J, Rushton R, Martin S, Huynh L, et al. Insights into the natural history of metachromatic leukodystrophy from interviews with caregivers. Orphanet J Rare Dis. 2019;14(1):89. doi: 10.1186/s13023-019-1060-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Dali C, Groeschel S, Moldovan M, Farah MH, Krageloh-Mann I, Wasilewski M, et al. Intravenous arylsulfatase A in metachromatic leukodystrophy: a phase 1/2 study. Ann Clin Transl Neurol. 2021;8(1):66–80. doi: 10.1002/acn3.51254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Jabbehdari S, Rahimian E, Jafari N, Sanii S, Khayatzadehkakhki S, Nejad BH. The clinical features and diagnosis of metachromatic leukodystrophy: a case series of Iranian pediatric patients. Iran J Child Neurol. 2015;9(3):57–61. [PMC free article] [PubMed] [Google Scholar]
  • 56.Kehrer C, Blumenstock G, Gieselmann V, Krageloh-Mann I. The natural course of gross motor deterioration in metachromatic leukodystrophy. Dev Med Child Neurol. 2011;53(9):850–855. doi: 10.1111/j.1469-8749.2011.04028.x. [DOI] [PubMed] [Google Scholar]
  • 57.Kehrer C, Groeschel S, Kustermann-Kuhn B, Burger F, Kohler W, Kohlschutter A, et al. Language and cognition in children with metachromatic leukodystrophy: onset and natural course in a nationwide cohort. Orphanet J Rare Dis. 2014;9:18. doi: 10.1186/1750-1172-9-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Kim TS, Kim IO, Kim WS, Choi YS, Lee JY, Kim OW, et al. MR of childhood metachromatic leukodystrophy. AJNR Am J Neuroradiol. 1997;18(4):733–738. [PMC free article] [PubMed] [Google Scholar]
  • 59.Kim TS, Kim IO, Kim WS, Choi YS, Yeon KM, Hwang YS. Involvement of the gallbladder in childhood metachromatic leukodystrophy: ultrasonographic findings. J Ultrasound Med. 1996;15(12):821–825. doi: 10.7863/jum.1996.15.12.821. [DOI] [PubMed] [Google Scholar]
  • 60.Krageloh-Mann I, Groeschel S, Kehrer C, Opherk K, Nagele T, Handgretinger R, et al. Juvenile metachromatic leukodystrophy 10 years post transplant compared with a non-transplanted cohort. Bone Marrow Transplant. 2013;48(3):369–375. doi: 10.1038/bmt.2012.155. [DOI] [PubMed] [Google Scholar]
  • 61.Liaw HR, Lee HF, Chi CS, Tsai CR. Late infantile metachromatic leukodystrophy: clinical manifestations of five Taiwanese patients and genetic features in Asia. Orphanet J Rare Dis. 2015;10(1):144. doi: 10.1186/s13023-015-0363-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Mahdieh N, Sharifi A, Rabbani A, Ashrafi M, Tavasoli AR, Badv RS, et al. Novel disease-causing variants in a cohort of Iranian patients with metachromatic leukodystrophy and in silico analysis of their pathogenicity. Clin Neurol Neurosurg. 2021;201:106448. doi: 10.1016/j.clineuro.2020.106448. [DOI] [PubMed] [Google Scholar]
  • 63.Mahmood A, Berry J, Wenger DA, Escolar M, Sobeih M, Raymond G, et al. Metachromatic leukodystrophy: a case of triplets with the late infantile variant and a systematic review of the literature. J Child Neurol. 2010;25(5):572–580. doi: 10.1177/0883073809341669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Nalini A, Christopher R. Cerebral glycolipidoses: clinical characteristics of 41 pediatric patients. J Child Neurol. 2004;19(6):447–452. doi: 10.1177/088307380401900610. [DOI] [PubMed] [Google Scholar]
  • 65.Raina A, Nair SS, Nagesh C, Thomas B, Nair M, Sundaram S. Electroneurography and advanced neuroimaging profile in pediatric-onset metachromatic leukodystrophy. J Pediatr Neurosci. 2019;14(2):70–75. doi: 10.4103/jpn.JPN_155_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Saute JAM, De Souza CFM, De Oliveira PF, Donis KC, Campos LG, Deyl AVS, et al. Neurological outcomes after hematopoietic stem cell transplantation for cerebral X-linked adrenoleukodystrophy, late onset metachromatic leukodystrophy and hurler syndrome. Arq Neuro-Psiquiatr. 2016;74(12):953–966. doi: 10.1590/0004-282x20160155. [DOI] [PubMed] [Google Scholar]
  • 67.Sessa M, Lorioli L, Fumagalli F, Acquati S, Redaelli D, Baldoli C, et al. Lentiviral haemopoietic stem-cell gene therapy in early-onset metachromatic leukodystrophy: an ad-hoc analysis of a non-randomised, open-label, phase 1/2 trial. Lancet. 2016;388(10043):476–487. doi: 10.1016/S0140-6736(16)30374-9. [DOI] [PubMed] [Google Scholar]
  • 68.Sevin C, Dali C, Giugliani R, Riethmuller J, Troedson C, Sakai N, et al. Intrathecal delivery of recombinant human arylsulfatase A in children with late-infantile metachromatic leukodystrophy: an update following extended treatment. Mol Genet Metab. 2017;120(1–2):S121. doi: 10.1016/j.ymgme.2016.11.314. [DOI] [Google Scholar]
  • 69.Solders M, Martin DA, Andersson C, Remberger M, Andersson T, Ringden O, et al. Hematopoietic SCT: a useful treatment for late metachromatic leukodystrophy. Bone Marrow Transplant. 2014;49(8):1046–1051. doi: 10.1038/bmt.2014.93. [DOI] [PubMed] [Google Scholar]
  • 70.Stillman AE, Krivit W, Shapiro E, Lockman L, Latchaw RE. Serial MR after bone marrow transplantation in two patients with metachromatic leukodystrophy. AJNR Am J Neuroradiol. 1994;15(10):1929–1932. [PMC free article] [PubMed] [Google Scholar]
  • 71.Strolin M, Krageloh-Mann I, Kehrer C, Wilke M, Groeschel S. Demyelination load as predictor for disease progression in juvenile metachromatic leukodystrophy. Ann Clin Transl Neurol. 2017;4(6):403–410. doi: 10.1002/acn3.420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Tillema JM, Derks MGM, Pouwels PJW, de Graaf P, van Rappard DF, Barkhof F, et al. Volumetric MRI data correlate to disease severity in metachromatic leukodystrophy. Ann Clin Transl Neurol. 2015;2(9):932–940. doi: 10.1002/acn3.232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.van der Veldt N, van Rappard DF, van de Pol LA, van der Knaap MS, van Ouwerkerk WJR, Becher JG, et al. Intrathecal baclofen in metachromatic leukodystrophy. Dev Med Child Neurol. 2019;61(2):232–235. doi: 10.1111/dmcn.13919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Zhang J, Ban T, Zhou L, Ji H, Yan H, Shi Z, et al. Epilepsy in children with leukodystrophies. J Neurol. 2020;267(9):2612–2618. doi: 10.1007/s00415-020-09889-y. [DOI] [PubMed] [Google Scholar]
  • 75.Beerepoot S, van Dooren SJM, Salomons GS, Boelens JJ, Jacobs EH, van der Knaap MS, et al. Metachromatic leukodystrophy genotypes in the Netherlands reveal novel pathogenic ARSA variants in non-Caucasian patients. Neurogenetics. 2020;21(4):289–299. doi: 10.1007/s10048-020-00621-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Biffi A, Cesani M, Fumagalli F, Del Carro U, Baldoli C, Canale S, et al. Metachromatic leukodystrophy - mutation analysis provides further evidence of genotype-phenotype correlation. Clin Genet. 2008;74(4):349–357. doi: 10.1111/j.1399-0004.2008.01058.x. [DOI] [PubMed] [Google Scholar]
  • 77.Pang F, Campbell L, Howie K, Wilds A, Calcagni C, Walz M. Quality of life of patients with metachromatic leukodystrophy and their caregivers in the US, UK, Germany and France. Mol Genet Metab. 2021;132(2):S81. [Google Scholar]
  • 78.Beerepoot S, van der Knaap MS, Boelens J, Lindemans CA, Bugiani M, Wolf NI. Progressive demyelinating neuropathy after hematopoietic cell transplantation in metachromatic leukodystrophy: a case series. EPSN Conference abstract. 2019. [DOI] [PMC free article] [PubMed]
  • 79.Boucher AA, Miller W, Shanley R, Ziegler R, Lund T, Raymond G, et al. Long-term outcomes after allogeneic hematopoietic stem cell transplantation for metachromatic leukodystrophy: the largest single-institution cohort report. Orphanet J Rare Dis. 2015;10(1):94. doi: 10.1186/s13023-015-0313-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Cable C, Finkel RS, Lehky TJ, Biassou NM, Wiggs EA, Bunin N, et al. Unrelated umbilical cord blood transplant for juvenile metachromatic leukodystrophy: a 5-year follow-up in three affected siblings. Mol Genet Metab. 2011;102(2):207–209. doi: 10.1016/j.ymgme.2010.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Eichler FS, Cox TM, Crombez E, Dali CI, Kohlschutter A. Metachromatic leukodystrophy: an assessment of disease burden. J Child Neurol. 2016;31(13):1457–1463. doi: 10.1177/0883073816656401. [DOI] [PubMed] [Google Scholar]
  • 82.Jones S, Davison J, Mooney P, Campbell L, Baldock L, Wallington M, et al. Demographic and clinical characteristics of patients with metachromatic leukodystrophy in the United Kingdom: interim results from an observational real-world study. Mol Genet Metab. 2021;132(2):S53. doi: 10.1016/j.ymgme.2020.12.116. [DOI] [Google Scholar]
  • 83.Martin HR, Poe MD, Provenzale JM, Kurtzberg J, Mendizabal A, Escolar ML. Neurodevelopmental outcomes of umbilical cord blood transplantation in metachromatic leukodystrophy. Biol Blood Marrow Transplant. 2013;19(4):616–624. doi: 10.1016/j.bbmt.2013.01.010. [DOI] [PubMed] [Google Scholar]
  • 84.Narayanan DL, Matta D, Gupta N, Kabra M, Ranganath P, Aggarwal S, et al. Spectrum of ARSA variations in Asian Indian patients with Arylsulfatase A deficient metachromatic leukodystrophy. J Hum Genet. 2019;64(4):323–331. doi: 10.1038/s10038-019-0560-1. [DOI] [PubMed] [Google Scholar]
  • 85.Ammann-Schnell L, Groeschel S, Kehrer C, Frolich S, Krageloh-Mann I. The impact of severe rare chronic neurological disease in childhood on the quality of life of families-a study on MLD and PCH2. Orphanet J Rare Dis. 2021;16(1):211. doi: 10.1186/s13023-021-01828-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Carson VJ, Poe MD, Escolar ML. Natural history of metachromatic leukodystrophy. Ann Neurol. 2015;78:S192. [Google Scholar]
  • 87.Van Rappard DF, Klauser A, Steenweg ME, Boelens JJ, Bugiani M, Van Der Knaap MS, et al. Quantitative MR spectroscopic imaging in metachromatic leukodystrophy: value for prognosis and treatment. J Neurol Neurosurg Psychiatry. 2018;89(1):105–111. doi: 10.1136/jnnp-2017-316364. [DOI] [PubMed] [Google Scholar]
  • 88.Assadi M, Wang DJ, Anderson K, Carran M, Bilaniuk L, Leone P. Vitamin K antagonist warfarin for palliative treatment of metachromatic leukodystrophy, a compassionate study of four subjects. J Cent Syst Dis. 2012;4:73–79. doi: 10.4137/JCNSD.S9355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Galla D, De Gemmis P, Anesi L, Berto S, Dolcetta D, Hladnik U. An Italian cohort study identifies four new pathologic mutations in the ARSA gene. J Mol Neurosci. 2013;50(2):284–290. doi: 10.1007/s12031-013-0006-8. [DOI] [PubMed] [Google Scholar]
  • 90.Lugowska A, Amaral O, Berger J, Berna L, Bosshard NU, Chabas A, et al. Mutations c.459+1G>A and p.P426L in the ARSA gene: prevalence in metachromatic leukodystrophy patients from European countries. Mol Genet Metab. 2005;86(3):353–359. doi: 10.1016/j.ymgme.2005.07.010. [DOI] [PubMed] [Google Scholar]
  • 91.Tan MA, Fuller M, Zabidi-Hussin ZA, Hopwood JJ, Meikle PJ. Biochemical profiling to predict disease severity in metachromatic leukodystrophy. Mol Genet Metab. 2010;99(2):142–148. doi: 10.1016/j.ymgme.2009.09.006. [DOI] [PubMed] [Google Scholar]
  • 92.Yilmaz BS, Kilavuz S, Bulut FD, Kor D, Herguner O, Akbal M, et al. The clinical features and diagnosis of metachromatic leukodystrophy: a case series of Turkish pediatric patients with three novel mutations. J Inborn Errors Metab Screen. 2017;5:347–348. [Google Scholar]
  • 93.Lugowska A, Tylki-Szymanska A, Berger J, Molzer B. Elevated sulfatide excretion in compound heterozygotes of metachromatic leukodystrophy and ASA-pseudodeficiency allele. Clin Biochem. 1997;30(4):325–331. doi: 10.1016/S0009-9120(97)00033-7. [DOI] [PubMed] [Google Scholar]
  • 94.Zlotogora J, Grotto I, Kaliner E, Gamzu R. The Israeli national population program of genetic carrier screening for reproductive purposes. Genet Med. 2016;18(2):203–206. doi: 10.1038/gim.2015.55. [DOI] [PubMed] [Google Scholar]
  • 95.Eichler F, Grodd W, Grant E, Sessa M, Biffi A, Bley A, et al. Metachromatic leukodystrophy: a scoring system for brain MR imaging observations. AJNR Am J Neuroradiol. 2009;30(10):1893–1897. doi: 10.3174/ajnr.A1739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Verma PK, Ranganath P, Dalal AB, Phadke SR. Spectrum of lysosomal storage disorders at a medical genetics center in Northern India. Indian Pediatr. 2012;49(10):799–804. doi: 10.1007/s13312-012-0192-4. [DOI] [PubMed] [Google Scholar]
  • 97.Kehrer C, Blumenstock G, Raabe C, Krageloh-Mann I. Development and reliability of a classification system for gross motor function in children with metachromatic leucodystrophy. Dev Med Child Neurol. 2011;53(2):156–160. doi: 10.1111/j.1469-8749.2010.03821.x. [DOI] [PubMed] [Google Scholar]
  • 98.Kim J, Sun Z, Ezekian B, Schooler GR, Prasad VK, Kurtzberg J, et al. Gallbladder abnormalities in children with metachromatic leukodystrophy. J Surg Res. 2017;208:187–191. doi: 10.1016/j.jss.2016.08.081. [DOI] [PubMed] [Google Scholar]
  • 99.Lorioli L, Cicalese MP, Silvani P, Assanelli A, Salvo I, Mandelli A, et al. Abnormalities of acid-base balance and predisposition to metabolic acidosis in metachromatic leukodystrophy patients. Mol Genet Metab. 2015;115(1):48–52. doi: 10.1016/j.ymgme.2015.02.009. [DOI] [PubMed] [Google Scholar]
  • 100.Van Den Broek BA, Page K, Paviglianiti A, Hol J, Allewelt H, Volt F, et al. Early and late outcomes after cord blood transplantation for pediatric patients with inherited leukodystrophies. Blood Adv. 2018;2(1):49–60. doi: 10.1182/bloodadvances.2017010645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.van Rappard DF, Boelens JJ, van Egmond ME, Kuball J, van Hasselt PM, Oostrom KJ, et al. Efficacy of hematopoietic cell transplantation in metachromatic leukodystrophy: the Dutch experience. Blood. 2016;127(24):3098–3101. doi: 10.1182/blood-2016-03-708479. [DOI] [PubMed] [Google Scholar]
  • 102.Verma IC, Saxena R, Lall M, Bijarnia S, Sharma R. Genetic counseling and prenatal diagnosis in India: experience at Sir Ganga Ram Hospital. Indian J Pediatr. 2003;70(4):293–297. doi: 10.1007/BF02723582. [DOI] [PubMed] [Google Scholar]
  • 103.Zlotogora J, Costeff H, Elian E. Early motor development in metachromatic leucodystrophy. Arch Dis Child. 1981;56(4):309. doi: 10.1136/adc.56.4.309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Martin A, Sevin C, Lazarus C, Bellesme C, Aubourg P, Adamsbaum C. Toward a better understanding of brain lesions during metachromatic leukodystrophy evolution. AJNR Am J Neuroradiol. 2012;33(9):1731–1739. doi: 10.3174/ajnr.A3038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Pang F, DeFreitas H, Lloyd A, Olaye A, Nafees B. Health-related quality of life in metachromatic leukodystrophy based on a societal utility study in the UK. Mol Genet Metab. 2021;132(2):S81–S82. [Google Scholar]
  • 106.Augustovski F, Rey-Ares L, Irazola V, Oppe M, Devlin NJ. Lead versus lag-time trade-off variants: does it make any difference? Eur J Health Econ. 2013;14(Suppl 1):S25–31. doi: 10.1007/s10198-013-0505-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Cross EM, Hare DJ. Behavioural phenotypes of the mucopolysaccharide disorders: a systematic literature review of cognitive, motor, social, linguistic and behavioural presentation in the MPS disorders. J Inherit Metab Dis. 2013;36(2):189–200. doi: 10.1007/s10545-012-9572-0. [DOI] [PubMed] [Google Scholar]
  • 108.Koracin V, Loeber JG, Mlinaric M, Battelino T, Bonham JR, Groselj U, et al. Global impact of COVID-19 on newborn screening programmes. BMJ Glob Health. 2022;7(3):e007780. doi: 10.1136/bmjgh-2021-007780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Gonzalez-Irazabal Y, Hernandez de Abajo G, Martinez-Morillo E. Identifying and overcoming barriers to harmonize newborn screening programs through consensus strategies. Crit Rev Clin Lab Sci. 2021;58(1):29–48. doi: 10.1080/10408363.2020.1781778. [DOI] [PubMed] [Google Scholar]
  • 110.Xu A, Ganapathy V, Morain SR. Delay in state adoption of newborn screening tests. Pediatrics. 2018;141(1):e20170300. doi: 10.1542/peds.2017-0300. [DOI] [PubMed] [Google Scholar]
  • 111.Morton G, Thomas S, Roberts P, Clark V, Imrie J, Morrison A. The importance of early diagnosis and views on newborn screening in metachromatic leukodystrophy: results of a Caregiver Survey in the UK and Republic of Ireland. Orphanet J Rare Dis. 2022;17(1):403. doi: 10.1186/s13023-022-02550-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Gelb M, Wasserstein M, Orsini J, Oliva P, Mechtler T, Brown H, et al. Newborn screening for metachromatic leukodystrophy (MLD): an overview of ongoing and future studies. Mol Genet Metab. 2023;138(2):107111. doi: 10.1016/j.ymgme.2022.107111. [DOI] [Google Scholar]
  • 113.Orchard Therapeutics receives EC approval for Libmeldy™ for the treatment of early-onset metachromatic leukodystrophy (MLD). Orchard Therapeutics. Published 2020. https://ir.orchard-tx.com/news-releases/news-release-details/orchard-therapeutics-receives-ec-approval-libmeldytm-treatment. Accessed 30 Sep 2022.
  • 114.Orchard Therapeutics announces historic agreement making Libmeldy available by NHS England for MLD patients. Orchard Therapeutics. Published 2022. https://ir.orchard-tx.com/news-releases/news-release-details/orchard-therapeutics-announces-historic-agreement-making. Accessed 30 Sep 2022.
  • 115.European Medicines Agency. Libmeldy summary of product characteristics. Published 2021. https://www.ema.europa.eu/en/documents/product-information/libmeldy-epar-product-information_en.pdf. Accessed 30 Sep 2022.
  • 116.Schoenmakers DH, Beerepoot S, Krageloh-Mann I, Elgun S, Bender B, van der Knaap MS, et al. Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy. Ann Clin Transl Neurol. 2022;9(12):1999–2009. doi: 10.1002/acn3.51692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Eichler F, Sevin C, Barth M, Pang F, Howie K, Walz M, et al. Understanding caregiver descriptions of initial signs and symptoms to improve diagnosis of metachromatic leukodystrophy. Orphanet J Rare Dis. 2022;17(1):370. doi: 10.1186/s13023-022-02518-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Santhanakumaran V, Groeschel S, Harzer K, Kehrer C, Elgun S, Beck-Wodl S, et al. Predicting clinical phenotypes of metachromatic leukodystrophy based on the arylsulfatase A activity and the ARSA genotype? - Chances and challenges. Mol Genet Metab. 2022;137(3):273–282. doi: 10.1016/j.ymgme.2022.09.009. [DOI] [PubMed] [Google Scholar]
  • 119.Beerepoot S, Heijst H, Roos B, Wamelink MMC, Boelens JJ, Lindemans CA, et al. Neurofilament light chain and glial fibrillary acidic protein levels in metachromatic leukodystrophy. Brain. 2022;145(1):105–118. doi: 10.1093/brain/awab304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Adang L, Groeschel S, Grzyb C, Eichler F, Fraser J, Emrick L, et al. Developmental delay can precede neurologic regression in metachromatic leukodystrophy. Mol Genet Metab. 2023;138(2):106989. doi: 10.1016/j.ymgme.2022.106989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Martin S, Harris M, Romanus D. Evaluating meaningful changes in physical functioning and cognitive declines in metachromatic leukodystrophy: caregiver perspectives. J Patient Rep Outcomes. 2023 doi: 10.1186/s41687-023-00595-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Sevin C, Barth M, Wilds A, Afriyie A, Walz M, Dillon A, et al. An international study of caregiver-reported burden and quality of life in metachromatic leukodystrophy. Orphanet J Rare Dis. 2022;17(1):329. doi: 10.1186/s13023-022-02501-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Bonkowsky JL, Wilkes J, Bardsley T, Urbik VM, Stoddard G. Association of diagnosis of leukodystrophy with race and ethnicity among pediatric and adolescent patients. JAMA Netw Open. 2018;1(7):e185031. doi: 10.1001/jamanetworkopen.2018.5031. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

40001_2024_1771_MOESM1_ESM.docx (54.3KB, docx)

Additional file 1. Search strings for Embase (1974–2021 [search run on June 23, 2021]).

40001_2024_1771_MOESM2_ESM.docx (54.5KB, docx)

Additional file 2. Search strings for Ovid MEDLINE (1946–2021 [search run on June 23, 2021]).

40001_2024_1771_MOESM3_ESM.docx (54.1KB, docx)

Additional file 3. Search strings for Cochrane Library (search run on 23 June 2021).

Data Availability Statement

Data sharing not applicable because no new data were generated.


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