Evidence map›Paper›PMID 31586016›Full record

ArticleJournal of lipid research2019

Investigation of diagnostic performance of five urinary cholesterol metabolites for Niemann-Pick disease type C.

Masamitsu Maekawa, Isamu Jinnoh, Aya Narita, Takashi Iida, Daisuke Saigusa, Anna Iwahori, Hiroshi Nittono, Torayuki Okuyama, Yoshikatsu Eto, Kousaku Ohno and 3 more

Abstract read
In one paragraph

Article in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  3. Development of a simultaneous LC-MS/MS analytical method for plasma: 16 antipsychotics approved in Japan and 4 drug metabolites.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Masamitsu MaekawaDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-ku, Sendai 980-8574, Japan m-maekawa@hosp.tohoku.ac.jp.
Isamu JinnohFaculty of Pharmaceutical Sciences, Tohoku University, Aoba-Ku, Sendai 980-8574, Japan.
Aya NaritaDivision of Child Neurology, Tottori University Hospital, Yonago, Tottori 683-8503, Japan.
Takashi IidaCollege of Humanities and Sciences, Nihon University, Setagaya-ku, Tokyo 156-8550, Japan.
Daisuke SaigusaDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-ku, Sendai 980-8574, Japan.
Anna IwahoriFaculty of Pharmaceutical Sciences, Tohoku University, Aoba-Ku, Sendai 980-8574, Japan.
Hiroshi NittonoJunshin Clinic Bile Acid Institute, Meguro-ku, Tokyo 152-0011, Japan.
Torayuki OkuyamaDepartment of Clinical Laboratory Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo 157-8535, Japan.
Yoshikatsu EtoAdvanced Clinical Research Center, Institute for Neurological Disorders, Asou-ku, Kawasaki, Kanagawa 215-0026, Japan.
Kousaku OhnoDivision of Child Neurology, Tottori University Hospital, Yonago, Tottori 683-8503, Japan.
Peter T ClaytonBiochemistry Research Group, Clinical and Molecular Genetics Unit, UCL Institute of Child Health, London WC1N 1EH, United Kingdom.
Hiroaki YamaguchiDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-ku, Sendai 980-8574, Japan.
Nariyasu ManoDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Aoba-ku, Sendai 980-8574, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niemann-Pick disease type C (NPC) is an autosomal recessive disorder characterized by progressive nervous degeneration. Because of the diversity of clinical symptoms and onset age, the diagnosis of this disease is difficult. Therefore, biomarker tests have attracted significant attention for earlier diagnostics. In this study, we developed a simultaneous analysis method for five urinary conjugated cholesterol metabolites, which are potential diagnostic biomarkers for a rapid, convenient, and noninvasive chemical diagnosis, using LC/MS/MS. By the method, their urinary concentrations were quantified and the NPC diagnostic performances were evaluated. The developed LC/MS/MS method showed high accuracy and satisfied all analytical method validation criteria. When the urine of healthy controls and patients with NPC was analyzed, three of five urinary conjugated cholesterol metabolite concentrations corrected by urinary creatinine were significantly higher in the patients with NPC. As a result of receiver operating characteristics analysis, these urinary metabolites might have excellent diagnostic marker performance. 3β-Sulfooxy-7β-hydroxy-5-cholenoic acid showed particularly excellent diagnostic performance with both 100% clinical sensitivity and specificity, suggesting that it is a useful NPC diagnostic marker. The urinary conjugated cholesterol metabolites exhibited high NPC diagnostic marker performance and could be used for NPC diagnosis.

Indexed as

AdolescentAdultCalibrationCase-Control StudiesChildChild, PreschoolCholesterolFemaleHumansInfantMaleMiddle AgedNiemann-Pick Disease, Type CYoung AdultCholesterolliquid chromatography/tandem mass spectrometryNiemann-Pick disease type Curinary biomarkers

Identifiers

PMID31586016
PMCPMC6889718

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.