Evidence map›Paper›PMID 37122289›Full record

ArticleFrontiers in neurology2023

Targeted metabolomics reveals serum changes of amino acids in mild to moderate ischemic stroke and stroke mimics.

Shuxin Tao, Xinxing Xiao, Xin Li, Fan Na, Guo Na, Shuang Wang, Pin Zhang, Fang Hao, Peiran Zhao, Dong Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Searching for Metabolic Markers of Stroke in Human Plasma via NMR Analysis.International journal of molecular sciences · 2023
    Article
  11. 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

12 authors at 4 institutions in 1 country.

Shuxin TaoDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Xinxing XiaoDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Xin LiDepartment of Clinical Laboratory, Zibo Central Hospital, Zibo, Shandong, China.
Fan NaZhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Liaocheng, China.
Guo NaExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Shuang WangZhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Liaocheng, China.
Pin ZhangExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Fang HaoDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Peiran ZhaoZhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Liaocheng, China.
Dong GuoDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Xuewu LiuDepartment of Neurology, Qilu Hospital of Shandong University, Institute of Epilepsy, Shandong University, Jinan, Shandong, China.
Dawei YangZhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Liaocheng, China.
Liaocheng People's Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCentral Hospital of Zibo · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathophysiological processes linked to an acute ischemic stroke (IS) can be reflected in the circulating metabolome. Amino acids (AAs) have been demonstrated to be one of the most significant metabolites that can undergo significant alteration after a stroke. Methods: We sought to identify the potential biomarkers for the early detection of IS using an extensive targeted technique for reliable quantification of 27 different AAs based on ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). A cohort with 216 participants was enrolled, including 70 mild to moderate ischemic stroke patients (National Institutes of Health Stroke Scale < 15, MB group), 76 stroke mimics (MM group) and 70 healthy controls (NC group). Results: It was found that upon comparing MB and MM to control patients, AAs shifts were detected Conclusion: Overall, alternations in serum AAs are characteristic metabolic features of MB and MM. AAs could serve as promising biomarkers for the early diagnosis of MB patients since mild to moderate IS patients were enrolled in the study. The metabolism of AAs can be considered as a key indicator for both the prevention and treatment of IS.

Indexed as

amino acidsbiomarkerischemic strokestroke mimicstargeted metabolomics

Identifiers

PMID37122289
PMCPMC10140586
OpenAlexW4365516732

What OpenQuestion holds

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Registered trials

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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.