Relationship between circulating white blood cell count and inflammatory skin disease: a bidirectional mendelian randomization study.

Observational studies have shown a strong association between circulating white blood cell counts (WBC) and inflammatory skin diseases such as acne and psoriasis. However, the causal nature of this relationship is unclear. We performed a two-way two-sample Mendelian randomization (MR) analysis to investigate potential causal relationships between leukocytes and inflammatory skin diseases. The circulating white blood cell count, basophil cell count, leukocyte cell count, lymphocyte cell count, eosinophil cell count, and neutrophil cell count data were obtained from the Blood Cell Consortium (BCX). The data for inflammatory skin disorders, including acne, atopic dermatitis (AD), hidradenitis suppurativa (HS), psoriasis, and seborrheic dermatitis (SD), were obtained from the FinnGen Consortium R10. The primary analysis utilized inverse variance weighting (IVW) along with additional methods such as MR-Egger, weighted mode, and weighted median estimator. To assess heterogeneity among instrument variables, Cochran's Q test was employed, while MR-Egger intercept and MR-PRESSO were used to test for horizontal pleiotropy. IVW demonstrated that an elevated monocyte count was significantly associated with a decreased risk of psoriasis (OR = 0.897, 95% CI: 0.841-0.957, P = 0.001, FDR = 0.016). Additionally, an increased eosinophil count was causally associated with a higher risk of AD (OR = 1.188, 95% CI: 1.093-1.293, P = 0.000, FDR = 0.002). No inverse causal relationship between inflammatory skin disease and circulating white blood cell count was found. In conclusion, this study provides evidence that increased monocyte count is associated with a reduced risk of psoriasis and that there is a causal relationship between increased eosinophil counts and an increased risk of AD. These findings help us understand the potential causal role of specific white blood cell counts in the development of inflammatory skin diseases.

Plasma proteins and inflammatory dermatoses: proteome-wide Mendelian randomization and colocalization analyses.

Current genome-wide association studies (GWAS) of plasma proteomes provide additional possibilities for finding new drug targets for inflammatory dermatoses. We performed proteome-wide Mendelian randomization (MR) and colocalization analyses to identify novel potential drug targets for inflammatory dermatoses. We performed MR and colocalization analysis using genetic variation as instrumental variables to determine the causal relationship between circulating plasma proteins and inflammatory dermatoses. 5 plasma proteins were found to be causally associated with dermatitis eczematosa, SLE, urticaria and psoriasis using cis-pQTLs as instrumental variables, but not found in AD and LP. 19 candidate genes with high colocalization evidence were identified. These potential drug targets still require more research and rigorous validation in future trials.

Metagenomics reveals unique gut mycobiome biomarkers in psoriasis.

PURPOSE: In present, the diagnosis of psoriasis is mainly based on the patient's typical clinical manifestations, dermoscopy and skin biopsy, and unlike other immune diseases, psoriasis lacks specific indicators in the blood. Therefore, we are required to search novel biomarkers for the diagnosis of psoriasis. METHODS: In this study, we analyzed the composition and the differences of intestinal fungal communities composition between psoriasis patients and healthy individuals in order to find the intestinal fungal communities associated with the diagnosis of psoriasis. We built a machine learning model and identified potential microbial markers for the diagnosis of psoriasis. RESULTS: The results of AUROC (area under ROC) showed that Aspergillus puulaauensis (AUROC = 0.779), Kazachstania africana (AUROC = 0.750) and Torulaspora delbrueckii (AUROC = 0.745) had high predictive ability (AUROC > 0.7) for predicting psoriasis, While Fusarium keratoplasticum (AUROC = 0.670) was relatively lower (AUROC < 0.7). CONCLUSION: The strategy based on the prediction of intestinal fungal communities provides a new idea for the diagnosis of psoriasis and is expected to become an auxiliary diagnostic method for psoriasis.

Genetic causality and metabolite pathway identifying the relationship of blood metabolites and psoriasis.

BACKGROUND: Psoriasis is a chronic inflammatory disease that causes significant disability. However, little is known about the underlying metabolic mechanisms of psoriasis. Our study aims to investigate the causality of 975 blood metabolites with the risk of psoriasis. MATERIALS AND METHODS: We mainly applied genetic analysis to explore the possible associations between 975 blood metabolites and psoriasis. The inverse variance weighted (IVW) method was used as the primary analysis to assess the possible association of blood metabolites with psoriasis. Moreover, generalized summary-data-based Mendelian randomization (GSMR) was used as a supplementary analysis. In addition, linkage disequilibrium score regression (LDSC) was used to investigate their genetic correction further. Metabolic pathway analysis of the most suggested metabolites was also performed using MetaboAnalyst 5.0. RESULTS: In our primary analysis, 17 metabolites, including unsaturated fatty acids, phospholipids, and triglycerides traits, were selected as potential factors in psoriasis, with odd ratios (OR) ranging from 0.986 to 1.01. The GSMR method confirmed the above results (ß = 0.001, p < 0.05). LDSC analysis mainly suggested the genetic correlation of psoriasis with genetic correlations (rg) from 0.088 to 0.155. Based on the selected metabolites, metabolic pathway analysis suggested seven metabolic pathways including ketone body that may be prominent pathways for metabolites in psoriasis. CONCLUSION: Our study supports the causal role of unsaturated fatty acid properties and lipid traits with psoriasis. These properties may be regulated by the ketone body metabolic pathway.

Comparative Analysis of P-selectin Levels in Psoriasis, Vitiligo, and Nonskin Disease in a Tertiary Care Hospital: A Case-Control Study.

INTRODUCTION: The role and function of P-selectin levels in various inflammatory and immune-mediated diseases have been established. Whether they have an association with inflammatory skin diseases such as vitiligo and psoriasis needs to be established. OBJECTIVE: The objective of this study was to assess P-selectin levels in psoriasis and vitiligo and to compare them with matched controls without skin disease. MATERIALS AND METHODS: The study included a total of 90 subjects with age- and sex-matched - 30 each in psoriasis, vitiligo and 30 controls without skin disease. Psoriasis and vitiligo severity was assessed using the Psoriasis Area and Severity Index and the Vitiligo Area Scoring Index scores. P-selectin levels were assessed and compared among the groups. P-selectin levels were also compared with the severity of psoriasis and vitiligo. Chi-square and analysis of variance tests were used to compare the data. RESULTS: The mean age of subjects was 36.28 ± 11.80 years. Majority of the subjects were males (65.6%). The three groups were matched for age, sex, and other demographics. The mean P-selectin levels were 610.43 ± 134.19, 292.52 ± 60.99, and 158.97 ± 34.76 ng/ml, respectively, in the psoriasis, vitiligo, and control groups, respectively (P < 0.001). No significant association of P-selectin levels was observed with psoriasis severity; however, with increasing vitiligo severity, there was a significant increase in P-selectin levels (P < 0.001). CONCLUSION: Patients with skin diseases have raised P-selectin levels. Within skin diseases, inflammatory diseases such as psoriasis have higher P-selectin levels as compared to autoimmune diseases such as vitiligo. A significant association of P-selectin levels was observed with vitiligo severity but not with psoriasis severity.

Résumé Introduction:Le rôle et la fonction des niveaux de P-sélectine dans diverses maladies inflammatoires et à médiation immunitaire ont été établis. Si leur association avec des maladies inflammatoires de la peau telles que le vitiligo et le psoriasis doit être établie.Objectif:L'objectif L'objectif de cette étude était d'évaluer les niveaux de P-sélectine dans le psoriasis et le vitiligo et de comparer l'anthropo avec des témoins appariés sans maladie cutanée.Matériels et méthodes:L'étude a inclus un total de 90 sujets ­ 30 dans chaque groupe, des sujets de même âge et sexe atteints de psoriasis, de vitiligo. et contrôles sans maladie de peau. La gravité du psoriasis et du vitiligo a été évaluée à l'aide du Psoriasis Area and Severity Index et du Vitiligo. Scores de l'indice de notation de zone. Les niveaux de P-sélectine ont été évalués et comparés entre les groupes. Les niveaux de P-sélectine ont également été comparés aux gravité du psoriasis et du vitiligo. Des tests du chi carré et d'analyse de variance ont été utilisés pour comparer les données.Résultats:L'âge moyen des sujets était de 36,28 ± 11,80 ans. La majorité des sujets étaient des hommes (65,6 %). Les trois groupes ont été appariés en fonction de l'âge, du sexe et d'autres données démographiques. Les taux moyens de P-sélectine étaient respectivement de 610,43 ± 134,19, 292,52 ± 60,99 et 158,97 ± 34,76 ng/ml dans les patients atteints de psoriasis, de vitiligo et de contrôle. groupes, respectivement (P <0,001). Aucune association significative entre les taux de P-sélectine et la gravité du psoriasis n'a été observée; cependant, avec l'augmentation En cas de gravité du vitiligo, il y avait une augmentation significative des taux de P-sélectine ( P < 0,001).Conclusion:les patients atteints de maladies de peau ont augmenté la sélectine P les niveaux. Parmi les maladies de la peau, les maladies inflammatoires telles que le psoriasis ont des taux de sélectine P plus élevés que les maladies auto-immunes telles que comme le vitiligo. Une association significative des taux de P-sélectine a été observée avec la gravité du vitiligo mais pas avec la gravité du psoriasis.

Metabolomic and lipidomic fingerprints in inflammatory skin diseases - Systemic illumination of atopic dermatitis, hidradenitis suppurativa and plaque psoriasis.

Auto-inflammatory skin diseases place considerable symptomatic and emotional burden on the affected and put pressure on healthcare expenditures. Although most apparent symptoms manifest on the skin, the systemic inflammation merits a deeper analysis beyond the surface. We set out to identify systemic commonalities, as well as differences in the metabolome and lipidome when comparing between diseases and healthy controls. Lipidomic and metabolomic LC-MS profiling was applied, using plasma samples collected from patients suffering from atopic dermatitis, plaque-type psoriasis or hidradenitis suppurativa or healthy controls. Plasma profiles revealed a notable shift in the non-enzymatic anti-oxidant defense in all three inflammatory disorders, placing cysteine metabolism at the center of potential dysregulation. Lipid network enrichment additionally indicated the disease-specific provision of lipid mediators associated with key roles in inflammation signaling. These findings will help to disentangle the systemic components of autoimmune dermatological diseases, paving the way to individualized therapy and improved prognosis.

Evaluation of ß2-microglobulin in the condition and prognosis of psoriasis patients.

BACKGROUND: Numerous studies have linked the inflammatory pathway in psoriasis and metabolic disease, while no specific marker defined it. It is worth exploring the association of ß2-microglobulin (ß2M) in psoriasis severity and comorbidities. OBJECTIVES: To investigate the correlation between blood ß2M level and psoriasis severity, to explore the inflammatory factors influencing the occurrence of psoriasis comorbidities such as arthritis, diabetes, and hypertension. METHODS: Ninety-seven psoriasis patients were analyzed in the cohort retrospective study during 12 weeks. RESULTS: Significantly higher levels of blood ß2M and ESR were observed in the group that patients' PASI ≥10 than in the group that PASI <10. Blood ß2M level had strong significantly positive correlations with the PASI in Pearson's correlation analysis. In the model that systemic inflammatory factors to find psoriasis comorbidity risk factors, logistic regression analysis showed that blood ß2M level was the significant risk factor associated with diabetes and hypertension. High-sensitivity C-reactive protein (hsCRP) was the significant risk factor associated with arthritis. CONCLUSIONS: Patients with a severer psoriasis tended to have higher blood ß2M levels and severer inflammatory state. In the systemic inflammation indexes, the level of blood ß2M affected the risk of hypertension and diabetes, and hsCRP affected the risk of arthritis in patients with psoriasis.

Assessing the genetic associations between plasma lipidomic profiles and psoriasis vulgaris.

Several studies have indicated a potential causal relationship between plasma standard lipids, such as high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC), and psoriasis. However, few studies have offered causal evidence of lipid species beyond these standard lipids. We conducted an analysis using a genome-wide association study (GWAS) dataset comprising 179 lipid species, including 13 types across four major categories, to identify instrumental variables (IVs) associated with plasma lipids. We utilized two GWAS datasets from the IEU and Finngen for psoriasis vulgaris as the outcome. A two-sample Mendelian randomization (MR) analysis was used to explore the causal relationship between 179 lipid species and psoriasis vulgaris in two datasets. Lipid species showing causal association in both psoriasis datasets were compared for overlap. Our study identified potential causal relationships between six lipid species and psoriasis vulgaris: phosphatidylcholine (16:1_18:2), phosphatidylcholine (18:0_18:2), phosphatidylcholine (18:1_20:4), phosphatidylethanolamine (16:0_18:2), phosphatidylinositol (18:0_20:3), and triacylglycerol (50:1). In summary, elevated plasma levels of phosphatidylcholine (16:1_18:2), phosphatidylcholine (18:0_18:2), phosphatidylethanolamine (16:0_18:2), phosphatidylinositol (18:0_20:3), and triacylglycerol (50:1) may increase the risk of psoriasis vulgaris. Conversely, plasma phosphatidylcholine (18:1_20:4) may play a protective role against psoriasis vulgaris.

Increased serum ATG5 as a marker of autophagy in psoriasis vulgaris patients: a cross-sectional study.

Psoriasis (PsO) is a prevalent chronic inflammatory skin disease. It is a complex condition that is affected by environmental and hereditary variables. Numerous pathogens, including viruses, bacteria, and even fungi, have been linked to PsO. One of the mechanisms that clears infections is autophagy. The mechanism by which a cell feeds itself is called autophagy by reusing cytoplasmic components in the lysosome. The autophagy-related (ATG) proteins are essential components of the system that control the strictly regulated process of autophagy. Among these 41 proteins, ATG5 is one that is required in order for autophagic vesicles to develop. This research aimed to compare ATG5 levels in serum among those suffering from psoriasis vulgaris and healthy controls. This cross-sectional research was carried out on 45 individuals with vulgaris psoriasis and 45 healthy, sex and age-matched control subjects. All participants underwent a clinical examination, a laboratory investigation, and a history taking, including lipid profiles and serum ATG5. The mean age of the control and PsO were 40.6 ± 9.6, and 43.7 ± 9.3 years respectively. The mean total PASI score was 13.9 ± 8.9, with a median of 11.7 (8.8). According to the PASI score, about 38% (n = 17) had mild disease (PASI < 10), and about 62% (n = 28) had moderate/severe disease (PASI ≥ 10). There was a significantly higher median (IQR) (25th-75th) ATG5 level in PsO 206 (97) (145-242) ng/ml than in the control 147 (98) (111-209) ng/ml (p = 0.002). An insignificant higher median level (IQR) was observed in PsO with mild disease 207(95) compared with those with moderate/severe disease 183(98.5) (p = 0.057). Dissimilarly, the median (IQR) ATG5 level was significantly lower in PsO individuals with metabolic syndrome 170(72) compared with those without 207(104) (p = 0.044). Four predictors were identified following sex and age adjustments, in the final linear regression model: PASI score, triglyceride, High-Density Lipoprotein, and presence of metabolic syndrome. There can be a connection between autophagy as measured by ATG5 and psoriasis vulgaris. ATG5 was elevated in the serum of individuals with psoriasis vulgaris. However, it decreased in patients with metabolic syndrome. No relation was found between serum ATG5 and PASI score. Psoriasis vulgaris patients may benefit from using an autophagy enhancer as a potential treatment target.

Role of Claudin- 3 as a biomarker of gut-skin axis integrity in patients with psoriasis.

Increased intestinal permeability and gut dysbiosis are important factors in the pathophysiology of psoriasis and its associated conditions. Claudin-3 is a protein that is found in tight junctions and may be used to assess the integrity of the gut barrier. The aim of this study was to investigate serum concentration of Claudin- 3 (CLDN3) in patients with psoriasis. Exploring its possible relations with patients' demographic, clinical and laboratory findings was another objective. Fifty psoriatic patients and thirty-five age- and sex-matched healthy volunteers served as the study's control group in this case-control, hospital-based research. The amount of serum CLDN3 was determined by means of an enzyme-linked immunosorbent test (ELISA). Concentration of serum CLDN3 was found to be significantly higher in patients with psoriasis. (p = 0.002). There was no statistically significant correlation between CLDN3 and patient's clinical & laboratory variables. We demonstrated that gut permeability is dysfunctional in patients with psoriasis as indicated by reduction of serum CLDN3. Further investigations are needed to determine whether modulation of gut barrier may represent a new therapeutic approach for psoriasis.

Tissue gene expression profiles and communication networks inform candidate blood biomarker identification in psoriasis and atopic dermatitis.

Overlapping clinical and pathomechanistic features can complicate the diagnosis and treatment of inflammatory skin diseases, including psoriasis and atopic dermatitis (AD). Spatial transcriptomics allows the identification of disease- and cell-specific molecular signatures that may advance biomarker development and future treatments. This study identified transcriptional signatures in keratinocytes and sub-basal CD4+ and CD8+ T lymphocytes from patients with psoriasis and AD. In silico prediction of ligand:receptor interactions delivered key signalling pathways (interferon, effector T cells, stroma cell and matrix biology, neuronal development, etc.). Targeted validation of selected transcripts, including CCL22, RELB, and JUND, in peripheral blood T cells suggests the chosen approach as a promising tool also in other inflammatory diseases. Psoriasis and AD are characterized by transcriptional dysregulation in T cells and keratinocytes that may be targeted therapeutically. Spatial transcriptomics is a valuable tool in the search for molecular signatures that can be used as biomarkers and/or therapeutic targets.

Fatty Acid Profile of Erythrocyte Membranes in Patients with Psoriasis.

Psoriasis is a chronic systemic disease with a multifaceted pathomechanism and immunological basis, with the presence of inflammatory skin lesions and joint ailments. Diseases accompanying psoriasis include metabolic and cardiovascular disorders. It has been suggested that inflammation is involved in the development of each of these conditions. The main objective of this study was to analyse the fatty acid profile, including polyunsaturated fatty acids, in the erythrocyte membranes of patients suffering from psoriasis. A total of 58 adult patients of the Department of Skin and Venereal Diseases of the Pomeranian Medical University in Szczecin, suffering from psoriasis, were qualified for this study. The patients had undergone an interview and physical examination, during which the severity of psoriasis was assessed. All patients had their weight and height measured to assess their body mass index (BMI). After 3 months of treatment, biochemical parameters (ALT, AST, total cholesterol) and inflammatory markers (CRP) in the blood were assessed. In addition, the isolation of fatty acids (PUFAs, SFAs, MUFAs) from erythrocyte membranes and the qualitative and quantitative analysis of their profile using a gas chromatograph were carried out. In patients with severe psoriasis requiring systemic treatment, an altered profile of fatty acids in erythrocyte membranes was found, including a significantly lower concentration of polyunsaturated fatty acids (omega-3), which have an anti-inflammatory effect; a significantly higher concentration of saturated fatty acids; and a decreased concentration of oleic acid (omega-9), compared to the results obtained in patients with less severe psoriasis receiving topical treatment. In patients with psoriasis and BMI ≥ 25, significantly higher concentrations of AST and ALT in the blood and significantly higher concentrations of pro-inflammatory arachidonic acid in erythrocyte membranes were found. Elevated concentrations of saturated (R = 0.31) and monounsaturated fatty acids (R = 0.29) may correlate with a greater severity of psoriasis.

Correlations between Gut Microbiota and Hematological, Inflammatory, Biochemical and Oxidative Stress Parameters in Treatment-Naïve Psoriasis Patients.

Psoriasis is an inflammatory dermatosis with a complex pathogenesis, significantly impacting the quality of life of patients. The role of oxidative stress and gut microbiota in the pathogenesis of this disease is increasingly studied, appearing to underlie the comorbidities associated with this condition. We present the first prospective observational study conducted in Romania evaluating the interrelationship between gut microbiota and hematological, inflammatory, biochemical, and oxidative stress parameters in treatment-naïve psoriasis patients. Significant differences were observed in terms of microbiota composition, with lower levels of Firmicutes and Enterobacteriaceae in the psoriasis group compared to the control group. Moreover, a negative correlation was found between the serum triglyceride levels in patients with psoriasis and the Enterobacteriaceae family (p = 0.018, r = -0.722), and a positive correlation was found between the serum glucose levels and the Firmicutes/Bacteroides ratio (p = 0.03, r = 0.682). Regarding the oxidant-antioxidant status, a significant correlation was found between the FORT level and Lactobacillus (p = 0.034, r = 0.669). Lastly, the Firmicutes level negatively correlated with the DLQI level, independent of the clinical severity of the disease (p = 0.02, r = -0.685). In conclusion, even though the number of included patients is small, these results may serve as a starting point for future research into the involvement of the microbiota-inflammation-oxidative stress axis in psoriasis development.

Evaluation of the Impact of Night Shift Work on Disease Severity in Psoriatic Patients: A Case-Control Study with Clinical, Hormonal, and Immunological Evaluation.

INTRODUCTION: Night shift work disrupts circadian rhythms and has been associated with immune system alterations and various health conditions. However, there is limited data regarding its impact on psoriasis. The aim of our study was to compare psoriasis severity and the hormonal and immunological profile in patients with a night shift work to those with a daytime occupation. METHODS: In this case-control study, we enrolled psoriatic patients aged >18 years engaged in night shift work and a control group of psoriatic patients with a daytime occupation. A further categorization was performed by the duration of night shift work: < or ≥7 days a month and < or ≥8 years. Disease severity was evaluated by PASI, BSA, and DLQI, and blood samples were taken to measure various hormonal and immunological markers. Univariable and multivariable analysis were performed to assess differences between the two groups. RESULTS: A total of 40 night shift workers were included, along with 36 patients in the control group. Patients who worked night shifts at least 7 days a month had significantly higher PASI scores (11.2 ± 6.6 vs. 8.5 ± 6.6; p = 0.04) and higher IL-8 serum (115.33 ± 463.65 pg/mL vs. 19.98 ± 29.78 pg/mL; p = 0.006) compared to patients who did not. Night shifts workers for at least 8 years had higher BMI (28.65 ± 4.56 vs. 25.32 ± 5.50, p = 0.010), and females had higher testosterone levels (0.46 ± 0.53 ng/mL vs. 0.23 ± 0.13 ng/mL; p = 0.055). CONCLUSION: Night shift might increase psoriasis severity and have an impact on chronic inflammation, obesity, and hormonal imbalances.

Metabolomic Alterations in Methotrexate Treatment of Moderate-to-Severe Psoriasis.

BACKGROUND Aberrant lipid metabolism alterations in skin tissue, blood, or urine have been implicated in psoriasis. Here, we examined lipid metabolites related to psoriasis and their association with the age of disease onset. MATERIAL AND METHODS Differences in lipid metabolites before and after methotrexate (MTX) treatment were evaluated. The discovery cohort and validation cohort consisted of 50 and 46 patients, respectively, with moderate-to-severe psoriasis. After MTX treatment, the patients were divided into response (Psoriasis Area and Severity Index [PASI] 75 and above) and non-response (PASI below 75) groups, blood was collected for serum metabolomics, and multivariate statistical analysis was performed. RESULTS We detected 1546 lipid metabolites. The proportion of the top 3 metabolites was as follows: triglycerides (TG, 34.8%), phospholipids (PE, 14.5%), phosphatidylcholine (PC, 12.4%); diglycerides (DG) (16: 1/18: 1), and DG (18: 1/18: 1) showed strong positive correlations with onset age. There were marked changes in TG (16: 0/18: 0/20: 0), TG (18: 0/18: 0/22: 0), TG (14: 0/18: 0/22: 0), TG (14: 0/20: 0/20: 0), lysophosphatidylcholine (LPC) (16: 0/0: 0), LPC (18: 0/0: 0), LPC (14: 0/0: 0), and LPC (18: 1/0: 0) levels before and after 12 weeks of MTX treatment. The glycerophospholipid metabolic pathway was implicated in psoriasis development. Of the 96 recruited patients, 35% were MTX responders and 65% non-responders. PE (34: 4) and PE (38: 1) levels were significantly different between the groups. Obvious differences in lipid metabolism were found between early-onset (<40 years) and late-onset (≥40 years) psoriasis. Significant changes in serum lipid profile before and after MTX treatment were observed. CONCLUSIONS The specific lipid level changes in responders may serve as an index for MTX treatment efficacy evaluation.

Exploration of circulating metabolic signature of erythrodermic psoriasis based on LC-MS metabolomics.

Erythrodermic psoriasis (EP) is a rare and life-threatening disease, the pathogenesis of which remains to be largely unknown. Metabolomics analysis can provide global information on disease pathophysiology, candidate biomarkers, and potential intervention strategies. To gain a better understanding of the mechanisms of EP and explore the serum metabolic signature of EP, we conducted an untargeted metabolomics analysis from 20 EP patients and 20 healthy controls. Furthermore, targeted metabolomics for focused metabolites were identified in the serum samples of 30 EP patients and 30 psoriasis vulgaris (PsV) patients. In the untargeted analysis, a total of 2992 molecular features were extracted from each sample, and the peak intensity of each feature was obtained. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA) revealed significant difference between groups. After screening, 98 metabolites were found to be significantly dysregulated in EP, including 67 down-regulated and 31 up-regulated. EP patients had lower levels of L-tryptophan, L-isoleucine, retinol, lysophosphatidylcholine (LPC), and higher levels of betaine and uric acid. KEGG analysis showed differential metabolites were enriched in amino acid metabolism and glycerophospholipid metabolism. The targeted metabolomics showed lower L-tryptophan in EP than PsV with significant difference and L-tryptophan levels were negatively correlated with the PASI scores. The serum metabolic signature of EP was discovered. Amino acid and glycerophospholipid metabolism were dysregulated in EP. The metabolite differences provide clues for pathogenesis of EP and they may provide insights for therapeutic interventions.

Exposure-response relationship of guselkumab and the potential of serum proteomics in identifying predictive biomarker candidates in psoriasis.

BACKGROUND: Response to biologics in psoriasis varies in real-world settings. Serum biomarkers could aid biologic selection and dose modifications to improve patient outcomes while encouraging cost-effective care. OBJECTIVES: To explore the exposure-response relationship for guselkumab (GUS), to define a GUS concentration target for optimal response and to evaluate the potential of serum protein levels as predictive biomarker candidates. METHODS: This is a prospective, multicentric, cohort study in psoriasis patients treated with GUS. Serum GUS trough concentrations (TCs) collected at multiple timepoints were measured using an in-house immunoassay. Next, proximity extension assay technology (Target 96 Inflammation Panel Olink®) was used to measure serum protein levels in a subcohort including 38 GUS patients (week 0 and week 4), six psoriasis patients naive for systemic treatment and four healthy controls. RESULTS: Seventy-five patients participated and 400 samples were collected. Guselkumab TCs and clinical response were correlated at week 4, week 12 and in steady-state (≥20 weeks). Optimal responders (Psoriasis Area and Severity Index [PASI] ≤ 2) had significantly higher TCs than suboptimal responders from week 4 onwards in treatment. An optimal steady-state TC of 1.6 µg/mL was defined. Although TC and absolute PASI were lower and worse, respectively, in patients weighing ≥90 kg, clinical outcomes referred to desirable to excellent PASI ranges. Therefore, we do not recommend systematically higher GUS doses in obese patients. We could not reveal early differentially expressed proteins to distinguish future optimal from suboptimal responders. CONCLUSIONS: We demonstrated an exposure-response relationship for GUS and an optimal steady-state TC of 1.6 µg/mL in real-world psoriasis patients. Hereby, we deliver more evidence that therapeutic drug monitoring poses a promising strategy in optimizing GUS treatment. No biomarker candidates were identified through serum proteomics. We propose protein screening should be repeated in larger cohorts to continue the quest for predictive biomarkers.

Associations of novel complete blood count-derived inflammatory markers with psoriasis: a systematic review and meta-analysis.

Psoriasis is an immune-mediated disorder which primarily affects skin and has systemic inflammatory involvement. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) are novel complete blood count (CBC)-derived markers which can reflect systemic inflammation. This study aimed to systematically investigate the associations of NLR, PLR, SII, and MLR with psoriasis. This study was performed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. A comprehensive search of Pubmed, Embase, Scopus, and Google Scholar was conducted for relevant studies. Observational studies evaluating the correlations of NLR, PLR, SII, or MLR with psoriasis were included. The primary outcomes were the associations of these inflammatory markers with the presence and severity of psoriasis. The random-effect model was applied for meta-analysis. 36 studies comprising 4794 psoriasis patients and 55,121 individuals in total were included in the meta-analysis. All inflammatory markers were significantly increased in psoriasis groups compared to healthy controls (NLR: MD = 0.59, 95% CI: 0.47-0.7; PLR: MD = 15.53, 95% CI: 8.48-22.58; SII: MD = 111.58, 95% CI: 61.49-161.68; MLR: MD = 0.034, 95% CI: 0.021-0.048; all p < 0.001). Between-group mean differences in NLR and PLR were positively correlated with the mean scores of Psoriasis Area Severity Index (NLR: p = 0.041; PLR: p = 0.021). NLR, PLR, SII, and MLR are associated with the presence of psoriasis. NLR and PLR serve as significant indicators of psoriasis severity. These novel CBC-derived markers constitute potential targets in the screening and monitoring of psoriasis.

Positive association between insulin resistance and fatty liver disease in psoriasis: evidence from a cross-sectional study.

Background: Fatty liver disease (FLD) is a common comorbidity of psoriasis and is often referred to as non-alcoholic fatty liver disease (NAFLD). However, the role of inflammation or insulin resistance (IR) in FLD is inconclusive. The study aims to explore whether FLD in psoriasis patients is more related to insulin resistance or systemic inflammation level. Methods: Data for this study were collected from the Shanghai Psoriasis Effectiveness Evaluation Cohort, a prospective cohort that examines psoriasis characteristics in the Chinese population. IR was assessed using the triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) indicators. Systemic non-specific inflammation was assessed using the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), and systemic immune inflammation index (SII). Results: The analysis included a total of 647 patients. Subsequent logistic regression analysis revealed that NLR, dNLR, and SII were not significantly associated with FLD in psoriasis patients, while TyG and TyG-BMI showed significant associations with FLD. Subgroup analysis indicated that in the majority of subgroups, TyG and TyG-BMI were significantly associated with FLD, particularly TyG-BMI. Excluding individuals with methotrexate and acitretin resulted in consistent findings with the main analysis. Further analysis revealed a significantly higher diagnosis rate of metabolic-associated fatty liver disease (MAFLD) compared to NAFLD. Conclusions: Metabolic factors play a crucial role in FLD in patients with psoriasis, and TyG and TyG-BMI are potential predictors of FLD. Therefore, MAFLD can be recommend as a term to describe FLD in psoriasis patients. Trial registration: https://www.chictr.org.cn/showproj.html?proj=58256, identifier ChiCTR2000036186. A multi-center clinical study of systemic treatment strategies for psoriasis in Chinese population. Registered 31 August 2020.