Evidence map›Paper›PMID 28811529›Full record

ArticleScientific reports2017

Disturbance of Plasma Lipid Metabolic Profile in Guillain-Barre Syndrome.

Hsiang-Yu Tang, Daniel Tsun-Yee Chiu, Jui-Fen Lin, Cheng-Yu Huang, Kuo-Hsuan Chang, Rong-Kuo Lyu, Long-Sun Ro, Hung-Chou Kuo, Mei-Ling Cheng, Chiung-Mei Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
  6. Metabolomics Data Treatment: Basic Directions of the Full Process.Advances in experimental medicine and biology · 2021
    Article
  7. Article
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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

10 authors at 1 institution in 1 country.

Hsiang-Yu TangMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
Daniel Tsun-Yee ChiuMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
Jui-Fen LinMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
Cheng-Yu HuangMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
Kuo-Hsuan ChangDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Rong-Kuo LyuDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Long-Sun RoDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Hung-Chou KuoDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0003-0220-8051
Mei-Ling ChengMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan. chengm@mail.cgu.edu.tw.
Chiung-Mei ChenDepartment of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan. cmchen@adm.cgmh.org.tw.
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guillain-Barre Syndrome (GBS) is an inflammatory disease of the peripheral nervous system. Given that plasma metabolic profiles in GBS patients have never been explored, plasma samples of 38 GBS patients, 22 multiple sclerosis (MS) patients, and 40 healthy controls were analyzed by using untargeted and targeted metabolomics analysis. The untargeted analysis showed that levels of a set of plasma lipid metabolites were significantly decreased in GBS patients compared to the controls. Furthermore, the targeted analysis demonstrated that levels of 41 metabolites in GBS patients were significantly changed compared to either the controls or MS patients. A further metabolic analysis showed that 12 of 41 metabolites were significantly lower in classical GBS patients compared to Miller-Fisher syndrome. Among them, each of PCae C34:0, PCae C42:2, PCae C42:3, and SM C24:0 was inversely correlated with Hughes functional grading scale of GBS patients at both nadir and discharge. Receiver operating characteristic curve analysis of combination of three metabolites (PCaa C42:2, PCae C36:0 and SM C24:0) showed a good discrimination between the GBS and the controls (area under curve = 0.86). This study has demonstrated disruption of lipid metabolites in GBS may be potential biomarkers to indicate disease severity and prognosis of GBS.

Indexed as

MetabolomeMetabolomicsAdultAgedCase-Control StudiesFemaleGuillain-Barre SyndromeHumansLipidsMaleMiddle AgedPrognosisROC CurveSeverity of Illness IndexYoung AdultLipids

Identifiers

PMID28811529
PMCPMC5557802
OpenAlexW2742406790

What OpenQuestion holds

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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.