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

Richard W D Welford, Marco Garzotti, Charles Marques Lourenço, Eugen Mengel, Thorsten Marquardt, Janine Reunert, Yasmina Amraoui, Stefan A Kolb, Olivier Morand, Peter Groenen, Richard W D Welford, Marco Garzotti, Charles Marques Lourenço, Eugen Mengel, Thorsten Marquardt, Janine Reunert, Yasmina Amraoui, Stefan A Kolb, Olivier Morand, Peter Groenen

Abstract

Niemann-Pick disease type C (NP-C) is a devastating, neurovisceral lysosomal storage disorder which is characterised by variable manifestation of visceral signs, progressive neuropsychiatric deterioration and premature death, caused by mutations in the NPC1 and NPC2 genes. Due to the complexity of diagnosis and the availability of an approved therapy in the EU, improved detection of NP-C may have a huge impact on future disease management. At the cellular level dysfunction or deficiency of either the NPC1 or NPC2 protein leads to a complex intracellular endosomal/lysosomal trafficking defect, and organ specific patterns of sphingolipid accumulation. Lysosphingolipids have been shown to be excellent biomarkers of sphingolipidosis in several enzyme deficient lysosomal storage disorders. Additionally, in a recent study the lysosphingolipids, lysosphingomyelin (SPC) and glucosylsphingosine (GlcSph), appeared to be elevated in the plasma of three adult NP-C patients. In order to investigate the clinical utility of SPC and GlcSph as diagnostic markers, an in-depth fit for purpose biomarker assay validation for measurement of these biomarkers in plasma by liquid chromatography-tandem mass spectrometry was performed. Plasma SPC and GlcSph are stable and can be measured accurately, precisely and reproducibly. In a retrospective analysis of 57 NP-C patients and 70 control subjects, median plasma SPC and GlcSph were significantly elevated in NP-C by 2.8-fold and 1.4-fold respectively. For miglustat-naïve NP-C patients, aged 2-50 years, the area under the ROC curve was 0.999 for SPC and 0.776 for GlcSph. Plasma GlcSph did not correlate with SPC levels in NP-C patients. The data indicate excellent potential for the use of lysosphingomyelin in NP-C diagnosis, where it could be used to identify NP-C patients for confirmatory genetic testing.

Conflict of interest statement

Competing Interests: RW, MG, SK, OM and PG are employees of Actelion Pharmaceuticals Ltd; CML, EM, YA, JR and TM have received travel reimbursements, consulting fees or honoraria from Actelion Pharmaceuticals Ltd, Allschwil, Switzerland. The competing interests do not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

Figures

Figure 1. Chemical structures of sphingolipids.
Figure 1. Chemical structures of sphingolipids.
The lysosphingolipids SPC and GlcSph measured in plasma for this study, along with their N-acetylated counterparts, sphingomyelin and the monohexosylceramide glucosylceramide which are known to accumulate in the organs of NP-C patients.
Figure 2. Stability of GlcSph and SPC…
Figure 2. Stability of GlcSph and SPC in plasma.
A and B show the stability of the plasma QC samples under different conditions for SPC and GlcSph respectively. Percentage measured compared to the average concentration of the samples determined in the three validation batches is shown. Data are reported +/− standard deviation for 3 replicate measurements. Note the observation of all data being a little under 100% represents a systematic bias from this particular batch; Stability of SPC and GlcSph in EDTA-plasma from five donors incubated at room temperature (C and D) and 4°C (E and F) for up to 96 hours. Each trace represents an individual donor.
Figure 3. Plasma SPC and GlcSph in…
Figure 3. Plasma SPC and GlcSph in NP-C patients and controls.
One sample per patient is shown, where multiple samples from one patient were available the first was used. The dotted horizontal line represents the 95% percentile of the entire control group for SPC (10.3 nM) and GlcSph (2.4 nM). The bar is the median. A and B, SPC and GlcSph in the entire cohort; C and D, SPC and GlcSph separated by age (years); E and F, SPC and GlcSph separated by miglustat status (0–50 years). The miglustat treated patients had been on treatment for 2.8±1.4 years (average ± standard deviation), 0.7–6 years (Min-Max).
Figure 4. ROC analysis of plasma SPC…
Figure 4. ROC analysis of plasma SPC and GlcSph.
SPC (green) and GlcSph (blue) for the age range 0–50 years with miglustat-naïve NP-C patients compared to the control group. The area under the curve (95% CI) was 0.9994 (0.9972 to 1.002) and 0.7764 (0.6479 to 0.9048) for SPC and GlcSph respectively.
Figure 5. Biomarker correlation plots A: SPC…
Figure 5. Biomarker correlation plots A: SPC and GlcSph.
The control subjects are black circles, the NP-C patients are colored by miglustat treatment status as for Figure 3E. A Spearman correlation analysis gave (r, p value) for control (0.48, B: SPC and cholestan-3β,5α,6β-triol. For controls (black circles) and NP-C (red squares). The 2 markers did not correlate for the NP-C patients (Spearman r = 0.265, p = 0.273). The horizontal dotted line represents the 95 percentile of normal for cholestan-3β,5α,6β-triol (0.04 ng/µL). The vertical cut-off is 95 percentile of normal for SPC. Values below the assay LOQ were set at the LOQ for SPC (5 nM) and cholestan-3β,5α,6β-triol (0.001 ng/uL).
Figure 6. Glucosylsphingosine not galactosylsphingosine is increased…
Figure 6. Glucosylsphingosine not galactosylsphingosine is increased in the plasma of NP-C patients.
LC-MS/MS chromatograms showing separation of glucosyl- and galactosyl-sphingosine with HILIC chromatography. (A) QC2; (B) QC2 spiked with 5 nM glucosylsphingosine; (C) QC2 spiked with 5 nM galactosylsphingosine; (D) control sample 1; (E) control sample 2; (F) control sample 3; (G) NP-C sample 1; (H) NP-C sample 2; (I) NP-C sample 3.

References

    1. Vanier MT (2010) Niemann-Pick disease type C. Orphanet J Rare Dis. 5:16.
    1. Mengel E, Klunemann HH, Lourenco CM, Hendriksz CJ, Sedel F, et al. (2013) Niemann-Pick disease type C symptomatology: an expert-based clinical description. Orphanet J Rare Dis 8:166.
    1. Patterson MC, Mengel E, Wijburg FA, Muller A, Schwierin B, et al. (2013) Disease and patient characteristics in NP-C patients: findings from an international disease registry. Orphanet J Rare Dis 8:12.
    1. Bauer P, Balding DJ, Klunemann HH, Linden DE, Ory DS, et al. (2013) Genetic screening for Niemann-Pick disease type C in adults with neurological and psychiatric symptoms: findings from the ZOOM study. Hum Mol Genet 22:4349–4356.
    1. Wijburg FA, Sedel F, Pineda M, Hendriksz CJ, Fahey M, et al. (2012) Development of a suspicion index to aid diagnosis of Niemann-Pick disease type C. Neurology. 78:1560–1567.
    1. Iturriaga C, Pineda M, Fernandez-Valero EM, Vanier MT, Coll MJ (2006) Niemann-Pick C disease in Spain: clinical spectrum and development of a disability scale. J Neurol Sci 249:1–6.
    1. Yanjanin NM, Velez JI, Gropman A, King K, Bianconi SE, et al. (2010) Linear clinical progression, independent of age of onset, in Niemann-Pick disease, type C. Am J Med Genet B Neuropsychiatr Genet. 153B:132–140.
    1. Stampfer M, Theiss S, Amraoui Y, Jiang X, Keller S, et al. (2013) Niemann-Pick disease type C clinical database: cognitive and coordination deficits are early disease indicators. Orphanet J Rare Dis 8:35.
    1. Jiang X, Sidhu R, Porter FD, Yanjanin NM, Speak AO, et al. (2011) A sensitive and specific LC-MS/MS method for rapid diagnosis of Niemann-Pick C1 disease from human plasma. J Lipid Res 52:1435–1445.
    1. Porter FD, Scherrer DE, Lanier MH, Langmade SJ, Molugu V, et al. (2010) Cholesterol oxidation products are sensitive and specific blood-based biomarkers for Niemann-Pick C1 disease. Sci Transl Med 2:56ra81.
    1. Aerts JM, Groener JE, Kuiper S, Donker-Koopman WE, Strijland A, et al. (2008) Elevated globotriaosylsphingosine is a hallmark of Fabry disease. Proc Natl Acad Sci U S A 105:2812–2817.
    1. Dekker N, van Dussen L, Hollak CE, Overkleeft H, Scheij S, et al. (2011) Elevated plasma glucosylsphingosine in Gaucher disease: relation to phenotype, storage cell markers, and therapeutic response. Blood 118:e118–127.
    1. Kodama T, Togawa T, Tsukimura T, Kawashima I, Matsuoka K, et al. (2011) Lyso-GM2 ganglioside: a possible biomarker of Tay-Sachs disease and Sandhoff disease. PLoS One 6:e29074.
    1. Chuang WL, Pacheco J, Zhang XK, Martin MM, Biski CK, et al. (2013) Determination of psychosine concentration in dried blood spots from newborns that were identified via newborn screening to be at risk for Krabbe disease. Clin Chim Acta 419:73–76.
    1. Chuang WL, Pacheco J, Cooper S, McGovern MM, Cox GF, et al. (2014) Lyso-sphingomyelin is elevated in dried blood spots of Niemann-Pick B patients. Mol Genet Metab 111:209–211.
    1. Fan M, Sidhu R, Fujiwara H, Tortelli B, Zhang J, et al. (2013) Identification of Niemann-Pick C1 (NPC1) disease biomarkers through sphingolipid profiling. J Lipid Res 54:2800–2814.
    1. Vanier MT (1983) Biochemical studies in Niemann-Pick disease. I. Major sphingolipids of liver and spleen. Biochim Biophys Acta 750:178–184.
    1. Vanier MT (1999) Lipid changes in Niemann-Pick disease type C brain: personal experience and review of the literature. Neurochem Res 24:481–489.
    1. EMA (2011) Guideline on bioanalytical method validation (EMEA/CHMP/EWP/192217/2009).
    1. FDA (2001) Guidance for Industry: Bioanalytical Method Validation.
    1. Houghton R, Horro Pita C, Ward I, Macarthur R (2009) Generic approach to validation of small-molecule LC-MS/MS biomarker assays. Bioanalysis 1:1365–1374.
    1. Johnson B, Mascher H, Mascher D, Legnini E, Hung CY, et al. (2013) Analysis of lyso-globotriaosylsphingosine in dried blood spots. Ann Lab Med 33:274–278.
    1. Fast DM, Kelley M, Viswanathan CT, O'Shaughnessy J, King SP, et al. (2009) Workshop report and follow-up–AAPS Workshop on current topics in GLP bioanalysis: Assay reproducibility for incurred samples—implications of Crystal City recommendations. AAPS J 11:238–241.
    1. Stevenson L, Garofolo F, Desilva B, Dumont I, Martinez S, et al. (2013) 2013 White Paper on recent issues in bioanalysis: 'hybrid' - the best of LBA and LCMS. Bioanalysis 5:2903–2918.
    1. Crocker AC (1961) The cerebral defect in Tay-Sachs disease and Niemann-Pick disease. J Neurochem 7:69–80.
    1. Lin N, Zhang H, Qiu W, Ye J, Han L, et al. (2013) Determination of 7-ketocholesterol in plasma by liquid chromatography mass spectrometry for rapid diagnosis of acid sphingomyelinase deficient Niemann-Pick disease. J Lipid Res 55:338–343.
    1. Slotte JP (2013) Biological functions of sphingomyelins. Prog Lipid Res 52:424–437.
    1. Lloyd-Evans E, Platt FM (2010) Lipids on trial: the search for the offending metabolite in Niemann-Pick type C disease. Traffic 11:419–428.
    1. Rolfs A, Giese AK, Grittner U, Mascher D, Elstein D, et al. (2013) Glucosylsphingosine is a highly sensitive and specific biomarker for primary diagnostic and follow-up monitoring in Gaucher disease in a non-jewish, caucasian cohort of Gaucher disease patients. PLoS One 8:e79732.
    1. Patterson MC, Hendriksz CJ, Walterfang M, Sedel F, Vanier MT, et al. (2012) Recommendations for the diagnosis and management of Niemann-Pick disease type C: an update. Mol Genet Metab 106:330–344.
    1. Zhang H, Wang Y, Lin N, Yang R, Qiu W, et al. (2014) Diagnosis of Niemann-Pick disease type C with 7-ketocholesterol screening followed by NPC1/NPC2 gene mutation confirmation in Chinese patients. Orphanet J Rare Dis 9:82.
    1. van Karnebeek CD, Mohammadi T, Tsao N, Sinclair G, Sirrs S, et al. (2014) Health economic evaluation of plasma oxysterol screening in the diagnosis of Niemann-Pick Type C disease among intellectually disabled using discrete event simulation. Mol Genet Metab.

Source: PubMed

3
Abonnieren