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Liu M, Li H, Huo Z, Chen H, Kang X, Xu B. Bioinformatics Research and qRT-PCR Verify Hub Genes and a Transcription Factor-MicroRNA Feedback Network in Intervertebral Disc Degeneration. Appl Biochem Biotechnol 2024; 196:3184-3198. [PMID: 37632659 DOI: 10.1007/s12010-023-04699-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2023] [Indexed: 08/28/2023]
Abstract
The present study explores the potentials of bioinformatics analysis to identify hub genes linked to intervertebral disc degeneration (IDD) and explored the potential molecular mechanism of transcription factor-microRNA regulatory network. Furthermore, the hub genes were identified through quantitative reverse transcriptase PCR (qRT-PCR). GEO database expression profile datasets for candidate genes (GSE124272) were downloaded. Genes that were differentially expressed (DEGs) were detected utilizing limma technique in the R programming language. Search Tool for the Retrieval of Interacting Genes/Proteins and NetworkAnalyst software identified hub genes. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis as well as Gene Ontology annotation of the DEGs were performed using Metascape. Using Bioinformatics data from the TRRUST, StarBase, and TransmiR databases, a TF-miRNA-hub genes network was constructed. qRT-PCR was utilized to confirm the result. As compared to healthy persons, 521 DEGs, comprising 203 down-regulated and 318 up-regulated genes, as well as 7 core genes, were found in people with IDD. Analysis revealed that all seven essential genes were under-expressed. qRT-PCR further confirmed the low expression of these seven important genes. Based on the TRRUST database, 16 TFs that could target five junction genes were then predicted. According to the StarBase database, four miRNAs were linked to crucial genes, while the TransmiR database predicted regulatory connections between four miRNAs and five TFs. The expression of the TP53-(hsa-miR-183-5p)-CCNB1 TF-miRNA-mRNA interaction network was discovered to be correlated with IDD. Throughout this investigation, a network of TF-miRNA-mRNA connections was built for investigation of the probable molecular mechanisms responsible for IDD. The identification of hub genes associated with IDD may reveal promising IDD treatment strategies.
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Affiliation(s)
- Mingli Liu
- Graduate School, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300211, China
| | - Hao Li
- Graduate School, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300211, China
| | - Zhenxin Huo
- Graduate School, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300211, China
| | - Houcong Chen
- Graduate School, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300211, China
| | - Xinjian Kang
- Graduate School, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300211, China
| | - Baoshan Xu
- Department of Minimally Invasive Spine Surgery, Tianjin Hospital, No. 406 Jiefangnan Road, Hexi District, Tianjin, 300211, China.
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Wu X, Li J, Chai S, Li C, Lu S, Bao S, Yu S, Guo H, He J, Peng Y, Sun H, Wang L. Integrated analysis and validation of ferroptosis-related genes and immune infiltration in acute myocardial infarction. BMC Cardiovasc Disord 2024; 24:123. [PMID: 38402377 PMCID: PMC10893752 DOI: 10.1186/s12872-023-03622-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/17/2023] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Acute myocardial infarction (AMI) is indeed a significant cause of mortality and morbidity in individuals with coronary heart disease. Ferroptosis, an iron-dependent cell death, is characterized by the accumulation of intracellular lipid peroxides, which is implicated in cardiomyocyte injury. This study aims to identify biomarkers that are indicative of ferroptosis in the context of AMI, and to examine their potential roles in immune infiltration. METHODS Firstly, the GSE59867 dataset was used to identify differentially expressed ferroptosis-related genes (DE-FRGs) in AMI. We then performed gene ontology (GO) and functional enrichment analysis on these DE-FRGs. Secondly, we analyzed the GSE76591 dataset and used bioinformatic methods to build ceRNA networks. Thirdly, we identified hub genes in protein-protein interaction (PPI) network. After obtaining the key DE-FRGs through the junction of hub genes with ceRNA and least absolute shrinkage and selection operator (LASSO). ImmucellAI was applied to estimate the immune cell infiltration in each sample and examine the relationship between key DE-FRGs and 24 immunocyte subsets. The diagnostic performance of these genes was further evaluated using the receiver operating characteristic (ROC) curve analysis. Ultimately, we identified an immune-related ceRNA regulatory axis linked to ferroptosis in AMI. RESULTS Among 56 DE-FRGs identified in AMI, 41 of them were integrated into the construction of competitive endogenous RNA (ceRNA) networks. TLR4 and PIK3CA were identified as key DE-FRGs and PIK3CA was confirmed as a diagnostic biomarker for AMI. Moreover, CD4_native cells, nTreg cells, Th2 cells, Th17 cells, central-memory cells, effector-memory cells, and CD8_T cells had higher infiltrates in AMI samples compared to control samples. In contrast, exhausted cells, iTreg cells, and Tfh cells had lower infiltrates in AMI samples. Spearman analysis confirmed the correlation between 24 immune cells and PIK3CA/TLR4. Ultimately, we constructed an immune-related regulatory axis involving XIST and OIP5-AS1/miR-216a/PIK3CA. CONCLUSION Our comprehensive analysis has identified PIK3CA as a robust and promising biomarker for this condition. Moreover, we have also identified an immune-related regulatory axis involving XIST and OIP5-AS1/miR-216a/PIK3CA, which may play a key role in regulating ferroptosis during AMI progression.
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Affiliation(s)
- Xinyu Wu
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jingru Li
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shengjie Chai
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Chaguo Li
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Si Lu
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Suli Bao
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shuai Yu
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hao Guo
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jie He
- Department of Nephrology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yunzhu Peng
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Huang Sun
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Luqiao Wang
- Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Lu D, Cai H, Li Y, Chang W, Liu X, Dai Q, Yu W, Chen W, Qiao G, Xie H, Xiao X, Li Z. Investigating the ID3/SLC22A4 as immune-related signatures in ischemic stroke. Aging (Albany NY) 2023; 15:14803-14829. [PMID: 38112574 PMCID: PMC10781493 DOI: 10.18632/aging.205308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/03/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Ischemic stroke (IS) is a fearful disease that can cause a variety of immune events. Nevertheless, precise immune-related mechanisms have yet to be systematically elucidated. This study aimed to identify immune-related signatures using machine learning and to validate them with animal experiments and single cell analysis. METHODS In this study, we screened 24 differentially expressed genes (DEGs) while identifying immune-related signatures that may play a key role in IS development through a comprehensive strategy between least absolute shrinkage and selection operation (LASSO) regression, support vector machine (SVM) and immune-related genes. In addition, we explored immune infiltration using the CIBERSORT algorithm. Finally, we performed validation in mouse brain tissue and single cell analysis. RESULTS We identified 24 DEGs for follow-up analysis. ID3 and SLC22A4 were finally identified as the better immune-related signatures through a comprehensive strategy among DEGs, LASSO, SVM and immune-related genes. RT-qPCR, western blot, and immunofluorescence revealed a significant decrease in ID3 and a significant increase in SLC22A4 in the middle cerebral artery occlusion group. Single cell analysis revealed that ID3 was mainly concentrated in endothelial_2 cells and SLC22A4 in astrocytes in the MCAO group. A CIBERSORT finds significantly altered levels of immune infiltration in IS patients. CONCLUSIONS This study focused on immune-related signatures after stroke and ID3 and SLC22A4 may be new therapeutic targets to promote functional recovery after stroke. Furthermore, the association of ID3 and SLC22A4 with immune cells may be a new direction for post-stroke immunotherapy.
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Affiliation(s)
- Dading Lu
- Department of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
- Department of Neurology, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
- Department of Neurosurgery, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
| | - Heng Cai
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Yugang Li
- Department of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
| | - Wenyuan Chang
- Department of Neurology, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
| | - Xiu Liu
- The First Clinical College, China Medical University, Shenbei, Shenyang, China
| | - Qiwei Dai
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Wanning Yu
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Wangli Chen
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Guomin Qiao
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Haojie Xie
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Xiong Xiao
- Department of Neurosurgery, Shengjing Hospital, Shenyang, China medical University, Heping, Shenyang, China
| | - Zhiqing Li
- Department of Stroke Center, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
- Department of Neurology, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
- Department of Neurosurgery, The First Hospital of China Medical University, Heping, Shenyang, Liaoning, China
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Li X, Tan Y, Liu B, Guo H, Zhou Y, Yuan J, Wang F. Mitochondrial Lipid Metabolism Genes as Diagnostic and Prognostic Indicators in Hepatocellular Carcinoma. Curr Genomics 2023; 24:110-127. [PMID: 37994323 PMCID: PMC10662382 DOI: 10.2174/1389202924666230914110649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/14/2023] [Accepted: 08/09/2023] [Indexed: 11/24/2023] Open
Abstract
Background Due to the heterogeneity of Hepatocellular carcinoma (HCC), there is an urgent need for reliable diagnosis and prognosis. Mitochondria-mediated abnormal lipid metabolism affects the occurrence and progression of HCC. Objective This study aims to investigate the potential of mitochondrial lipid metabolism (MTLM) genes as diagnostic and independent prognostic biomarkers for HCC. Methods MTLM genes were screened from the Gene Expression Omnibus (GEO) and Gene Set Enrichment Analysis (GSEA) databases, followed by an evaluation of their diagnostic values in both The Cancer Genome Atlas Program (TCGA) and the Affiliated Cancer Hospital of Guangxi Medical University (GXMU) cohort. The TCGA dataset was utilized to construct a gene signature and investigate the prognostic significance, immune infiltration, and copy number alterations. The validity of the prognostic signature was confirmed through GEO, International Cancer Genome Consortium (ICGC), and GXMU cohorts. Results The diagnostic receiver operating characteristic (ROC) curve revealed that eight MTLM genes have excellent diagnostic of HCC. A prognostic signature comprising 5 MTLM genes with robust predictive value was constructed using the lasso regression algorithm based on TCGA data. The results of the Stepwise regression model showed that the combination of signature and routine clinical parameters had a higher area under the curve (AUC) compared to a single risk score. Further, a nomogram was constructed to predict the survival probability of HCC, and the calibration curves demonstrated a perfect predictive ability. Finally, the risk score also unveiled the different immune and mutation statuses between the two different risk groups. Conclusion MTLT-related genes may serve as diagnostic and prognostic biomarkers for HCC as well as novel therapeutic targets, which may be beneficial for facilitating further understanding the molecular pathogenesis and providing potential therapeutic strategies for HCC.
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Affiliation(s)
- Xuejing Li
- Department of Physiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Research Center for Biomedical Photonics, Institute of Life Science, Guangxi Medical University, Nanning, China
| | - Ying Tan
- Department of Physiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Research Center for Biomedical Photonics, Institute of Life Science, Guangxi Medical University, Nanning, China
| | - Bihan Liu
- Research Center for Biomedical Photonics, Institute of Life Science, Guangxi Medical University, Nanning, China
| | - Houtian Guo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
| | - Yongjian Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
| | - Jianhui Yuan
- Department of Physiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Research Center for Biomedical Photonics, Institute of Life Science, Guangxi Medical University, Nanning, China
| | - Feng Wang
- Research Center for Biomedical Photonics, Institute of Life Science, Guangxi Medical University, Nanning, China
- Key Laboratory of Biological Molecular Medicine Research, Guangxi Medical University, Education Department of Guangxi Zhuang Autonomous Region, Nanning, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
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Zhang Z, Huo J, Ji X, Wei L, Zhang J. GREM1, LRPPRC and SLC39A4 as potential biomarkers of intervertebral disc degeneration: a bioinformatics analysis based on multiple microarray and single-cell sequencing data. BMC Musculoskelet Disord 2023; 24:729. [PMID: 37700277 PMCID: PMC10498557 DOI: 10.1186/s12891-023-06854-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 09/05/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Low back pain (LBP) has drawn much widespread attention and is a major global health concern. In this field, intervertebral disc degeneration (IVDD) is frequently the focus of classic studies. However, the mechanistic foundation of IVDD is unclear and has led to conflicting outcomes. METHODS Gene expression profiles (GSE34095, GSE147383) of IVDD patients alongside control groups were analyzed to identify differentially expressed genes (DEGs) in the GEO database. GSE23130 and GSE70362 were applied to validate the yielded key genes from DEGs by means of a best subset selection regression. Four machine-learning models were established to assess their predictive ability. Single-sample gene set enrichment analysis (ssGSEA) was used to profile the correlation between overall immune infiltration levels with Thompson grades and key genes. The upstream targeting miRNAs of key genes (GSE63492) were also analyzed. A single-cell transcriptome sequencing data (GSE160756) was used to define several cell clusters of nucleus pulposus (NP), annulus fibrosus (AF), and cartilaginous endplate (CEP) of human intervertebral discs and the distribution of key genes in different cell clusters was yielded. RESULTS By developing appropriate p-values and logFC values, a total of 6 DEGs was obtained. 3 key genes (LRPPRC, GREM1, and SLC39A4) were validated by an externally validated predictive modeling method. The ssGSEA results indicated that key genes were correlated with the infiltration abundance of multiple immune cells, such as dendritic cells and macrophages. Accordingly, these 4 key miRNAs (miR-103a-3p, miR-484, miR-665, miR-107) were identified as upstream regulators targeting key genes using the miRNet database and external GEO datasets. Finally, the spatial distribution of key genes in AF, CEP, and NP was plotted. Pseudo-time series and GSEA analysis indicated that the expression level of GREM1 and the differentiation trajectory of NP chondrocytes are generally consistent. GREM1 may mainly exacerbate the degeneration of NP cells in IVDD. CONCLUSIONS Our study gives a novel perspective for identifying reliable and effective gene therapy targets in IVDD.
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Affiliation(s)
- ZhaoLiang Zhang
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - JianZhong Huo
- Taiyuan Central Hospital, Ninth Hospital of Shanxi Medical University, Southern Fendong Road 256, Taiyuan, ShanXi, 030009, China.
| | - XingHua Ji
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - LinDong Wei
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Jinfeng Zhang
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
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Zhang Y, Zhang J, Sun Z, Wang H, Ning R, Xu L, Zhao Y, Yang K, Xi X, Tian J. MAPK8 and CAPN1 as potential biomarkers of intervertebral disc degeneration overlapping immune infiltration, autophagy, and ceRNA. Front Immunol 2023; 14:1188774. [PMID: 37325630 PMCID: PMC10266224 DOI: 10.3389/fimmu.2023.1188774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
Background Intervertebral disc degeneration (IDD) is one of the most common health problems in the elderly and a major causative factor in low back pain (LBP). An increasing number of studies have shown that IDD is closely associated with autophagy and immune dysregulation. Therefore, the aim of this study was to identify autophagy-related biomarkers and gene regulatory networks in IDD and potential therapeutic targets. Methods We obtained the gene expression profiles of IDD by downloading the datasets GSE176205 and GSE167931 from the Gene Expression Omnibus (GEO) public database. Subsequently, differentially expressed genes (DEGs) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, gene ontology (GO), and gene set enrichment analysis (GSEA) were performed to explore the biological functions of DEGs. Differentially expressed autophagy-related genes (DE-ARGs) were then crossed with the autophagy gene database. The hub genes were screened using the DE-ARGs protein-protein interaction (PPI) network. The correlation between the hub genes and immune infiltration and the construction of the gene regulatory network of the hub genes were confirmed. Finally, quantitative PCR (qPCR) was used to validate the correlation of hub genes in a rat IDD model. Results We obtained 636 DEGs enriched in the autophagy pathway. Our analysis revealed 30 DE-ARGs, of which six hub genes (MAPK8, CTSB, PRKCD, SNCA, CAPN1, and EGFR) were identified using the MCODE plugin. Immune cell infiltration analysis revealed that there was an increased proportion of CD8+ T cells and M0 macrophages in IDD, whereas CD4+ memory T cells, neutrophils, resting dendritic cells, follicular helper T cells, and monocytes were much less abundant. Subsequently, the competitive endogenous RNA (ceRNA) network was constructed using 15 long non-coding RNAs (lncRNAs) and 21 microRNAs (miRNAs). In quantitative PCR (qPCR) validation, two hub genes, MAPK8 and CAPN1, were shown to be consistent with the bioinformatic analysis results. Conclusion Our study identified MAPK8 and CAPN1 as key biomarkers of IDD. These key hub genes may be potential therapeutic targets for IDD.
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Affiliation(s)
- Yuxin Zhang
- School of Medicine, Shanghai University, Shanghai, China
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiahui Zhang
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhongyi Sun
- Department of Orthopedics, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Wang
- Department of Orthopaedics, Shanghai Changzheng Hospital, Shanghai, China
| | - Ruonan Ning
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Longyu Xu
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yichen Zhao
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Yang
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaobing Xi
- Department of Orthopaedics, Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiwei Tian
- School of Medicine, Shanghai University, Shanghai, China
- Department of Orthopedics, BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
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Chen T, Zhou Z, Peng M, Hu H, Sun R, Xu J, Zhu C, Li Y, Zhang Q, Luo Y, Yang B, Dai L, Liu Y, Muñoz LE, Meng L, Herrmann M, Zhao Y. Glutathione peroxidase 3 is a novel clinical diagnostic biomarker and potential therapeutic target for neutrophils in rheumatoid arthritis. Arthritis Res Ther 2023; 25:66. [PMID: 37087463 PMCID: PMC10122307 DOI: 10.1186/s13075-023-03043-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/29/2023] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Neutrophils have a critical role in the pathogenesis of rheumatoid arthritis (RA) with immune system dysfunction. However, the molecular mechanisms of this process mediated by neutrophils still remain elusive. The purpose of the present study is to identify hub genes in neutrophils for diagnosis and treatment of RA utilizing publicly available datasets. METHODS Gene expression profiles were downloaded from the Gene Expression Omnibus, and batch-corrected and normalized expression data were obtained using the ComBat package. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were used to conduct significantly functional analysis and crucial pathways. The resulting co-expression genes modules and hub genes were generated based on the weighted gene co-expression network analysis and visualization by Cytoscape. Flow cytometry was conducted to detect reactive oxygen species (ROS) levels in neutrophils. RESULTS Neutrophils underwent transcriptional changes in synovial fluid (SF) of RA patients, different from peripheral blood of healthy controls or patients with RA. Especially, glycolysis, HIF-1 signaling, NADH metabolism, and oxidative stress were affected. These hub genes were strongly linked with classical glycolysis-related genes (ENO1, GAPDH, and PKM) responsible for ROS production. The antioxidant enzyme glutathione peroxidase 3 (GPX3), a ROS scavenger, was first identified as a hub gene in RA neutrophils. Neutrophils from patients with autoinflammatory and autoimmune diseases had markedly enhanced ROS levels, most notably in RA SF. CONCLUSION This research recognized hub genes and explored the characteristics of neutrophils in RA. Our findings suggest that the novel hub gene GPX3 is involved in the neutrophil-driven oxidative stress-mediated pathogenesis of RA. It has the potency to be a target for neutrophil-directed RA therapy.
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Affiliation(s)
- Tao Chen
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zhen Zhou
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Minge Peng
- Chengdu Seventh People's Hospital, Chengdu, 610041, Sichuan, China
| | - Huifang Hu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Rui Sun
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jiayi Xu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Chenxi Zhu
- Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yanhong Li
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Qiuping Zhang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yubin Luo
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Bin Yang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Lunzhi Dai
- Department of Rheumatology and Immunology, National Clinical Research Center for Geriatrics and Department of General Practice, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yi Liu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Luis E Muñoz
- Department of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Für Immuntherapie (DZI), Friedrich Alexander University Erlangen-Nuremberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Liesu Meng
- Institute of Molecular and Translational Medicine (IMTM), and Department of Biochemistry and Molecular Biology, Xi'an Jiaotong University Health Science Center, Shaanxi, Xi'an 710061, China
| | - Martin Herrmann
- Department of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum Für Immuntherapie (DZI), Friedrich Alexander University Erlangen-Nuremberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Yi Zhao
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
- Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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Li T, Zhang T, Gao H, Wang H, Yan H, Wan Z, Liu R, Yin C. Tempol modulates lncRNA-miRNA-mRNA ceRNA networks in ovaries of DHEA induced PCOS rats. J Steroid Biochem Mol Biol 2023; 226:106175. [PMID: 36374793 DOI: 10.1016/j.jsbmb.2022.106175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/11/2022] [Accepted: 08/31/2022] [Indexed: 11/11/2022]
Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrine and metabolic disorders in reproductive age women. Our previous results demonstrated that tempol was able to ameliorate PCOS phenotype in rats. However, the exact pathophysiological effect of tempol on PCOS remains largely unknown. To extend this research, deep RNA-sequencing was performed to investigate the long noncoding RNA (lncRNA) associated ceRNA mechanisms in the ovarian tissues of control rats, dehydropiandrosterone (DHEA) induced PCOS rats and tempol treated PCOS rats. Our results identified total 164, 79, and 914 significantly dysregulated lncRNAs, miRNAs, and mRNAs in three groups, respectively. The total of 7 lncRNAs, 8 mRNAs and 5 miRNAs were involved in lncRNA-associated ceRNA networks were constructed. Among them, mRNAs including C1qtnf1, Dipk2a, IL4r and lncRNAs including MSTRG.16751.2, MSTRG.8065.2 had high RNA connectivity in the ceRNA network, which also showed significant alterations in these three groups by using qPCR validation. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that the involvement of the identified ceRNA networks in regulating the development of PCOS from distinct origins, such as metabolic pathway, immune cell differentiation. The study presents the first systematic dissection of lncRNA-associated ceRNA profiles in tempol treated PCOS rats. The identified ceRNA networks could provide insights that help facilitate PCOS diagnosis and treatment.
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Affiliation(s)
- Tianhe Li
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Tingting Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Huimin Gao
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Huanhuan Wang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huihui Yan
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Zhihui Wan
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Ruixia Liu
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Chenghong Yin
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China.
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Li X, Huo X, Zhao C, Chen Z, Xu Z, Yu J, Sun X. A novel chromatin regulator signature predicts the prognosis, clinical features and immunotherapy of colon cancer. Epigenomics 2022; 14:1325-1341. [PMID: 36545887 DOI: 10.2217/epi-2022-0266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: To elucidate the potential function and prognostic value of chromatin regulators (CRs) in colon cancer. Materials & methods: A comprehensive analysis of CR RNA expression data from public databases was conducted. Results: The authors successfully established and validated a 17 CR-based signature using public databases. Ten CRs of the signature were eventually verified at the protein level using the Human Protein Atlas database. Functional enrichment showed that CRs were significantly enriched in cancer-related pathways. This signature was remarkably relevant to immune cell infiltration, immune checkpoints, tumor immune dysfunction and exclusion (TIDE) score and drug sensitivity. Conclusion: The authors identified a novel, reliable prognostic signature for colon cancer. The study provided new insights into the function of CRs and has important clinical implications for immunotherapy for colon cancer.
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Affiliation(s)
- Xiaopeng Li
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
| | - Xiongwei Huo
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
| | - Chenye Zhao
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
| | - Zilu Chen
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
| | - Zhengshui Xu
- Department of Thoracic Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China
| | - Junhui Yu
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
| | - Xuejun Sun
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
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10
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Fang X, Tang T, Sun D, Chen S, Wang N, Xie L. Comprehensive analysis of potential ceRNA network and immune cell infiltration in intervertebral disc degeneration. J Orthop Surg Res 2022; 17:432. [PMID: 36175893 PMCID: PMC9524080 DOI: 10.1186/s13018-022-03331-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 09/21/2022] [Indexed: 11/20/2022] Open
Abstract
Background Intervertebral disc degeneration (IDD) has become a serious public health problem, the mechanism of which is complex and still unclear. We aimed to construct a ceRNA network related to IDD to explore its pathogenesis. Methods We downloaded the GSE67566, GSE63492, GSE116726 and GSE124272 datasets from GEO database, and obtained the differentially expressed RNAs. Then, we constructed a ceRNA network and the KEGG and GO enrichment analysis were performed. Finally, we performed immune cell infiltration analysis on the GSE124272 dataset and analysed the correlation between immune cell abundance and hub genes expression levels. Results The ceRNA network included three down-regulated circRNAs: hsa_circ_0074817, hsa_circ_0002702, hsa_circ_0003600, three up-regulated miRNAs: hsa-miR-4741, hsa-miR-3158-5p, hsa-miR-508-5p, and 57 down-regulated mRNAs, including six hub genes: IGF1, CHEK1, CCNB1, OIP5, BIRC5, AR. GO and KEGG analysis revealed that the network is involved in various biological functions. Immune infiltration analysis showed that IDD was closely related to immune cell infiltration, and hub genes could further affect the development of IDD by affecting immune cell infiltration. Conclusion This study identified the hsa_circ_0074817-hsa-miR-508-5p-IGF1/CHEK1/CCNB1, the hsa_circ_0003600-hsa-miR-4741-BIRC5/OIP5/AR and the hsa_circ_0002702-hsa-miR-3158-5p-IGF1/AR as important regulatory axis of IDD, which will help us gain further insight into the pathogenesis of IDD and determine potential therapeutic targets.
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Affiliation(s)
- Xiaoyang Fang
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Tian Tang
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Daoxi Sun
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Shuang Chen
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Nan Wang
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Lin Xie
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
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11
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Zheng Q, Reid G, Eccles MR, Stayner C. Non-coding RNAs as potential biomarkers and therapeutic targets in polycystic kidney disease. Front Physiol 2022; 13:1006427. [PMID: 36203940 PMCID: PMC9531119 DOI: 10.3389/fphys.2022.1006427] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/31/2022] [Indexed: 11/17/2022] Open
Abstract
Polycystic kidney disease (PKD) is a significant cause of end-stage kidney failure and there are few effective drugs for treating this inherited condition. Numerous aberrantly expressed non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs), may contribute to PKD pathogenesis by participating in multiple intracellular and intercellular functions through post-transcriptional regulation of protein-encoding genes. Insights into the mechanisms of miRNAs and other ncRNAs in the development of PKD may provide novel therapeutic strategies. In this review, we discuss the current knowledge about the roles of dysregulated miRNAs and other ncRNAs in PKD. These roles involve multiple aspects of cellular function including mitochondrial metabolism, proliferation, cell death, fibrosis and cell-to-cell communication. We also summarize the potential application of miRNAs as biomarkers or therapeutic targets in PKD, and briefly describe strategies to overcome the challenges of delivering RNA to the kidney, providing a better understanding of the fundamental advances in utilizing miRNAs and other non-coding RNAs to treat PKD.
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12
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Yu B, Tian Y, Zhang Y, Lv B, Li J, Gong S. Experimental verification and validation of immune biomarkers based on chromatin regulators in ischemic stroke. Front Genet 2022; 13:992847. [PMID: 36105086 PMCID: PMC9465164 DOI: 10.3389/fgene.2022.992847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/08/2022] [Indexed: 12/01/2022] Open
Abstract
Ischemic stroke (IS) is a disease characterized by rapid progression and high mortality and disability rates. Its pathophysiological process is inseparable from immune dysfunction. Recently, chromatin regulators (CRs) have been described as a class of enzymes that can recognize, form, and maintain the epigenetic state of an organism, and are closely associated with immune regulation. Nevertheless, the role of CR-related genes in IS has not been fully elucidated. In this study, seven CR-related immune biomarkers in the GSE58294 and GSE22255 datasets were identified by combining differential gene expression analysis, weighted correlation network analysis, and single sample gene set enrichment analysis. After experimental validation using quantitative polymerase chain reaction, four genes (DPF2, LMNB1, MLLT3, and JAK2) were screened as candidate immune biomarkers. These four biomarkers demonstrated good predictive power in the clinical risk model (area under the curve, 0.775). Molecular docking simulations revealed that mevastatin, WP1066, cladribine, trichostatin A, mequitazine, and zuclomiphene may be potential immunomodulatory drugs for IS. Overall, the results of this study contribute to the identification of CR-related immune therapeutics target in IS and provide an important reference for further research.
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Affiliation(s)
- Beibei Yu
- Department of Neurourgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
| | - Yunze Tian
- Department of Neurourgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
| | - Yongfeng Zhang
- Department of Neurourgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
| | - Boqiang Lv
- Department of Neurourgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
| | - Jianzhong Li
- Department of Thoracic Surgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
- *Correspondence: Jianzhong Li, ; Shouping Gong,
| | - Shouping Gong
- Department of Neurourgery, the Second Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, China
- *Correspondence: Jianzhong Li, ; Shouping Gong,
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13
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Li XC, Luo SJ, Fan W, Zhou TL, Tan DQ, Tan RX, Xian QZ, Li J, Huang CM, Wang MS. Macrophage polarization regulates intervertebral disc degeneration by modulating cell proliferation, inflammation mediator secretion, and extracellular matrix metabolism. Front Immunol 2022; 13:922173. [PMID: 36059551 PMCID: PMC9433570 DOI: 10.3389/fimmu.2022.922173] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 07/29/2022] [Indexed: 01/17/2023] Open
Abstract
Macrophage infiltration and polarization have been increasingly observed in intervertebral disc (IVD) degeneration (IDD). However, their biological roles in IDD are still unrevealed. We harvested conditioned media (CM) derived from a spectrum of macrophages induced from THP-1 cells, and examined how they affect nucleus pulposus cells (NPCs) in vitro, by studying cell proliferation, extracellular matrix (ECM) synthesis, and pro-inflammation expression; and in vivo by injection CM in a rat IDD model. Then, high-throughput sequencing was used to detect differentially expressed genes (DEGs). Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) networks were used to further analysis. Higher CCR7+ (M1 marker) and CD206+ (M2 marker) cell counts were found in the degenerated human IVD tissues as compared with the control. Furthermore, the cell co-culture model showed M1CM attenuated NPC proliferation, downregulated the expression of ECM anabolic genes encoding aggrecan and collagen IIα1, upregulated the expression of ECM catabolic genes encoding MMP-13, and inflammation-related genes encoding IL-1β, IL-6, and IL-12, while M2CM showed contrasting trends. In IDD model, higher histological scores and lower disc height index were found following M1CM treatment, while M2CM exhibited opposite results. M1CM injection decreased ECM anabolic and increased ECM catabolic, as well as the upregulation of inflammation-related genes after 8 weeks treatment, while M2CM slowed down these trends. Finally, a total of 637 upregulated and 655 downregulated genes were detected in M1CM treated NPCs, and 975 upregulated genes and 930 downregulated genes in the M2CM groups. The top 30 GO terms were shown and the most significant KEGG pathway was cell cycle in both groups. Based on the PPI analysis, the five most significant hub genes were PLK1, KIF20A, RRM2, CDC20, and UBE2C in the M1CM groups and RRM2, CCNB1, CDC20, PLK1, and UBE2C in the M2CM groups. In conclusion, macrophage polarization exhibited diverse roles in IDD progression, with M1CM exacerbating cell proliferation suppression and IVD degeneration, while M2CM attenuated IDD development. These findings may facilitate the further elucidation of the role of macrophage polarization in IDD, and provide novel insights into the therapeutic potential of macrophages.
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Affiliation(s)
- Xiao-Chuan Li
- Postdoctoral Innovation Practice Base of Gaozhou People’s Hospital, Gaozhou, China
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Shao-Jian Luo
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Wu Fan
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
| | - Tian-Li Zhou
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Dan-Qin Tan
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Rong-Xiong Tan
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Qun-Ze Xian
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Jian Li
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Chun-Ming Huang
- Postdoctoral Innovation Practice Base of Gaozhou People’s Hospital, Gaozhou, China
- Department of Orthopedic Surgery, Gaozhou People’s Hospital, Gaozhou, China
- Central Laboratory of Orthopedics, Gaozhou People’s Hospital, Gaozhou, China
| | - Mao-Sheng Wang
- Postdoctoral Innovation Practice Base of Gaozhou People’s Hospital, Gaozhou, China
- *Correspondence: Mao-Sheng Wang,
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14
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Jiang X, Wu J, Guo C, Song W. Key LncRNAs Associated With Oxidative Stress Were Identified by GEO Database Data and Whole Blood Analysis of Intervertebral Disc Degeneration Patients. Front Genet 2022; 13:929843. [PMID: 35937989 PMCID: PMC9353269 DOI: 10.3389/fgene.2022.929843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Intervertebral disc degeneration (IDD) is a major cause of low back pain, but the onset and progression of IDD are unknown. Long non-coding RNA (lncRNA) has been validated to play a critical role in IDD, while an increasing number of studies have linked oxidative stress (OS) to the initiation and progression of IDD. We aim to investigate key lncRNAs in IDD through a comprehensive network of competing endogenous RNA (ceRNA) and to identify possible underlying mechanisms. Methods: We downloaded IDD-related gene expression data from the Gene Expression Omnibus (GEO) database and obtained differentially expressed-lncRNAs (DE-lncRNA), -microRNAs (DE-miRNA), and -messenger RNAs (DE-mRNA) by bioinformatics analysis. The OS-related lncRNA-miRNA-mRNA ceRNA interaction axis was constructed and key lncRNAs were identified based on ceRNA theory. We performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses on mRNAs regulated by lncRNAs in the ceRNA network. Single sample gene set enrichment analysis (ssGSEA) was used to reveal the immune landscape. Expression of key lncRNAs in IDD was assessed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Results: In this study, 111 DE-mRNAs, 20 DE-lncRNAs, and 502 DE-miRNAs were identified between IDD patients and controls, and 16 OS-related DE-lncRNAs were also identified. The resulting lncRNA-miRNA-mRNA network consisted of eight OS-related DE-lncRNA nodes, 24 DE-miRNA nodes, 70 DE-mRNA nodes, and 183 edges. Functional enrichment analysis suggested that the ceRNA network may be involved in regulating biological processes related to cytokine secretion, lipid, and angiogenesis. We also identified four key lncRNAs, namely lncRNA GNAS-AS1, lncRNA MIR100HG, lncRNA LINC01359, and lncRNA LUCAT1, which were also found to be significantly associated with immune cells. Conclusion: These results provide novel insights into the potential applications of OS-related lncRNAs in patients with IDD.
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15
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Investigating the AC079305/DUSP1 Axis as Oxidative Stress-Related Signatures and Immune Infiltration Characteristics in Ischemic Stroke. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:8432352. [PMID: 35746962 PMCID: PMC9213160 DOI: 10.1155/2022/8432352] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/05/2022] [Accepted: 05/23/2022] [Indexed: 12/14/2022]
Abstract
Background Oxidative stress (OS) and immune inflammation play complex intersections in the pathophysiology of ischemic stroke (IS). However, a competing endogenous RNA- (ceRNA-) based mechanism linked to the intersections in IS has not been explored. We aimed to identify potential OS-related signatures and analyze immune infiltration characteristics in IS. Methods Three datasets (GSE22255, GSE110993, and GSE140275) from the GEO database were extracted. Differentially expressed long noncoding RNAs, microRNAs, and messenger RNAs (DElncRNAs, DEmiRNAs, and DEmRNAs) between IS patients and controls were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were explored. Moreover, a triple ceRNA network was constructed to reveal transcriptional regulation mechanisms. A comprehensive strategy among least absolute shrinkage and selection operator (LASSO) regression, DEmRNAs, uprelated DEmRNAs, and OS-related genes was adopted to select the best signature. Then, we evaluated and verified the discriminant ability of the signature via receiver operating characteristic (ROC) analysis. Immune infiltration characteristics were explored via the CIBERSORT algorithm. Moreover, the best signature was verified via qPCR and western blot methods in rat brain tissues and PC12 cells. Results 11 DEmRNAs were identified totally. Enrichment analysis showed that the DEmRNAs were primarily concentrated in MAPK-associated biological processes and immune or inflammation-involved pathways. DUSP1 was identified as the best signature with an area under the ROC curve of 73.5% (95%CI = 57.02-89.98, sensitivity = 95%, and specificity = 60%) in GSE22255 and 100.0% (95%CI = 100.00-100.00, sensitivity = 100%, and specificity = 100%) in GSE140275. Importantly, we also identified the AC079305/DUSP1 axis in the ceRNA network. Immune infiltration showed that resting mast cells infiltrate less in IS patients compared with controls. And DUSP1 was negatively correlated with resting mast cells (r = −0.703, P < 0.01), whereas it was positively correlated with neutrophils (r = 0.339, P < 0.05). Both in vivo and in vitro models confirmed the upregulated expression of DUSP1 and the downregulated expression of miR-429. Conclusion This study identified the ceRNA-based AC079305/DUSP1 axis as a promising OS-related signature for IS. Immune infiltrating cells, especially mast cells, may exert a pivotal role in IS progression. Pharmacological agents targeting signatures, their receptors, or mast cells may shed a novel light on therapeutic targets for IS.
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Fan J, Chen M, Cao S, Yao Q, Zhang X, Du S, Qu H, Cheng Y, Ma S, Zhang M, Huang Y, Zhang N, Shi K, Zhan S. Identification of a ferroptosis-related gene pair biomarker with immune infiltration landscapes in ischemic stroke: a bioinformatics-based comprehensive study. BMC Genomics 2022; 23:59. [PMID: 35033021 PMCID: PMC8761271 DOI: 10.1186/s12864-022-08295-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/29/2021] [Indexed: 12/14/2022] Open
Abstract
Background Ischemic stroke (IS) is a principal contributor to long-term disability in adults. A new cell death mediated by iron is ferroptosis, characterized by lethal aggregation of lipid peroxidation. However, a paucity of ferroptosis-related biomarkers early identify IS until now. This study investigated potential ferroptosis-related gene pair biomarkers in IS and explored their roles in immune infiltration. Results In total, we identified 6 differentially expressed ferroptosis-related genes (DEFRGs) in the metadata cohort. Of these genes, 4 DEFRGs were incorporated into the competitive endogenous RNA (ceRNA) network, including 78 lncRNA-miRNA and 16 miRNA-mRNA interactions. Based on relative expression values of DEFRGs, we constructed gene pairs. An integrated scheme consisting of machine learning algorithms, ceRNA network, and gene pair was proposed to screen the key DEFRG biomarkers. The receiver operating characteristic (ROC) curve witnessed that the diagnostic performance of DEFRG pair CDKN1A/JUN was superior to that of single gene. Moreover, the CIBERSORT algorithm exhibited immune infiltration landscapes: plasma cells, resting NK cells, and resting mast cells infiltrated less in IS samples than controls. Spearman correlation analysis confirmed a significant correlation between plasma cells and CDKN1A/JUN (CDKN1A: r = − 0.503, P < 0.001, JUN: r = − 0.330, P = 0.025). Conclusions Our findings suggested that CDKN1A/JUN could be a robust and promising gene-pair diagnostic biomarker for IS, regulating ferroptosis during IS progression via C9orf106/C9orf139-miR-22-3p-CDKN1A and GAS5-miR-139-5p/miR-429-JUN axes. Meanwhile, plasma cells might exert a vital interplay in IS immune microenvironment, providing an innovative insight for IS therapeutic target. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08295-0.
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Affiliation(s)
- Jiaxin Fan
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Mengying Chen
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Shuai Cao
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Qingling Yao
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Xiaodong Zhang
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Shuang Du
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Huiyang Qu
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Yuxuan Cheng
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Shuyin Ma
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Meijuan Zhang
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Yizhou Huang
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Nan Zhang
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Kaili Shi
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China
| | - Shuqin Zhan
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 West Five Road, Xi'an, 710004, China.
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