Evidence map›Paper›PMID 30968596›Full record

ArticleMolecular genetics & genomic medicine2019

Prioritization and comprehensive analysis of genes related to major depressive disorder.

Yi Liu, Pengfei Fan, Shiyuan Zhang, Yidan Wang, Dan Liu

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 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
0.9field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  6. Network Pharmacology and Molecular Docking Analyses of Mechanisms Underlying Effects of theEvidence-based complementary and alternative medicine : eCAM · 2021
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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

5 authors at 3 institutions in 1 country.

Yi LiuICU, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P.R. China.
Pengfei FanOrgan Transplant Center, Tianjin First Central Hospital, Tianjin, P.R. China.
Shiyuan ZhangICU, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P.R. China.ORCID 0000-0003-0661-580X
Yidan WangClinical Practice Teaching Center, Tianjin University of Traditional Chinese Medicine, Tianjin, P.R. China.
Dan LiuAcupuncture Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P.R. China.
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine · CNTianjin First Center Hospital · CNTianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is a serious mental health problem in modern society, which is difficult to identify and diagnose in the early stages. Despite strong evidence supporting the heritability of MDD, progresses in large-scale and individual genetic studies remain preliminary.

methodsIn this study, a multi-data source-based prioritization (MDSP) method was proposed, and an appropriate threshold was determined for the optimization of depression-related genes (DEPgenes). Analyses on Gene Ontology biological processes, KEGG pathway and the specific pathway crosstalk network were further proposed.

resultsA total of 143 DEPgenes were identified and the MDD-specific network was constructed for the pathogenesis investigation and therapeutic methods development of MDD. Comparing with existing research strategies, the genetic optimization and analysis results were confirmed to be reliable. Finally, the pathway enrichment and crosstalk analyses revealed two unique pathway interaction modules that were significantly enriched with MDD genes. The related core pathways of neuroactive ligand-receptor interaction and dopaminergic synapse supported the neuropathology hypothesis of MDD. And the pathways of serotonergic synapse and morphine addiction indicated the mechanism of drug addiction caused by serotonin used in the treatment.

conclusionsThis work provided a reference for the study of MDD, although future validation by extensive experimentation is still required.

Indexed as

Computational BiologyDatabases, GeneticGene OntologyGene Regulatory NetworksGenome-Wide Association StudyHumansMajor Depressive DisorderPolymorphism, Single Nucleotidegene ontologyKEGG pathwaymajor depressive disordermulti-data-source based prioritization

Identifiers

PMID30968596
PMCPMC6565567
OpenAlexW2938595437

What Socratic holds

Textmetadata
LicenceCC BY
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.