Therapeutic drug monitoring of biologics in psoriasis
Abstract
Introduction
Psoriasis is a complex, chronic, immune-mediated disorder affecting the skin and joints.1 Previous studies have shown there is a complex interplay between the innate and adaptive immune system during disease progression in response to an unidentified trigger which can be either genetic, environmental or immunologic.2,48 The precise mechanism of its pathogenesis remains poorly understood.
Recent studies looking at systems biomarkers in psoriasis pathogenesis have identified several novel proteins, pushing the boundaries of our current knowledge. Sevimoglu et al3 discovered PI3 as a candidate biomarker with high expression in psoriasis patients, as well as gender differences in which PC4 and WIF1 proteins were higher in healthy states than disease states in males and females, respectively. Manczinger et al4 reaffirmed several already published psoriasis-associated protein-coding genes including CCNA2, FYN and PIK3R1 identified as genes play a central role in psoriasis pathogenesis. Another study analysed the expression patterns from 12 microarray studies (534 patients) from the Gene Expression Omnibus.5 The authors identified 11 core differentially expressed genes (DEGs) for being commonly identified in at least 10 of the 12 datasets. These were IFIT1, OAS2, PI3, STAT1, NMI, TRIM22, RSAD2, WIF1, SUB1, MAD2L1 and IFI44. These studies present valuable information for future work on drug target identification and discovery.
Although the precise pathophysiology is yet to be clearly elucidated, various cytokines and growth factors including; tumour necrosis factor (TNF-alpha), interleukin (IL)–23, IL-22 and IL-17 are involved.6–8 Accordingly, the treatment of psoriasis has also evolved to include biologic therapies which target these agents. Although biologics have been shown to be highly effective, not all patients respond to these modalities (primary failure). Some initial responders also lose effect over time (secondary failure) which has been attributed to the development of drug antibodies and low serum concentrations.
Therapeutic drug monitoring (TDM) is the clinical practice of measuring serum drug and/or anti-drug antibody (ADA) concentrations to guide clinical decision making. Studies evaluating optimal cutoff trough values of the various biologics in terms of clinical efficacy are also invaluable. In patients with inflammatory bowel disease and rheumatoid arthritis, adequate serum concentrations of biologics have been associated with sustainable clinical responses. Similarly, there is growing evidence to suggest that TDM is beneficial in patients with psoriasis. We aim to review the available evidence on TDM of biologic agents used in the treatment of patients with psoriasis and its impact on treatment efficacy.
TDM of adalimumab in psoriasis
The incidence rates of anti-adalimumab antibodies (AAA) in psoriatic patients ranged from 6.5% to 45% in the literature.9–14 Lecluse et al9 were the first to examine the relationship between development of AAA and adalimumab trough concentrations in psoriasis patients. They reported the development of AAA in 45% (13/29) of patients. They found that the development of AAA was associated with lower adalimumab trough concentrations and consequently impaired treatment outcome. These findings were supported by subsequent studies.10–13
In addition, there have been attempts to determine the therapeutic range of adalimumab in the treatment of psoriasis. In 2010, Lecluse et al9 reported that the minimal trough level of adalimumab in good responders (PASI >75) at the 24-week mark of treatment was 9.7 µg/mL. Takahashi et al12 determined this to be 7.84 µg/mL (PASI >75) via a receiver-operator characteristics (ROC) analysis. Recently, in 2015, Menting et al14 established a therapeutic range for adalimumab trough levels of 3.51–7.00 mg/L that corresponds with good clinical response (PASI 75) in psoriatic patients. The lower and upper margin of the therapeutic range was identified using ROC analysis and concentration effect curve respectively. Interestingly, it was observed that the trough concentrations exceeded the therapeutic window (>7 mg/L) in one-third of patients.
TDM of infliximab
Several studies have demonstrated that the presence of anti-infliximab antibody (AIA) is associated with lower serum infliximab concentrations and consequently poorer clinical outcomes.12,16 AIAs have been reported in 5.4%–43.6% of patients in the literature.17–20 In 2013, Takahashi reported the minimum plasma infliximab trough level for good responders (PASI >75) to be 0.92 µg/mL via a ROC analysis.12 In addition, Reich et al21 studied the efficacy and safety of continuous vs intermittent Infliximab maintenance therapy in 222 patients. At week 52, a greater proportion of patients on continuous therapy achieved PASI 75 compared to those on intermittent therapy (80% vs 47%). Fewer serious infusion-related reactions were also reported in the continuous therapy group compared to those on intermittent therapy (<1% vs 4%)
TDM of etanercept
Etanercept appears to exhibit immunogenicity less often than the other monoclonal antibodies. Anti-etanercept antibodies (AEA) have been reported in 0%–18.3% of patients in the literature.10,22–25 None of these studies demonstrated a significant difference in clinical response associated with AEA.
TDM of ustekinumab
Anti-ustekinumab antibodies (AUA) have been reported in 3.8%–6.0% of patients.26–31 Two studies have demonstrated the relationship between detection of AUAs and a reduced PASI response. Papp et al28 reported detection of AUA in 12.7% (20/158) of patients with PASI 50, compared to 2.0% (12/590) of PASI 75 patients. In addition, serum ustekinumab concentrations are affected by weight, with lower serum concentrations observed in heavier patients at various doses. In the PHOENIX phase I and II studies,32,33 median ustekinumab serum concentrations at week 28 were similar in lighter patients (≤ 100 kg) who received 45 mg every 12 weeks, compared to those in heaver patients (>100 kg) receiving 90 mg every 12 weeks. This observation was paralleled by clinical efficacy, as evidenced by similar PASI 75 response rates between both groups.
TDM of secukinumab and ixekizumab
Secukinumab and ixekizumab are newer biologic agents recently approved in the treatment of plaque psoriasis. Both are recombinant humanized monoclonal antibodies that selectively bind and neutralize interleukin-17A, the primary effector of Th17 cells. Little is known about their immunogenicity potential. In two phase III clinical trials (up to 52 weeks) in patients treated with secukinumab,34 low levels of immunogenicity have been reported. In the FIXTURE and ERASURE studies, prevalence of anti-secukinumab antibodies (ASA) have been reported in 0.4% (4/980) and 0.3% (2/702) patients, respectively. Blauvelt et al35 reported higher levels of immunogenicity in patients with psoriasis treated with ixekizumab at 12 weeks. AIAs were detected in 9% of patients receiving two weekly ixekizumab and 13.4% of those receiving four weekly ixekizumab. The development of AIA was associated with poorer clinical outcomes. Twelve-week PASI 75 response rates was 36.8% in patients with high AIA titres, compared to 90.7% in those with undetectable AIA.
This lowered immunogenicity potential of secukinumab was borne out by a side-by-side ELISpot assay where healthy donors showed less frequent T cell responses and elaborated lower counts of pre-existing T cells to secukinumab than to ixekizumab and also adalimumab.
TDM of newer biologics
Guselkumab and tildrakizumab are novel monoclonal antibodies targeting interleukin-23, a key regulator in the pathophysiology of psoriasis. It bridges the innate and adaptive immune responses and plays a key role in inducing Th17 cell differentiation. Together with brodalumab (anti-interleukin 17 receptor antibody), these are the three biologics approved by the US Food and Drug Administration (FDA) for the treatment of moderate to severe psoriasis between 2017 and 2018. There is currently a paucity of data in the literature with regards to measurement of their trough levels and anti-drug antibody formation.
TDM of biosimilars
According to the US FDA, a biosimilar is “highly similar to an FDA-approved biological product” and “has no clinically meaningful differences in terms of safety and effectiveness”.36 To date, the following biosimilars have been approved for the treatment of chronic plaque psoriasis - Remsima® and Inflectra® (infliximab biosimilars), Erelzi® (etanercept biosimilar) and Amjevita® (an adalimumab biosimilar).
Overall, there is a paucity of data in terms of therapeutic drug monitoring in patients with chronic plaque psoriasis treated with biosimilars. The TDM data available in the literature is centered on the use of infliximab biosimilars in inflammatory bowel disease and rheumatoid arthritis. These studies suggest that switching to biosimilars is feasible with few adverse events, including limited anti-drug antibody formation and loss of response. For example, Ben-Horin et al37 tested the sera of patients with inflammatory bowel disease with or without measurable infliximab (Remicade®) antibodies, for their cross-reactivity to Remsima (infliximab biosimilar). All 56 patients who tested negative for anti-Remicade antibodies tested negative for antibodies to Remsima; all 69 patients who tested positive for anti-Remicade antibodies also tested positive for antibodies to Remsima. The antibody titres against Remicade and Remsima were strongly correlated (P<0.001). Similarly, Schmitz et al38 reported that 27 patients with diverse rheumatological conditions switched from infliximab to a biosimilar had no significant difference in infliximab serum levels and disease activity up to 12 months after the switch.
Discussion
Biologic agents currently represent the end of the therapeutic spectrum for moderate to severe plaque psoriasis. Hence, it is crucial to identify and optimize factors impairing clinical response as far as possible.
Recent attempts at determining the therapeutic ranges of some of the biologics provide a stepping stone to developing an algorithm for TDM-based treatment in our psoriatic patients (Table 1). For adalimumab, the minimal serum trough level to achieve PASI 75 has been determined by Lecluse and Takahashi to be 9.7 mg/L and 7.84 µg/mL, respectively.9,12 These are higher than the therapeutic range of 3.51–7.00 mg/L reported by Menting et al.14 In addition, Menting et al14 described a substantial proportion of patients whose adalimumab levels exceeded the upper therapeutic level of 7 mg/L with no further beneficial effect on treatment response. This suggests that this subset of patients is being overtreated, and could be subject to unnecessary immunosuppression. It has been proposed that lengthening the dosing interval can lead to trough concentrations within the therapeutic range without losing clinical efficacy, as well as cost savings.
In 2015, Menting et al39 reported there was no correlation between the clinical efficacy and trough levels of ustekinumab, with a correlation coefficient of −0.36 at week 16. He offered several possible explanations for these findings. Firstly, the study had a small sample size of 41 patients. Secondly, patients may have been overtreated resulting in complete blockade of interleukins 12/23 during the intervals of successive doses. Thirdly, a different indicator besides trough levels may be required due to the infrequent administration of ustekinumab (12 weekly) compared to other biologics.
Furthermore, optimal trough levels of biologics appear to vary amongst diseases. For example, the minimum trough level of infliximab in good responders (PASI >75) was reported to be 0.92 µg/mL by Takahashi et al.12 This was compatible with that in rheumatoid arthritis (>1.0 µg/mL). In contrast, a considerably lower infliximab trough level of 0.33 µg/mL has been reported for the control of Crohn’s disease. This suggests disease-specific differences in trough levels required to achieve adequate control. Multiple factors, genetic and non-genetic, may influence response to treatment.15 Differences in baseline patient characteristics, including mean body mass index, race and ethnicity may account in part for these differences. Lastly, as patents for the biologic agents reach their expiration dates, a wave of biosimilars is expected to enter the market and further research on their efficacy and immunogenicity is vital.
We recommend the measurement of biologic serum trough concentrations and anti-drug antibody levels in routine clinical practice where possible. A proposed algorithm for practical application of therapeutic drug monitoring is outlined in Table 2. If routine TDM is not feasible, it should at least be performed in patients who lose response to biologics or do not respond at all. The rationale for this is that improvement is unlikely in the presence of high antibody titres and to prevent prolonged used of costly, inadequate or unsuitable biologic therapy. Although one of the benefits of TDM is to monitor for poor patient adherence, a practical challenge posed is when patients take the medication at the time of visits but skip doses in between. Closer intervals of TDM in clinical practice may circumvent this problem, although there is a need to balance this with available resources. While biologics should be administered as continuous therapy with regular fixed time intervals where possible, actual use may vary. Given the issues of patient adherence, lifestyle, financial constraints and funding, studies examining TDM of biologics in a real world setting where these drugs are used in a start/stop manner, lengthened intervals and off-label dosing, are important in throwing more light on drug survival.
The continued development of effective therapies in psoriasis is urgently needed. The concept of drug repositioning, the application of approved drugs for new therapies, has been gaining popularity in recent years. With the availability of established clinical drug libraries and rapid advances in disease biology, genomics and bioinformatics, drug repositioning provides an efficient route for drug discovery.
For example, expression levels of the protein STAT3 are higher in the skin lesions of psoriasis patients than in normal skin. Drugs that target STAT3 are under investigation. One example is benzo[b]thiophen-2-yl-3-bromo-5-hydroxy-5H-furan-2-one (BTH) which can reduce the proliferation of keratinocytes by inhibiting the anti-inflammatory activity of the NK-kB signalling pathway and impair STAT3 phosphorylation, preventing it from translocating to the nucleus and resulting in a decrease in keratinocyte proliferation.44 Other drug repositioning strategies to the following have been proposed: interleukin-1 β (eg, diacerein,41 glucosamine42), EGFR (eg, zalutumumab,43 panitumumab44,45), and VEGF (eg, bevacizumab,46 minocycline47).
Conclusion
There is increasing evidence to suggest that TDM will allow for more tailored and rational use of biologic therapy. Further research efforts are required to evaluate target therapeutic ranges for the various agents, particularly the newer biologics, in prospective patient cohort studies, as well as identifying and minimizing factors contributing to ADA development.
| Drug class | Drug | Incidence of anti-drug antibodies | Minimum trough level to achieve PASI >75 (mg/L) | Target therapeutic trough range (mg/L) |
|---|---|---|---|---|
| TNF-alpha antagonist | Adalimumab | 6.5%–45.0% | 3.51,14 7.84,12 9.79 | 3.51–7.00 |
| Infliximab | 5.4%–43.6% | 0.92 | Unk | |
| Etanercept | 0.0%–18.3% | Unk | Unk | |
| IL 12/23 antagonist | Ustekinumab | 3.8%–6.0% | Unk | Unk |
| Guselkumab | Unk | Unk | Unk | |
| Tildrakizumab | Unk | Unk | Unk | |
| IL 17a antagonist | Secukinumab | 0.3%–0.4% | Unk | Unk |
| Ixekizumab | 9%–13.4% | Unk | Unk |
Abbreviations: IL, interleukin; TNF, tissue necrosis factor; Unk, unknown – no established levels or ranges yet; PASI, Psoriasis Area and Severity Index.
| Drug trough concentrations | Anti-drug antibodies | Quiescent psoriasis (responders) | Active psoriasis (non-responders) |
|---|---|---|---|
| Above therapeutic range | Absent | Consider tapering regimen, particularly if drug toxicity experienced (ie, reduce dose or increase dosing interval) | Switch drug class |
| Within therapeutic range, or above minimum trough level | Absent | Maintain regimen | Switch drug class |
| Below therapeutic range or minimum trough level | Undetectable | Maintain regimen vs intensification vs stop | Intensify regimen |
| Detectable | Close monitoring, consider stopping | Switch to another drug class or intensify regimen | |
| Undetectable | Undetectable | Check for drug compliance, intensify regimen, consider stopping | Check for drug compliance. If present then intensify regimen |
| Detectable | Close monitoring, consider stopping | Switch drug class |
Footnotes
Disclosure
MML has no conflicts of interest. HHO has served as a speaker, advisory board member and researcher for Janssen, Novartis, and Galderma. HHO is also a clinical investigator for Pfizer and an advisory board member and speaker for AbbVie, Eli Lilly, and LEO Pharma. The authors report no other conflicts of interest in this work.
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