博碩士論文 102293001 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:94 、訪客IP:3.133.108.241
姓名 林志鴻(Chih-Hung Lin)  查詢紙本館藏   畢業系所 系統生物與生物資訊研究所
論文名稱
(Analysis of Gene Expression of Chronic Obstructive Pulmonary Disease and Chronic Kidney Disease to Illuminate Chronic Inflammation Associated with Tumor Microenvironment and Potential Treatment)
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2028-2-3以後開放)
摘要(中) 慢性阻塞性肺病 (COPD) 和慢性腎病 (CKD) 是台灣的兩種重大疾病。 血清生物標誌物表明:這兩種疾病都與全身炎症和癌症的發展有關。 COPD 增加了肺癌發展的可能性,而 CKD 增加了腎臟癌症的風險。 本研究是利用開放數據基因表達資料庫(基因表達綜合數據集)分析 COPD 和 CKD的共同表現以及歧異表現基因,並以其結果評估細胞實驗和動物模型的可行性。 這些常見的致病途徑也可能與惡性細胞生長開始的環境有關,它們同樣可以作為生物標誌物。 這些生物標誌物也可以將這兩種慢性疾病(COPD 和 CKD)與類風濕性關節炎和多種硬化症等其他嚴重風濕免疫疾病區分開來。 將來的發展目標是:(1)利用開放數據在 COPD 和 CKD 患者,包括患者亞族群中作臨床結果調查。 將利用基因組信息探索 COPD 和 CKD 共病因素。 (2) 根據研究成果進行群體中早期階段疾病的診斷。 群體的不同基因表達調控方向通常用於識別疾病。 (3) 進一步的研究不僅可以開發用於鑑別診斷的基因表達組合,還可以開發在與癌症微環境相關的動物模型中發展潛在治療方法。
摘要(英) Chronic obstructive pulmonary disease (COPD) and chronic kidney disease (CKD) are two significant individual ailments in Taiwan. Serum biomarkers show that both illnesses are associated with the development of systemic inflammation and cancer. COPD raises the possibility of lung cancer development, while CKD brings up the risk of kidney malignant growth. This study is to identify COPD and CKD co-morbidity factors utilizing open data gene expression analysis (gene expression omnibus datasets), as well as to assess feasibility in cell and animal models. These common pathogenic pathways could also be connected to the milieu where malignant growth begins, and they could likewise be utilized as biomarkers to separate these two constant ailments (COPD and CKD) from other fiery problems like rheumatoid joint inflammation and diverse sclerosis. Developing next are the review′s goals: (1) To utilize open data in COPD and CKD patients′ organic phenomenon data, including patient subgroup determination and clinical result investigation. COPD and CKD co-morbidity factors are going to be explored utilizing genomic information. (2) Follow the open research results to assess the meaning of the start phases. Different gene expression regulatory directions of groups are often utilized to acknowledge illnesses. (3) Further research may develop not only gene expression panels for differential diagnosis but also potential treatment testified in animal models associated with cancer microenvironment.
關鍵字(中) ★ 慢性阻塞性肺部疾病
★ 慢性腎臟病
★ 高通量基因表現資料庫
★ 癌症微環境
關鍵字(英) ★ chronic obstructive pulmonary disease
★ chronic kidney disease
★ gene expression omnibus
★ cancer microenvironment
論文目次 Abstract.......................................1
Introduction.................................2
Material and Method....................4
Result..........................................5
Discussion..................................9
Reference..................................13
參考文獻 1. Soriano, J. B. et al. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet Respiratory Medicine 8, (2020).
2. Barnes, P. J. Inflammatory mechanisms in patients with chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology vol. 138 (2016).
3. Xu, Y., Wu, H. & Gan, G. Pulmonary rehabilitation for patients with chronic obstructive pulmonary disease. Acta Medica Mediterranea 37, (2021).
4. WHO Chronic obstructive pulmonary disease (COPD) report. World Health Organization (2021).
5. Xu, J., Murphy, S. L., Kochanek, K. D. & Arias, E. Mortality in the United States, 2015 Key findings. http://www.cdc.gov/nchs/data/databriefs/ (2015).
6. Hsiao, A. J., Chen, L. H. & Lu, T. H. Ten leading causes of death in Taiwan: A comparison of two grouping lists. Journal of the Formosan Medical Association vol. 114 (2015).
7. Wu, H. C. et al. Incidence of percutaneous injury in Taiwan healthcare workers. Epidemiology and Infection 143, (2015).
8. Agustí, A. et al. Persistent systemic inflammation is associated with poor clinical outcomes in copd: A novel phenotype. PLoS ONE 7, (2012).
9. Sakamoto, T. & Hizawa, N. [Genetics of chronic obstructive pulmonary disease]. Nihon rinsho. Japanese journal of clinical medicine 69, (2011).
10. Wu, L. et al. Transforming growth factor-β1 genotype and susceptibility to chronic obstructive pulmonary disease. Thorax 59, 126–129 (2004).
11. Ding, Z. et al. Association between glutathione S-transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta-analysis. Clinical Genetics vol. 95 (2019).
12. Hunninghake, G. M. et al. MMP12, Lung Function, and COPD in High-Risk Populations . New England Journal of Medicine 361, (2009).
13. Hopkins, R. J. et al. Reduced expiratory flow rate among heavy smokers increases lung cancer risk: Results from the national lung screening trial-American college of radiology imaging network cohort. Annals of the American Thoracic Society 14, (2017).
14. Chen, W., Thomas, J., Sadatsafavi, M. & FitzGerald, J. M. Risk of cardiovascular comorbidity in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis. The Lancet Respiratory Medicine 3, (2015).
15. Cebron Lipovec, N. et al. The Prevalence of Metabolic Syndrome In Chronic Obstructive Pulmonary Disease: A Systematic Review. COPD: Journal of Chronic Obstructive Pulmonary Disease vol. 13 (2016).
16. Meteran, H., Backer, V., Kyvik, K. O., Skytthe, A. & Thomsen, S. F. Comorbidity between chronic obstructive pulmonary disease and type 2 diabetes: A nation-wide cohort twin study. Respiratory Medicine 109, (2015).
17. Jaramillo, J. D. et al. Reduced bone density and vertebral fractures in smokers. Men and COPD patients at increased risk. Annals of the American Thoracic Society 12, (2015).
18. Chen, C. Y. & Liao, K. M. Chronic obstructive pulmonary disease is associated with risk of chronic kidney disease: A nationwide case-cohort study. Scientific Reports 6, (2016).
19. Kunik, M. E. et al. Surprisingly high prevalence of anxiety and depression in chronic breathing disorders. Chest 127, (2005).
20. Barnes, P. J. Development of new drugs for COPD. Current medicinal chemistry 20, (2013).
21. Ammirati, A. L. Chronic kidney disease. Revista da Associacao Medica Brasileira vol. 66 (2020).
22. Cheung, A. K. et al. KDIGO 2021 Clinical Practice Guideline for the Management of Blood Pressure in Chronic Kidney Disease. Kidney International 99, (2021).
23. Fazekas, B. & Griffin, M. D. Mesenchymal stromal cell–based therapies for acute kidney injury: progress in the last decade. Kidney International vol. 97 (2020).
24. Zeng, M. et al. Predictive value of ADAMTS-13 on concealed chronic renal failure in COPD patients. International Journal of COPD 12, (2017).
25. Yoshizawa, T. et al. Prevalence of chronic kidney diseases in patients with chronic obstructive pulmonary disease: Assessment based on glomerular filtration rate estimated from creatinine and cystatin C levels. International Journal of COPD 10, (2015).
26. Krane, V. & Wanner, C. Statins, inflammation and kidney disease. Nature Reviews Nephrology vol. 7 (2011).
27. Vernaglione, L., Cristofano, C., Muscogiuri, P. & Chimienti, S. Does atorvastatin influence serum C-reactive protein levels in patients on long-term hemodialysis? American Journal of Kidney Diseases 43, 471–478 (2004).
28. Chou, Y. C. et al. Statin use and the risk of renal cell carcinoma: National cohort study. Journal of Investigative Medicine 68, (2020).
29. Zhang, W. et al. Effect of Statins on COPD: A Meta-Analysis of Randomized Controlled Trials. Chest 152, (2017).
指導教授 徐沺 吳立青(Tien Hsu Li-Ching Wu) 審核日期 2023-2-3
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明