Moesin and stress-induced phosphoprotein-1 are possible sero-diagnostic markers of psoriasis

Functional role of Annexin A1 and S100A11 in psoriasis pathogenesis: Insights from IMQ-induced models and keratinocyte modulation

Psoriasis (Pso) is a chronic inflammatory skin disease involving immune dysregulation and epidermal hyperplasia. Annexin A1 (ANXA1), a glucocorticoid-regulated protein, and S100A11 are implicated in keratinocyte function, but their roles in Pso remain unclear. This study translationally elucidates the functional role of ANXA1 and S100A11 in Pso by integrating analyses in human and murine skin biopsies and in vitro assays using human keratinocytes. The expression patterns of the ANXA1 and S100A11 in Pso were investigated using an imiquimod (IMQ)- induced murine model and human skin biopsies. Furthermore, the in vitro effect of the ANXA1-derived peptide Ac2-26 (5, 25, and 50 ng/mL) on IL-17-stimulated human keratinocytes (HaCaT cell line) was evaluated. IMQ-treated mice exhibited hallmark psoriatic features, including epidermal thickening, mast cell degranulation, and elevated IL-23 levels. Immunohistochemical analyses revealed significant upregulation of ANXA1 and S100A11 in psoriatic skin, with coexpression observed in keratinocytes, particularly in superficial epidermal layers. Transcriptomic analysis corroborated these findings, showing elevated ANXA1 and S100A11 expression in psoriatic lesions compared to controls. In HaCaT cells, IL-17 stimulation reduced ANXA1 and S100A11 levels. Treatment with Ac2-26 at the highest concentrations (25 and 50 ng/mL) significantly reduced viability/metabolism of IL-17-stimulated keratinocytes, while the lowest concentration of Ac2-26 (5 ng/mL) effectively increased ROS production. In conclusion, ANXA1 and S100A11 are key players in Pso, with their expression and coexpression closely linked to disease pathogenesis. Further studies are warranted to explore the clinical implications of targeting the ANXA1/S100A11 axis in inflammatory skin diseases.

Proteomic biomarkers in psoriatic arthritis

Psoriasis (PsO) is a chronic inflammatory skin disease that affects 2-3% of the adult population worldwide. Psoriatic arthritis (PsA) is a chronic inflammatory arthropathy that occurs in 20-30% of PsO patients. PsA is characterized by a heterogeneous clinical phenotype that makes diagnosis and treatment challenging. Currently, diagnosis is predominantly based on clinical findings, highlighting the need for reliable biomarkers to improve diagnostic precision, refine prognostic evaluations, and guide personalized therapeutic strategies. Recent advances in proteomic methodologies have provided novel insights into the pathophysiology and diagnosis of PsA. This review synthesizes the current evidence on protein biomarkers associated with PsA, focusing on non-targeted chromatographic proteomic approaches. These methodologies can enable comprehensive analysis of diverse biological specimens, facilitating the identification of candidate proteins that could be incorporated into targeted enzymatic and immunological panels for routine clinical practice in the future. Our review identified 72 isolated proteins and one protein combination with potential diagnostic utility for PsA, with particular emphasis on biomarkers such as NAD-dependent sirtuin-2 deacetylase (SIRT2), stress-induced phosphoprotein 1 (STIP1), and thymosin β4 (TMSB4X). Despite the growing interest in proteomic approaches for PsA, additional investigations with larger, well-stratified patient cohorts are necessary to validate these findings, establish robust diagnostic biomarkers, and facilitate their clinical implementation.

Transcriptomic profiling of TLR-7-mediated immune-challenge in zebrafish embryos in the presence and absence of glucocorticoid-induced immunosuppression

Although numerous studies imply a correlation between chemical contamination and an impaired immunocompetence of wildlife populations, the assessment of immunomodulatory modes of action is currently not covered in the regulatory requirements for the approval of new substances. This is not least due to the complexity of the immune system and a lack of standardised methods and validated biomarkers. To tackle this issue, in this study, the transcriptomic profiles of zebrafish embryos were analysed in response to the immunosuppressive compound clobetasol propionate, a synthetic glucocorticoid, and/or the immunostimulatory compound imiquimod (IMQ), a TLR-7 agonist. Using IMQ, known for its potential to induce psoriasis-like effects in mice and human, this study additionally aimed at evaluating the usability of the zebrafish embryo model as an alternative and 3R conform system for the IMQ-induced psoriasis mouse model. Our study substantiates the suitability of previously proposed genes as possible biomarkers for immunotoxicity, such as socs3, nfkbia, anxa1c, fkbp5 and irg1l. Likewise, however, our findings indicate that these genes may be less suitable to distinguish a suppressive from stimulating fashion of action. In contrast, based on a differential regulation in opposite direction in response to both compounds, krt17, rtn4a, and1, smhyc1 and gmpr were identified as potential novel biomarkers with said power to differentiate. Observed IMQ-induced alterations in the expression of genes previously associated with the pathogenesis of psoriasis such as krt17, nfkbia, parp1, pparg, nfil3-6, per2, stat4, klf2, rtn4a, anxa1c and nr1d2 indicate the inducibility of psoriatic effects in the zebrafish embryo. Our work contributes to the establishment of an approach for a 3R-compliant investigation of immunotoxic mechanisms of action in aquatic vertebrates. The validated and newly identified biomarker candidates of specific immunotoxic effects can be used in future studies in the context of environmental hazard assessment of substances or also for human-relevant immunotoxicological questions.

Biomarkers and biologics related with psoriasis and psoriatic arthritis

Over the past half century, psoriasis is considered as an immune-mediated inflammatory skin disease with the combined hallmarks of autoimmunity and autoinflammation, according to growing volumes of clinical and experimental findings. There is currently no cure for psoriasis, current treatment strategies focus on symptom control, disease minimization, and patient's quality of life enhancement. To meet these challenges, it keeps imperative to discover potential biomarkers, so that not only can they be used for the prediction and monitoring of psoriasis disease in clinic, but also can provide novel therapeutic targets or treatment strategies for psoriasis sufferers. This review systematically demonstrates the research progress of psoriasis-related biomarkers and elaborates their related mechanisms in the pathological development of psoriasis and psoriatic arthritis. In addition, we summarize the development of biologic therapies for psoriasis and psoriatic arthritis in order to drive the broader discussion of psoriasis as an autoimmune-mediated inflammatory skin disease.

Biomarkers in psoriatic arthritis: A meta-analysis and systematic review

Introduction

Psoriatic arthritis (PsA) is a chronic inflammatory disease that frequently develops in patients with psoriasis (PsO) but can also occur spontaneously. As a result, PsA diagnosis and treatment is commonly delayed, or even missed outright due to the manifold of clinical presentations that patients often experience. This inevitably results in progressive articular damage to axial and peripheral joints and entheses. As such, patients with PsA frequently experience reduced expectancy and quality of life due to disability. More recently, research has aimed to improve PsA diagnosis and prognosis by identifying novel disease biomarkers.

Methods

Here, we conducted a systematic review of the published literature on candidate biomarkers for PsA diagnosis and prognosis in MEDLINE(Pubmed), EMBase and the Cochrane library with the goal to identify clinically applicable PsA biomarkers. Meta-analyses were performed when a diagnostic bone and cartilage turnover biomarker was reported in 2 or moredifferent cohorts of PsA and control.

Results

We identified 1444 publications and 124 studies met eligibility criteria. We highlighted bone and cartilage turnover biomarkers, genetic markers, and autoantibodies used for diagnostic purposes of PsA, as well as acute phase reactant markers and bone and cartilage turnover biomarkers for activity or prognostic severity purposes. Serum cartilage oligometrix metalloproteinase levels were significantly increased in the PsA sera compared to Healthy Control (HC) with a standardized mean difference (SMD) of 2.305 (95%CI 0.795-3.816, p=0.003) and compared to osteoarthritis (OA) with a SMD of 0.783 (95%CI 0.015-1.551, p=0.046). The pooled serum MMP-3 levels were significantly higher in PsA patients than in PsO patients with a SMD of 0.419 (95%CI 0.119-0.719; p=0.006), but no significant difference was highlighted when PsA were compared to HC. While we did not identify any new genetic biomarkers that would be useful in the diagnosis of PsA, recent data with autoantibodies appear to be promising in diagnosis, but no replication studies have been published.

Conclusion

In summary, no specific diagnostic biomarkers for PsA were identified and further studies are needed to assess the performance of potential biomarkers that can distinguish PsA from OA and other chronic inflammatory diseases.

Functional Analysis of Autoantibody Signatures in Rheumatoid Arthritis

For the identification of antigenic protein biomarkers for rheumatoid arthritis (RA), we conducted IgG profiling on high density protein microarrays. Plasma IgG of 96 human samples (healthy controls, osteoarthritis, seropositive and seronegative RA, n = 24 each) and time-series plasma of a pristane-induced arthritis (PIA) rat model (n = 24 total) were probed on AIT’s 16k protein microarray. To investigate the analogy of underlying disease pathways, differential reactivity analysis was conducted. A total of n = 602 differentially reactive antigens (DIRAGs) at a significance cutoff of p < 0.05 were identified between seropositive and seronegative RA for the human samples. Correlation with the clinical disease activity index revealed an inverse correlation of antibodies against self-proteins found in pathways relevant for antigen presentation and immune regulation. The PIA model showed n = 1291 significant DIRAGs within acute disease. Significant DIRAGs for (I) seropositive, (II) seronegative and (III) PIA were subjected to the Reactome pathway browser which also revealed pathways relevant for antigen presentation and immune regulation; of these, seven overlapping pathways had high significance. We therefore conclude that the PIA model reflects the biological similarities of the disease pathogenesis. Our data show that protein array analysis can elucidate biological differences and pathways relevant in disease as well be a useful additional layer of omics information.

A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases

Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer. The autoantigen-ome is significantly associated with various processes in viral infections, such as translation, protein processing, and vesicle transport. Interestingly, the coding genes of autoAgs predominantly contain multiple exons with many possible alternative splicing variants, short transcripts, and short UTR lengths. These observations and the finding that numerous autoAgs involved in RNA-splicing showed altered expression in viral infections suggest that viruses exploit alternative splicing to reprogram host cell machinery to ensure viral replication and survival. While each cell type gives rise to a unique pool of autoAgs, 39 common autoAgs associated with cell stress and apoptosis were identified from all six cell types, with several being known markers of systemic autoimmune diseases. In particular, the common autoAg UBA1 that catalyzes the first step in ubiquitination is encoded by an X-chromosome escape gene. Given its essential function in apoptotic cell clearance and that X-inactivation escape tends to increase with aging, UBA1 dysfunction can therefore predispose aging women to autoimmune disorders. In summary, we propose a model of how viral infections lead to extensive molecular alterations and host cell death, autoimmune responses facilitated by autoAg-DS complexes, and ultimately autoimmune diseases. Overall, this master autoantigen-ome provides a molecular guide for investigating the myriad of autoimmune sequalae to COVID-19 and clues to the rare but reported adverse effects of the currently available COVID vaccines.

Clinical, laboratory, and genetic markers for the development or presence of psoriatic arthritis in psoriasis patients: a systematic review

Twenty to thirty percent of psoriasis (Pso) patients will develop psoriatic arthritis (PsA). Detection of Pso patients that are (at risk for) developing PsA is essential to prevent structural damage. We conducted a systematic search of five bibliographic databases, up to May 2020. We searched for studies assessing markers (clinical, laboratory, genetic) associated with the development or presence of PsA in Pso patients. Study selection and quality assessment of the included studies was performed, followed by a qualitative best evidence synthesis to determine the level of evidence for a marker and its association with concomitant/developing PsA in Pso. Overall, 259 possible markers were identified in 119 studies that met the inclusion criteria. Laboratory markers related to inflammation and bone metabolism reached a strong level of evidence for the association (not prediction) of PsA in Pso. Only CXCL10 showed strong evidence for a positive predictive value for PsA in Pso. The importance of timely detecting PsA in a Pso population, and finding more (bio)markers contributing to early detection, remains high.

Psoriatic arthritis: A systematic review of non-HLA genetic studies and important signaling pathways

Psoriatic arthritis (PsA) is a common, chronic inflammatory disease with complex pathogenesis. In recent years, a number of susceptibility non-human leukocyte antigen (HLA) genes of PsA have been revealed, which also act as important factors in the pathogenesis of PsA as well as HLA genes. By searching the databases National Center for Biotechnology Information, Google and PubMed, 37 articles are included and 50 susceptibility non-HLA genes for PsA are presented, such as IL23A, TNIP1, TYK2, STAT4, IL12B, RUNX3 and TRAF3IP2. In these non-HLA genes, some are common genes shared with other diseases, whereas most of these susceptibility genes are related to the pathogenesis of PsA by activation or inhibition of the signaling pathways. Several signaling pathways possibly implicated in the pathogenesis of PsA are introduced in this paper, including the 2 mainly signaling pathways, IL23/Th17 signaling pathway and NF-κB signaling pathway, and the other involved signaling pathways, such as JAK-STAT signaling pathway and MAPK signaling pathway.

Not your average joint: Towards precision medicine in psoriatic arthritis

Precision medicine, propelled by advances in multi-omics methods and analytics, aims to revolutionize patient care by using clinically-actionable molecular markers to guide diagnostic and therapeutic decisions. We describe the applications of precision medicine in risk stratification, drug selection, and treatment response prediction in psoriatic arthritis, for which targeted, personalized approaches are steadily emerging.

Autoimmunity to heterogeneous nuclear ribonucleoprotein A1 in psoriatic patients and correlation with disease severity

BACKGROUND AND OBJECTIVES

The heterogeneous nuclear ribonucleoprotein A1 (hnRNP-A1) has been postulated as an autoantigen of psoriasis, but correlation between serum levels of anti-hnRNP-A1 autoantibodies and the severity of disease has not been investigated. We aimed to assess the frequency of anti-hnRNP-A1 autoimmunity in patients with moderate to severe psoriasis and in healthy controls, and to determine the correlation between serum levels of anti-hnRNP-A1 autoantibodies and disease severity.

PATIENTS AND METHODS

We performed a case-control study on 40 adult psoriatic patients with a PASI (Psoriasis Area and Severity Index) of > 10 and 40 healthy controls matched for age and gender. Immunoblotting was used to assess serum levels of anti-hnRNP-A1 autoantibodies.

RESULTS

Anti-hnRNP-A1 autoantibodies were found in 9/40 psoriatic patients (22.5 %) but in no healthy controls. The PASI was significantly higher in anti-hnRNP-A1-positive patients than in anti-hnRNP-A1-negative patients (40.33 ± 3.24 vs 26.06 ± 9.28, p = 0.0001). In patients positive for anti-hnRNP-A1, serum levels of such autoanti-bodies were correlated with the PASI (R = 0.89, p = 0.001).

CONCLUSIONS

Consistent with reports in the literature, our results suggest a role of anti-hnRNP-A1 autoimmunity in psoriasis, although probably not as the primary cause or initial/fundamental event. Unlike previously published reports, our results also suggest that anti-hnRNP-A1 autoimmunity is particularly frequent among psoriatic patients with more severe disease. Further studies are necessary with a larger number of patients.

GLCCI1 and STIP1 variants are associated with asthma susceptibility and inhaled corticosteroid response in a Tunisian population

Objective: Pharmacogenetic studies have recognized specific genes that highly correlate with response to inhaled corticosteroids (ICS) treatment in asthma patients. Among the genes identified, we selected glucocorticoid-induced transcript 1 (GLCCI1) and stress-induced phosphoprotein 1 (STIP1) to evaluate the impact of these gene polymorphisms on ICS treatment response in Tunisian asthmatics.Methods: We analyzed four single nucleotide polymorphisms (SNPs): two in GLCCI1 (rs37972 and rs37973), and two in STIP1 (rs2236647 and rs2236648), which are genes associated with susceptibility to asthma and response to ICS in a Tunisian cohort. The SNPs were genotyped using reverse transcriptase polymerase chain reaction (RT-PCR) techniques.Results: This case-control study consisted of 230 adult asthmatic patients and 236 healthy subjects. Seventy-five asthmatics were selected and followed through 12 weeks of routine treatment. The T allele rs2236648 in STIP1 was associated with allergic asthma (OR = 0.38, 95%CI = 0.20-0.69, p = 0.001). The rs37972 and rs37973 of GLCCI1 were associated with a higher risk of asthma (p < 0.001). The T allele rs37972 and G allele rs37973 were correlated with a strong risk for developing severe asthma (p < 0.001). Asthma patients carrying the rs37973 GG genotype had less improvement in the forced expiratory volume in one second (FEV1) than those with the AA or AG genotypes after 12 weeks of treatment (p < 0.001). Also, the G allele of rs37973 was associated with worse response to ICS after 12 weeks of treatment (p < 0.001).Conclusion: The rs37972 and rs37973 polymorphisms can serve as potential asthma risk biomarkers in a Tunisian population.

LC-MS/MS analysis of the dog serum phosphoproteome reveals novel and conserved phosphorylation sites: Phosphoprotein patterns in babesiosis caused by Babesia canis, a case study

Phosphorylation is the most commonly studied protein post-translational modification (PTM) in biological systems due to its importance in controlling cell division, survival, growth, etc. Despite the thorough research in phosphoproteomics of cells and tissues there is little information on circulating phosphoproteins. We compared serum from 10 healthy dogs and 10 dogs affected by B. canis-caused babesiosis with no organ dysfunctions by employing gel-free LC-MS/MS analysis of individual samples and tandem mass tag (TMT) label-based quantitative analyses of pools, both supported by phosphopeptide enrichment. Results showed a moderate number of phosphorylated proteins (50-55), with 89 phosphorylation sites not previously published for dogs although a number of them matched phosphorylation sites found in mammalian orthologs. Three phosphopeptides showed significant variation in babesiosis-affected dog sera compared to controls: Serum amyloid A (SAA) phosphorylated at serine 101 (up-regulation), kininogen 1 phosphorylated at threonine 326, and fibrinogen α phosphorylated at both threonine 20 and serine 22 (down-regulation). 71.9% of the detected phosphorylated sites were phosphoserine, 16.8% phosphothreonine and only 11.2% phosphotyrosine residues. TMT label-based quantitative analysis showed α-2-HS-glycoprotein / Fetuin A to be the most abundant phosphoprotein (50-70% of all phosphoproteins) followed by kininogen-1 (10-20%). The alterations of phosphorylated proteins observed in canine babesiosis caused by Babesia canis suggest new insights into the largely neglected role of extracellular protein phosphorylation in health and disease, encouraging urgent further research on this area. To the best of our knowledge the present study represents the first attempt to characterize canine serum phosphoproteome.

Proteomic analysis of physiological versus pathological cardiac remodeling in animal models expressing mutations in myosin essential light chains

In this study we aimed to provide an in-depth proteomic analysis of differentially expressed proteins in the hearts of transgenic mouse models of pathological and physiological cardiac hypertrophy using tandem mass tag labeling and liquid chromatography tandem mass spectrometry. The Δ43 mouse model, expressing the 43-amino-acid N-terminally truncated myosin essential light chain (ELC) served as a tool to study the mechanisms of physiological cardiac remodeling, while the pathological hypertrophy was investigated in A57G (Alanine 57 → Glycine) ELC mice. The results showed that 30 proteins were differentially expressed in Δ43 versus A57G hearts as determined by multiple pair comparisons of the mutant versus wild-type (WT) samples with P < 0.05. The A57G hearts showed differential expression of nine mitochondrial proteins involved in metabolic processes compared to four proteins for ∆43 hearts when both mutants were compared to WT hearts. Comparisons between ∆43 and A57G hearts showed an upregulation of three metabolically important mitochondrial proteins but downregulation of nine proteins in ∆43 hearts. The physiological model of cardiac hypertrophy (∆43) showed no changes in the levels of Ca(2+)-binding proteins relative to WT, while the pathologic model (A57G) showed the upregulation of three Ca(2+)-binding proteins, including sarcalumenin. Unique differences in chaperone and fatty acid metabolism proteins were also observed in Δ43 versus A57G hearts. The proteomics data support the results from functional studies performed previously on both animal models of cardiac hypertrophy and suggest that the A57G- and not ∆43- mediated alterations in fatty acid metabolism and Ca(2+) homeostasis may contribute to pathological cardiac remodeling in A57G hearts.