Evidence map›Paper›PMID 35612695›Full record

ReviewMetabolic brain disease2022

Metabolomics of ischemic stroke: insights into risk prediction and mechanisms.

Ruijie Zhang, Jiajia Meng, Xiaojie Wang, Liyuan Pu, Tian Zhao, Yi Huang, Liyuan Han

Abstract readReview
PubMed Publisher
In one paragraph

Review in Metabolic brain disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Corroborated evidence on change of metabolome after ischemic stroke due to large vessel occlusion.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Metabolomics: A useful tool for ischemic stroke research.Journal of pharmaceutical analysis · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
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.

Ruijie Zhang *Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, Zhejiang, China.
Jiajia Meng *Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, Zhejiang, China.
Xiaojie WangDepartment of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518067, Guangdong, China.
Liyuan PuHwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, Zhejiang, China.
Tian ZhaoHwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, Zhejiang, China.
Yi HuangDepartment of Neurosurgery, Ningbo First Hospital, Ningbo, 315010, Zhejiang, China. huangy102@gmail.com.
Liyuan HanHwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010, Zhejiang, China. hanliyuan@ucas.ac.cn.ORCID http://orcid.org/0000-0001-9532-5622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke (IS) is the most prevalent type of stroke. The early diagnosis and prognosis of IS are crucial for successful therapy and early intervention. Metabolomics, a tool in systems biology based on several innovative technologies, can be used to identify disease biomarkers and unveil underlying pathophysiological processes. Accordingly, in recent years, an increasing number of studies have identified metabolites from cerebral ischemia patients and animal models that could improve the diagnosis of IS and prediction of its outcome. In this paper, metabolomic research is comprehensively reviewed with a focus on describing the metabolic changes and related pathways associated with IS. Most clinical studies use biofluids (e.g., blood or plasma) because their collection is minimally invasive and they are ideal for analyzing changes in metabolites in patients of IS. We review the application of animal models in metabolomic analyses aimed at investigating potential mechanisms of IS and developing novel therapeutic approaches. In addition, this review presents the strengths and limitations of current metabolomic studies on IS, providing a reference for future related studies.

Indexed as

Brain IschemiaIschemic StrokeStrokeAnimalsBiomarkersMetabolomicsBiomarkersBiomarkersIschemic strokeMetabolismMetabolomicsMolecular diagnosisStroke

Identifiers

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.