Evidence map›Paper›PMID 31649562›Full record

ArticleFrontiers in psychiatry2019

Integrated Analysis of Brain Transcriptome Reveals Convergent Molecular Pathways in Autism Spectrum Disorder.

Xiaodan Li, Yuncong Zhang, Luxi Wang, Yunqing Lin, Zhaomin Gao, Xiaolei Zhan, Yan Huang, Caihong Sun, Dong Wang, Shuang Liang and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Xiaodan LiDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Yuncong ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Luxi WangDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Yunqing LinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhaomin GaoDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Xiaolei ZhanDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Yan HuangDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Caihong SunDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Dong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Shuang LiangDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.
Lijie WuDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a set of complex neurodevelopmental disorders with etiology that remains elusive. Although there is a mounting body of investigation in different brain regions related to ASD, our knowledge about the common and distinct perturb condition between them is at the threshold of accumulation. In this study, based on protein-protein interactions, post-mortem transcriptome analysis was performed with corpus callosum (CC) and prefrontal cortex (PFC) samples from ASD individuals and controls. Co-expression network analysis revealed that a total of seven (four for CC set, three for PFC set) core dysfunctional modules strongly enriched for known ASD-risk genes. Three quarters of them in CC set (M4, M6, M29) significantly enriched for genes annotated by genetically associated variants in our previous whole genome sequencing data. We further determined transcriptional and post-transcriptional regulation subnetwork for each ASD-correlated module, including 47 pivot transcription factors, 130 pivot miRNAs, and 7 pivot lncRNAs. Moreover, there were significantly more interactions between CC-M4, -M6, and PFC-M2, mainly involved in synaptic functions and neuronal development. Our integrated multifactor analysis of ASD brain transcriptome profile illustrated underlying common and distinct molecular mechanisms and the module crosstalk between CC and PFC, helping to shed light on the molecular neuropathological underlying ASD.

Indexed as

autism spectrum disordercorpus callosumprefrontal cortexprotein interaction networkWGCNA

Identifiers

PMID31649562
PMCPMC6795181

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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.