Next Article in Journal
Clinical Outcomes in Patients with Ischemic versus Non-Ischemic Cardiomyopathy after Angiotensin-Neprilysin Inhibition Therapy
Next Article in Special Issue
Therapeutic Drug Monitoring of Biologics in IBD: Essentials for the Surgical Patient
Previous Article in Journal
Isolated Growth Hormone Deficiency and Idiopathic Short Stature: Comparative Efficiency after Growth Hormone Treatment up to Adult Height
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Practical Guide to Therapeutic Drug Monitoring of Biologic Medications for Inflammatory Bowel Disease

Inflammatory Bowel Disease Program, Division of Gastroenterology, Hepatology and Nutrition, University of Minnesota, Minneapolis, MN 55455, USA
J. Clin. Med. 2021, 10(21), 4990; https://doi.org/10.3390/jcm10214990
Submission received: 28 September 2021 / Revised: 19 October 2021 / Accepted: 20 October 2021 / Published: 27 October 2021

Abstract

:
Therapeutic drug monitoring (TDM) is a useful strategy to optimize biologic medications for inflammatory bowel disease not responsive to standard dosing regimens. TDM is cost effective for anti-tumor necrosis factor agents in the setting of loss of response (reactive TDM). Optimizing drug dosing when patients are in remission (proactive TDM) may be beneficial in certain circumstances. However, frequently the serum drug concentration in isolation becomes the focus TDM. Additionally, the lines of reactive and proactive TDM can quickly blur in many common clinical settings. Physicians employing a TDM based strategy need to place the drug concentration in context with the inflammatory status of the patient, the underlying pharmacokinetics and pharmacodynamics of the drug, the risk of immunogenicity, and the therapeutic goals for the patient. Physicians should understand the limits of TDM and feel comfortable making therapeutic decisions with imperfect information. The goal of this narrative review is to provide a framework of questions that physicians can use to employ TDM effectively in practice.

1. Introduction

“What levels do you aim for?” This might be the most consistently asked question at any modern inflammatory bowel disease (IBD) conference. It is the wrong question. The goal of using biologic therapy in IBD is to suppress inflammation (i.e., pharmacodynamics or what the drug does to the body). Biologic therapies approved by the US FDA at the time of this writing include monoclonal antibodies to anti TNF-α (infliximab, adalimumab, certolizumab, and golimumab) along with their related biosimilars, agents targeting leukocyte trafficking (the anti-integrin α4β7 monoclonal antibody vedolizumab) and monoclonal antibodies binding the p40 subunit of the pro-inflammatory interleukins (IL)-12 and-23 (ustekinumab). All current biologic therapies have assays in clinical use to measure the serum drug concentration and anti-drug antibody (ADA) concentration. Overreliance on targeting a serum concentration (i.e., pharmacokinetics) without an accurate clinical and inflammatory context will leave providers confused and patients underserved. “Targeting a level” for clinical decision-making is similar to a platitude, a flat truth. On one level, it is an easy to measure endpoint; but focusing only on the concentration belies the difficult, complex decisions involving IBD therapy. Serum drug concentrations are one of many important data points. Using serum drug concentrations appropriately requires knowledge of drug mechanism, the risk of immunogenicity, the inflammatory status of the disease, and realistic therapy goals.
The fact that therapeutic drug monitoring (TDM) is complex, should not dissuade the provider from the practice. Rather, with a few well-posed questions, this strategy can be easily implemented in practice. There are a number of excellent reviews that summarize the literature on TDM in IBD [1,2]. The goal of this review is to provide a useful framework for implementing the literature in practice. Providers should ultimately feel more confident in a TDM based strategy and less confident in any specific serum concentration. If “what levels do you aim for?” is the wrong question, then what is the right question? This review sets out to outline the right question(s) to effectivity use TDM in practice.

2. Association versus Causation

Drug concentrations are inversely associated with inflammation. In almost all post-induction studies, serum drug concentrations are significantly higher in patients who are in remission [3,4,5]. Ongoing inflammation is associated with lower drug concentrations. One important reason for this association is the protein losing colopathy seen with severe intestinal inflammation [6,7]. As the molecules constituting biologic therapies are roughly the same size (100–150 kilodaltons), this phenomenon is likely true for biologics as a class of therapy. There are other mechanisms for increased biologic metabolism. In states of inflammation monoclonal antibodies undergo increased proteolytic degradation [8]. These effects occur with a number of proteins that are negatively associated with inflammation, albumin being the most common. Albumin likely acts as a surrogate marker for monoclonal antibody turnover.
Therefore, on a population level, any cross-sectional analysis will have a trend of higher drug concentrations with increased remission rates. Importantly, these do not provide insight into a threshold effect (i.e., a limit at which higher concentrations would not decrease inflammation further). It is appealing to identify of a threshold effect, but the study designs prohibit that type of interpretation. It is problematic to use population level associations as actionable data on an individual level. For a given individual, a biologic concentration threshold may exist; but population pharmacokinetic studies do not provide that information. For example, a given cohort of IBD patients, infliximab concentrations >4 μg/mL may be associated with remission. However, specific individuals in that cohort will vary. A given individual with severe penetrating Crohn’s disease may only achieve remission once the infliximab concentration is >15 μg/mL. Or perhaps, infliximab is targeting the wrong inflammatory pathway in this that patient. Population association studies are important and hypothesis generating, but they should not be over-relied on to identify thresholds for individual patients in clinical practice.

3. What Is the Target?

The ideal target would directly inform the activity of the inflammatory pathway involved in the biologic mechanism of action. Rather than make changes based on a drug concentration, changes would be made based on a direct measure of the targeted inflammatory pathway. Some individuals would have pathway suppression at a low concentration, while some would require higher doses. However, the drug concentration itself is secondary to the measurement of the pathway. In this theoretical model, measurements of inflammatory pathways would also help guide biologic therapy choice.
Unfortunately, there is no current measurement in clinical practice of a specific inflammatory pathway. When considering TDM it is essential to first establish inflammation and use inflammation as the target over time [9,10]. While our measure of inflammation are not pathway specific, trends over time can aide in assessing a therapeutic response [11]. Low drug concentrations typically also predict who will respond to a dose intensification [12,13]. The combination of active inflammation and low drug concentration suggests that the inflammatory pathway is not saturated, and dose escalation is likely to capture or recapture a response. However, some biologic concentrations may be less predictive of response than others. Typically the cytokine based biologic therapies (anti-TNFs and anti-IL-12/23) have a high correlation between concentration and response to dose escalation [12,13], while the anti-integrins may not [14]. Other factors to consider in how helpful a drug concentration will be in predicting a response to dose intensification include the current dose/frequency, the underlying risk of immunogenicity, and if the patient had a primary response. An overview of key questions to consider with TDM is found in Figure 1.

4. Reactive Therapeutic Drug Monitoring for Secondary Loss of Response in the Maintenance Phase of Biologic Therapy

Patients with an initial clinical response who then lose response in the maintenance phase with recurrence of inflammation are likely benefit from a therapeutic dose escalation in two settings: (1) lack of anti-drug antibodies (2) low serum trough concentrations.

4.1. Anti-Drug Antibodies

Anti-drug antibodies (ADAs) effectively eliminate a given biologic and can also lead to infusion or injection related reactions [15,16]. The reference range of ADA detection varies with different assays. Most assays in clinical use are drug intolerant, meaning ADAs are only detectable when low or absent serum drug concentration. Compared to drug intolerant assays, drug tolerant assays (i.e., assays that can detect ADAs in the presence of serum drug) appear to be more consistent in ADA detection [17]. Some ADAs are clinically significant, while other appear to be transitory [18]. Non-neutralizing ADAs may bind the drug without inhibiting the pharmacologic effect [19]. An ADA is likely neutralizing in the setting of high ADA concentrations with low/absent serum drug. If the measurement is a trough measurement and the drug concentration is low/absent with ADA, then the ADA is likely neutralizing the drug. A drug concentration of zero is clearly the easiest to interpret, although understanding the limitations of the specific assay being used remains important. My research group previously identified a subset of individuals with positive ADA to adalimumab and a drug concentration of zero who had a detectable drug concentration after dose escalation, even though ADAs persisted [20]. In these settings it is imperative to closely follow the clinical course for changes in inflammation and drug related side effects.
Low level ADAs, particularly if using a drug tolerant assay, are common and often disappear over time [21]. These likely represent clinically insignificant, non-neutralizing antibodies. Addition of an immunomodulator can eliminate these ADAs [22,23]. High antibody concentration with a non-low drug concentration may reflect lab error. In these cases, repeating the drug concentration and ADA with a different assay (e.g., drug tolerant) may provide more data. Ultimately, clinical context is still required. Table 1 summarizes the likelihood of neutralizing antibodies based on the serum drug and anti-drug antibody concentration.
In the setting of recurrent inflammation with low/absent serum trough concentrations, and high ADAs, the best choice is to stop the current therapy and proceed to another biologic. The provider must consider the future risk of anti-drug antibodies with another biologic therapy. Patients who develop ADAs to one biologic are more likely to develop repeat ADAs to another biologic [24]. Consideration should be given to adjunct therapy with an immunomodulator to prevent ADAs, [25] using a biologic with a baseline low immunogenicity rate, or using a non-biologic therapy to avoid the concern for ADAs all together.

4.2. Low Trough Concentrations

Active inflammation may improve with a biologic dose escalation in the presence of low serum trough concentrations. However, there is no universal definition of low. There is substantial variation in an individual’s drug concentration-clinical response, making id challenging to identify universal concentration threshold values. The best data regarding a target concentration are from the TAXIT study, a randomized controlled trial of a TDM strategy versus empiric dose escalation for patients with Crohn’s disease on infliximab. In the optimization phase, patients with Crohn’s disease were more likely to be in remission after a dose escalation for infliximab trough concentrations under 3 μg/mL [26]. However, using other outcomes different infliximab cut-offs can be identified: 3–5 μg/mL for clinical disease, [27] 8–12 μg/mL for endoscopic remission, [28] and 18–20 μg/mL for fistula healing [29,30]. As noted above, low trough concentrations from population cohort studies are problematic as they do not inform an individual’s inflammatory pathway activity. The concentration is not the target. The true target is suppression of an inflammatory pathway, which we cannot effectively measure. The appropriate clinical question is not “what drug level should I aim for”, but “will this patient’s inflammation regress with a dose escalation?” There is no simple answer.
The main benefit to reactive-TDM is in the identification of ADAs. Sparing a patient any dose of a biologic that is no longer effective is beneficial and cost effective [31,32,33]. However, in the absence of ADAs it is unclear what the upper limit of a serum drug concentration should be. If on standard maintenance dosing without ADAs, dose escalation should strongly be considered. For patients already dose escalated, but with still low levels, there are little data to guide. Patients with concentrations under 10–12 μg/mL (for anti-TNFs) may still benefit from dose escalation. Some early data suggest that trough concentrations have little effect on predicting dose escalation to vedolizumab [14,34]. Ultimately, having objective measures of inflammation, and prespecified time points to assess a change in inflammation (6–12 weeks typically) are key to determining success or failure of a dose change.

4.3. Subclinical Inflammation

Until now, no distinction has been made between inflammation causing clinical symptoms and ongoing intestinal inflammation without any gastrointestinal symptoms, i.e., subclinical inflammation. In the setting of subclinical inflammation, therapy optimization based on trough concentrations can be quite helpful. This is essentially “reactive TDM”, although with some important nuance. Consider the following scenario. Biologic A gets a patient into clinical remission, but the patient has ongoing endoscopic inflammation. The provider checks a trough concentration of biologic A, which returns in the “therapeutic” range. In typical reactive TDM (i.e., with clinical symptoms from inflammation), changing biologics to a different mechanism would be appropriate. However, in this case, presumably the clinical remission is due to biologic A. Changing to therapy B could lead to a clinical disease recurrence. This is not to say that changing biologic therapy is wrong. Changing to therapy B could lead to both clinical and endoscopic remission. Or increasing the dose of biologic A further could result in complete suppression of inflammation. In these situations, a discussion with the patient on the risks and benefits is essential. The decision should include how many other therapies have been tried, the risks of ongoing inflammation (e.g., colon cancer in the setting of PSC), and the patient’s treatment goals. A holistic approach to an individual can help determine the need for treatment modification. For example, certain comorbidities (e.g., venous thromboembolism) or extra-intestinal manifestations of IBD (e.g., arthritis) may sway a provider to escalate or change a biologic despite the lack of GI symptoms. Managing subclinical inflammation does not lend itself well to an algorithm, and falls more into an art.

5. Reactive Therapeutic Drug Monitoring during Induction Therapy

The concept of “primary non-response” is simple on face value: A medication fails to control inflammation because it is not targeting the correct inflammatory pathway(s). Unfortunately, as noted previously, we do not have a measurement what inflammatory pathways are overactive in an individual patient; nor do we have a measure of if that pathway responded to a given therapy. Thus, two problems exist with primary non-response: (1) was the therapy underdosed and (2) was enough time given to see a benefit. TDM may help a provider determine if a primary non-responder is due to underdosing of a biologic therapy.
To date, drug trials in IBD use fixed dosing strategies for large, randomized placebo-controlled studies. For medications with reproducible pharmacokinetics, this process works well. However, with biologic therapy, there is wide individual variation in the serum concentration that is also dependent on the disease. In cases of acute-severe colitis, infliximab loss in the stool through a protein losing colopathy is well documented [6]. The disease process has a negative feedback loop on the drug itself. As such, there are observational data that accelerated induction dosing of infliximab for acute, severe ulcerative colitis decreases the early colectomy rates [35]. However, increasing all induction dosing is not likely to be an effective strategy. A recent study of high dose adalimumab versus standard dose adalimumab did not improve post induction remission rates for Crohn’s disease or ulcerative colitis [36,37]. These are important studies, yet they are not evaluating TDM in induction. The goal of TDM in induction is to identify the subpopulation that is most likely to benefit from escalated induction dosing.
An induction TDM strategy presents some practical problems. First, and most importantly, there is a dearth of data on drug concentrations in the induction phase. An extensive review by Sparrow et al. thoroughly summarizes the post induction concentration data to date [38]. The authors note the current data are from observational studies and post-hoc analysis of clinical trials. While this is currently a knowledge gap, there exist several ongoing trials incorporating TDM into the induction period (e.g., NCT03029143). Second, the turnaround time for the results of drug concentration testing can make dose adjustments in the induction phase difficult. Most clinicians do not have “in-house” drug concentration assays and rely on a runaround time of a week or more for the information to return. Fortunately, ADAs are less common in the induction phase. Therefore, empiric dose escalation may be a more useful clinical strategy. Risk calculators or dashboards exist and are being developed (e.g., NCT04835506) aid in induction TDM decisions [39,40].
A recent trial of randomized controlled trial of proactive TDM dosed infliximab versus standard dosed infliximab in Norway (NOR-DRUM Part A) did not identify a benefit of clinical remission across a number of inflammatory conditions (including IBD) [41]. This trial highlights the importance of clinical context paired with TDM. The trial protocol had strict escalation and de-escalation criteria to achieve infliximab concentrations in a pre-set therapeutic range, regardless of inflammatory status. While “proactive”, this approach is not “personalized”. Strict therapeutic ranges without the context of the inflammatory status are not likely to be useful strategies.
Overall, reactive TDM in the induction phase is like TDM in the maintenance phase. On standard dosing, if a patient is not responding to a therapy, the goal of TDM is to identify anti-drug antibodies. Without anti-drug antibodies, it is likely that standard dosed biologic therapy should be escalated.

6. Therapeutic Drug Monitoring When a Patient Is in Deep Remission

In the absence of inflammation or a suspected antibody mediated side effect, TDM does not have a direct clinical benefit to a patient. Meaning the knowledge of the serum drug concentration and ADA status and subsequent therapeutic changes will not immediately improve a patient’s quality of life. The most important role of TDM in this setting is the identification of anti-drug antibodies. Potentially 15% of patients with a stable clinical response or remission will have undetectable serum drug and positive ADAs to infliximab [26,27]. At this point the provider needs to determine if the patient should be de-escalated from biologic therapy completely or transition to a new therapy. The decision to perform TDM in deep should depend on the underlying risk of immunogenicity. If the risk of immunogenicity is quite small (no prior history of ADA, patient on combination therapy with immunomodulator, or using a biologic with low ADA rate), then the benefit of TDM is low. Likely the greatest benefit of TDM in deep remission is with anti-TNF monotherapy.

7. Special Situations

7.1. Reinduction of a Biologic Therapy

Re-starting a biologic runs the risk of inducing anti-drug antibodies [42]. The greatest risk of infusion reaction is with the second re-induction dose. Identification of anti-drug antibodies after the first dose can spare a patient an infusion reaction with the second dose [43]. A practical way to implement this strategy is to alter the induction dose for infusions. For infliximab, an induction schedule could be at week 0, 4, and 8. A serum drug concentration and antibody status at week 2 can inform the presence of antibodies and determine subsequent dosing. For self-injectable biologic therapies, it is not possible to alter the induction schedule in the same way. Obtaining a drug level 1–2 weeks after the first dose is helpful, but given the typical turnaround time, the information may not be back before administration of the second dose.

7.2. De-Escalation of Therapy

After a patient is in remission on combination therapy with a biologic therapy and immunomodulator, a provider may consider stopping the immunomodulator and continuing biologic monotherapy to maintain remission. This is a reasonable strategy to minimize long term side effects of dual immunosuppression. Immunomodulator cessation may reduce serum biologic concentrations. Obtaining a serum drug concentration while on combination therapy can help to guide de-escalation. The risk is the development of ADAs after stopping the immunomodulator. In the case of very low trough concentrations, providers may consider dose escalating the biologic prior to stopping the immunomodulator. Or at a minimum, repeating the serum drug concentration on monotherapy soon after de-escalation.
TDM may also aide in biologic de-escalation in the maintenance phase. Some patients can successfully de-escalate the dose of a biologic [44]. In the STORI trial, where patients on infliximab and a thiopurine stopped the infliximab, those with low trough concentrations (<2 mg/ul) were less likely to experience a clinical relapse [45]. Measuring both biologic and thiopurine concentration can help inform de-escalation. If one is “subtherapeutic” that may be the best to de-escalate [46]. Informing the patient on the potential long-term risks of therapy de-escalation is essential, and this strategy should be individualized with close follow-up.

7.3. Suspicion for Antibody Mediated Side Effects

ADAs can cause a number adverse clinical effects. Most common is disease recurrence in the setting of rapidly cleared drug. ADAs can also lead to infusion reactions, both acute and delayed [47]. Most data on TDM to guide dosing are based on trough concentrations. However, when the question pertains to a potential side effect, non-trough levels may be helpful. Knowledge of the drug and antibody assay is essential in these cases. As noted before, most assays in clinical practice can only detect ADAs when the serum drug concentration is very low or absent. In this case, drawing the drug concentration too early may fail to identify antibodies. For infusion-based biologics, waiting 4-weeks post infusion should be sufficient for clinically significant antibodies to clear the serum drug and be identified. For subcutaneous biologics, it is likely best to obtain a trough measurement. Alternatively, use of a TDM assay that can measure ADAs in the presence of circulating drug can circumvent this issue.

8. Conclusions

TDM is an extremely useful tool in the management of IBD patients on biologic therapies. However, TDM is only helpful in the context of the patient’s inflammatory status and response to therapy. Population pharmacodynamic studies can identify helpful trends in serum drug concentrations but should not be mistaken for individual therapeutic thresholds. Practically, clinicians should always objectively measure inflammation at the time of TDM. Clinicians should also have a working understanding of the risk of immunogenicity of a given biologic therapy in a patient. Finally, clinicians using a TDM based strategy should understand what question they are trying to answer before a drug concentration is measured (Figure 1). TDM should be used as a form of personalized medicine incorporating the clinical inflammatory status, therapeutic options, and individual goals of care. Rather than focus too much on reactive or proactive TDM, we should focus on personalized TDM.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Conflicts of Interest

Vaughn has received consulting fees from Prometheus Laboratories and grant support from Genentech, Takeda, Celgene, and Diasorin. The funders had no role in the writing of this manuscript.

References

  1. Argollo, M.; Kotze, P.G.; Kakkadasam, P.; D’Haens, G. Optimizing biologic therapy in IBD: How essential is therapeutic drug monitoring? Nat. Rev. Gastroenterol. Hepatol. 2020, 17, 702–710. [Google Scholar] [CrossRef] [PubMed]
  2. Vermeire, S.; Dreesen, E.; Papamichael, K.; Dubinsky, M.C. How, When, and for Whom Should We Perform Therapeutic Drug Monitoring? Clin. Gastroenterol. Hepatol. 2020, 18, 1291–1299. [Google Scholar] [CrossRef]
  3. Casteele, N.V.; Feagan, B.G.; Gils, A.; Vermeire, S.; Khanna, R.; Sandborn, W.J.; Levesque, B.G. Therapeutic Drug Monitoring in Inflammatory Bowel Disease: Current State and Future Perspectives. Curr. Gastroenterol. Rep. 2014, 16, 1–8. [Google Scholar] [CrossRef]
  4. Chiu, Y.-L.; Rubin, D.T.; Vermeire, S.; Louis, E.; Robinson, A.M.; Lomax, K.G.; Pollack, P.F.; Paulson, S.K. Serum Adalimumab Concentration and Clinical Remission in Patients with Crohn’s Disease. Inflamm. Bowel Dis. 2013, 19, 1112–1122. [Google Scholar] [CrossRef] [PubMed]
  5. Osterman, M.T.; Rosario, M.; Lasch, K.; Barocas, M.; Wilbur, J.D.; Dirks, N.L.; Gastonguay, M.R. Vedolizumab exposure levels and clinical outcomes in ulcerative colitis: Determining the potential for dose optimisation. Aliment. Pharmacol. Ther. 2019, 49, 408–418. [Google Scholar] [CrossRef] [Green Version]
  6. Brandse, J.F.; Brink, G.R.V.D.; Wildenberg, M.E.; van der Kleij, D.; Rispens, T.; Jansen, J.M.; Mathôt, R.A.; Ponsioen, C.Y.; Löwenberg, M.; D’Haens, G.R. Loss of Infliximab Into Feces Is Associated with Lack of Response to Therapy in Patients with Severe Ulcerative Colitis. Gastroenterology 2015, 149, 350–355.e2. [Google Scholar] [CrossRef] [Green Version]
  7. Szántó, K.J.; Madácsy, T.; Kata, D.; Ferenci, T.; Rutka, M.; Bálint, A.; Bor, R.; Fábián, A.; Milassin, Á.; Jójárt, B.; et al. Advances in the optimization of therapeutic drug monitoring using serum, tissue and faecal anti-tumour necrosis factor concentration in patients with inflammatory bowel disease treated with TNF-α antagonists. Expert Opin. Biol. Ther. 2021, 21, 539–548. [Google Scholar] [CrossRef]
  8. Ryman, J.T.; Meibohm, B. Pharmacokinetics of Monoclonal Antibodies. CPT: Pharmacomet. Syst. Pharmacol. 2017, 6, 576–588. [Google Scholar] [CrossRef]
  9. Papamichael, K.; Cheifetz, A.S.; Melmed, G.Y.; Irving, P.M.; Casteele, N.V.; Kozuch, P.L.; Raffals, L.E.; Baidoo, L.; Bressler, B.; Devlin, S.M.; et al. Appropriate Therapeutic Drug Monitoring of Biologic Agents for Patients with Inflammatory Bowel Diseases. Clin. Gastroenterol. Hepatol. 2019, 17, 1655–1668.e3. [Google Scholar] [CrossRef] [Green Version]
  10. Peyrin-Biroulet, L.; Sandborn, W.; Sands, B.E.; Reinisch, W.; Bemelman, W.; Bryant, R.V.; D’Haens, G.; Dotan, I.; Dubinsky, M.; Feagan, B.; et al. Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE): Determining Therapeutic Goals for Treat-to-Target. Am. J. Gastroenterol. 2015, 110, 1324–1338. [Google Scholar] [CrossRef] [PubMed]
  11. Sorrentino, D.; Gray, J.M. Timely Monitoring of Inflammation by Fecal Lactoferrin Rapidly Predicts Therapeutic Response in Inflammatory Bowel Disease. Inflamm. Bowel Dis. 2021, 27, 1237–1247. [Google Scholar] [CrossRef] [PubMed]
  12. Afif, W.; Loftus, E.; Faubion, W.A.; Kane, S.V.; Bruining, D.H.; Hanson, K.A.; Sandborn, W.J. Clinical Utility of Measuring Infliximab and Human Anti-Chimeric Antibody Concentrations in Patients with Inflammatory Bowel Disease. Am. J. Gastroenterol. 2010, 105, 1133–1139. [Google Scholar] [CrossRef] [PubMed]
  13. Roblin, X.; Rinaudo, M.; Del Tedesco, E.; Phelip, J.M.; Genin, C.; Peyrin-Biroulet, L.; Paul, S. Development of an Algorithm Incorporating Pharmacokinetics of Adalimumab in Inflammatory Bowel Diseases. Am. J. Gastroenterol. 2014, 109, 1250–1256. [Google Scholar] [CrossRef]
  14. Vaughn, B.P.; Yarur, A.J.; Graziano, E.; Campbell, J.P.; Bhattacharya, A.; Lee, J.Y.; Gheysens, K.; Papamichael, K.; Osterman, M.T.; Cheifetz, A.S.; et al. Vedolizumab Serum Trough Concentrations and Response to Dose Escalation in Inflammatory Bowel Disease. J. Clin. Med. 2020, 9, 3142. [Google Scholar] [CrossRef]
  15. Nanda, K.S.; Cheifetz, A.S.; Moss, A.C. Impact of Antibodies to Infliximab on Clinical Outcomes and Serum Infliximab Levels in Patients with Inflammatory Bowel Disease (IBD): A Meta-Analysis. Am. J. Gastroenterol. 2013, 108, 40–47. [Google Scholar] [CrossRef] [Green Version]
  16. O’Meara, S.; Nanda, K.S.; Moss, A. Antibodies to Infliximab and Risk of Infusion Reactions in Patients with Inflammatory Bowel Disease. Inflamm. Bowel Dis. 2014, 20, 1–6. [Google Scholar] [CrossRef]
  17. Bloem, K.; van Leeuwen, A.; Verbeek, G.; Nurmohamed, M.T.; Wolbink, G.J.; van der Kleij, D.; Rispens, T. Systematic comparison of drug-tolerant assays for anti-drug antibodies in a cohort of adalimumab-treated rheumatoid arthritis patients. J. Immunol. Methods 2015, 418, 29–38. [Google Scholar] [CrossRef] [PubMed]
  18. Sandborn, W.J.; Wolf, U.C.; Kosutic, G.; Parker, G.; Schreiber, S.; Lee, S.D.; Abraham, B.; Afzali, A.; Arsenescu, R.I.; Gutierrez, A.; et al. Effects of Transient and Persistent Anti-drug Antibodies to Certolizumab Pegol. Inflamm. Bowel Dis. 2017, 23, 1047–1056. [Google Scholar] [CrossRef]
  19. Shankar, G.; Arkin, S.; Cocea, L.; Devanarayan, V.; Kirshner, S.; Kromminga, A.; Quarmby, V.; Richards, S.; Schneider, C.K.; Subramanyam, M.; et al. Assessment and Reporting of the Clinical Immunogenicity of Therapeutic Proteins and Peptides—Harmonized Terminology and Tactical Recommendations. AAPS J. 2014, 16, 658–673. [Google Scholar] [CrossRef] [Green Version]
  20. Jasurda, J.S.; McCabe, R.P.; Vaughn, B.P. Adalimumab Concentration Changes after Dose Escalation in Inflammatory Bowel Disease. Ther. Drug Monit. 2021, 43, 645–651. [Google Scholar] [CrossRef]
  21. Van Stappen, T.; Vande Casteele, N.; Van Assche, G.; Ferrante, M.; Vermeire, S.; Gils, A. Clinical relevance of detecting anti-infliximab antibodies with a drug-tolerant assay: Post hoc analysis of the TAXIT trial. Gut 2018, 67, 818–826. [Google Scholar] [CrossRef]
  22. Ben–Horin, S.; Waterman, M.; Kopylov, U.; Yavzori, M.; Picard, O.; Fudim, E.; Awadie, H.; Weiss, B.; Chowers, Y. Addition of an Immunomodulator to Infliximab Therapy Eliminates Antidrug Antibodies in Serum and Restores Clinical Response of Patients with Inflammatory Bowel Disease. Clin. Gastroenterol. Hepatol. 2013, 11, 444–447. [Google Scholar] [CrossRef] [PubMed]
  23. Colman, R.J.; Portocarrero-Castillo, A.; Chona, D.; Hellmann, J.; Minar, P.; Rosen, M.J. Favorable Outcomes and Anti-TNF Durability After Addition of an Immunomodulator for Anti-Drug Antibodies in Pediatric IBD Patients. Inflamm. Bowel Dis. 2021, 27, 507–515. [Google Scholar] [CrossRef]
  24. Casteele, N.V.; Abreu, M.T.; Flier, S.; Papamichael, K.; Rieder, F.; Silverberg, M.S.; Khanna, R.; Okada, L.; Yang, L.; Jain, A.; et al. Patients with Low Drug Levels or Antibodies to a Prior Anti–Tumor Necrosis Factor Are More Likely to Develop Antibodies to a Subsequent Anti–Tumor Necrosis Factor. Clin. Gastroenterol. Hepatol. 2021, 6, S1542–S3565. [Google Scholar] [CrossRef]
  25. Colombel, J.-F.; Adedokun, O.J.; Gasink, C.; Gao, L.-L.; Cornillie, F.J.; D’Haens, G.R.; Rutgeerts, P.J.; Reinisch, W.; Sandborn, W.J.; Hanauer, S.B. Combination Therapy with Infliximab and Azathioprine Improves Infliximab Pharmacokinetic Features and Efficacy: A Post Hoc Analysis. Clin. Gastroenterol. Hepatol. 2019, 17, 1525–1532.e1. [Google Scholar] [CrossRef] [Green Version]
  26. Casteele, N.V.; Ferrante, M.; Van Assche, G.; Ballet, V.; Compernolle, G.; Van Steen, K.; Simoens, S.; Rutgeerts, P.; Gils, A.; Vermeire, S. Trough Concentrations of Infliximab Guide Dosing for Patients with Inflammatory Bowel Disease. Gastroenterology 2015, 148, 1320–1329.e3. [Google Scholar] [CrossRef] [PubMed]
  27. Vaughn, B.P.; Martinez-Vazquez, M.; Patwardhan, V.R.; Moss, A.; Sandborn, W.J.; Cheifetz, A.S. Proactive Therapeutic Concentration Monitoring of Infliximab May Improve Outcomes for Patients with Inflammatory Bowel Disease: Results from a pilot observational study. Inflamm. Bowel Dis. 2014, 20, 1996–2003. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Papamichael, K.; Rakowsky, S.; Rivera, C.; Cheifetz, A.S.; Osterman, M.T. Infliximab trough concentrations during maintenance therapy are associated with endoscopic and histologic healing in ulcerative colitis. Aliment. Pharmacol. Ther. 2018, 47, 478–484. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Yarur, A.J.; Kanagala, V.; Stein, D.J.; Czul, F.; Quintero, M.A.; Agrawal, D.; Patel, A.; Best, K.; Fox, C.; Idstein, K.; et al. Higher infliximab trough levels are associated with perianal fistula healing in patients with Crohn’s disease. Aliment. Pharmacol. Ther. 2017, 45, 933–940. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Papamichael, K.; Casteele, N.V.; Jeyarajah, J.; Jairath, V.; Osterman, M.T.; Cheifetz, A.S. Higher Postinduction Infliximab Concentrations Are Associated with Improved Clinical Outcomes in Fistulizing Crohn’s Disease: An ACCENT-II Post Hoc Analysis. Am. J. Gastroenterol. 2021, 116, 1007–1014. [Google Scholar] [CrossRef]
  31. Negoescu, D.M.; Enns, E.A.; Swanhorst, B.; Baumgartner, B.; Campbell, J.P.; Osterman, M.T.; Papamichael, K.; Cheifetz, A.S.; Vaughn, B.P. Proactive Vs Reactive Therapeutic Drug Monitoring of Infliximab in Crohn’s Disease: A Cost-Effectiveness Analysis in a Simulated Cohort. Inflamm. Bowel Dis. 2019, 26, 103–111. [Google Scholar] [CrossRef] [PubMed]
  32. Velayos, F.S.; Kahn, J.G.; Sandborn, W.J.; Feagan, B.G. A Test-based Strategy Is More Cost Effective than Empiric Dose Escalation for Patients with Crohn’s Disease Who Lose Responsiveness to Infliximab. Clin. Gastroenterol. Hepatol. 2013, 11, 654–666. [Google Scholar] [CrossRef] [PubMed]
  33. Roblin, X.; Attar, A.; Lamure, M.; Savarieau, B.; Brunel, P.; Duru, G.; Peyrin-Biroulet, L. Cost savings of anti-TNF therapy using a test-based strategy versus an empirical dose escalation in Crohn’s disease patients who lose response to infliximab. J. Mark. Access Health Policy 2015, 3, 29229. [Google Scholar] [CrossRef] [PubMed]
  34. Ungar, B.; Malickova, K.; Hanžel, J.; Abu Arisha, M.; Paul, S.; Rocha, C.; Ben Shatach, Z.; Abitbol, C.M.; Natour, O.H.; Selinger, L.; et al. Dose optimisation for Loss of Response to Vedolizumab— Pharmacokinetics and Immune Mechanisms. J. Crohn’s Coliti 2021, 15, 1707–1719. [Google Scholar] [CrossRef]
  35. Gibson, D.J.; Heetun, Z.S.; Redmond, C.E.; Nanda, K.S.; Keegan, D.; Byrne, K.; Mulcahy, H.E.; Cullen, G.; Doherty, G. An Accelerated Infliximab Induction Regimen Reduces the Need for Early Colectomy in Patients with Acute Severe Ulcerative Colitis. Clin. Gastroenterol. Hepatol. 2015, 13, 330–335.e1. [Google Scholar] [CrossRef]
  36. D’Haens, G.; Sandborn, W.; Loftus, E.; Hanauer, S.; Schreiber, S.; Peyrin-Biroulet, L.; Panaccione, R.; Panes, J.; Colombel, J.F.; Ferrante, M.; et al. High versus Standard Adalimumab Induction Dosing Regimens in Patients with Moderately to Severely Active Crohn’s Disease: Results from the SERENE-CD Induction Study [UEG Week Abstract LB27]. United Eur. Gastroenterol. J. 2019, 7. Available online: https://ueg.eu/library/high-versus-standard-adalimumab-induction-dosing-regimens-in-patients-with-moderately-to-severely-active-crohns-disease-results-from-the-serene-cd-induction-study/208601 (accessed on 28 September 2021).
  37. Panes, J.; Colombel, J.F.; D’Haens, G.; Schreiber, S.; Panaccione, R.; Peyrin-Biroulet, L.; Loftus, E.; Danese, S.; Louis, E.; Armuzzi, A.; et al. High versus Standard Adalimumab Induction Dosing Regimens in Patients with Moderately to Severely Active Ulcerative Colitis: Results from the SERENE-UC Induction Study [UEG Week Abstract OP216]. United Eur. Gastroenterol. J. 2019, 7. Available online: https://www.ecco-ibd.eu/publications/congress-abstracts/item/op01-higher-vs-standard-adalimumab-maintenance-regimens-in-patients-with-moderately-to-severely-active-ulcerative-colitis-results-from-the-serene-uc-maintenance-study.html (accessed on 28 September 2021).
  38. Sparrow, M.P.; Papamichael, K.; Ward, M.G.; Riviere, P.; Laharie, D.; Paul, S.; Roblin, X. Therapeutic Drug Monitoring of Biologics During Induction to Prevent Primary Non-Response. J. Crohn’s Coliti 2020, 14, 542–556. [Google Scholar] [CrossRef]
  39. Strik, A.S.; Löwenberg, M.; Mould, D.R.; Berends, S.E.; Ponsioen, C.I.; Brande, J.M.H.V.D.; Jansen, J.M.; Hoekman, D.R.; Brandse, J.F.; Duijvestein, M.; et al. Efficacy of dashboard driven dosing of infliximab in inflammatory bowel disease patients; A randomized controlled trial. Scand. J. Gastroenterol. 2021, 56, 145–154. [Google Scholar] [CrossRef]
  40. Dave, M.B.; Dherai, A.J.; Desai, D.C.; Mould, D.R.; Ashavaid, T.F. Optimization of infliximab therapy in inflammatory bowel disease using a dashboard approach—An Indian experience. Eur. J. Clin. Pharmacol. 2021, 77, 55–62. [Google Scholar] [CrossRef]
  41. Syversen, S.W.; Goll, G.L.; Jørgensen, K.K.; Sandanger, Ø.; Sexton, J.; Olsen, I.C.; Gehin, J.E.; Warren, D.J.; Brun, M.K.; Klaasen, R.A.; et al. Effect of Therapeutic Drug Monitoring vs Standard Therapy During Infliximab Induction on Disease Remission in Patients with Chronic Immune-Mediated Inflammatory Diseases. JAMA 2021, 325, 1744–1754. [Google Scholar] [CrossRef]
  42. Rutgeerts, P.; Feagan, B.G.; Lichtenstein, G.R.; Mayer, L.F.; Schreiber, S.; Colombel, J.F.; Rachmilewitz, D.; Wolf, D.C.; Olson, A.; Bao, W.; et al. Comparison of scheduled and episodic treatment strategies of infliximab in Crohn’s disease. Gastroenterology 2004, 126, 402–413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Baert, F.; Drobne, D.; Gils, A.; Casteele, N.V.; Hauenstein, S.; Singh, S.; Lockton, S.; Rutgeerts, P.; Vermeire, S. Early Trough Levels and Antibodies to Infliximab Predict Safety and Success of Reinitiation of Infliximab Therapy. Clin. Gastroenterol. Hepatol. 2014, 12, 1474–1481.e2. [Google Scholar] [CrossRef] [Green Version]
  44. Peris, M.A.; Bosó, V.; Navarro, B.; Marqués-Miñana, M.R.; Bastida, G.; Beltrán, B.; Iborra, M.; Sáez-González, E.; Monte-Boquet, E.; Poveda-Andrés, J.L.; et al. Serum Adalimumab Levels Predict Successful Remission and Safe Deintensification in Inflammatory Bowel Disease Patients in Clinical Practice. Inflamm. Bowel Dis. 2017, 23, 1454–1460. [Google Scholar] [CrossRef]
  45. Louis, E.; Mary, J.; Vernier–Massouille, G.; Grimaud, J.; Bouhnik, Y.; Laharie, D.; Dupas, J.; Pillant, H.; Picon, L.; Veyrac, M.; et al. Maintenance of Remission Among Patients with Crohn’s Disease on Antimetabolite Therapy After Infliximab Therapy Is Stopped. Gastroenterology 2012, 142, 63–70.e5. [Google Scholar] [CrossRef] [PubMed]
  46. Hanauer, S.B. A Never Ending STORI. Clin. Gastroenterol. Hepatol. 2018, 16, 1034–1036. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Cheifetz, A.; Smedley, M.; Martin, S.; Reiter, M.; Leone, G.; Mayer, L.; Plevy, S. The Incidence and Management of Infusion Reactions to Infliximab: A Large Center Experience. Am. J. Gastroenterol. 2003, 98, 1315–1324. [Google Scholar] [CrossRef]
Figure 1. Algorithm of key questions to consider prior to implementing therapeutic drug monitoring (TDM) in clinical practice. Clinical benefit refers to immediate symptomatic improvement. Clinicians should have a clear understanding of the disease status prior to TDM and be able to articulate to the patient the benefit of a dose change in response to the natural history of the disease. In some cases of low-level antibodies, it may be appropriate to add an immunomodulator (IMM) to the current therapy to eliminate anti-drug antibodies. This choice should be individualized based on other available therapies and risks of dual immunosuppression for patient.
Figure 1. Algorithm of key questions to consider prior to implementing therapeutic drug monitoring (TDM) in clinical practice. Clinical benefit refers to immediate symptomatic improvement. Clinicians should have a clear understanding of the disease status prior to TDM and be able to articulate to the patient the benefit of a dose change in response to the natural history of the disease. In some cases of low-level antibodies, it may be appropriate to add an immunomodulator (IMM) to the current therapy to eliminate anti-drug antibodies. This choice should be individualized based on other available therapies and risks of dual immunosuppression for patient.
Jcm 10 04990 g001
Table 1. Framework for evaluating detectable biologic trough concentration and detectable anti-drug antibodies.
Table 1. Framework for evaluating detectable biologic trough concentration and detectable anti-drug antibodies.
Serum Drug Concentration
“High” concentration“Low” concentration
Serum Anti-drug
Antibody
Concentration
“High” antibodies
  • Neutralizing antibodies unlikely
  • Consider lab error
  • Consider repeating
  • Neutralizing antibodies likely
  • Consider within class change
“Low”
antibodies
  • Neutralizing antibodies unlikely
  • Consider repeating
  • Neutralizing antibodies possible
  • Consider dose escalation or
    addition of IMM
IMM: Immunomodulator. Assuming trough concentrations at standard maintenance dosing, anti-drug antibodies in the presence of adequate or high serum drug concentration are unlikely to be neutralizing. Low serum drug concentrations increase the chance of neutralizing antibodies. Any antibody in the setting of probable drug mediated side effects may still be clinically significant.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vaughn, B.P. A Practical Guide to Therapeutic Drug Monitoring of Biologic Medications for Inflammatory Bowel Disease. J. Clin. Med. 2021, 10, 4990. https://doi.org/10.3390/jcm10214990

AMA Style

Vaughn BP. A Practical Guide to Therapeutic Drug Monitoring of Biologic Medications for Inflammatory Bowel Disease. Journal of Clinical Medicine. 2021; 10(21):4990. https://doi.org/10.3390/jcm10214990

Chicago/Turabian Style

Vaughn, Byron P. 2021. "A Practical Guide to Therapeutic Drug Monitoring of Biologic Medications for Inflammatory Bowel Disease" Journal of Clinical Medicine 10, no. 21: 4990. https://doi.org/10.3390/jcm10214990

APA Style

Vaughn, B. P. (2021). A Practical Guide to Therapeutic Drug Monitoring of Biologic Medications for Inflammatory Bowel Disease. Journal of Clinical Medicine, 10(21), 4990. https://doi.org/10.3390/jcm10214990

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop