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Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration
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 diag...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627962/ https://www.ncbi.nlm.nih.gov/pubmed/37942417 http://dx.doi.org/10.3389/fmed.2023.1215180 |
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author | Chen, Jingjing Jiang, Xiaolong Gao, Xin Wu, Wen Gu, Zhengsheng Yin, Ge Sun, Rui Li, Jiasi Wang, Ruoru Zhang, Hailing Du, Bingying Bi, Xiaoying |
author_facet | Chen, Jingjing Jiang, Xiaolong Gao, Xin Wu, Wen Gu, Zhengsheng Yin, Ge Sun, Rui Li, Jiasi Wang, Ruoru Zhang, Hailing Du, Bingying Bi, Xiaoying |
author_sort | Chen, Jingjing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10627962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106279622023-11-08 Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration Chen, Jingjing Jiang, Xiaolong Gao, Xin Wu, Wen Gu, Zhengsheng Yin, Ge Sun, Rui Li, Jiasi Wang, Ruoru Zhang, Hailing Du, Bingying Bi, Xiaoying Front Med (Lausanne) Medicine 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. Frontiers Media S.A. 2023-10-24 /pmc/articles/PMC10627962/ /pubmed/37942417 http://dx.doi.org/10.3389/fmed.2023.1215180 Text en Copyright © 2023 Chen, Jiang, Gao, Wu, Gu, Yin, Sun, Li, Wang, Zhang, Du and Bi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Chen, Jingjing Jiang, Xiaolong Gao, Xin Wu, Wen Gu, Zhengsheng Yin, Ge Sun, Rui Li, Jiasi Wang, Ruoru Zhang, Hailing Du, Bingying Bi, Xiaoying Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title | Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title_full | Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title_fullStr | Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title_full_unstemmed | Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title_short | Ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
title_sort | ferroptosis-related genes as diagnostic markers for major depressive disorder and their correlations with immune infiltration |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627962/ https://www.ncbi.nlm.nih.gov/pubmed/37942417 http://dx.doi.org/10.3389/fmed.2023.1215180 |
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