Zhao Shuang, Luo Zhongling, Wang Ying, Gao Xinghua, Tao Juan, Cui Yong, Chen Aijun, Cai Daxing, Ding Yan, Gu Heng, Gu Jianying, Ji Chao, Kang Xiaojing, Lu Qianjin, Lv Chengzhi, Li Min, Li Wei, Liu Wei, Li Xia, Li Yuzhen, Man Xiaoyong, Qiao Jianjun, Sun Liangdan, Shi Yuling, Wu Wenyu, Xia Jianxin, Xiao Rong, Yang Bin, Kuang Yehong, Chen Zeyu, Fang Jingyue, Kang Jian, Yang Minghui, Zhang Mi, Su Juan, Zhang Xuejun, Chen Xiang
Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410083 China.
Department of Dermatology, No. 1 Hospital of China Medical University and Key Laboratory of Immunodermatology, Ministry of Health and Ministry of Education, Shenyang, 110001 China.
Phenomics. 2024 Aug 19;4(3):269-292. doi: 10.1007/s43657-023-00142-w. eCollection 2024 Jun.
The collection of big data on skin and appendage phenotypes has revolutionized the field of personalized diagnosis and treatment by enabling the evaluation of individual characteristics and early detection of abnormalities. To establish a standardized system for collecting and measuring big data on phenotypes, a systematic categorization of measurement entries has been undertaken, accompanied by recommendations on measurement entries, environmental equipment requirements, and collection processes, tailored to the needs of different usage scenarios. Specific collection sites have also been recommended based on different index characteristics. A multi-center, multi-regional collaboration has been initiated to collect big date on phenotypes of healthy and diseased skin in the Chinese population. This data will be correlated with patient disease information, exploring the factors influencing skin phenotype, analyzing the phenotypic data features that can predict prognosis, and ultimately promoting the exploration of the pathophysiology and pathogenesis of skin diseases and therapeutic approaches. Non-invasive skin measurement robots are also in development. This consensus aims to provide a reference for the study of phenomics and the standardization of phenotypic measurements of skin and appendages in China.
皮肤及附属器表型大数据的收集，通过评估个体特征和早期发现异常，彻底改变了个性化诊断和治疗领域。为建立用于收集和测量表型大数据的标准化系统，已对测量条目进行了系统分类，并针对不同使用场景的需求，给出了关于测量条目、环境设备要求和收集流程的建议。还根据不同指标特征推荐了特定的收集部位。已启动多中心、多地区合作，以收集中国人群健康和患病皮肤表型的大数据。这些数据将与患者疾病信息相关联，探索影响皮肤表型的因素，分析可预测预后的表型数据特征，最终推动对皮肤疾病病理生理学、发病机制及治疗方法的探索。无创皮肤测量机器人也在研发中。本共识旨在为中国表型组学研究及皮肤和附属器表型测量的标准化提供参考。
