Orphan or Rare Diseases
UNICORNS: Uveitis in childhood prospective national cohort study protocol
F1000Res. 2023 Aug 30;9:1196. doi: 10.12688/f1000research.26689.2. eCollection 2020.
ABSTRACT
Background: Childhood uveitis is a rare inflammatory eye disease which is typically chronic, relapsing-remitting in nature, with an uncertain aetiology (idiopathic). Visual loss occurs due to structural damage caused by uncontrolled inflammation. Understanding of the determinants of long term outcome is lacking, including the predictors of therapeutic response or how to define disease control. Aims: To describe disease natural history and outcomes amongst a nationally representative group of children with non-infectious uveitis, describe the impact of disease course on quality of life for both child and family, and identify determinants of adverse visual, structural and developmental outcomes. Methods: UNICORNS is a prospective longitudinal multicentre cohort study of children newly diagnosed with uveitis about whom a core minimum clinical dataset will be collected systematically. Participants and their families will also complete patient-reported outcome measures annually from recruitment. The association of patient (child- and treatment- dependent) characteristics with outcome will be investigated using logistic and ordinal regression models which incorporate adjustment for within-child correspondence between eyes for those with bilateral disease and repeated outcomes measurement. Discussion: Through this population based, prospective longitudinal study of childhood uveitis, we will describe the characteristics of childhood onset disease. Early (1-2 years following diagnosis) outcomes will be described in the first instance, and through the creation of a national inception cohort, longer term studies will be enabled of outcome for affected children and families.
PMID:38435080 | PMC:PMC10905007 | DOI:10.12688/f1000research.26689.2
Primary Generalized Glucocorticoid Resistance: a case report
Probl Endokrinol (Mosk). 2024 Feb 28;70(1):30-37. doi: 10.14341/probl13321.
ABSTRACT
Primary glucocorticoid resistance (OMIM 615962) is a rare endocrinologic condition caused by resistance of the human glucocorticoid receptor (hGR) to glucocorticoids (GR) and characterised by general or partial insensitivity of target organs to GK. Compensatory activation of hypothalamic-pituitary-andrenal axis results in development of a various pathological conditions caused by overstimulation of adrenal glands. Clinical spectrum may range from asymptomatic cases to severe cases of mineralocorticoid and/or androgen excess. At present time, primary generalized glucocorticoid resistance has been exclusively associated with defects in the NR3C1 gene. Here, we present a case report of an adolescent patient with clinical presentation of glucocorticoid resistance confirmed by detailed endocrinologic evaluation but no confirmed mutations in the NR3C1 gene.
PMID:38433539 | DOI:10.14341/probl13321
A systematic review of the assessment of the clinical utility of genomic sequencing: Implications of the lack of standard definitions and measures of clinical utility
Eur J Med Genet. 2024 Apr;68:104925. doi: 10.1016/j.ejmg.2024.104925. Epub 2024 Mar 1.
ABSTRACT
PURPOSE: Exome sequencing (ES) and genome sequencing (GS) are diagnostic tests for rare genetic diseases. Studies report clinical utility of ES/GS. The goal of this systematic review is to establish how clinical utility is defined and measured in studies evaluating the impacts of ES/GS results for pediatric patients.
METHODS: Relevant articles were identified in PubMed, Medline, Embase, and Web of Science. Eligible studies assessed clinical utility of ES/GS for pediatric patients published before 2021. Other relevant articles were added based on articles' references. Articles were coded to assess definitions and measures of clinical utility.
RESULTS: Of 1346 articles, 83 articles met eligibility criteria. Clinical utility was not clearly defined in 19% of studies and 92% did not use an explicit measure of clinical utility. When present, definitions of clinical utility diverged from recommended definitions and varied greatly, from narrow (diagnostic yield of ES/GS) to broad (including decisions about withdrawal of care/palliative care and/or impacts on other family members).
CONCLUSION: Clinical utility is used to guide policy and practice decisions about test use. The lack of a standard definition of clinical utility of ES/GS may lead to under- or overestimations of clinical utility, complicating policymaking and raising ethical issues.
PMID:38432472 | DOI:10.1016/j.ejmg.2024.104925
Natural language processing to identify lupus nephritis phenotype in electronic health records
BMC Med Inform Decis Mak. 2024 Mar 3;22(Suppl 2):348. doi: 10.1186/s12911-024-02420-7.
ABSTRACT
BACKGROUND: Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one of the major disease manifestations of SLE for organ damage and mortality, is a key component of lupus classification criteria. Accurately identifying lupus nephritis in electronic health records (EHRs) would therefore benefit large cohort observational studies and clinical trials where characterization of the patient population is critical for recruitment, study design, and analysis. Lupus nephritis can be recognized through procedure codes and structured data, such as laboratory tests. However, other critical information documenting lupus nephritis, such as histologic reports from kidney biopsies and prior medical history narratives, require sophisticated text processing to mine information from pathology reports and clinical notes. In this study, we developed algorithms to identify lupus nephritis with and without natural language processing (NLP) using EHR data from the Northwestern Medicine Enterprise Data Warehouse (NMEDW).
METHODS: We developed five algorithms: a rule-based algorithm using only structured data (baseline algorithm) and four algorithms using different NLP models. The first NLP model applied simple regular expression for keywords search combined with structured data. The other three NLP models were based on regularized logistic regression and used different sets of features including positive mention of concept unique identifiers (CUIs), number of appearances of CUIs, and a mixture of three components (i.e. a curated list of CUIs, regular expression concepts, structured data) respectively. The baseline algorithm and the best performing NLP algorithm were externally validated on a dataset from Vanderbilt University Medical Center (VUMC).
RESULTS: Our best performing NLP model incorporated features from both structured data, regular expression concepts, and mapped concept unique identifiers (CUIs) and showed improved F measure in both the NMEDW (0.41 vs 0.79) and VUMC (0.52 vs 0.93) datasets compared to the baseline lupus nephritis algorithm.
CONCLUSION: Our NLP MetaMap mixed model improved the F-measure greatly compared to the structured data only algorithm in both internal and external validation datasets. The NLP algorithms can serve as powerful tools to accurately identify lupus nephritis phenotype in EHR for clinical research and better targeted therapies.
PMID:38433189 | PMC:PMC10910523 | DOI:10.1186/s12911-024-02420-7
Istore: a project on innovative statistical methodologies to improve rare diseases clinical trials in limited populations
Orphanet J Rare Dis. 2024 Mar 2;19(1):96. doi: 10.1186/s13023-024-03103-2.
ABSTRACT
BACKGROUND: The conduct of rare disease clinical trials is still hampered by methodological problems. The number of patients suffering from a rare condition is variable, but may be very small and unfortunately statistical problems for small and finite populations have received less consideration. This paper describes the outline of the iSTORE project, its ambitions, and its methodological approaches.
METHODS: In very small populations, methodological challenges exacerbate. iSTORE's ambition is to develop a comprehensive perspective on natural history course modelling through multiple endpoint methodologies, subgroup similarity identification, and improving level of evidence.
RESULTS: The methodological approaches cover methods for sound scientific modeling of natural history course data, showing similarity between subgroups, defining, and analyzing multiple endpoints and quantifying the level of evidence in multiple endpoint trials that are often hampered by bias.
CONCLUSION: Through its expected results, iSTORE will contribute to the rare diseases research field by providing an approach to better inform about and thus being able to plan a clinical trial. The methodological derivations can be synchronized and transferability will be outlined.
PMID:38431612 | DOI:10.1186/s13023-024-03103-2
Digenic inheritance involving a muscle-specific protein kinase and the giant titin protein causes a skeletal muscle myopathy
Nat Genet. 2024 Mar 1. doi: 10.1038/s41588-023-01651-0. Online ahead of print.
ABSTRACT
In digenic inheritance, pathogenic variants in two genes must be inherited together to cause disease. Only very few examples of digenic inheritance have been described in the neuromuscular disease field. Here we show that predicted deleterious variants in SRPK3, encoding the X-linked serine/argenine protein kinase 3, lead to a progressive early onset skeletal muscle myopathy only when in combination with heterozygous variants in the TTN gene. The co-occurrence of predicted deleterious SRPK3/TTN variants was not seen among 76,702 healthy male individuals, and statistical modeling strongly supported digenic inheritance as the best-fitting model. Furthermore, double-mutant zebrafish (srpk3-/-; ttn.1+/-) replicated the myopathic phenotype and showed myofibrillar disorganization. Transcriptome data suggest that the interaction of srpk3 and ttn.1 in zebrafish occurs at a post-transcriptional level. We propose that digenic inheritance of deleterious changes impacting both the protein kinase SRPK3 and the giant muscle protein titin causes a skeletal myopathy and might serve as a model for other genetic diseases.
PMID:38429495 | DOI:10.1038/s41588-023-01651-0
Comparative efficacy and safety of stiripentol, cannabidiol and fenfluramine as first-line add-on therapies for seizures in Dravet syndrome: A network meta-analysis
Epilepsia Open. 2024 Mar 1. doi: 10.1002/epi4.12923. Online ahead of print.
ABSTRACT
OBJECTIVES: Stiripentol, fenfluramine, and cannabidiol are licensed add-on therapies to treat seizures in Dravet Syndrome (DS). There are no direct or indirect comparisons assessing their full licensed dose regimens, across different jurisdictions, as first-line add-on therapies in DS.
METHODS: We conducted a systematic review and frequentist network meta-analysis (NMA) of randomized controlled trial (RCT) data for licensed add-on DS therapies. We compared the proportions of patients experiencing: reductions from baseline in monthly convulsive seizure frequency (MCSF) of ≥50% (clinically meaningful), ≥75% (profound), and 100% (seizure-free); serious adverse events (SAEs); discontinuations due to AEs.
RESULTS: We identified relevant data from two placebo-controlled RCTs for each drug. Stiripentol 50 mg/kg/day and fenfluramine 0.7 mg/kg/day had similar efficacy in achieving ≥50% (clinically meaningful) and ≥75% (profound) reductions from baseline in MCSF (absolute risk difference [RD] for stiripentol versus fenfluramine 1% [95% confidence interval: -20% to 22%; p = 0.93] and 6% [-15% to 27%; p = 0.59], respectively), and both were statistically superior (p < 0.05) to licensed dose regimens of cannabidiol (10 or 20 mg/kg/day, with/irrespective of clobazam) for these outcomes. Stiripentol was statistically superior in achieving seizure-free intervals compared to fenfluramine (RD = 26% [CI: 8% to 44%; p < 0.01]) and licensed dose regimens of cannabidiol. There were no significant differences in the proportions of patients experiencing SAEs. The risk of discontinuations due to AEs was lower for stiripentol, although the stiripentol trials were shorter.
SIGNIFICANCE: This NMA of RCT data indicates stiripentol, as a first-line add-on therapy in DS, is at least as effective as fenfluramine and both are more effective than cannabidiol in reducing convulsive seizures. No significant difference in the incidence of SAEs between the three add-on agents was observed, but stiripentol may have a lower risk of discontinuations due to AEs. These results may inform clinical decision-making and the continued development of guidelines for the treatment of people with DS.
PLAIN LANGUAGE SUMMARY: This study compared three drugs (stiripentol, fenfluramine, and cannabidiol) used alongside other medications for managing seizures in a severe type of epilepsy called DS. The study found that stiripentol and fenfluramine were similarly effective in reducing seizures and both were more effective than cannabidiol. Stiripentol was the best drug for stopping seizures completely based on the available clinical trial data. All three drugs had similar rates of serious side effects, but stiripentol had a lower chance of being stopped due to side effects. This information can help guide treatment choices for people with DS.
PMID:38427284 | DOI:10.1002/epi4.12923
Brain function in classic galactosemia, a galactosemia network (GalNet) members review
Front Genet. 2024 Feb 15;15:1355962. doi: 10.3389/fgene.2024.1355962. eCollection 2024.
ABSTRACT
Classic galactosemia (CG, OMIM #230400, ORPHA: 79,239) is a hereditary disorder of galactose metabolism that, despite treatment with galactose restriction, affects brain function in 85% of the patients. Problems with cognitive function, neuropsychological/social emotional difficulties, neurological symptoms, and abnormalities in neuroimaging and electrophysiological assessments are frequently reported in this group of patients, with an enormous individual variability. In this review, we describe the role of impaired galactose metabolism on brain dysfunction based on state of the art knowledge. Several proposed disease mechanisms are discussed, as well as the time of damage and potential treatment options. Furthermore, we combine data from longitudinal, cross-sectional and retrospective studies with the observations of specialist teams treating this disease to depict the brain disease course over time. Based on current data and insights, the majority of patients do not exhibit cognitive decline. A subset of patients, often with early onset cerebral and cerebellar volume loss, can nevertheless experience neurological worsening. While a large number of patients with CG suffer from anxiety and depression, the increased complaints about memory loss, anxiety and depression at an older age are likely multifactorial in origin.
PMID:38425716 | PMC:PMC10902464 | DOI:10.3389/fgene.2024.1355962
Prenatal onset GAPO syndrome with a novel ANTXR1 variant in an Indian child: Expansion of the phenotype & literature review
Eur J Med Genet. 2024 Apr;68:104929. doi: 10.1016/j.ejmg.2024.104929. Epub 2024 Feb 28.
ABSTRACT
GAPO syndrome is a rare genetic condition caused by bi-allelic variants in ANTXR1 gene & is an abbreviation for its core features - growth retardation, alopecia, pseudo-anodontia & optic atrophy. Certain additional features involving various other systems have been reported over the years & contribute to the expanding spectrum of this evolving phenotype. We report GAPO syndrome in a 3.75 year old Indian female child, who presented with some unique features such as sagittal craniosynostosis with scaphocephaly & bilateral choroid plexus cysts, alongside the core phenotype. We also report a novel frameshift variant in our patient & offer first evidence for the prenatal onset of some features.
PMID:38423276 | DOI:10.1016/j.ejmg.2024.104929
Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases
Sci Rep. 2024 Mar 1;14(1):5056. doi: 10.1038/s41598-024-55424-8.
ABSTRACT
Rare genetic diseases affect 5-8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.28 million patients across 3 major hospitals in Singapore, in a bid to improve the diagnostic process for patients who are living with an undiagnosed rare disease, specifically focusing on Fabry Disease and Familial Hypercholesterolaemia (FH). On a baseline of 4 patients, we identified 2 additional patients with potential diagnosis of Fabry disease, suggesting a potential 50% increase in diagnosis. Similarly, we identified > 12,000 individuals who fulfil the clinical and laboratory criteria for FH but had not been diagnosed previously. This proof-of-concept study showed that it is possible to perform mining on EHR data albeit with some challenges and limitations.
PMID:38424111 | PMC:PMC10904843 | DOI:10.1038/s41598-024-55424-8
Rare diseases: challenges and opportunities for research and public health
Nat Rev Dis Primers. 2024 Feb 29;10(1):13. doi: 10.1038/s41572-024-00505-1.
NO ABSTRACT
PMID:38424095 | DOI:10.1038/s41572-024-00505-1
Rare diseases in Iceland
Laeknabladid. 2024 mars;110(3):133. doi: 10.17992/lbl.2024.03.783.
NO ABSTRACT
PMID:38420957 | DOI:10.17992/lbl.2024.03.783
Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes
Nat Commun. 2024 Feb 28;15(1):1227. doi: 10.1038/s41467-024-45099-0.
ABSTRACT
Exploring the molecular basis of disease severity in rare disease scenarios is a challenging task provided the limitations on data availability. Causative genes have been described for Congenital Myasthenic Syndromes (CMS), a group of diverse minority neuromuscular junction (NMJ) disorders; yet a molecular explanation for the phenotypic severity differences remains unclear. Here, we present a workflow to explore the functional relationships between CMS causal genes and altered genes from each patient, based on multilayer network community detection analysis of complementary biomedical information provided by relevant data sources, namely protein-protein interactions, pathways and metabolomics. Our results show that CMS severity can be ascribed to the personalized impairment of extracellular matrix components and postsynaptic modulators of acetylcholine receptor (AChR) clustering. This work showcases how coupling multilayer network analysis with personalized -omics information provides molecular explanations to the varying severity of rare diseases; paving the way for sorting out similar cases in other rare diseases.
PMID:38418480 | PMC:PMC10902324 | DOI:10.1038/s41467-024-45099-0
Diabetic Fibrous Mastopathy: Imaging Features With Histopathologic Correlation
J Breast Imaging. 2023 Sep 22;5(5):585-590. doi: 10.1093/jbi/wbad033.
ABSTRACT
Diabetic fibrous mastopathy (DFM) is a rare benign fibrotic disease of the breast that develops in patients with longstanding and often uncontrolled diabetes mellitus. Clinically, patients may present with an irregular, firm, palpable mass, which may be solitary or multiple, occurring in one or both breasts. Diabetic fibrous mastopathy occurs most often in premenopausal women with heterogeneously or extremely dense breasts; mammography may show focal asymmetry or, less often, a noncalcified mass with indistinct or obscured margins, but there are usually no discrete findings. On US, DFM may have marked hypoechogenicity and posterior shadowing secondary to extensive fibrosis. Diabetic fibrous mastopathy features on contrast-enhanced MRI are also nonspecific, with gradual persistent nonmass enhancement reported. Because the clinical presentation and US features of DFM overlap with those of breast cancer, histopathologic correlation is needed to confirm diagnosis and exclude malignancy. These findings include collagenous stroma often with keloidal features and chronic perilobular and perivascular inflammation. Histopathologic findings of lymphocytic lobulitis and perivascular inflammation are common to other autoimmune conditions.
PMID:38416913 | DOI:10.1093/jbi/wbad033
Kidney disease in antiphospholipid antibody syndrome
Rev Med Suisse. 2024 Feb 28;20(863):430-435. doi: 10.53738/REVMED.2024.20.863.430.
ABSTRACT
Antiphospholipid syndrome (APS) is a rare autoimmune disease characterized by recurrent arterial and venous thromboembolic events. Renal complications occur in 3 % of patients. Renal artery stenosis is the most common, and APS-related nephropathy is the predominant microvascular complication. APS nephropathy has heterogeneous manifestations ranging from hematuria and non-nephrotic range proteinuria to hypertension and multi-organ failure caused by catastrophic antiphospholipid antibody syndrome. Anticoagulation and thromboprophylaxis are key to management. Immunosuppression has been used with some success but lacks randomized controlled trial validation for their use.
PMID:38415729 | DOI:10.53738/REVMED.2024.20.863.430
Client Service Receipt Inventory for rare genetic diseases in Hong Kong: abridged secondary publication
Trends in orphan medicinal products approvals in the European Union between 2010-2022
Orphanet J Rare Dis. 2024 Feb 27;19(1):91. doi: 10.1186/s13023-024-03095-z.
ABSTRACT
BACKGROUND: Over the last twenty years of orphan drug regulation in Europe, the regulatory framework has increased its complexity, with different regulatory paths and tools engineered to facilitate the innovation and accelerate approvals. Recently, the proposal of the new Pharmaceutical Legislation for the European Union, which will replace at least three Regulations and one Directive, was released and its new framework is raising many questions. The aim of this study was to present a characterisation of the Orphan Medicinal Products (OMPs) authorised by the European Commission (EC), between 2010 and 2022, looking into eighteen variables, contributing to the ongoing discussion on the proposal and implementation of the new Pharmaceutical Legislation proposed.
METHODS: Data of the OMPs identified and approved between 2010 and 2022 were extracted from the European Public Assessment Reports (EPARs) produced by the European Medicines Agency. Information regarding legal basis of the application, applicant, protocol assistance received, type of authorization, registration status, type of molecule, ATC code, therapeutic area, target age, disease prevalence, number of pivotal clinical trials supporting the application, clinical trial designs, respective efficacy endpoints and number of patients enrolled in the pivotal clinical trials were extracted. A descriptive statistical analysis was applied.
RESULTS: We identified 192 OMPs approved in the period between 2010 and 2022. 89% of the OMPs have legal basis of "full application". 86% of the sponsors received protocol assistance whereas 64% of the MAA benefited from the accelerated assessment. 53% of the active substances are small molecules; about 1 in 5 molecules are repurposed. 40% of the OMPs have oncological therapeutic indications and 56% of the OMPs are intended to treat only adults. 71% of the products were approved based on a single pivotal trial.
CONCLUSIONS: This analysis of OMPs approved between 2010 and 2022 shows that a shift has occurred in the rare disease medicine development space. Through the period studied we observe an increase of non-small molecules approved, accelerated assessment received and non-standard MA's granted.
PMID:38413985 | PMC:PMC10900541 | DOI:10.1186/s13023-024-03095-z
Embracing the unknown: investigating medical communication around uncertainty and the implications on patient and family well-being
Orphanet J Rare Dis. 2024 Feb 26;19(1):37. doi: 10.1186/s13023-024-03050-y.
ABSTRACT
Rare diseases present immense challenges to physicians, patients, and the healthcare system at large due to a scarcity of research and knowledge in the field. This contributes to uncertainty surrounding rare diseases, which can hinder the management of these chronic conditions. An analysis of my family's experience battling my mother's ameloblastic carcinoma highlights the difficulties in communicating the uncertainty around rare diseases and their damaging effects on our family's well-being. Here, we will recognize the importance of acknowledging uncertainty during diagnoses and advocating for enhanced detection strategies. The goal of this article is to emphasize that effective medical communication around rare diseases, accessibility to accurate information, proper services, and a shift toward a culture that prioritizes patient well-being are critical for improving health outcomes for rare disease patients.
PMID:38403651 | PMC:PMC10895854 | DOI:10.1186/s13023-024-03050-y
Analysis of the first ten years of FDA's rare pediatric disease priority review voucher program: designations, diseases, and drug development
Orphanet J Rare Dis. 2024 Feb 25;19(1):86. doi: 10.1186/s13023-024-03097-x.
ABSTRACT
BACKGROUND: The Rare Pediatric Disease (RPD) Priority Review Voucher (PRV) Program was enacted in 2012 to support the development of new products for children. Prior to requesting a voucher, applicants can request RPD designation, which confirms their product treats or prevents a rare disease in which the serious manifestations primarily affect children. This study describes the trends and characteristics of these designations. Details of RPD designations are not publicly disclosable; this research represents the first analysis of the RPD designation component of the program.
RESULTS: We used an internal US Food and Drug Administration database to analyze all RPD designations between 2013 and 2022. Multiple characteristics were analyzed, including the diseases targeted by RPD designation, whether the product targeted a neonatal disease, product type (drug/biologic), and the level of evidence (preclinical/clinical) to support designation. There were 569 RPD designations during the study period. The top therapeutic areas were neurology (26%, n = 149), metabolism (23%, n = 131), oncology (18%, n = 105). The top diseases targeted by RPD designation were Duchenne muscular dystrophy, neuroblastoma, and sickle cell disease. Neonatology products represented 6% (n = 33), over half were for drug products and 38% were supported by clinical data.
CONCLUSIONS: The RPD PRV program was created to encourage development of new products for children. The results of this study establish that a wide range of diseases have seen development-from rare pediatric cancers to rare genetic disorders. Continued support of product development for children with rare diseases is needed to find treatments for all children with unmet needs.
PMID:38403586 | PMC:PMC10895788 | DOI:10.1186/s13023-024-03097-x
The Genetic Basis, Lung Involvement, and Therapeutic Options in Niemann-Pick Disease: A Comprehensive Review
Biomolecules. 2024 Feb 11;14(2):211. doi: 10.3390/biom14020211.
ABSTRACT
Niemann-Pick Disease (NPD) is a rare autosomal recessive disease belonging to lysosomal storage disorders. Three types of NPD have been described: NPD type A, B, and C. NPD type A and B are caused by mutations in the gene SMPD1 coding for sphingomyelin phosphodiesterase 1, with a consequent lack of acid sphingomyelinase activity. These diseases have been thus classified as acid sphingomyelinase deficiencies (ASMDs). NPD type C is a neurologic disorder due to mutations in the genes NPC1 or NPC2, causing a defect of cholesterol trafficking and esterification. Although all three types of NPD can manifest with pulmonary involvement, lung disease occurs more frequently in NPD type B, typically with interstitial lung disease, recurrent pulmonary infections, and respiratory failure. In this sense, bronchoscopy with broncho-alveolar lavage or biopsy together with high-resolution computed tomography are fundamental diagnostic tools. Although several efforts have been made to find an effective therapy for NPD, to date, only limited therapeutic options are available. Enzyme replacement therapy with Olipudase α is the first and only approved disease-modifying therapy for patients with ASMD. A lung transplant and hematopoietic stem cell transplantation are also described for ASMD in the literature. The only approved disease-modifying therapy in NPD type C is miglustat, a substrate-reduction treatment. The aim of this review was to delineate a state of the art on the genetic basis and lung involvement in NPD, focusing on clinical manifestations, radiologic and histopathologic characteristics of the disease, and available therapeutic options, with a gaze on future therapeutic strategies.
PMID:38397448 | PMC:PMC10886890 | DOI:10.3390/biom14020211