Circulating Brodalumab Levels and Therapy Outcomes in Patients With Psoriasis Treated With Brodalumab: A Case Series

Peripheral CD4+ T helper lymphocytes alterations in major depressive disorder: A systematic review and meta-analysis

Previous research has shown that patients with major depressive disorder (MDD) develop immune dysfunction. However, the exact alterations of cluster of differentiation (CD)4+ T helper (Th) lymphocytes in MDD remains unclear. This meta-analysis aimed to examine the specific changes in CD4+ Th cells. A comprehensive search of PubMed, EMBASE, Web of Science, and PsycINFO databases was conducted to identify studies investigating CD4+ Th, Th1, Th2, Th17, and T regulatory (Treg) cell counts in the peripheral blood of MDD patients and healthy controls (HCs), covering the period up to June 22, 2024. Our findings revealed that patients with MDD might exhibit higher CD4+ Th cells (SMD=0.26, 95 %CI, 0.02 to 0.50), CD4+/CD8+ cell ratios (SMD=0.51, 95 %CI, 0.14 to 0.89), Th1/Th2 cell ratios (SMD=0.15, 95 %CI, 0.01 to 0.30) and lower Th1 (SMD=-0.17, 95 %CI, -0.30 to -0.03), Th2 (SMD=-0.25, 95 %CI, -0.40 to -0.11), and Treg cells (SMD=-0.69, 95 %CI, -1.27 to -0.11). However, no significant difference was observed in terms of Th17 cells and Th17/Treg cell ratios between MDD patients and the HCs. Heterogeneity was large (I2:18.1-95.2 %), and possible sources of heterogeneity were explored (e.g., age, depression scale, country, and antidepressant use). Our findings indicate that peripheral CD4+ T cells in depressed patients exhibit features of adaptive immune dysfunction, as evidenced by increased CD4+ Th cells and CD4+/CD8+ and decreased Treg cells. These findings offer insights into the underlying mechanism of MDD.

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.

Clinical Characteristics Associated With Response to Biologics in the Treatment of Psoriasis: A Meta-analysis

Importance

Clinical characteristics associated with treatment response to biologics in patients with psoriasis have never been systematically investigated.

Objective

To evaluate the association between patient clinical characteristics and the effectiveness of biologics in treating psoriasis.

Data Sources

PubMed, Embase, and Web of Science were searched from their inception through April 2022. Studies in English language that reported response to biologic treatment at approved doses in patients with psoriasis in relation to their clinical characteristics were included. In addition, eligible studies were identified through a search of the reference lists of the included studies.

Study Selection

We only included studies that reported treatment outcomes as Psoriasis Area and Severity Index (PASI) 75 or PASI 90 after 12, 26, and/or 52 weeks of treatment. Both observational studies and randomized clinical trials (RCTs) were considered. Two independent authors conducted the screening process, and 107 studies were assessed for eligibility.

Data Extraction and Synthesis

The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were followed. Relevant data were extracted independently by 2 authors. Data were pooled using random-effects models. RCTs and observational studies were pooled in separate analyses. Data were analyzed from June 1, 2023, to August 1, 2023.

Main Outcomes and Measures

The primary outcome was PASI 90 at 26 weeks (6 months). Before data collection began, an investigation of the association between the main (and secondary) outcomes and several clinical characteristics was planned.

Results

Overall, 40 studies with a total of 21 438 patients were included. Older age (odds ratio [OR], 0.99; 95% CI, 0.98-1.00), previous exposure to biologics (OR, 0.44; 95% CI, 0.29-0.67), higher body mass index (BMI) (OR, 0.96; 95% CI, 0.94-0.99), previous smoking (OR, 0.81; 95% CI, 0.67-0.98), and current smoking (OR, 0.78; 95% CI, 0.66-0.91) were negatively associated with achieving PASI 90 at 6 months in observational studies. In RCTs, only BMI of 30 or higher was negatively associated with treatment response (PASI 90 at 3 months: OR, 0.57; 95% CI, 0.48-0.66).

Conclusions and Relevance

This meta-analysis found that patients with psoriasis who smoke or have a history of smoking, as well as those with previous exposure to biologics, older age, or higher BMI, exhibited poorer response to biologics in observational studies. However, it remains unclear whether these clinical characteristics influence treatment response differently for the different biologics available for psoriasis.

The Association between Genetics and Response to Treatment with Biologics in Patients with Psoriasis, Psoriatic Arthritis, Rheumatoid Arthritis, and Inflammatory Bowel Diseases: A Systematic Review and Meta-Analysis

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

Response to Interleukin-17A Inhibitors According to Prior Biologic Exposures: A Danish Nationwide Study

Whether response to an interleukin (IL-17) inhibitor is different in patients with previous exposure to an IL-17 inhibitor compared with patients with exposure to biologics with other cytokine targets remains to be elucidated. Therefore, the aim of this study was to  assess whether previous exposure to an IL-17A inhibitor was associated with worse response than exposure to (an)other biologic(s). All patients in the DERMBIO register treated with an IL-17A inhibitor (secukinumab or ixekizumab) were included. With an absolute Psoriasis Area and Severity Index (PASI) ≤ 2 as response, the proportion of responders treated with IL-17A inhibitors was assessed in patients previously treated with another IL-17A inhibitor and compared with patients with previous exposure to (an)other biologic(s), using a χ2 test. In total, 100, 93 and 83 patients with  previous exposure to an IL-17A inhibitor and 414, 372 and 314 patients with previous exposure to (an) other biologic(s) were assessed after 3, 6 and 12 months, respectively. No differences in the proportion of  patients achieving PASI ≤ 2 were observed between the 2 groups after 3 months (54% vs 57%, p = 0.59), 6months (70% vs 66%, p = 0.42) and 12 months (69% vs 60%, p = 0.14). In conclusion, when treating patients with IL-17A inhibitors the cytokine target of the previous biologic does not appear to affect the  response.

Biomarkers and biologics related with psoriasis and psoriatic arthritis

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

Single-Centre Real-World Study on Drug Survival and Effectiveness of Brodalumab for Treatment of Psoriasis and Psoriatic Arthritis

BACKGROUND

Clinical trials have established the efficacy of brodalumab in treatment of psoriasis and psoriatic arthritis. Real-world evidence is needed to fully evaluate the drug.

OBJECTIVE

Here we investigate drug survival and clinical effectiveness of brodalumab in patients with psoriasis and psoriatic arthritis in a real-world setting.

METHODS

This was a retrospective single-centre study enrolling patients receiving brodalumab for psoriasis at the Department of Dermatology, Aarhus University Hospital, Denmark. The primary endpoints were drug survival, reasons for discontinuation, percentage of patients achieving a Psoriasis Area and Severity Index (PASI) ≤ 2 and clinical effectiveness against psoriatic arthritis.

RESULTS

Eighty-three patients were included (mean age 49.2 ± 17.4 years, 59.0% male, 9.6% bio-naïve, mean baseline PASI 10.9 ± 6.9). Twenty-seven patients discontinued treatment primarily due to ineffectiveness and adverse events (AEs). Kaplan-Meier-estimated 1-year drug survival was 65.7%. An absolute Psoriasis Area and Severity Index (PASI) ≤ 2 was achieved by 68.2% of patients at end of follow-up, by 70.0% at weeks 12-17 and by 76.2% after 40-60 weeks of treatment. Neither drug survival nor PASI ≤ 2 was associated with baseline PASI ≥ 10, body mass index ≥ 30, previous treatment with > 2 biologics or other IL-17 inhibitors in particular (P > 0.05). Psoriatic arthritis remission or partial remission was achieved by 10 out of 18 patients with psoriatic arthritis; treatment failure was reported in 5 patients.

CONCLUSIONS

Brodalumab was effective against psoriasis and psoriatic arthritis in a real-world setting. The drug survival was lower than reported in other real-world settings.

Blocking interleukin-17 in psoriasis: Real-world experience from the PsoPlus cohort

BACKGROUND

Real-world studies on the use of biologics in psoriasis (Pso) are increasing, but still scarce. Trough concentrations (C_t s) of interleukin-17 inhibitors (IL-17i) seem promising for clinical decision-making, but their value in daily practice has yet to be proven.

OBJECTIVES

To report on IL-17i effectiveness, treatment modifications and C_t use in our clinic.

METHODS

Data were collected from IL-17i-treated Pso patients followed up in the PsoPlus clinic at the Dermatology department, Ghent University Hospital, Belgium. Descriptive statistics and Kaplan-Meier analysis were performed.

RESULTS

A total of 111 patients were included, counting for 134 IL-17i courses (secukinumab, ixekizumab, and brodalumab). Fifty-five per cent of the patients were bio-naive prior to IL-17i initiation. During maintenance, merely 97.0% and 77% achieved near-complete and complete skin clearance, respectively. Major reasons for treatment modification were suboptimal response (63.0%) and safety issues (9.3%). Reported modifications were switch (25.4%), dose escalation (11.9%), dose de-escalation (6.7%), treatment association (6.0%) and IL-17i stop (3.0%). Overall drug survival was 69.0 months, without difference between the different IL-17i (p = 0.078). Ixekizumab tended to have the highest survival. Drug survival was higher in bio-naive subjects compared to bio-experienced subjects (p = 0.011). C_t was measured in 20 patients and interpreted post hoc. In 85%, the clinical decision was in accordance with the C_t (e.g. substantiated need for dose escalation). For the other cases, the C_t would have led to another clinical decision if known at that time.

CONCLUSIONS

This real-world study showed that IL-17i are very effective drugs for Pso, with ixekizumab as leading biologic. Prior bio-experience seemed to impact IL-17i drug survival. Treatment modifications were mainly performed in case of insufficient response, primarily via switch and dose escalation, and least frequently in ixekizumab patients. C_t might rationalize clinical decision-making; however, there is need for standardized algorithms to corroborate its use.

Th17 cells and inflammation in neurological disorders: Possible mechanisms of action

Neurological disorders (NDs) are one of the leading causes of global death. A sustained neuroinflammatory response has been reported to be associated with the pathogenesis of multiple NDs, including Parkinson’s disease (PD), multiple sclerosis (MS), Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), and major depressive disorder (MDD). Accumulating evidence shows that the recruitment of abundant lymphocytes in the central nervous system may contribute to promoting the development and progress of inflammation in neurological disorders. As one subset of T lymphocytes, CD4⁺ T cells have a critical impact on the inflammation of neurological disorders. T helper (Th) 17 is one of the most studied CD4⁺ Th subpopulations that produces cytokines (e.g., IL-17A, IL-23, IL-21, IL-6, and IFN-γ), leading to the abnormal neuroinflammatory response including the excessive activation of microglia and the recruitment of other immune cell types. All these factors are involved in several neurological disorders. However, the possible mechanisms of Th17 cells and their associated cytokines in the immunopathology of the abovementioned neurological disorders have not been clarified completely. This review will summarize the mechanisms by which encephalitogenic inflammatory Th17 cells and their related cytokines strongly contribute to chronic neuroinflammation, thus perpetuating neurodegenerative processes in NDs. Finally, the potential therapeutic prospects of Th17 cells and their cytokines in NDs will also be discussed.