Pub Date : 2024-11-02DOI: 10.1016/j.jid.2024.09.015
Indermeet Kohli, Henry W Lim
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.jid.2024.08.025
Joseph Masison, Harold P Lehmann, Joy Wan
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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.jid.2024.04.038
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
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.
{"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}
Pub Date : 2024-10-29DOI: 10.1016/j.jid.2024.10.592
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}
Pub Date : 2024-10-29DOI: 10.1016/j.jid.2024.09.019
Nina Rossa Haddad, Beita Badiei, S Leigh Curvin-Aquilla, Arieana Y Johnson, Aiden Willis, Hana B Minsky, Kaitlin L Williams, Luis A Garza
{"title":"Links between Plastics Use, Processed Food, Sweating, and Hidradenitis Suppurativa.","authors":"Nina Rossa Haddad, Beita Badiei, S Leigh Curvin-Aquilla, Arieana Y Johnson, Aiden Willis, Hana B Minsky, Kaitlin L Williams, Luis A Garza","doi":"10.1016/j.jid.2024.09.019","DOIUrl":"10.1016/j.jid.2024.09.019","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":"142559925","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}
Pub Date : 2024-10-29DOI: 10.1016/j.jid.2024.09.018
Crystal T Chang, Pirunthan Pathmarajah, Johan Allerup, Sheharbano Jafry, Kiana Yekrang, Dominique C Mitchell, Niki Ai See, Lila A Perrone, Bradley Fong, Miah D Cisneros, Roxana Daneshjou, Justin Ko, Albert S Chiou
{"title":"DDI-2: A Diverse Skin Condition Image Dataset Representing Self-Identified Asian Patients.","authors":"Crystal T Chang, Pirunthan Pathmarajah, Johan Allerup, Sheharbano Jafry, Kiana Yekrang, Dominique C Mitchell, Niki Ai See, Lila A Perrone, Bradley Fong, Miah D Cisneros, Roxana Daneshjou, Justin Ko, Albert S Chiou","doi":"10.1016/j.jid.2024.09.018","DOIUrl":"https://doi.org/10.1016/j.jid.2024.09.018","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":"142559923","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}
CXCL12 and its receptor CXCR4 emerge as critical regulators within the intricate network of processes ensuring skin homeostasis. In this review, we discuss their spatial distribution and function in steady-state skin; delve into their role in acute wound healing, with emphasis on fibrotic and regenerative responses; and explore their relevance in skin responses to commensals and pathogens. Given the lack of knowledge surrounding ACKR3, the atypical receptor of CXCL12, we speculate whether and how it might be involved in the processes mentioned earlier. Is ACKR3 the (a)typical friend who enjoys missing the party, or do we need to take a closer look?
{"title":"ACKR3 in Skin Homeostasis, an Overlooked Player in the CXCR4/CXCL12 Axis.","authors":"Gabriela Cuesta-Margolles, Géraldine Schlecht-Louf, Françoise Bachelerie","doi":"10.1016/j.jid.2024.08.022","DOIUrl":"https://doi.org/10.1016/j.jid.2024.08.022","url":null,"abstract":"<p><p>CXCL12 and its receptor CXCR4 emerge as critical regulators within the intricate network of processes ensuring skin homeostasis. In this review, we discuss their spatial distribution and function in steady-state skin; delve into their role in acute wound healing, with emphasis on fibrotic and regenerative responses; and explore their relevance in skin responses to commensals and pathogens. Given the lack of knowledge surrounding ACKR3, the atypical receptor of CXCL12, we speculate whether and how it might be involved in the processes mentioned earlier. Is ACKR3 the (a)typical friend who enjoys missing the party, or do we need to take a closer look?</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515675","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}
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