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DOI: 10.1055/a-2708-3016
Exploring Secondary Biotinidase Deficiency and Biotin Supplementation in PMM2-CDG
Authors
Funding Information C.T. and N.H. were supported by the Deutsche Forschungsgemeinschaft (FOR2509: TH1461/7-2) and the European Commission (E-Rare-3 Joint Transnational Call 2018/EUROGLYCAN-omics).
Abstract
Background
The congenital disorders of glycosylation (CDG) encompass >190 multiorgan disorders with predominantly neurodevelopmental phenotypes with no causative treatment available. The glycoprotein biotinidase (BTD) provides biotin, an essential cofactor for carboxylases in ubiquitous metabolic pathways. Individuals with (partial) BTD deficiency (BTDD) and CDG patients show overlapping phenotypes like movement disorders, seizures, and neurodevelopmental issues. Biotin is a water-soluble, inexpensive, and safe food supplement. Patients with primary BTDD respond well to oral biotin supplement. We here explore secondary BTDD and the effect of biotin supplementation in PMM2-CDG in an initial open-label study.
Methods
BTD activity in dried blood spots from 29 individuals with PMM2-CDG indicated a mean reduction to 27% (range: 23.0–40.5%) at group level. Patients (mean: 19.6 ± 11.9 years) were supplemented with 10 mg biotin daily for 12 months. The parents/caretaker reported positive responses in 62 to 69% of patients across seven (performance, social, at home, self-control, self-care, leisure, health) of the nine categories covered by the Adaptive Behavior Assessment System-II (ABAS-II) questionnaires. The reported positive effect of biotin supplementation differed between age groups, ranging from 54% (16–43 years) via 62% (2–5 years) to 80% (6–13 years). Its effect was reported to be the highest in the moderate to severely affected patient subgroups, with significant improvements in home functioning, health, performance, leisure, self-control. No adverse effects were reported.
Conclusion
Given the absence of other treatments, the supportive effect of Biotin in PMM2-CDG deserves further exploration.
Keywords
congenital disorders of glycosylation - therapy - vitamin H - biotinidase deficiency - treatment - seizures - movement disorder - rare diseaseSynopsis
Biotin supplementation benefits PMM2-CDG patients.
Introduction
Congenital disorders of glycosylation (CDGs) are a group of >190 inborn metabolic disorders (IMDs) that affect the modification of glycoproteins and lipids with monosaccharides or complex sugar moieties (ORPHA:137). Due to the importance of glycosylation for all cell biological processes from fertilization to adulthood, CDG regularly expresses as a multiorgan disease, with a markedness dominance to central nervous system (CNS)-related phenotypes, like movement disorders, seizures, and neurodevelopmental issues. Patients present with a huge variability of phenotypes and no clear genotype–phenotype correlation can be drawn.[1]
No causative treatments are available and supportive treatment options have so far only been reported for a handful CDG types. These include the administration of oligosaccharides such as mannose, fucose, and galactose, the trace element manganese[2] [3] [4] or the repurposing of acetazolamide to reduce ataxia in PMM2-CDG.[5]
Biotin (vitamin B7 or vitamin H) is a water-soluble vitamin from the B vitamins and an essential nutrient for plenty organisms from bacteria to men. Biotin acts as prosthetic group required for the activity of the carboxylases.[6] The key tasks of biotinylated carboxylases in metabolism are related to the utilization of fats, carbohydrates, and amino acids and are as diverse as essential ([Fig. 1A]). The pyruvate carboxylase provides oxaloacetate for the citric acid cycle, gluconeogenesis, lipogenesis, and the biosynthesis of neurotransmitters. The propionyl-CoA carboxylase metabolizes amino acids and odd-chain or branched-chain fatty acids, the methylcrotonoyl-CoA carboxylase in turn metabolizes leucine and the acetyl-CoA carboxylase is involved in lipogenesis. Since biotin-auxotroph organisms have lost the ability of biotin biosynthesis, biotin must be obtained through dietary intake (e.g., liver, peanuts and walnuts, sunflower seeds, eggs, soybeans, oatmeal, and mushrooms) or by biotin salvage from proteins as part of proteolysis. Hereby, BTD is the key enzyme for the release of the vitamin from biocytin.[7] The human 56.8 kDa BTD (NM_001281723, NP_001394295.1) is a cytosolic glycoprotein and is mainly found in serum, liver, and kidney. The protein has six potential N-glycosylation sites and two potential sites for core 1 mucin-type O-glycans, leading to an overall mass of this glycoprotein of approximately 72 kDa. The extent to which N- and O-glycosylation contributes to the activity of the enzyme has not yet been conclusively clarified. In individuals with BTD deficiency (BTDD), impaired enzyme activity leads to reduced biotin recycling and thus to secondary biotin deficiency. Partial BTDD is defined as BTD activity between 10 and 30% of the mean normal activity and profound BTDD as activity below 10% of the mean normal activity.[8]


If left untreated, BTDD leads to a spectrum of CNS abnormalities (seizures, muscular hypotonia, developmental delay, ataxia), dermatologic findings (as rash, alopecia, dermatitis/eczema, hair loss, dry skin), ophthalmologic findings (like vision loss, optic atrophy, conjunctivitis), and audiological abnormalities (OMIM* 609019, MIM# 253260). The severity of BTDD can range from asymptomatic to severe and largely correlates with the residual enzyme activity.[9] Daily oral supplementation of 5 to 10 mg biotin is a very effective treatment without known side effects[7] [10] [11] [12] and can mitigate potential long-term neurological damage or even prevent the onset of symptoms, leading to inclusion of BTDD into newborn screening programs worldwide.[7]
Although BTDD and CDG are caused by different pathomechanisms, they share the common phenotypic endpoint of multisystem disorders with prominent CNS involvement. Based on our recent observations of decreased BTD activity in CDG individuals derived skin fibroblasts[13] ([Fig. 1B]), we hypothesize that hypoglycosylation of BTD leads to a secondary BTDD in CDG. This might contribute to the clinical symptoms of CDG patients, and consequently, biotin supplementation could be beneficial ([Fig. 1D]). We here explore secondary BTDD and the effect of biotin supplementation in PMM2-CDG.
Methods
Ethics Approval and Patient Consent Statement
This work was performed in accordance with the Declaration of Helsinki. Informed consent for experimental procedures and publication was obtained from the participants, parents, or legal representatives.
Recruitment, Inclusion, and Exclusion Criteria
Recruitment was conducted through online information sessions offered to the German Glycokids e.V. Patients of all ages fulfilling the inclusion criterium of a genetically confirmed PMM2-CDG defect were invited to participate. Patients already participating in other treatment studies, those who initiated additional treatment studies, as well as patients with significant changes in medication were excluded.
Phenotypic Subgroups
Patients were evaluated using the “Nijmegen CDG rating scale”[14] (NCRS) or were assessed by their treating physician experienced in CDG and classified as mildly (S), moderately (M), or severely (L) affected.
Determination of Biotinidase Activity
Biotinidase activity from dried blood spots of 29 individuals with PMM2-CDG was determined as described previously.[13] [15]
Oral Biotin Supplementation
All patients took a single dose of 10 mg of oral biotin daily ([Supplementary Fig. S1A–D], available in online version only).
Outcome Measures
This study was conducted during the pandemic, and therefore, direct assessment by the treating physician was not possible. We therefore asked patients or caretakers to complete the Adaptive Behavior Assessment System II (ABAS-II) questionnaires (ABAS-II parent/primary caregiver questionnaires)[16] before start (t1) and after 12 months of biotin supplementation (t2). ABAS-II was validated as a supplementary method for clinical follow-up and for research on functional status involving infants, children, and adults with IMDs. Thus, ABAS-II may assist the clinicians in the regular follow-up for metabolic disorders to monitor therapy effectiveness and disease progression.[17] The ABAS-II checklist provides scores based on age-related norms for conceptual, social, and practical skills of individuals between 0 and 89 years, addressing both cognitive and behavioral features. It includes subscales for communication, community use, functional academics, home living, health and safety, leisure, self-care, self-direction, and social competence/skills. Items are rated on a scale from 0 (Is Not Able) to 3 (Always/Almost Always). Biotin effectiveness was evaluated considering changes for each category in three study age groups: preschool (≤ 5 years); school-aged (6–15 years); and adulthood (≥16 years). We considered (1) all positive and negative scores changes for categories for each age group and evaluated statistically significant variations; (2) average increase for all categories in each age group; (3) the overall increase of treated cohort for each category; (4) the number of patients that reported improvement (positive response when >50%) for category in the entire treated sample and for each age group. Finally, we evaluated (5) the possible impact of baseline disease severity in promoting biotin response.
Additionally, the participants were asked to note further observations occurring under biotin supplementation, which were not addressed in the ABAS-II questionnaires.
Statistics
Statistical programming language R (version 4.4.0) was used for data analysis. The subscales of the ABAS-II questionnaires have different numbers of questions. To make the subscales comparable with each other, all answers were standardized by a min–max transformation between 0 and 100. Paired Wilcoxon tests were used to determine changes in medians from t1 (before biotin administration) to t2 (after biotin administration) for each subscale and across age groups. Because of the exploratory nature of this study, we have not corrected p-values in multiple comparisons.
Results
Biotinidase Activity in Dried Blood Spots
Medium enzyme activity in 29 individuals was reduced to 27% (range: 14.4–42.5%; reference range: 30–100%). All 29 patients showed a decreased BTD activity, of which 25 out of 29 cases (86.2%) presented even a partial BTDD ([Fig. 1C]).
Patient Cohort
A total of 29 PMM2-CDG individuals (17 males, 12 females; mean age 19.6 ± 11.9 years; [Supplementary Fig. S1], available in online version only) met the inclusion/exclusion criteria and were classified as mildly (S, n = 6), moderately (M, n = 14), and severely (L, n = 9) affected.
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Age group-specific score changes in categories
In general, more effects of the biotin supplementation were reported in school-aged and adult participants. ([Fig. 2A], [Supplementary Table S1A] [available in online version only]). For school-aged children, parents saw the greatest benefits in “Leisure” (+18.9) and “Social” (+14.5), however, no category reached full significance. Adults experienced significant improvements in “At home” (+1.5, p = 0.05), “Self-control” (+8.0, p = 0.0353), and “Social” (+10.2, p = 0.0230), with additional near-significant changes in “Health” (+6.7, p = 0.0878) and “Society” (+5.6, p = 0.0877). By contrast, for the preschool group mixed results were reported, with gains in “Social” (+2.78, p approaching significance) and notable declines in “Health” (−12.5).
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Overall score changes by age group
When aggregated across all categories ([Fig. 2B], [Supplementary Table S1B] [available in online version only]), for the adult group the greatest overall increase was mentioned, with an average improvement of +5.97 points and a p-value approaching significance (p = 0.0526). For children aged 6 to 15 years, the average improvement stated was more modest at +3.03 points but statistically significant (p = 0.0447). In contrast, for the youngest participants (0–5 years) parents noted an average decline of −1.33 points, with no significant effects (p = 0.6476).
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Category-specific score changes across all age groups
Significant improvements were reported in several categories following biotin supplementation ([Fig. 2C], [Supplementary Table S1C] [available in online version only]). For the subcategory “At home” a slight but statistically significant improvement (+0.33, p = 0.0034) was stated, whereas “Leisure” saw the most pronounced median change (+11.13, p = 0.0335) noted. “Health” outcomes were also described to have significantly improved (+10.0, p = 0.0409), as did “Self-control” (+6.67, p = 0.0086), “Social” interactions (+8.69, p = 0.0246), and “Society” (+4.55, p = 0.0255). For other domains such as “Performance” (−4.35, p = 0.0138) statistically significant decline.
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General and age-dependent improvements by category
For the majority of participants, improvements of 62 to 69% in seven out of nine categories ([Fig. 3A]) were reported. The greatest changes were stated in “Performance” (69%) and “Social” (65.5%). Significant improvements were also mentioned in “At home” (65.5%) and “Self-control” (62.1%). Concerning age, for school-age children, the most beneficial overall responses were described, with 80% improvement across categories ([Fig. 3B]) and positive values of 60 to 100% in all the nine categories ([Fig. 3C], middle). For the youngest group, 62.2% overall positive changes ([Fig. 3B]) were reported as well as positive values between 60 and 80% in seven out of nine categories but without significant gains ([Fig. 3C], left). In contrast, for adult participants, 54.4% positive changes were mentioned ([Fig. 3B]). Regarding the different categories, positive gains between 52.6 and 63.2% were stated in seven out of nine categories ([Fig. 3C], right).
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Age-independent improvements by severity of condition
By further break down the data concerning age and severity, for the severely affected group (L) ([Fig. 4], top; [Supplementary Table S2] [available in online version only]) significant improvements in leisure activities (p = 0.02997), suggesting better engagement in recreational tasks, and in self-control (p = 0.03461), indicating potential behavioral regulation benefits were reported. For the moderately affected group (M) ([Fig. 4], middle; [Supplementary Table S2] [available in online version only]), the most pronounced improvement was reported for home functioning (p = 0.0068), followed by health status (p = 0.0329) and performance-related tasks (p = 0.0392). In the mildly affected group (S) ([Fig. 4], bottom; [Supplementary Table S2] [available in online version only]), no significant improvements were reported.
Of note, the number of participants per age group and severity level was not sufficient to draw statistically sound conclusions about which combination of age and severity level would benefit most from biotin administration ([Supplementary Fig. S2], [Supplementary Table S3] [available in online version only]).
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Participants' own observations while taking biotin
Beyond the ABAS-II questionnaires, we inquired about additional changes observed by patients or caregivers ([Supplementary Fig. S3] [available in online version only]). The most frequently reported improvement was cognitive function, noted in 19/29 (66%) of participants, including enhanced memory, concentration, attention, and overall activity levels, possibly reflecting increased cognitive engagement and energy. Speech and language improvements, such as better vocabulary and grammar, were reported in 7/29 (24%). General health benefits, including reduced skin inflammation, hair regrowth, and fewer inflammatory bowel disease flare-ups, were observed in 6/29 (21%). Similarly, 6/29 (21%) noted enhanced motor skills, such as improved coordination and fluidity of movement. Mood and behavior improved in 5/29 (17%), with reduced irritability and greater engagement in activities. Tremor and ataxia reduction, indicating better motor control, was reported in 4/29 (14%), as were improved sleep patterns and reduced fatigue. Additionally, 3/29 (10%) experienced better ocular function with less squinting. Notably, most improvements emerged within the first 2 to 12 weeks of biotin intake.
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Participants with CDG defects other than PMM2-CDG
Although this study focused on individuals with PMM2-CDG, we also aim to demonstrate that biotin supplementation was administered to fourteen non-PMM2-CDG patients, with seven cases each of CDG-I and CDG-II ([Supplementary Fig. S4], left [available in online version only]). The treatment resulted in a positive outcome in six out of the nine tested categories of the ABAS-II questionnaire, reaching or exceeding a 50% improvement threshold ([Supplementary Fig. S4], right [available in online version only]).
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Adverse effects
The inquiry regarding adverse events or side effects did not reveal any abnormalities in any of the participants.






Discussion
Therapeutic options for CDG remain scarce and are currently available for only a limited number of CDG subtypes. In our initial observations, we found that patients with PMM2-CDG exhibit generally reduced activity of the glycoprotein biotinidase (BTD), which carries up to six N-glycans and two core-1 mucin-type O-glycans.[18] Although not the primary focus of this manuscript, we emphasize that the expression of human BTD with mutated N- and O-glycosylation sites in HEK293 cells led to significantly reduced protein levels and enzymatic activity (unpublished laboratory data, Thiel group), indicating that hypoglycosylation has a secondary effect on BTD function in PMM2-CDG. Given that BTDD shares clinical features with CDG,[12] [19] we explored whether oral biotin supplementation could alleviate symptoms in PMM2-CDG patients.
Biotin supplementation has been associated with improvements in seven out of nine functional categories, with positive changes observed in 62 to 69% of participants. The most pronounced benefits were noted in school-aged children (6–15 years), where 80% of participants demonstrated improvements across multiple domains, particularly in social interactions and leisure activities. Adults also experienced significant gains, particularly in self-control and social functioning, whereas the youngest age group (0–5 years) exhibited mixed effects, with some improvements but also a decline in health scores. Regarding symptom severity, patients with moderate symptoms showed the most substantial benefits, particularly in-home functioning, health, and performance. Severely affected individuals experienced the greatest improvements in leisure activities and self-control, whereas those with mild symptoms exhibited no significant changes. These findings indicate that the response to biotin varies by age and symptom severity. However, given the limited number of participants in certain subgroups, further studies are required to refine the understanding of age- and severity-specific treatment effects. Patients also reported several subjective improvements beyond those captured in structured questionnaires, with the majority noticing benefits within the first 2 to 12 weeks of biotin therapy. A significantly increased cognitive engagement in daily activities was particularly noticeable, alongside improvements in various health parameters, such as enhanced skin and hair condition and a reduction in gastrointestinal issues. Additionally, some patients exhibited a reduction in tremors, with one patient even experiencing a complete disappearance of symptoms under biotin supplementation. Nevertheless, it is essential to interpret the observed effects of biotin supplementation in the context of the natural course of PMM2-CDG in which slow, heterogeneous, and often modest clinical progression can be observed. In addition to spontaneous biochemical improvements in blood markers such as CDT, aPTT, Factor XI, antithrombin III, protein C, AST, and ALT, which were not the focus of this study, longitudinal investigations have demonstrated that some patients may experience spontaneous improvements in mobility, communication, and other functional domains,[20] [21] as well as gradual developmental gains more generally.[22] However, these gains usually manifest over extended timeframes—often beyond one to two years—and vary substantially between individuals. In most cases, it remains unclear whether changes in diet, medication, or individualized therapy occurred during the observation period, which may have contributed to the reported improvements. Our study was specifically designed to minimize such confounding factors. These findings emphasize the generally limited and slow nature of spontaneous clinical improvement in PMM2-CDG. By contrast, the rapid and multidimensional benefits seen within 2 to 12 weeks of biotin supplementation—including enhanced cognitive engagement, motor function, gastrointestinal stability, and social interaction—suggest a response beyond the expected course of natural progression.
While these results are promising, it is important to acknowledge the limitations of this study. The open-label design and lack of a control group introduced potential bias and make it difficult to definitively attribute the observed improvements to biotin supplementation. This is particularly relevant for the youngest age group (0–5 years), where developmental changes occur rapidly and may be difficult to distinguish from treatment effects.
We also like to point out that this study was initiated closely before and conducted despite the coronavirus disease 2019 pandemic and associated lockdowns, which presented significant operational challenges. These included prohibition on studies with external participants, limiting our ability to conduct more rigorous assessments and follow-ups by treating physicians and using validated scores during a longer time period. To proceed with the study and avoid postponement to an undetermined future date due the ongoing pandemic, we opted to utilize ABAS-II questionnaires that could be completed remotely. The reliance on self-reported measures and questionnaires completed by patients, parents, or caregivers, rather than physicians, may have introduced variability in the assessment of outcomes. These discrepancies became evident through the negative scores reported on the ABAS-II questionnaires, which averaged between 20 and 38% across various scales, despite families describing noticeably more positive developments in interviews or reporting no change at all. When participants were asked about this inconsistency, two main reasons emerged. First, different parents or caregivers completed the assessments before and after treatment, which may have led to gender-related differences in perception.[23] Second, participants filled out the second survey without referring to their initial responses from before biotin supplementation, likely contributing to the discrepancy. Despite this, the relatively large number of participants for whom >60% positive responses across multiple domains were reported, provide a strong rationale for further investigation. Future studies then should address the named limitations by incorporating randomized, double-blind, placebo-controlled designs with larger sample sizes and more objective outcome measures.
Our explorative study identifies biotin as a promising candidate substance for supportive treatment in PMM2-CDG. Of note, we also explored biotin use in 14 non-PMM2-CDG cases as well in which a 50% positive gain or more was reported in 6 out of 9 categories. These findings suggest that biotin could hold potential for supportive treatment in all N-glycosylation deficiencies (>108 defects).[1] The safety, and low cost along with its capability to target multiple aspects of CDG pathophysiology, make biotin an attractive option for further explorations how and if biotin could improve the quality of life of CDG patients.
Declaration of Generative Artificial Intelligence and Artificial Intelligence-Assisted Technologies in the Writing Process
During the preparation of this work, the authors used ChatGPT 4o to improve language and readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.
Contributors' Statement
N.H.: Planned and conducted experiments, summarized clinical data, contributed to the writing of the manuscript. R.B., J.M., S.B.W.: collected and summarized clinical data, contributed to the writing of the manuscript. S.H., V.G., J.G.O.: collected biochemical data. S.G.: statistically summarized the data. C.T.: Planning of experiments, data analyses, and writing of the manuscript. All authors contributed to the interpretation of the results, revised, and approved the manuscript for submission.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgments
We thank all patients and families for participating. Special thanks go to the German “Bundesverein CDG-Syndrom “GlycoKids” e.V.” for their consistent support. Further thanks go to Karolin Schaefer for excellent technical support and Nenad Blau for fruitful discussions.
Data Availability Statement
The data that support the findings of this study are available upon reasonable request.
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References
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- 2 Sosicka P, Ng BG, Freeze HH. Chemical therapies for congenital disorders of glycosylation. ACS Chem Biol 2022; 17 (11) 2962-2971
- 3 Verheijen J, Tahata S, Kozicz T, Witters P, Morava E. Therapeutic approaches in congenital disorders of glycosylation (CDG) involving N-linked glycosylation: an update. Genet Med 2020; 22 (02) 268-279
- 4 Feichtinger RG, Hüllen A, Koller A. et al. A spoonful of L-fucose-an efficient therapy for GFUS-CDG, a new glycosylation disorder. EMBO Mol Med 2021; 13 (09) e14332
- 5 Brasil S, Allocca M, Magrinho SCM. et al. Systematic review: drug repositioning for congenital disorders of glycosylation (CDG). Int J Mol Sci 2022; 23 (15) 8725
- 6 León-Del-Río A. Biotin in metabolism, gene expression, and human disease. J Inherit Metab Dis 2019; 42 (04) 647-654
- 7 Wolf B. Biotinidase deficiency. In: Adam MP, Feldman J, Mirzaa GM. et al., editors. GeneReviews [Internet]. Seattle (WA): University of Washington, Seattle; ; 1993–2024. March 24, 2000 [updated May 25, 2023]. Accessed July 29, 2025 at: https://www.ncbi.nlm.nih.gov/books/NBK1322/
- 8 Wolf B. Biotinidase deficiency: “if you have to have an inherited metabolic disease, this is the one to have”. Genet Med 2012; 14 (06) 565-575
- 9 Tankeu AT, Van Winckel G, Elmers J. et al. Biotinidase deficiency: what have we learned in forty years?. Mol Genet Metab 2023; 138 (04) 107560
- 10 Wolf B, Hsia YE, Sweetman L. et al. Multiple carboxylase deficiency: clinical and biochemical improvement following neonatal biotin treatment. Pediatrics 1981; 68 (01) 113-118
- 11 Zschocke N, Hoffman GF. Vademecum Metabolicum, 5th Edition. Thieme Verlag, Stuttgart; 2021: 214-215
- 12 Saleem H, Simpson B. Biotinidase Deficiency. Feb 9, 2023. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; ; January 2024. Accessed July 29, 2025 at: https://www.ncbi.nlm.nih.gov/books/NBK560607/
- 13 Himmelreich N, Kikul F, Zdrazilova L. et al. Complex metabolic disharmony in PMM2-CDG paves the way to new therapeutic approaches. Mol Genet Metab 2023; 139 (03) 107610
- 14 Achouitar S, Mohamed M, Gardeitchik T. et al. Nijmegen paediatric CDG rating scale: a novel tool to assess disease progression. J Inherit Metab Dis 2011; 34 (04) 923-927
- 15 Pettit DA, Amador PS, Wolf B. The quantitation of biotinidase activity in dried blood spots using microtiter transfer plates: identification of biotinidase-deficient and heterozygous individuals. Anal Biochem 1989; 179 (02) 371-374
- 16 Harrison PL, Oakland T. Adaptive behavior assessment system. Second Edition ABAS-II. San Antonio: Harcourt; 2003
- 17 Waisbren SE, He J, McCarter R. Assessing Psychological Functioning in Metabolic Disorders: Validation of the Adaptive Behavior Assessment System, Second Edition (ABAS-II), and the Behavior Rating Inventory of Executive Function (BRIEF) for Identification of Individuals at Risk. JIMD Rep; 2015. 21. 35-43
- 18 Hymes J, Wolf B. Biotinidase and its roles in biotin metabolism. Clin Chim Acta 1996; 255 (01) 1-11
- 19 Lam C, Scaglia F, Berry GT. et al. Frontiers in congenital disorders of glycosylation consortium, a cross-sectional study report at year 5 of 280 individuals in the natural history cohort. Mol Genet Metab 2024; 142 (04) 108509
- 20 Witters P, Honzik T, Bauchart E. et al. Long-term follow-up in PMM2-CDG: are we ready to start treatment trials?. Genet Med 2019; 21 (05) 1181-1188
- 21 Verberkmoes S, Mazza GL, Edmondson AC. et al. Goal attainment in PMM2-CDG: a new approach measuring meaningful clinical outcomes. Mol Genet Metab 2025; 145 (01) 109087
- 22 Muthusamy K, Perez-Ortiz JM, Ligezka AN. et al. Neurological manifestations in PMM2-congenital disorders of glycosylation (PMM2-CDG): Insights into clinico-radiological characteristics, recommendations for follow-up, and future directions. Genet Med 2024; 26 (02) 101027
- 23 Giofrè D, Toffalini E, Esposito L, Cornoldi C. Sex/gender differences in general cognitive abilities: an investigation using the Leiter-3. Cogn Process 2024; 25 (04) 663-672
Correspondence
Publication History
Received: 16 May 2025
Accepted: 23 September 2025
Article published online:
06 October 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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References
- 1 Ng BG, Freeze HH, Himmelreich N, Blau N, Ferreira CR. Clinical and biochemical footprints of congenital disorders of glycosylation: proposed nosology. Mol Genet Metab 2024; 142 (01) 108476
- 2 Sosicka P, Ng BG, Freeze HH. Chemical therapies for congenital disorders of glycosylation. ACS Chem Biol 2022; 17 (11) 2962-2971
- 3 Verheijen J, Tahata S, Kozicz T, Witters P, Morava E. Therapeutic approaches in congenital disorders of glycosylation (CDG) involving N-linked glycosylation: an update. Genet Med 2020; 22 (02) 268-279
- 4 Feichtinger RG, Hüllen A, Koller A. et al. A spoonful of L-fucose-an efficient therapy for GFUS-CDG, a new glycosylation disorder. EMBO Mol Med 2021; 13 (09) e14332
- 5 Brasil S, Allocca M, Magrinho SCM. et al. Systematic review: drug repositioning for congenital disorders of glycosylation (CDG). Int J Mol Sci 2022; 23 (15) 8725
- 6 León-Del-Río A. Biotin in metabolism, gene expression, and human disease. J Inherit Metab Dis 2019; 42 (04) 647-654
- 7 Wolf B. Biotinidase deficiency. In: Adam MP, Feldman J, Mirzaa GM. et al., editors. GeneReviews [Internet]. Seattle (WA): University of Washington, Seattle; ; 1993–2024. March 24, 2000 [updated May 25, 2023]. Accessed July 29, 2025 at: https://www.ncbi.nlm.nih.gov/books/NBK1322/
- 8 Wolf B. Biotinidase deficiency: “if you have to have an inherited metabolic disease, this is the one to have”. Genet Med 2012; 14 (06) 565-575
- 9 Tankeu AT, Van Winckel G, Elmers J. et al. Biotinidase deficiency: what have we learned in forty years?. Mol Genet Metab 2023; 138 (04) 107560
- 10 Wolf B, Hsia YE, Sweetman L. et al. Multiple carboxylase deficiency: clinical and biochemical improvement following neonatal biotin treatment. Pediatrics 1981; 68 (01) 113-118
- 11 Zschocke N, Hoffman GF. Vademecum Metabolicum, 5th Edition. Thieme Verlag, Stuttgart; 2021: 214-215
- 12 Saleem H, Simpson B. Biotinidase Deficiency. Feb 9, 2023. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; ; January 2024. Accessed July 29, 2025 at: https://www.ncbi.nlm.nih.gov/books/NBK560607/
- 13 Himmelreich N, Kikul F, Zdrazilova L. et al. Complex metabolic disharmony in PMM2-CDG paves the way to new therapeutic approaches. Mol Genet Metab 2023; 139 (03) 107610
- 14 Achouitar S, Mohamed M, Gardeitchik T. et al. Nijmegen paediatric CDG rating scale: a novel tool to assess disease progression. J Inherit Metab Dis 2011; 34 (04) 923-927
- 15 Pettit DA, Amador PS, Wolf B. The quantitation of biotinidase activity in dried blood spots using microtiter transfer plates: identification of biotinidase-deficient and heterozygous individuals. Anal Biochem 1989; 179 (02) 371-374
- 16 Harrison PL, Oakland T. Adaptive behavior assessment system. Second Edition ABAS-II. San Antonio: Harcourt; 2003
- 17 Waisbren SE, He J, McCarter R. Assessing Psychological Functioning in Metabolic Disorders: Validation of the Adaptive Behavior Assessment System, Second Edition (ABAS-II), and the Behavior Rating Inventory of Executive Function (BRIEF) for Identification of Individuals at Risk. JIMD Rep; 2015. 21. 35-43
- 18 Hymes J, Wolf B. Biotinidase and its roles in biotin metabolism. Clin Chim Acta 1996; 255 (01) 1-11
- 19 Lam C, Scaglia F, Berry GT. et al. Frontiers in congenital disorders of glycosylation consortium, a cross-sectional study report at year 5 of 280 individuals in the natural history cohort. Mol Genet Metab 2024; 142 (04) 108509
- 20 Witters P, Honzik T, Bauchart E. et al. Long-term follow-up in PMM2-CDG: are we ready to start treatment trials?. Genet Med 2019; 21 (05) 1181-1188
- 21 Verberkmoes S, Mazza GL, Edmondson AC. et al. Goal attainment in PMM2-CDG: a new approach measuring meaningful clinical outcomes. Mol Genet Metab 2025; 145 (01) 109087
- 22 Muthusamy K, Perez-Ortiz JM, Ligezka AN. et al. Neurological manifestations in PMM2-congenital disorders of glycosylation (PMM2-CDG): Insights into clinico-radiological characteristics, recommendations for follow-up, and future directions. Genet Med 2024; 26 (02) 101027
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