Valerie Horsley, Ophelia E Dadzie, Russell Hall, Nina G Jablonski
{"title":"Disentangling Race from Skin Color in Modern Biology and Medicine.","authors":"Valerie Horsley, Ophelia E Dadzie, Russell Hall, Nina G Jablonski","doi":"10.1016/j.jid.2024.08.029","DOIUrl":"https://doi.org/10.1016/j.jid.2024.08.029","url":null,"abstract":"<p><p>In this review, we examine the taxonomies used to classify people, which influenced the development of the modern disciplines of biology and medicine, including dermatology, throughout the world. Early European scientists and physicians were intertwined with the social environment that created classifications and hierarchies of skin-color-based races, which were reinforced by prevailing political systems that supported colonial economic structures and, in many cases, chattel slavery. Even after genomic analysis of diverse human DNA sequences have revealed that systems of skin color-based racial and ethnic classification lacked biological meaning and were socially constructed, these classifications persist and are reinforced by census classifications and frameworks for comparisons in biomedicine in many parts of the world. The bodies of knowledge and practices that were built on these classifications did not reflect the observable biological diversity of people but the dominant cultural institutions and economic systems of their times. We provide actions for our modern institutions to reduce the underpinnings and ramifications of racial and ethnic classifications ultimately to improve biomedical research and medical care for all patients.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Stephen Rothman Memorial Award 2024.","authors":"Lynn A Cornelius","doi":"10.1016/j.jid.2024.08.032","DOIUrl":"https://doi.org/10.1016/j.jid.2024.08.032","url":null,"abstract":"","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emerging Techniques in Spatial Multiomics: Fundamental Principles and Applications to Dermatology.","authors":"Bojing B Jia, Bryan K Sun, Ernest Y Lee, Bing Ren","doi":"10.1016/j.jid.2024.09.006","DOIUrl":"https://doi.org/10.1016/j.jid.2024.09.006","url":null,"abstract":"<p><p>Molecular pathology, such as high-throughput genomic and proteomic profiling, identifies precise disease targets from biopsies but require tissue dissociation, losing valuable histologic and spatial context. Emerging spatial multi-omic technologies now enable multiplexed visualization of genomic, proteomic, and epigenomic targets within a single tissue slice, eliminating the need for labeling multiple adjacent slices. Although early work focused on RNA (spatial transcriptomics), spatial technologies can now concurrently capture DNA, genome accessibility, histone modifications, and proteins with spatially-resolved single-cell resolution. This review outlines the principles, advantages, limitations, and potential for spatial technologies to advance dermatologic research. By jointly profiling multiple molecular channels, spatial multiomics enables novel studies of copy number variations, clonal heterogeneity, and enhancer dysregulation, replete with spatial context, illuminating the skin's complex heterogeneity.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding Atopic Dermatitis in Asian and European Population Cohorts Using Complementary Omics Techniques.","authors":"Yik Weng Yew, Marie Loh, Sara J Brown","doi":"10.1016/j.jid.2024.08.036","DOIUrl":"10.1016/j.jid.2024.08.036","url":null,"abstract":"<p><p>Atopic dermatitis is highly heterogeneous with respect to pathogenesis, clinical manifestations, and treatment response. There is evidence that ancestry and skin type each contribute to this heterogeneity, indicating the need to improve understanding of disease mechanisms in diverse populations. Methods to integrate multiomics studies have been well-described, but this review focuses on the importance and the strategies needed to integrate data across different ancestral groups, focusing, because of data availability, on Asian and European populations. Skin scientists and clinicians will each benefit from an understanding of how the multiple complimentary layers of omics data may inform future clinical management, from insight into disease pathogenesis and treatment targets.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blue Light-Induced Pigmentation.","authors":"Indermeet Kohli, Henry W Lim","doi":"10.1016/j.jid.2024.09.015","DOIUrl":"https://doi.org/10.1016/j.jid.2024.09.015","url":null,"abstract":"","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MicroRNA Quantification as an Accurate and Cost-Effective Method to Diagnose Acral Melanoma.","authors":"Claudia Gutiérrez-García, Carla Daniela Robles-Espinoza","doi":"10.1016/j.jid.2024.09.002","DOIUrl":"https://doi.org/10.1016/j.jid.2024.09.002","url":null,"abstract":"","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilization of Computable Phenotypes in Electronic Health Record Research: A Review and Case Study in Atopic Dermatitis.","authors":"Joseph Masison, Harold P Lehmann, Joy Wan","doi":"10.1016/j.jid.2024.08.025","DOIUrl":"https://doi.org/10.1016/j.jid.2024.08.025","url":null,"abstract":"<p><p>Querying electronic health records databases to accurately identify specific cohorts of patients has countless observational and interventional research applications. Computable phenotypes are computationally executable, explicit sets of selection criteria composed of data elements, logical expressions, and a combination of natural language processing and machine learning techniques enabling expedited patient cohort identification. Phenotyping encompasses a range of implementations, each with advantages and use cases. In this paper, the dermatologic computable phenotype literature is reviewed. We identify and evaluate approaches and community supports for computable phenotyping that have been used both generally and within dermatology and, as a case study, focus on studied phenotypes for atopic dermatitis.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Teruaki Nakatsuji, Joyce Y Cheng, Anna Butcher, Faiza Shafiq, Olive Osuoji, Richard L Gallo, Tissa R Hata
{"title":"Topical ivermectin treatment of rosacea changes the bacterial microbiome of the skin.","authors":"Teruaki Nakatsuji, Joyce Y Cheng, Anna Butcher, Faiza Shafiq, Olive Osuoji, Richard L Gallo, Tissa R Hata","doi":"10.1016/j.jid.2024.10.592","DOIUrl":"https://doi.org/10.1016/j.jid.2024.10.592","url":null,"abstract":"","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}