Mendelian randomization analysis of psoriasis and psoriatic arthritis associated with risks of ulcerative colitis.

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.

Exposure to Air Pollution, Genetic Susceptibility, and Psoriasis Risk in the UK.

Importance: Psoriasis is a common autoinflammatory disease influenced by complex interactions between environmental and genetic factors. The influence of long-term air pollution exposure on psoriasis remains underexplored. Objective: To examine the association between long-term exposure to air pollution and psoriasis and the interaction between air pollution and genetic susceptibility for incident psoriasis. Design, Setting, and Participants: This prospective cohort study used data from the UK Biobank. The analysis sample included individuals who were psoriasis free at baseline and had available data on air pollution exposure. Genetic analyses were restricted to White participants. Data were analyzed between November 1 and December 10, 2023. Exposures: Exposure to nitrogen dioxide (NO2), nitrogen oxides (NOx), fine particulate matter with a diameter less than 2.5 µm (PM2.5), and particulate matter with a diameter less than 10 µm (PM10) and genetic susceptibility for psoriasis. Main Outcomes and Measures: To ascertain the association of long-term exposure to NO2, NOx, PM2.5, and PM10 with the risk of psoriasis, a Cox proportional hazards model with time-varying air pollution exposure was used. Cox models were also used to explore the potential interplay between air pollutant exposure and genetic susceptibility for the risk of psoriasis incidence. Results: A total of 474 055 individuals were included, with a mean (SD) age of 56.54 (8.09) years and 257 686 (54.36%) female participants. There were 9186 participants (1.94%) identified as Asian or Asian British, 7542 (1.59%) as Black or Black British, and 446 637 (94.22%) as White European. During a median (IQR) follow-up of 11.91 (11.21-12.59) years, 4031 incident psoriasis events were recorded. There was a positive association between the risk of psoriasis and air pollutant exposure. For every IQR increase in PM2.5, PM10, NO2, and NOx, the hazard ratios (HRs) were 1.41 (95% CI, 1.35-1.46), 1.47 (95% CI, 1.41-1.52), 1.28 (95% CI, 1.23-1.33), and 1.19 (95% CI, 1.14-1.24), respectively. When comparing individuals in the lowest exposure quartile (Q1) with those in the highest exposure quartile (Q4), the multivariate-adjusted HRs were 2.01 (95% CI, 1.83-2.20) for PM2.5, 2.21 (95% CI, 2.02-2.43) for PM10, 1.64 (95% CI, 1.49-1.80) for NO2, and 1.34 (95% CI, 1.22-1.47) for NOx. Moreover, significant interactions between air pollution and genetic predisposition for incident psoriasis were observed. In the subset of 446 637 White individuals, the findings indicated a substantial risk of psoriasis development in participants exposed to the highest quartile of air pollution levels concomitant with high genetic risk compared with those in the lowest quartile of air pollution levels with low genetic risk (PM2.5: HR, 4.11; 95% CI, 3.46-4.90; PM10: HR, 4.29; 95% CI, 3.61-5.08; NO2: HR, 2.95; 95% CI, 2.49-3.50; NOx: HR, 2.44; 95% CI, 2.08-2.87). Conclusions and Relevance: In this prospective cohort study of the association between air pollution and psoriasis, long-term exposure to air pollution was associated with increased psoriasis risk. There was an interaction between air pollution and genetic susceptibility on psoriasis risk.

The relationship between psoriasis and vitiligo: From a comprehensive study.

BACKGROUND: Both psoriasis and vitiligo are autoimmune skin diseases. Previous observational studies have indicated a relationship between the two conditions, and simultaneous onset of both diseases poses increased health risks to patients. However, limited research has explored the causal relationship between psoriasis and vitiligo. OBJECTIVES: To investigate whether a causal association exists between psoriasis and vitiligo. METHODS: A case of Chinese patients diagnosed with psoriasis and vitiligo has been reported. Transcriptome sequencing was performed on normal, psoriasis, vitiligo, and co-morbid skin tissues of the patients, and single-cell transcriptome sequencing was conducted on the co-morbid skin tissues. A comprehensive Mendelian randomization analysis of Genome-wide association studies (GWAS) was performed on a cohort of 261 018 European individuals with psoriasis from the IEU Open GWAS Project and vitiligo from the National Institutes of Health (NIH) Database of Genotypes and Phenotypes. RESULTS: Case report and transcriptome results showed that skin tissue with vitiligo combined with psoriasis exhibited both vitiligo and psoriasis. Single-cell transcriptome sequencing results showed that in comparison to normal skin and psoriatic skin, the proportions of CD8+ T cells, natural killer cells, naive T cells, T helper cells 17, regulatory T cells, conventional type 1 dendritic cells, Conventional type 2 dendritic cells, and plasmacytoid dendritic cells were all increased in skin tissue with vitiligo combined with psoriasis. Mendelian randomization analysis included 4510 patients with psoriasis and 4680 patients with vitiligo. The results showed no causal relationship between vitiligo and psoriasis in the forward direction (p = 0.192; odds ratio [OR], 1.059; 95% confidence interval [CI], 0.971-1.155) or in the reverse direction (p = 0.459; OR, 0.927; 95% CI, 0.757-1.134). CONCLUSIONS: This study suggests that the association between psoriasis and vitiligo may be closely related to immunity, however, Mendelian randomization studies do not support a causal relationship. These findings hold significant implications for clinicians aiming to enhance their understanding and treatment approaches for psoriasis and vitiligo.

Relationship of psoriatic arthritis with nail and scalp involvement in Turkish psoriasis patients: Multicentered cross-sectional study.

Psoriasis is a common multisystem inflammatory disease, and arthritis is an essential component of the disorder, requiring early diagnosis and prompt treatment for successful management. In this study, we aimed to investigate the relationship between nail and scalp involvement and other covariates with psoriatic arthritis (PsA). This cross-sectional study, conducted from June 2021 through December 2021, included 763 patients from 11 different centers in Turkey. The severity of involvement was evaluated using psoriasis area severity index (PASI), nail psoriasis severity index (NAPSI), and psoriasis scalp severity index (PSSI) scores. Predictors for PsA were evaluated using univariate and multivariate logistic regression models. PsA (n = 155, 21.5%) was significantly more common in patients having a family history of psoriasis (43.2% vs 30.9%, P = .004), nail involvement (68.4% vs 52.3%, P < .001), and coexistence of nail and scalp involvement (53.7% vs 39.6%, P = .002). Furthermore, patients with PsA had considerably higher PASI (7 vs 5.6, P = .006), NAPSI (5 vs 2, P < .001), and PSSI scores (7 vs 4, P = .002) and longer disease duration (months) (126 vs 108, P = .009). In multivariate analysis, female gender [OR: 3.01, 95% CI (1.861-4.880), P < .001], nail involvement [OR: 2.06, 95% CI (1.293-3.302), P = .002)], and body mass index (BMI) [OR: 1.06, 95% CI (1.017-1.100), P = .005] were identified as independent predictors for PsA. Female gender, nail involvement, and high BMI are significant predictors for PsA and warrant detailed rheumatological assessment. Notably, being female is the strongest predictor of increased risk of PsA in our survey. Scalp involvement appears not to be associated with PsA. Also, the presence of PsA seems related to a more severe skin involvement phenotype.

The circadian syndrome is a better predictor for psoriasis than the metabolic syndrome via an explainable machine learning method - the NHANES survey during 2005-2006 and 2009-2014.

Objective: To explore the association between circadian syndrome (CircS) and Metabolic Syndrome (MetS) with psoriasis. Compare the performance of MetS and CircS in predicting psoriasis. Methods: An observational study used data from the NHANES surveys conducted in 2005-2006 and 2009-2014. We constructed three multiple logistic regression models to investigate the relationship between MetS, CircS, and their components with psoriasis. The performance of MetS and CircS in predicting psoriasis was compared using five machine-learning algorithms, and the best-performing model was explained via SHAP. Then, bidirectional Mendelian randomization analyses with the inverse variance weighted (IVW) as the primary method were employed to determine the causal effects of each component. Result: A total of 9,531 participants were eligible for the study. Both the MetS (OR = 1.53, 95%CI: 1.07-2.17, P = 0.02) and CircS (OR = 1.40, 95%CI: 1.02-1.91, P = 0.039) positively correlated with psoriasis. Each CircS algorithmic model performs better than MetS, with Categorical Features+Gradient Boosting for CircS (the area under the precision-recall curve = 0.969) having the best prediction effect on psoriasis. Among the components of CircS, elevated blood pressure, depression symptoms, elevated waist circumference (WC), and short sleep contributed more to predicting psoriasis. Under the IVW methods, there were significant causal relationships between WC (OR = 1.52, 95%CI: 1.34-1.73, P = 1.35e-10), hypertension (OR = 1.68, 95%CI: 1.19-2.37, P = 0.003), depression symptoms (OR = 1.39, 95%CI: 1.17-1.65, P = 1.51e-4), and short sleep (OR = 2.03, 95%CI: 1.21-3.39, p = 0.007) with psoriasis risk. Conclusion: CircS demonstrated superior predictive ability for prevalent psoriasis compared to MetS, with elevated blood pressure, depression symptoms, and elevated WC contributing more to the prediction.

Association between psoriasis and asthma: a systematic review and bidirectional meta-analysis.

BACKGROUND: The risk of asthma in patients with psoriasis has been identified in previous studies, but the bidirectional association between the two has not been fully explored. METHODS: We thoroughly searched PubMed, Embase, and the Cochrane Library to find relevant observational studies published from the inception of these databases to October 2023. All the risk and bias assessments were analyzed by STATA 16.0. Where the heterogeneity was less than 50%, the fixed effect model was utilized. While where the level of heterogeneity was more than 50%, the random effect model was applied. Moreover, to identify publication bias, a visual funnel chart, and Egger's test were applied. RESULTS: A total of 12,396,911 participants from 16 studies, published between 2011 and 2023 were included in this meta-analysis. We found that psoriasis patients had a higher risk of developing asthma (OR = 1.48, 95%CI 1.28-1.68). Meanwhile, asthma patients also had a higher overall risk of developing psoriasis (OR = 1.33, 95%CI 1.23-1.44). In the subgroup analysis, we found that the type of study, age, and severity of the psoriasis were significant factors in the survey of asthma risk in psoriasis patients. CONCLUSIONS: In the present systematic review and meta-analysis, we found a bidirectional association between psoriasis and asthma with significantly increased risk. As a result, clinicians should make patients aware of the connection between the two, particularly adolescents or patients with moderate to severe psoriasis who need to be informed about the rising likelihood of developing asthma. TRIAL REGISTRATION: Registration number CRD42023390111 .

Association between systemic immunity-inflammation index and psoriasis among outpatient US adults.

Background: Psoriasis is a chronic dermatological condition characterized by a complex pathogenesis that impacts approximately 3% of adults in the United States and brings enormous social burdens. For many diseases, the systemic immune-inflammatory index (SII), defined as neutrophils × platelets/lymphocytes, has been recognized as a prognostic indicator. Therefore, we conducted a cross-sectional study to assess the association between SII and psoriasis among outpatient US adults. Methods: In this cross-sectional study, we used data on the US adults 20 to 59 years of age from the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2006 and 2009-2014. Sample-weighted logistic regression and stratified analysis of subgroups were used. Results: Among the 16,831 adults, there were 8,801 women and 8,030 men, with a psoriasis prevalence rate of 3.0%. A fully adjusted model revealed a positive association between a SII higher than 479.15 × 109/L and a high risk of psoriasis. According to subgroup analysis and interaction testing (p for interaction > 0.05), age, sex, alcohol drinking status, marital status, and body mass index (BMI) were not significantly correlated with this positive association. Conclusion: Our findings suggested that SII higher than 479.15 × 109/L was positively associated with a high risk of psoriasis among outpatient US adults. To the best of our knowledge, this is the first cross-sectional study using NHANES data focused on the risk of higher SII on psoriasis among outpatient US adults. The outcomes of this cross-sectional serve to supplement previous research, indicating a need for larger-scale prospective cohorts for further validation.

Disease severity, treatment patterns, and quality of life in patients with moderate-to-severe psoriasis routinely managed with systemic treatment: results of the CRYSTAL observational study in Central and Eastern European countries.

Psoriasis is a common, life-long skin disease with a significant negative health and societal impact. Data on rates of disease control and treatment strategies are lacking in Central and Eastern European countries. We aimed to describe the real-world disease severity, control, and treatment strategies for psoriasis in patients from Central and Eastern European countries. CRYSTAL (EUPAS36459) was a cross-sectional, retrospective study in adults (18-75 years) from Bulgaria, Estonia, Hungary, Latvia, Lithuania, Romania, and Russia. We enrolled patients with moderate-to-severe psoriasis receiving continuous systemic treatment for ≥24 weeks. We used the Psoriasis Area and Severity Index (PASI) to describe disease severity and the Dermatology Life Quality Index (DLQI) to assess quality of life (QoL) and collected other outcomes [psoriasis work productivity and activity impairment (WPAI-PSO), patient satisfaction] at enrollment. Analyses were descriptive. A total of 690 patients were included in the analyses. Median disease duration was 11.8 years. Current treatment was monotherapy for most patients (95.8%) with either biological (BIO group; 88.4%) or conventional (NON-BIO group; 7.4%) agents. Mean (± standard deviation) absolute PASI scores were 3.5 ± 5.7, 3.1 ± 5.3, and 6.6 ± 7.4 in the overall population, the BIO group, and the NON-BIO group, respectively. Among patients treated with monotherapy, absolute PASI scores ≤1, ≤3, and ≤5 were observed for 44.1%, 72.0%, and 82.6% of BIO patients and 21.6%, 33.3%, and 49.0% of NON-BIO patients. Mean DLQI total score was 3.3 ± 5.1; higher scores were noted for higher absolute PASI. The most impacted WPAI-PSO domain was presenteeism; for all domains, impact increased with increased absolute PASI. A total of 91.8% of BIO patients and 74.5% of NON-BIO patients were satisfied with the current treatment. We observed a better disease control in BIO than NON-BIO patients. However, around half of BIO patients did not reach clear skin status and reported an impact on QoL. An improvement in treatment strategies is still needed in Central and Eastern European countries to optimize outcomes of moderate-to-severe psoriasis.

Causal associations between psoriasis, eczema, urticaria, and mental illness: A bidirectional Mendelian randomization study of the European population.

Observational studies have reported a relationship between multiple common dermatoses and mental illness. To assess the potential bidirectional causality between 3 skin disorders (psoriasis, eczema, and urticaria) and 4 psychiatric disorders (bipolar disorder, schizophrenia, major depressive disorder, and anxiety) in the European population, we used Mendelian randomization (MR) analysis, which provides definitive evidence for causal inference. Eligible single nucleotide polymorphisms were screened for dermatological and psychiatric disorders using a genome-wide association study database. We conducted bidirectional, 2-sample MR analysis using instrumental variables related to psoriasis, eczema, and urticaria as exposure factors, and bipolar disorder, schizophrenia, major depression, and anxiety as outcomes. Reverse MR analysis with bipolar disorder, schizophrenia, major depression, and anxiety as exposure and psoriasis, eczema, and urticaria as outcomes were also performed, and the causality was analyzed using inverse-variance weighting (IVW), MR-Egger, and weighted median methods. To thoroughly assess causality, sensitivity analyses were conducted using the IVW, MR-PRESSO, and MR-Egger methods. The results showed that bipolar disorder increased the incidence of psoriasis (odds ratio = 1.271, 95% confidence interval = 1.003-1.612, P = .047), heterogeneity test with Cochran Q test in the IVW showed P value > .05, (P = .302), the MR-Pleiotropy and MR-PRESSO (outlier methods) in the multiplicity test showed P value > .05, (P = .694; P = .441), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.060; SE = 0.139; P = .694). Major depression increased the risk of eczema (odds ratio = 1.002, 95% confidence interval = 1.000-1.004, P = .024), heterogeneity test showed P value > .05, (P = .328), multiplicity detection showed P value > .05, (P = .572; P = .340), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.099; SE = 0.162; P = .572). Sensitivity analyses of the above results were reliable, and no heterogeneity or multiplicity was found. This study demonstrated a statistically significant causality between bipolar disorder and psoriasis, major depression, and eczema in a European population, which could provide important information for physicians in the clinical management of common skin conditions.

A cross-sectional study of psoriasis hospitalizations in patients with cardiovascular comorbidities in patients under 60.

There is limited data assessing length of stay, cost of care, and differences in demographic data in hospitalized psoriasis patients with and without cardiovascular disease. Our study compares hospitalized psoriatic patients with and without comorbid cardiovascular disease for differences in length of stay and cost of care, as well as to assess differences in patient demographics. A cross-sectional study of hospital encounters of patients under the age of 60 with psoriasis in the National Inpatient Sample from 2016 to 2020 was performed using univariate analyses and a multivariable logistic regression model. A total of 2,485 psoriasis hospitalizations were included. 2,145 (86.3%) had psoriasis without cardiovascular disease and 340 (13.7%) had psoriasis with cardiovascular disease. Linear regression models identified significantly longer lengths of stay (Beta: 1.6; SE: 0.721; P = 0.030) and higher cost of care (Beta: 4,946; SE: 1,920; P = 0.011) in psoriasis patients with cardiovascular comorbidities.

Adding salt to foods and risk of psoriasis: A prospective cohort study.

BACKGROUND: High salt intake may play a critical role in the etiology of psoriasis. Yet, evidence on the association of high salt intake with risk of psoriasis is limited. OBJECTIVE: To estimate the association between frequency of adding salt to foods and risk of psoriasis. METHODS: We conducted a prospective cohort study of 433,788 participants from the UK Biobank. Hazard ratios (HRs) and their 95 % confidence intervals (CIs) for risk of psoriasis in relation to frequency of adding salt to foods were estimated using multivariable Cox proportional hazards models. We further evaluated the joint association of adding salt to foods and genetic susceptibility with risk of psoriasis. We conducted a mediation analysis to assess how much of the effect of adding salt to foods on risk of psoriasis was mediated through several selected mediators. RESULTS: During a median of 14.0 years of follow-up, 4279 incident cases of psoriasis were identified. In the multivariable-adjusted model, a higher frequency of adding salt to foods was significantly associated with an increased risk of psoriasis ("always" versus "never/rarely" adding salt to foods, HR = 1.25, 95 % CI: 1.10, 1.41). The observed positive association was generally similar across subgroups. In the joint association analysis, we observed that participants with a high genetic risk (above the second tertile) and the highest frequency of adding salt to foods experienced 149 % higher risk of psoriasis, when compared with participants with a low genetic risk (below the first tertile) and the lowest frequency of adding salt to foods (HR = 2.49, 95 % CI: 2.05, 3.02). Mediation analysis revealed that 1.8 %-3.2 % of the positive association between frequency of adding salt and risk of psoriasis was statistically significantly mediated by obesity and inflammatory biomarkers such as C-reactive protein and systemic immune-inflammation index (all P values < 0.004). CONCLUSIONS: Our study demonstrated a positive association between frequency of adding salt to foods and risk of psoriasis. The positive association was independent of multiple other risk factors, and may be partially mediated through obesity and inflammation.

Evaluating prevalence and consequence of residual disease in individuals with psoriasis receiving apremilast treatment: results from a US patient survey.

Purpose: This noninterventional, cross-sectional survey estimated the prevalence and consequences of residual disease in apremilast-treated US adults with moderate to severe psoriasis. Materials and Methods: Residual disease was defined as experiencing moderate, severe, or very severe psoriasis over the past week or having ≥3% body surface area affected, despite treatment. Factors associated with residual disease and its effects on flare-ups, humanistic burden, and health care resource utilization (HCRU) were evaluated. Results: Of the 344 apremilast users (mean age, 44.9 years; female, 65.4%), 174 (50.6%) had residual disease. It was more prevalent in Black versus White participants (OR, 4.5; 95% CI, 1.6-12.2), those receiving apremilast for ≥1 versus <1 year (OR, 16.5; 95% CI, 7.9-34.4), those reporting ≥2 versus 0 to 1 flare-ups during the past 3 months (OR, 10.0; 95% CI, 5.0-20.1), and those with ≥4 versus 1 to 3 body regions affected at time of survey (OR, 8.6; 95% CI, 3.8-19.8). Participants with versus without residual disease self-reported more psoriasis flare-ups over the past 3 months (mean, 4.7 vs 0.9; p < .001) and more anxiety (89.7% vs 50.0%; p < .001) and depression (69.0% vs 23.6%; p < .001) over the past 30 days. Conclusion: Generally, participants with versus without residual disease also had significantly more comorbidities and greater HCRU.

Genomic correlation, shared loci, and causal relationship between insomnia and psoriasis: a large-scale genome-wide cross-trait analysis.

Psoriasis and insomnia have co-morbidities, however, their common genetic basis is still unclear. We analyzed psoriasis and insomnia with summary statistics from genome-wide association studies. We first quantified overall genetic correlations, then ascertained multiple effector loci and expression-trait associations, and lastly, we analyzed the causal effects between psoriasis and insomnia. A prevalent genetic link between psoriasis and insomnia was found, four pleiotropic loci affecting psoriasis and insomnia were identified, and 154 genes were shared, indicating a genetic link between psoriasis and insomnia. Yet, there is no causal relationship between psoriasis and insomnia by two-sample Mendelian randomization. We discovered a genetic connection between insomnia and psoriasis driven by biological pleiotropy and unrelated to causation. Cross-trait analysis indicates a common genetic basis for psoriasis and insomnia. The results of this study highlight the importance of sleep management in the pathogenesis of psoriasis.

Causal relationship between inflammatory skin diseases and breast cancer: A bidirectional Mendelian randomization study.

INTRODUCTION: Prior research has explored the relationship between inflammatory skin disorders and breast cancer (BC), yet the causality of this association remains uncertain. METHODS: Utilizing a bidirectional two-sample Mendelian randomization (MR) approach, this study aimed to elucidate the causal dynamics between various inflammatory skin conditions-namely acne, atopic dermatitis, psoriasis vulgaris, urticaria, and rosacea-and BC. Genetic variants implicated in these disorders were sourced from comprehensive genome-wide association studies representative of European ancestry. In the forward MR, BC was posited as the exposure, while the reverse MR treated each inflammatory skin disease as the exposure. A suite of analytical methodologies, including random effects inverse variance weighted (IVW), weighted median (WME), and MR-Egger, were employed to probe the causative links between inflammatory skin diseases and BC. Sensitivity analyses, alongside evaluations for heterogeneity and pleiotropy, were conducted to substantiate the findings. RESULTS: The MR analysis revealed an increased risk of acne associated with BC (IVW: OR = 1.063, 95% CI = 1.011-1.117, p = 0.016), while noting a decreased risk of atopic dermatitis (AD) in BC patients (IVW: OR = 0.941, 95% CI = 0.886-0.999, p = 0.047). No significant associations were observed between BC and psoriasis vulgaris, urticaria, or rosacea. Conversely, reverse MR analyses detected no effect of BC on the incidence of inflammatory skin diseases. The absence of pleiotropy and the consistency of these outcomes strengthen the study's conclusions. CONCLUSION: Findings indicate an elevated incidence of acne and a reduced incidence of AD in individuals with BC within the European population.

Assessing the relationship between psoriasis and thyroid dysfunction through two sample MR analysis.

BACKGROUND: The association between psoriasis and hyperthyroidism/hypothyroidism remains inconclusive, with conflicting findings in prior studies. OBJECTIVES: This study employs Mendelian randomization methods to assess the potential relationship. METHODS: Given the inability to accurately observe the link between psoriasis and thyroid dysfunction, we prioritized utilizing known genetic variants to investigate the potential impacts of the disease.We analyzed data from genome-wide association studies (GWASs), FinnGen, and UK Biobank to extract information on psoriasis, hyperthyroidism, and hypothyroidism. Three MR approaches (MR Egger, weighted median, and inverse variance weighted) were used to scrutinize the causal link. RESULTS: Our analysis revealed no correlation between psoriasis and hyperthyroidism/hypothyroidism. However,  vulgar psoriasis and guttate psoriasis were associated with hypothyroidism/myxedema (IVW odds ratio (OR) = 1.00, 95% confidence interval (CI) = 1.00-1.00, P = 2.53E-03), and Graves' disease (IVW OR = 0.86, 95% CI = 0.72-1.01, P = 4.75E-02).In a subsequent analysis, we observed that hypothyroidism with mucinous edema showed no correlation with Graves' disease in the opposite(P = 9.33E-01). CONCLUSION: This MR analysis suggests no association between psoriasis and thyroid dysfunction, but highlights associations of vulgar/guttate psoriasis with hypothyroidism/myxedema and Graves' disease. In clinical practice, diagnosing guttate psoriasis requires vigilance for associated risks from hypothyroidism and Graves' disease. For patients with both vulgar psoriasis and hypothyroidism, careful monitoring for mucinous edema is crucial, as it may signal a hypothyroid crisis.

The association between BNT162b2 vaccinations and incidence of immune-mediated comorbidities.

BACKGROUND: A large vaccination campaign was initiated worldwide in December 2020 in order to prevent infection with SARS-CoV-2 and severe Covid-19 disease. However, long-term adverse effects of vaccination remain unclear. Therefore, our objective was to examine the association between vaccination and the incidence of autoimmune diagnoses in the first year after vaccine uptake. METHODS: This retrospective cohort study based on Clalit Health Services (CHS) comprehensive database compared the rates of immune-mediated diagnoses among BNT162b2 vaccinated versus unvaccinated individuals. As a reference, a secondary cohort compared individuals infected with Sars-CoV-2 versus uninfected individuals. The minimum follow-up period was 4 months. The cohorts were divided into 4 age groups (12-17, 18-44, 45-64, 65 years or older). Multivariate Cox proportional hazard regression models were applied, followed by a correction for multiple comparisons using the False Discovery Rate (FDR) method, hence accounting for the investigation of multiple clinical outcomes. RESULTS: Increased risk for immune-mediated diagnoses following vaccination with BNT162b2 was observed for psoriasis in all age groups (HR 1.41-1.69), colitis among patients younger than 65 years (HR 1.38-1.93), vitiligo in patients aged 45-64 (HR 2.82, 95 %CI: 1.57-5.08) and for polymyalgia-rheumatica in patients aged 65 years or older (HR 2.12, 95 % CI: 1.3-3.47). In the reference cohort, patients who were infected by Covid-19 were at increased risk for fibromyalgia (HR 1.72, 95 % CI: 1.36-2.19 in individuals aged 18-44; HR 1.71, 95 % CI: 1.31-2.22 in individuals aged 45-64), and hypothyroidism (HR 1.54, 95 % CI: 1.15-2.07 in individuals aged 65 years or older). CONCLUSIONS: The BNT162b2 vaccine was associated with increased risk (though rare) for psoriasis, colitis and polymyalgia rheumatica. These findings should be considered as a part of the risk-benefit assessment when planning future vaccination programs for various population groups.

Managing the Patient with Psoriasis and Metabolic Comorbidities.

Epidemiological data demonstrate strong associations between psoriasis and metabolic comorbidities, including obesity, hypertension, diabetes mellitus, dyslipidemia, and non-alcoholic fatty liver disease. The presence of metabolic comorbidities significantly influences the selection and effectiveness of pharmacological treatments. Some drugs should be prescribed with caution in patients with metabolic comorbidities because of an increased risk of adverse events, while others could have a reduced effectiveness. The aim of this narrative review is to highlight the challenges that healthcare professionals may face regarding the management of psoriasis in patients with metabolic comorbidities. In the first part of the article, the epidemiological association between psoriasis and metabolic comorbidities and their pathogenetic mechanisms is summarized. The second part describes the efficacy and safety profile of conventional and biologic drugs in patients with selected metabolic comorbidities including obesity, non-alcoholic fatty liver disease/hepatic steatosis, and diabetes. Finally, the role of pharmacological and non-pharmacological interventions, such as diet, alcohol abstinence, physical activity, and smoking avoidance is discussed. In conclusion, the choice of the best approach to manage patients with psoriasis with metabolic comorbidities should encompass both tailored pharmacological and individualized non-pharmacological interventions.

Neuroticism and inflammatory skin diseases: a bidirectional Mendelian randomization study.

Previous observational studies have linked inflammatory skin diseases with mental health issues and neuroticism. However, the specific impact of neuroticism and its subclusters (i.e. worry, depressed affect, and sensitivity to environmental stress and adversity) on these conditions remains underexplored. In this work, we explored causal associations between common inflammatory skin diseases and neuroticism. We conducted a two-sample, bidirectional Mendelian randomization (MR) analysis using data from genome-wide association studies in psoriasis, atopic dermatitis, neuroticism and relevant genetic subclusters conducted on participants of European ancestry. Corrections for sample overlap were applied where necessary. We found that psoriasis was causally associated with increased levels of worry (odds ratio, 95% confidence intervals: 1.011, 1.006-1.016, P = 3.84 × 10-6) while none of the neuroticism subclusters showed significant association with psoriasis. Sensitivity analyses revealed considerable evidence of directional pleiotropy between psoriasis and neuroticism traits. Conversely, genetic liability to atopic dermatitis did not exhibit any significant association with neuroticism traits. Notably, genetically predicted worry was linked to an elevated risk of atopic dermatitis (odds ratio, 95% confidence intervals: 1.227, 1.067-1.41, P = 3.97 × 10-3). Correction for overlapping samples confirmed the robustness of these results. These findings suggest potential avenues for future interventions aimed at reducing stress and worry among patients with inflammatory skin conditions.