Evidence map›Paper›PMID 38049797›Full record

ArticleBMC medicine2023

Cortical structural changes of morphometric similarity network in early-onset schizophrenia correlate with specific transcriptional expression patterns.

Guanqun Yao, Ting Zou, Jing Luo, Shuang Hu, Langxiong Yang, Jing Li, Xinrong Li, Yuqi Zhang, Kun Feng, Yong Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-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

22 citing papers in PubMed, 25 citations in OpenAlex.

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  19. Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025
    Review
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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 6 institutions in 1 country.

Guanqun Yao *School of Medicine, Tsinghua University, Beijing, 100084, China.
Ting Zou *School of Life Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jing Luo *School of Medicine, Tsinghua University, Beijing, 100084, China.
Shuang HuShanghai Mental Health Center, Shanghai, 200030, China.
Langxiong YangSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Jing LiCollege of Humanities and Social Science, Shanxi Medical University, Taiyuan, 030001, China.
Xinrong LiDepartment of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Yuqi ZhangSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Kun FengSchool of Medicine, Tsinghua University, Beijing, 100084, China. jakeyfk@163.com.
Yong XuSchool of Mental Health, Shanxi Medical University, Taiyuan, 030001, China. xuyong@sxmu.edu.cn.
Pozi LiuSchool of Medicine, Tsinghua University, Beijing, 100084, China. liupozi@tsinghua.edu.cn.
Tsinghua University · CNBeijing Shijingshan Hospital · CNShanxi Medical University · CNFirst Hospital of Shanxi Medical University · CNShanghai Mental Health Center · CNUniversity of Electronic Science and Technology of China · CN

Funding

National Natural Science Foundation of China 81571319)National Natural Science Foundation of China (81971601Tsinghua University Spring Breeze Fund 2021Z99CFY036
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the neuroanatomical subtypes among early-onset schizophrenia (EOS) patients by exploring the association between structural alterations and molecular mechanisms using a combined analysis of morphometric similarity network (MSN) changes and specific transcriptional expression patterns.

methodsWe recruited 206 subjects aged 7 to 17 years, including 100 EOS patients and 106 healthy controls (HC). Heterogeneity through discriminant analysis (HYDRA) was used to identify the EOS subtypes within the MSN strength. The differences in morphometric similarity between each EOS subtype and HC were compared. Furthermore, we examined the link between morphometric changes and brain-wide gene expression in different EOS subtypes using partial least squares regression (PLS) weight mapping, evaluated genetic commonalities with psychiatric disorders, identified functional enrichments of PLS-weighted genes, and assessed cellular transcriptional signatures.

resultsTwo distinct MSN-based EOS subtypes were identified, each exhibiting different abnormal MSN strength and cognitive functions compared to HC. The PLS1 score mapping demonstrated anterior-posterior gradients of gene expression in EOS1, whereas inverse distributions were observed in EOS2 cohorts. Genetic commonalities were identified in autistic disorder and adult schizophrenia with EOS1 and inflammatory bowel diseases with EOS2 cohorts. The EOS1 PLS1- genes (Z < -5) were significantly enriched in synaptic signaling-related functions, whereas EOS2 demonstrated enrichments in virtual infection-related pathways. Furthermore, the majority of observed associations with EOS1-specific MSN strength differences contributed to specific transcriptional changes in astrocytes and neurons.

conclusionsThe findings of this study provide a comprehensive analysis of neuroanatomical subtypes in EOS, shedding light on the intricate relationships between macrostructural and molecular aspects of the EOS disease.

Indexed as

SchizophreniaAdultBrainCognitionHumansMagnetic Resonance ImagingCell type-specific signaturesEarly-onset schizophreniaMorphometric similarity networkNeuroanatomical subtypesTranscriptional signatures

Identifiers

PMID38049797
PMCPMC10696871
OpenAlexW4389326295

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LicenceCC BY
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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.