{"title":"Tofacitinib for the Treatment of Severe Alopecia Areata in Adults and Adolescents","authors":"Lucy Yichu Liu , Brett Andrew King","doi":"10.1016/j.jisp.2017.10.003","DOIUrl":"10.1016/j.jisp.2017.10.003","url":null,"abstract":"<div><p>Alopecia areata (AA) is an autoimmune disease affecting people of all ages. There is currently no cure for AA, and a highly efficacious therapy for severe AA has been elusive. Recently, scientific advances have identified the Janus kinase pathway as a target for treatment. Both Janus kinase inhibitors approved by the US Food and Drug Administration, tofacitinib and ruxolitinib, have shown promise in open-label clinical trials. This review summarizes the results of long-term use of tofacitinib in severe AA.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S18-S20"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35683635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation","authors":"Elena Bernardis , Leslie Castelo-Soccio","doi":"10.1016/j.jisp.2017.10.010","DOIUrl":"10.1016/j.jisp.2017.10.010","url":null,"abstract":"<div><p>Quantifying alopecia areata in real time has been a challenge for clinicians and investigators. Although several scoring systems exist, they can be cumbersome. Because there are more clinical trials in alopecia areata, there is an urgent need for a quantitative system that is reproducible, standardized, and simple. In this article, a computer imaging algorithm to recreate the Severity of Alopecia Tool scoring system in an automated way is presented. A pediatric alopecia areata image set of four view-standardized photographs was created, and texture analysis was used to distinguish between normal hair and bald scalp. By exploiting local image statistics and the similarity of hair appearance variations across the pediatric alopecia examples, we then used a reference set of hair textures, derived from intensity distributions over very small image patches, to provide global context and improve partitioning of each individual image into areas of different hair densities. This algorithm can mimic a Severity of Alopecia Tool (score) and may also provide more information about the continuum of changes in density of hair seen in alopecia areata.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S34-S40"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35683640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dory Kranz , Abby Ellison , Natasha A. Mesinkovska , Angela M. Christiano , Maria K. Hordinsky , John E. Harris
{"title":"Building and Crossing the Translational Bridge: 2016 Alopecia Areata Research Summit Highlights","authors":"Dory Kranz , Abby Ellison , Natasha A. Mesinkovska , Angela M. Christiano , Maria K. Hordinsky , John E. Harris","doi":"10.1016/j.jisp.2017.10.004","DOIUrl":"10.1016/j.jisp.2017.10.004","url":null,"abstract":"<div><p>Alopecia areata (AA) is a common autoimmune skin disease that results in the loss of hair on the scalp and elsewhere on the body and affects over 146 million people worldwide at some point in their lives. Founded in 1981, the National Alopecia Areata Foundation is a nonprofit organization that supports research to find a cure or acceptable treatment for AA, supports those with the disease, and educates the public about AA. The National Alopecia Areata Foundation conducts research summits every 2 years to review progress and create new directions in its funded and promoted research. The Foundation brings together scientists from all disciplines to get a broad and varied perspective. These AA research summits are part of the Foundation’s main strategic initiative, the AA Treatment Development Program, to enhance the understanding of AA and accelerate progress toward a viable treatment.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S3-S8"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35683638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cecilia S. Lindestam Arlehamn , Sinu Paul , Eddy Hsi Chun Wang , Annemieke de Jong , Angela M. Christiano , Alessandro Sette
{"title":"Large-Scale Epitope Identification Screen and Its Potential Application to the Study of Alopecia Areata","authors":"Cecilia S. Lindestam Arlehamn , Sinu Paul , Eddy Hsi Chun Wang , Annemieke de Jong , Angela M. Christiano , Alessandro Sette","doi":"10.1016/j.jisp.2017.10.001","DOIUrl":"10.1016/j.jisp.2017.10.001","url":null,"abstract":"","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S54-S56"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35684146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chean Ping Lim , Rachel K. Severin , Lynn Petukhova
{"title":"Big Data Reveal Insights into Alopecia Areata Comorbidities","authors":"Chean Ping Lim , Rachel K. Severin , Lynn Petukhova","doi":"10.1016/j.jisp.2017.10.006","DOIUrl":"10.1016/j.jisp.2017.10.006","url":null,"abstract":"<div><p>Autoimmune diseases create a substantial burden of disease, and alopecia areata is among the more prevalent forms. Comorbidities are medical conditions that tend to occur together and may provide etiologic insights, suggest novel therapeutic strategies, and help patients and family members understand the risk of other health conditions. It is well established that having one autoimmune disease increases risk for others because of an underlying shared biology. Precision medicine initiatives are creating vast amounts of data that allow us to efficiently identify comorbidities. A survey across various datasets suggests that patients with autoimmune disease, and patients with alopecia areata in particular, may have comorbid neuropsychiatric and metabolic conditions.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S57-S61"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35684147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Utility and Validity of the Alopecia Areata Symptom Impact Scale in Measuring Disease-Related Symptoms and their Effect on Functioning","authors":"Tito R. Mendoza , Joyce Osei , Madeleine Duvic","doi":"10.1016/j.jisp.2017.10.009","DOIUrl":"10.1016/j.jisp.2017.10.009","url":null,"abstract":"<div><p>Alopecia areata (AA) is an autoimmune disease that causes hair loss. Although persons with the disease can be physically described as having varying degrees of hair loss, the condition has significant ramifications on an individual’s well-being. We previously reported the preliminary psychometric properties of the Alopecia Areata Symptom Impact Scale (AASIS), a disease-specific measure that asks participants about their AA symptoms and how these symptoms interfere with their daily functioning. The goals of this article are to provide a detailed description of the development of the AASIS items and to offer a psychometric update for the measure. Preliminary items for the AASIS were developed on the basis of responses from 1,649 participants to 125 health-related quality-of-life questions/items from the National Alopecia Areata Registry. Clinicians affiliated with the registry were asked to rate the relevance of these items for content validity. Cluster analysis and clinician ratings were used to reduce the number of items. The resulting 13-item AASIS was administered to 452 participants, who were also cognitively debriefed. Results showed that the AASIS is a valid and reliable measure of AA symptoms and their impact on functioning.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"19 1","pages":"Pages S41-S46"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2017.10.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35683641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Not Just Skin Deep: Systemic Disease Involvement in Patients With Cutaneous Lupus","authors":"Jack C. O’Brien , Benjamin F. Chong","doi":"10.1016/j.jisp.2016.09.001","DOIUrl":"10.1016/j.jisp.2016.09.001","url":null,"abstract":"<div><p>Cutaneous lupus erythematosus, specifically discoid lupus erythematosus, disproportionately affects those with skin of color and may result in greater dyspigmentation and scarring in darker skin types. In this article, we review investigations relevant to cutaneous lupus patients with skin of color at University of Texas Southwestern Medical Center, associations and risk of progression to systemic lupus, and recommendations for monitoring for systemic disease spread. Between 5% and 25% of patients with cutaneous lupus can develop systemic lupus. If they progress to systemic disease, patients often develop mild systemic disease with primarily mucocutaneous and musculoskeletal manifestations. Patients with cutaneous lupus should be followed up closely to monitor for systemic disease involvement. The University of Texas Southwestern Cutaneous Lupus Erythematosus Registry, of which almost two thirds of participants are those with skin of color, is a part of an ongoing effort to better understand the pathophysiologic mechanisms of CLE and to identify prognostic indicators of risk of progression to systemic lupus.</p></div>","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"18 2","pages":"Pages S69-S74"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2016.09.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35380887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"016 Anesthetics Prior to Keloid Injections: A Painless Approach","authors":"Lauren Henderson, Bryan T. Carroll","doi":"10.1016/j.jisp.2016.10.018","DOIUrl":"https://doi.org/10.1016/j.jisp.2016.10.018","url":null,"abstract":"","PeriodicalId":54791,"journal":{"name":"Journal of Investigative Dermatology Symposium Proceedings","volume":"18 2","pages":"Page S87"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jisp.2016.10.018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72081190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}