{"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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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":" ","pages":""},"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}
Guixing Wei, Megan M Tran, Lauryn Orsillo, Fatima N Mirza, Sara Yumeen, Eric Yang, Allison Robbins, Aakash Mehta, Zhijun Liu, Terrence Vance, John Kawaoka, Abrar A Qureshi, Oliver J Wisco
{"title":"A Geospatial Analysis of the Association between Access to Tanning Bed Facilities and Melanoma in the United States New England Region.","authors":"Guixing Wei, Megan M Tran, Lauryn Orsillo, Fatima N Mirza, Sara Yumeen, Eric Yang, Allison Robbins, Aakash Mehta, Zhijun Liu, Terrence Vance, John Kawaoka, Abrar A Qureshi, Oliver J Wisco","doi":"10.1016/j.jid.2024.04.038","DOIUrl":"https://doi.org/10.1016/j.jid.2024.04.038","url":null,"abstract":"<p><p>Substantial geographic disparities in melanoma incidence and access to tanning bed facilities exist. In this spatial ecological study, we evaluate the relationship between access to tanning bed facilities and melanoma incidence. New England county-level melanoma incidence rates (2014-2018), tanning bed facilities location, demographic data, socioeconomic data, and geographic data were obtained from the National Cancer Institute State Cancer Profiles, Data Axle, American Community Survey, and United States Geological Survey. Spatial regression models were utilized to determine the association between melanoma incidence and access to tanning beds, adjusting for confounding factors. Adjusted spatial regression identified that for every 1-minute increase in average travel time to tanning facilities within 30 minutes travel time threshold, the melanoma incidence rate decreased by 3.46% in the same county and by 1.92% across New England. We found a negative association between average travel time to tanning facilities and county-level melanoma incidence rate, suggesting that policy aimed at decreasing access to indoor tanning facilities has the potential to reduce melanoma rates. High-risk clusters, with respect to county-level melanoma rate, were also identified. Targeting of interventions and resources to high-risk clusters may reduce geographic melanoma rates disparities.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635544","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":" ","pages":""},"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}