Evidence map›Paper›PMID 37942417›Full record

ArticleFrontiers in medicine2023

Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration.

Jingjing Chen, Xiaolong Jiang, Xin Gao, Wen Wu, Zhengsheng Gu, Ge Yin, Rui Sun, Jiasi Li, Ruoru Wang, Hailing Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. 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
2.8field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Yi-Nao-Jie-Yu Prescription Relieves Post-Stroke Depression by Mitigating Ferroptosis in Hippocampal Neurons Via Activating the Nrf2/GPX4/SLC7A11 Pathway.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2025
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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

12 authors at 1 institution in 1 country.

Jingjing Chen *Department of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Xiaolong Jiang *Department of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, Shanghai, China.
Xin Gao *Department of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Wen WuDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Zhengsheng GuDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Ge YinDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Rui SunDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Jiasi LiDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Ruoru WangDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Hailing ZhangDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Bingying DuDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Xiaoying BiDepartment of Neurology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depression disorder (MDD) is a devastating neuropsychiatric disease, and one of the leading causes of suicide. Ferroptosis, an iron-dependent form of regulated cell death, plays a pivotal role in numerous diseases. The study aimed to construct and validate a gene signature for diagnosing MDD based on ferroptosis-related genes (FRGs) and further explore the biological functions of these genes in MDD. Methods: The datasets were downloaded from the Gene Expression Omnibus (GEO) database and FRGs were obtained from the FerrDb database and other literatures. Least absolute shrinkage and selection operator (LASSO) regression and stepwise logistic regression were performed to develop a gene signature. Receiver operating characteristic (ROC) curves were utilized to assess the diagnostic power of the signature. Gene ontology (GO) enrichment analysis was used to explore the biological roles of these diagnostic genes, and single sample gene set enrichment analysis (ssGSEA) algorithm was used to evaluate immune infiltration in MDD. Animal model of depression was constructed to validate the expression of the key genes. Results: Eleven differentially expressed FRGs were identified in MDD patients compared with healthy controls. A signature of three FRGs (ALOX15B, RPLP0, and HP) was constructed for diagnosis of MDD. Afterwards, ROC analysis confirmed the signature's discriminative capacity (AUC = 0.783, 95% CI = 0.719-0.848). GO enrichment analysis revealed that the differentially expressed genes (DEGs) related to these three FRGs were mainly involved in immune response. Furthermore, spearman correlation analysis demonstrated that these three FRGs were associated with infiltrating immune cells. ALOX15B and HP were significantly upregulated and RPLP0 was significantly downregulated in peripheral blood of the lipopolysaccharide (LPS)-induced depressive model. Conclusion: Our results suggest that the novel FRG signature had a good diagnostic performance for MDD, and these three FRGs correlated with immune infiltration in MDD.

Indexed as

diagnostic biomarkersferroptosisGEO databaseimmune infiltrationmajor depression disorder

Identifiers

PMID37942417
PMCPMC10627962
OpenAlexW4387899986

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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.