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Liu C, Wang Y, Wu Z, Tang X, Wang G, Wang J. Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive bioinformatics analysis. Sci Rep 2024; 14:15884. [PMID: 38987624 PMCID: PMC11236978 DOI: 10.1038/s41598-024-66973-3] [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: 04/07/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024] Open
Abstract
Behçet's disease (BD) is a multifaceted autoimmune disorder affecting multiple organ systems. Vascular complications, such as venous thromboembolism (VTE), are highly prevalent, affecting around 50% of individuals diagnosed with BD. This study aimed to identify potential biomarkers for VTE in BD patients. Three microarray datasets (GSE209567, GSE48000, GSE19151) were retrieved for analysis. Differentially expressed genes (DEGs) associated with VTE in BD were identified using the Limma package and weighted gene co-expression network analysis (WGCNA). Subsequently, potential diagnostic genes were explored through protein-protein interaction (PPI) network analysis and machine learning algorithms. A receiver operating characteristic (ROC) curve and a nomogram were constructed to evaluate the diagnostic performance for VTE in BD patients. Furthermore, immune cell infiltration analyses and single-sample gene set enrichment analysis (ssGSEA) were performed to investigate potential underlying mechanisms. Finally, the efficacy of listed drugs was assessed based on the identified signature genes. The limma package and WGCNA identified 117 DEGs related to VTE in BD. A PPI network analysis then selected 23 candidate hub genes. Four DEGs (E2F1, GATA3, HDAC5, and MSH2) were identified by intersecting gene sets from three machine learning algorithms. ROC analysis and nomogram construction demonstrated high diagnostic accuracy for these four genes (AUC: 0.816, 95% CI: 0.723-0.909). Immune cell infiltration analysis revealed a positive correlation between dysregulated immune cells and the four hub genes. ssGSEA provided insights into potential mechanisms underlying VTE development and progression in BD patients. Additionally, therapeutic agent screening identified potential drugs targeting the four hub genes. This study employed a systematic approach to identify four potential hub genes (E2F1, GATA3, HDAC5, and MSH2) and construct a nomogram for VTE diagnosis in BD. Immune cell infiltration analysis revealed dysregulation, suggesting potential macrophage involvement in VTE development. ssGSEA provided insights into potential mechanisms underlying BD-induced VTE, and potential therapeutic agents were identified.
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Affiliation(s)
- Chunjiang Liu
- Division of Vascular Surgery, Department of General Surgery, Shaoxing People's Hospital, Shaoxing, 312000, China
| | - Yuan Wang
- Department of Intervention Vascular, Hefei Hospital of Anhui Medical University, Hefei, 230000, China
| | - Zhifeng Wu
- Division of Vascular Surgery, Department of General Surgery, Shaoxing People's Hospital, Shaoxing, 312000, China
- Medical College, Shaoxing University, Shaoxing, 312000, China
| | - Xiaoqi Tang
- Division of Vascular Surgery, Department of General Surgery, Shaoxing People's Hospital, Shaoxing, 312000, China
| | - Guohua Wang
- Division of Vascular Surgery, Department of General Surgery, Shaoxing People's Hospital, Shaoxing, 312000, China
| | - Jiajia Wang
- Department of Rheumatology, Shaoxing People's Hospital, 568# Zhongxing North Road, Shaoxing, 312000, China.
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Mathews R, Hinds MT, Nguyen KP. Venous thromboembolism: diagnostic advances and unaddressed challenges in management. Curr Opin Hematol 2024; 31:122-129. [PMID: 38359323 PMCID: PMC10977858 DOI: 10.1097/moh.0000000000000809] [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] [Indexed: 02/17/2024]
Abstract
PURPOSE OF REVIEW This review summarizes recent advances in developing targeted diagnostics for venous thromboembolism (VTE) and unaddressed knowledge gaps in patient management. Without addressing these critical data needs, the morbidity in VTE patients will persist. RECENT FINDINGS Recent studies investigating plasma protein profiles in VTE patients have identified key diagnostic targets to address the currently unmet need for low-cost, confirmatory, point-of-care VTE diagnostics. These studies and a growing body of evidence from animal model studies have revealed the importance of inflammatory and vascular pathology in driving VTE, which are currently unaddressed targets for VTE therapy. To enhance the translation of preclinical animal studies, clinical quantification of thrombus burden and comparative component analyses between modeled VTE and clinical VTE are necessary. SUMMARY Lead candidates from protein profiling of VTE patients' plasma offer a promising outlook in developing low cost, confirmatory, point-of-care testing for VTE. Additionally, addressing the critical knowledge gap of quantitatively measuring clinical thrombi will allow for an array of benefits in VTE management and informing the translatability of experimental therapeutics.
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Affiliation(s)
- Rick Mathews
- Department of Biomedical Engineering, Oregon Health and Science University
| | - Monica T Hinds
- Department of Biomedical Engineering, Oregon Health and Science University
| | - Khanh P Nguyen
- Department of Biomedical Engineering, Oregon Health and Science University
- Research & Development Service, VA Portland Healthcare System
- Division of Vascular Surgery, Department of Surgery, Oregon Health and Science University, Portland, Oregon, USA
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Nie Y, Song C, Huang H, Mao S, Ding K, Tang H. Chromatin modifiers in human disease: from functional roles to regulatory mechanisms. MOLECULAR BIOMEDICINE 2024; 5:12. [PMID: 38584203 PMCID: PMC10999406 DOI: 10.1186/s43556-024-00175-1] [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: 11/07/2023] [Accepted: 02/21/2024] [Indexed: 04/09/2024] Open
Abstract
The field of transcriptional regulation has revealed the vital role of chromatin modifiers in human diseases from the beginning of functional exploration to the process of participating in many types of disease regulatory mechanisms. Chromatin modifiers are a class of enzymes that can catalyze the chemical conversion of pyrimidine residues or amino acid residues, including histone modifiers, DNA methyltransferases, and chromatin remodeling complexes. Chromatin modifiers assist in the formation of transcriptional regulatory circuits between transcription factors, enhancers, and promoters by regulating chromatin accessibility and the ability of transcription factors to acquire DNA. This is achieved by recruiting associated proteins and RNA polymerases. They modify the physical contact between cis-regulatory factor elements, transcription factors, and chromatin DNA to influence transcriptional regulatory processes. Then, abnormal chromatin perturbations can impair the homeostasis of organs, tissues, and cells, leading to diseases. The review offers a comprehensive elucidation on the function and regulatory mechanism of chromatin modifiers, thereby highlighting their indispensability in the development of diseases. Furthermore, this underscores the potential of chromatin modifiers as biomarkers, which may enable early disease diagnosis. With the aid of this paper, a deeper understanding of the role of chromatin modifiers in the pathogenesis of diseases can be gained, which could help in devising effective diagnostic and therapeutic interventions.
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Affiliation(s)
- Yali Nie
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China
| | - Chao Song
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Hong Huang
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Shuqing Mao
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China
| | - Kai Ding
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China
| | - Huifang Tang
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan, 421001, China.
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan, 421001, China.
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
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Furuya C, Morishita S, Hashimoto Y, Inano T, Ochiai T, Shirane S, Edahiro Y, Araki M, Ando M, Komatsu N. Impact of non-driver gene mutations on thrombo-haemorrhagic events in ET patients. Br J Haematol 2024; 204:221-228. [PMID: 37920129 DOI: 10.1111/bjh.19177] [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: 08/21/2023] [Revised: 10/06/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023]
Abstract
Risk-adapted therapy is recommended to prevent major clinical complications, such as thrombo-haemorrhagic events, in patients with essential thrombocythaemia (ET). In this study, we analysed the association between non-driver gene mutations and thrombo-haemorrhagic events in 579 patients with ET. ASXL1 and TP53 mutations were frequently identified in patients with ET complicated by thrombosis (22.7% and 23.1%, respectively), and the DNMT3A mutation was frequently identified in patients who experienced haemorrhage (15.2%). Multivariate analyses of thrombosis-free survival (TFS) revealed that ASXL1 and TP53 mutations are associated with thrombosis (hazard ratio [HR] = 3.140 and 3.752 respectively). Patients harbouring the ASXL1 or TP53 mutation had significantly worse TFS rates than those without mutation (p = 0.002 and p < 0.001 respectively). Furthermore, JAK2V617F-mutated patients with accompanying ASXL1 mutations showed significantly shorter TFS compared with those without ASXL1 mutations (p = 0.003). Multivariate analyses of haemorrhage-free survival (HFS) revealed that the DNMT3A mutation (HR = 2.784) is associated with haemorrhage. DNMT3A-mutated patients showed significantly shorter HFS than those without the mutation (p = 0.026). Non-driver gene mutations should be considered in treatment strategies and may provide important information for personalised treatment approaches.
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Affiliation(s)
- Chiho Furuya
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Soji Morishita
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoshinori Hashimoto
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hematology, Tottori Prefectural Central Hospital, Tottori, Japan
| | - Tadaaki Inano
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomonori Ochiai
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shuichi Shirane
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoko Edahiro
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Marito Araki
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Miki Ando
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Norio Komatsu
- Department of Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Advanced Hematology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Laboratory for the Development of Therapies Against MPN, Juntendo University Graduate School of Medicine, Tokyo, Japan
- PharmaEssentia Japan KK, Tokyo, Japan
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