Evidence map›Paper›PMID 32260582›Full record

ReviewInternational journal of molecular sciences2020

Metabolomic Studies of Lipid Storage Disorders, with Special Reference to Niemann-Pick Type C Disease: A Critical Review with Future Perspectives.

Benita Claire Percival, Miles Gibson, Philippe B Wilson, Frances M Platt, Martin Grootveld

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment.International journal of environmental research and public health · 2020
    Article
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

5 authors at 3 institutions in 1 country.

Benita Claire PercivalLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.ORCID 0000-0002-8769-8979
Miles GibsonLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.
Philippe B WilsonLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.ORCID 0000-0003-0207-2246
Frances M PlattDepartment of Pharmacology, University of Oxford, Mansfield Rd, Oxford OX1 3QT, UK.ORCID 0000-0001-7614-0403
Martin GrootveldLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.ORCID 0000-0003-1502-3734
De Montfort University · GBNottingham Trent University · GBUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Lysosomal storage disorders (LSDs) are predominantly very rare recessive autosomal neurodegenerative diseases.Sphingolipidoses, a sub-group of LSDs, result from defects in lysosomal enzymes involved in sphingolipid catabolism, and feature disrupted storage systems which trigger complex pathogenic cascades with other organelles collaterally affected. This process leads to cell dysfunction and death, particularly in the central nervous system. One valuable approach to gaining insights into the global impact of lysosomal dysfunction is through metabolomics, which represents a discovery tool for investigating disease-induced modifications in the patterns of large numbers of simultaneously-analysed metabolites, which also features the identification of biomarkers Here, the scope and applications of metabolomics strategies to the investigation of sphingolipidoses is explored in order to facilitate our understanding of the biomolecular basis of these conditions. This review therefore surveys the benefits of applying 'state-of-the-art' metabolomics strategies, both univariate and multivariate, to sphingolipidoses, particularly Niemann-Pick type C disease. Relevant limitations of these techniques are also discussed, along with the latest advances and developments. We conclude that metabolomics strategies are highly valuable, distinctive bioanalytical techniques for probing LSDs, most especially for the detection and validation of potential biomarkers. They also show much promise for monitoring disease progression and the evaluation of therapeutic strategies and targets.

Indexed as

BiomarkersHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsNiemann-Pick Disease, Type CSphingolipidsBiomarkersSphingolipidsbiomarkerslipidosesliquid chromatography-mass spectrometric (LC-MS) analysislysosomal storage disordersmetabolomicsmultivariate power calculationsNiemann-Pick Type C Diseasenuclear magnetic resonance (NMR) analysisvalidation and cross-validation

Identifiers

PMID32260582
PMCPMC7178094
OpenAlexW3014564778

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.