JID Innovations

Epidermodysplasia verruciformis (EV) is characterized by susceptibility to cutaneous {beta}-human papillomaviruses, persistent viral lesions and an increased risk of cutaneous squamous cell carcinoma (cSCC). We investigated whether expression of Toll-like receptors 3, 4, 5 and 9 (TLR3, TLR4, TLR5 and TLR9) differs across histological states within EV. Immunoreactivity was quantified by digital H-score using QuPath in 97 specimens from 28 patients, comprising 13 lesion-free skin samples, 15 flat warts and 69 cSCCs. Prespecified comparisons evaluated flat wart versus lesion-free skin, cSCC versus non-neoplastic tissue and invasive versus in situ cSCC, with invasive tumour differentiation assessed secondarily. Patient-clustered generalized estimating equations and false-discovery-rate (FDR) correction were used for inference. After correction for multiple testing, TLR9 H-scores were higher in flat warts than in lesion-free skin ({beta}=60.58; q=0.0332). Compared with non-neoplastic tissue, cSCC showed lower TLR3 ({beta}=-81.40; q=0.00745), higher TLR4 ({beta}=55.59; q=0.04793) and lower TLR9 expression ({beta}=-34.80; q=0.03412). TLR5 showed a nominal increase in cSCC that did not meet the FDR threshold. None of the four receptors differed significantly between invasive and in situ cSCC, and no differentiation trend remained significant after FDR correction. These findings show receptor-specific differences in TLR expression across histological states of EV, particularly involving TLR3, TLR4 and TLR9, although the diagnostic and prognostic significance of these tissue patterns remains to be established.

Background: Self-supervised learning may improve segmentation when labelled data are limited, but its benefit may depend on model and initialisation strategy. This study evaluated in-domain masked-reconstruction pretraining across limited annotation budgets. Methods: The International Skin Imaging Collaboration (ISIC) 2016 development set was partitioned into 765 images for self-supervised pretraining, 94 for fine-tuning and 41 for validation. Five nested annotation budgets (12-94 images) and five seeds were evaluated on the 379-image test set. A custom U-Net compared random and in-domain self-supervised initialisation; a ResNet-34 U-Net compared random, ImageNet, in-domain self-supervised and sequential ImageNet-to-self-supervised initialisation. Models trained with 94 labelled images were evaluated without adaptation on ISIC 2017. A separate experiment examined restoration-based pretraining. Results: In the custom U-Net, self-supervised pretraining achieved higher mean Dice than random initialisation at all five budgets, including 0.664 versus 0.615 with 12 labels and 0.811 versus 0.768 with 94 labels. Seed-level 95% confidence intervals for paired differences excluded zero at 47 and 94 labels but not at the other budgets. With 47 labels, the self-supervised model achieved mean Dice of 0.789, compared with 0.768 for random initialisation with 94 labels. In ResNet-34, ImageNet initialisation achieved higher mean Dice than in-domain self-supervised pretraining at all five budgets, and adding self-supervised pretraining after ImageNet reduced mean Dice at four of five budgets. All six 94-label configurations achieved lower mean Dice on ISIC 2017 than ISIC 2016. In the restoration experiment, mean Dice was 0.686 with random initialisation and 0.638-0.642 following pretraining. Conclusions: In-domain masked-reconstruction pretraining improved mean Dice relative to random initialisation in the custom U-Net, but not consistently in the ResNet-34 U-Net, where ImageNet initialisation performed better at every budget. Adding self-supervised pretraining after ImageNet provided no consistent gain. These findings are specific to the dermoscopic lesion-segmentation experiments and do not establish melanoma-specific diagnostic or clinical performance.

Nurse-led skin cancer screening extends specialist reach but depends on the nurse selecting which lesions to forward for diagnosis, and performance varies with experience. We evaluated whether real-time decision support using artificial intelligence (AI) improves malignancy detection in routine nurse-led teledermoscopy screening across MoleMap clinics in New Zealand and Australia (January 2024-July 2025). In this real-world study, clinics using AI decision support were compared with standard clinics. Nurses examined patients, captured dermoscopic images, and forwarded selected lesions to teledermatologists, who provided the reference diagnosis. The analytic cohort comprised 1,102,382 lesions from 98,422 patients across 577 sites. AI-assisted screening was associated with a higher malignancy detection rate than standard screening (25.5 vs 15.7 malignancies per 1,000 lesions; odds ratio adjusted for nurse experience 1.73, 95% CI 1.68-1.77), a finding consistent across all nurse-experience tiers and the three major malignant subtypes. AI assistance was also associated with a shift in recommended management: 21 additional intervention recommendations and 13 additional safety-netting recommendations (self-monitoring, short-term follow-up, or specialist referral) per 1,000 lesions, approximately balanced by 34 fewer no-action recommendations. The reference standard was teledermatologist diagnosis and allocation was not randomised; findings are therefore associational and require prospective, outcome-based confirmation.

Digital photography remains the gold standard for dermatological assessment, but reliance on standardized stationary image-capture systems limits trial scalability, whereas smartphones combined with computer vision artificial intelligence (AI) could enable hybrid and decentralized clinical trials (DCTs). This study assessed the facial feature grading of an AI-based system against expert panel consensus across three settings with decreasing acquisition control: Standard Studio Imaging (SSI), Clinic Smartphone Imaging (CSI), and Home Smartphone Imaging (HSI). Expert inter-rater reliability was good to excellent (median ICC 0.84-0.90), and the system showed high operator-independent test-retest repeatability across independently captured images (median ICC 0.97-0.98). Agreement with experts was maintained across all settings for macro-geometric features (ptosis {rho} = 0.74-0.81, nasolabial fold {rho} = 0.68-0.79) and for discrete pigmentation and inflammatory lesions (pigmented spot density {rho} = 0.62-0.76), declined for fine-texture features under uncontrolled acquisition (forehead wrinkles {rho} = 0.76 to 0.48), and remained limited for color-dependent features irrespective of setting. These findings support the AI-based system as an objective grading tool for a defined subset of facial endpoints in hybrid and DCTs in dermatology.

Hypothyroidism has been associated with increased skin cancer risk, whereas greater genetic susceptibility to hypothyroidism is associated with lower risk. These opposing associations suggest that the average risk associated with hypothyroidism may conceal substantial heterogeneity among patients, and that genetic background could help identify those at highest risk. In this study, we analyzed more than 650,000 individuals across All of Us and FinnGen cohorts to determine whether a hypothyroidism polygenic risk score (H-PRS) stratifies skin cancer risk among patients with autoimmune hypothyroidism and whether integration of a skin cancer polygenic risk score (SC-PRS) further refines risk. In FinnGen, autoimmune hypothyroidism was associated with increased skin cancer hazard (hazard ratio [HR] = 1.10; 95% CI [1.06, 1.15]), whereas H-PRS was inversely associated with risk (HR=0.97 per 1-SD increase; 95% CI [0.95, 0.98]). The hypothyroidism x H-PRS interaction was also negative (HR=0.94; 95% CI [0.91, 0.98]), indicating greater hypothyroidism-associated risk at lower H-PRS. The hypothyroidism and H-PRS associations replicated in All of Us, and similar H-PRS risk gradients were observed for melanoma, basal cell carcinoma, and squamous cell carcinoma in both cohorts. Among hypothyroid patients, predicted 10-year risk increased with higher SC-PRS and lower H-PRS. Combined clinical-genetic profiles had HRs ranging from 2.32 at the 20th H-PRS/80th SC-PRS percentiles to 3.37 at the 5th/95th percentiles, exceeding published point estimates for the established dermatological risk factors. Among women aged 55, representing the more commonly affected sex at approximately the median age of diagnosis, 10-year risk of skin cancer was 14.9% (95% CI [8.4%, 20.9%]) in the highest-SC-PRS/lowest-H-PRS quartiles versus 2.8% (95% CI [1.0%, 4.7%]) in the opposite quartiles. Overall, these findings support PRS-guided risk stratification for targeted skin cancer prevention and surveillance.

Abstract Background: Immune-mediated skin diseases frequently co-occur, but the molecular architecture connecting clinically distinct disorders, and the extent to which molecular proximity predicts shared therapeutic opportunity, remain incompletely defined. We constructed a multilayer skin diseasome integrating transcriptomic overlap, pathway enrichment, protein-interactome topology, curated disease associations, real-world clinical co-occurrence, and drug-perturbation signatures across psoriasis (PS), atopic dermatitis (AD), hidradenitis suppurativa (HS), vitiligo (VL), and chronic spontaneous urticaria (CSU), using sodium lauryl sulfate-induced irritant contact dermatitis (SLS-ICD) as a mechanistically distinct barrier-injury comparator. Methods: Differentially expressed genes (DEGs) were derived from publicly available NCBI Gene Expression Omnibus datasets and compared using exclusive pairwise and higher-order intersections. Gene Ontology biological-process enrichment characterized shared and condition-specific programs. Interactome-based network separation (S_AB) quantified the relative topological proximity of disease modules. DisGeNET enrichment generated candidate disease +associations, a selected subset of which was examined descriptively for patient co-occurrence in TriNetX. Candidate compounds were ranked by reversal of disease-associated expression signatures against LINCS L1000 perturbation profiles. Results: The largest exclusive DEG intersection occurred between PS and HS (2,060 genes), followed by AD-PS-HS (490), VL-PS (464), AD-PS (402), and VL-PS-HS (379). Fourteen genes were shared across PS, AD, HS, VL, and CSU but not SLS-ICD. Neutrophil-associated processes recurred across the immune-mediated conditions, whereas SLS-ICD was dominated by keratinization and epidermal-differentiation programs. PS and HS had the lowest observed network-separation value (S_AB = -0.594); SLS-ICD had positive S_AB values in all five comparisons, although this separation did not persist once module sizes were harmonized. DisGeNET linked the index conditions to diverse immune, cardiovascular, neurologic, and neoplastic categories; 42 of these candidate diseases were observed to co-occur with an index condition in the queried TriNetX cohorts. Drug-signature overlap was greatest between PS and CSU, despite their marginal interactome separation, indicating that interactome proximity and predicted pharmacologic reversal capture different dimensions of disease relatedness. mTOR/PI3K-pathway inhibitors were prominent among the psoriasis reversal candidates, while methotrexate and mycophenolate mofetil emerged from both the CSU signature and the curated gene set associated with HIV infection. Conclusion: Multilayer integration identified a connected molecular core among five immune-mediated skin diseases and a distinct SLS-ICD injury module. The discordance between interactome proximity and drug-signature overlap suggests that no single layer adequately defines disease relatedness. These findings provide a hypothesis-generating framework for prioritizing disease links and repurposing candidates, but controlled epidemiologic analyses and experimental validation are required before clinical or therapeutic inference.

OBJECTIVE To assess associations of ambient UV with cardiovascular and cancer mortality across US Health Service Areas (HSAs), prioritise outcomes by signal and attributable burden, assess racial and ethnic variation, with UK Biobank corroboration. DESIGN Ecological analysis of HSAs using linear regression of crude mortality on ambient UV and social vulnerability, with correction for multiple comparisons. SETTING US HSAs and UK Biobank. DATA SOURCES Publicly available US data and UK Biobank data accessed under Application 82526. PARTICIPANTS 704 808 annual cardiovascular deaths (aged [&ge;]65) and 565 287 annual cancer deaths (aged [&ge;]50) from populations of 52.8 and 115.2 million; UK Biobank analyses included 412 665 individuals. MAIN OUTCOME MEASURES Cardiovascular, all-cancer, and body-site-specific cancer mortality; regression slope per interquartile-range increase in UV ({beta} UV/IQR), modelled attributable burden for US data, and hazard ratios for the UK Biobank data. RESULTS Higher UV was associated with lower cardiovascular ({beta}UV/IQR -68.3 deaths/100 000; P<0.001) and all-cancer mortality (-43.2; P<0.001), corresponding to 36 043 (5.1%) and 49 789 (8.8%) fewer US deaths annually, respectively. Associations varied by race and ethnicity. Cardiovascular findings were directionally consistent between US and UK datasets. All-cancer mortality and 10 of 18 cancers were inversely associated with UV in the US; UK analyses found inverse associations for all-cancer and two individual body-site-specific cancers. Twelve cancers showed directionally concordant associations across the datasets, of which ten were inverse. Lung cancer showed the strongest inverse association in each dataset. CONCLUSIONS Higher UV was associated with lower cardiovascular and cancer mortality across US HSAs, with modelled attributable burdens exceeding 5%; UK Biobank findings provided partial corroboration. Twelve of 18 site-specific cancers were directionally concordant between datasets. US race-stratified heterogeneity did not follow a skin-colour gradient, suggesting residual confounding.

Foundation models (FMs) have rapidly become dominant in artificial intelligence and are increasingly being adopted in computational pathology. Numerous pathology-specific FMs have been developed and evaluated for a variety of downstream tasks, most commonly using frozen image embeddings with linear probes. While a pathology FM, at least implicitly suggests broad reusability across tasks, the transferability of these models to neurodegenerative disease-related tasks remains largely unexplored. In this study, we evaluated fourteen frozen feature extractors, including general-vision and pathology FMs, across four pathology image classification datasets spanning two specialized neurodegenerative disease immuno-histochemistry (IHC) tasks (Tau neurofibrillary tangle (NFT) and amyloid-{beta} plaque classification) and two cancer-related hematoxylin and eosin (H&E) tasks (the breast tissue BACH dataset and the multi-tissue TIL dataset). The cancer-related H&E datasets represent tasks more closely aligned with the predominant pretraining domain of many current pathology FMs, whereas the neurodegenerative IHC datasets represent a more specialized domain with limited representation in existing FM pretraining cohorts. Frozen embedding linear probes were compared against a conventional supervised ResNet-50 convolutional neural network (CNN) trained directly on image tiles using identical train, validation, and test splits. Across both neurodegenerative IHC datasets, the supervised CNN substantially outperformed all frozen FM linear probes. In contrast, pathology FMs achieved performance comparable to, and in some cases exceeding, the supervised CNN across the two cancer-related H&E datasets, with UNI2-h achieving the highest performance on BACH and several pathology FMs performing on par with the CNN on the larger TIL dataset. Furthermore, a supervised CNN trained using only 1% of the Tau NFT training data (1,938 tiles) still exceeded the performance of the best frozen FM linear probe trained on the complete dataset. Together, these results suggest the transferability of frozen pathology FMs may depend strongly on how well the downstream task is represented by their pretraining domain. These findings demonstrate frozen pathology FMs transfer effectively to the cancer-related H&E tasks evaluated here but may be less effective for specialized neurodegenerative IHC tasks less well represented in current FM pretraining cohorts. Expanding pathology FM pretraining datasets to include a broader range of disease domains and staining modalities may therefore improve transferability to specialized pathology applications. Our findings also highlight the continued importance of conventional supervised learning and motivate future work investigating nonlinear probes and end-to-end FM fine-tuning.

Background Vitiligo is an acquired depigmenting disorder characterised by melanocyte loss. While immune responses against melanocytes are implicated in its pathogenesis, melanocyte detachment, melanocyte senescence and aberrant epidermal differentiation are increasingly characterised as additional pathological features. Granzyme B (GzmB), classically recognised as an intracellular effector of perforin-dependent cytotoxicity, is increased in vitiligo lesions; however, its extracellular contribution to vitiligo pathology remains unclear. Objectives To determine whether extracellular GzmB contributes to depigmentation and epidermal pathological features relevant to vitiligo, and to define its cellular source and underlying mechanisms. Methods Human vitiligo skin samples, murine depigmentation models and cultured human epidermal cells were analysed. The functional effects of extracellular GzmB were examined by subcutaneous administration of recombinant GzmB in mice. A rhododendrol (RD)-induced leukoderma model was used to evaluate the disease relevance of GzmB and the therapeutic effect of topical GzmB inhibition with VTI-1002. Results GzmB-positive cells were markedly increased in active vitiligo lesions and were predominantly associated with tryptase-positive cells, with limited co-distribution with CD8 or perforin. Vitiligo lesions also showed melanocyte detachment, increased p16INK4A-positive melanocytes and aberrant keratinocyte differentiation. These pathological features were recapitulated in vivo by extracellular GzmB administration, accompanied by focal depigmentation. In cultured melanocytes, GzmB exerted no cytotoxic effects but reduced attachment strength and induced a senescence-associated phenotype characterised by decreased extracellular matrix- and adhesion-related gene expression, increased p16INK4A level, elevated senescence-associated {beta}-galactosidase activity and activation of transforming growth factor-{beta}/SMAD signalling. In keratinocytes, extracellular GzmB promoted aberrant differentiation associated with activation of p53 signalling. Topical inhibition of GzmB in RD-induced leukoderma attenuated depigmentation progression, melanocyte detachment, melanocyte senescence and abnormal epidermal differentiation. Conclusions Extracellular GzmB promotes depigmentation associated with inducing melanocyte detachment, melanocyte senescence and aberrant keratinocyte differentiation. These findings identify extracellular GzmB as a previously underrecognised pathogenic mediator and potential therapeutic target in vitiligo-associated depigmentation.

Tissue expansion is an established technique for the reconstruction of skin defects, but the cost of conventional silicone expanders may limit its application in contexts with lower resource availability. This study evaluated, in an experimental model, whether a container for storing saline solution could act as a low-cost alternative device for tissue expansion. An experimental, prospective, controlled and randomized study was carried out with 10 Wistar rats, distributed in two groups: conventional silicone expander and saline storage container. Both underwent the same surgical and expansion protocol. Abdominal circumference gain, final expanded skin length, histological and histomorphometric aspects of the skin, including collagen types I and III, as well as exploratory cost analysis, were analyzed. The conventional expander produced a greater gain in abdominal circumference, but the final length of the expanded skin was similar between the groups. Microscopic evaluation showed preservation of the cutaneous architecture, intact epidermis, cellularized dermis, and collagen deposition in both groups. There was no significant difference in the proportion of type I or type III collagen. The saline solution container had a substantially lower cost per centimeter of expanded skin than the conventional expander. These findings suggest that the saline container can produce experimental skin expansion with final length and collagen composition similar to the conventional method, at a lower cost, although additional studies are needed before clinical application.

Validated biomarkers for identifying patients with early-stage melanomas at high risk of metastasis are limited. We have previously shown that loss of Activating Molecule in Beclin-1-Regulated Autophagy (AMBRA1) and loricrin in the epidermal microenvironment is associated with tumour recurrence. Here we show that endothelial AMBRA1 deficiency contributes to vascular dysfunction and melanoma progression. Melanoma-conditioned media or exposure to TGF{beta}1-3 ligands induced post-transcriptional loss of AMBRA1 in endothelial cells. Transcriptomic profiling in both in vitro and human melanoma single-cell RNA sequencing datasets showed activation of cell-cycle and metabolic programmes alongside suppression of endothelial junction, adhesion and immune-supportive pathways in AMBRA1-deficient endothelial cells. Functionally, AMBRA1 loss increased endothelial cell proliferation, accelerated early tubulogenesis, impaired three-dimensional spheroid adhesion, stabilised endothelial-to-mesenchymal transition-associated transcription factors Slug and Snail, and reduced Claudin-5, VE-cadherin and N-cadherin, indicative of endothelial plasticity and dysfunction. Furthermore, loss of AMBRA1 in a subset of intratumoural and peritumoural blood and lymphatic vessels correlated significantly with metastatic progression in a cohort of 121 non-ulcerated primary AJCC stage I/II melanomas classified as AMBLor at-risk. Collectively, these findings position endothelial AMBRA1 as a regulator of vascular plasticity, dysfunction, and immune-supportive endothelial function in early-stage melanomas, and a marker of a permissive microenvironment associated with metastasis.

Pannexin 1 (PANX1) is a channel-forming glycoprotein that has been implicated in regulating melanoma cell properties such as growth, migration, and invasion. Here we report that the CRISPR-Cas9 mediated ablation of PANX1 or channel inhibition with probenecid shifted A375-P cell cycle distribution towards G2/M, while channel inhibition with spironolactone stalled cell cycle progression at the G1/S checkpoint regardless of PANX1 expression. Bulk RNA sequencing revealed cell cycle related gene expression was downregulated with PANX1 targeting strategies and this was exacerbated when PANX1 deficient cells were treated with spironolactone. When grown as spheroids, we found the deletion and inhibition of PANX1 disrupted spheroid compaction, with spheroids displaying poorly defined borders and reduced circularity. The deletion of PANX1 increased spheroid fragmentation, and this phenotype was intensified when spheroids devoid of PANX1 were treated with spironolactone, highlighting a potential synthetic lethal effect. Using liquid chromatography mass spectrometry, we sought to determine whether PANX1 had binding partners that may act to stabilize spheroid integrity and found that PANX1 co-immunoprecipitated various cell adhesion molecules such as {beta}-actin and F-actin-capping protein subunit -1, suggesting PANX1 and its interacting partners may stabilize cell-cell contacts. When control and PANX1 ablated cells were grown in chick chorioallantoic membrane xenografts to assess their tumour growth characteristics, we discovered that the deletion of PANX1 reduced tumour surface area and viability. Our findings indicate that PANX1 regulates cell cycle progression and the structural architecture of A375-P melanoma tumours, highlighting the therapeutic utility of targeting PANX1 in melanoma.

Allergic conjunctivitis is an inflammation of the conjunctiva caused by allergen; it is common disorder affecting up to 40% of the population. In this work, we study seasonal allergic conjunctivitis (SAC), also called "hay fever eyes", which is caused by exposure to airborne pollens. We develop a mathematical model quantifying the ocular immune system response to the allergens. First, we present a simplified qualitative description of the immunopathogenesis of SAC. Then, we express each chosen immunopathological mechanism mathematically to construct a system of thirty-one ordinary differential equations. We compare summary statistics of the predicted observable immune signals to experimental measurements and find our model captures key qualitative features of SAC progression. We then compare our predicted time series of histamine concentration to symptom scores and find a strong correlation suggesting the model predicts relevant clinically trends. Next, we calibrate the model through multi-step process. We find the most influential parameters are the production and depletion rates of IL-4, and the production rates of IL-5 and IL-8. These cytokines are targeted in treatments for asthma, atopic dermatitis, and severe eosinophilic associated disorder and suggest potential therapeutic targets for SAC. Our calibrated model mimics most of the summary statistics of the experimentally observable immune signals with discrepancies for IL-5 and IL-13 indicating that additional immunopathological mechanisms could be important.

Mucosal melanoma is a rare, lethal melanoma subtype with distinct genetics and limited benefit from immunotherapy. To define features associated with mucosal melanoma clinical outcomes, we assembled a large, multimodally profiled cohort spanning primary and metastatic disease. Compared with cutaneous melanoma, primary mucosal melanoma showed greater genomic heterogeneity, ploidy and aneuploidy, and a more dedifferentiated, proliferative transcriptional state. Analysis of genomic sequencing of 339 patients with mucosal melanoma identified four mutually exclusive genomic subtypes: CDK4/MDM2/CCND1, SF3B1-mutated, TP53/ATRX, and mucosal melanoma Triple WT, associated with distinct anatomic sites but similar outcomes. In the tumor microenvironment, we observed reduced T cell infiltration and increased CD163+ tumor-associated macrophages in mucosal melanoma relative to cutaneous melanoma. In matched longitudinal samples, CD163+ tumor-associated macrophages increased with disease progression and immunotherapy resistance. CD163+ tumor-associated macrophages engaged non-regulatory T cells through GAL9-TIM-3 interactions, nominating TIM-3 blockade as a therapeutic strategy for mucosal melanoma. These findings define the distinct aggressive biology of mucosal melanoma and highlight potential therapeutic targets and mechanisms of immune resistance.

Sebum lipids are one of the key ecological determinants of skin microbiome composition, where sebaceous sites are enriched with sebum utilising microbes such as Cutibacterium acnes. While sebaceous gland (SG) activation and sebogenesis are classically viewed as host-regulated processes, the association of C. acnes expansion with sebum production in the skin suggests a possible bidirectional host-microbe regulation. Using bacterial supernatants, we combined image-based lipid quantification, GC-FID metabolite profiling, lipid secretion quantification, and transcriptomic analysis to determine the metabolic drivers of the interaction between C. acnes and sebocytes. We found that C. acnes secretome significantly increased lipid droplet accumulation in sebocytes and propionate as the primary driver of this lipogenic response. Mechanistically, propionate reprogrammed the central carbon metabolism, redirecting carbon flux toward energy production and generation of precursors for lipid biosynthesis. Propionate also promoted lipid assembly pathways and modulated the composition of the secreted lipids from the treated sebocytes. We further show that propionate promotes expression of late sebocyte differentiation markers associated with holocrine secretion. Together, these findings redefine the relationship between microbiome and sebaceous glands, and identify C. canes as an active regulator promoting both sebogenesis and holocrine secretion for the release of lipids in the pilosebaceous unit.

Background: Cardiovascular disease is an important competing cause of death in men with metastatic prostate cancer, and ambient air pollution may increase cardiovascular vulnerability. We evaluated associations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) with all-cause, cardiovascular, and prostate cancer-specific mortality, including joint associations with androgen deprivation therapy (ADT). Methods: We analyzed 33,384 men from 11 US state registries diagnosed with metastatic prostate cancer during 2000-2015 and followed through 2018. Residential PM2.5 and NO2 concentrations at diagnosis were assigned using 1-km exposure models. Multivariable Cox models estimated all-cause mortality, and inverse-probability-weighted Cox models assessed cause-specific mortality. Results: Each interquartile-range increase in PM2.5 was associated with higher cardiovascular mortality (HR 1.04, 95% CI 1.02-1.07; p-trend=0.008). Cardiovascular mortality was also higher in the fourth and fifth PM2.5 quintiles versus the first (HR 1.18 and 1.21, respectively). Higher NO2 was associated with prostate cancer-specific mortality in the highest quintile (HR 1.07, 95% CI 1.01-1.13). In joint analyses, ADT-treated men with high versus low PM2.5 exposure had higher cardiovascular mortality (HR 1.19, 95% CI 1.05-1.34), without clear evidence of effect modification (p-interaction=0.051). Conclusions: In men with metastatic prostate cancer, higher PM2.5 exposure was associated with cardiovascular mortality, particularly among ADT-treated patients, supporting further study of environmental exposures and systemic therapy in cardio-oncology.

Purpose: Age is the leading factor for age-related macular degeneration (AMD), in which retinal pigmented epithelium (RPE) atrophy is a hallmark. The nuclear factor-erythroid 2-related factor 2 (Nrf2), a major anti-stress transcription factor, decreases in AMD, suggesting bioenergetic stress interacts with age during AMD pathogenesis. We profiled visual function and gene expression of the retina and RPE-choroid with Nrf2 deletion and aging. Methods: We tested 3mo and 14mo Nrf2 null (Nrf2 KO) and Nrf2 WT mice for optokinetic tracking (OKT) and dark-adapted electroretinography (ERG) responses. Eyes were harvested for retina outer nuclear layer (ONL) thickness analysis and retina and RPE-choroid cup RNA isolation for RNAseq profiling. Results: Visual acuity was reduced with aging with lower values in the Nrf2 KO vs Nrf2 WT comparison at 14mo. We observed aged-related reduction of a-, b-, and c-wave ERG amplitudes in both WT and KO mice. Age-related c-wave decline was exacerbated by Nrf2 loss. By RNAseq, two-way ANOVA of RPE-choroid samples revealed differentially expressed genes (DEGs) with age and genotype main effects, as well as DEGs with age and genotype interaction effects. Age DEGs were over-represented in pathways related to inflammation and phagocytosis. Genotype DEGs were associated with alterations in antioxidant and inflammatory processes. Retina RNAseq showed age and genotype DEGs. Conclusions: Ablation of Nrf2 exacerbates age-related declines suggesting that decrease in Nrf2 with aging has functional consequences for inflammation/resiliency. We provide retina and RPE-choroid bulk-RNAseq datasets from the same cohort of mice that can be interrogated to better understand degeneration of retina/RPE-choroid.

Salivary gland adenoid cystic carcinoma (SACC) is a rare, poorly understood malignancy. Here, using spatial transcriptomics, we show that disturbances in epigenetic regulation including chromatin remodeling, epitranscriptomic control by m6A RNA methylation, and RNA splicing may contribute to SACC. We demonstrated that machineries responsible for these processes-SWI/SNF chromatin remodeling complex (CRC), NineTeen Complex (NTC), and m6A RNA methylation complex interact directly. Immunohistochemistry on 48 SACC tumor samples indicated altered abundance of METTL3, METTL14, WTAP (m6A RNA methylation) and PRP19, CDC5L, PLRG1 (NTC-splicing) proteins. Chromatin immunoprecipitation indicated direct regulation of genes encoding subunits of SWI/SNF, NTC and RNA methylation complexes, and some EMT (epithelial-to-mesenchymal) marker genes by BRM (BRAHMA). Transcriptomic re-analysis revealed broad alterations in transcript usage, and splicing events in SACC. Collectively, our findings provide the first evidence that coordinated disruption of chromatin remodeling, RNA methylation, and splicing contributes to SACC development and progression, highlighting new avenues for therapeutic exploration.

Skin development depends on coordinated biochemical and mechanical signaling to form a multilayered epidermal barrier. Our previous work demonstrated that the stratified tissue-specific desmosomal cadherin Desmoglein-1 (Dsg1) promotes epidermal differentiation in human in vitro models. Dsg1 first appears in the developing mouse epidermis around E14, coinciding with a developmental transition in stratification and the onset of terminal differentiation, raising the question of how Dsg1 contributes to epidermal morphogenesis in vivo. We generated a wild-type (WT) single-cell RNA sequencing (scRNA-seq) atlas of murine skin and integrated scRNA-seq data from Dsg1 knockout (Dsg1 KO) embryos spanning E14.5, E15.5, E16.5, and E18.5. Six keratinocyte subpopulations were annotated, including a Transitional subpopulation co-expressing basal and suprabasal markers, positioned between basal and differentiated states. Dsg1 KO epidermis exhibited reduced thickness at E14.5-E15.5, but recovered by E16.5-E18.5, suggesting compensatory adaptation. Differential gene expression analysis revealed enrichment of cell-cycle and actin-associated programs in Dsg1 KO during late development. EdU incorporation and PCNA staining confirmed increased proliferation in superficial layers accompanied by altered actin organization and changed cell morphology. Notably, actin and the Arp2/3 actin nucleation-promoting factor N-WASP exhibited marked changes in distribution during early and late development, respectively. Mechanistically, Dsg1 associates with Nck1, an adaptor linking N-WASP to Arp2/3-dependent actin polymerization. Silencing Nck1 or N-WASP reduced Dsg1-mediated stratification significantly, while a Nck1-binding-deficient Dsg1 mutant failed to rescue stratification in Dsg1-deficient keratinocytes in vitro. Together, these findings identify a Dsg1-Nck1-N-WASP axis linking desmosomal adhesion to cytoskeletal remodeling and support a model in which Dsg1 coordinates cell-cycle, cell morphology, and actin dynamics to drive epidermal morphogenesis.

Background: Five biologics target sequential nodes of the type 2 (T2) inflammatory axis in severe asthma and have each been anecdotally linked to eosinophilic or paradoxical inflammatory adverse events. Whether these reflect a class effect or drug-specific signatures is untested. Methods: We performed a case-noncase disproportionality analysis of FAERS, 2022-2024. Asthma-indication reports naming tezepelumab, dupilumab, mepolizumab, benralizumab, or omalizumab as primary suspect were compared against the pooled other four (active-comparator design) across 7 pre-specified eosinophilic, vasculitic (including EGPA), cutaneous, and ocular outcomes. A signal was robust if the reporting odds ratio (ROR) 95% CI lower bound exceeded 1 and a Bayesian criterion was also met. Results: Among 50,360 reports (dupilumab n=29,652; mepolizumab n=8,846; omalizumab n=5,484; benralizumab n=4,372; tezepelumab n=2,006), benralizumab showed robust signals for EGPA (ROR 5.06), vasculitis (ROR 4.60), and peripheral eosinophilia (ROR 1.80). Mepolizumab showed a robust vasculitis signal (ROR 1.85); its similarly sized EGPA association narrowly missed the robustness criterion despite significance after correction for multiple testing. Dupilumab showed no EGPA/vasculitis excess but a robust ocular-inflammation signal (ROR 7.81). Tezepelumab and omalizumab showed no robust signal in any domain. EGPA/vasculitis onset occurred earlier after dupilumab (median 20-44 days) than anti-IL-5-axis agents (median 195-550 days; p[&le;]0.012); mepolizumab's signal did not reproduce over the full 2015-2024 window (calendar-time confounding). Conclusion: FAERS active-comparator analysis reveals drug-specific, not class-uniform, adverse-event reporting patterns: anti-IL-5-axis agents disproportionately report EGPA/vasculitis, and dupilumab disproportionately reports ocular inflammation with markedly earlier onset. These hypothesis-generating signals cannot establish causality and require confirmation through case-level or comparative pharmacoepidemiological studies.