Literature DB >> 29431164

Recommendations for the detection and diagnosis of Niemann-Pick disease type C: An update.

Marc C Patterson1, Peter Clayton1, Paul Gissen1, Mathieu Anheim1, Peter Bauer1, Olivier Bonnot1, Andrea Dardis1, Carlo Dionisi-Vici1, Hans-Hermann Klünemann1, Philippe Latour1, Charles M Lourenço1, Daniel S Ory1, Alasdair Parker1, Miguel Pocoví1, Michael Strupp1, Marie T Vanier1, Mark Walterfang1, Thorsten Marquardt1.   

Abstract

PURPOSE OF REVIEW: Niemann-Pick disease type C (NP-C) is a neurovisceral disorder that may be more prevalent than earlier estimates. Diagnosis of NP-C is often delayed; a key aim for clinical practice is to reduce this delay. Recently, substantial progress has been made in the field of NP-C screening and diagnosis, justifying an update to the existing recommendations for clinical practice. RECENT
FINDINGS: New biomarker profiling and genetic analysis technologies are included as first-line diagnostic tests for NP-C. Most diagnoses can now be confirmed by combination of biomarker and genetic analyses. Filipin staining may facilitate diagnosis in uncertain cases. Recommendations are provided for psychiatrists, neuro-ophthalmologists, and radiologists, and on screening within specific at-risk patient cohorts. The NP-C diagnostic algorithm has been updated and simplified.
SUMMARY: This publication provides expert recommendations for clinicians who may see patients presenting with the signs and symptoms of NP-C, including general practitioners, pediatricians, neurologists, and psychiatrists.

Entities:  

Year:  2017        PMID: 29431164      PMCID: PMC5800709          DOI: 10.1212/CPJ.0000000000000399

Source DB:  PubMed          Journal:  Neurol Clin Pract        ISSN: 2163-0402


Niemann-Pick disease type C (NP-C) is a rare neurovisceral lysosomal disorder caused by autosomal recessive mutations in NPC1 or NPC2 (95% and ∼4% of patients).[1,2] Analysis of 4 independent exome sequencing databases gave a conservative estimated incidence of 1/92,104 for NP-C1 and 1/2,858,998 for NP-C2, in agreement with recent clinical data. After accounting for 2 common NPC1 variants, the incidence was estimated to be potentially 1/19,000–1/36,000 for late-onset forms, suggesting that previous prevalence estimates may be too low.[3] NP-C diagnosis is typically delayed by a mean of 4.1 years from first onset of neurologic symptoms,[4] narrowing the therapeutic window. The first international recommendations for clinical management of NP-C were prepared in 2009 based on a literature review and consensus among an expert panel[5] with updates in 2012 after a second meeting of an NP-C Guidelines Working Group.[1] Recent advances in the field of NP-C screening technologies (e.g., biomarkers) and diagnostic techniques (e.g., molecular genetics) justify an update of these recommendations. The development and availability of simple, rapid, and reliable biomarkers (oxysterols,[6-8] lysosphingomyelin derivatives,[9,10] and bile acids[11,12]) will likely increase detection of patients with NP-C. Increased availability of next-generation sequencing (NGS) (e.g., phenotype-specific gene panels[13]) may widen the application of genetic testing in clinical practice, particularly in at-risk patient cohorts.[14] Previous recommendations focused on identifying individual patients with a high clinical suspicion of NP-C. Technologic developments may facilitate patient identification based on clinical suspicion or within larger cohorts via broad genetic or biomarker screening, which ultimately may improve patient outcomes.

Development of the updated NP-C diagnostic recommendations

The NP-C Diagnostic Recommendations Expert Panel met in May 2016 to assess the impact of recently published data and to reach consensus on the best approaches to diagnosing NP-C. The following sections of the previous recommendations were updated: differential diagnosis and initial detection, diagnosis, and the NP-C diagnostic algorithm. Three approaches to the detection and diagnosis of patients with NP-C were established: clinical assessment, biomarker testing, and genetic analysis.

Differential diagnosis and initial detection

All patients with suspicion of NP-C require rigorous and detailed clinical assessment, as described in the 2012 diagnostic recommendations.[1] All undiagnosed patients with any manifestation of NP-C should be referred to regional or national centers specializing in inherited metabolic disorders. Visceral, neurologic, ophthalmologic, and psychiatric manifestations should be explored in depth.[1] Details of the signs, symptoms, and disease stages of NP-C are covered extensively elsewhere.[1,2,15]

Advances in psychiatric assessments

Psychiatric symptoms and cognitive disorders were observed in 45% and 61%, respectively, of patients with late-onset NP-C,[16] and psychiatric symptoms in 86% of patients in another small cohort[17]; however, no specific neuropsychiatric profile was observed. Patients with NP-C, particularly adults, can present with a range of psychiatric symptoms, most commonly cognitive impairment (decline in executive function, memory, and psychomotor speed), schizophrenia-like symptoms (frequently with atypical features), and mood disorders. These symptoms can overshadow other symptoms of NP-C. Owing to the inherent difficulties in examining patients in psychiatric practice, and incomplete or inaccurate medical histories, populations of adult patients displaying neuropsychiatric symptoms may be enriched for NP-C.[18]

Advances in ocular motor assessment

Eye movements (saccades, smooth pursuit, gaze-holding function, optokinetic nystagmus, and vergence) should be examined (neurocular.com). Impaired vertical saccades, commonly referred to as vertical supranuclear gaze palsy (VSGP) yet correctly termed vertical supranuclear saccade palsy (VSSP), are of particular importance in NP-C as one of the first and most frequent signs in patients with NP-C.[19] Slow vertical saccades are often masked by blinking; the eyelids must be lifted during examination. As the disease progresses, VSGP emerges. It is typically followed by impairment in horizontal saccades and then horizontal gaze. Video-oculography allows the recording of all types of eye movements and can be used for quantitative analysis of ocular motor function (eyeseecam.com/). VSSP may be present before visceral, neurologic, or psychiatric manifestations occur and is sometimes the only symptom of NP-C in adults, representing a highly sensitive and specific sign.[19]

Advances in clinical tools

The NP-C Suspicion Index (NP-C SI)[20] quantitates the diagnostic weight of NP-C signs and symptoms, individually and in combination. The updated NP-C SI features 2 age-specific indices (≤4 and >4 years of age [npc-si.com/]).[15,21] The 2-out-of-3 suspicion index can be used to provide a rapid assessment of NP-C suspicion in patients presenting with early-onset ataxia.[22]

At-risk clinical patient groups

The clinical manifestations of NP-C may be nonspecific (e.g., ataxia), implying that patients with NP-C may be “hidden” within larger at-risk clinical patient cohorts, termed here and elsewhere[14] as clinical niches, who also present with nonspecific signs and symptoms.[14] NP-C should therefore be considered as a differential diagnosis for patients in these at-risk groups. We defined several at-risk clinical patient groups, detailed below and summarized in table 1.
Table 1

Clinical patient groups with an increased risk of Niemann-Pick disease type C (NP-C)

Clinical patient groups with an increased risk of Niemann-Pick disease type C (NP-C)

Ataxia

Ataxia is a common but nonspecific sign of NP-C.[4,23,24] Early-onset ataxia, ataxia in combination with other clinical symptoms[25] (“ataxia plus”; see table 1), ataxia without neuropathy, or ataxia of unknown etiology are suggestive of NP-C.

Intellectual disability and developmental delay

Patients with NP-C presenting with intellectual disability and developmental delay (ID/DD) typically have other manifestations (e.g., liver abnormalities in infancy, splenomegaly) or neurologic signs (e.g., ataxia or dystonia). Detailed history and examination should exclude NP-C as a cause of ID/DD. Further genetic and biomarker investigation are mandatory when consanguinity, family history of unexplained neurologic disease, or focal neurologic or visceral signs are present.

Cognitive impairment and early-onset cognitive decline

The majority of patients with NP-C show impaired cognitive function.[4,23] Early (<65 years of age) cognitive decline is frequently observed in patients with NP-C, particularly in those who also present with early-onset ataxia.[25]

Dystonia

Dystonia is a relatively common presenting feature in patients with NP-C, particularly in juvenile or adult neurologic onset.[4] For patients presenting with focal idiopathic dystonia, or dystonia in combination with VSSP, cognitive decline, or psychiatric disturbances (“dystonia plus”; see table 1), NP-C should be considered as a potential diagnosis. Myoclonus, chorea, or tremor may also occur.

Frontotemporal dementia

Patients with NP-C show symptoms of progressive dementia, impaired cognitive functioning, and behavioral problems[2] consistent with those observed in frontotemporal dementia.[26] The degree of overlap between the symptoms of frontotemporal dementia and NP-C suggests that this patient group warrants screening for NP-C.

Atypical schizophrenia/early-onset psychosis

Schizophrenia-like psychosis is relatively common in patients with NP-C.[17,27] Additional signs include early onset of mental confusion and cognitive impairment, hallucinations (visual being more important than other sensory components), catatonia, and resistance to antipsychotic treatment.[27] Co-occurrence of psychosis and any other neurologic signs should raise suspicion of an organic cause, with NP-C as a differential diagnosis.

Visceral symptoms in the pediatric population

NP-C should be considered in the differential diagnosis of children with visceral symptoms such as hepatosplenomegaly, isolated splenomegaly, prolonged unexplained neonatal jaundice lasting >2 weeks with conjugated hyperbilirubinemia, and acute neonatal liver failure,[1] as such symptoms can be the initial manifestation of NP-C.[2] Visceral findings are common in other metabolic diseases.[1]

Neuroimaging tests

MRI and PET may be useful, but are not specific for NP-C. MRI findings commonly include atrophy of the cerebellum and cortex (particularly frontal zones) in more advanced disease, but this may be absent in early stages. Segmentation of subcortical structures may demonstrate volumetric reductions in the thalamus and hippocampus.[28] PET commonly shows hypometabolism of the thalamus and cerebellum.[29] Absence of abnormal MRI findings does not exclude a diagnosis of NP-C. Changes in MRI findings are highly variable, nonspecific, and of uncertain sensitivity.

Diagnosis

Biomarkers

Biomarker screening methods can now be considered a first-line step in the NP-C diagnostic process (figure).
Figure

Revised Niemann-Pick disease type C (NP-C) diagnostic algorithm for the use of biomarkers and genetic testing

Individual steps can be omitted if not locally available. aAt-risk patient populations are defined in table 1. bNegative biomarkers may be suggestive that the diagnosis is not NP-C. cSingle-gene sequencing (exons or known mutations) or other. d+1 Variant of unknown significance optional. eCovers deep intronic sequencing and if possible gene transcription regulatory regions. fTwo different alleles. gBiomarker(s) profiling (if not initially conducted), or extended biomarkers profiling (in addition to those already conducted). Despite comprehensive investigations, it may not be possible to definitively confirm a diagnosis of NP-C in a few patients. In such cases, a thorough reappraisal of longitudinal clinical data, more in-depth genomic analyses (e.g., whole exome and whole genome sequencing), and cell biological assessments could be considered. cDNA = complementary DNA; MLPA = multiplex ligation-dependent probe amplification.

Compared with the filipin staining test, biomarkers have several advantages, including noninvasiveness, rapidity, higher throughput, lower cost, and ease of use (regarding sample preparation, stability, and shipment). Sensitivity and specificity of these methods have been reported.[30]

Revised Niemann-Pick disease type C (NP-C) diagnostic algorithm for the use of biomarkers and genetic testing

Individual steps can be omitted if not locally available. aAt-risk patient populations are defined in table 1. bNegative biomarkers may be suggestive that the diagnosis is not NP-C. cSingle-gene sequencing (exons or known mutations) or other. d+1 Variant of unknown significance optional. eCovers deep intronic sequencing and if possible gene transcription regulatory regions. fTwo different alleles. gBiomarker(s) profiling (if not initially conducted), or extended biomarkers profiling (in addition to those already conducted). Despite comprehensive investigations, it may not be possible to definitively confirm a diagnosis of NP-C in a few patients. In such cases, a thorough reappraisal of longitudinal clinical data, more in-depth genomic analyses (e.g., whole exome and whole genome sequencing), and cell biological assessments could be considered. cDNA = complementary DNA; MLPA = multiplex ligation-dependent probe amplification.

Currently available biomarkers

Oxysterols

Oxysterols (cholesterol oxidation products) are the most established, accessible, and widely used biomarkers, with the largest evidence base to support their reliability and sensitivity for NP-C.[30] Cholestane-3β,5α,6β-triol (C-triol) and 7-ketocholesterol (7-KC) were shown to be elevated in plasma from patients with NP-C.[6-8] C-triol is the preferred oxysterol biomarker, with superior specificity and sensitivity for NP-C compared with 7-KC.[8,31] C-triol values for the upper quartile of NP-C carriers overlap with those of patients with NP-C. Elevated C-triol and 7-KC levels occur in other diseases, mainly NP-A and NP-B, and acid lipase deficiency[30-32]; therefore, elevated oxysterol levels should be interpreted with caution. Prolonged storage of samples at room temperature can lead to autoxidation of cholesterol, which may cause false-positive results.[7]

Other currently validated biomarkers

Newer biomarkers may one day eclipse oxysterols. Desirable qualities include increased stability, more convenient sampling methods (e.g., dried blood spot [DBS] or urine), smaller blood volumes needed (e.g., DBS with infants), more convenient handling, and characteristic NP-C profiles facilitating differential diagnosis when used in multianalyte panels.[30,33]

Lysosphingomyelin-509 and other lysosphingolipids

Lysosphingomyelin-509 (Lyso-SM-509) is elevated in plasma from patients with NP-C and NP-A/B compared with controls.[9,33] The increase of Lyso-SM in patients with NP-C is very small compared with that of patients with NP-A/B; therefore, measurement of combinations of biomarkers, such as Lyso-SM and Lyso-SM-509, allows distinction between NP-C and sphingomyelinase deficiencies (NP-A/B).[30,33] In the future, additional derivatives of Lyso-SM and multianalyte panels may be able to further differentiate between NP-A/B, NP-C, and other related diseases.

Bile acids

Specific bile acids have been found to be elevated in patients with NP-C. The analytical species of choice is 3β,5α,6β-trihydroxy-cholanoyl-glycine.[11,12] The assay is applicable to DBS, plasma, and urine, and preanalytical auto-oxidation is not a concern.[11,12] 3β,5α,6β-trihydroxy-cholanoyl-glycine appears to be more specific for NP-C than C-triol; other than NP-C, it is only known to be elevated in NP-A/B, and it better discriminates NP-C carriers from patients.[11,12]

When and in whom to use biomarkers

Any/all biomarkers should be tested as early as possible in the following: Patients presenting with splenomegaly/hepatosplenomegaly, cholestatic jaundice in neonates or young infants, or neurologic or psychiatric symptoms Patients with a high clinical suspicion of NP-C Patients in at-risk clinical groups In addition: When the initially selected biomarker does not show a profile consistent with that of NP-C, additional biomarkers should be considered. Oxysterols may not be discriminatory in the presence of neonatal cholestasis[34]; bile acid biomarkers may be more suitable for diagnostics in this population.[11] Although newborn screening is technically feasible and being explored, there is currently insufficient evidence to recommend implementation, and ethical considerations must first be accounted for. Biomarkers alone provide a very high suspicion of NP-C but diagnoses must be confirmed by genetic testing.

Current place of the filipin staining test

The filipin staining test, the historical gold standard assay for NP-C diagnosis,[30] is no longer favored as the initial laboratory diagnostic test. The filipin staining test is a tool to assess the functional significance of new NPC1 or NPC2 genetic variants, and helpful for confirming a diagnosis in patients for whom genetic testing has not allowed identification of 2 pathogenic alleles[30] (figure).

Molecular genetics and NP-C

It is crucial to genetically confirm a diagnosis in patients with high clinical suspicion and/or a biomarker profile consistent with NP-C.[30] Almost 700 variants, 400 of which are designated pathogenic mutations, are known for NPC1 and 23 have been described for NPC2. The highly polymorphic nature of NPC1 can confound diagnostic conclusions and make interpretation of new mutations a challenge. The estimated proportion of NP-C cases in which detection of mutations on both alleles can be reached using routine sequencing methods (exons and boundaries) is currently higher than 90%. It should be noted that some genetic changes, for example large deletions/duplications or deep intronic changes, cannot be reliably identified by these methods. Detection of such mutations (estimated at ∼5%) may therefore require other techniques (see below). A small percentage of mutant NPC1 alleles (below 5%) has remained unidentified in all experienced groups.[35] Pathogenic variants of NPC1 and NPC2 include point mutations that are detectable by standard sequencing methods, and more complex mutations that require additional techniques, as described below.

Traditional sequencing methods

Sanger sequencing of genomic DNA (gDNA) or complementary DNA (cDNA) was traditionally recommended, in parallel with the filipin staining test, to confirm a diagnosis of NP-C.[1]

NGS and gene panels

NGS technologies provide accurate and sensitive methods for genetic analysis. The use of only high-quality reads and integrated software tools is essential. To assess sensitivity, specificity, and reproducibility, all gene panels must be evaluated using standardized samples (e.g., Genome in a Bottle samples). For further information, refer to the following standards and guidelines: acmg.net/ACMG/Publications/Laboratory_Standards___Guidelines/ACMG/Publications/Laboratory_Standards___Guidelines.aspx and eurogentest.org/index.php?id=958. Targeted gene and multigene panels including NPC1 and NPC2, with complete exons and exon–intron boundaries, can be used to screen clinical patient groups with an increased risk of NP-C. NPC1 and NPC2 are included in several gene panels, including clinical exome, early-onset ataxia,[13,22] epilepsy, dystonia, infantile cholestasis,[36] specific inborn errors of metabolism (e.g., lysosomal storage diseases), organic psychosis, early-onset cognitive decline, hepatosplenomegaly, and developmental delay; new gene panels are in development. Diagnostic yield seems to be highest among patients with early-onset ataxia, where 1%–2% of the patients have been found to have NP-C.[13] Prevalence of the other phenotypes mentioned above, even in clinically distinct patient cohorts, is lower (<1%).[37] Panels in which all diagnostic target regions are not covered above a threshold that ensures diagnosis must be reported, and if necessary, evaluated by another technology (e.g., Sanger sequencing) to provide full coverage.

Complementary genetic tests

In patients with high clinical suspicion and/or positive biomarker results, a negative or heterozygous result from a primary genetic test (e.g., Sanger sequencing) should always be questioned and confirmed by additional molecular studies able to detect complete or partial gene deletions/duplications and deep intronic mutations.[1,30] Heterozygous complete or partial deletions/duplications of NPC1 or NPC2 require quantitative techniques to assess copy numbers.[30,38,39] Array comparative genomic hybridization (CGH) can be used to detect large DNA dosage alterations. For DNA dosage alterations below the array CGH platform resolution, quantitative real-time PCR or multiplex ligation-dependent probe amplification should be used, to specifically quantify NPC1 and NPC2 copy numbers. To detect deep intronic mutations, full-gene sequencing can be performed. Owing to the polymorphic nature of intronic regions, cDNA analysis followed by the sequencing of the specific intronic regions within the gDNA represents a highly preferred strategy.

Molecular genetics and NP-C diagnosis

Table 2 shows an approach to the interpretation of molecular genetics results.
Table 2

Recommendations for diagnosis of patients identified by molecular genetic screening for NPC1 and NPC2

Online databases should be used to record and assess the pathogenicity of mutations (e.g., NPC-db2 database in Tübingen; see medgen.medizin.uni-tuebingen.de/NPC-db2/index.php). Adherence to the American College of Medical Genetics and Genomics guidelines is recommended for assessment and reporting of new mutations. Recommendations for diagnosis of patients identified by molecular genetic screening for NPC1 and NPC2

Mutations and genotype/phenotype associations

The 2 most frequent NPC1 mutations reported worldwide are p.I1061T (c.3182T40] A number of recurrent mutations are highly prevalent in patients originating from particular countries. Some NPC1 mutations (including p.P1007A) are associated with less pronounced cholesterol trafficking alterations (variant filipin profile).[30] A few missense mutations appear to be clearly associated with a late-onset form of NP-C, even in compound heterozygosity with a very severe/null allele. In the NPC2 gene, 23 disease-causing mutations (including a large deletion) have been described; the majority are severe, leading to a truncated protein and null alleles, but some (p.V39M and p.P120S) lead to later-onset forms.

A revised laboratory diagnostic algorithm for the use of biomarkers and genetic testing in NP-C

Clinical assessment and symptom profiling are important in guiding physicians to suspect NP-C. The previous diagnostic algorithm has been revised to reflect our understanding of the value in screening not only individual patients with a high clinical suspicion of NP-C but also clinical patient groups with an increased risk of NP-C, the availability of diagnostic biomarkers for NP-C, and advancements in molecular genetics. An updated diagnostic algorithm reflecting current best practice is shown in the figure. Positive genetic testing results, or positive biomarker testing results combined with molecular genetic analysis, are now deemed sufficient to diagnose NP-C in most cases. Local factors (e.g., availability of, and access to, services) determine the choice and order of diagnostic tests.

Treatment

Miglustat (Zavesca; Actelion Pharmaceuticals Ltd., Allschwil, Switzerland) therapy for existing neurologic manifestations should be considered, as discussed in the previous recommendations.[1]

Disease monitoring

Neurologic function and quality of life should be monitored, as outlined in the previous recommendations.[1]

Future considerations

There is no single biomarker specific for NP-C. Combining biomarkers that reflect defective cholesterol trafficking/oxidative stress with lysosphingolipid biomarkers could improve screening specificity. Sensitivity has not yet been evaluated for biomarker combinations. NP-C is a global disease, yet expert testing laboratories are not available in every country. Diagnostic workflows should include easy, robust, and inexpensive sampling, shipment, and storage technologies; DBS filtercards, shown to offer genetic and biochemical value for NP-C, should be evaluated for a more general approach. With the advent of whole-genome sequencing, interpretation tools for variants of unknown significance require improvement by systematically establishing functional assays for missense and splicing mutations or transcriptional failure. Incorporation of NP-C biomarker tests into routine panels (e.g., metabolic) for screening in populations with increased risk of NP-C, in particular neonates with cholestasis and hepatosplenomegaly, could facilitate earlier diagnosis. Better understanding of the genotype–phenotype correlation in NP-C will allow a personalized approach to treatment. Currently, miglustat is the only approved therapy for patients with NP-C. Other treatments are undergoing investigation.

AUTHOR CONTRIBUTIONS

M.C. Patterson, P. Clayton, P. Gissen, M. Anheim, P. Bauer, O. Bonnot, A. Dardis, C. Dionisi-Vici, H.-H. Klünemann, P. Latour, C.M. Lourenço, D.S. Ory, A. Parker, M. Pocovi, M. Strupp, M.T. Vanier, M. Walterfang, and T. Marquardt attended the NP-C diagnostic recommendations meeting, agreed to be accountable for all aspects of the work, assessed available literature, contributed to the drafting and revision of the recommendations publication, and approved the final version for submission.
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1.  Frontotemporal dementia classification and neuropsychiatry.

Authors:  Tiffany W Chow; Bruce L Miller; Kyle Boone; Fred Mishkin; Jeffrey L Cummings
Journal:  Neurologist       Date:  2002-07       Impact factor: 1.398

2.  NPC1: Complete genomic sequence, mutation analysis, and characterization of haplotypes.

Authors:  Peter Bauer; Rupert Knoblich; Claudia Bauer; Ulrich Finckh; Antje Hufen; Julia Kropp; Silja Braun; Birgit Kustermann-Kuhn; Dörthe Schmidt; Klaus Harzer; Arndt Rolfs
Journal:  Hum Mutat       Date:  2002-01       Impact factor: 4.878

3.  Development of a suspicion index to aid diagnosis of Niemann-Pick disease type C.

Authors:  F A Wijburg; F Sedel; M Pineda; C J Hendriksz; M Fahey; M Walterfang; M C Patterson; J E Wraith; S A Kolb
Journal:  Neurology       Date:  2012-04-18       Impact factor: 9.910

4.  NPC1 is enriched in unexplained early onset ataxia: a targeted high-throughput screening.

Authors:  Matthis Synofzik; Florian Harmuth; Miriam Stampfer; Jennifer Müller Vom Hagen; Ludger Schöls; Peter Bauer
Journal:  J Neurol       Date:  2015-09-04       Impact factor: 4.849

5.  Development of a bile acid-based newborn screen for Niemann-Pick disease type C.

Authors:  Xuntian Jiang; Rohini Sidhu; Laurel Mydock-McGrane; Fong-Fu Hsu; Douglas F Covey; David E Scherrer; Brian Earley; Sarah E Gale; Nicole Y Farhat; Forbes D Porter; Dennis J Dietzen; Joseph J Orsini; Elizabeth Berry-Kravis; Xiaokui Zhang; Janice Reunert; Thorsten Marquardt; Heiko Runz; Roberto Giugliani; Jean E Schaffer; Daniel S Ory
Journal:  Sci Transl Med       Date:  2016-05-04       Impact factor: 17.956

6.  Plasma lysosphingomyelin demonstrates great potential as a diagnostic biomarker for Niemann-Pick disease type C in a retrospective study.

Authors:  Richard W D Welford; Marco Garzotti; Charles Marques Lourenço; Eugen Mengel; Thorsten Marquardt; Janine Reunert; Yasmina Amraoui; Stefan A Kolb; Olivier Morand; Peter Groenen
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

7.  Disease and patient characteristics in NP-C patients: findings from an international disease registry.

Authors:  Marc C Patterson; Eugen Mengel; Frits A Wijburg; Audrey Muller; Barbara Schwierin; Harir Drevon; Marie T Vanier; Mercé Pineda
Journal:  Orphanet J Rare Dis       Date:  2013-01-16       Impact factor: 4.123

8.  High incidence of unrecognized visceral/neurological late-onset Niemann-Pick disease, type C1, predicted by analysis of massively parallel sequencing data sets.

Authors:  Christopher A Wassif; Joanna L Cross; James Iben; Luis Sanchez-Pulido; Antony Cougnoux; Frances M Platt; Daniel S Ory; Chris P Ponting; Joan E Bailey-Wilson; Leslie G Biesecker; Forbes D Porter
Journal:  Genet Med       Date:  2015-03-12       Impact factor: 8.822

9.  A Suspicion Index to aid screening of early-onset Niemann-Pick disease Type C (NP-C).

Authors:  Mercedes Pineda; Eugen Mengel; Helena Jahnová; Bénédicte Héron; Jackie Imrie; Charles M Lourenço; Vanessa van der Linden; Parvaneh Karimzadeh; Vassili Valayannopoulos; Pavel Jesina; Juan V Torres; Stefan A Kolb
Journal:  BMC Pediatr       Date:  2016-07-22       Impact factor: 2.125

10.  Identifying Niemann-Pick type C in early-onset ataxia: two quick clinical screening tools.

Authors:  Matthis Synofzik; Zofia Fleszar; Ludger Schöls; Jennifer Just; Peter Bauer; Juan V Torres Martin; Stefan Kolb
Journal:  J Neurol       Date:  2016-06-17       Impact factor: 4.849

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  50 in total

Review 1.  Lysosomal storage disease overview.

Authors:  Angela Sun
Journal:  Ann Transl Med       Date:  2018-12

Review 2.  Do heterozygous mutations of Niemann-Pick type C predispose to late-onset neurodegeneration: a review of the literature.

Authors:  Susanne A Schneider; Sabina Tahirovic; John Hardy; Michael Strupp; Tatiana Bremova-Ertl
Journal:  J Neurol       Date:  2019-11-07       Impact factor: 4.849

3.  Changes in global gene expression indicate disordered autophagy, apoptosis and inflammatory processes and downregulation of cytoskeletal signalling and neuronal development in patients with Niemann-Pick C disease.

Authors:  Katarzyna Hetmańczyk-Sawicka; Roksana Iwanicka-Nowicka; Anna Fogtman; Jarosław Cieśla; Paweł Włodarski; Barbara Żyżyńska-Granica; Mirella Filocamo; Andrea Dardis; Paolo Peruzzo; Małgorzata Bednarska-Makaruk; Marta Koblowska; Agnieszka Ługowska
Journal:  Neurogenetics       Date:  2020-01-11       Impact factor: 2.660

4.  N-acyl-O-phosphocholineserines: structures of a novel class of lipids that are biomarkers for Niemann-Pick C1 disease.

Authors:  Rohini Sidhu; Yawo Mondjinou; Mingxing Qian; Haowei Song; Arun Babu Kumar; Xinying Hong; Fong-Fu Hsu; Dennis J Dietzen; Nicole M Yanjanin; Forbes D Porter; Elizabeth Berry-Kravis; Charles H Vite; Michael H Gelb; Jean E Schaffer; Daniel S Ory; Xuntian Jiang
Journal:  J Lipid Res       Date:  2019-06-14       Impact factor: 5.922

5.  Recessive Ataxia Differential Diagnosis Algorithm (RADIAL) Versus Specific Niemann-Pick Type C Suspicion Indices: A Retrospective Algorithm Comparison.

Authors:  Mathieu Anheim; Juan V Torres Martin; Stefan A Kolb
Journal:  Cerebellum       Date:  2020-04       Impact factor: 3.847

6.  Dietary plant stanol ester supplementation reduces peripheral symptoms in a mouse model of Niemann-Pick type C1 disease.

Authors:  Inês Magro Dos Reis; Tom Houben; Yvonne Oligschläger; Leoni Bücken; Hellen Steinbusch; David Cassiman; Dieter Lütjohann; Marit Westerterp; Jos Prickaerts; Jogchum Plat; Ronit Shiri-Sverdlov
Journal:  J Lipid Res       Date:  2020-04-14       Impact factor: 5.922

7.  New variants in Spanish Niemann-Pick type c disease patients.

Authors:  Laura López de Frutos; Jorge J Cebolla; Luis Aldámiz-Echevarría; Ángela de la Vega; Sinziana Stanescu; Carlos Lahoz; Pilar Irún; Pilar Giraldo
Journal:  Mol Biol Rep       Date:  2020-02-14       Impact factor: 2.316

Review 8.  Contribution of tandem mass spectrometry to the diagnosis of lysosomal storage disorders.

Authors:  Monique Piraud; Magali Pettazzoni; Pamela Lavoie; Séverine Ruet; Cécile Pagan; David Cheillan; Philippe Latour; Christine Vianey-Saban; Christiane Auray-Blais; Roseline Froissart
Journal:  J Inherit Metab Dis       Date:  2018-03-19       Impact factor: 4.982

9.  Probable Diagnosis of a Patient with Niemann-Pick Disease Type C: Managing Pitfalls of Exome Sequencing.

Authors:  William A Zeiger; Nasheed I Jamal; Maren T Scheuner; Patricia Pittman; Kimiyo M Raymond; Massimo Morra; Shri K Mishra
Journal:  JIMD Rep       Date:  2018-02-17

10.  Brain hypometabolism in rare genetic neurodegenerative disease: Niemann-Pick disease type C, spinocerebellar ataxia and Huntington disease assessed by FDG PET.

Authors:  Yung Hsiang Kao; Melissa Cheng; Dennis Velakoulis; Mark Walterfang; Dinesh Sivaratnam
Journal:  Asia Ocean J Nucl Med Biol       Date:  2021
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