TY - JOUR
T1 - Biomarker analysis of Niemann-Pick disease type C using chromatography and mass spectrometry
AU - Maekawa, Masamitsu
AU - Iwahori, Anna
AU - Mano, Nariyasu
N1 - Funding Information:
We would like to thank all of collaborators of our study. This work was supported in part by Japan Society for the Promotion of Science KAKENHI 18K15699 .
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/11/30
Y1 - 2020/11/30
N2 - Niemann-Pick disease type C (NPC) is an autosomal recessive disorder with progressive degradation of central nervous system. The age of the onset varies from perinatal to adulthood. Patients with NPC are affected in the central nervous system, peripheral nerves, and systemic organs. From these background, it is extremely difficult to discover NPC clinically and diagnose it correctly. The procedure of the conventional laboratory methods are complicated and it takes long time to obtain the result. Because of the importance of early treatments and the shortcomings of conventional diagnostic methods for NPC, remarkable attention has been paid to biomarkers and chemical diagnoses. In the last decade, many NPC biomarkers have been reported. They are classified as cholesterol-related metabolites, sphingolipid metabolites, and novel phospholipid metabolites, respectively. Therefore, these are all lipid metabolites. Various chemical analysis methods have been used for their identification. In addition, chromatography and mass spectrometry are mainly used for their quantification. This review article outlines NPC biomarkers reported in the last decade and their analytical methods.
AB - Niemann-Pick disease type C (NPC) is an autosomal recessive disorder with progressive degradation of central nervous system. The age of the onset varies from perinatal to adulthood. Patients with NPC are affected in the central nervous system, peripheral nerves, and systemic organs. From these background, it is extremely difficult to discover NPC clinically and diagnose it correctly. The procedure of the conventional laboratory methods are complicated and it takes long time to obtain the result. Because of the importance of early treatments and the shortcomings of conventional diagnostic methods for NPC, remarkable attention has been paid to biomarkers and chemical diagnoses. In the last decade, many NPC biomarkers have been reported. They are classified as cholesterol-related metabolites, sphingolipid metabolites, and novel phospholipid metabolites, respectively. Therefore, these are all lipid metabolites. Various chemical analysis methods have been used for their identification. In addition, chromatography and mass spectrometry are mainly used for their quantification. This review article outlines NPC biomarkers reported in the last decade and their analytical methods.
KW - Biomarker
KW - Chemical diagnosis
KW - LC/MS/MS
KW - Metabolomics
KW - Niemann–Pick disease type C
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U2 - 10.1016/j.jpba.2020.113622
DO - 10.1016/j.jpba.2020.113622
M3 - Review article
C2 - 32998104
AN - SCOPUS:85091570873
SN - 0731-7085
VL - 191
JO - Journal of Pharmaceutical and Biomedical Analysis
JF - Journal of Pharmaceutical and Biomedical Analysis
M1 - 113622
ER -