Evidence map›Paper›PMID 37664242›Full record

ArticleFrontiers in molecular neuroscience2023

Targeting the metabolic profile of amino acids to identify the key metabolic characteristics in cerebral palsy.

Dan Wang, Juan Song, Ye Cheng, Yiran Xu, Lili Song, Yimeng Qiao, Bingbing Li, Lei Xia, Ming Li, Jin Zhang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. [Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Review
  2. 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

17 authors at 5 institutions in 2 countries.

Dan WangChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Juan SongHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Ye ChengChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Yiran XuHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Lili SongObstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Yimeng QiaoChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Bingbing LiHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Lei XiaHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Ming LiHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Jin ZhangChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Yu SuChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Ting WangChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Jian DingChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Xiaoyang WangHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Sujuan WangChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Changlian ZhuHenan Key Laboratory of Child Brain Injury and Henan Pediatric Clinical Research Center, Department of Pediatrics, The 3rd Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, China.
Qinghe XingChildren's Hospital of Fudan University and Institutes of Biomedical Sciences of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CNZhengzhou University · CNNational Center for Women and Children’s Health, China CDC · CNObstetrics and Gynecology Hospital of Fudan University · CNUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebral palsy (CP) is a neurodevelopmental disorder characterized by motor impairment. In this study, we aimed to describe the characteristics of amino acids (AA) in the plasma of children with CP and identify AA that could play a potential role in the auxiliary diagnosis and treatment of CP. Methods: Using high performance liquid chromatography, we performed metabolomics analysis of AA in plasma from 62 CP children and 60 healthy controls. Univariate and multivariate analyses were then applied to characterize different AA. AA markers associated with CP were then identified by machine learning based on the Lasso regression model for the validation of intra-sample interactions. Next, we calculated a discriminant formula and generated a receiver operating characteristic (ROC) curve based on the marker combination in the discriminant diagnostic model. Results: A total of 33 AA were detected in the plasma of CP children and controls. Compared with controls, 5, 7, and 10 different AA were identified in total participants, premature infants, and full-term infants, respectively. Of these, β-amino-isobutyric acid [ Conclusion: Full-spectrum analysis of amino acid metabolomics revealed a distinct profile in CP, including reductions in the levels of β-amino-isobutyric acid, tryptophan, and taurine. Our findings shed new light on the pathogenesis and diagnosis of premature infants with CP.

Indexed as

amino acid metabolismbiomarkercerebral palsydiagnosispreterm birthtargeted quantificationtryptophanβ-amino-isobutyric acid

Identifiers

PMID37664242
PMCPMC10470834
OpenAlexW4385981897

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.