Evidence map›Paper›PMID 39426956›Full record

ArticleTranslational psychiatry2024

Novel therapeutic targets for major depressive disorder related to oxidative stress identified by integrative multi-omics and multi-trait study.

Xiaojun Shao, Yuan Wang, Zhongli Geng, Guangming Liang, Xiaotong Zhu, Lu Liu, Ming Meng, Li Duan, Gang Zhu

Abstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

9 authors.

Xiaojun Shao *Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Yuan Wang *Department of Psychiatry, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Zhongli GengDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Guangming LiangShenyang Mental Health Center, Shenyang, 110168, China.
Xiaotong ZhuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Lu LiuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Ming MengDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Li DuanDepartment of Health Management Research, Chengde Medical University, Chengde, 067000, China.
Gang ZhuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China. gzhu@cmu.edu.cn.ORCID 0000-0001-6967-8336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress (OS) is strongly implicated in the pathophysiology of major depressive disorder (MDD) but the molecular mechanisms remain largely unknown. The purpose of this study is to identify genes related to both OS and MDD, and further to evaluate the utility of these genes as diagnostic markers and potential treatment targets. We searched datasets related to MDD from the Gene Expression Omnibus (GEO) database for differentially expressed genes (DEGs) also related to OS according to GeneCards. Bioinformatics analyses and machine learning algorithms were used to identify hub genes mediating OS-MDD interactions. A summary data-based Mendelian randomization (SMR) approach was employed to identify possible causal genes for MDD from blood tissue eQLT data. These investigations identified 32 genes mediating OS-MDD interactions, while SMR analysis identified KCNE1 (OR = 1.057, 95%CI = 1.013-1.102, P value = 0.010), MAPK3 (OR = 1.023, 95%CI = 1.004-1.043, P value = 0.020), and STIP1 (OR = 0.792, 95%CI = 0.641-0.979, P value = 0.031) as OS-related causal genes for MDD. These genes may thus serve as useful diagnostic markers and potential therapeutic targets.

Indexed as

Major Depressive DisorderOxidative StressComputational BiologyHumansMachine LearningMendelian Randomization AnalysisMultiomics

Identifiers

PMID39426956
PMCPMC11490649

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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.