Skin Research and Technology最新文献

{"title":"Bayesian-Edge system for classification and segmentation of skin lesions in Internet of Medical Things.","authors":"Shahid Naseem, Muhammad Anwar, Muhammad Faheem, Muhammad Fayyaz, Muhammad Sheraz Arshad Malik","doi":"10.1111/srt.13878","DOIUrl":"10.1111/srt.13878","url":null,"abstract":"<p><strong>Background: </strong>Skin diseases are severe diseases. Identification of these severe diseases depends upon the abstraction of atypical skin regions. The segmentation of these skin diseases is essential to rheumatologists in risk impost and for valuable and vital decision-making. Skin lesion segmentation from images is a crucial step toward achieving this goal-timely exposure of malignancy in psoriasis expressively intensifies the persistence ratio. Defies occur when people presume skin diseases they have without accurately and precisely incepted. However, analyzing malignancy at runtime is a big challenge due to the truncated distinction of the visual similarity between malignance and non-malignance lesions. However, images' different shapes, contrast, and vibrations make skin lesion segmentation challenging. Recently, various researchers have explored the applicability of deep learning models to skin lesion segmentation.</p><p><strong>Materials and methods: </strong>This paper introduces a skin lesions segmentation model that integrates two intelligent methodologies: Bayesian inference and edge intelligence. In the segmentation model, we deal with edge intelligence to utilize the texture features for the segmentation of skin lesions. In contrast, Bayesian inference enhances skin lesion segmentation's accuracy and efficiency.</p><p><strong>Results: </strong>We analyze our work along several dimensions, including input data (datasets, preprocessing, and synthetic data generation), model design (architecture, modules), and evaluation aspects (data annotation requirements and segmentation performance). We discuss these dimensions from seminal works and a systematic viewpoint and examine how these dimensions have influenced current trends.</p><p><strong>Conclusion: </strong>We summarize our work with previously used techniques in a comprehensive table to facilitate comparisons. Our experimental results show that Bayesian-Edge networks can boost the diagnostic performance of skin lesions by up to 87.80% without incurring additional parameters of heavy computation.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11289430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141856431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental exposures and chronic inflammatory dermatoses: Preventive and therapeutic strategies.","authors":"Isabella J Tan, Aarushi K Parikh, Bernard A Cohen","doi":"10.1111/srt.70009","DOIUrl":"10.1111/srt.70009","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11318030/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141917419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of partial infections with the risk of psoriasis: A two-sample Mendelian randomization study.","authors":"Minghui Lu, Changyong Gao, Runtian Zhang, Lingling Yuan, Xi Chen, Boping Zhang","doi":"10.1111/srt.70002","DOIUrl":"10.1111/srt.70002","url":null,"abstract":"<p><strong>Background: </strong>As a common chronic recurrent inflammatory skin disease, psoriasis is characterized by erythema and scaly skin lesions, with infection as an integral part of the pathogenesis of many diseases. Many previous cases reported the impact of psoriasis on infection. However, the existing research fails to completely clarify the infection factors associated with the potential of these diseases and causality.</p><p><strong>Materials and methods: </strong>Thirteen kinds of pathogens and their immune responses and psoriasis in the phenotype of 46 species of SNPs data were respectively obtained from the GWAS catalog database and the UK biobank database. With the help of R software, three methods of inverse variance weighted (IVW), weighted median (WME), and MR-Egger regression were used to analyze the causality of the dataset.</p><p><strong>Results: </strong>According to the results of IVW analysis, there is a causal relationship between anti-Epstein Barr virus antibody and psoriasis (OR: 1.003, 95% CI: 1.001∼1.006, P = 0.046) with a positive correlation.</p><p><strong>Conclusion: </strong>Based on the results of MR analysis, there is a causal relationship between psoriasis and EBV infection, which indicates that EBV infection can increase the risk or severity of psoriasis. Therefore, in clinical scenarios, patients afflicted with psoriasis should be prevented from contracting the infection and recurrence of EBV as well as symptoms of psoriasis. The underlying immunological mechanism also provides a new perspective for experimental research.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11337910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142018561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Key genes and immune infiltration patterns and the clinical implications in psoriasis patients.","authors":"Xinyu Zhang, Luyi Tan, Chenyu Zhu, Min Li, Wenli Cheng, Wenji Zhang, Yibo Chen, Wenjuan Zhang","doi":"10.1111/srt.13889","DOIUrl":"10.1111/srt.13889","url":null,"abstract":"<p><strong>Background: </strong>Psoriasis is an immune-mediated skin disease, closely related to immune regulation. The aim was to understand the pathogenesis of psoriasis further, reveal potential therapeutic targets, and provide new clues for its diagnosis, treatment, and prevention.</p><p><strong>Materials and methods: </strong>Expression profiling data were obtained from the Gene Expression Omnibus (GEO) database for skin tissues from healthy population and psoriasis patients. Differentially expressed genes (DEGs) were selected for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) analysis separately. Machine learning algorithms were used to obtain characteristic genes closely associated with psoriasis. Receiver operating characteristic (ROC) curve was used to assess the diagnostic value of the characteristic genes for psoriasis. The Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to calculate the proportion of immune cell infiltration. Correlation analysis was used to characterize the connection between gene expression and immune cell, Psoriasis Area and Severity Index (PASI).</p><p><strong>Results: </strong>A total of 254 DEGs were identified in the psoriasis group, including 185 upregulated and 69 downregulated genes. GO was mainly enriched in cytokine-mediated signaling pathway, response to virus, and cytokine activity. KEGG was mainly focused on cytokine-cytokine receptor interaction and IL-17 signaling pathway. GSEA was mainly in chemokine signaling pathway and cytokine-cytokine receptor interaction. The machine learning algorithm screened nine characteristic genes C10orf99, GDA, FCHSD1, C12orf56, S100A7, INA, CHRNA9, IFI44, and CXCL9. In the validation set, the expressions of these nine genes increased in the psoriasis group, and the AUC values were all > 0.9, consistent with those of the training set. The immune infiltration results showed increased proportions of macrophages, T cells, and neutrophils in the psoriasis group. The characteristic genes were positively or negatively correlated to varying degrees with T cells and macrophages. Nine characteristic genes were highly expressed in the moderate to severe psoriasis group and positively correlated with PASI scores.</p><p><strong>Conclusion: </strong>High levels of nine characteristic genes C10orf99, GDA, FCHSD1, C12orf56, S100A7, INA, CHRNA9, IFI44, and CXCL9 were risk factors for psoriasis, the differential expression of which was related to the regulation of immune system activity and PASI scores, affecting the proportions of different immune cells and promoting the occurrence and development of psoriasis.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11311119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141907645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of vitamin D with risk of warts: A retrospective and Mendelian randomization study.","authors":"Yuting Cao, Xiaoying Zhou, Huan Yang","doi":"10.1111/srt.13911","DOIUrl":"10.1111/srt.13911","url":null,"abstract":"<p><strong>Background: </strong>The clinical strategy of oral supplementation of Vitamin D (VD) as a preventive and therapeutic measure for warts needs further exploration.</p><p><strong>Methods: </strong>The clinical data of patients with skin diseases who visited the Children's Hospital affiliated with Chongqing Medical University from February 2018 to June 2024 were collected. The serum VD levels in patients with warts (common warts, flat warts, and plantar warts) and patients with other common skin diseases (atopic dermatitis, psoriasis, alopecia areata, vitiligo, and chronic urticaria) were compared. Two-sample bidirectional Mendelian randomization (MR) analysis was performed to investigate potential causal associations between VD and warts.</p><p><strong>Results: </strong>The average serum VD level of children with warts was 23.27 ± 7.07 ng/mL, which showed no statistically significant difference compared to children with other common skin diseases. The inverse variance weighted (IVW) method analysis indicated a positive causal relationship between VD and warts (Odds Ratio [OR] = 1.86, [95% CI: 1.19-2.92], p = 0.007). Sensitivity analysis did not show any indication of horizontal pleiotropy or heterogeneity. The MR-PRESSO method did not identify any outliers.</p><p><strong>Conclusion: </strong>The levels of serum VD in children with warts do not significantly decrease compared to children with other common skin conditions. The evidence from the MR analysis indicates a positive causal relationship between VD and warts, suggesting caution in supplementing VD for children with warts who have normal or elevated serum VD levels. Further clinical studies are needed for validation in the future.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11314362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a noninvasive and label-free imaging system for human interfollicular epidermal stem cells based on cell morphology.","authors":"Katsuma Miyachi, Takeru Shiraishi, Ayumi Sanada, Yoshie Ishii, Osamu Hirose, Takaaki Yamada, Toshio Igarashi, Seiji Hasegawa, Masaru Arima, Yohei Iwata, Kazumitsu Sugiura, Hirohiko Akamatsu","doi":"10.1111/srt.13887","DOIUrl":"10.1111/srt.13887","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11291864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141860775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ghrelin induced by ultraviolet B exposure promotes the restoration of diabetic cutaneous wound healing.","authors":"Qi-Rui Fu, Sha Peng, Chang-Qing Zhu, Lu-Si Chen, Yan Sun, Wan-Mei Li","doi":"10.1111/srt.13919","DOIUrl":"10.1111/srt.13919","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus (DM) presents impediment to wound healing. While ultraviolet B (UVB) exposure showed therapeutic potential in various skin conditions, its capacity to mediate diabetic wound healing remains unclear. To investigate the efficacy of UVB on wound healing and its underlying basis.</p><p><strong>Materials and methods: </strong>Male C57BL/6 mice were subjected to the high-fat diet followed by streptozotocin administration to establish the diabetic model. Upon confirmation of diabetes, full-thickness wounds were inflicted and the treatment group received UVB radiation at 50 mJ/cm² for 5 min every alternate day for 2 weeks. Wound healing rate was then assessed, accompanied by evaluations of blood glucose, lipid profiles, CD31 expression, and concentrations of ghrelin and leptin. Concurrently, in vitro studies were executed to evaluate the protective role of ghrelin on human umbilical vein endothelial cells (HUVEC) under high glucose (HG) conditions.</p><p><strong>Results: </strong>Post UVB exposure, there was a marked acceleration in wound healing in DM mice without alterations in hyperglycemia and lipid profiles. Compared to non-UVB-exposed mice, the UVB group showed enhanced angiogenesis manifested by a surge in CD31 expression. This trend appeared to be in harmony with the elevated ghrelin levels. In vitro experiments indicated that ghrelin significantly enhanced the migratory pace and angiogenic properties of HUVEC under HG-induced stress, potentially mediated by an upregulation in vascular endothelial growth factor expression.</p><p><strong>Conclusion: </strong>UVB exposure bolstered wound healing in diabetic mice, plausibly mediated through augmented angiogenesis induced by ghrelin secretion. Such findings underscore the vast potential of UVB-induced ghrelin in therapeutic strategies targeting diabetic wound healing.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11306919/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141902830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Muir-Torre syndrome in Fitzpatrick skin phototype V assessed by dermoscopy and reflectance confocal microscopy.","authors":"Jeremy Orloff, Patricia Cabral, Lisa Zhou, Austin J Piontkowski, Camille M Powers, George Niedt, Francesca Farnetani, Nicholas Gulati","doi":"10.1111/srt.13825","DOIUrl":"10.1111/srt.13825","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141976582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The causal relationship between androgenetic alopecia and serum uric acid: A bidirectional Mendelian randomization analysis.","authors":"Yan Yu, Shu Wang, Zijun Wu, Jinru Lin, Huiping Wang","doi":"10.1111/srt.13912","DOIUrl":"10.1111/srt.13912","url":null,"abstract":"<p><strong>Background: </strong>Despite numerous studies investigating the association between androgenetic alopecia (AGA) and serum uric acid (SUA), the causal relationship between AGA and SUA remains unknown.</p><p><strong>Methods: </strong>We utilized bidirectional Mendelian randomization (MR) to explore the causality between AGA and SUA. Our study chose single nucleotide polymorphisms associated with genome-wide significance (p < 5×10^-8) for the exposure and showing low linkage disequilibrium (R² < 0.001) as IVs. Various MR methods were employed to evaluate causality, including inverse-variance weighted (IVW), Weighted Median, MR-Egger, Weighted Mode and Simple Mode. Sensitivity analyses were performed to test the robustness of the results.</p><p><strong>Results: </strong>Using the IVW method, we did not find a significant causal relationship between AGA and SUA (OR = 1.00, 95% CI 0.99-1.01; p = 0.451). Similarly, the IVW method did not reveal evidence of causality between SUA and AGA (OR = 0.97, 95% CI = 0.91-1.03; p = 0.301). The results from other methods were consistent with those of the IVW approach.</p><p><strong>Conclusion: </strong>The study did not identify a causal relationship between AGA and SUA. Future research should involve larger cohorts and advanced methods to validate the findings and explore the complex interactions between AGA and SUA levels in different populations.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141976583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Musical note flap repair large defects of the proximal nail fold: A case report.","authors":"Renheng Zhu, Shuqiong Huang, Dingbin Yang","doi":"10.1111/srt.70027","DOIUrl":"10.1111/srt.70027","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11343799/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}