Evidence map›Paper›PMID 27855220›Full record

ArticlePloS one2016

Disease Type- and Status-Specific Alteration of CSF Metabolome Coordinated with Clinical Parameters in Inflammatory Demyelinating Diseases of CNS.

Soo Jin Park, In Hye Jeong, Byung Soo Kong, Jung-Eun Lee, Kyoung Heon Kim, Do Yup Lee, Ho Jin Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Metabolites · 2022
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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

7 authors at 3 institutions in 1 country.

Soo Jin ParkThe Department of Bio and Fermentation Convergence Technology, BK21 PLUS project, Kookmin University, Seoul, Korea.
In Hye JeongThe Department of Neurology, Research Institute and Hospital of the National Cancer Center, Goyang, Korea.
Byung Soo KongThe Department of Neurology, Research Institute and Hospital of the National Cancer Center, Goyang, Korea.
Jung-Eun LeeThe Department of Bio and Fermentation Convergence Technology, BK21 PLUS project, Kookmin University, Seoul, Korea.
Kyoung Heon KimThe Department of Biotechnology, Graduate School, Korea University, Seoul, Korea.
Do Yup LeeThe Department of Bio and Fermentation Convergence Technology, BK21 PLUS project, Kookmin University, Seoul, Korea.
Ho Jin KimThe Department of Neurology, Research Institute and Hospital of the National Cancer Center, Goyang, Korea.
Kookmin University · KRNational Cancer Center · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system (CNS) inflammatory demyelinating diseases (IDDs) are a group of disorders with different aetiologies, characterized by inflammatory lesions. These disorders include multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and idiopathic transverse myelitis (ITM). Differential diagnosis of the CNS IDDs still remains challenging due to frequent overlap of clinical and radiological manifestation, leading to increased demands for new biomarker discovery. Since cerebrospinal fluid (CSF) metabolites may reflect the status of CNS tissues and provide an interfacial linkage between blood and CNS tissues, we explored multi-component biomarker for different IDDs from CSF samples using gas chromatography mass spectrometry-based metabolite profiling coupled to multiplex bioinformatics approach. We successfully constructed the single model with multiple metabolite variables in coordinated regression with clinical characteristics, expanded disability status scale, oligoclonal bands, and protein levels. The multi-composite biomarker simultaneously discriminated four different immune statuses (a total of 145 samples; 54 MS, 49 NMOSD, 30 ITM, and 12 normal controls). Furthermore, systematic characterization of transitional metabolic modulation identified relapse-associated metabolites and proposed insights into the disease network underlying type-specific metabolic dysfunctionality. The comparative analysis revealed the lipids, 1-monopalmitin and 1-monostearin were common indicative for MS, NMOSD, and ITM whereas fatty acids were specific for the relapse identified in all types of IDDs.

Indexed as

MetabolomeArea Under CurveBiomarkersCentral Nervous SystemDemyelinating DiseasesDiscriminant AnalysisHumansInflammationLeast-Squares AnalysisModels, StatisticalMultivariate AnalysisRecurrenceROC CurveBiomarkers

Identifiers

PMID27855220
PMCPMC5113962
OpenAlexW2550610191

What Socratic 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 Socratic graph.