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1. 发明申请

WO2021083572A1 DETERMINING THE SENSITIVITY OF SKIN TO UV RADIATION 审中-公开
公开(公告)号：WO2021083572A1
公开(公告)日：2021-05-06
申请号：PCT/EP2020/075047
申请日：2020-09-08
申请人： BEIERSDORF AKTIENGESELLSCHAFT
发明人： HOLZSCHECK, Nicholas , RÖCK, Katharina , WINNEFELD, Marc , SCHLÄGER, Torsten
IPC分类号： C12Q1/6883
摘要： The present invention concerns methods for predicting MED of a subject's skin, comprising either determining the methylation levels of at least 2 CpG sites selected from certain genes in a skin sample obtained from the subject, and predicting the subject's MED based on the determined methylation levels using a machine learning model trained on data comprising known MEDs and corresponding known methylation levels of the at least 2 CpG sites, and/or determining the RNA expression levels of at least 2 genes selected from certain genes in a skin sample obtained from the subject, and predicting the subject's MED based on the determined RNA expression levels using a machine learning model trained on data comprising known MEDs and corresponding known RNA expression levels of the at least 2 genes, and/or determining the methylation level(s) and RNA expression level(s) of at least 2 features selected from the CpG sites in Table 3 and the genes in Table 1 in a skin sample obtained from the subject, wherein the features comprise at least one CpG site in Table 3 and at least one gene in Table 1, and predicting the subject's MED based on the determined methylation level(s) and RNA expression level(s) using a machine learning model trained on data comprising known MEDs and corresponding known methylation level(s) and RNA expression level(s) of the at least 2 features. The invention further relates to computer programs for carrying out the methods of the invention.

2. 发明申请

WO2023057108A1 METHOD FOR PREDICTING ATOPIC DERMATITIS RELAPSE 审中-公开
公开(公告)号：WO2023057108A1
公开(公告)日：2023-04-13
申请号：PCT/EP2022/071209
申请日：2022-07-28
申请人： BEIERSDORF AKTIENGESELLSCHAFT
发明人： HOLZSCHECK, Nicholas , AL, Benjamin , SEIDEL, Judith , REUTER, Jörn Hendrik
IPC分类号： G01N33/68 , G01N2333/5406 , G01N2333/715 , G01N2333/7158 , G01N2800/202 , G01N2800/52 , G01N2800/54 , G01N33/6863
摘要： The present invention relates to a method for predicting atopic dermatitis relapse, a method for determining a suitable dermatological agent or cosmetic for preventing or delaying atopic dermatitis relapse, and the use of one or more biological protein marker(s) for predicting atopic dermatitis.

3. 发明申请

WO2021148200A1 CLASSIFYING SUBJECTS BASED ON THEIR BIOLOGICAL RESPONSE TO UV IRRADIATION 审中-公开
公开(公告)号：WO2021148200A1
公开(公告)日：2021-07-29
申请号：PCT/EP2020/086094
申请日：2020-12-15
申请人： BEIERSDORF AKTIENGESELLSCHAFT
发明人： HOLZSCHECK, Nicholas , WINNEFELD, Marc , SCHLÄGER, Torsten , GRÖNNIGER, Elke
IPC分类号： C12Q1/68 , C12Q1/6876 , C12Q2600/112 , C12Q2600/124 , C12Q2600/154
摘要： The present invention relates to methods for classifying humans into Molecular Phototypes based on the biological response of their skin to UV irradiation. The method comprises: a) providing skin cells irradiated with UV light obtained from a plurality of human subjects; b) determining the methylation levels and/or expression levels of at least about 100 features in said skin cells, wherein the features are selected from CpG sites and RNAs; c) using the methylation data and/or expression data obtained in step b) to generate a subject similarity network; d) performing cluster analysis on the subject similarity network; and e) defining Molecular Phototypes based on the clusters in the subject similarity network. The invention also relates to methods for identifying biological pathways that are associated with the response to UV irradiation of skin in human subjects belonging to a Molecular Phototype determined by a method described herein. The method comprises: a) providing skin cells irradiated with UV light and control skin cells obtained from a plurality of human subjects belonging to a Molecular Phototype determined by a method described herein; b) determining the expression levels of at least one gene in said irradiated and control skin cells, wherein the at least one gene is annotated to a biological pathway; c) using a machine-learning model trained on the data obtained in step b) to identify whether said at least one gene can discriminate between irradiated and control skin cells; and d) determining the strength of the association between the biological pathway and the response to UV irradiation of skin in the human subjects belonging to the Molecular Phototype, wherein the strength of the association is based on the degree to which the machine-learning model can discriminate between irradiated and control skin cells. Also provided are computer programs relating to the methods.

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