Evidence map›Paper›PMID 35348996›Full record

ArticleMolecular neurobiology2022

A Combined Proteomics and Metabolomics Profiling to Investigate the Genetic Heterogeneity of Autistic Children.

Liming Shen, Huajie Zhang, Jing Lin, Yan Gao, Margy Chen, Naseer Ullah Khan, Xiaoxiao Tang, Qi Hong, Chengyun Feng, Yuxi Zhao and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Liming ShenCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Huajie ZhangCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Jing LinCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Yan GaoMaternal and Child Health Hospital of Baoan, Shenzhen, 518100, People's Republic of China.
Margy ChenDepartment of Psychology, Emory University, Atlanta, GA, 30322, USA.
Naseer Ullah KhanCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Xiaoxiao TangCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Qi HongMaternal and Child Health Hospital of Baoan, Shenzhen, 518100, People's Republic of China.
Chengyun FengMaternal and Child Health Hospital of Baoan, Shenzhen, 518100, People's Republic of China.
Yuxi Zhao *College of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China. 2638580552@qq.com.
Xueshan Cao *College of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China. cxsh1021@szu.edu.cn.ORCID http://orcid.org/0000-0002-0905-8239
Shenzhen University · CNMaternal and Child Health Care Hospital of Bao'an · CNEmory University · US

Funding

National Natural Science Foundation of China No. 31870825Shenzhen Bureau of Science, Technology, and Information No. JCYJ20170412110026229Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions No. 2021SHIBS0003
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) has become one of the most common neurological developmental disorders in children. However, the study of ASD diagnostic markers faces significant challenges due to the existence of heterogeneity. In this study, genetic testing was performed on children who were clinically diagnosed with ASD. Children with ASD susceptibility genes and healthy controls were studied. The proteomics of plasma and peripheral blood mononuclear cells (PBMCs) as well as plasma metabolomics were carried out. The results showed that although there was genetic heterogeneity in children with ASD, the differentially expressed proteins (DEPs) in plasma, peripheral blood mononuclear cells, and differential metabolites in plasma could still effectively distinguish autistic children from controls. The mechanism associated with them focuses on several common and previously reported mechanisms of ASD. The biomarkers for ASD diagnosis could be found by taking differentially expressed proteins and differential metabolites into consideration. Integrating omics data, glycerophospholipid metabolism and N-glycan biosynthesis might play a critical role in the pathogenesis of ASD.

Indexed as

Autism Spectrum DisorderAutistic DisorderChildGenetic HeterogeneityHumansLeukocytes, MononuclearMetabolomicsProteomicsAutism spectrum disorderBiomarkerHeterogeneityMetabolomicsPeripheral blood mononuclear cellsPlasmaProteomics

Identifiers

PMID35348996
OpenAlexW4225471012

What Socratic 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 Socratic graph.