The skin barrier is broadly composed of two elements—a physical barrier mostly localised in the epidermis, and an immune barrier localised in both the dermis and epidermis. These two systems interact cooperatively to maintain skin homeostasis and overall human health. However, if dysregulated, several skin diseases may arise. Psoriasis is one of the most prevalent skin diseases associated with disrupted barrier function. It is characterised by the formation of psoriatic lesions, the aberrant differentiation and proliferation of keratinocytes, and excessive inflammation. In this review, we summarize recent discoveries in disease pathogenesis, including the contribution of keratinocytes, immune cells, genetic and environmental factors, and how they advance current and future treatments.

Introduction: A key element in the big data revolution is large-scale biobanking and the associated development of high-quality data collections and supporting informatics solutions. As such, in establishing the Australian Arthritis and Autoimmune Biobank Collaborative (A3BC), we sought to establish a low-cost, nation-scale data management system capable of managing a multisite biobank registry with complex longitudinal sample and data requirements. Materials and Methods: We assessed several international commercial and nonprofit software platforms using standardized system requirement criteria and follow-up interviews. Vendor compliance scoring was prioritized to meet our project-critical requirements. Consumer/end-user codesign was integral to refining our system requirements for optimized adoption. Customization of the selected software solution was performed to optimize field auto-population between participant timepoints and forms, using modules that are transferable and that do not impact core code. Institutional and independent testing was used to ensure data security. Results: We selected the widely used research web application Research Electronic Data Capture (REDCap), which is “free” (under nonprofit license agreement terms), highly configurable, and customizable to a variety of biobank and registry needs and can be developed/maintained by biobank users with modest IT skill, time, and cost. We created a secure, comprehensive participant-centric biobank-registry database that includes: (1) best practice data security measures (incl. multisite access login using institutional user credentials), (2) permission-to-contact and dynamic itemized electronic consent, (3) a complete chain of custody from consent to longitudinal biospecimen data collection to publication, (4) complex longitudinal patient-reported surveys, (5) integration of record-level extracted/linked participant data, (6) significant form auto-population for streamlined data capture, and (7) native dashboards for operational visualizations. Conclusion: We recommend the versatile, reusable, and sustainable informatics model we have developed in REDCap for prospective chronic disease biobanks or registry biobanks (of local to national complexity) supporting holistic research into disease prediction, precision medicine, and prevention strategies.

Endothelial Protein C Receptor (EPCR) is a key regulator of the activated protein C anti-coagulation pathway due to its role in the binding and activation of this protein. EPCR also binds to other ligands such as Factor VII and X, γδ T-cells, plasmodium falciparum erythrocyte membrane protein 1, and Secretory group V Phospholipases A2, facilitating ligand-specific functions. The functions of EPCR can also be regulated by soluble (s)EPCR that competes for the binding sites of membrane-bound (m)EPCR. sEPCR is created when mEPCR is shed from the cell surface. The propensity of shedding alters depending on the genetic haplotype of the EPCR gene that an individual may possess. EPCR plays an active role in normal homeostasis, anti-coagulation pathways, inflammation, and cell stemness. Due to these properties, EPCR is considered a potential effector/mediator of inflammatory diseases. Rheumatic diseases such as rheumatoid arthritis and systemic lupus erythematosus are autoimmune/inflammatory conditions that are associated with elevated EPCR levels and disease activity, potentially driven by EPCR. This review highlights the functions of EPCR and its contribution to rheumatic diseases.

Objectives: To investigate whether circulating endothelial protein C receptor (EPCR) is associated with disease activity and inflammatory markers in rheumatoid arthritis. Methods: Thirty-eight RA patients and 21 healthy controls (HC) were recruited via the A3BC biobank. Peripheral blood mononuclear cells and plasma were isolated from the blood of these participants. Plasma soluble (s)EPCR, IL-6, IL-17 and sCD14 were measured by enzyme-linked immunosorbent assay, cell membrane-associated (m)EPCR by flow cytometry; EPCR gene H3 single nucleotide polymorphism (SNP), which contributes to high plasma sEPCR levels, by PCR and DNA sequencing. Data were analysed using FlowJo10 and GraphPad Prism 10. Results: RA patients had higher levels of mEPCR on T cells and plasma sEPCR compared with HC. No difference in the EPCR gene H3 SNP G genotype frequency was found between RA and HC. This SNP was significantly correlated with higher sEPCR levels in HC but not in RA patients. In RA, plasma sEPCR levels were positively correlated with IL-6, IL-17, sCD14, anti-CCP and rheumatoid factor. In contrast, mEPCR levels on T cells and natural killer cells (NK) were inversely associated with disease activity measures including 28/66 swollen joint count, 28/68 tender joint count and/or DAS28-CRP/ESR scores, and positively correlated with EPCR gene H3 SNP, which was also correlated with lower disease activity measures in RA. Conclusion: Our findings suggest that EPCR may play an important role in RA, with plasma sEPCR being potentially associated with inflammatory markers and mEPCR and the EPCR gene H3 SNP possibly related to disease activity measures.

Objectives: This study compared the frequencies of circulating CD4+ T helper (Th) cell subsets in rheumatoid arthritis (RA) patients and healthy controls (HCs) and investigated their relationship with RA disease activity. Methods: Peripheral blood samples and demographic/clinical data were collected from 75 RA patients and 28 HCs from the A3BC Biobank. Flow cytometry was utilized to identify cell subsets. Data were analyzed using FlowJo and GraphPad Prism. Results: RA patients displayed altered Th cell subset frequencies compared with HCs, including a higher overall proportion of Th cells (p = 0.02) but lower proportions of memory Th (p = 0.03), Th1 (p < 0.0001), and Th17.1 (p = 0.004) cells. In DMARD-naïve RA patients (n = 16), lower proportions of Th1 (p = 0.0005), Th9 (p = 0.04), and Th17.1 (p = 0.003) cells, alongside a higher Th17 cell proportion (p = 0.017), were observed compared with those in HCs. Further analysis of matched treatment-naïve, new-onset RA patients and HCs confirmed these findings. Within the RA cohort, lower proportions of Th1 (p = 0.002) and Th17.1 (p = 0.025) cells and a higher proportion of Th2 cells (p = 0.015) were correlated with increased disease activity. Inverse correlations were also found between the proportions of Th1 (p = 0.002), Th9 (p = 0.024), and Th17.1 (p = 0.00017) cells and CRP levels in RA patients. Conclusions: This study demonstrates an imbalance in circulating Th cell subset frequencies in RA patients compared with those in HCs, with notably lower Th1 and Th17.1 cell proportions in RA patients. Decreased frequencies of these cell subsets were linked to increased disease activity, indicating that restoring the balance of Th cell subsets could be a potential therapeutic strategy for RA.