Population Pharmacokinetics and Immunogenicity of Adalimumab in Adult Patients with Moderate-to-Severe Hidradenitis Suppurativa

Impact of Chronic Inflammatory Diseases on Clinical Pharmacokinetics of Antibody-Based Therapeutic Proteins

Antibody-based therapeutic proteins (TPs) emerged as a promising therapeutic modality for chronic inflammatory diseases. During clinical development, the impact of disease on pharmacokinetics (PK) should be carefully considered to reliably extrapolate PK from healthy volunteers (HVs) in early-phase studies to patients in later-phase studies. This paper aimed to provide an overview of the impact of chronic inflammatory diseases on the PK of antibody-based TPs. A literature search was conducted on Drugs@FDA and PubMed, yielding 30 TPs with author-drawn conclusions about PK differences between HVs and patients with inflammatory diseases. Nine out of 30 TPs suggested PK differences in patients with inflammatory diseases compared with HVs, and patients mostly appeared to have higher drug clearance or lower drug exposure compared with HVs. However, the remaining 21 TPs appeared to have no apparent PK differences between patients and HVs. Based on ratios of reported drug clearance in patients vs. HVs (N: 31 ratios for 22 TPs), the difference in TP clearance due to inflammatory diseases did not exceed twofold (mean clearance ratio: 1.23; standard deviation: 0.25), with the most noticeable difference (>50% higher clearance) observed in patients with inflammatory bowel diseases and rheumatoid arthritis. Covariate assessment in published population PK models of TPs revealed that higher baseline C-reactive proteins and lower baseline albumin levels tend to be correlated with higher TP clearance. Future investigation is necessary to further elucidate the mechanism behind the inflammatory disease-mediated PK differences.

Factors associated with therapeutic response to adalimumab in hidradenitis suppurativa: evidence from the Belgian patients of the European Registry for Hidradenitis Suppurativa (ERHS-Be)

Hidradenitis suppurativa is an inflammatory skin disease for which adalimumab is an effective treatment in just over half of cases. Few factors associated with therapeutic response, and therefore potentially predictive of response, are known to date. This real-life study retrospectively explores the existence of such factors in a Belgian cohort of 82 patients, using several response scores: the Hidradenitis Suppurativa Clinical Response (HiSCR), the International Hidradenitis Suppurativa Severity Scoring System-55 (iHS4-55), and the dynamic metascore (a combination of the Hurley score, the 2007 version of the Sartorius score, the iHS4 and the HiSCR). Among the factors associated with a good therapeutic response, we find, for example, the "Frictional furunculoid" and "Conglobata" phenotypes, in contrast to the "Scarring folliculitis" phenotype, which is associated with a poorer response to treatment. Other factors associated with a good response to treatment were observed, such as the patient's description of longer flares, or, among others, the presence of inflammatory bowel disease. Subject to our sample size, the window of opportunity for adalimumab, whereby the treatment would be more effective if administered earlier, was not found in this study.

Population Pharmacokinetics of Adalimumab in Juvenile Idiopathic Arthritis Patients: A Retrospective Cohort Study Using Clinical Care Data

BACKGROUND AND OBJECTIVE

Juvenile idiopathic arthritis (JIA) is a chronic autoimmune disorder that primarily affects the joints in children. Notably, it is known to co-occur with uveitis. Adalimumab, a monoclonal anti-TNF antibody, is effective in treating both conditions. A deeper understanding of the pharmacokinetics (PK) of adalimumab in JIA is crucial to advance in more personalized treatment approaches. The objective of this study is to evaluate the population PK profile of adalimumab in JIA and to explain causes for its variability.

MATERIALS AND METHODS

Adalimumab and antidrug antibody concentrations were retrospectively retrieved from the charts of patients with JIA. Initially, five literature-based population PK models of adalimumab were evaluated to assess their ability to describe the observed concentration-time profiles in the JIA cohort. These models included one specifically for the pediatric Crohn's disease population and four derived from studies in adult populations in healthy subjects and rheumatoid arthritis patients. Subsequently, a novel population PK model tailored to the JIA population was developed using NONMEM software. Monte Carlo simulations were then conducted utilizing the final PK model to visualize the concentration-time profile of adalimumab in patients with JIA and the impact of covariates.

RESULTS

A cohort of 50 patients with JIA with 78 available adalimumab samples was assessed. The mean age was 11.8 ± 3.9 years, with a median body weight of 49 kg (interquartile range 29.4-59.8 kg). All literature models adequately described the concentration-time profiles in JIA. The best model, which was developed in patients with rheumatoid arthritis during the maintenance phase of treatment, served as a basis for estimating clearance in JIA, resulting in a value of 0.37 L per day per 70 kg. Patient body weight, antidrug antibodies, methotrexate use, CRP level, and comorbidity of uveitis were found to have a significant impact on adalimumab clearance, and these reduced the inter-patient variability from 58.6 to 28.0%. On steady state in the simulated patient population, the mean trough level was 7.4 ± 5.5 mg/L. The two dosing regimens of 20 and 40 mg every other week, based on patients' body weight, resulted in comparable simulated overall drug exposure.

CONCLUSIONS

Five literature models effectively described adalimumab PK in this pediatric cohort, highlighting the potential for extrapolating existing models to the pediatric population. The new JIA model confirmed the effect of several known covariates and found a novel association for drug clearance with methotrexate use (lower) and uveitis (higher), which might have clinical relevance for personalized dosing in JIA.

Quantifying the Effect of Methotrexate on Adalimumab Response in Psoriasis by Pharmacokinetic-Pharmacodynamic Modeling

Previously, we showed that the combination of methotrexate and adalimumab treatment leads to less antidrug antibody development. In this study, we quantify the pharmacokinetics/pharmacodynamics (PK/PD) of adalimumab and evaluate the influence of methotrexate cotreatment. A population PK-PD model was developed using prospective data from 59 patients with psoriasis (baseline PASI = 12.6) receiving adalimumab over 49 weeks. Typical PK and PD parameters and their corresponding interpatient variability were estimated. We performed a covariate analysis to assess whether interpatient variability could be explained by addition of methotrexate and other covariates. In total, 330 PASIs, 252 adalimumab serum concentrations, and 247 antidrug antibody titers were available. Presence of antidrug antibodies (adalimumab group = 46.7%, adalimumab + methotrexate group = 38.7%; P = .031) was correlated with increased adalimumab apparent clearance (P < .001). In the PD model, the use of concomitant methotrexate was borderline to significantly correlated with a decreased half-maximal inhibitory concentration (adalimumab concentration for which clinical response score is reduced by half; P < .10). On the basis of our PK-PD model, concomitant use of methotrexate indirectly increases adalimumab concentration, partially through less antidrug antibodies formation, which may result in better efficacy.

Characterization of anti-drug antibody dynamics using a bivariate mixed hidden-markov model by nonlinear-mixed effects approach

Biological therapies may act as immunogenic triggers leading to the formation of anti-drug antibodies (ADAs). Population pharmacokinetic (PK) models can be used to characterize the relationship between ADA and drug disposition but often rely on the ADA bioassay results, which may not be sufficiently sensitive to inform on this characterization.In this work, a methodology that could help to further elucidate the underlying ADA production and impact on the drug disposition was explored. A mixed hidden-Markov model (MHMM) was developed to characterize the underlying (hidden) formation of ADA against the biologic, using certolizumab pegol (CZP), as a test drug. CZP is a PEGylated Fc free TNF-inhibitor used in the treatment of rheumatoid arthritis and other chronic inflammatory diseases.The bivariate MHMM used information from plasma drug concentrations and ADA measurements, from six clinical studies (n = 845), that were correlated through a bivariate Gaussian function to infer about two hidden states; production and no-production of ADA influencing PK. Estimation of inter-individual variability was not supported in this case. Parameters associated with the observed part of the model were reasonably well estimated while parameters associated with the hidden part were less precise. Individual state sequences obtained using a Viterbi algorithm suggested that the model was able to determine the start of ADA production for each individual, being a more assay-independent methodology than traditional population PK. The model serves as a basis for identification of covariates influencing the ADA formation, and thus has the potential to identify aspects that minimize its impact on PK and/or efficacy.

Evaluation of Truncated AUC as an Alternative Measure to Assess Pharmacokinetic Comparability in Bridging Biologic-Device Using Prefilled Syringes and Autoinjectors

Pharmacokinetic (PK) comparisons between therapeutic biologics have largely been based on the total area under the concentration-time curve (AUC) and the maximum concentration (Cmax ). For biologics with a long half-life, a PK comparability study may be long in duration and costly to conduct. The goal of this study was to evaluate whether a truncated AUC (tAUC) can be used to assess PK comparability when bridging prefilled syringe (PFS) and autoinjector (AI) treatment options for biologics with a long half-life. Fifteen biologics license applications (BLAs) were included to determine the concordance and geometric percent coefficient of variation (%CV) between tAUCs evaluated on days 7, 14, 21, and 28 and AUC evaluated to infinity (AUC0-inf ). Concordance is established if the tAUCs are comparable with AUC0-inf . Trial simulation was performed to examine the effect of the absorption rate constant (ka ) and sample size on the concordance of tAUCs. The tAUCs evaluated on day 14, 21, and 28 had 100% concordance with AUC0-inf for all 15 BLAs. The concordance of tAUC evaluated at day 7 was 87.5%. Based on the trial simulation, tAUC evaluated to day 28 post-dose can achieve high concordance (≥85%) for biologics exhibiting linear or nonlinear elimination with a ka of ≥0.1/day and with a sample size of 70 subjects per arm. tAUC appears to be a promising alternative PK measure, relative to AUC0-inf , for PK comparability assessments.

Guselkumab for the treatment of patients with moderate-to-severe hidradenitis suppurativa: A phase 2 randomized study

BACKGROUND

Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition that causes substantial physical, emotional and psychological burdens. Guselkumab, a monoclonal antibody that binds to the p19 subunit of interleukin-23, has demonstrated high levels of efficacy in the treatment of inflammatory diseases, including psoriasis and psoriatic arthritis.

OBJECTIVE

To evaluate the effect of guselkumab on the treatment of HS, a phase 2, multicentre, randomized, placebo-controlled, double-blind, proof-of-concept study was conducted.

METHODS

Patients ≥18 years of age with moderate-to-severe HS for ≥1 year were randomized to (1) guselkumab 200 mg by subcutaneous (SC) injection every 4 weeks (q4w) through Week 36 (guselkumab SC); (2) guselkumab 1200 mg intravenously (IV) q4w for 12 weeks, then switched to guselkumab 200 mg SC q4w from Weeks 12 through 36 (guselkumab IV); or (3) placebo for 12 weeks, with re-randomization to guselkumab 200 mg SC q4w at Weeks 16 through 36 (placebo → guselkumab 200 mg) or guselkumab 100 mg SC at Weeks 16, 20, 28 and 36 and placebo at Weeks 24 and 32 (placebo → guselkumab 100 mg). End points included HS clinical response (HiSCR) and patient-reported outcomes.

RESULTS

Although guselkumab SC or guselkumab IV resulted in numerically higher HiSCR versus placebo at Week 16 (50.8%, 45.0%, 38.7%, respectively), statistical significance was not achieved. Numerically greater improvements in patient-reported outcomes were also observed for guselkumab SC and guselkumab IV versus placebo at Week 16. Through Week 40, no clear differences to suggest a dose response were observed for HiSCR and patient-reported outcomes.

CONCLUSIONS

Despite modest improvements, the primary end point was not met and the overall findings do not support the efficacy of guselkumab in the treatment of HS.

CLINICALTRIALS

gov: NCT03628924.

GP2017-HCF, a high concentration formulation, demonstrates similar pharmacokinetics, immunogenicity and safety to GP2017, an approved adalimumab biosimilar

BACKGROUND

GP2017 is an adalimumab biosimilar. The objective of this study is to compare the pharmacokinetics (PK) of GP2017 in its approved formulation and GP2017-high concentration formulation (HCF) in a randomized, double-blind, two-arm PK bridging study.

RESEARCH DESIGN AND METHODS

Healthy male subjects received a single 40 mg subcutaneous injection of either GP2017-HCF (n = 162) or GP2017 (n = 168). PK, safety, and immunogenicity were assessed over 72 days post-injection.

RESULTS

The 90% confidence intervals [CIs] of geometric mean ratios between GP2017-HCF and GP2017 for Cmax, AUC0-inf, AUC0-360 and AUC0-last were within the pre-defined margin of 0.80 to 1.25; thus, PK comparability between GP2017-HCF and GP2017 was demonstrated. Subgroup analysis of PK comparability by anti-drug antibody (ADA) subpopulation showed that the 90% CIs of geometric mean ratios between GP2017-HCF and GP2017 for Cmax, AUC0-inf, AUC0-360 and AUC0-last were within the margin of 0.80 to 1.25 in ADA-positive and ADA-negative subjects. The proportions of subjects with positive ADA responses and with neutralizing antibodies were comparable between the GP2017-HCF and GP2017 groups. GP2017-HCF and GP2017 were well tolerated, and there were no reports of deaths or other serious adverse events.

CONCLUSION

Results show PK comparability between GP2017-HCF and GP2017 and comparable safety and tolerability.

Secukinumab in moderate-to-severe hidradenitis suppurativa (SUNSHINE and SUNRISE): week 16 and week 52 results of two identical, multicentre, randomised, placebo-controlled, double-blind phase 3 trials

BACKGROUND

Few therapeutic options are available for patients with moderate-to-severe hidradenitis suppurativa. We aimed to assess the efficacy of secukinumab in patients with moderate-to-severe hidradenitis suppurativa in two randomised trials.

METHODS

SUNSHINE and SUNRISE were identical, multicentre, randomised, placebo-controlled, double-blind phase 3 trials done in 219 primary sites in 40 countries. Patients aged 18 years old or older with the capacity to provide written informed consent and with moderate-to-severe hidradenitis suppurativa (defined as a total of ≥5 inflammatory lesions affecting ≥2 distinct anatomical areas) for at least 1 year were eligible for inclusion. Included patients also agreed to daily use of topical over-the-counter antiseptics on the areas affected by hidradenitis suppurativa lesions while on study treatment. Patients were excluded if they had 20 or more fistulae at baseline, had ongoing active conditions requiring treatment with prohibited medication (eg, systemic biological immunomodulating treatment, live vaccines, or other investigational treatments), or met other exclusion criteria. In both trials, patients were randomly assigned (1:1:1) by means of interactive response technology to receive subcutaneous secukinumab 300 mg every 2 weeks, subcutaneous secukinumab 300 mg every 4 weeks, or subcutaneous placebo all via a 2 mL prefilled syringe in a double-dummy method as per treatment assignment. The primary endpoint was the proportion of patients with a hidradenitis suppurativa clinical response, defined as a decrease in abscess and inflammatory nodule count by 50% or more with no increase in the number of abscesses or in the number of draining fistulae compared with baseline, at week 16, assessed in the overall population. Hidradenitis suppurativa clinical response was calculated based on the number of abscesses, inflammatory nodules, draining fistulae, total fistulae, and other lesions in the hidradenitis suppurativa affected areas. Safety was assessed by evaluating the presence of adverse events and serious adverse events according to common terminology criteria for adverse events, which were coded using Medical Dictionary for Regulatory Activities terminology. Both the SUNSHINE, NCT03713619, and SUNRISE, NCT03713632, trials are registered with ClinicalTrials.gov.

FINDINGS

Between Jan 31, 2019, and June 7, 2021, 676 patients were screened for inclusion in the SUNSHINE trial, of whom 541 (80%; 304 [56%] women and 237 [44%] men; mean age 36·1 years [SD 11·7]) were included in the analysis (181 [33%] in the secukinumab every 2 weeks group, 180 [33%] in the secukinumab every 4 weeks group, and 180 [33%] in the placebo group). Between the same recruitment dates, 687 patients were screened for inclusion in the SUNRISE trial, of whom 543 (79%; 306 [56%] women and 237 [44%] men; mean age 36·3 [11·4] years) were included in the analysis (180 [33%] in the secukinumab every 2 weeks group, 180 [33%] in the secukinumab every 4 weeks group, and 183 [34%] in the placebo group). In the SUNSHINE trial, significantly more patients in the secukinumab every 2 weeks group had a hidradenitis suppurativa clinical response (rounded average number of patients with response in 100 imputations, 81·5 [45%] of 181 patients) compared with the placebo group (60·7 [34%] of 180 patients; odds ratio 1·8 [95% CI 1·1-2·7]; p=0·0070). However, there was no significant difference between the number of patients in the secukinumab every 4 weeks group (75·2 [42%] of 180 patients) and the placebo group (1·5 [1·0-2·3]; p=0·042). Compared with the placebo group (57·1 [31%] of 183 patients), significantly more patients in the secukinumab every 2 weeks group (76·2 [42%] of 180 patients; 1·6 [1·1-2·6]; p=0·015) and the secukinumab every 4 weeks group (83·1 [46%] of 180 patients; 1·9 [1·2-3·0]; p=0·0022) had a hidradenitis suppurativa clinical response in the SUNRISE trial. Patient responses were sustained up to the end of the trials at week 52. The most common adverse event by preferred term up to week 16 was headache in both the SUNSHINE (17 [9%] patients in the secukinumab every 2 weeks group, 20 [11%] in the secukinumab every 4 weeks group, and 14 [8%] in the placebo group) and SUNRISE (21 [12%] patients in the secukinumab every 2 weeks group, 17 [9%] in the secukinumab every 4 weeks group, and 15 [8%] in the placebo group) trials. No study-related deaths were reported up to week 16. The safety profile of secukinumab in both trials was consistent with that previously reported, with no new or unexpected safety findings detected.

INTERPRETATION

When given every 2 weeks, secukinumab was clinically effective at rapidly improving signs and symptoms of hidradenitis suppurativa with a favourable safety profile and with sustained response up to 52 weeks of treatment.

FUNDING

Novartis Pharma.

Characterizing Pharmacokinetics in Children With Obesity-Physiological, Drug, Patient, and Methodological Considerations

Childhood obesity is an alarming public health problem. The pediatric obesity rate has quadrupled in the past 30 years, and currently nearly 20% of United States children and 9% of children worldwide are classified as obese. Drug distribution and elimination processes, which determine drug exposure (and thus dosing), can vary significantly between patients with and without obesity. Obesity-related physiological changes, such as increased tissue volume and perfusion, altered blood protein concentrations, and tissue composition can greatly affect a drug's volume of distribution, which might necessitate adjustment in loading doses. Obesity-related changes in the drug eliminating organs, such as altered enzyme activity in the liver and glomerular filtration rate, can affect the rate of drug elimination, which may warrant an adjustment in the maintenance dosing rate. Although weight-based dosing (i.e., in mg/kg) is commonly practiced in pediatrics, choice of the right body size metric (e.g., total body weight, lean body weight, body surface area, etc.) for dosing children with obesity still remains a question. To address this gap, the interplay between obesity-related physiological changes (e.g., altered organ size, composition, and function), and drug-specific properties (e.g., lipophilicity and elimination pathway) needs to be characterized in a quantitative framework. Additionally, methodological considerations, such as adequate sample size and optimal sampling scheme, should also be considered to ensure accurate and precise top-down covariate selection, particularly when designing opportunistic studies in pediatric drug development. Further factors affecting dosing, including existing dosing recommendations, target therapeutic ranges, dose capping, and formulations constraints, are also important to consider when undergoing dose selection for children with obesity. Opportunities to bridge the dosing knowledge gap in children with obesity include modeling and simulating techniques (i.e., population pharmacokinetic and physiologically-based pharmacokinetic [PBPK] modeling), opportunistic clinical data, and real world data. In this review, key considerations related to physiology, drug parameters, patient factors, and methodology that need to be accounted for while studying the influence of obesity on pharmacokinetics in children are highlighted and discussed. Future studies will need to leverage these modeling opportunities to better describe drug exposure in children with obesity as the childhood obesity epidemic continues.

Precision Medicine: Towards Individualized Dosing in Pediatric Rheumatology

Despite an increase in the number of available therapeutics, many children with rheumatic disease continue to experience active inflammatory disease and treatment failure. One reason for treatment failure is the lack of dosing paradigms to account for the wide between-patient variability in drug pharmacokinetics because of developmental changes or genetic polymorphisms that effect drug absorption, distribution, metabolism, and elimination. This review highlights several strategies to optimize dosing for biologic and nonbiologic disease-modifying antirheumatic drugs, including therapeutic drug monitoring, pharmacogenomics, and the use of pharmacokinetic/pharmacodynamic modeling.

Flares as dynamic predictive factor of response to adalimumab in hidradenitis suppurativa, real-life data

BACKGROUND

Hidradenitis suppurativa (HS) is characterized by periodic worsening of both clinical manifestations and symptoms. The aim was to investigate the role of flare outbreak as a possible predictive factor of response to Adalimumab.

METHODS

115 HS patients in treatment with adalimumab, with moderate-severe HS, ≥3 abscesses and inflammatory-nodules (ANs) from 5 Italian centers were included in this retrospective analysis. The information about gender, ages at onset/baseline, therapeutic delay, family history, body mass index, smoking, comorbidities, phenotypes, body areas, severity indexes at baseline was collected. Baseline characteristics, total number and timeline of flares were analysed by regression and survival analysis with Hidradenitis Suppurativa Clinical Response (HiSCR).

RESULTS

During the observational period, 80.9% of patients developed flares, detecting 252 flares. Univariate model identified five factors associated with the absence of response: age (p-value=0.020), comorbidities (p-value=0.030), genital-perineal involvement (pvalue= 0.004), no response at week-12 (p-value=0.027), and flares outbreak (p-value=0.010). Joint analysis of recurrent and terminal events showed a positive correlation between flare recurrence and no-response (p-value<0.001). Among the identified variables associated with poor response to the therapy: occurrence of a flare before week-12 was the one with the highest risk of no response (p-value<0.001). The limitations are: study's retrospective design, limited number of patients, absence either of a consensus about flare definition, placebo control group or standard therapy of flares during adalimumab therapy.

CONCLUSIONS

The analysis of a "dynamic" variable, as flares evaluation together with an appropriate clinical baseline assessment can be a useful approach to predict the middle-long-term response to adalimumab.

Factors related to the onset and recurrence of flares in hidradenitis suppurativa patients treated with adalimumab

BACKGROUND

Hidradenitis suppurativa (HS) is characterized by periodic worsening of symptoms. However, clinical parameters associated with flare are still to be established. The aim was too investigate factors associated with flare outbreak in HS patients in treatment with adalimumab.

METHODS

Moderate-severe HS patients were included in this retrospective analysis. In total, 115 HS patients treated with adalimumab from 5 Italian centers were reviewed. Gender, ages at onset/baseline, therapeutic delay, family history, body mass index, smoking, comorbidities, phenotypes, body areas involved, Hurley stage, International Hidradenitis Suppurativa Severity Score System (IHS4), Dermatology Life Quality Index (DLQI) and Visual Analogue Scale for pain (pain-VAS) were collected at baseline. Flares were modelled with baseline features using univariate and multivariate Coxregression. The factors significantly correlated with flares in the univariate model were analyzed using a recurrent event survival analysis (Andersen-Gill model) to assess the relation between them and flares recurrence.

RESULTS

During the observation period 80.9% of patients developed flares, detecting 252 flares, overall. A univariate model identified five risk factors associated with the outbreak of flares: age, therapeutic delay, groin involvement, Hurley III, higher IHS4, whereas, from multivariate model, only IHS4 resulted to be significantly correlated. Additionally, flares were positively associated with higher DLQI and pain-VAS. Finally, the Andersen-Gill model showed four factors correlated with flares recurrence: age, therapeutic delay, Hurley III and higher IHS4. The limitations are: study's retrospective design, absence of a consensus about flare definition.

CONCLUSIONS

An early treatment of HS may prevent both the disease progression and reduce the recurrence of flares.

A safety review of biologic therapies for the management of hidradenitis suppurativa and unmet needs

INTRODUCTION

Hidradenitis suppurativa (HS) is a chronic, debilitating inflammatory skin disorder characterized by nodules, abscesses, fistulae, and significant scarring in intertriginous areas rich in apocrine glands. Immunomodulator drugs, including biologics, are a mainstay of treatment for this disease.

AREAS COVERED

This review details the safety profiles of various biologic therapies currently available commercially that have been tried for HS as assessed in clinical trials and observational studies. As the only Food and Drug Administration (FDA)-approved medication for the treatment of moderate-to-severe HS, adalimumab is discussed in the most detail. Additional biologic medications, including tumor necrosis factor α (TNFα) inhibitors, interleukin 1 (IL-1) inhibitors, IL-12 and IL-23 inhibitors, IL-17 inhibitors, and IL-23 inhibitors, are discussed as well. Safety concerns in special populations, including pregnant women and children, are outlined.

EXPERT OPINION

Existing data support excellent short-term and long-term safety profiles for adalimumab, although caution must be taken with use in high-risk patient populations, including those with chronic infections or increased risk of malignancy. Based on their safety data for other indications, additional biologic agents appear safe in HS as well. However, further research is needed to fully understand the safety profiles of these medications in the HS population.

Is There a Role for Therapeutic Drug Monitoring in Patients with Hidradenitis Suppurativa on Tumor Necrosis Factor-α Inhibitors?

Tumor necrosis factor-α inhibitors, adalimumab and infliximab, are at the forefront of biologic therapy for the management of moderate-to-severe hidradenitis suppurativa, with adalimumab as currently the only approved medication for this condition. In treating patients, primary or secondary lack of response (also termed suboptimal response) is a major burden for both patients and healthcare systems and is a challenge with biologics in part owing to the development of anti-drug antibodies following treatment. To overcome this, therapeutic drug monitoring may be conducted proactively or reactively to a patient's suboptimal response guided by measurements of trough serum drug concentrations and levels of anti-drug antibodies. While strong evidence to support the utility of therapeutic drug monitoring exists in patients with inflammatory bowel disease, current information is limited in the context of hidradenitis suppurativa. We sought to summarize the available evidence and to present the role of therapeutic drug monitoring and other dose optimization strategies in improving clinical response in patients with hidradenitis suppurativa treated with tumor necrosis factor-α inhibitors.

Therapeutic Drug Monitoring in Patients with Suboptimal Response to Adalimumab for Hidradenitis Suppurativa: A Retrospective Case Series

BACKGROUND

Adalimumab, a tumor necrosis factor-α inhibitor, is a biologic used for the treatment of moderate-to-severe hidradenitis suppurativa (HS). It is well known that patients may experience loss of efficacy from its use in other conditions, and it is suggested that developing a strategy for therapeutic drug monitoring (TDM) may help secure optimal clinical outcomes.

OBJECTIVES

We sought to determine serum adalimumab concentrations and anti-adalimumab antibody (AAA) status in patients with moderate-to-severe HS.

METHODS

A retrospective case series of 38 patients with suboptimal response to adalimumab 40 mg weekly was conducted at a community dermatology clinic. Adalimumab serum trough levels, AAA status, and inflammatory biomarkers were collected. Blood was drawn on identification of suboptimal response (after a minimum of 12 weeks) and was collected once prior to receiving the next scheduled dose. Kruskal-Wallis and Chi-squared tests were used for data analysis.

RESULTS

A total of 38 patients had a median adalimumab trough concentration of 8.76 (interquartile range [IQR] 1.3-12.5) µg/mL. The median duration of adalimumab therapy of all patients was 21 (IQR 12-24) months. AAAs were detected in nine patients (24%), and all had subtherapeutic serum concentrations (< 6 µg/mL). Patients who were AAA+ had a significantly lower median adalimumab concentration than those who were AAA- (0.02 µg/mL [range 0.02-0.81] vs. 10.14 [range 0.76-48.00]; p = 0.0006).

CONCLUSION

Patients with AAAs had significantly lower serum adalimumab levels. The current study suggests that TDM may identify underlying reasons for suboptimal response and detect patients who may benefit from dose optimization strategies.

Metabolic, pharmacokinetic, and toxicological issues of biologic therapies currently used in the treatment of hidradenitis suppurativa

INTRODUCTION

Hidradenitis suppurativa is a chronic, relapsing, debilitating inflammatory dermatologic disease of the terminal hair follicles at intertriginous sites clinically characterized by painful inflammatory nodules, abscesses, draining sinus tracts, and dermal fibrosis. The management of hidradenitis suppurativa is a challenge and usually consists of both medical and surgical approaches, which must often be combined for best outcome. The introduction of biological therapies, specifically TNFα-inhibitors such as adalimumab, has profoundly changed the therapeutic armamentarium of the disease.

AREAS COVERED

The PubMed database was searched using combinations of the following keywords: hidradentis suppurativa, biologic therapy, TNF-α inhibitors, adalimumab, etanercept, infliximab, certolizumab pegol, golimumab, adverse effects, pharmacodynamics, pharmacology, adverse events, pharmacokinetics, drug interaction. This article reviews and updates the chemistry, pharmacokinetics, mechanism of action, adverse effects, drug interactions of on-label and off-label use of TNF-α inhibitors in HS.

EXPERT OPINION

Biologic agents, particularly adalimumab, exhibit clinical efficacy in patients with hidradenitis suppurativa. Careful patient selection and close monitoring during treatment are mandatory to provide safe and effective use of the TNF-α inhibitor. Familiarity with biologic agents is crucial because these agents could become a consolidated treatment option in the clinician's therapeutic approaches.

Population pharmacokinetics of adalimumab biosimilar adalimumab-adbm and reference product in healthy subjects and patients with rheumatoid arthritis to assess pharmacokinetic similarity

AIMS

Adalimumab-adbm is a monoclonal antibody developed as a biosimilar to adalimumab (Humira, AbbVie Inc.). The key objectives of this study were using a population pharmacokinetic (PPK) approach to assess pharmacokinetic (PK) similarity between adalimumab-adbm and Humira in patients with active rheumatoid arthritis (RA), to quantify the effects of potential covariates on adalimumab PK and to assess the impact of switching treatment from Humira to adalimumab-adbm on PK.

METHODS

A PPK model was firstly developed using intensive PK data from the phase-1 study in healthy subjects (NCT02045979). PPK models were developed separately for phase-3 base study (NCT02137226) and its extension study (NCT02640612) in patients with active RA.

RESULTS

PPK models were developed for adalimumab from adalimumab-adbm and Humira treatment in healthy subjects and RA patients. Weight and anti-drug antibodies were found to be important predictors of adalimumab clearance. Adalimumab PK was similar between adalimumab-adbm and Humira. The estimated effect of Humira on clearance, relative to the adalimumab-adbm, was 1.02 (i.e., Humira has 0.02 greater clearance). Similarly, the effect of treatment arms (switching) on clearance was estimated to be 1.00 and 0.997 for Humira:Humira:BI and Humira:BI:BI arms, respectively, relative to the BI:BI:BI arm (BI refers to adalimumab-adbm) in the phase-3 extension study.

CONCLUSION

PK similarity between adalimumab-adbm and Humira in patients with active RA was demonstrated using PPK approach. Adalimumab PK was also similar when switching treatment from Humira to adalimumab-adbm at either week 24 or 48.

Influence of Antigen Mass on the Pharmacokinetics of Therapeutic Antibodies in Humans

Therapeutic antibodies are increasingly used to treat various diseases, including neoplasms and chronic inflammatory diseases. Antibodies exhibit complex pharmacokinetic properties, notably owing to the influence of antigen mass, i.e. the amount of antigenic targets to which the monoclonal antibody binds specifically. This review focuses on the influence of antigen mass on the pharmacokinetics of therapeutic antibodies quantified by pharmacokinetic modelling in humans. Out of 159 pharmacokinetic studies, 85 reported an influence of antigen mass. This influence led to non-linear elimination decay in 50 publications, which was described using target-mediated drug disposition or derived models, as quasi-steady-state, irreversible binding and Michaelis-Menten models. In 35 publications, the pharmacokinetics was apparently linear and the influence of antigen mass was described as a covariate of pharmacokinetic parameters. If some reported covariates, such as the circulating antigen level or tumour size, are likely to be correlated to antigen mass, others, such as disease activity or disease type, may contain little information on the amount of antigenic targets. In some cases, antigen targets exist in different forms, notably in the circulation and expressed at the cell surface. The influence of antigen mass should be soundly described during the early clinical phases of drug development. To maximise therapeutic efficacy, sufficient antibody doses should be administered to ensure the saturation of antigen targets by therapeutic antibodies in all patients. If necessary, antigen mass should be taken into account in routine clinical practice.

Long-term safety of adalimumab for patients with moderate-to-severe hidradenitis suppurativa

Introduction: Hidradenitis suppurativa (HS) is a chronic debilitating inflammatory skin disorder that affects regions rich in apocrine glands. Although the etiology of HS is not clear, inflammatory cytokines, like tumor necrosis factor (TNF)-α, participate in pathogenesis. Adalimumab (ADA), a human IgG1 monoclonal antibody that selectively targets TNFα, is the only EMA/FDA-approved biologic agent available for the therapy of moderate-to-severe HS.Areas covered: A comprehensive literature search was conducted to present existing studies with an emphasis on the safety profile of ADA for the treatment of moderate-to-severe HS. ADA is prescribed for more than 15 years for varied indications and has improved the therapeutic outcomes of many diseases. Clinical trials and real-life safety data from ADA administration in HS were presented, with particular attention to special populations, such as children, elderly, and pregnant women.Expert opinion: Existing data advise for limited safety concerns with long-term ADA treatment provided that patients are thoroughly screened for infections, latent tuberculosis, and history of malignancy before the start of treatment.

Population Pharmacokinetic Modeling of Acetaminophen Protein Adducts in Adults and Children

Acetaminophen protein adducts (adducts) are a well-established biomarker to diagnose acetaminophen toxicity. To date, the quantitative relationship between acetaminophen exposure, which drives adduct formation, and adduct exposure remains to be established. Our study characterized the adduct formation and disposition in adults using the approach of population parent-metabolite modeling. It demonstrated formation-limited pharmacokinetics (PK) for adducts in healthy subjects. This finding expands the existing knowledge on adduct PK that showed an apparent long elimination half-life. We then allometrically scaled the adduct PK model to children, simulated the adduct profiles, and compared these simulated profiles with those observed in an independent cohort of children. The scaled model significantly overpredicted the adduct concentrations in children early on in treatment and underpredicted concentrations following repeated acetaminophen doses. These results suggest that children demonstrate different adduct PK behavior from that of adults, most likely because of increased reactive metabolite detoxification in children. In summary, we described the first PK model linking acetaminophen and acetaminophen protein adduct concentrations, which provides a semimechanistic understanding of varying profiles of adduct exposure in adults and children.

TNF-α inhibitors in the treatment of hidradenitis suppurativa

Hidradenitis suppurativa (HS) is a complex disease with a dramatic impact on the quality of life of patients that it afflicts. Despite this, there are few treatment options offering long-term relief. The exact pathophysiology of HS is unclear, although the current theory involves follicular obstruction, rupture, and subsequent inflammation leading to fistula and abscess development in intertriginous skin. Several inflammatory modulators have been implicated in the development of HS, including tumor necrosis factor (TNF)-α as well as interleukin (IL)-1β, IL-10, and IL-17. Initial evidence for the use of TNF-α inhibitors in HS stemmed from recognition that inflammatory bowel disease patients treated with these medications saw a concurrent improvement in their HS symptoms. Early case reports and case series illustrated TNF-α inhibitors’ value in the treatment of HS. Later, two phase III clinical trials, PIONEER I and PIONEER II, demonstrated that adalimumab is an efficacious treatment for HS. Infliximab represents another effective HS treatment option with its main advantage being dosing flexibility. In contrast, clinical trials have failed to show evidence for application of etanercept in HS. There is limited data on other TNF-α inhibitors such as certolizumab-pegol and golimumab. This review outlines the history, dosing, response, and adverse effects of TNF-α inhibitors in the treatment of HS.

GP2017, an adalimumab biosimilar: pharmacokinetic similarity to its reference medicine and pharmacokinetics comparison of different administration methods

Background: To compare the pharmacokinetics of Sandoz biosimilar adalimumab (GP2017) with reference adalimumab (Humira) in healthy volunteers (PK similarity study) and to compare the pharmacokinetics of GP2017 administered by autoinjector (AI) or prefilled syringe (PFS; delivery study). Methods: Healthy male subjects were randomized to receive a single 40 mg subcutaneous injection of GP2017, US-licensed or EU-authorized reference adalimumab (US/EU-Humira; PK similarity study) or a single 40 mg subcutaneous injection of GP2017 via AI or PFS (delivery study). Pharmacokinetics, safety, and immunogenicity were assessed over 72 days post-injection. Results: The geometric mean ratios (90% confidence intervals) for C_max and AUC_0-inf were 1.05 (0.99-1.11) and 1.04 (0.96-1.13) for GP2017/EU-Humira and 1.00 (0.94-1.06) and 1.08 (1.00-1.18) for GP2017/US-Humira, all within the prespecified margin of 0.80-1.25 (PK similarity study). Pharmacokinetic parameters of GP2017 matched between AI and PFS (delivery study). Safety and immunogenicity were similar across groups in both studies. Conclusion: PK similarity between GP2017, EU- and US-Humira was demonstrated. The safety profile of GP2017 was consistent with previous reports for Humira. These results contribute to the 'totality-of-the-evidence' supporting biosimilarity of GP2017 to Humira. PK and tolerability were equivalent for GP2017 dosed by AI or PFS. Trial registration: PK similarity study EudraCT no. 2015-000579-28; Delivery study: EudraCT no. 2014-002879-29.

Pharmacokinetics, Safety, and Tolerability of the Dual Inhibitor of Tumor Necrosis Factor-α and Interleukin 17A, ABBV-257, in Healthy Volunteers and Patients With Rheumatoid Arthritis

The dual-variable domain immunoglobulin ABBV-257 binds tumor necrosis factor-α and interleukin 17A. Following single ascending doses ( 0.3, 1.0, and 3.0 mg/kg intravenously; 0.3 and 3.0 mg/kg subcutaneously) in a randomized, double-blind, placebo-controlled study in healthy subjects (n = 40; n = 29 evaluated for pharmacokinetics), maximum observed serum concentration (C_max ) increased dose-proportionally, whereas area under the serum concentration-versus-time curve trended to more than dose-proportional increase. Absolute subcutaneous bioavailability was ∼80%, and the time to C_max (t_max ) occurred 6 to 8 days after subcutaneous administration. The terminal-phase harmonic mean elimination half-life (t_½ ) ranged from 5.5 to 11 days following intravenous and subcutaneous administration. In another randomized, placebo-controlled study, rheumatoid arthritis (RA) patients (n = 8) received ABBV-257 30 mg/kg subcutaneously every other week for 8 weeks. Following the fourth dose, C_max was 7.69 μg/mL, and t_max occurred ∼4 days after dosing; t_½ was ∼16 days. Most individuals (single-dose study, 97%; multiple-dose study, 83%) developed antidrug antibodies (ADAs). Generally, subjects with higher ADA titers had shorter ABBV-257 t_½ and lower exposure. One serious adverse event (cerebral ischemia, considered unrelated to treatment, resolved with interventions) occurred in an RA patient who received ABBV-257. Because of the high incidence of ADA-mediated drug clearance, ABBV-257 is no longer being developed.

Reporting, Visualization, and Modeling of Immunogenicity Data to Assess Its Impact on Pharmacokinetics, Efficacy, and Safety of Monoclonal Antibodies

The rapidly increasing number of therapeutic biologics in development has led to a growing recognition of the need for improvements in immunogenicity assessment. Published data are often inadequate to assess the impact of an antidrug antibody (ADA) on pharmacokinetics, safety, and efficacy, and enable a fully informed decision about patient management in the event of ADA development. The recent introduction of detailed regulatory guidance for industry should help address many past inadequacies in immunogenicity assessment. Nonetheless, careful analysis of gathered data and clear reporting of results are critical to a full understanding of the clinical relevance of ADAs, but have not been widely considered in published literature to date. Here, we review visualization and modeling of immunogenicity data. We present several relatively simple visualization techniques that can provide preliminary information about the kinetics and magnitude of ADA responses, and their impact on pharmacokinetics and clinical endpoints for a given therapeutic protein. We focus on individual sample- and patient-level data, which can be used to build a picture of any trends, thereby guiding analysis of the overall study population. We also discuss methods for modeling ADA data to investigate the impact of immunogenicity on pharmacokinetics, efficacy, and safety.