Literature DB >> 27081419

From Individualized Treatment of Sickle Cell Pain to Precision Medicine: A 40-Year Journey.

Samir K Ballas1.   

Abstract

In the 1970s, sickle cell pain was treated with trial and error approach by increasing or decreasing the dose of an opioid or switching from one analgesic to another. This approach was controversial with criticism and doubt about its usefulness. Since then, advances in determining the structure of opioid receptors and the role of the CYP450 enzymes in metabolizing opioids revealed that these anatomic and metabolic findings are not the same in all persons, thus explaining the variability in response to opioids among patients. Thus, the "trial and error approach" has a scientific basis after all.

Entities:  

Keywords:  Individualized treatment; Pain; Personalized medicine; Precision medicine; Sickle cell disease

Year:  2016        PMID: 27081419      PMCID: PMC4817573          DOI: 10.14740/jocmr2508w

Source DB:  PubMed          Journal:  J Clin Med Res        ISSN: 1918-3003


Introduction

An infliction in the life expectancy figure of patients with sickle cell disease (SCD) occurred around the middle of the 1970s (Fig. 1). This minimal increase in life expectancy coincided with my appointment at Thomas Jefferson University as the Associate Director of the newly created adult sickle cell center. The number of adults at that time was small and the transition from pediatrics to adult programs was at the age of 18 years. The trickle of patients increased gradually and we were faced with adolescent and young adult African American patients who were in a state of confusion. Stripped from the protective sphere of the pediatric world and the empathy of their pediatric hematologists and the pediatric ancillary staff, they were in a state of fear, anxiety, depression and, worst of all, severe pain. The world of adults was abject, withdrawn, busy, and status oriented. The fact that most patients were barely educated, many without a high school degree, unemployed, mediocre health coverage, and dysfunctional family structure conferred a logarithmic dimension to the problem. Their main hope was to have pain relief.
Figure 1

Life expectancy of patients with sickle cell disease from 1900 through 2010. The arrow indicates the infliction point where life expectancy of patients with sickle cell disease began to increase. Adapted from National Heart, Lung, and Blood Institute. Sickle cell research for treatment and cure (NIH Publication No. 02-5214). Bethesda, MD: US Department of Health and Human Services.

Life expectancy of patients with sickle cell disease from 1900 through 2010. The arrow indicates the infliction point where life expectancy of patients with sickle cell disease began to increase. Adapted from National Heart, Lung, and Blood Institute. Sickle cell research for treatment and cure (NIH Publication No. 02-5214). Bethesda, MD: US Department of Health and Human Services. The steady stream of admissions of patients with acute painful vaso-occlusive crises (VOCs) to the emergency department (ED) and hospital were not welcome by most providers, hospital administration, the house and nursing staffs. There was subtle resentment of the patients that sometimes extended to the hematologists who showed compassion to the patients. Soon labels such as drug addicts, drug-seeking behavior, and hospital hopping and frequent flyer emerged. Listening to and believing the patients and keeping detailed records of ED and hospital admissions and the analgesics prescribed, revealed that most patients genuinely do not respond to a certain analgesic or a certain dose. Increasing the doses of an analgesic or switching to another drug solved the problem in most patients. Soon it became obvious that management of sickle cell pain should be individualized. Accordingly and with the approval of the institutional review board (IRB), I issued an identification wallet-sized, plasticized card that was carried by patients and presented to the provider treating their VOC in the ED, hospital or any other medical facility. Information printed on both sides of the card included: 1) demographic data and a recent photograph; 2) hematological data including reticulocyte count; 3) medical data including the type of SCD, its complications and co-morbidities if present; 4) all medications being taken by the patient and the recommended treatment of VOCs including the name, dose, and the route of administration of the analgesics in question; and 5) my name and contact information for answering questions if needed. It was not expensive to issue these cards. A Polaroid camera available at that time and a laminator were the only equipments needed to issue these cards. Information on the card was revised and updated annually. Details of this endeavor were published in 1990 [1]. With the advent of computerization later on, information on the card was computerized and a printed copy was given to the patient. Reactions to the implementation of this card were mixed. Patients and their families loved it. The patients were very compliant in carrying it as faithfully as they carry their medical cards. Some providers liked it very much because it facilitated having a concise history about the patients. Others denounced it as a gimmick that would allow patients to abuse the system.

Pharmacology of Opioids

While this controversy was brewing, interesting developments in basic science were in progress to understand the pharmacodynamics and pharmacokinetics of opioids. Foremost among these was the mechanism of action of opioids in relieving pain. In the 1970s, it was hypothesized that opioids have receptors to bind to and activate in order to relieve pain [2] by blocking or minimizing the transmission of painful stimuli and raising the pain threshold. It did not take long after that to identify opioids as ligands that bind to stereospecific and saturable receptors in the central nervous system and other tissues [3, 4]. These receptors are transmembranous G proteins with opioids as ligands [5]. In addition, recent elegant studies [6-10] have revealed a helical structure of the opioid receptors, which forms pockets in which the corresponding opioid (ligand) fits snugly (Fig. 2a, b). Receptors mediate two major functions, chemical recognition and physiologic action. Recognition is highly specific, such that only L-isomers of certain opioids exert analgesic activity [11]. The binding affinity varies considerably among opioids [12]. Fentanyl, for example, has higher binding affinity than morphine [11]. The binding affinities of opioids appear to correlate with their analgesic potencies [13]. Physiologically, by binding to receptors, opioids initiate a series of biochemical events including activation of G proteins, inhibition of adenylate cyclase, and extrusion of potassium ions, resulting in hyperpolarization of cell membranes [14-16]; this delays or prevents transmission of painful stimuli. Thus, the riddle why some patients respond to one opioid but not another had a pathophysiologic explanation [17].
Figure 2

Helical structure of opioid receptors. (a) Morphine-like molecule (yellow) in the deep pocket (blue) of the μ-opioid receptor. (b) μ-Opioid receptors from an intimate pair when crystallized with a ligand (yellow) such as morphine. Knowing how an opioid molecule (yellow) sticks in the pocket of its receptor (blue) could help scientists design better analgesics that are more effective and less addictive. Credit: Kobilka Lab, Nature. 2012;485:321-6. Used with permission.

Helical structure of opioid receptors. (a) Morphine-like molecule (yellow) in the deep pocket (blue) of the μ-opioid receptor. (b) μ-Opioid receptors from an intimate pair when crystallized with a ligand (yellow) such as morphine. Knowing how an opioid molecule (yellow) sticks in the pocket of its receptor (blue) could help scientists design better analgesics that are more effective and less addictive. Credit: Kobilka Lab, Nature. 2012;485:321-6. Used with permission. Parallel to the progress in the pharmacodynamics of opioids mentioned above, a concomitant advance in the pharmacokinetics of opioids was bubbling to the surface. The metabolism of opioids includes two major phases [18, 19]. Phase I involves the CYP enzymes and phase II metabolism conjugates the drug to hydrophilic substances, such as glucuronic acid, sulfate, glycine, or glutathione. Glucuronidation is the most important phase II reaction. It is catalyzed by the enzyme uridine diphosphate glucuronyltransferase (UGT). Morphine, hydromorphone and oxymorphone are metabolized by glucuronidation, whereas the majority of the other opioids are metabolized by the cytochrome P450 isoenzyme system. The net effect of an opioid depends on the availability of enzyme(s) to convert it into metabolites that could be active or inactive. Briefly, the CYP2D6 genotypes are categorized into phenotypes based on the activity of the variant enzymes. Ultrarapid metabolizers (UMs) have greater than normal activity due to duplication or triplication, of active alleles [20-23], extensive metabolizers (EMs) have normal enzyme activity, intermediate metabolizers (IMs) have decreased enzyme activity, and poor metabolizers (PMs) have absent or little enzyme activity. Thus, fentanyl, for example, is normally metabolized into inactive metabolites. Patients who are UMs of fentanyl would rapidly convert it into inactive metabolites with minimal or absent analgesic effect requiring increasing the dose of fentanyl. On the other hand, patients who are PMs of fentanyl would experience prompt relief with relatively small doses of fentanyl but higher doses could be toxic due to the accumulation of unmetabolized fentanyl [24]. Phase I metabolism of opioids involves primarily the CYP3A4 and CYP2D6 enzymes. The CYP3A4 enzyme metabolizes more than 50% of all drugs; consequently, opioids metabolized by this enzyme have a high risk of drug-drug interactions [19].

Conclusion

Together, current data on the pharmacodynamics and pharmacokinetics of opioids show great variability of genotypes among patients and extreme variability in individual responses to opioids. Determining the pharmacogenetics profile of each patient facilitates the choice of drugs that would be efficacious for that patient and avoid those drugs associated with harmful drug-drug interaction. This approach in diagnostics and therapeutics ushers in the dawn of a new field for the management of individual patients based on their unique pharmacogenetics, phenotypic and biomarker characteristics. This future approach is referred to as personalized medicine or, more recently, precision medicine [25]. It has already been implemented for certain cancer patients receiving chemotherapy. We hope that this methodology would be approved and sponsored by the insurance companies for patients with SCD. In the meantime, listening, believing and respecting the patient with sickle cell pain should be maintained for now as the approach to individualized therapy.
  23 in total

1.  Opiate receptors in the brain.

Authors:  S H Snyder
Journal:  N Engl J Med       Date:  1977-02-03       Impact factor: 91.245

Review 2.  Opioid receptors.

Authors:  Maria Waldhoer; Selena E Bartlett; Jennifer L Whistler
Journal:  Annu Rev Biochem       Date:  2004       Impact factor: 23.643

Review 3.  The opiate receptors.

Authors:  E J Simon; J M Hiller
Journal:  Annu Rev Pharmacol Toxicol       Date:  1978       Impact factor: 13.820

4.  The effects of morphine- and nalorphine- like drugs in the nondependent and morphine-dependent chronic spinal dog.

Authors:  W R Martin; C G Eades; J A Thompson; R E Huppler; P E Gilbert
Journal:  J Pharmacol Exp Ther       Date:  1976-06       Impact factor: 4.030

Review 5.  Genetic polymorphism in cytochrome P450 2D6 (CYP2D6): Population distribution of CYP2D6 activity.

Authors:  Patricia Neafsey; Gary Ginsberg; Dale Hattis; Babasaheb Sonawane
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2009       Impact factor: 6.393

Review 6.  Genetic predictors of the clinical response to opioid analgesics: clinical utility and future perspectives.

Authors:  Jörn Lötsch; Carsten Skarke; Jürgen Liefhold; Gerd Geisslinger
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

7.  Dose escalation of intravenous irinotecan using oral cefpodoxime: a phase I study in pediatric patients with refractory solid tumors.

Authors:  Lisa M McGregor; Clinton F Stewart; Kristine R Crews; Michael Tagen; Amy Wozniak; Jianrong Wu; M Beth McCarville; Fariba Navid; Victor M Santana; Peter J Houghton; Wayne L Furman; Carlos Rodriguez-Galindo
Journal:  Pediatr Blood Cancer       Date:  2011-04-20       Impact factor: 3.167

8.  [3H]Sufentanil, a superior ligand for mu-opiate receptors: binding properties and regional distribution in rat brain and spinal cord.

Authors:  J E Leysen; W Gommeren; C J Niemegeers
Journal:  Eur J Pharmacol       Date:  1983-02-18       Impact factor: 4.432

9.  Crystal structure of the µ-opioid receptor bound to a morphinan antagonist.

Authors:  Aashish Manglik; Andrew C Kruse; Tong Sun Kobilka; Foon Sun Thian; Jesper M Mathiesen; Roger K Sunahara; Leonardo Pardo; William I Weis; Brian K Kobilka; Sébastien Granier
Journal:  Nature       Date:  2012-03-21       Impact factor: 49.962

10.  Structure of the nociceptin/orphanin FQ receptor in complex with a peptide mimetic.

Authors:  Aaron A Thompson; Wei Liu; Eugene Chun; Vsevolod Katritch; Huixian Wu; Eyal Vardy; Xi-Ping Huang; Claudio Trapella; Remo Guerrini; Girolamo Calo; Bryan L Roth; Vadim Cherezov; Raymond C Stevens
Journal:  Nature       Date:  2012-05-16       Impact factor: 49.962

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