Evidence map›Paper›PMID 37381696›Full record

ArticleCNS neuroscience & therapeutics2023

Metabolomics of cerebrospinal fluid reveals prognostic biomarkers in pediatric status epilepticus.

Tianqi Wang, Chunpei Li, Yu Ma, Hao Zhou, Xiaonan Du, Yingfeng Li, Shasha Long, Yifeng Ding, Guoping Lu, Weiming Chen and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Cerebrospinal fluid metabolomics reveals predictive biomarkers of nusinersen therapy efficacy in type II and type III spinal muscular atrophy patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. 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

14 authors.

Tianqi WangDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-7503-602X
Chunpei LiDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yu MaDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Hao ZhouDepartment of Developmental Behavioral Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, China.
Xiaonan DuDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yingfeng LiDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Shasha LongDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yifeng DingDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-4185-6628
Guoping LuPediatric Intensive Care Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Weiming ChenPediatric Intensive Care Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yuanfeng ZhouDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Lifei YuDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Ji WangDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yi WangDepartment of Neurology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.

Funding

Key Research Project of the Ministry of Science and Technology of China 2016YFC0904400Shanghai Municipal Science and Technology Major Project 2017SHZDZX01Shanghai Municipal Science and Technology Major Project 2018SHZDZX01ZJLab
6 · The paper itself

Abstract

aimsStatus epilepticus (SE) is the most common neurological emergency in pediatric patients. This study aimed to screen for prognostic biomarkers of SE in the cerebrospinal fluid (CSF) using metabolomics.

methodsUltra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS) was conducted to identify prognostic biomarkers in CSF metabolomics by comparing the poor outcome group (N = 13) with the good outcome group (N = 15) of children with SE. Differentially expressed metabolites were identified using Mann-Whitney U test corrected by Benjamini-Hochberg and partial least squares discriminant analysis (PLS-DA).

resultsThe PLS-DA model identified and validated significant metabolic differences between the poor and good outcome groups of children with SE (PLS-DA with R

conclusionsThis study highlighted the prognosis-related metabolomic disturbances in the CSF of children with SE and identified potential prognostic biomarkers. A prognostic prediction model combining glutamyl-glutamine and 3-iodothyronamine with high predictive value was established.

Indexed as

GlutamineMetabolomicsBiomarkersChildChromatography, High Pressure LiquidHumansMetabolomePrognosisBiomarkersGlutaminecerebrospinal fluidchildrenmetabolomicsprognostic biomarkerstatus epilepticus

Identifiers

PMID37381696
PMCPMC10651953

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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.