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Chaubal R, Gardi N, Joshi S, Pantvaidya G, Kadam R, Vanmali V, Hawaldar R, Talker E, Chitra J, Gera P, Bhatia D, Kalkar P, Gurav M, Shetty O, Desai S, Krishnan NM, Nair N, Parmar V, Dutt A, Panda B, Gupta S, Badwe R. Surgical Tumor Resection Deregulates Hallmarks of Cancer in Resected Tissue and the Surrounding Microenvironment. Mol Cancer Res 2024; 22:572-584. [PMID: 38394149 PMCID: PMC11148542 DOI: 10.1158/1541-7786.mcr-23-0265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/24/2023] [Accepted: 02/20/2024] [Indexed: 02/25/2024]
Abstract
Surgery exposes tumor tissue to severe hypoxia and mechanical stress leading to rapid gene expression changes in the tumor and its microenvironment, which remain poorly characterized. We biopsied tumor and adjacent normal tissues from patients with breast (n = 81) and head/neck squamous cancers (HNSC; n = 10) at the beginning (A), during (B), and end of surgery (C). Tumor/normal RNA from 46/81 patients with breast cancer was subjected to mRNA-Seq using Illumina short-read technology, and from nine patients with HNSC to whole-transcriptome microarray with Illumina BeadArray. Pathways and genes involved in 7 of 10 known cancer hallmarks, namely, tumor-promoting inflammation (TNF-A, NFK-B, IL18 pathways), activation of invasion and migration (various extracellular matrix-related pathways, cell migration), sustained proliferative signaling (K-Ras Signaling), evasion of growth suppressors (P53 signaling, regulation of cell death), deregulating cellular energetics (response to lipid, secreted factors, and adipogenesis), inducing angiogenesis (hypoxia signaling, myogenesis), and avoiding immune destruction (CTLA4 and PDL1) were significantly deregulated during surgical resection (time points A vs. B vs. C). These findings were validated using NanoString assays in independent pre/intra/post-operative breast cancer samples from 48 patients. In a comparison of gene expression data from biopsy (analogous to time point A) with surgical resection samples (analogous to time point C) from The Cancer Genome Atlas study, the top deregulated genes were the same as identified in our analysis, in five of the seven studied cancer types. This study suggests that surgical extirpation deregulates the hallmarks of cancer in primary tumors and adjacent normal tissue across different cancers. IMPLICATIONS Surgery deregulates hallmarks of cancer in human tissue.
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Affiliation(s)
- Rohan Chaubal
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
| | - Nilesh Gardi
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Shalaka Joshi
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
| | - Gouri Pantvaidya
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
| | - Rasika Kadam
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Vaibhav Vanmali
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Clinical Research Secretariat, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Rohini Hawaldar
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Clinical Research Secretariat, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Elizabeth Talker
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Jaya Chitra
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Poonam Gera
- Biorepository, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Dimple Bhatia
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Prajakta Kalkar
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Mamta Gurav
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Omshree Shetty
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Sangeeta Desai
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | | | - Nita Nair
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
| | - Vani Parmar
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- 3D Printing Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Amit Dutt
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Integrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
| | - Binay Panda
- School of Biotechnology, Jawaharlal Nehru University, New Delhi, India
| | - Sudeep Gupta
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
| | - Rajendra Badwe
- Department of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Mumbai, India
- Hypoxia and Clinical Genomics Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Maharashtra, India
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Li ZC, An F. ERBB2-PTGS2 axis promotes intervertebral disc degeneration by regulating senescence of nucleus pulposus cells. BMC Musculoskelet Disord 2023; 24:504. [PMID: 37340393 DOI: 10.1186/s12891-023-06625-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/10/2023] [Indexed: 06/22/2023] Open
Abstract
Intervertebral disc degeneration (IDD) is considered one of the main causes of low back pain and lumbar disc herniation. Various studies have shown that disc cell senescence plays a critical role in this process. however, its role in IDD is yet unclear. In this study, we explored the role of senescence-related genes (SR-DEGs) and its underlying mechanism in IDD. A total of 1325 differentially expressed genes (DEGs) were identified using Gene Expression Omnibus (GEO) database GSE41883. 30 SR-DEGs were identified for further functional enrichment and pathway analysis, and two hub SR-DEGs (ERBB2 and PTGS2) were selected to construct transcription factor (TF)-gene interaction and TF-miRNA coregulatory networks, and 10 candidate drugs were screened for the treatment of IDD. Last but not least, in vitro experiments show that ERBB2 expression decreased and PTGS2 expression increased in human nucleus pulposus (NP) cell senescence model treated with TNF-α. After lentivirus-mediated overexpression of ERBB2, the expression of PTGS2 decreased and the senescence level of NP cells decreased. Overexpression of PTGS2 reversed the anti-senescence effects of ERBB2. The findings in this study suggested that ERBB2 overexpression further reduced NP cell senescence by inhibiting PTGS2 levels, which ultimately alleviated IDD. Taken together, our findings provide new insights into the roles of senescence-related genes in IDD and highlight a novel target of ERBB2-PTGS2 axis for therapeutic strategies.
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Affiliation(s)
- Zhao-Cheng Li
- Department of Spine Surgery, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, PR China
| | - Fu An
- Department of Spine Surgery, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
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Wang Y, Zhang Y, Li J, Li C, Zhao R, Shen C, Liu W, Rong J, Wang Z, Ge J, Shi B. Hypoxia Induces M2 Macrophages to Express VSIG4 and Mediate Cardiac Fibrosis After Myocardial Infarction. Theranostics 2023; 13:2192-2209. [PMID: 37153746 PMCID: PMC10157727 DOI: 10.7150/thno.78736] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/22/2023] [Indexed: 05/10/2023] Open
Abstract
M2 macrophage-mediated tissue repair plays an important role in acute myocardial infarction (AMI). Additionally, VSIG4, which is mainly expressed on tissue-resident and M2 macrophages, is crucial for the regulation of immune homeostasis; however, its effects on AMI remain unknown. In this study, we aimed to investigate the functional significance of VSIG4 in AMI using VSIG4 knockout and adoptive bone marrow transfer chimeric models. We also determined the function of cardiac fibroblasts (CFs) through gain- or loss-of-function experiments. We showed that VSIG4 promotes scar formation and orchestrates the myocardial inflammatory response after AMI, while also promoting TGF-β1 and IL-10. Moreover, we revealed that hypoxia promotes VSIG4 expression in cultured bone marrow M2 macrophages, ultimately leading to the conversion of CFs to myofibroblasts. Our results reveal a crucial role for VSIG4 in the process of AMI in mice and provide a potential immunomodulatory therapeutic avenue for fibrosis repair after AMI.
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Affiliation(s)
- Yan Wang
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
- Soochow University, Suzhou, China
| | - Yu Zhang
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Jiao Li
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Chaofu Li
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Ranzun Zhao
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Changyin Shen
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Weiwei Liu
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Jidong Rong
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Zhenglong Wang
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
- ✉ Corresponding author: Bei Shi, Junbo Ge, and Zhenglong Wang. No. 149, Dalian Road, Huichuan District, Zunyi City, Guizhou, China. Email address:
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
- ✉ Corresponding author: Bei Shi, Junbo Ge, and Zhenglong Wang. No. 149, Dalian Road, Huichuan District, Zunyi City, Guizhou, China. Email address:
| | - Bei Shi
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
- Soochow University, Suzhou, China
- ✉ Corresponding author: Bei Shi, Junbo Ge, and Zhenglong Wang. No. 149, Dalian Road, Huichuan District, Zunyi City, Guizhou, China. Email address:
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Sun S, Xue J, Guo Y, Li J. Bioinformatics analysis of genes related to ferroptosis in hepatic ischemia-reperfusion injury. Front Genet 2022; 13:1072544. [PMID: 36531223 PMCID: PMC9755192 DOI: 10.3389/fgene.2022.1072544] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/15/2022] [Indexed: 07/30/2023] Open
Abstract
Background: Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020, and it ranks fifth in global incidence. Liver resection or liver transplantation are the two most prominent surgical procedures for treating primary liver cancer. Both inevitably result in HIRI, causing severe complications for patients and affecting their prognosis and quality of survival. Ferroptosis, a newly discovered mode of cell death, is closely related to HIRI. We used bioinformatics analysis to explore the relationship between the two further. Methods: The GEO database dataset GSE112713 and the FerrDB database data were selected to use bioinformatic analysis methods (difference analysis, FRGs identification, GO analysis, KEGG analysis, PPI network construction and analysis, Hub gene screening with GO analysis and KEGG analysis, intergenic interaction prediction, drug-gene interaction prediction, miRNA prediction) for both for correlation analysis. The GEO database dataset GSE15480 was selected for preliminary validation of the screened Hub genes. Results: We analysed the dataset GSE112713 for differential gene expression before and after hepatic ischemia-reperfusion and identified by FRGs, yielding 11 genes. These 11 genes were subjected to GO, and KEGG analyses, and PPI networks were constructed and analysed. We also screened these 11 genes again to obtain 5 Hub genes and performed GO analysis, KEGG analysis, intergenic interaction prediction, drug-gene interaction prediction, and miRNA prediction on these 5 Hub genes. Finally, we obtained preliminary validation of all these 5 Hub genes by dataset GSE15480. Conclusion: There is a close relationship between HIRI and ferroptosis, and inhibition of ferroptosis can potentially be a new approach to mitigate HIRI treatment in the future.
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Sonawane AR, Aikawa E, Aikawa M. Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases. Front Cardiovasc Med 2022; 9:873582. [PMID: 35665246 PMCID: PMC9160390 DOI: 10.3389/fcvm.2022.873582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/19/2022] [Indexed: 01/18/2023] Open
Abstract
Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in millions of people worldwide. Like other fields, CVD research has benefitted from the deluge of multiomics biomedical data. Current CVD research focuses on disease etiologies and mechanisms, identifying disease biomarkers, developing appropriate therapies and drugs, and stratifying patients into correct disease endotypes. Systems biology offers an alternative to traditional reductionist approaches and provides impetus for a comprehensive outlook toward diseases. As a focus area, network medicine specifically aids the translational aspect of in silico research. This review discusses the approach of network medicine and its application to CVD research.
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Affiliation(s)
- Abhijeet Rajendra Sonawane
- Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Excellence in Vascular Biology, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Elena Aikawa
- Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Excellence in Vascular Biology, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Masanori Aikawa
- Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Excellence in Vascular Biology, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
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Khokhar M, Tomo S, Purohit P. MicroRNAs based regulation of cytokine regulating immune expressed genes and their transcription factors in COVID-19. Meta Gene 2021; 31:100990. [PMID: 34722158 PMCID: PMC8547816 DOI: 10.1016/j.mgene.2021.100990] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 10/21/2021] [Accepted: 10/22/2021] [Indexed: 01/08/2023] Open
Abstract
Background Coronavirus disease 2019 is characterized by the elevation of a broad spectrum of inflammatory mediators associated with poor disease outcomes. We aimed at an in-silico analysis of regulatory microRNA and their transcription factors (TF) for these inflammatory genes that may help to devise potential therapeutic strategies in the future. Methods The cytokine regulating immune-expressed genes (CRIEG) were sorted from literature and the GEO microarray dataset. Their co-differentially expressed miRNA and transcription factors were predicted from publicly available databases. Enrichment analysis was done through mienturnet, MiEAA, Gene Ontology, and pathways predicted by KEGG and Reactome pathways. Finally, the functional and regulatory features were analyzed and visualized through Cytoscape. Results Sixteen CRIEG were observed to have a significant protein-protein interaction network. The ontological analysis revealed significantly enriched pathways for biological processes, molecular functions, and cellular components. The search performed in the miRNA database yielded ten miRNAs that are significantly involved in regulating these genes and their transcription factors. Conclusion An in-silico representation of a network involving miRNAs, CRIEGs, and TF, which take part in the inflammatory response in COVID-19, has been elucidated. Thus, these regulatory factors may have potentially critical roles in the inflammatory response in COVID-19 and may be explored further to develop targeted therapeutic strategies and mechanistic validation.
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Key Words
- AHR, Aryl hydrocarbon receptor
- ARDS, acute respiratory distress syndrome
- BAL, Bronchoalveolar Lavage
- CC, Cellular components
- CCL, Chemokine (C-C motif) ligands
- CCL2, C-C motif chemokine 2
- CCL3, C-C motif chemokine 3
- CCL4, C-C motif chemokine 4
- CCR, CC chemokine receptor
- CEBPA, CCAAT/enhancer-binding protein alpha
- COVID-19
- COVID-19, Coronavirus Disease 2019
- CREM, cAMP responsive element modulator
- CRIEGs, Cytokine regulating immune expressed genes
- CSF2, Granulocyte-macrophage colony-stimulating factor
- CSF3, Granulocyte colony-stimulating factor
- CXCL10, C-X-C motif chemokine 10
- CXCL2, Chemokine (C-X-C motif) ligand 2
- CXCL8, Interleukin-8
- CXCR, C-X-C chemokine receptor
- Cytokine storm
- Cytokines
- DDIT3, DNA damage-inducible transcript 3 protein
- DEGs, Differentially expressed genes
- E2F1, Transcription factor E2F1
- EGR1, Early growth response protein 1
- EP300, Histone acetyltransferase p300
- ESR1, Estrogen receptor, Nuclear hormone receptor
- ETS2, Protein C-ets-2
- FOXP3, Forkhead box protein P3
- GO, Gene Ontology
- GSEs, Gene Series Expressions
- HDAC1, Histone deacetylase 1
- HDAC2, Histone deacetylase 2
- HSF1, Heat shock factor protein 1
- IL-6, interleukin-6
- IL10, Interleukin-10
- IL17A, Interleukin-17A
- IL1B, Interleukin-1
- IL2, Interleukin-2
- IL6, Interleukin-6
- IL7, Interleukin-7
- IL9, Interleukin-9
- IP-10, Interferon-Inducible Protein 10
- IRF1, Interferon regulatory factor 1
- Immuno-interactomics
- JAK-STAT, Janus kinase (JAK)-signal transducer and activator
- JAK2, Tyrosine-protein kinase JAK2
- JUN, Transcription factor AP-1
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- KLF4, Krueppel-like factor 4
- MicroRNA, SARS-CoV-2
- NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells
- NFAT5, Nuclear factor of activated T-cells 5
- NFKB1, Nuclear factor NF-kappa-B p105 subunit
- NFKBIA, NF-kappa-B inhibitor alpha
- NR1I2, Nuclear receptor subfamily 1 group I member 2
- PDM, peripheral blood mononuclear cell
- REL, Proto-oncogene c-Rel
- RELA, Transcription factor p65
- RUNX1, Runt-related transcription factor 1
- SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2
- SIRT1, NAD-dependent protein deacetylase sirtuin-1
- SP1, Transcription factor Sp1
- SPI1, Transcription factor PU.1
- STAT1, Signal transducer and activator of transcription 1-alpha/beta
- STAT3, Signal transducer and activator of transcription 3
- TLR3, Toll-like receptor 3 (TLR3)
- TNF, Tumor necrosis factor
- TNF-α, Tumor Necrosis Factor-Alpha
- VDR, Vitamin D3 receptor
- XBP1, X-box-binding protein 1
- ZFP36, mRNA decay activator protein ZFP36
- ZNF300, Zinc finger protein 300, heme oxygenase-1 (HO-1)
- miEAA, miRNA Enrichment Analysis and Annotation t
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Affiliation(s)
- Manoj Khokhar
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur 342005, India
| | - Sojit Tomo
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur 342005, India
| | - Purvi Purohit
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur 342005, India
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Ma Z, Wang X, Lv Q, Gong Y, Xia M, Zhuang L, Lu X, Yang Y, Zhang W, Fu G, Ye Y, Lai D. Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:823-837. [PMID: 34285551 PMCID: PMC8285300 DOI: 10.2147/pgpm.s314880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 06/03/2021] [Indexed: 11/23/2022]
Abstract
Background Considered as one of the major reasons of sudden cardiac death, hypertrophic cardiomyopathy (HCM) is a common inherited cardiovascular disease. However, effective treatment for HCM is still lacking. Identification of hub gene may be a powerful tool for discovering potential therapeutic targets and candidate biomarkers. Methods We analysed three gene expression datasets for HCM from the Gene Expression Omnibus. Two of them were merged by “sva” package. The merged dataset was used for analysis while the other dataset was used for validation. Following this, a weighted gene coexpression network analysis (WGCNA) was performed, and the key module most related to HCM was identified. Based on the intramodular connectivity, we identified the potential hub genes. Then, a receiver operating characteristic curve analysis was performed to verify the diagnostic values of hub genes. Finally, we validated changes of hub genes, for genetic transcription and protein expression levels, in datasets of HCM patients and myocardium of transverse aortic constriction (TAC) mice. Results In the merged dataset, a total of 455 differentially expressed genes (DEGs) were identified from normal and hypertrophic myocardium. In WGCNA, the blue module was identified as the key module and the genes in this module showed a high positive correlation with HCM. Functional enrichment analysis of DEGs and key module revealed that the extracellular matrix, fibrosis, and neurohormone pathways played important roles in HCM. FRZB, COL14A1, CRISPLD1, LUM, and sFRP4 were identified as hub genes in the key module. These genes showed a good predictive value for HCM and were significantly up-regulated in HCM patients and TAC mice. We also found protein expression of LUM and sFRP4 increased in myocardium of TAC mice. Conclusion This study revealed that five hub genes are involved in the occurrence and development of HCM, and they are potentially to be used as therapeutic targets and biomarkers for HCM.
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Affiliation(s)
- Zetao Ma
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China.,Department of Cardiology, Zhongshan People's Hospital, Zhongshan, Guangdong Province, 528403, People's Republic of China
| | - Xizhi Wang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Qingbo Lv
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Yingchao Gong
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Minghong Xia
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Lenan Zhuang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Xue Lu
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Ying Yang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Wenbin Zhang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Guosheng Fu
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Yang Ye
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
| | - Dongwu Lai
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, People's Republic of China
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Zhang C, Wang H, Li J, Ma L. Circular RNA Involvement in the Protective Effect of Human Umbilical Cord Mesenchymal Stromal Cell-Derived Extracellular Vesicles Against Hypoxia/Reoxygenation Injury in Cardiac Cells. Front Cardiovasc Med 2021; 8:626878. [PMID: 33708804 PMCID: PMC7940380 DOI: 10.3389/fcvm.2021.626878] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 01/14/2021] [Indexed: 02/05/2023] Open
Abstract
Human umbilical cord mesenchymal stromal cell-derived extracellular vesicles (HuMSC-EVs) can repair damaged tissues. The expression profile of circular RNAs (circRNAs) provides valuable insights into the regulation of the repair process and the exploration of the repair mechanism. AC16 cardiomyocytes were exposed to hypoxia/reoxygenation (H/R) injury and subsequently cultured with or without HuMSC-EVs (Group T and Group C, respectively). High-throughput RNA sequencing was implemented for the two groups. On the basis of the transcriptome data, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and network analyses were carried out to determine the differential gene expression profiles between the two groups. After screening the circRNA database, the results were proved by quantitative real-time polymerase chain reaction. The survival rate of cardiomyocytes exposed to H/R was increased by treatment with HuMSC-EVs. RNA-seq analysis showed that 66 circRNAs were differentially expressed in cardiomyocytes in the co-cultured group. The cellular responses to hypoxia and to decreased oxygen levels were at the top of the GO upregulated list for the two groups, while the vascular endothelial growth factor signaling pathway, long-term potentiation, and the glucagon signaling pathway were at the top of the KEGG pathway upregulated list for the two groups. In the same samples, the 10 most aberrantly upregulated circRNAs were chosen for further verification of their RNA sequences. Seven of the 10 most aberrant circRNAs were significantly upregulated in the co-cultured group and in the HuMSC-EVs. Our results revealed that upregulated circRNAs were abundant during the repair of damaged cardiomyocytes by HuMSC-EVs, which provides a new perspective for the repair of H/R by HuMSC-EVs.
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Affiliation(s)
- Changyi Zhang
- Departments of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Hongwu Wang
- Departments of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jilin Li
- Departments of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- *Correspondence: Jilin Li
| | - Lian Ma
- Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, China
- Lian Ma
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Ma Z, Shen Z, Gong Y, Zhou J, Chen X, Lv Q, Wang M, Chen J, Yu M, Fu G, He H, Lai D. Weighted gene co-expression network analysis identified underlying hub genes and mechanisms in the occurrence and development of viral myocarditis. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1348. [PMID: 33313093 PMCID: PMC7723587 DOI: 10.21037/atm-20-3337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Myocarditis is an inflammatory myocardial disease, which may lead to heart failure and sudden death. Despite extensive research into the pathogenesis of myocarditis, effective treatments for this condition remain elusive. This study aimed to explore the potential pathogenesis and hub genes for viral myocarditis. Methods A weighted gene co-expression network analysis (WGCNA) was performed based on the gene expression profiles derived from mouse models at different stages of viral myocarditis (GSE35182). Functional annotation was executed within the key modules. Potential hub genes were predicted based on the intramodular connectivity (IC). Finally, potential microRNAs that regulate gene expression were predicted by miRNet analysis. Results Three gene co-expression modules showed the strongest correlation with the acute or chronic disease stage. A significant positive correlation was detected between the acute disease stage and the turquoise module, the genes of which were mainly enriched in antiviral response and immune-inflammatory activation. Furthermore, a significant positive correlation and a negative correlation were identified between the chronic disease stage and the brown and yellow modules, respectively. These modules were mainly associated with the cytoskeleton, phosphorylation, cellular catabolic process, and autophagy. Subsequently, we predicted the underlying hub genes and microRNAs in the three modules. Conclusions This study revealed the main biological processes in different stages of viral myocarditis and predicted hub genes in both the acute and chronic disease stages. Our results may be helpful for developing new therapeutic targets for viral myocarditis in future research.
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Affiliation(s)
- Zetao Ma
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhida Shen
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yingchao Gong
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaqi Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoou Chen
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingbo Lv
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Meihui Wang
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiawen Chen
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mei Yu
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guosheng Fu
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hong He
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dongwu Lai
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
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