Clinical disease progression and biomarkers in Niemann-Pick disease type C: a prospective cohort study

Eugen Mengel, Bruno Bembi, Mireia Del Toro, Federica Deodato, Matthias Gautschi, Stephanie Grunewald, Sabine Grønborg, Bénédicte Héron, Esther M Maier, Agathe Roubertie, Saikat Santra, Anna Tylki-Szymanska, Simon Day, Tara Symonds, Stacie Hudgens, Marc C Patterson, Christina Guldberg, Linda Ingemann, Nikolaj H T Petersen, Thomas Kirkegaard, Christine Í Dali, Eugen Mengel, Bruno Bembi, Mireia Del Toro, Federica Deodato, Matthias Gautschi, Stephanie Grunewald, Sabine Grønborg, Bénédicte Héron, Esther M Maier, Agathe Roubertie, Saikat Santra, Anna Tylki-Szymanska, Simon Day, Tara Symonds, Stacie Hudgens, Marc C Patterson, Christina Guldberg, Linda Ingemann, Nikolaj H T Petersen, Thomas Kirkegaard, Christine Í Dali

Abstract

Background: Niemann-Pick disease type C (NPC) is a rare, progressive, neurodegenerative disease associated with neurovisceral manifestations resulting from lysosomal dysfunction and aberrant lipid accumulation. A multicentre, prospective observational study (Clinical Trials.gov ID: NCT02435030) of individuals with genetically confirmed NPC1 or NPC2 receiving routine clinical care was conducted, to prospectively characterize and measure NPC disease progression and to investigate potential NPC-related biomarkers versus healthy individuals. Progression was measured using the abbreviated 5-domain NPC Clinical Severity Scale (NPCCSS), 17-domain NPCCSS and NPC clinical database (NPC-cdb) score. Cholesterol esterification and heat shock protein 70 (HSP70) levels were assessed from peripheral blood mononuclear cells (PBMCs), cholestane-3β,5α-,6β-triol (cholestane-triol) from serum, and unesterified cholesterol from both PBMCs and skin biopsy samples. The inter- and intra-rater reliability of the 5-domain NPCCSS was assessed by 13 expert clinicians' rating of four participants via video recordings, repeated after ≥ 3 weeks. Intraclass correlation coefficients (ICCs) were calculated.

Results: Of the 36 individuals with NPC (2-18 years) enrolled, 31 (86.1%) completed the 6-14-month observation period; 30/36 (83.3%) were receiving miglustat as part of routine clinical care. A mean (± SD) increase in 5-domain NPCCSS scores of 1.4 (± 2.9) was observed, corresponding to an annualized progression rate of 1.5. On the 17-domain NPCCSS, a mean (± SD) progression of 2.7 (± 4.0) was reported. Compared with healthy individuals, the NPC population had significantly lower levels of cholesterol esterification (p < 0.0001), HSP70 (p < 0.0001) and skin unesterified cholesterol (p = 0.0006). Cholestane-triol levels were significantly higher in individuals with NPC versus healthy individuals (p = 0.008) and correlated with the 5-domain NPCCSS (Spearman's correlation coefficient = 0.265, p = 0.0411). The 5-domain NPCCSS showed high ICC agreement in inter-rater reliability (ICC = 0.995) and intra-rater reliability (ICC = 0.937).

Conclusions: Progression rates observed were consistent with other reports on disease progression in NPC. The 5-domain NPCCSS reliability study supports its use as an abbreviated alternative to the 17-domain NPCCSS that focuses on the most relevant domains of the disease. The data support the use of cholestane-triol as a disease monitoring biomarker and the novel methods of measuring unesterified cholesterol could be applicable to support NPC diagnosis. Levels of HSP70 in individuals with NPC were significantly decreased compared with healthy individuals.

Trial registration: CT-ORZY-NPC-001: ClincalTrials.gov NCT02435030, Registered 6 May 2015, https://ichgcp.net/clinical-trials-registry/NCT02435030 ; EudraCT 2014-005,194-37, Registered 28 April 2015, https://www.clinicaltrialsregister.eu/ctr-search/trial/2014-005194-37/DE . OR-REL-NPC-01: Unregistered.

Keywords: Biomarkers; Cholestane-triol; Heat shock protein; Lysosomal storage disease; NPC Clinical Severity Scale (NPCCSS); Natural history of disease; Niemann–Pick type C (NPC) disease; Observational study; Reliability.

Conflict of interest statement

EM has received investigator fees and consultant honoraria from Actelion, Alexion Pharmaceuticals, Orphazyme A/S, Prevail, Sanofi Genzyme and Takeda. BB has received consultancy fees from Actelion, Sanofi Genzyme and Takeda. MDT has received consulting fees and speaker honoraria, travel expenses and congress fees from BioMarin, Sanofi Genzyme and Takeda, and is an investigator for industrial trials for Mallinckrodt Pharmaceuticals, Orphazyme A/S and Takeda. FD has received speaker honoraria from Sanofi Genzyme and Takeda, and travel reimbursement and congress fees from Actelion, Sanofi Genzyme and Takeda. MG has received investigator fees from Orphazyme A/S, consultancy fees from Sanofi Genzyme, and travel grants from Takeda. StG has participated in commercially funded research and received travel grants from Orphazyme A/S and has received consultancy fees from Moderna and Ultragenyx. SaG has received speaker honoraria from Actelion and Novo Nordisk, and travel grants from Sanofi Genzyme. BH has received consulting fees and speaker honoraria from Actelion and Takeda, travel expenses and congress fees reimbursements from Sanofi Genzyme and Takeda, and is an investigator for industrial studies and trials for Abeona Therapeutics, Lysogene, Idorsia, Mallinckrodt Pharmaceuticals and Orphazyme A/S. SS has participated in commercially funded research and has received education and travel grants from Actelion and Orphazyme A/S and has participated in commercially funded research from Mallinckrodt Pharmaceuticals. ATS has received speaker honoraria and/or travel grants from BioMarin, Chiesi, Sanofi Genzyme and Takeda. MCP has received, or will receive, research support from Actelion, Amicus, Glycomine, National Institutes of Health (NIH), Takeda and Orphazyme A/S; he served as Chair of the Scientific Advisory Committee of a Registry of Niemann–Pick disease type C, sponsored by Actelion Pharmaceuticals US, Inc (now closed), and has received consultancy fees from Amicus Therapeutics, IntraBio, Mallinckrodt Pharmaceuticals, Novartis, Orphazyme A/S, Sanofi Genzyme and Takeda; he holds stock in IntraBio. He receives a stipend as the Editor-in-Chief of the Journal of Child Neurology and Child Neurology Open (Sage), as an editor of the Journal of Inherited Metabolic Disease (JIMD) and JIMD Reports (SSIEM), and royalties from Up-To-Date (Section Editor for Pediatric Neurology). SD, TS and SH are paid consultants to Orphazyme A/S. NHTP, LI, CD and TK are employees and shareholders of Orphazyme A/S. CG is an employee of Orphazyme A/S. AR and EMM have nothing to disclose. EM current address: SphinCS GmbH, Hochheim, Germany.

Figures

Fig. 1
Fig. 1
Sub-domains of the 5-domain and 17-domain Niemann–Pick type C Clinical Severity Scale. These are the five domains selected by individuals with NPC, their caregivers and NPC experts as the most clinically relevant domains. NPC: Niemann–Pick disease type C; NPCCSS: NPC Clinical Severity Scale
Fig. 2
Fig. 2
Participant flow diagram. N = overall number of enrolled participants; n = number of participants per category. One participant who withdrew early had an end-of-trial visit and is included in efficacy assessments
Fig. 3
Fig. 3
5-domain NPCCSS scores at Visit 1 and Visit 2. a Mean (SD) overall scores at Visit 1 and Visit 2 for all participants.* b Change in overall scores from Visit 1 to Visit 2 by length of follow-up time. c Mean (SD) individual scores for the five key sub-domains at Visit 1 and Visit 2, with mean change. NPCCSS: Niemann–Pick disease type C Clinical Severity Scale; SD: standard deviation. *One participant who withdrew early had relocated, but had an end-of-trial visit and is included in efficacy assessments. According to the statistical analysis plan, the NPC-001 study ended at a study site once the interventional NPC-002 study commenced at that specific site. The NPC-002 study had not started at the site of this particular participant when they relocated, therefore the end of study visit was planned (prior to completion of the study). The participant had a planned withdrawal visit after 162 days. Of the study withdrawals, only this participant had an end of study visit. Their screening visit and end of study visit are therefore included as per statistical analysis plan
Fig. 4
Fig. 4
Biomarker results at Visit 1 and Visit 2 in comparison to healthy individuals. a Median and interquartile lengths of average follow-up time. b Skin unesterified cholesterol, p = 0.0006. c PBMC unesterified cholesterol, p = 0.8979. d Serum cholestane-triol, p = 0.008. e PBMC cholesterol esterification, p < 0.0001. f PBMC HSP70, p < 0.0001. HSP70: heat shock protein 70; NPCCSS: Niemann–Pick disease type C Clinical Severity Scale; NS: not significant; PBMC: peripheral blood mononuclear cell
Fig. 5
Fig. 5
Biomarker correlations with disease severity as measured by the 5-domain NPCCSS. a PBMC unesterified cholesterol. b Skin unesterified cholesterol. c Serum cholestane-triol. d PBMC cholesterol esterification. e PBMC HSP70. HSP70: heat shock protein 70; NPCCSS: Niemann–Pick disease type C Clinical Severity Scale; PBMC: peripheral blood mononuclear cell

References

    1. Vanier M. Niemann-Pick disease type C. Orphanet J Rare Dis. 2010;5:16. doi: 10.1186/1750-1172-5-16.
    1. Hammond N, Munkacsi AB, Sturley SL. The complexity of a monogenic neurodegenerative disease: more than two decades of therapeutic driven research into Niemann-Pick type C disease. Biochim Biophys Acta Mol Cell Biol Lipids. 2019;1864(8):1109–1123. doi: 10.1016/j.bbalip.2019.04.002.
    1. Naureckiene S, Sleat DE, Lackland H, Fensom A, Vanier MT, Wattiaux R, et al. Identification of HE1 as the second gene of Niemann-Pick C disease. Science. 2000;290(5500):2298–2301. doi: 10.1126/science.290.5500.2298.
    1. Lloyd-Evans E, Platt FM. Lipids on trial: the search for the offending metabolite in Niemann-Pick type C disease. Traffic. 2010;11(4):419–428. doi: 10.1111/j.1600-0854.2010.01032.x.
    1. Rosenbaum AI, Maxfield FR. Niemann-Pick type C disease: molecular mechanisms and potential therapeutic approaches. J Neurochem. 2011;116(5):789–795. doi: 10.1111/j.1471-4159.2010.06976.x.
    1. Chung C, Elrick MJ, Dell'Orco JM, Qin ZS, Kalyana-Sundaram S, Chinnaiyan AM, et al. Heat shock protein beta-1 modifies anterior to posterior Purkinje cell vulnerability in a mouse model of Niemann-Pick type C disease. PLoS Genet. 2016;12(5):e1006042. doi: 10.1371/journal.pgen.1006042.
    1. Patterson M, Clayton P, Gissen P, Anheim M, Bauer P, Bonnot O, et al. Recommendations for the detection and diagnosis of Niemann-Pick disease type C: An update. Neurol Clin Pract. 2017;7(6):499–511. doi: 10.1212/CPJ.0000000000000399.
    1. Wraith JE, Sedel F, Pineda M, Wijburg FA, Hendriksz CJ, Fahey M, et al. Niemann-Pick type C suspicion index tool: analyses by age and association of manifestations. J Inherit Metab Dis. 2014;37(1):93–101. doi: 10.1007/s10545-013-9626-y.
    1. Kirkegaard T, Roth A, Petersen N, Mahalka A, Olsen O, Moilanen I, et al. Hsp70 stabilizes lysosomes and reverts Niemann-Pick disease-associated lysosomal pathology. Nature. 2010;463(7280):549–553. doi: 10.1038/nature08710.
    1. Patterson MC, Mengel E, Wijburg FA, Muller A, Schwierin B, Drevon H, et al. Disease and patient characteristics in NP-C patients: findings from an international disease registry. Orphanet J Rare Dis. 2013;8:12. doi: 10.1186/1750-1172-8-12.
    1. Thurm A, Farmer C, Farhat NY, Wiggs E, Black D, Porter FD. Cohort study of neurocognitive functioning and adaptive behaviour in children and adolescents with Niemann-Pick Disease type C1. Dev Med Child Neurol. 2016;58(3):262–269. doi: 10.1111/dmcn.12970.
    1. Dardis A, Zampieri S, Gellera C, Carrozzo R, Cattarossi S, Peruzzo P, et al. Molecular genetics of Niemann-Pick type C disease in Italy: an update on 105 patients and description of 18 NPC1 novel variants. J Clin Med. 2020;9:3. doi: 10.3390/jcm9030679.
    1. Garbade SF, Zielonka M, Komatsuzaki S, Kolker S, Hoffmann GF, Hinderhofer K, et al. Quantitative retrospective natural history modeling for orphan drug development. J Inherit Metab Dis. 2020:1–11.
    1. Higgins JJ, Patterson MC, Dambrosia JM, Pikus AT, Pentchev PG, Sato S, et al. A clinical staging classification for type C Niemann-Pick disease. Neurology. 1992;42(12):2286–2290. doi: 10.1212/WNL.42.12.2286.
    1. Iturriaga C, Pineda M, Fernandez-Valero EM, Vanier MT, Coll MJ. Niemann-Pick C disease in Spain: clinical spectrum and development of a disability scale. J Neurol Sci. 2006;249(1):1–6. doi: 10.1016/j.jns.2006.05.054.
    1. Yanjanin NM, Velez JI, Gropman A, King K, Bianconi SE, Conley SK, et al. Linear clinical progression, independent of age of onset, in Niemann-Pick disease, type C. Am J Med Genet B Neuropsychiatr Genet. 2010;153B(1):132–140.
    1. Ory DS, Ottinger EA, Farhat NY, King KA, Jiang X, Weissfeld L, et al. Intrathecal 2-hydroxypropyl-beta-cyclodextrin decreases neurological disease progression in Niemann-Pick disease, type C1: a non-randomised, open-label, phase 1–2 trial. Lancet. 2017;390(10104):1758–1768. doi: 10.1016/S0140-6736(17)31465-4.
    1. Cortina-Borja M, Vruchte D, Mengel E, Amraoui Y, Imrie J, Jones S, et al. Annual severity increment score as a tool for stratifying patients with Niemann-Pick disease type C and for recruitment to clinical trials. Orphanet J Rare Dis. 2018;13:143. doi: 10.1186/s13023-018-0880-9.
    1. Fleiss JL, Levin B, Paik MC. Statistical methods for rates and proportions. 2. New York: Wiley; 1981.
    1. Sim J, Wright C. Research in health care: concepts, designs and methods: Nelson Thornes; 2000.
    1. Geberhiwot T, Moro A, Dardis A, Ramaswami U, Sirrs S, Marfa MP, et al. Consensus clinical management guidelines for Niemann-Pick disease type C. Orphanet J Rare Dis. 2018;13(1):50. doi: 10.1186/s13023-018-0785-7.
    1. Porter FD, Scherrer DE, Lanier MH, Langmade SJ, Molugu V, Gale SE, et al. Cholesterol oxidation products are sensitive and specific blood-based biomarkers for Niemann-Pick C1 disease. Sci Transl Med. 2010;2(56):56–81. doi: 10.1126/scitranslmed.3001417.
    1. Jiang X, Sidhu R, Porter FD, Yanjanin NM, Speak AO, te Vruchte DT, et al. A sensitive and specific LC-MS/MS method for rapid diagnosis of Niemann-Pick C1 disease from human plasma. J Lipid Res. 2011;52(7):1435–1445. doi: 10.1194/jlr.D015735.
    1. Vanier MT, Latour P. Laboratory diagnosis of Niemann-Pick disease type C: the filipin staining test. Methods Cell Biol. 2015;126:357–375. doi: 10.1016/bs.mcb.2014.10.028.
    1. Vanier MT, Wenger DA, Comly ME, Rousson R, Brady RO, Pentchev PG. Niemann-Pick disease group C: clinical variability and diagnosis based on defective cholesterol esterification A collaborative study on 70 patients. Clin Genet. 1988;33(5):331–48. doi: 10.1111/j.1399-0004.1988.tb03460.x.
    1. Gomez-Pastor R, Burchfiel ET, Thiele DJ. Regulation of heat shock transcription factors and their roles in physiology and disease. Nat Rev Mol Cell Biol. 2018;19(1):4–19. doi: 10.1038/nrm.2017.73.
    1. Kirkegaard T, Gray J, Priestman D, Wallom K, Atkins J, Olsen O, et al. Heat shock protein-based therapy as a potential candidate for treating the sphingolipidoses. Sci Transl Med. 2016;8:355. doi: 10.1126/scitranslmed.aad9823.
    1. Nakasone N, Nakamura Y, Higaki K, Oumi N, Ohno K, Ninomiya H. Endoplasmic reticulum-associated degradation of Niemann-Pick C1. J Biol Chem. 2014;289:19714–19725. doi: 10.1074/jbc.M114.549915.
    1. Rosenzweig R, Nillegoda NB, Mayer MP, Bukau B. The Hsp70 chaperone network. Nat Rev Mol Cell Biol. 2019;20(11):665–680. doi: 10.1038/s41580-019-0133-3.
    1. Hartl FU, Bracher A, Hayer-Hartl M. Molecular chaperones in protein folding and proteostasis. Nature. 2011;475(7356):324–332. doi: 10.1038/nature10317.
    1. Petersen NH, Kirkegaard T, Olsen OD, Jaattela M. Connecting Hsp70, sphingolipid metabolism and lysosomal stability. Cell Cycle. 2010;9(12):2305–2309. doi: 10.4161/cc.9.12.12052.
    1. Nylandsted J, Gyrd-Hansen M, Danielewicz A, Fehrenbacher N, Lademann U, Hoyer-Hansen M, et al. Heat shock protein 70 promotes cell survival by inhibiting lysosomal membrane permeabilization. J Exp Med. 2004;200(4):425–435. doi: 10.1084/jem.20040531.
    1. Barna J, Csermely P, Vellai T. Roles of heat shock factor 1 beyond the heat shock response. Cell Mol Life Sci. 2018;75(16):2897–2916. doi: 10.1007/s00018-018-2836-6.
    1. Watanabe Y, Tsujimura A, Taguchi K, Tanaka M. HSF1 stress response pathway regulates autophagy receptor SQSTM1/p62-associated proteostasis. Autophagy. 2017;13(1):133–148. doi: 10.1080/15548627.2016.1248018.
    1. Kalmar B, Greensmith L. Activation of the heat shock response in a primary cellular model of motoneuron neurodegeneration-evidence for neuroprotective and neurotoxic effects. Cell Mol Biol Lett. 2009;14(2):319–335. doi: 10.2478/s11658-009-0002-8.
    1. Kalmar B, Lu C, Greensmith L. The role of heat shock proteins in Amyotrophic Lateral Sclerosis: the therapeutic potential of Arimoclomol. Pharmacol Ther. 2014;141(1):40–54. doi: 10.1016/j.pharmthera.2013.08.003.
    1. Penke B, Bogar F, Crul T, Santha M, Toth M, Vigh L. Heat shock proteins and autophagy pathways in neuroprotection: from molecular bases to pharmalogical interventions. Int J Mol Sci. 2018;19:325. doi: 10.3390/ijms19010325.
    1. Sarna JR, Larouche M, Marzban H, Sillitoe RV, Rancourt DE, Hawkes R. Patterned Purkinje cell degeneration in mouse models of Niemann-Pick type C disease. J Comp Neurol. 2003;456(3):279–291. doi: 10.1002/cne.10522.
    1. NCT02435030. A prospective non-therapeutic study in patients diagnosed with Niemann-Pick disease Type C. Clinical Trials; 2015.
    1. Runz H, Dolle D, Schlitter AM, Zschocke J. NPC-db, a Niemann-Pick type C disease gene variation database. Hum Mutat. 2008;29(3):345–350. doi: 10.1002/humu.20636.
    1. Deodato F, Boenzi S, Taurisano R, Semeraro M, Sacchetti E, Carrozzo R, et al. The impact of biomarkers analysis in the diagnosis of Niemann-Pick C disease and acid sphingomyelinase deficiency. Clin Chim Acta. 2018;486:387–394. doi: 10.1016/j.cca.2018.08.039.
    1. Linacre J. Many-facet Rasch Measurement. Chicago: MESA Press; 1994.
    1. Garbade SF, Zielonka M, Komatzsuzaki S, Kolker S, Hoffmann GH, Hinderhofer K, et al. Supporting orphan drug development with retrospective quantiative natural history modeling—conceptual framework, opportunities and limitations. J Inherit Metab Dis. 2020:Submitted, under review.
    1. Kassen S, Parseghian C, Andrews P, Jacoby J, Marella P, McGlocklin S, et al. Niemann–Pick type C patient and caregiver voices: externally-led, patient-focused drug development meeting. 2019.
    1. Schmitz-Hubsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, et al. Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology. 2006;66(11):1717–1720. doi: 10.1212/01.wnl.0000219042.60538.92.
    1. Poole JL, Burtner PA, Torres TA, McMullen CK, Markham A, Marcum ML, et al. Measuring dexterity in children using the Nine-hole Peg Test. J Hand Ther. 2005;18(3):348–351. doi: 10.1197/j.jht.2005.04.003.
    1. Millat G, Marcais C, Tomasetto C, Chikh K, Fensom AH, Harzer K, et al. Niemann-Pick C1 disease: correlations between NPC1 mutations, levels of NPC1 protein, and phenotypes emphasize the functional significance of the putative sterol-sensing domain and of the cysteine-rich luminal loop. Am J Hum Genet. 2001;68(6):1373–1385. doi: 10.1086/320606.
    1. Platt FM, d'Azzo A, Davidson BL, Neufeld EF, Tifft CJ. Lysosomal storage diseases. Nat Rev Dis Primers. 2018;4(1):27. doi: 10.1038/s41572-018-0025-4.
    1. Seker Yilmaz B, Baruteau J, Rahim AA, Gissen P. Clinical and Molecular Features of Early Infantile Niemann Pick Type C Disease. Int J Mol Sci. 2020;21(14).
    1. Park WD, O'Brien JF, Lundquist PA, Kraft DL, Vockley CW, Karnes PS, et al. Identification of 58 novel mutations in Niemann-Pick disease type C: correlation with biochemical phenotype and importance of PTC1-like domains in NPC1. Hum Mutat. 2003;22(4):313–325. doi: 10.1002/humu.10255.
    1. Jiang X, Sidhu R, Mydock-McGrane L, Hsu FF, Covey DF, Scherrer DE, et al. Development of a bile acid-based newborn screen for Niemann-Pick disease type C. Sci Transl Med. 2016;8(337):337–363. doi: 10.1126/scitranslmed.aaf2326.
    1. Mashima R, Maekawa M, Narita A, Okuyama T, Mano N. Elevation of plasma lysosphingomyelin-509 and urinary bile acid metabolite in Niemann-Pick disease type C-affected individuals. Mol Genet Metab Rep. 2018;15:90–95. doi: 10.1016/j.ymgmr.2018.03.005.
    1. Maekawa M, Jinnoh I, Matsumoto Y, Narita A, Mashima R, Takahashi H, et al. Structural determination of lysosphingomyelin-509 and discovery of novel class lipids from patients with Niemann-Pick disease type C. Int J Mol Sci. 2019;20(20):5018. doi: 10.3390/ijms20205018.
    1. Platt FM, Wassif C, Colaco A, Dardis A, Lloyd-Evans E, Bembi B, et al. Disorders of cholesterol metabolism and their unanticipated convergent mechanisms of disease. Annu Rev Genomics Hum Genet. 2014;15:173–194. doi: 10.1146/annurev-genom-091212-153412.
    1. Ingemann L, Kirkegaard T. Lysosomal storage diseases and the heat shock response: convergences and therapeutic opportunities. J Lipid Res. 2014;55(11):2198–2210. doi: 10.1194/jlr.R048090.
    1. Madden J, Coward JC, Shearman CP, Grimble RF, Calder PC. Hsp70 expression in monocytes from patients with peripheral arterial disease and healthy controls: monocyte Hsp70 in PAD. Cell Biol Toxicol. 2010;26(3):215–223. doi: 10.1007/s10565-009-9134-x.
    1. European Medicines Agency. Summary of product characteristics for miglustat 2009. Accessed 7 February. .
    1. Imrie J, Heptinstall L, Knight S, Strong K. Observational cohort study of the natural history of Niemann-Pick disease type C in the UK: a 5-year update from the UK clinical database. BMC Neurol. 2015;15:257. doi: 10.1186/s12883-015-0511-1.
    1. NCT02612129. Arimoclomol prospective study in patients diagnosed with Niemann–Pick disease type C. 2019.
    1. International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. ICH harmonised tripartite guideline. Guideline for good clinical practice 1996. Accessed 4 October 2019.
    1. World Medical Association. Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. Accessed 4 October 2019. .
    1. Stampfer M, Theiss S, Amraoui Y, Jiang X, Keller S, Ory DS, et al. Niemann-Pick disease type C clinical database: cognitive and coordination deficits are early disease indicators. Orphanet J Rare Dis. 2013;8:35. doi: 10.1186/1750-1172-8-35.
    1. Van Reenen, Janssen BM, Oppe M, Kreimeier S, Greiner W. EQ-5D-Y user guide: basic information on how to use the EQ-5D-Y instrument: EuroQol Group; 2014. .
    1. Crosley LK, Duthie SJ, Polley AC, Bouwman FG, Heim C, Mulholland F, et al. Variation in protein levels obtained from human blood cells and biofluids for platelet, peripheral blood mononuclear cell, plasma, urine and saliva proteomics. Genes Nutr. 2009;4(2):95–102. doi: 10.1007/s12263-009-0121-x.
    1. Devlin NJ, Parkin D, Browne J. Patient-reported outcome measures in the NHS: new methods for analysing and reporting EQ-5D data. Health Econ. 2010;19(8):886–905. doi: 10.1002/hec.1608.
    1. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. doi: 10.2307/2529310.

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