Evidence map›Paper›PMID 34455470›Full record

SynthesisJournal of neurology2022

Genes associated with grey matter volume reduction in multiple sclerosis.

Jie Sun, Yingying Xie, Qiuhui Wang, Junlin Shen, Wen Qin, Ningnannan Zhang, Chunshui Yu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 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

7 authors at 2 institutions in 1 country.

Jie Sun *Department of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yingying Xie *Department of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Qiuhui WangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Junlin ShenDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Wen QinDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
Ningnannan ZhangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China. znnn2010@sina.com.
Chunshui YuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China. chunshuiyu@tmu.edu.cn.
Tianjin Medical University General Hospital · CNCenter for Excellence in Brain Science and Intelligence Technology · CN

Funding

National Key Research and Development Program of China 2018YFC1314300National Natural Science Foundation of China 81425013National Natural Science Foundation of China 82030053National Natural Science Foundation of China 82071907Natural Science Foundation of Tianjin City 18JCQNJC80200Research Fund for Young Scholars of Tianjin Medical University General Hospital ZYYFY2019004Tianjin Health Commission Science and Technology Talent Cultivation Project KJ20102Tianjin Key Technology R&D Program 17ZXMFSY00090
6 · The paper itself

Abstract

There is extensive grey matter volume (GMV) reduction in multiple sclerosis (MS), which may account for cognitive impairment in this disabling disorder. Although genome-wide association studies (GWASs) have identified hundreds of genes associated with MS, we know little about which genes associated with GMV reduction and cognitive decline in MS. In the present study, we aimed to uncover genes associated with GMV reduction in MS by performing cross-sample (1473 brain tissue samples) partial least squares regression between gene expression from 6 postmortem brains and case-control GMV difference of MS from a meta-analysis of 1391 patients and 1189 controls (discovery phase) and from the intergroup comparison between 69 patients and 70 controls (replication phase). We identified 623 genes whose brain spatial expression profiles were significantly associated with GMV reduction in MS. These genes showed significant enrichment for MS-related genes identified by GWAS; were functionally associated with ion channel, synaptic transmission, axon and neuron projection; and showed more significant cell type-specific expression in neurons than other cell types. More importantly, the identified genes showed significant enrichment for those genes with downregulated rather than upregulated expression in MS. The spatial distribution patterns of the expression of the identified genes showed more significant correlations with brain activation patterns of memory and language tasks. These findings indicate that grey matter atrophy in MS may be resulted from the joint effects of multiple genes that are associated with this disorder, especially genes with downregulated expression in MS.

Indexed as

Multiple SclerosisWhite MatterAtrophyBrainGenome-Wide Association StudyGray MatterHumansMagnetic Resonance ImagingAllen human brain atlasGene expressionGray matter volumeMultiple sclerosisPartial least squares regression

Identifiers

PMID34455470
OpenAlexW3197736425

What OpenQuestion 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 OpenQuestion graph.