Serum uric acid levels and hyperuricemia in patients with psoriasis: a hospital-based cross-sectional study

Real-world biologic treatment patterns and healthcare resource utilization in psoriasis patients using an insurance claims database in Japan

BACKGROUND

With advent of newer treatments for psoriasis, real-world use of biologics in Japan is evolving.

METHODS

This retrospective study utilized data from patients with ≥1 psoriasis-related biologic claims record between January 2016 and December 2020 in Japan to evaluate treatment patterns, healthcare resource utilization (HCRU), and associated costs. Data were analyzed using descriptive statistics.

RESULTS

Of 1,614 eligible patients, 72.5% were male, 29.2% had comorbid hypertension and 26.6% had comorbid cardiovascular disease. Interleukin (IL)-17 and tumor necrosis factor alpha (TNFα) inhibitors were commonly prescribed across lines of treatment, while IL-23 inhibitors were most considered for switches (92% of switches were from IL-12/23/IL-17/TNFα inhibitors). The overall mean adherence rate for all classes was 80.1%, but adherence varied across biologics. Infliximab and IL-23 inhibitor users exhibited optimal medical possession ratios, reflecting the best adherence rates. Overall HCRU (visits/patient-year) was 9.05 for outpatient visits, 0.09 for inpatient hospitalization, and 0.5 for psoriasis-related phototherapy. HCRU associated with hospitalization was slightly higher for bio-experienced patients and so was the overall costs per patient-year relative to bio-naïve patients.

CONCLUSION

Variable adherence rates observed suggest the need for improvement in treatment management with different biologics. Bio-experienced patients burdened by disease progression and treatment switches may result in increased HCRU.

Does biological agent treatment have an impact on serum uric acid levels in patients with psoriasis?

OBJECTIVE

High serum uric acid levels have been associated with psoriasis as well as cardiovascular diseases and metabolic syndrome. The aim of this study was to evaluate the effect of biologic agent treatment on serum uric acid levels in patients with psoriasis.

METHODS

Between April 2019 and September 2022, serum uric acid levels were retrospectively evaluated in patients with psoriasis before and 3 months after biologic agent treatment.

RESULTS

This study included 224 patients, 100 females and 124 males, who were treated with TNF-α, IL-17, IL-12/23, and IL-23 inhibitors. Uric acid levels were significantly higher in men compared to women (p < 0.001), higher in overweight and obese patients compared to those with normal weight (p = 0.004), and higher in patients with severe versus mild psoriasis (p = 0.028). The mean serum uric acid level decreased significantly from 5.89 ± 1.53 mg/dL to 5.41 ± 1.39 mg/dL in all patients 3 months after biological agent treatment (p < 0.001). A statistically significant decrease in serum uric acid levels was detected in patients treated with adalimumab (p < 0.001), infliximab (p = 0.002), ixekizumab (p = 0.001), secukinumab (p = 0.012), and ustekinumab (p < 0.001).

CONCLUSIONS

Since high serum uric acid levels have been associated with increased risk for cardiovascular diseases and metabolic syndrome, treatment of psoriasis with adalimumab, infliximab, ixekizumab, secukinumab, and ustekinumab may have a positive impact on cardiometabolic comorbidities.

Genetic and Epigenetic Regulation of the Innate Immune Response to Gout

Gout is a disease caused by uric acid (UA) accumulation in the joints, causing inflammation. Two UA forms - monosodium urate (MSU) and soluble uric acid (sUA) have been shown to interact physically with inflammasomes, especially with the nod-like receptor (NLR) family pyrin domain containing 3 (NLRP3), albeit the role of the immune response to UA is poorly understood, given that asymptomatic hyperuricemia does also exist. Macrophage phagocytosis of UA activate NLRP3, lead to cytokines release, and ultimately, lead to chemoattract neutrophils and lymphocytes to the gout flare joint spot. Genetic variants of inflammasome genes and of genes encoding their molecular partners may influence hyperuricemia and gout susceptibility, while also influencing other comorbidities such as metabolic syndrome and cardiovascular diseases. In this review, we summarize the inflammatory responses in acute and chronic gout, specifically focusing on innate immune cell mechanisms and genetic and epigenetic characteristics of participating molecules. Unprecedently, a novel UA binding protein - the neuronal apoptosis inhibitor protein (NAIP) - is suggested as responsible for the asymptomatic hyperuricemia paradox.Abbreviation: β2-integrins: leukocyte-specific adhesion molecules; ABCG2: ATP-binding cassete family/breast cancer-resistant protein; ACR: American college of rheumatology; AIM2: absent in melanoma 2, type of pattern recognition receptor; ALPK1: alpha-protein kinase 1; ANGPTL2: angiopoietin-like protein 2; ASC: apoptosis-associated speck-like protein; BIR: baculovirus inhibitor of apoptosis protein repeat; BIRC1: baculovirus IAP repeat-containing protein 1; BIRC2: baculoviral IAP repeat-containing protein 2; C5a: complement anaphylatoxin; cAMP: cyclic adenosine monophosphate; CARD: caspase activation and recruitment domains; CARD8: caspase recruitment domain-containing protein 8; CASP1: caspase 1; CCL3: chemokine (C-C motif) ligand 3; CD14: cluster of differentiation 14; CD44: cluster of differentiation 44; Cg05102552: DNA-methylation site, usually cytosine followed by guanine nucleotides; contains arbitrary identification code; CIDEC: cell death-inducing DNA fragmentation factor-like effector family; CKD: chronic kidney disease; CNV: copy number variation; CPT1A: carnitine palmitoyl transferase - type 1a; CXCL1: chemokine (CXC motif) ligand 1; DAMPs: damage associated molecular patterns; DC: dendritic cells; DNMT(1): maintenance DNA methyltransferase; eQTL: expression quantitative trait loci; ERK1: extracellular signal-regulated kinase 1; ERK2: extracellular signal-regulated kinase 2; EULAR: European league against rheumatism; GMCSF: granulocyte-macrophage colony-stimulating factor; GWAS: global wide association studies; H3K27me3: tri-methylation at the 27th lysine residue of the histone h3 protein; H3K4me1: mono-methylation at the 4th lysine residue of the histone h3 protein; H3K4me3: tri-methylation at the 4th lysine residue of the histone h3 protein; HOTAIR: human gene located between hoxc11 and hoxc12 on chromosome 12; IκBα: cytoplasmatic protein/Nf-κb transcription inhibitor; IAP: inhibitory apoptosis protein; IFNγ: interferon gamma; IL-1β: interleukin 1 beta; IL-12: interleukin 12; IL-17: interleukin 17; IL18: interleukin 18; IL1R1: interleukin-1 receptor; IL-1Ra: interleukin-1 receptor antagonist; IL-22: interleukin 22; IL-23: interleukin 23; IL23R: interleukin 23 receptor; IL-33: interleukin 33; IL-6: interleukin 6; IMP: inosine monophosphate; INSIG1: insulin-induced gene 1; JNK1: c-jun n-terminal kinase 1; lncRNA: long non-coding ribonucleic acid; LRR: leucine-rich repeats; miR: mature non-coding microRNAs measuring from 20 to 24 nucleotides, animal origin; miR-1: miR followed by arbitrary identification code; miR-145: miR followed by arbitrary identification code; miR-146a: miR followed by arbitrary identification code, "a" stands for mir family; "a" family presents similar mir sequence to "b" family, but different precursors; miR-20b: miR followed by arbitrary identification code; "b" stands for mir family; "b" family presents similar mir sequence to "a" family, but different precursors; miR-221: miR - followed by arbitrary identification code; miR-221-5p: miR followed by arbitrary identification code; "5p" indicates different mature miRNAs generated from the 5' arm of the pre-miRNA hairpin; miR-223: miR followed by arbitrary identification code; miR-223-3p: mir followed by arbitrary identification code; "3p" indicates different mature miRNAs generated from the 3' arm of the pre-miRNA hairpin; miR-22-3p: miR followed by arbitrary identification code, "3p" indicates different mature miRNAs generated from the 3' arm of the pre-miRNA hairpin; MLKL: mixed lineage kinase domain-like pseudo kinase; MM2P: inductor of m2-macrophage polarization; MSU: monosodium urate; mTOR: mammalian target of rapamycin; MyD88: myeloid differentiation primary response 88; n-3-PUFAs: n-3-polyunsaturated fatty-acids; NACHT: acronym for NAIP (neuronal apoptosis inhibitor protein), C2TA (MHC class 2 transcription activator), HET-E (incompatibility locus protein from podospora anserina) and TP1 (telomerase-associated protein); NAIP: neuronal apoptosis inhibitory protein (human); Naip1: neuronal apoptosis inhibitory protein type 1 (murine); Naip5: neuronal apoptosis inhibitory protein type 5 (murine); Naip6: neuronal apoptosis inhibitory protein type 6 (murine); NBD: nucleotide-binding domain; Nek7: smallest NIMA-related kinase; NET: neutrophil extracellular traps; Nf-κB: nuclear factor kappa-light-chain-enhancer of activated b cells; NFIL3: nuclear-factor, interleukin 3 regulated protein; NIIMA: network of immunity in infection, malignancy, and autoimmunity; NLR: nod-like receptor; NLRA: nod-like receptor NLRA containing acidic domain; NLRB: nod-like receptor NLRA containing BIR domain; NLRC: nod-like receptor NLRA containing CARD domain; NLRC4: nod-like receptor family CARD domain containing 4; NLRP: nod-like receptor NLRA containing PYD domain; NLRP1: nucleotide-binding oligomerization domain, leucine-rich repeat, and pyrin domain containing 1; NLRP12: nucleotide-binding oligomerization domain, leucine-rich repeat, and pyrin domain containing 12; NLRP3: nod-like receptor family pyrin domain containing 3; NOD2: nucleotide-binding oligomerization domain; NRBP1: nuclear receptor-binding protein; Nrf2: nuclear factor erythroid 2-related factor 2; OR: odds ratio; P2X: group of membrane ion channels activated by the binding of extracellular; P2X7: p2x purinoceptor 7 gene; p38: member of the mitogen-activated protein kinase family; PAMPs: pathogen associated molecular patters; PBMC: peripheral blood mononuclear cells; PGGT1B: geranylgeranyl transferase type-1 subunit beta; PHGDH: phosphoglycerate dehydrogenase; PI3-K: phospho-inositol; PPARγ: peroxisome proliferator-activated receptor gamma; PPARGC1B: peroxisome proliferative activated receptor, gamma, coactivator 1 beta; PR3: proteinase 3 antigen; Pro-CASP1: inactive precursor of caspase 1; Pro-IL1β: inactive precursor of interleukin 1 beta; PRR: pattern recognition receptors; PYD: pyrin domain; RAPTOR: regulatory associated protein of mTOR complex 1; RAS: renin-angiotensin system; REDD1: regulated in DNA damage and development 1; ROS: reactive oxygen species; rs000*G: single nuclear polymorphism, "*G" is related to snp where replaced nucleotide is guanine, usually preceded by an id number; SLC2A9: solute carrier family 2, member 9; SLC7A11: solute carrier family 7, member 11; SMA: smooth muscular atrophy; Smac: second mitochondrial-derived activator of caspases; SNP: single nuclear polymorphism; Sp3: specificity protein 3; ST2: serum stimulation-2; STK11: serine/threonine kinase 11; sUA: soluble uric acid; Syk: spleen tyrosine kinase; TAK1: transforming growth factor beta activated kinase; Th1: type 1 helper T cells; Th17: type 17 helper T cells; Th2: type 2 helper T cells; Th22: type 22 helper T cells; TLR: tool-like receptor; TLR2: toll-like receptor 2; TLR4: toll-like receptor 4; TNFα: tumor necrosis factor alpha; TNFR1: tumor necrosis factor receptor 1; TNFR2: tumor necrosis factor receptor 2; UA: uric acid; UBAP1: ubiquitin associated protein; ULT: urate-lowering therapy; URAT1: urate transporter 1; VDAC1: voltage-dependent anion-selective channel 1.

Effects of secukinumab and adalimumab on serum uric acid level in patients with plaque psoriasis

BACKGROUND

Psoriasis is a chronic systemic inflammatory disease, and hyperuricemia is a common comorbidity in patients with psoriasis. However, there are limited reports on the relationship between serum uric acid levels and biological treatment efficacy. The purposes of this study were to compare the differences in serum uric acid levels between patients with psoriasis and healthy controls and analyze the risk of hyperuricemia.

METHODS

A total of 196 patients with psoriasis and 191 age- and sex-matched healthy controls were enrolled in this retrospective cohort study. One hundred and twenty-seven patients with severe psoriasis were treated with biologics. Sixty-eight patients received adalimumab, and 59 patients received secukinumab. Serum uric acid levels were measured at baseline, week 24, and week 48 of treatment.

RESULTS

Patients with psoriasis had higher serum uric acid levels than healthy controls (6.4 ± 1.7 mg/dL vs. 5.7 ± 1.5 mg/dL, P  < 0.001). Hyperuricemia was found in 33.7% (66/196) of patients with psoriasis, which was significantly higher than that in healthy controls (13.1% [25/191], P  < 0.001). Serum uric acid levels and hyperuricemia were not related to the severity of psoriasis ( P  > 0.05). No significant changes in serum uric acid levels and hyperuricemia were observed following adalimumab treatment ( P  > 0.05). The serum uric acid level in patients treated with secukinumab was 6.7 ± 1.6 mg/dL at week 24, which was not statistically different from that at baseline (6.6 ± 1.4 mg/dL, P  = 0.885). Serum uric acid levels were significantly decreased at week 48 (6.3 ± 1.5 mg/dL vs. 6.6 ± 1.4 mg/dL, P  = 0.007) in patients treated with secukinumab. Secukinumab had no significant effect on hyperuricemia either ( P  > 0.05).

CONCLUSIONS

The serum uric acid levels and prevalence of hyperuricemia in patients with psoriasis were significantly higher than those in healthy controls. Secukinumab treatment for 48 weeks successfully decreased serum uric acid levels in patients with psoriasis, whereas adalimumab had no significant effect on serum uric acid levels.

Hyperuricemia in Psoriatic Arthritis: Epidemiology, Pathophysiology, and Clinical Implications

Psoriatic arthritis (PsA) represents the articular component of the systemic psoriatic disease and the extra-cutaneous disorder most frequently found in patients with psoriasis. Besides the articular involvement, PsA is associated with several metabolic abnormalities such as insulin resistance, hypertension, diabetes and hyperuricemia. Uric acid is the final product of purine metabolism and the etiological substrate of gout. Accumulating evidence highlights the emerging role of hyperuricemia as a major cardiovascular risk factor. Moreover, different studies evaluated the interplay between hyperuricemia and psoriatic disease, suggesting that individuals affected by psoriasis or PsA might present higher serum levels of uric acid and that hyperuricemia might affect severity of clinical manifestations and degree of inflammation in PsA patients. In this review, we focus on the bidirectional relationship between uric acid and PsA, analyzing how uric acid may be involved in the pathogenesis of psoriasis/PsA and how clinical manifestations of PsA and inflammatory mediators are affected by uric acid concentrations. Finally, the effects of anti-rheumatic drugs on uric acid levels and the potential benefit of urate-lowering therapies on psoriasis and PsA were summarized.

Does Disease Activity Influence the Levels of Uric Acid in Psoriatic Arthritis?

Background:

Hyperuricemia is not only associated with the development of gout but also with renal and vascular dysfunction. The prevalence of this condition has already been studied in psoriasis, but there are a few studies that have been carried out in psoriatic arthritis (PsA). Some studies have shown an association with metabolic syndrome, while others with the extent of cutaneous involvement, but there are no studies that have evaluated the disease activity with compound indexes.

Objective:

The aim of the study was to determine if disease activity, measured by different composite scores, influences the levels of uric acid.

Method:

This was a cross-sectional, observational study, which included 52 PsA patients. Clinical assessments included dactylitis, tender and swollen joint counts, Psoriasis Area and Severity Index, Leeds Enthesis Index, Minimal Disease Activity and Disease Activity for Psoriatic Arthritis. Hyperuricemia was defined as serum uric acid levels ≥ 6mg/dL in females and ≥ 7mg/dL in males.

Results:

Among the 52 included patients, 55.76% were female. The mean age was 54.9 ± 11.6 years. Hyperuricemia occurred in 26.92%. Demographic data, diet, comorbidities and medication were similar between patients with and without hyperuricemia. Patients with hyperuricemia had higher waist circumference (p <0.0046). There was no difference in disease activity between groups, either in the isolated items or in the composite indexes. There was a significant difference in uric acid levels according to the classification of chronic kidney disease by estimated glomerular filtration rate (p=0.0016). Individuals using leflunomide had significantly lower levels of uric acid than those who were not using (p=0.0071).

Conclusion:

This study supports the notion that, in PsA, hyperuricemia is more related to metabolic factors than to disease activity.

Updated Evidence of the Association Between Elevated Serum Uric Acid Level and Psoriasis

Background: Our earlier meta-analysis showed that the correlation between psoriasis and hyperuricemia might be region-dependent and that hyperuricemia was more common in patients with psoriasis in Western Europe. However, no further analysis could be conducted owing to the scarcity of data. Objective: Our study aimed to further explore the association between psoriasis and hyperuricemia. Methods: Six databases (PubMed, Embase, the Cochrane Central Register of Controlled Trials, the China National Knowledge Infrastructure database, the Chinese Scientific Journals Full Text Database, and the Wanfang Data Knowledge Service Platform) were searched for studies published between January 1980 and February 2021. Results: The search strategy yielded 291 relevant studies, of which 27 observational studies were included in this analysis. Serum uric acid (SUA) levels (mean difference [MD] 0.99, 95% confidence interval [CI] 0.48-1.49, P = 0.0001) and hyperuricemia frequency (odds ratio [OR] 5.39, 95% CI 1.88-15.40, P = 0.002) were higher in the psoriasis group than in the control group, and the subgroup differences were significant. In addition, SUA levels were significantly higher in patients with moderate to severe psoriasis from European and American countries (MD 0.89, 95% CI 0.18-1.60, P = 0.01) and Southeast Asia (MD 1.79, 95% CI 0.55-3.02, P = 0.004), while no significant differences were found between the Middle East subgroup (MD 0.63, 95% CI -0.33 to 1.59, P = 0.20). Similar results were obtained from the meta-analysis of SUA levels in patients with metabolic syndrome, obesity, or a special type of psoriasis (such as arthritic or erythrodermic psoriasis). Conclusions: Our meta-analysis study provides extended data regarding the correlation between psoriasis and hyperuricemia and the differences in SUA levels between psoriasis patients and controls in Southeast Asia, the Middle East, and European and American countries. Patients with moderate to severe psoriasis in European and American countries and Southeast Asia or those with metabolic syndrome and obesity were more likely to have higher uric acid levels. Systematic Review Registration: PROSPERO, identifier: CRD42014015091.

Gout

Gout is a common and treatable disease caused by the deposition of monosodium urate crystals in articular and non-articular structures. Increased concentration of serum urate (hyperuricaemia) is the most important risk factor for the development of gout. Serum urate is regulated by urate transporters in the kidney and gut, particularly GLUT9 (SLC2A9), URAT1 (SLC22A12), and ABCG2. Activation of the NLRP3 inflammasome by monosodium urate crystals with release of IL-1β plays a major role in the initiation of the gout flare; aggregated neutrophil extracellular traps are important in the resolution phase. Although presenting as an intermittent flaring condition, gout is a chronic disease. Long-term urate lowering therapy (eg, allopurinol) leads to the dissolution of monosodium urate crystals, ultimately resulting in the prevention of gout flares and tophi and in improved quality of life. Strategies such as nurse-led care are effective in delivering high-quality gout care and lead to major improvements in patient outcomes.

Evaluation of serum uric acid levels in patients with rosacea

Rosacea is an inflammatory skin disease with a chronic course. Although the pathogenesis of rosacea is not completely understood, it is regarded as an inflammatory process. The aim of the present study was to evaluate uric acid (UA) levels in patients with rosacea and to detect the correlation of UA levels with disease activity. A total of 61 patients with rosacea and 64 sex- and age-matched controls were included in the study. Demographic characteristics, medical history, and dermatological examination of the patient and control groups were recorded. Concentrations of serum UA and C-reactive protein (CRP) were evaluated and compared in both groups. This study included 61 patients with rosacea (39 females, 22 males, median age = 30 years) and 64 age- and sex-matched controls. Metabolic syndrome was significantly more common in patients with rosacea than in the control group. Patients with rosacea had significantly higher body mass index (BMI) values compared with those of controls. Serum UA and CRP values were significantly higher in the rosacea group than values in the control group. There was no statistically significant correlation between serum UA level and clinical rosacea severity. This study suggests that rosacea is not only a skin-related disease but also an inflammatory disease that can be related to higher uric acid levels, BMI values, and metabolic syndrome. It may be recommended that clinicians pay careful attention to the clinical follow-up of these patients to avoid missed associated comorbidities.

The association of serum uric acid levels in psoriasis patients: A systematic review and network meta-analysis

BACKGROUND

Current research has proved that psoriasis is associated with serum uric acid (SUAC) levels. Our purpose is to clarify SUAC levels and the incidence of hyperuricemia in psoriasis patients, and to compare SUCA levels in different groups' psoriasis patients.

METHODS

We plan to search 7 electronic bibliographic databases (PubMed, Embase, Cochrane, and 4 Chinese databases) from inception to August 2019. Literatures selection and data collection will be performed independently by 2 authors. The Newcastle-Ottawa scale will be used to assess the methodologic quality and bias of included studies. Firstly, standard pairwise meta-analysis will be used to examine the considered data synthesis. Secondly, if the identified studies appear sufficiently similar within and across the different comparisons between different groups of psoriasis patients, we will estimate SUAC levels using network meta-analysis in different age and ethnicity psoriasis patients. Mean difference, risk ratio, and 95% confidence intervals will be used to assess the SUAC levels and the incidence of hyperuricemia in psoriasis patients. The software of Stata and WinBUGS will be used to calculations.

RESULTS

The results will be published in a peer-reviewed journal.

CONCLUSION

Our study will compare SUCA levels in different groups' psoriasis patients through network meta-analysis, and we believe our job is very meaningful.

ETHICS AND DISSEMINATION

Our study is a secondary study of the existing literature. So, ethical and dissemination approval is not required.