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Objective: Inhibitors of the interleukin 13 (IL-13) pathway, such as dupilumab, are licensed for atopic dermatitis and asthma. Adverse events resembling psoriatic disease after dupilumab initiation have been reported, but evidence is limited to case reports with uncertain causality. We aimed to investigate whether genetically mimicked IL-13 inhibition (IL-13i) is associated with risk of psoriatic arthritis (PsA) and psoriasis., Methods: We instrumented IL-13i using a protein-coding variant in the IL13 gene, rs20541, that is associated with circulating eosinophil count (biomarker of IL-13i) at genome-wide significance in a study of 563,946 individuals. Outcome genetic data were taken from studies of PsA, psoriasis, and related spondyloarthritis traits in up to 10,588 cases and 209,287 controls. Colocalization analysis was performed to examine genetic confounding. We additionally used circulating IgE as a biomarker to test whether associations were replicated, both in the test and in an independent genetic dataset. We also replicated analyses using individual-level data from the UK Biobank., Results: Genetically proxied IL-13i was associated with increased risk of PsA (odds ratio [OR] 37.39; 95% confidence interval [95% CI] 11.52-121.34; P = 1.64 × 10 -9 ) and psoriasis (OR 20.08; 95% CI 4.38-92.01; P = 1.12 × 10 -4 ). No consistent associations were found for Crohn disease, ulcerative colitis, ankylosing spondylitis, or iritis. Colocalization showed no strong evidence of genetic confounding for psoriatic disease. Results were replicated using circulating IgE for the exposure, using independent outcome data and using individual-level data., Conclusion: We provide supportive genetic evidence that IL-13i is linked to increased risk of PsA and psoriasis. Physicians prescribing IL-13 inhibitors should be vigilant for these adverse events., (© 2024 The Author(s). Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Background: There is evidence that inflammatory arthritis in the form of ankylosing spondylitis (AS), psoriatic arthritis (PsA), and rheumatoid arthritis are both positively and negatively associated with certain female-specific cancers. However, the study results are very heterogeneous., Methods: Based on up to 375,814 European women, we performed an iterative two-sample Mendelian randomization to assess causal effects of the occurrence of the inflammatory arthritis on the risk of female-specific cancer in form of breast, endometrial, and ovarian cancer sites as well as their subtypes. Evidence was strengthened by using similar exposures for plausibility or by replication with a subsequent meta-analysis. P-values were Bonferroni adjusted., Results: Genetic liability to AS was associated with ovarian cancer (OR = 1.03; 95% CI: [1.01; 1.04]; [Formula: see text]=0.029) and liability to PsA with breast cancer (OR = 1.02; CI: [1.01; 1.04]; [Formula: see text]=0.002). Subgroup analyses revealed that the high-grade serous ovarian cancer (OR = 1.04; CI: [1.02; 1.06]; [Formula: see text]=0.015) and the ER- breast cancer (OR = 1.04; CI: [1.01; 1.07]; [Formula: see text]=0.118) appeared to drive the observed associations, respectively. No further associations were found between the remaining inflammatory arthritis phenotypes and female-specific cancers., Conclusions: This study suggests that AS is a risk factor for ovarian cancer, while PsA is linked to an increased breast cancer risk. These results are important for physicians caring women with inflammatory arthritis to advise their patients on cancer screening and preventive measures., (© 2024. The Author(s).)

Despite observational studies suggesting a link between psoriatic disease (including psoriasis and psoriatic arthritis) and migraine, it is unclear whether there is a shared genetic etiology or a causal relationship between the two conditions. We aimed to reveal the genetic overlap and causality using the Mendelian randomization (MR) framework. The genetic analysis utilized summary data from the most extensive European genome-wide association study (GWAS) of migraine. Well-powered psoriatic disease GWAS data were obtained from two independent cohort studies, which served as discovery and validation datasets. Global and regional genetic correlations between psoriatic disease and migraine were assessed, and pleiotropic regions identified by pairwise GWAS analysis were further annotated. We further applied a two-sample MR multivariate MR to investigate the potential causal relationship between them. The global genetic correlation test indicated weak correlations between psoriatic disease and migraine, while regional correlation analyses delineated one significant shared locus between psoriasis and migraine. Pathway enrichment analysis revealed that shared genes were involved biological processes to the major histocompatibility and antigen processing and presentation. In terms of causality estimates, genetically predicted psoriasis (P meta = 0.003) and psoriatic arthritis (P meta = 0.028) were associated with an increased risk of migraine. Multivariate MR analysis indicated that psoriasis was an independent risk factor for migraine (P < 0.05). No significant associations were found in the reverse direction. Our study supported the causal role of psoriasis on migraine, and the central role for immunomodulatory etiology. These findings have significant implications for the management of migraine and clinical practice in patients with psoriasis., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Previous research has demonstrated a robust association between osteoarthritis (OA) and psoriasis. Notably, a significant proportion of psoriasis patients exhibit symptoms of arthritis, particularly psoriatic arthritis. However, a definitive causal relationship between psoriasis, psoriatic arthritis and OA remains to be established. This study aimed to elucidate the causal relationship between psoriasis, psoriatic arthritis, and osteoarthritis using a 2-sample Mendelian randomization approach. The causal relationship between psoriasis, psoriatic arthritis and OA was rigorously investigated using a 2-sample Mendelian Randomization (MR) approach. Instrumental variables pertinent to psoriasis, psoriatic arthritis and 4 distinct types of OA (knee osteoarthritis (KOA), hand osteoarthritis (HOA), total knee replacement (TKR), and total hip replacement (THR)) were sourced from extensive, published genome-wide association studies (GWAS). To estimate the causal effects, methodologies such as inverse variance weighting (IVW), MR-Egger, and weighted median estimation (WM) were employed. Mendelian Randomization analysis suggested a potential causal effect of psoriasis on osteoarthritis (OA). For hand OA (HOA), the P value was .381 (OR = 0.28); for knee OA (KOA), the P value was .725 (OR = 1.46); for TKR, the P value was .488 (OR = 0.274); and for THR, the P value was .454 (OR = 0.216). Furthermore, we explored the causality of psoriatic arthritis on OA. For HOA, the P value was .478 (OR = 0.0095); for KOA, the P value was .835 (OR = 0.345); for THR, the P value was .807 (OR = 0.120); and for TKR, the P value was .860 (OR = 0.190). Our findings indicate that there is no evidence of a causal connection between psoriasis or psoriatic arthritis and OA, suggesting that while psoriasis may contribute to arthritis, it does not influence OA development., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Previous observational studies indicated a complex association between frailty and arthritis., Aims: To investigate the genetic causal relationship between the frailty index and the risk of common arthritis., Methods: We performed a large-scale Mendelian randomization (MR) analysis to assess frailty index associations with the risk of common arthritis in the UK Biobank (UKB), and the FinnGen Biobank. Summary genome-wide association statistics for frailty, as defined by the frailty index, and common arthritis including rheumatoid arthritis (RA), osteoarthritis (OA), psoriatic arthritis (PSA), and ankylosing spondylitis (AS). The inverse-variance weight (IVW) method served as the primary MR analysis. Heterogeneity testing and sensitivity analysis were also conducted., Results: Our results denoted a genetic association between the frailty index with an increased risk of OA, the odds ratio (OR) IVW in the UKB was 1.03 (95% confidence interval [CI]: 1.01-1.05; P = 0.007), and OR IVW was 1.55 (95% CI: 1.16-2.07; P = 0.003) in the FinnGen. For RA, the OR IVW from UKB and FinnGen were 1.03 (1.01-1.05, P = 0.006) and 4.57 (1.35-96.49; P = 0.025) respectively. For PSA, the frailty index was associated with PSA (OR IVW  = 4.22 (1.21-14.67), P = 0.023) in FinnGen, not in UKB (P > 0.05). However, no association was found between frailty index and AS (P > 0.05). These results remained consistent across sensitivity assessments., Conclusion: This study demonstrated a potential causal relationship that genetic predisposition to frailty index was associated with the risk of arthritis, especially RA, OA, and PSA, not but AS. Our findings enrich the existing body of knowledge on the subject matter., (© 2024. The Author(s).)

Background: Numerous observational studies have identified associations between both psoriasis (PsO) and psoriatic arthritis (PsA), and autoimmune diseases (AIDs); however, the causality of these associations remains undetermined., Methods: We conducted a bidirectional two-sample Mendelian Randomization study to identify causal associations and directions between both PsO and PsA and AIDs, such as systemic lupus erythematosus (SLE), Crohn's disease (CD), ulcerative colitis (UC), multiple sclerosis (MS), uveitis, bullous pemphigoid (BP), Hashimoto's thyroiditis (HT), rheumatoid arthritis (RA), vitiligo, and ankylosing spondylitis (AS). The causal inferences were drawn by integrating results from four regression models: Inverse Variance Weighting (IVW), MR-Egger, Weighted Median, and Maximum Likelihood. Furthermore, we performed sensitivity analyses to confirm the reliability of our findings., Results: The results showed that CD [IVW odds ratio (OR IVW ), 1.11; 95% confidence interval (CI), 1.06-1.17; P = 8.40E-06], vitiligo (OR IVW , 1.16; 95% CI, 1.05-1.28; P = 2.45E-03) were risk factors for PsO, while BP may reduce the incidence of PsO (OR IVW , 0.91; 95% CI, 0.87-0.96; P = 1.26E-04). CD (OR IVW , 1.07; 95% CI, 1.02-1.12; P = 0.01), HT (OR IVW , 1.23; 95% CI, 1.08-1.40; P = 1.43E-03), RA (OR IVW , 1.11; 95% CI, 1.02-1.21, P = 2.05E-02), AS (OR IVW , 2.18; 95% CI, 1.46-3.27; P = 1.55E-04), SLE (OR IVW , 1.04; 95% CI, 1.01-1.08; P = 1.07E-02) and vitiligo (OR IVW , 1.27; 95% CI, 1.14-1.42; P = 2.67E-05) were risk factors for PsA. Sensitivity analyses had validated the reliability of the results., Conclusions: Our study provides evidence for potential causal relationships between certain AIDs and both PsO and PsA. Specifically, CD and vitiligo may increase the risk of developing PsO, while CD, HT, SLE, RA, AS, and vitiligo may elevate the risk for PsA. Additionally, it is crucial to closely monitor the condition of PsO patients with specific AIDs, as they have a higher likelihood of developing PsA than those without AIDs. Moving forward, greater attention should be paid to PsA and further exploration of other PsO subtypes is warranted., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Duan, Wang, Chen, Chen, Wang, Wang and Chen.)

Background: Psoriasis (Ps) is a disorder attributed to the immune system that involves inflammation of the skin and joints. Psoriasis is a multifactorial disorder in which genetic factors represent about 70% of the disease risk. This study aims to establish the correlation between the ERAP2 gene's single nucleotide polymorphisms (SNPs) rs2910686 and rs2248374 with the susceptibility to Ps and/or psoriatic arthritis (PsA) among the Egyptian population., Methods and Results: Genotyping of ERAP2 gene SNPs (rs2910686 and rs2248374) in 120 psoriatic patients with and without arthritis and 100 controls was done using real-time PCR. The genotype frequency and distribution of the ERAP2 SNP (rs2910686 and rs2248374) were in Hardy-Weinberg equilibrium (HWE). For rs2910686, the TC and CC genotypes and C allele frequency were significant risk factors for PsA compared to the controls (OR = 5.708, OR = 10.165, and OR = 4.282, respectively). They also were significant risk factors for Ps compared to the controls (OR = 5.165, OR = 5.040, and OR = 3.258, respectively). For rs2248374, the AG genotype significantly increased the risk of PsA (OR = 2.605) and Ps (OR = 3.768) compared to controls. The AG genotype was significantly related to the risk of Ps (OR = 3.369) G allele with PsA (OR = 1.608) and Ps (OR = 1.965) compared to controls., Conclusion: In Egyptian individuals, the ERAP2 gene polymorphisms (rs2248374 and rs2910686) may contribute genetically to the pathophysiology of psoriasis and PsA., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)

Background: Prior observational studies have suggested a potential direct link between psoriasis (PSO) and interstitial lung disease (ILD). Consequently, we applied Mendelian randomization (MR) to further evaluate the bidirectional causal relationships between PSO and its different phenotypes [psoriatic arthritis (PSA)/psoriasis vulgaris (PSV)] and ILD., Methods: Data regarding PSO/PSA/PSV and ILD were sourced from publicly accessible genome-wide association studies (GWAS) databases, focusing on European populations. We used five algorithms- MR Egger, weighted median, inverse-variance weighted (IVW), simple mode, and weighted mode- to evaluate the causal relationships between PSO/PSA/PSV and ILD, with a primary emphasis on the IVW method., Results: The analysis indicated a potential association between PSA and an elevated risk of ILD [IVW odds ratio (OR): 1.035 (95% CI 1.008, 1.064; P = 0.012)], with no evidence of a direct relationship between total PSO and PSV with ILD. Conversely, no substantial evidence emerged from the reverse MR analysis to suggest that ILD significantly affects total PSO or the specific PSA/PSV phenotypes., Conclusion: Our findings provide genetic evidence supporting the notion that PSA may be a contributory risk factor for ILD. Further investigations are warranted to explore the underlying mechanisms of this potential causal relationship between PSA and ILD., (© 2024. The Author(s).)

Background: Previous epidemiological studies have identified a correlation between serum protein levels and Psoriatic Arthritis (PsA). However, the precise nature of this relationship remains uncertain. Therefore, our objective was to assess whether circulating levels of 2,923 plasma proteins are associated with the risk of PsA, utilizing the Mendelian randomization (MR) approach., Methods: Two-sample MR analysis was performed to assess the causal impact of proteins on PsA risk. Exposure data for plasma proteins were sourced from a genome-wide association study (GWAS) conducted within the UK Biobank Pharma Proteomics Project, which encompassed 2,923 unique plasma proteins. The outcome data for PsA were sourced from the FinnGen study, a large-scale genomics initiative, comprising 3,537 cases and 262,844 controls. Additionally, colocalization analysis, Phenome-wide MR analysis, and candidate drug prediction were employed to identify potential causal circulating proteins and novel drug targets., Results: We thoroughly assessed the association between 1,837 plasma proteins and PsA risk, identifying seven proteins associated with PsA risk. An inverse association of Interleukin-10 (IL-10) with PsA risk was observed [odds ratio (OR)=0.45, 95% confidence interval (CI), 0.28 to 0.70, P FDR =0.072]. Additionally, Apolipoprotein F (APOF) has a positive effect on PsA risk (OR=2.08, 95% CI, 1.51 to 2.86, P FDR =0.005). Subsequently, we found strong evidence indicating that IL-10 and APOF were colocalized with PsA associations (PP.H4 = 0.834 for IL-10 and PP.H4 = 0.900 for APOF). Phenome-wide association analysis suggested that these two proteins may have dual effects on other clinical traits ( P FDR <0.1)., Conclusion: This study identified 7 plasma proteins associated with PsA risk, particularly IL-10 and APOF, which offer new insights into its etiology. Further studies are needed to assess the utility and effectiveness of these candidate proteins., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zhao, Zhou, Wang, Zhang, Chen and Hong.)

Objective: This study is designed to explore the potential causal relationship between psoriasis and psoriatic arthritis (PsA) while investigating the genetic basis shared by these inflammatory diseases., Methods: Significant single nucleotide polymorphisms (SNPs) associated with UC, psoriasis, and PsA were selected as genetic instrumental variables using Genome-Wide Association Study (GWAS) datasets. Additionally, Mendelian randomization (MR) methods, including inverse-variance weighting (IVW), MR-Egger regression, and Weighted Median (WME), were utilized to evaluate the causal relationships between these diseases. Moreover, sensitivity analysis and heterogeneity testing were conducted to validate the stability of the results., Results: A total of 123 significant SNPs associated with psoriasis, PsA, and UC were identified as genetic instrumental variables based on GWAS datasets. The analysis revealed a 36% increased risk of UC with psoriasis (odds ratio [OR] = 1.350, 95% confidence interval [CI] = 1.065-1.729, P = 0.012) and a 32.9% increased risk of UC with PsA (OR = 1.329, 95% CI = 1.176-1.592, P < 0.001). Further analysis showed a 43.5% increased risk of psoriasis with UC (OR = 1.435, 95% CI = 1.274-1.831, P < 0.001) and a 45.8% increased risk of PsA with UC (OR = 1.458, 95% CI = 1.166-1.822, P = 0.0013). In addition, sensitivity analysis and heterogeneity testing demonstrated the high stability of these results. Particularly, neither MR-Egger regression analysis nor leave-one-out analysis revealed significant heterogeneity or pleiotropy bias, indicating the reliability of these causal estimates. Moreover, the use of the MR-PRESSO further confirmed the positive correlation between psoriasis and UC, and the corrected estimates remained consistent with IVW analysis results after excluding potential outlier SNPs, enhancing the credibility of the analysis., Conclusions: This study strengthens the understanding of the genetic and causal relationships among UC, psoriasis, and PsA through GWAS and MR methods, revealing the genetic basis they may share. These findings not only provide a novel perspective on the comorbidity mechanisms of these diseases but also offer a valuable reference for the development of future treatment strategies and intervention measures., (© 2024 The Author(s). Skin Research and Technology published by John Wiley & Sons Ltd.)

We aimed to identify an expression profile of lncRNAs potentially related to treatment response in Psoriatic arthritis (PsA) patients, to be used as potential genomic biomarkers predictors of drug treatment effectiveness. In addition, we evaluated a possible association between lncRNAs genetic variants and the response to therapy using the clinical parameter of Disease Activity Index. For the expression study, we collected 48 treated PsA patients, monitoring the treatment response for 12 months. We initially used PCR Array and, then, we validated the results with qRT-PCR. We also retrospectively genotyped 163 treated PsA patients. Firstly, we observed a significant difference in the expression level between Responder and non-Responder patients, of 4 lncRNAs in the group of PsA patients treated with TNFi and of 3 lncRNAs in the group of patients treated with IL17i. Then, we confirmed a significant decrease of MEG3 expression in non-Responder patients compared to Responders, also considering separately the single groups of patients treated with TNFi and IL17i. In addition, our results seem to highlight a potential dose-dependent effect of rs941576 (MEG3) variant allele on Disease Activity Index. Our study suggests a possible role of the lncRNA MEG3 in the treatment response to biological drugs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Psoriasis (PsO) is a chronic inflammatory skin condition, often accompanied by psoriatic arthritis (PsA) and linked to various comorbidities and increased mortality rates. This study aimed to explore the relationship between PsO and accelerated biological aging, specifically focusing on epigenetic DNA methylation clocks. Using a matched case-control design, 20 PsO cases were selected along with age, race, and sex-matched 20 controls without PsO from the Skin Disease Biorepository at Brown Dermatology, Inc, Providence, Rhode Island. Blood samples retrieved from both groups were analyzed for DNA methylation, and epigenetic ages were calculated using DNA methylation clocks, including Horvath, Hannum, Pheno, SkinBlood, and Grim ages. Generalized estimation equations were employed to test the differences in epigenetic and chronological ages between PsO cases and controls, as well as within various subgroups in comparison to their respective controls. There were no statistically significant differences in epigenetic ages between PsO cases and controls. However, notably, PsO cases with PsA demonstrated an accelerated PhenoAge, compared to their matched controls. This study represents a pioneering investigation into the potential link between PsO and epigenetic aging, shedding light on the possibility of accelerated epigenetic aging in PsA, possibly associated with heightened inflammatory burden. These findings emphasize the systemic impact of PsA on the aging process, prompting the need for deeper exploration into autoimmune pathways, inflammation, and epigenetic modifications underlying PsO pathogenesis and aging mechanisms. Larger-scale studies with diverse populations are imperative to discern PsO subgroups experiencing accelerated biological aging and decipher the intricate interplay between PsO, inflammation, and aging pathways., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Genetic biomarkers could potentially lower the risk of treatment failure in chronic inflammatory diseases (CID) like psoriasis, psoriatic arthritis (PsA), rheumatoid arthritis (RA), and inflammatory bowel disease (IBD). We performed a systematic review and meta-analysis assessing the association between single nucleotide polymorphisms (SNPs) and response to biologics. Odds ratio (OR) with 95% confidence interval (CI) meta-analyses were performed. In total, 185 studies examining 62,774 individuals were included. For the diseases combined, the minor allele of MYD88 (rs7744) was associated with good response to TNFi (OR: 1.24 [1.02-1.51], 6 studies, 3158 patients with psoriasis or RA) and the minor alleles of NLRP3 (rs4612666) (OR: 0.71 [0.58-0.87], 5 studies, 3819 patients with RA or IBD), TNF-308 (rs1800629) (OR: 0.71 [0.55-0.92], 25 studies, 4341 patients with psoriasis, RA, or IBD), FCGR3A (rs396991) (OR: 0.77 [0.65-0.93], 18 studies, 2562 patients with psoriasis, PsA, RA, or IBD), and TNF-238 (rs361525) (OR: 0.57 [0.34-0.96]), 7 studies, 818 patients with psoriasis, RA, or IBD) were associated with poor response to TNFi together or infliximab alone. Genetic variants in TNFα, NLRP3, MYD88, and FcRγ genes are associated with response to TNFi across several inflammatory diseases. Most other genetic variants associated with response were observed in a few studies, and further validation is needed.

Background An increasing body of observational studies has indicated a potential link between allergic diseases, namely atopic dermatitis (AD), allergic rhinitis (AR), allergic asthma (AA), and psoriasis (PSO) as well as psoriatic arthritis (PSA). However, the presence and causal direction of this association remain uncertain. Methods We conducted two-sample Mendelian randomization (TSMR) analyses utilizing summary statistics derived from genome-wide association studies (GWAS) consortia. The summary statistics were obtained from a substantial participant cohort, consisting of 116,000 individuals (21,000 AD cases and 95,000 controls), 462,933 individuals (26,107 AR cases and 436,826 controls), and 140,308 individuals (4859 AA cases and 135,449 controls). The summary statistics for PSO (9267 cases and 360,471 controls) and PSA (3186 cases and 240,862 controls) were sourced from the FinnGen database. The primary analytical approach employed inverse variance weighting (IVW) as the main method within TSMR. We validated our findings through a series of sensitivity analyses. Furthermore, we performed reverse TSMR analyses to evaluate the potential presence of reverse causality. Results Our investigation revealed a potential protective effect of AD against both PSO (OR = 0.922, 95% CI = 0.863-0.984, p = 0.015)and PSA(OR = 0.915, 95% CI = 0.843-0.993, p = 0.033). Moreover, employing inverse MR analysis, we obtained compelling evidence supporting the protective role of PSO in preventing AD (OR = 0.891, 95% CI = 0.829-0.958, p = 0.002), as well as AR (OR = 0.998, 95% CI = 0.996-0.999, p = 0.008), these associations remained statistically significant even after Bonferroni correction was applied to account for multiple comparisons. Furthermore, our findings did not reveal any substantial causal relationship between AA and either PSO or PSA. Conclusion Our study provides compelling evidence that PSO significantly confers protection against both AD and AR, while AD is likely to act as a protective factor for both PSO and PSA. Despite previous studies suggesting an association between allergic diseases and the incidence of PSO and PSA, our findings do not support this claim. To obtain more accurate and reliable conclusions regarding the causal mechanisms involved, larger sample sizes in randomized controlled trials or MR studies are warranted., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, research has intensified in exploring the genetic basis of psoriasis (PsO) and psoriatic arthritis (PsA). Genome-wide association studies (GWASs), including tools like ImmunoChip, have significantly deepened our understanding of disease mechanisms by pinpointing risk-associated genetic loci. These efforts have elucidated biological pathways involved in PsO pathogenesis, particularly those related to the innate immune system, antigen presentation, and adaptive immune responses. Specific genetic loci, such as TRAF3IP2, REL, and FBXL19, have been identified as having a significant impact on disease development. Interestingly, different genetic variants at the same locus can predispose individuals to either PsO or PsA (e.g., IL23R and deletion of LCE3B and LCE3C), with some variants being uniquely linked to PsA (like HLA B27 on chromosome 6). This article aims to summarize known and new data on the genetics of PsO and PsA, their associated genes, and the involvement of the HLA system and cytokines.

Joint diseases affect hundreds of millions of people worldwide, and their prevalence is constantly increasing. To date, despite recent advances in the development of therapeutic options for most rheumatic conditions, a significant proportion of patients still lack efficient disease management, considerably impacting their quality of life. Through the spectrum of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and osteoarthritis (OA) as quintessential and common rheumatic diseases, this review first provides an overview of their epidemiological and clinical features before exploring how the better definition of clinical phenotypes has helped their clinical management. It then discusses the recent progress in understanding the diversity of endotypes underlying disease phenotypes. Finally, this review highlights the current challenges of implementing molecular endotypes towards the personalized management of RA, PsA and OA patients in the future., (Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.)

Objective: There is growing evidence that genetic data are of benefit in the rheumatology outpatient setting by aiding early diagnosis. A genetic probability tool (G-PROB) has been developed to aid diagnosis has not yet been tested in a real-world setting. Our aim was to assess whether G-PROB could aid diagnosis in the rheumatology outpatient setting using data from the Norfolk Arthritis Register (NOAR), a prospective observational cohort of patients presenting with early inflammatory arthritis., Methods: Genotypes and clinician diagnoses were obtained from patients from NOAR. Six G-probabilities (0%-100%) were created for each patient based on known disease-associated odds ratios of published genetic risk variants, each corresponding to one disease of rheumatoid arthritis, systemic lupus erythematosus, psoriatic arthritis, spondyloarthropathy, gout, or "other diseases." Performance of the G-probabilities compared with clinician diagnosis was assessed., Results: We tested G-PROB on 1,047 patients. Calibration of G-probabilities with clinician diagnosis was high, with regression coefficients of 1.047, where 1.00 is ideal. G-probabilities discriminated clinician diagnosis with pooled areas under the curve (95% confidence interval) of 0.85 (0.84-0.86). G-probabilities <5% corresponded to a negative predictive value of 96.0%, for which it was possible to suggest >2 unlikely diseases for 94% of patients and >3 for 53.7% of patients. G-probabilities >50% corresponded to a positive predictive value of 70.4%. In 55.7% of patients, the disease with the highest G-probability corresponded to clinician diagnosis., Conclusion: G-PROB converts complex genetic information into meaningful and interpretable conditional probabilities, which may be especially helpful at eliminating unlikely diagnoses in the rheumatology outpatient setting., (© 2023 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Objective: Inflammatory bowel disease (IBD) is strongly associated with Spondylarthritis (SpA), but the causal relationship remains unclear. This study explores the causal associations between IBD (Crohn's disease [CD] and ulcerative colitis [UC]) and several common subtypes of SpA (Ankylosing Spondylitis [AS], Psoriatic Arthritis [PsA], and Reactive Arthritis [ReA]), using bidirectional two-sample Mendelian randomization (TSMR)., Methods: The causal effects of genetically predicted IBD on AS, PsA, and ReA were firstly investigated in this forward study. The causal effects from AS, PsA, and ReA on IBD were analyzed in the reverse MR. Inverse variance weighted, weighted median, and MR-Egger were applied in the MR analyses. The pleiotropic effects, heterogeneity, and leave-one-out sensitivity analysis were also evaluated., Results: The forward MR analysis demonstrated that IBD increased risk for AS (OR:1.278; P = 1.273 × 10 -5 ), PsA (OR:1.192; P = 1.690 × 10 -5 ), and ReA (OR:1.106; P = 1.524 × 10 -3 ). Among them, CD increased risk of AS (OR:1.196; P = 3.424 × 10 -4 ), PsA (OR:1.101; P = 1.537 × 10 -3 ), ReA (OR:1.079; P = 6.321 × 10 -3 ) whereas UC increased risk of AS (OR:1.166; P = 2.727 × 10 -2 ), PsA (OR:1.110; P = 1.944 × 10 -2 ), and ReA (OR:1.091; P = 1.768 × 10 -2 ). The reverse-direction MR disclosed no notable association; neither was any evidence of pleiotropy detected., Conclusion: Our study verifies a causal effect of IBD to AS, PsA as well as ReA, but not vice versa. This might bring new insights for the management of IBD and SpA in clinical practice., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Previous studies reveal that psoriatic arthritis (PsA) and ankylosing spondylitis (AS) share susceptibility genes, such as HLA-B27, demonstrating a degree of genetic overlap between these diseases. Recent studies have identified a number of novel AS and PsA genetic susceptibility loci, but data on these loci in Chinese PsA patients are limited. To identify candidate genes that confer susceptibility to PsA in Chinese patients with PsA, psoriasis vulgaris (PsV), and healthy controls. Sixteen susceptibility loci, reported in a genome-wide association study of AS, and nine susceptibility loci, reported in candidate gene studies of PsA, were examined. Single-nucleotide polymorphisms (SNPs) were genotyped in 503 patients with PsA, 496 patients with PsV, and 979 healthy controls using the SNPscanTM multiplex SNP genotyping platform. PLINK software and logistic regression analysis were used to estimate the statistical significance of associations. PPP2R3C (rs8006884) was shown to significantly associate with PsA+PsV (p = 1.92×10-3, OR = 1.28) and was suggested to associate with PsV (p = 0.03, OR = 1.19). A suggestive association was also observed between IL-23R (rs12141575) and PsA as well as with axial PsA based on subtype analysis, KIF3A (rs2897442) and PsV, and ERN1 (rs196941) or IFIH1 (rs984971) and axial PsA. Our results suggest that PPP2R3C confers susceptibility to PsA and PsV, and that this gene may be related to the pathogenesis of psoriatic lesions and arthritis. Moreover, our results indicate a possible association between IL-23R, ERN1, or IFIH1 and subtypes of PsA, and between KIF3A and PsV.

The Proviral Integration site for the Moloney murine leukemia virus (PIM)-1 kinase and its family members (PIM-2 and PIM-3) regulate several cellular functions including survival, proliferation, and apoptosis. Recent studies showed their involvement in the pathogenesis of rheumatoid arthritis RA, while no studies are available on psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA). The main objective of this study is to assess the expression of PIM kinases in inflammatory arthritides, their correlation with proinflammatory cytokines, and their variation after treatment with biologic disease-modifying anti-rheumatic drugs or JAK inhibitors. We evaluated PIM-1, -2, and -3 expression at the gene and protein level, respectively, in the peripheral blood mononuclear cells and serum of patients with RA, PsA, axSpA, and healthy individuals (CTR). All the samples showed expression of PIM-1, -2, and -3 kinases both at the gene and protein level. PIM-1 was the most expressed protein, PIM-3 the least. PIM kinase levels differed between controls and disease groups, with reduced PIM-1 protein and increased PIM-3 protein in all disease samples compared to controls. No difference was found in the expression of these molecules between the three different pathologies. PIM levels were not modified after 6 months of therapy. In conclusion, our preliminary data suggest a deregulation of the PIM pathway in inflammatory arthritides. In-depth studies on the role of PIM kinases in this field are warranted.

Background: Lipid pathways play a crucial role in psoriatic arthritis development, and some lipid-lowering drugs are believed to have therapeutic benefits due to their anti-inflammatory properties. Traditional observational studies face issues with confounding factors, complicating the interpretation of causality. This study seeks to determine the genetic link between these medications and the risk of psoriatic arthritis., Methods: This drug target study utilized the Mendelian randomization strategy. We harnessed high-quality data from population-level genome-wide association studies sourced from the UK Biobank and FinnGen databases. The inverse variance-weighted method, complemented by robust pleiotropy methods, was employed. We examined the causal relationships between three lipid-lowering agents and psoriatic arthritis to unveil the underlying mechanisms., Results: A significant association was observed between genetically represented proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition and a decreased risk of psoriatic arthritis (odds ratio [OR]: 0.51; 95% CI 0.14-0.88; P < 0.01). This association was further corroborated in an independent dataset (OR 0.60; 95% CI 0.25-0.94; P = 0.03). Sensitivity analyses affirmed the absence of statistical evidence for pleiotropic or genetic confounding biases. However, no substantial associations were identified for either 3-hydroxy-3-methylglutaryl-CoA reductase inhibitors or Niemann-Pick C1-like 1 inhibitors., Conclusions: This Mendelian randomization analysis underscores the pivotal role of PCSK9 in the etiology of psoriatic arthritis. Inhibition of PCSK9 is associated with reduced psoriatic arthritis risk, highlighting the potential therapeutic benefits of existing PCSK9 inhibitors., (© 2024. The Author(s).)

Psoriatic arthritis mutilans (PAM) is the rarest and most severe form of psoriatic arthritis, characterized by erosions of the small joints and osteolysis leading to joint disruption. Despite its severity, the underlying mechanisms are unknown, and no susceptibility genes have hitherto been identified. We aimed to investigate the genetic basis of PAM by performing massive parallel sequencing in sixty-one patients from the PAM Nordic cohort. We found rare variants in the NADPH oxidase 4 (NOX4) in four patients. In silico predictions show that the identified variants are potentially damaging. NOXs are the only enzymes producing reactive oxygen species (ROS). NOX4 is specifically involved in the differentiation of osteoclasts, the cells implicated in bone resorption. Functional follow-up studies using cell culture, zebrafish models, and measurement of ROS in patients uncovered that these NOX4 variants increase ROS levels both in vitro and in vivo. We propose NOX4 as the first candidate susceptibility gene for PAM. Our study links high levels of ROS caused by NOX4 variants to the development of PAM, offering a potential therapeutic target., (© 2024. The Author(s).)

Introduction: tRNA-derived fragments (tRFs) play an important role in immune responses. To clarify the role of tRFs in autoimmunity we studied circulating tRF-levels in patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA), and in a murine model for arthritis., Material and Methods: Circulating tRF-levels were quantified by miR-Q RT-qPCR. tRNA processing and modification enzyme expression was analysed by RT-qPCR and public transcriptomics data., Results: Significant reduction (up to 3-fold on average) of tRF-levels derived from tRNA-Gly-GCC,CCC, tRNA-Glu-CTC and tRNA-Val-CAC,AAC was observed in RA patients, whereas tRNA-Glu-CTC and tRNA-Val-CAC,AAC tRFs were found at significantly higher levels (up to 3-fold on average) in PsA patients, compared to healthy controls. Also in arthritic IL1Ra-KO mice reduced levels of tRNA-Glu-CTC fragments were seen. The expression of NSUN2, a methyltransferase catalysing tRNA methylation, was increased in RA-peripheral blood mononuclear cells (PBMCs) compared to PsA, but this is not consistently supported by public transcriptomics data., Discussion: The observed changes of specific tRF-levels may be involved in the immune responses in RA and PsA and may be applicable as new biomarkers., Conclusion: Circulating tRF-levels are decreased in RA and increased in PsA and this may, at least in part, be mediated by methylation changes.

Objective: The objective is to describe the HLA allelic frequency in PsA and correlate it with demographic and clinical variables., Methods: Retrospective study of adult patients with a diagnosis of PsA (n=23) and healthy controls (n=46), all with a request for HLA-A, B, C, DR. Typing was performed using HLA-PCR/SSO LifeCodes and analyzed on the LUMINEX IS100/200 xMAP ® system. (Ethics/Code HMC2022-014)., Results: One hundred thirty-eight alleles were included from 69 individuals, 43,5% women, aged 44,5±16,5 years in patients with PsA, with a mean age of disease onset of 33.4±14 years. Only 9.5% had a high Body Mass Index and dyslipidemia was the most frequent comorbidity (34.8%), followed by high blood pressure (26,1%). 82% debuted with skin manifestation and once the joint disease was established, the predominance was peripheral (74%) due to arthritis/arthralgia in 74%, enthesitis in 30% and dactylitis in 13%. The allele frequencies were for HLA*A 2402 (13%), 3201 (13%) and 2427 (8,7%), for HLA*B 1402 (17,4%), 4002 (17,4%), 3801 (13%) and HLA*DR 0404 (17,4%), 0407 (13%). No HLA*B27 was identified and HLA*C0602 was only 2,2%. HLA A*0201 and DR*1301 were less frequent in controls versus PsA (p=0.024 and 0,029, respectively), while HLA*B1302 was frequent in PsA (p=0,035)., Conclusions: Curiously, there were no positive results for HLAB*27, which may be related to the population mix. HLA Cw6 is traditionally associated with psoriasis. However, its absence has been linked to nail disorders and PsA; consequently, in our study, it had a low frequency (2,2%). On the other hand, HLA*B1302 has been related to the disease and its early onset; in the healthy Colombian population, it has been described in 0,92%; in our group, it is found to be significant in patients without establishing a clinical association. Few previous studies report HLA results in PsA in Colombia.

Objectives: Previous studies have reported an association between inflammatory cytokines and inflammatory arthritis, including Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and psoriatic arthritis (PsA). This study aims to explore the causal relationship between inflammatory cytokines and AS, RA, and PsA using Mendelian randomization (MR)., Methods: We conducted a bidirectional two-sample MR analysis using genetic summary data from a publicly available genome-wide association study (GWAS) that included 41 genetic variations of inflammatory cytokines, as well as genetic variant data for AS, RA, and PsA from the FinnGen consortium. The main analysis method used was Inverse variance weighted (IVW) to investigate the causal relationship between exposure and outcome. Additionally, other methods such as MR Egger, weighted median (WM), simple mode, and weighted mode were employed to strengthen the final results. Sensitivity analysis was also performed to ensure the reliability of the findings., Results: The results showed that macrophage colony-stimulating factor (MCSF) was associated with an increased risk of AS (OR = 1.163, 95 % CI = 1.016-1.33, p = 0.028). Conversely, high levels of TRAIL and beta nerve growth factor (β-NGF) were associated with a decreased risk of AS (OR = 0.892, 95 % CI = 0.81-0.982, p = 0.002; OR = 0.829, 95 % CI = 0.696-0.988, p = 0.036). Four inflammatory cytokines were found to be associated with an increased risk of PsA: vascular endothelial growth factor (VEGF) (OR = 1.161, 95 % CI = 1.057-1.275, p = 0.002); Interleukin 12p70 (IL12p70) (OR = 1.189, 95 % CI = 1.049-1.346, p = 0.007); IL10 (OR = 1.216, 95 % CI = 1.024-1.444, p = 0.026); IL13 (OR = 1.159, 95 % CI = 1.05-1.28, p = 0.004). Interleukin 1 receptor antagonist (IL-1rα) was associated with an increased risk of seropositive RA (OR = 1.181, 95 % CI = 1.044-1.336, p = 0.008). Similarly, genetic susceptibility to inflammatory arthritis was found to be causally associated with multiple inflammatory cytokines. Lastly, the sensitivity analysis supported the robustness of these findings., Conclusions: This study provides additional insights into the relationship between inflammatory cytokines and inflammatory arthritis, and may offer new clues for the etiology, diagnosis, and treatment of inflammatory arthritis., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objective: Although the association between obesity and risk of rheumatic disease is well established, the precise causal relation has not been conclusively proven. Here, we estimate the causal effect of body mass index (BMI) on the risk of developing 5 different rheumatic diseases., Methods: Linear and nonlinear mendelian randomization (MR) were used to estimate the effect of BMI on risk of rheumatic disease, and sex-specific effects were identified. Analyses were performed in 361,952 participants from the UK Biobank cohort for 5 rheumatic diseases: rheumatoid arthritis (n = 8,381 cases), osteoarthritis (n = 87,430), psoriatic arthropathy (n = 933), gout (n = 13,638), and inflammatory spondylitis (n = 4,328)., Results: Using linear MR, we found that 1 SD increase in BMI increases the incidence rate for rheumatoid arthritis (incidence rate ratio [IRR] 1.52 [95% confidence interval (95% CI) 1.36-1.69]), osteoarthritis (IRR 1.49 [95% CI 1.43-1.55]), psoriatic arthropathy (IRR 1.80 [95% CI 1.31-2.48]), gout (IRR 1.73 [95% CI 1.56-1.92]), and inflammatory spondylitis (IRR 1.34 [95% CI 1.14-1.57]) in all individuals. BMI was found to be a stronger risk factor in women compared to men for psoriatic arthropathy (P for sex interaction = 3.3 × 10 -4 ) and gout (P for sex interaction = 4.3 × 10 -3 ), and the effect on osteoarthritis was stronger in premenopausal compared to postmenopausal women (P = 1.8 × 10 -3 ). Nonlinear effects of BMI were identified for osteoarthritis and gout in men, and for gout in women. The nonlinearity for gout was also more extreme in men compared to women (P = 0.03)., Conclusion: Higher BMI causes an increased risk for rheumatic disease, an effect that is more pronounced in women for both gout and psoriatic arthropathy. The novel sex- and BMI-specific causal effects identified here provide further insight into rheumatic disease etiology and mark an important step toward personalized medicine., (© 2023 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Background: In psoriatic arthritis (PsA), the primary goal of treatment is clinical remission. This study aimed to characterize the molecular profile underlying the induced clinical remission in patients with PsA, comparing the remission state and the healthy condition., Methods: Whole blood transcriptomic analysis was performed on groups of 14 PsA patients in TNFi-induced clinical remission (DAPSA ≤ 4), 14 PsA patients with active disease (DAPSA > 14), and 14 healthy controls (HCs). Then, all differentially expressed genes (DEGs) derived from remission vs. HC comparison were analyzed for functional and biological characteristics by bioinformatics software. The gene expression of 12 genes was then validated by RT-qPCR in an extended cohort of 39 patients in clinical remission, 40 with active disease, and 40 HCs., Results: The transcriptomic analysis of PsA remission vs. HCs highlighted the presence of 125 DEGs, and out of these genes, 24 were coding genes and showed a great involvement in immune system processes and a functional network with significant interactions. The RT-qPCR validation confirming the down- and upregulation of FOS (FC -2.0; p 0.005) and CCDC50 (FC +1.5; p 0.005) genes, respectively, in line with their role in orchestrating inflammation and bone metabolism processes, may be related to PsA pathophysiology., Conclusion: The transcriptomic profile of clinical remission in PsA is similar to a healthy condition, but not identical, differing for the expression of FOS and CCDC50 genes, which appears to play a key role in its achievement., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2023 Angioni, Floris, Cangemi, Congia, Chessa, Naitza, Piga and Cauli.)

Response to the anti-IL17 monoclonal antibody secukinumab is heterogeneous, and not all participants respond to treatment. Understanding whether this heterogeneity is driven by genetic variation is a key aim of pharmacogenetics and could influence precision medicine approaches in inflammatory diseases. Using changes in disease activity scores across 5,218 genotyped individuals from 19 clinical trials across four indications (psoriatic arthritis, psoriasis, ankylosing spondylitis, and rheumatoid arthritis), we tested whether genetics predicted response to secukinumab. We did not find any evidence of association between treatment response and common variants, imputed HLA alleles, polygenic risk scores of disease susceptibility, or cross-disease components of shared genetic risk. This suggests that anti-IL17 therapy is equally effective regardless of an individual's genetic background, a finding that has important implications for future genetic studies of biological therapy response in inflammatory diseases., Competing Interests: Declaration of interests C.Z., C.H., N.H., C.T., M.W., A.R., R.M., M.T.B., J.Z., E.F., and M.V. are employees and stock owners of Novartis AG or its subsidiaries. Other authors, including K.S., C.H.K., L.S., D.W., and S.G. were funded by the BDI-Novartis Collaboration for AI in Medicine, which is funded by a grant from Novartis AG. Novartis AG manufactures and markets secukinumab and has an ongoing commercial interest in its success., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: To systematically assess the magnitude of suicidal behavior among PsA patients and identify associated risk factors. Also identify common genes or coinherited single nucleotide polymorphisms (SNPs) implicated in suicidal behavior and PsA., Methods: Based on the PRISMA guidelines, we conducted a systematic literature review of the online databases PubMed/Medline, Web of Science, and EMBASE from inception to May 2022. Full-text original articles that describe suicidal behavior in PsA patients were eligible. All registered genome-wide association study (GWAS) data in the GWAS catalog database for PsA and psychiatric traits, such as suicidal behavior, and depression, were downloaded for further analysis., Results: A total of 48 articles were identified, and 6 were relevant to the study question .Among the 122,160 PsA patients, 700 had suicidal behavior (0,57%). The range of age in one study was between 30 and 49 years, and 64% of PsA patients with suicidal behavior were female. Among 13,899 PsA patients 74 had suicidal ideation (0.53%) and 125 suicide attempts occurred (0.9%). In two studies, among 17,383 patients, 13 complete suicides occurred (0.07%). A genetic haplotype on chromosomal region 6p21.1, spanning from 29,597,596 to 32,251,264 Mb, contains predisposing SNPs for PsA and depression. 6p21.1-6p21.3 is the chromosomal region containing the HLA genes of classes I, II and III., Conclusion: Suicide behavior in PsA patients was associated with depression and other psychiatric comorbidities. Further evidence supports a genetic origin, at least partly. Awareness of these findings can help clinicians to recognize suicide behavior and prevent suicide attempts., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest, (Copyright © 2023 Elsevier Inc. All rights reserved.)

The melanoma differentiation-associated protein 5 (MDA5; encoded by the IFIH1 gene) mediates the activation of the interferon pathway in response to a viral infection. This protein is also upregulated in autoimmune diseases and psoriasis skin lesions. IFIH1 gene variants that increase MDA5 activity have been associated with an increased risk for immune-mediated diseases, including psoriasis. Our aim is to determine the association between three IFIH1 variants (rs35337543 G/C, intron8 + 1; rs35744605 C/A, Glu627Stop; and rs1990760 C/T, Ala946Thr) and the main clinical findings in a cohort of Spanish patients with psoriasis (N = 572; 77% early-onset). Early-onset psoriasis patients (EOPs) had a significantly higher frequency of severe disease and the Cw6*0602 allele. Carriers of rs1990760 T (946 Thr ) were more common in the EOPs ( p < 0.001), and the effect was more pronounced among Cw6*0602-negatives. This variant was also associated with an increased risk of psoriatic arthritis (PsA) independent from other factors (OR = 1.62, 95%CI = 1.11-2.37). The rs3533754 and rs35744605 polymorphisms did not show significant differences between the two onset age or PsA groups. Compared to the controls, the 946 Thr variant was more common in the EOPs (nonsignificant difference) and significantly less common in patients aged >40 years ( p = 0.005). In conclusion, the common IFIH1 rs1990760 T allele was significantly more frequent in early-onset compared to late-onset patients. This variant was also an independent risk factor for PsA in our cohort. Our study reinforces the widely reported role of the IFIH1 gene variants on psoriatic disease.

Background: Some retrospective studies reported that psoriasis (PsO) and psoriatic arthritis (PsA) may have been associated with an elevated risk of skin cancer. The causal associations among them remain unclear., Objectives: To evaluate the causal association of among both PsO and PsA, and skin cancer., Methods: We performed large-scale two-sample and Multivariate Mendelian randomization analyses to examine whether there is a causal relationship between PsO and PsA, and skin cancer, encompassing basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (cSCC), and cutaneous melanoma (CM)., Results: Genetically predicted PsO, per log-odds ratio increase, showed no significant association with the risk of BCC, cSCC, and CM. The odds ratios (with corresponding 95% confidence intervals) for BCC, cSCC, and CM were 1.00 (0.99,1.01) (P Ivw = 0.990), 0.94(0.89, 1.00) (P Ivw = 0.065), and 0.99 (0.98, 1.01) (P Ivw = 0.239), respectively. PsA showed a significant association with a decreased risk of BCC, with odds ratios (with corresponding 95% confidence intervals) of 1.00 (1.00, 1.00) (P Ivw = 0.214) and 1.00 (1.00, 1.00) (P Ivw = 0.477), respectively. Univariate analysis of the FinnGen database demonstrated PsA did exhibit a significant association with the decrease risk of BCC, with an odds ratio of 0.94(0.90,0.99) (P Ivw = 0.016). However, this association disappeared after other risk factors were adjusted., Conclusions: Our findings suggest no causal association between PsO and PsA and the genetic risk of skin cancer. Further observational studies are required to elucidate the relationship among PsO, PsA, and skin cancer., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yu, Wang, Liu and Guo.)

Background: The causal association between psoriasis and psychiatric disorders remains ambiguous., Objectives: This study aimed to investigate the causal relationship between psoriasis and common psychiatric disorders using bidirectional Mendelian randomization (MR) analysis., Methods: Major depressive disorder (MDD) (N = 217,584), bipolar disorder (N = 51,710), schizophrenia (N = 77,096), and anxiety disorder (N = 218,792) were obtained as outcomes, and psoriasis (N = 337,159) were as exposure. Inverse variance weighting (IVW) was used as the main method, with other sensitivity methods as auxiliary methods. Sensitivity analysis and heterogeneity tests were performed to ensure the robustness of the results. We also performed a subgroup analysis of cases with psoriatic arthritis (PsA) (N = 213,879) by using the same testing methods., Results: MR showed that the genetic risk of psoriasis was positively associated with bipolar disorder (odds ratio (OR) = 13.54, 95 % confidence interval (95%CI): 2.43-75.37, P = 0.002) and MDD (OR = 1.08, 95%CI: 1.01-1.15, P = 0.027), which indicated possible causal relationships between psoriasis and these two diseases. Schizophrenia (OR = 3.52, 95%CI: 0.22-55.71, P = 0.372) and anxiety disorders (OR = 0.65, 95%CI: 0.16-2.63, P = 0.546) indicated no significant causal association. No reverse causal effects of psychiatric disorders on psoriasis were found. Subgroup analysis also suggested causal association of PsA with the bipolar affective disorder (OR = 1.05, 95%CI: 1.01-1.08, P = 0.005)., Limitations: Potential pleiotropic effects, restriction to European populations, and differences in diagnostic criteria., Conclusions: This study has supported the causal association of psoriasis with MDD and bipolar disorder, and the subtype PsA with bipolar disorder, which informed the intervention for mental illnesses in patients with psoriasis., Competing Interests: Declaration of competing interest The authors declare no competing interests., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objectives: The study aimed to identify clinical characteristics in Chinese patients with psoriatic arthritis (PsA) with or without a family history of psoriasis and/or PsA., Methods: Patients with PsA were recruited based on Chinese REgistry of Psoriatic ARthritis (CREPAR) between December 2018 and June 2021. The demographics, clinical information relating to PsA, laboratory variables and comorbidities were collected. The association between family history of psoriatic disease and clinical characteristics on PsA was analysed using logistic regression analysis., Results: Among 1074 eligible patients with PsA, 313 (29.1%) had a family history of psoriasis and/or PsA. Compared with patients without a family history, notably, patients with a family history of psoriasis and/or PsA had an earlier age of onset of psoriasis and PsA, higher proportions of enthesitis and nail involvement, a higher prevalence of positive human leukocyte antigen-B27 (HLA-B27), lower disease activity score 28-erythrocyte sedimentation rate, higher proportions of hyperlipidaemia, lower proportions of hypertension and diabetes. Furthermore, after adjusting for confounding factors, logistic regression analysis demonstrated that a positive family history of psoriasis and/or PsA was associated with more females (OR 1.514, 95% CI 1.088-2.108, p=0.014), earlier age at psoriasis onset (OR 0.971, 95%CI 0.955-0.988, p=0.001), a higher prevalence of HLA-B27 (OR 1.625 95%CI 1.089-2.426, p=0.018), more presence of nail involvement (OR 1.424, 95%CI 1.007-2.013, p=0.046) and enthesitis (OR 1.393, 95%CI 1.005-1.930, p=0.046), a higher proportion of hyperlipidaemia (OR 2.550, 95%CI 1.506-4.317, p=0.001) in PsA patients., Conclusions: This was first nationwide study to characterize patients with and without a family history of psoriatic disease in China. The findings from the present study revealed that family history of psoriasis and/or PsA had greater effects on disease phenotypes of PsA, especially nail disease and enthesitis.

Purpose: Approximately 30% of patients with psoriasis will develop psoriatic arthritis (PsA), leading to a decreased quality of life for the patient caused by increasing disability and additional health complications. The identification of risk factors for the development of PsA would facilitate the development of risk prediction models in which patients with psoriasis at high risk of developing PsA could be targeted in a stratified medicine approach, enabling early intervention and treatment. PsA is known to have a genetic contribution to susceptibility, and the identification of genetic risk factors that differentiate PsA from cutaneous-only psoriasis is a key area of research. This narrative review summarizes the discovery of genetic risk factors and, with the aid of a primer on risk prediction models, discusses their potential role for the classification of PsA risk and diagnosis., Methods: All relevant research articles were identified through searches of the PubMed database for literature published up until December 2022. Search terms included psoriatic arthritis, genetic susceptibility, genetic association, genome-wide association study, GWAS, prediction, and polygenic risk score., Findings: The current literature reveals considerable overlap between the genetic susceptibility loci for PsA and psoriasis. Several PsA-specific genetic risk factors have been reported, and most notably these implicate the HLA-B and IL23R genes. Efforts to include genetic risk factors in prediction models for the development of PsA have reported good discrimination., Implications: Key messages emerging from this narrative are as follows: the limited number of PsA-specific susceptibility loci reported to date suggest larger studies are required, facilitated by international collaboration, to achieve the power to detect further genetic factors; the early promising results for genetic-based risk prediction require further validation in independent datasets; and risk prediction models combining clinical and genetic risk factors have yet to be explored., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Inc.)

Objectives: Synovial monocytes (expressing CD14+CD16+) affect pro-inflammatory responses in the synovium microenvironment of psoriatic arthritis (PsA) and rheumatoid arthritis (RA). The effect of various drugs on those cells was evaluated., Methods: Synovial fluid mononuclear cells (SFMCs) from PsA (n=29) and RA (n=11) patients were cultured with biologics or glucocorticoids (GCs). CD14+CD16+ cells were analysed by flow cytometry. TNF secretion was assessed by ELISA and changes in cytokine and matrix metalloproteinase-9 (MMP-9) mRNA by qPCR., Results: TNF inhibitors (i) [adalimumab (ADA) and infliximab (IFX)] significantly reduced the %CD14+CD16+ cells (p<0.04 and p<0.02, respectively) compared to IL-17Ai, IL-12/23i, and GCs in PsA patients' SFMCs. Similarly, those TNFi reduced the %CD14+CD16+ cells (p<0.05 and p<0.02, respectively) compared to IL-6Ri, CD20i and GCs in RA patients' SFMCs. TNFi (ADA p<0.01, IFX p=0.0003), and GCs (p<0.05) reduced TNF levels in PsA patients SFMCs supernatants. IFX down-regulated IL-1β mRNA (p<0.005) while GCs betamethasone (BET) (p<0.01) and methylprednisolone acetate (MPA) (p<0.005) led to IL-1β up-regulation. IFX down-regulated IL-8 and MMP-9 (p<0.01) and up-regulated IL-10 (p<0.005), and GCs did so to a greater extent (for IL-8, BET p<0.0001 and MPA p<0.005, for MMP-9, BET and MPA p<0.0001 and for IL-10, BET and MPA p<0.0001)., Conclusions: TNFi but not GCs reduced the inflammatory monocytes. Both TNFi and GCs inhibited TNF secretion but differently modulated IL-1β, IL-8, MMP-9 and IL-10 gene expression. Our data point to TNFi as a modulator of synovial monocytes.

Background: Psoriasis is an autoimmune/inflammatory disorder primarily affecting the skin. Chronic joint inflammation triggers the diagnosis of psoriatic arthritis (PsA) in approximately one-third of psoriasis patients. Although joint disease typically follows the onset of skin psoriasis, in around 15% of cases it is the initial presentation, which can result in diagnostic delays. The pathophysiological mechanisms underlying psoriasis and PsA are not yet fully understood, but there is evidence pointing towards epigenetic dysregulation involving CD4 + and CD8 + T-cells., Objectives: The aim of this study was to investigate disease-associated DNA methylation patterns in CD4 + T-cells from psoriasis and PsA patients that may represent potential diagnostic and/or prognostic biomarkers., Methods: PBMCs were collected from 12 patients with chronic plaque psoriasis and 8 PsA patients, and 8 healthy controls. CD4 + T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated., Results: Numbers and proportions of CD4 + T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between controls and "all" psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in "regulation of wound healing, spreading of epidermal cells", "negative regulation of cell-substrate junction organization" and "negative regulation of focal adhesion assembly". Comparing controls and "all" psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting "cAMP-dependent protein kinase inhibitor activity" and "cAMP-dependent protein kinase regulator activity". Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI)., Conclusion: DNA methylation profiles in CD4 + T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Natoli, Charras, Hofmann, Northey, Russ, Schulze, McCann, Abraham and Hedrich.)

Psoriatic arthritis (PsA) is a chronic inflammatory condition characterized by psoriasis, synovitis, enthesitis, spondylitis, and the possible association with other extra-articular manifestations and comorbidities. It is a multifaceted and systemic disorder sustained by complex pathogenesis, combining aspects of autoinflammation and autoimmunity. Features of PsA autoinflammation include the role of biomechanical stress in the onset and/or exacerbation of the disease; the evidence of involvement of the innate immune response mediators in the skin, peripheral blood and synovial tissue; an equal gender distribution; the clinical course which may encounter periods of prolonged remission and overlapping features with autoinflammatory syndromes. Conversely, the role of autoimmunity is evoked by the association with class I major histocompatibility complex alleles, the polyarticular pattern of the disease which sometimes resembles rheumatoid arthritis and the presence of serum autoantibodies. Genetics also provide important insights into the pathogenesis of PsA, particularly related to class I HLA being associated with psoriasis and PsA. In this review, we provide a comprehensive review of the pathogenesis, genetics and clinical features of PsA that endorse the mixed nature of a disorder at the crossroads of autoinflammation and autoimmunity., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Psoriasis (PsO) is a chronic, immune-mediated, inflammatory and polygenic dermatosis associated with both physical and psychological burden that can be triggered by injury, trauma, infections and medications. The etiology of PsO is not fully elucidated but genetic, epigenetic and environmental factors are all likely to play a role. A case-control study was carried out to evaluate the frequency of the IL36G C>T (rs13392494) and the IL36G A>G (rs7584409) variants and their association with susceptibility, joint involvement and severity of PsO. The study included 154 patients with PsO and 154 controls from Brazilian population. The severity of PsO was assessed by the Psoriasis Area and Severity Index (PASI). The IL36G (rs13392494 and rs7584409) variants were genotyped by allelic discrimination assay using the real-time polymerase chain reaction. The association between the IL36G genetic variants and the study variables was analyzed in allelic, dominant, codominant, overdominant, recessive, and haplotype models. The main results were that PsO patients were older (p < 0.001) and had higher body mass index (p < 0.001) than controls; 95.8% of the patients had plaque PsO, 16.1% had psoriatic arthritis (PsA), and 27.9% had PASI > 10. The IL36G rs1339294 variant showed no association with PsO in all genetic models while the IL36G rs7584409 variant showed a protective effect in PsO. However, the G allele of the IL36G rs7584409 in the dominant model was positively associated with PASI > 10 (p = 0.031). Moreover, patients with the GG genotype of the IL36G rs7584409 variant had about 5.0 times more chance of PsA than those with the AA genotype (p = 0.014). Regarding the haplotypes, the C/A in a recessive model (CACA versus C/G and T/A carriers) was associated with PsO (p = 0.035) while the C/G haplotype in a dominant model (C/A carriers versus C/G and T/A carriers) showed a protective effect for PsO (p = 0.041). In conclusion, the G allele of the IL36G rs7584409 variant was associated with protection to PsO; however, in patients with PsO, this same allele was associated with moderate to severe disease and PsA. These results suggest that the IL36G rs7584409 variant may be used as a possible genetic biomarker to predict severity and joint involvement of PsO., Competing Interests: Competing interests The authors declare that they have no competing interest. None of the authors are involved in the publication process or have a financial or other beneficial interest in the products or concepts mentioned in the submitted manuscript., (Copyright © 2023. Published by Elsevier Ltd.)

MTX in genetically distinctive Chinese psoriatic patients remains less explored. The present study aimed to determine the impact of HLA-Cw*06 on MTX response in a Chinese psoriasis patient population. A total of 204 patients with psoriasis were enrolled in this study. Clinical data and DNA samples from all patients were collected. The allele of HLA-Cw*06 genotyping was detected using direct Sanger sequencing. This study enrolled 204 patients with psoriasis, including 47 (23.04%) psoriatic arthritis patients, 157 (76.96%) patients free of psoriatic arthritis. Overall, 110 (53.92%) of all patients carried the HLA-Cw*06 allele. This frequency in patients with arthritis-free psoriasis was higher than that in those with psoriatic arthritis (58.59 vs. 38.30%, P = 0.014). After 8 weeks of MTX treatment, the arthritis-free psoriasis patients, who tested positive for the HLA-Cw*06 allele, showed significant improvement compared to those who tested negative (For PASI50, 78.57 vs. 55.22%, P = 0.02, and for PASI75, 51.11 vs. 34.33%, P = 0.036). The psoriatic arthritis-free patients who carried the HLA-Cw*06 allele in combination with the ABCB1 rs1045642 CC genotype showed the highest improvement. A regression model containing HLA-Cw*06, rs1045642T > C, and initial PASI scores was used to construct the efficacy prediction model of MTX, which yielded AUC values of 73.2 and 75.6% for PASI50 and PASI75 to MTX, respectively, in arthritis-free psoriasis patients. The HLA-Cw*06 allele is associated with optimal response to MTX treatment in arthritis-free Chinese psoriasis patients. When combined with clinical indicators, the polymorphism explained more than 75% of the individual efficacy differences., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Previous studies on family history of psoriasis showed that patients with a family history have an earlier onset of the disease, but such studies in Japan are still limited. To elucidate the characteristics of patients with familial psoriasis, we studied the family history of patients with psoriasis using the West Japan Psoriasis Registry, a multi-institutional registry operated by 26 facilities in the western part of Japan, including university hospitals, community hospitals, and clinics. This study enrolled 1847 patients registered between September 2019 and December 2021, with 199 (10.8%) having a family history of psoriasis. Patients with a family history of psoriasis had significantly earlier onset of the disease than those without a family history. Furthermore, patients with a family history of psoriasis had significantly longer disease duration. Psoriatic arthritis (PsA) was significantly more common in patients with a family history (69/199, 34.7%) than in those without a family history (439/1648, 26.6%) (adjusted P = 0.023). A subanalysis of patients with PsA revealed a significant difference in the patient global assessment (PaGA) score in Fisher's exact test and adjusted test. The numbers of patients with PaGA 0/1 were 29 (43.3%) and 172 (39.9%) in patients with PsA with and without family history of psoriasis, respectively, whereas the numbers of patients with PaGA 3/4 were 13 (19.4%) and 145 (33.6%) in patients with PsA with and without family history of psoriasis, respectively. Other disease severity variables did not show a difference between the two groups. Our findings suggest that genetics play a larger role in the development of PsA than in the development of psoriasis vulgaris. Most cases of PsA occur in patients who already have psoriasis, therefore dermatologists should pay attention to joint symptoms, especially in patients with psoriasis who have a family history of psoriasis., (© 2023 Japanese Dermatological Association.)

Objective: To review the preparation, characteristics and research progress of different PsA animal models., Methods: Computerized searches were conducted in CNKI, PubMed and other databases to classify and discuss the relevant studies on PsA animal models. The search keywords were "PsA and animal model(s), PsA and animal(s), PsA and mouse, PsA and mice, PsA and rat(s), PsA and rabbit(s), PsA and dog(s)" RESULTS: The experimental animals currently used to study PsA are mainly rodents, including mice and rats. According to the different methods of preparing the models, the retrieved animal models were classified into spontaneous or genetic mutation, transgenic and induced animal models. These PsA animal models involve multiple pathogenesis, some experimental animals' lesions appear in a short and comprehensive cycle, some have a high success rate in molding, and some are complex and less reproducibility. This article summarizes the preparation methods, advantages and disadvantages of different models., Conclusions: The animal models of PsA aim to mimic the clinicopathological alterations of PsA patients through gene mutation, transgenesis or targeted proinflammatory factor and to reveal new pathogenic pathways and therapeutic targets by exploring the pathological features and clinical manifestations of the disease. This work will have very far-reaching implications for the in-depth understanding of PsA and the development of new drugs., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Psoriatic arthritis (PSA) is a chronic, immune-mediated inflammatory joint disease that is liked to mortality due to cardiovascular disease. Diagnostic markers and effective therapeutic options for PSA remain limited due to the lack of understanding of the pathogenesis. We aimed to identify potential diagnostic markers and screen the therapeutic compounds for PSA based on bioinformatics analysis., Methods: Differentially expressed genes (DEGs) of PSA were identified from the GSE61281 dataset. WGCNA was used to identify PSA-related modules and prognostic biomarkers. Clinical samples were collected to validate the expression of the diagnostic gene. These DEGs were subjected to the CMap database for the identification of therapeutic candidates for PSA. Potential pathways and targets for drug candidates to treat PSA were predicted using Network Pharmacology. Molecular docking techniques were used to validate key targets., Results: CLEC2B was identified as a diagnostic marker for PSA patients (AUC > 0.8) and was significantly upregulated in blood samples. In addition, celastrol was identified as a candidate drug for PSA. Subsequently, the network pharmacology approach identified four core targets (IL6, TNF, GAPDH, and AKT1) of celastrol and revealed that celastrol could treat PSA by modulating inflammatory-related pathways. Finally, molecular docking demonstrated stable binding of celastrol to four core targets in the treatment of PSA. Animal experiments indicated celastrol alleviated inflammatory response in the mannan-induced PSA., Conclusion: CLEC2B was a diagnostic marker for PSA patients. Celastrol was identified as a potential therapeutic drug for PSA via regulating immunity and inflammation., (© 2023. The Author(s).)

Objectives: Skin from people with psoriasis has been extensively studied and is assumed to be identical to skin from those with psoriatic arthritis (PsA). Chemokines and the CC chemokine scavenger receptor ACKR2 are upregulated in uninvolved psoriasis. ACKR2 has been proposed as a regulator of cutaneous inflammation in psoriasis. The aim of this study was to compare the transcriptome of PsA skin to healthy control (HC) skin and evaluate ACKR2 expression in PsA skin., Methods: Full-thickness skin biopsies from HC, lesional and uninvolved skin from participants with PsA were sequenced on NovaSeq 6000. Findings were validated using qPCR and RNAscope., Results: Nine HC and nine paired PsA skin samples were sequenced. PsA uninvolved skin was transcriptionally similar to HC skin, and lesional PsA skin was enriched in epidermal and inflammatory genes. Lesional PsA skin was enriched in chemokine-mediated signalling pathways, but uninvolved skin was not. ACKR2 was upregulated in lesional PsA skin but had unchanged expression in uninvolved compared with HC skin. The expression of ACKR2 was confirmed by qPCR, and RNAscope demonstrated strong expression of ACKR2 in the suprabasal layer of the epidermis in PsA lesions., Conclusion: Chemokines and their receptors are upregulated in lesional PsA skin but relatively unchanged in uninvolved PsA skin. In contrast to previous psoriasis studies, ACKR2 was not upregulated in uninvolved PsA skin. Further understanding of the chemokine system in PsA may help to explain why inflammation spreads from the skin to the joints in some people with psoriasis., (© 2023. The Author(s).)

Psoriasis (PSO) and psoriatic arthritis (PSA) are inflammatory diseases with complex genetic and environmental contributions. Although studies have identified environmental and clinical associations with PSO/PSA, causality is difficult to establish. Mendelian randomization (MR) employs the random assortment of genetic alleles at birth to evaluate the causal impact of exposures. We systematically reviewed 27 MR studies in PSO/PSA examining health behaviors, comorbidities, and biomarkers. Exposures, including smoking, obesity, cardiovascular disease, and Crohn's disease, were causal for PSO and PSA, whereas PSO was causally associated with several comorbidities. These findings provide insights that can guide preventive counseling and precision medicine., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction: Emerging evidence suggests psoriatic arthritis (PsA) with axial involvement (axPsA) and radiographic axial spondyloarthritis (r-axSpA) may possibly represent distinct disorders, with some differing clinical manifestations, genetic associations, and radiographic findings. Moreover, axPsA and r-axSpA may respond differently to therapies: guselkumab (interleukin [IL]-23p19 subunit inhibitor [i]) and ustekinumab (IL-12/23p40i) demonstrated improvements in axial symptoms in patients with PsA; however, neither risankizumab (IL-23p19i) nor ustekinumab demonstrated efficacy versus placebo in patients with r-axSpA. Current analyses aim to further understand potential molecular distinctions between axPsA and r-axSpA and examine the pharmacodynamic effects of guselkumab in patients with axPsA and those with PsA without axial involvement (non-axPsA)., Methods: Post hoc analyses utilized biomarker data from blood and serum samples collected from a subset of participants in phase 3 studies of ustekinumab in r-axSpA and guselkumab in PsA (DISCOVER-1 and DISCOVER-2). Participants with axPsA were identified by investigator-verified sacroiliitis (imaging-confirmed) and axial symptoms. HLA mapping, serum cytokine analysis, and whole-blood RNA sequencing were conducted., Results: Relative to r-axSpA, patients with axPsA had a lower prevalence of HLA-B27, HLA-C01, and HLA-C02 alleles and a higher prevalence of HLA-B13, HLA-B38, HLA-B57, HLA-C06, and HLA-C12 alleles. Compared with r-axSpA, patients with axPsA had elevated baseline levels of serum IL-17A and IL-17F cytokines, enrichment of IL-17 and IL-10 pathway-associated genes, and neutrophil gene markers. Across axPsA and non-axPsA cohorts, reductions in cytokine levels and normalization of pathway-associated gene expression with guselkumab treatment were comparable., Conclusion: The differences in HLA genetic associations, serum cytokines, and enrichment scores support the concept that axPsA and r-axSpA may be distinct disorders. The comparable pharmacodynamic effects of guselkumab on cytokine levels and pathway-associated genes observed in patients with axPsA and non-axPsA are consistent with demonstrated clinical improvements across PsA cohorts. These findings contribute to the understanding of potential genetic and molecular distinctions between axPsA and r-axSpA., Trial Registration: ClinicalTrials.gov identifiers, NCT03162796, NCT0315828, NCT02437162, and NCT02438787., (© 2023. The Author(s).)

Objectives: To evaluate the association between liver fibrosis and the HLACw6 allele in psoriatic arthritis (PsA) patients., Methods: A retrospective longitudinal study involving PsA patients with determination of the HLA-Cw6 allele was performed. Liver fibrosis was estimated by using the FIB-4 (fibrosis-4) score. A multivariate logistic model was undertaken to assess the odds ratio (OR), with its 95% confidence interval, of liver fibrosis after adjustment for potential confounding factors., Results: A total of 209 PsA patients were included: 25.3% HLA-Cw6 were positive, 59.8% were receiving biological disease-modifying anti-rheumatic drugs (bDMARDs), 29.6% had arterial hypertension (AHT), 24% dyslipidaemia, and 4.2% acute myocardial infarction (AMI). The HLA-Cw6 allele was more frequent in PsA patients with normal FIB-4 values (p=0.024), as opposed to AHT (p=0.002), AMI (p=0.023) and dyslipidaemia (p=0.030), which were found more frequently in subjects with altered FIB-4 values. The presence HLA-Cw6 and the use of bDMARDs were confirmed as protective factors against liver fibrosis (OR 0.210, 0.062-0.707, p=0.012 and OR 0.397, 0.166-0.949, p=0.038, respectively). Conversely, AHT emerged as a risk factor (OR 2.973, 1.125-7.858, p=0.028)., Conclusions: In PsA, the HLA-Cw6 allele and bDMARDs behave as protective factors for liver fibrosis, while AHT is an independent risk factor.

Competing Interests: Competing interests: None declared.

Background: MAP kinases are some of the cascades that are specialized in the cell's response to external stimuli. Their impaired functioning can be observed during the course of psoriatic arthritis. Currently, the best-known class of biological drugs is the inhibitors of the proinflammatory cytokine TNF-α, including adalimumab., Objective: The aim of this study was to assess changes in the expression of MAP kinase genes in patients with psoriatic arthritis treated with adalimumab, as well as to determine which of the analyzed transcripts could be used as a diagnostic or therapeutic target., Methods: An analysis was performed on the total RNA extracted from PBMCs of patients with psoriatic arthritis before and after three months of adalimumab therapy as well as from a control group. Changes in the expression of the mitogen-activated protein kinase genes were assessed using the HG-U133A 2.0 oligonucleotide microarray method, while the obtained results were validated using the real-time RT-qPCR method., Results: Using the oligonucleotide microarray method, 14 genes coded for proteins from the MAPK group were identified with at least a two-fold change of expression in the control group and during adalimumab therapy. Validation of the results confirmed a statistically significant decrease in the transcriptional activity of the MAP2K2 gene in the group of patients three months after the administration of adalimumab relative to the control group., Conclusion: Adalimumab therapy alters the expression of MAPK-coding genes. The assessment of the number of MAP2K2 mRNA molecules can potentially be used in diagnostic analyses or in monitoring adalimumab therapy., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Psoriatic arthritis (PsA) is a heterogeneous chronic musculoskeletal disease, affecting up to 30% of people with psoriasis. Research into PsA pathogenesis has led to the development of targeted therapies, including Tumor Necrosis Factor inhibitors (TNF-i). Good response is only achieved by ~60% of patients leading to 'trial and error' drug management approaches, adverse reactions and increasing healthcare costs. Robust and well-validated biomarker identification, and subsequent development of sensitive and specific assays, would facilitate the implementation of a stratified approach into clinical care. This review will summarise potential genetic biomarkers for TNF-i (adalimumab, etanercept and infliximab) response that have been reported to date. It will also comment upon the importance of managing clinical confounders when understanding drug response prediction. Variants in multiple gene regions including TNF-A, FCGR2A, TNFAIP3, TNFR1/TNFR1A/TNFRSF1A, TRAIL-R1/TNFRSF10A, FCGR3A have been reported to correlate with TNF-i response at various levels of statistical significance in patients with PsA. However, results were often from heterogenous and underpowered cohorts and none are currently implemented into clinical practice. External validation of genetic biomarkers in large, well-documented cohorts is required, and assessment of the predictive value of combining multiple genetic biomarkers with clinical measures is essential to clinically embed pharmacogenomics into PsA drug management., (© 2022. The Author(s).)