Evidence map›Paper›PMID 36399273›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Mass Spectrometry Analysis of the Human Brain Sphingolipidome.

Xin Ying Chua, Ryan Huang, Deron Herr, Mitchell K P Lai, Markus R Wenk, Federico Torta

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 2 countries.

Xin Ying ChuaDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ryan HuangCanyon Crest Academy, San Diego, CA, USA.
Deron HerrDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mitchell K P LaiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Markus R WenkPrecision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, Singapore, Singapore.
Federico TortaPrecision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, Singapore, Singapore. bchfdtt@nus.edu.sg.
National University of Singapore · SGSan Diego State University · USSingapore Institute of Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, mass spectrometry-based lipidomics has provided a fertile environment for scientific investigations of biochemical and mechanistic processes in biological systems. Notably, this approach has been used to characterize physiological and pathological processes relevant to the central nervous system by identifying changes in the sphingolipid content in the brain, cerebral spinal fluid, and blood plasma. However, despite a preponderance of studies identifying correlations between specific lipids and disease progression, this powerful resource has not yet substantively translated into clinically useful diagnostic assays. Part of this gap may be explained by insufficient depth of the lipidomic profiles in many studies, by lab-to-lab inconsistencies in methodology, and a lack of absolute quantification. These issues limit the identification of specific molecular species and the harmonization of results across independent studies. In this chapter, we contextualize these issues with recent reports identifying correlations between brain lipids and neurological diseases, and we describe the workflow our group has optimized for analysis of the blood plasma sphingolipidome, adapted to the characterization of the human brain tissue.

Indexed as

BrainLipidomicsHumansMass SpectrometrySphingolipidsWorkflowSphingolipidsAlzheimer’s diseaseBrainClinical correlationLC-MS/MS methodologyLipidomicsMass spectrometryNeurological diseasePlasmaSphingolipidomicsSphingolipidsSphingosine 1-Phosphate

Identifiers

PMID36399273
OpenAlexW4309491787

What OpenQuestion holds

Textmetadata
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.