Hereditary fibrosing poikiloderma with tendon contractures, myopathy, and pulmonary fibrosis (POIKTMP) is a rare autosomal dominant genetic disorder. It may also involve many other organ systems, leading to complications such as exocrine pancreatic insufficiency, liver dysfunction, lymphedema, and developmental delay. The FAM111B has been determined as the pathogenic gene associated with POIKTMP syndrome, whose protein product plays a critical role in regulating essential cellular processes including DNA repair and replication, cell cycle progression, apoptosis, nuclear transport, and telomere length maintenance. This article has provided a comprehensive review for the genetic basis of POIKTMP syndrome and its correlation with various phenotypes, which may offer insights for basic research and clinical diagnosis of this disease.
Humans ; Pulmonary Fibrosis/genetics* ; Skin Diseases, Genetic/genetics*

Bullous hemorrhagic dermatosis (BHD) is a rare cutaneous manifestation characterized by tense hemorrhagic bullae that appear at sites distant from low molecular weight heparin (LMWH) injections, typically within seven days of exposure. As of March 2022, only 94 cases have been reported. It most commonly affects elderly males with predisposing factors for thromboembolism, such as carcinoma, and usually involves the extremities.

This case highlights the importance of maintaining a high index of suspicion for bullous hemorrhagic dermatosis (BHD) in patients receiving low molecular weight heparin, even beyond the typical 7-day window and in demographics not commonly affected. Early recognition and prompt discontinuation of the offending agent, as demonstrated in this atypical presentation involving a Filipino elderly woman with multiple comorbidities and no malignancy, can lead to favorable outcomes. Clinicians should be aware of this rare but reversible complication to avoid misdiagnosis and ensure appropriate management.

Human ; Female ; Aged: 65-79 Yrs Old ; Affect ; Aged ; Blister ; Carcinoma ; Causality ; Demography ; Diagnostic Errors ; Enoxaparin ; Extremities ; Heparin ; Heparin, Low-molecular-weight ; Index ; Injections ; Lead ; Male ; Molecular Weight ; Neoplasms ; Patients ; Research Report ; Skin Diseases ; Thromboembolism ; Women

OBJECTIVE: To explore the clinical presentation and genetic etiology of a case with Xeroderma pigmentosum in conjunct with basal cell carcinoma and melanoma. METHODS: A male patient with Xeroderma pigmentosum treated at Xinxiang Central Hospital in October 2022 was selected as study subject. Whole exome sequencing (WES) was carried out. Candidate variants were verified by Sanger sequencing of his family members. This study was approved by the Ethics Committee of the hospital (Ethics No.: 2021-167). RESULTS: Magnetic resonance imaging showed that the patient has a solid soft tissue mass in the anterior and lower part of his right eyeball and a small nodule on the left nasal wing. Histopathological biopsy showed that the periocular tumor was basal cell carcinoma in conjunct with malignant melanoma, and the nasal wing tumor was basal cell carcinoma. WES and Sanger sequencing revealed that he has harbored compound heterozygous variants of the XPC gene, namely c.2391delT (p.F797Lfs*11) and IVS1+1G>A, which were inherited from his father and mother, respectively. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variants were rated as likely pathogenic (PVS1+PM2_Supporting+PM3) and pathogenic (PVS1+PM2_Supporting+PM3+PP5), respectively. The c.2391delT variant was unreported previously. Bioinformatic analysis suggests that it could significantly affect the tertiary structure of XPC protein. CONCLUSION The c.2391delT(p.F797Lfs*11) and IVS1+1G>A compound heterozygous variants probably underlay the pathogenesis in this patient. The detection of the novel variant has enriched the mutational spectrum of the XPC gene.
Humans ; Male ; Xeroderma Pigmentosum/genetics* ; Basal Cell Carcinoma/genetics* ; DNA-Binding Proteins/genetics* ; Melanoma/genetics* ; Mutation ; Skin Neoplasms/genetics* ; Middle Aged ; Exome Sequencing ; Pedigree

OBJECTIVES: The presence of multi-scale skin lesion regions and image noise interference and limited resources of auxiliary diagnostic equipment affect the accuracy of skin disease detection in skin disease detection tasks. To solve these problems, we propose a highly efficient and lightweight skin disease detection model using an improved RT-DETR model. METHODS: A lightweight FasterNet was introduced as the backbone network and the FasterNetBlock module was parametrically refined. A Convolutional and Attention Fusion Module (CAFM) was used to replace the multi-head self-attention mechanism in the neck network to enhance the ability of the AIFI-CAFM module for capturing global dependencies and local detail information. The DRB-HSFPN feature pyramid network was designed to replace the Cross-Scale Feature Fusion Module (CCFM) to allow the integration of contextual information across different scales to improve the semantic feature expression capacity of the neck network. Finally, combining the advantages of Inner-IoU and EIoU, the Inner-EIoU was used to replace the original loss function GIOU to further enhance the model's inference accuracy and convergence speed. RESULTS: The experimental results on the HAM10000 dataset showed that the improved RT-DETR model, as compared with the original model, had increased mAP@50 and mAP@50:95 by 4.5% and 2.8%, respectively, with a detection speed of 59.1 frames per second (FPS). The improved model had a parameter count of 10.9 M and a computational load of 19.3 GFLOPs, which were reduced by 46.0% and 67.2% compared to those of the original model, validating the effectiveness of the improved model. CONCLUSIONS The proposed SD-DETR model significantly improves the performance of skin disease detection tasks by effectively extracting and integrating multi-scale features while reducing both parameter count and computational load.
Humans ; Skin Diseases/diagnosis* ; Skin/pathology* ; Neural Networks, Computer ; Algorithms

OBJECTIVES: We propose a new melanoma segmentation model, SG-UNet, to enhance the precision of melanoma segmentation in dermascopy images to facilitate early melanoma detection. METHODS: We utilized a U-shaped convolutional neural network, UNet, and made improvements to its backbone, skip connections, and downsampling pooling sections. In the backbone, with reference to the structure of VGG, we increased the number of convolutions from 10 to 13 in the downsampling part of UNet to achieve a deepened network hierarchy that allowed capture of more refined feature representations. To further enhance feature extraction and detail recognition, we replaced the traditional convolution the backbone section with self-calibrated convolution to enhance the model's ability to capture both spatial and channel dimensional features. In the pooling part, the original pooling layer was replaced by Haar wavelet downsampling to achieve more effective multi-scale feature fusion and reduce the spatial resolution of the feature map. The global attention mechanism was then incorporated into the skip connections at each layer to enhance the understanding of contextual information of the image. RESULTS: The experimental results showed that the SG-UNet model achieved significantly improved segmentation accuracy on ISIC 2017 and ISIC 2018 datasets as compared with other current state-of-the-art segmentation models, with Dice reached 92.41% and 86.62% and IoU reaching 92.31% and 86.48% on the two datasets, respectively. CONCLUSIONS The proposed model is capable of effective and accurate segmentation of melanoma from dermoscopy images.
Melanoma/diagnosis* ; Humans ; Neural Networks, Computer ; Dermoscopy/methods* ; Skin Neoplasms ; Image Processing, Computer-Assisted/methods* ; Calibration ; Algorithms

OBJECTIVES: To investigate the inhibitory effect of multimerin-2 (MMRN2) overexpression on growth and metastasis of cutaneous melanoma cells. METHODS: Clinical data of patients with cutaneous melanoma were obtained from the GEO database to compare MMRN2 expressions between normal and tumor tissues. A protein-protein interaction network was constructed using the STRING database, and the intersecting genes from GEPIA2.0 were subjected to GO and KEGG enrichment analysis. The prognostic relevance of MMRN2 expression level was assessed using Cox regression and "timeROC". The correlations of MMRN2 expression level with immune infiltration and angiogenesis-related genes were analyzed using GSCA database and the ssGSEA algorithm. Colony-forming assay, Transwell assay, and wound healing assay were used to examine the changes in proliferation and migration of cultured cutaneous melanoma cells following MMRN2 knockdown. In a mouse model bearing cutaneous melanoma xenograft, the effect of MMRN2 knockdown on vital organ pathologies, survival of the mice and GM-CSF, CXCL9, and TGF‑β1 protein expressions were analyzed. RESULTS: MMRN2 was significantly upregulated in metastatic cutaneous melanoma (P<0.001). Protein interaction network analysis identified 15 intersecting genes, which were enriched in endothelium development and cell-cell junctions. In patients with cutaneous melanoma, a high MMRN2 expression was correlated with a poor prognosis, an advanced T stage, a greater Breslow depth, and ulceration (P<0.05). MMRN2 expression level was strongly correlated with 24 immune cell types (P<0.001), fibroblasts, endothelial cells, and expressions of the pro-angiogenic genes (KCNJ8, SLCO2A1, NRP1, and COL3A1; P<0.001). In cultured B16F10 cells, MMRN2 knockdown significantly suppressed cell proliferation, migration and invasion and caused remo-deling of the immunosuppressive microenvironment. CONCLUSIONS MMRN2 overexpression drives progression of cutaneous melanoma by enhancing tumor metastasis, angiogenesis and immune evasion, highlighting its potential as a therapeutic target for melanomas.
Humans ; Melanoma/metabolism* ; Animals ; Cell Movement ; Prognosis ; Skin Neoplasms/metabolism* ; Mice ; Cell Proliferation ; Neoplasm Invasiveness ; Cell Line, Tumor ; Protein Interaction Maps

OBJECTIVES: To evaluate the photothermal and antibacterial activities of polydopamine-modified phycocyanin nanoparticles (PDA@PC NPs) and their capacity for promoting wound healing. METHODS: PDA@PC NPs were synthesized from phycocyanin (C-PC) and dopamine hydrochloride using a one-pot method. The photothermal activity of the nanoparticles was assessed in vitro by 808 nm laser irradiation, their biocompatibility was evaluated using CCK-8 assay, and their photothermal antibacterial activity by plate colony counting. In adult male BALB/c mice, two symmetrical full-thickness skin wounds (1.0 cm ×1.0 cm) were created on both sides of the spine, and 200 μL of Staphylococcus aureus suspension was inoculated into the wounds. The mice were divided into control group, PDA@PC NPs group, and PDA@PC NPs with laser irradiation group, and wound healing rates and histomorphological changes in the wound tissues were evaluated on days 0, 7 and 14 after modeling. RESULTS: The synthesized PDA@PC NPs exhibited no obvious cytotoxicity up to a concentration of 500 μg/mL and showed strong photothermal and antibacterial activities in response to 808 nm laser irradiation. In the mouse models, the size of the infected skin wounds showed substantial reduction at 7 and 14 days in PDA@PC NPs group and PDA@PC NPs with laser irradiation group, and the mean wound healing rate was faster in the latter group. HE staining and Masson's trichrome staining revealed extensive granulation tissue formation and collagen deposition on the wound surfaces in both of the treatment groups, and these changes were more obvious in the PDA@PC NPs with laser irradiation group. CONCLUSIONS PDA@PC NPs possess excellent photothermal and antibacterial activities and can effectively promote wound healing in mice.
Animals ; Indoles/chemistry* ; Wound Healing/drug effects* ; Mice ; Mice, Inbred BALB C ; Male ; Nanoparticles ; Polymers/chemistry* ; Phycocyanin/chemistry* ; Skin/injuries* ; Staphylococcus aureus/drug effects* ; Anti-Bacterial Agents/pharmacology*

Frostbite is the most common cold injury and is caused by both immediate cold-induced cell death and the gradual development of localized inflammation and tissue ischemia. Delayed healing of frostbite often leads to scar formation, which not only causes psychological distress but also tends to result in the development of secondary malignant tumors. Therefore, a rapid healing method for frostbite wounds is urgently needed. Herein, we used a mouse skin model of frostbite injury to evaluate the recovery process after frostbite. Moreover, single-cell transcriptomics was used to determine the patterns of changes in monocytes, macrophages, epidermal cells, and fibroblasts during frostbite. Most importantly, human-induced pluripotent stem cell (hiPSC)-derived skin organoids combined with gelatin-hydrogel were constructed for the treatment of frostbite. The results showed that skin organoid treatment significantly accelerated wound healing by reducing early inflammation after frostbite and increasing the proportions of epidermal stem cells. Moreover, in the later stage of wound healing, skin organoids reduced the overall proportions of fibroblasts, significantly reduced fibroblast-to-myofibroblast transition by regulating the integrin α5β1-FAK pathway, and remodeled the extracellular matrix (ECM) through degradation and reassembly mechanisms, facilitating the restoration of physiological ECM and reducing the abundance of ECM associated with abnormal scar formation. These results highlight the potential application of organoids for promoting the reversal of frostbite-related injury and the recovery of skin functions. This study provides a new therapeutic alternative for patients suffering from disfigurement and skin dysfunction caused by frostbite.
Animals ; Organoids/metabolism* ; Mice ; Humans ; Wound Healing ; Frostbite/metabolism* ; Skin/pathology* ; Induced Pluripotent Stem Cells/cytology* ; Cicatrix/pathology* ; Fibroblasts/metabolism* ; Disease Models, Animal ; Mice, Inbred C57BL ; Extracellular Matrix/metabolism* ; Male

Psoriasis is a chronic inflammatory skin disease, and its pathogenesis is largely modulated by abnormal angiogenesis. Previous research has indicated that AlkB homolog 5 (ALKBH5), an important demethylase affecting N⁶-methyladenosine (m⁶A) modification, plays a role in regulating angiogenesis in cardiovascular and eye diseases. Our present study found that ALKBH5 was upregulated and co-localized with cluster of differentiation 31 (CD31) in the skin of IMQ group compared with control group. ALKBH5-deficient mice decreased IMQ-induced psoriatic dermatitis and exhibited histological improvements, including decreased epidermal thickness, hyperkeratosis, numbers of dermal capillary vessels and inflammatory cell infiltration. ALKBH5-KO mice alleviated angiogenesis in psoriatic lesions by downregulating the protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway. Additionally, the expression of ALKBH5 was significantly upregulated in IL-17A-induced human umbilical vein endothelial cells (HUVECs), which further promoted the expression of angiogenesis-related cytokines and endothelial cell proliferation. Cell proliferation and angiogenesis were suppressed in ALKBH5 knockdown group, whereas ALKBH5 overexpression promoted these processes. The regulation of angiogenesis in HUVECs by ALKBH5 was facilitated through the AKT-mTOR pathway. Collectively, ALKBH5 plays a pivotal role in psoriatic dermatitis and angiogenesis, which may offer a new potential targets for treating psoriasis.
Animals ; Psoriasis/chemically induced* ; Mice ; Humans ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; AlkB Homolog 5, RNA Demethylase/genetics* ; Proto-Oncogene Proteins c-akt/metabolism* ; TOR Serine-Threonine Kinases/metabolism* ; Cell Proliferation ; Mice, Knockout ; Disease Models, Animal ; Signal Transduction ; Male ; Skin/blood supply* ; Mice, Inbred C57BL ; Angiogenesis

OBJECTIVE: To investigate the potential mechanisms of sepsis pathogenesis in intensive care unit (ICU), with a specific focus on the role of skin microbiota, and to evaluate the causal relationships between skin microbiota and ICU sepsis using Mendelian randomization (MR). METHODS: A two-sample MR analysis was performed using skin microbiota genome-wide association study (GWAS) summary data from German population cohorts as exposures, combined with ICU sepsis susceptibility and 28-day mortality GWAS summary data from the IEU OpenGWAS database as outcomes. The primary causal effect estimates were generated using the inverse variance weighted (IVW) method, supplemented by validation through MR-Egger and weighted median approaches. Heterogeneity and pleiotropy tests, along with sensitivity analyses, were conducted to evaluate the robustness of the results. RESULTS: Regarding risk of ICU sepsis, IVW analysis showed that order Pseudomonadales [odds ratio (OR) = 0.93, 95% confidence interval (95%CI) was 0.88-0.98], family Flavobacteriaceae (OR = 0.93, 95%CI was 0.90-0.96), and genus Acinetobacter (OR = 0.96, 95%CI was 0.93-0.99) were significantly negatively correlated with the risk of ICU sepsis (all P < 0.05). There was a significant positive correlation between the risk of ICU sepsis and the presence of β-Proteobacteria (OR = 1.05, 95%CI was 1.00-1.11) and Actinobacteria (OR = 1.05, 95%CI was 1.00-1.11), both P < 0.05. Regarding 28-day mortality of ICU sepsis, IVW analysis showed that phylum Bacteroidetes (OR = 0.92, 95%CI was 0.86-0.99), family Streptococcaceae (OR = 0.92, 95%CI was 0.85-0.98), family Flavobacteriaceae (OR = 0.90, 95%CI was 0.83-0.97), genus Streptococcus (OR = 0.92, 95%CI was 0.86-0.99), ASV016 [Enhydrobacter] (OR = 0.92, 95%CI was 0.87-0.98), and ASV042 [Acinetobacter] (OR = 0.92, 95%CI was 0.88-0.97) were significantly negatively correlated with the 28-day mortality of ICU sepsis (all P < 0.05); family Moraxellaceae (OR = 1.09, 95%CI was 1.00-1.18) and ASV008 [Staphylococcus] (OR = 1.08, 95%CI was 1.03-1.14) was significantly positively correlated with the 28-day mortality of ICU sepsis (both P < 0.05). Sensitivity analysis and MR-PRESSO showed no heterogeneity, pleiotropy, or horizontal pleiotropy between skin microbiota and ICU sepsis risk and 28-day mortality rate. Analysis of confounding factors showed that single nucleotide polymorphisms (SNPs) associated with relevant skin bacteria could independently and causally affect the risk of ICU sepsis or ICU sepsis related mortality rate, independent of other confounding factors. The Steiger test results indicated that the established causal relationship was not due to reverse causality. CONCLUSIONS Skin microbiota composition may influence both sepsis susceptibility and 28-day mortality in ICU settings. Family Flavobacteriaceae demonstrated protective effects against sepsis onset and mortality. These findings provide new perspectives for early detection and management strategies.
Humans ; Sepsis/mortality* ; Intensive Care Units ; Mendelian Randomization Analysis ; Microbiota ; Skin/microbiology* ; Genome-Wide Association Study ; Risk Factors ; Skin Microbiome