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医学生态树：人类疾病本质是一个多维时空生态过程

2022-11-29 12:24 阅读(210) 评论(0) 分类：专业

国家感染性疾病临床医学研究中心/深圳市第三人民医院(南方科技大学第二附属医院)；广东省高水平建设医院

罗伟仁博士在Preprints 更新发布了V3版本“鼻咽癌生态学理论：肿瘤为多维时空生态进化合一的病理生态系统” (Nasopharyngeal Carcinoma Ecology Theory: Cancer as Multidimensional Spatiotemporal “Unity of Ecology and Evolution” Pathological Ecosystem，V1版本于10月17日发布）。

Besides various neoplasms, we can also extend this topic to other human non-neoplastic diseases, for example, cardiovascular diseases such as atherosclerosis (AS) and rheumatism, respiratory diseases such as chronic bronchitis-chronic obstructive pulmonary disease (COPD)-corpulmonale, digestive diseases include viral hepatitis-cirrhosis-liver cancer, urinary diseases include chronic glomerulonephritis and tubulointerstitial nephritis, gynecological diseases such as chronic cervicitiscervical intraepithelial neoplasia (CIN)-cervical cancer, brain and endocrine diseases (e.g. diabetes and alzheimer's disease), and infectious diseases such as COVID-19 and tuberculosis, the initiation and progression of these systemic diseases (e.g. the status from the normal to diseased, acute to chronic, early to late, local to diffuse), which could be a multidimensional spatiotemporal ecological process（人类疾病发生发展和转归的本质是一个多维时空生态过程）. However, new important questions also need to be answered. For example, how about the eco-evolutionary principles can be used for the pathogenesis and progression ( e.g. drug resistance) on pulmonary tuberculosis (Tuberculosis ecology)? In fact, an ecol-evolutionary view on human-microbe diseases has indeed been advocated (270). Nevertheless, emerging evidence has supported a significant correlation between microorganisms and the incidence of human metabolic disorders such as AS, type 2 diabetes mellitus and non-alcoholic fatty liver disease, as well as respiratory diseases such as COPD. Another example, COVID-19, the pathology and immune response to this pandemic many studies have been investigated (271-273). The ecological interplay between infected cells and the immune system at different infected sites has further been elucidated by spatially resolved single-cell analyses (274). An novel and integrated model about medical ecology tree （医学生态树）of human diseases is constructed (Figure 5). In such complex eco-pathological systems （生态病理系统）, parenchymal cells interplay with their specific environments such as microorganisms, immune cells, other interstitial cells and abiotic factors (with the transformation and flux of energy, message and matter), adapt to each other and even coevolve in a multidimensional spatiotemporal manne, therefore contribute significantly to the initiation, progression and outcome of human diseases including microbiome-associated diseases (270, 275,276).