Skip to main content
Frontiers in Pharmacology logoLink to Frontiers in Pharmacology
. 2015 Jun 19;6:125. doi: 10.3389/fphar.2015.00125

Personalized medicine for pathological circadian dysfunctions

Rachel L Skelton 1, Jon M Kornhauser 2, Barbara A Tate 3,*
PMCID: PMC4472982  PMID: 26150790

Abstract

The recent approval of a therapeutic for a circadian disorder has increased interest in developing additional medicines for disorders characterized by circadian disruption. However, previous experience demonstrates that drug development for central nervous system (CNS) disorders has a high failure rate. Personalized medicine, or the approach to identifying the right treatment for the right patient, has recently become the standard for drug development in the oncology field. In addition to utilizing Companion Diagnostics (CDx) that identify specific genetic biomarkers to prescribe certain targeted therapies, patient profiling is regularly used to enrich for a responsive patient population during clinical trials, resulting in fewer patients required for statistical significance and a higher rate of success for demonstrating efficacy and hence receiving approval for the drug. This personalized medicine approach may be one mechanism that could reduce the high clinical trial failure rate in the development of CNS drugs. This review will discuss current circadian trials, the history of personalized medicine in oncology, lessons learned from a recently approved circadian therapeutic, and how personalized medicine can be tailored for use in future clinical trials for circadian disorders to ultimately lead to the approval of more therapeutics for patients suffering from circadian abnormalities.

Keywords: personalized medicine, circadian disorders, circadian therapeutics, patient enrollment, companion diagnostics, targeted therapeutics

Introduction

The approval of HETLIOZ® (tasimelteon) for Non-24 disorder has reignited an interest in developing therapeutics for circadian abnormalities. However, as the history of tasimelteon demonstrates, the path to approval of a drug for a circadian dysfunction is not an easy one. One component of the challenge is the ability to match the therapeutic approach to the patient most likely to benefit from the intervention, a model often called personalized medicine. Patient selection or optimization of therapy is guided in some indications by genetic or biochemical markers which point to the underlying molecular mechanisms causing disease. In central nervous system (CNS) disorders, genetic markers have been difficult to pinpoint, possibly because the clinical symptoms actually represent multiple diseases with different molecular drivers. However, treating circadian dysfunction has an advantage over other CNS disorders, in that the phenotype of the disorder is relatively easy to measure, is highly translatable from animal models to humans, and modulation of the phenotype can be quantified, providing an accessible proof of mechanism biomarker. Here we review the recent history of clinical trials for circadian disorders; conduct a comparison to oncology, where personalized approaches have greatly improved success for therapeutics; and discuss the challenges that remain in circadian medicine to incorporate personalized approaches to improve the approval rate of medicines for circadian disorders.

Background

Circadian clocks regulate a plethora of biological processes. Cellular processes such as gene expression and physiological processes such as body temperature, hormone and neurotransmitter release, as well as behaviors including activity, sleep, learning and memory are under circadian control. Recent advances in understanding the molecular components of the clock, together with global transcriptome approaches, provided insight into the vast extent of the genetic landscape regulated by the clock, helping to explain at the molecular level how such a variety of physiological systems are circadian-regulated. The cycling clock proteins (BMAL1, CLOCK, PER-1 and -2, CRY-1 and -2) directly bind to gene regulatory elements and regulate thousands of transcripts in multiple tissues in a temporally coordinated manner (Koike et al., 2012). Recent genome-wide studies have shown that an astonishing 43% of genes are transcribed with a rhythmic pattern in a largely tissue-specific manner (Zhang et al., 2014). Finally, epigenetic mechanisms of gene regulation are also clock-controlled; a large number of non-coding RNAs are rhythmically expressed. Among these cycling mRNAs, only about half are regulated by de novo transcription; post-transcriptional regulation is also modulated by circadian input.

This recent understanding of the enormous impact of the clock on the human organism and the elucidation of the molecular components of the clock provide the pharmaceutical industry with potential targets that should prove fruitful for the discovery and development of new therapeutics. As of late 2014, there were 34 open clinical trials listed at https://clinicaltrials.gov/ that included the keyword “circadian.” The purpose of several of these trials is to phenotype circadian rhythms in specific patient populations, for example the NIAAA study on the circadian dopamine rhythm in cocaine addicts (Table 1, NCT02233829) and the UCSF study on sleep disruption and delirium (Table 1, NCT01280097). Other trials are studying behavioral interventions to alter circadian rhythms, for example a study at Rhode Island Hospital using chronobiological interventions to treat post-partum depression (Table 1, NCT02053649). Several studies are testing the efficacy of melatonin in various patient populations or the efficacy of the approved drugs Modafinil, Circadin, and tasimelteon for new indications. Disappointingly, no trials listed novel agents for primary circadian disorders, such as advanced- or delayed-phase syndromes, or for circadian disorders secondary to other diseases, such as sundowning in Alzheimer's disease patients, despite the prevalence of these disorders. Sundowning, for instance, has been reported in 2.4–25% patients diagnosed with Alzheimer's disease (AD). Thus, it appears that drug development for circadian dysfunction remains an under-invested area, although the growing understanding of the profound impact of circadian patterns of expression of the majority of human genes in both healthy and sick individuals may stimulate research into potential therapies for circadian disorders. Several major pharmaceutical companies appear to be invested in programs aimed at molecular targets associated with circadian biology. These including programs on inhibitors of casein kinase 1 (CK1, Pfizer, and Amgen) (Sprouse et al., 2010; Long et al., 2012), which is also a target of interest in oncology. In addition, the growing appreciation of the intimate role of clock proteins in metabolism is reflected in research programs in major pharmaceutical and several biotech companies, including projects examining Cry1 [Griebel et al., 2014; Reset Therapeutics (http://resettherapeutics.com/programs/)] and REV-ERB (Kojetin and Burris, 2014).

Table 1.

Open drug intervention clinical trials in clinicaltrials.gov that include “circadian,” “clock,” or “chronobiology” as a keyword.

Sponsor/Collaborators Interventions Conditions Phase NCT Number
University of Chicago Drug: exenatide and Placebo Type 2 diabetes; sleep disordered breathing NP NCT01136798
Xinhua Hospital; Shanghai Jiao Tong University School of Medicine Drug: etomidate; midazolam; propofol Congenital hydronephrosis; congenital choledochal cyst; fracture Phase 4 NCT02013986
Universitätsklinikum Hamburg-Eppendorf Drug: Melatonin 2 mg and Placebo Healthy night shift workers, sleep disorders Phase 3 NCT02108353
Mount Sinai School of Medicine; National Institute of Mental Health (NIMH) Drug: Modafinil and Placebo Bipolar disorder Phase 4 NCT01965925
Stanford University; Patient Centered Outcome Research Institute Other: CONV care for the diagnosis and treatment of sleep disorders Other: PCCM for the diagnosis and treatment of sleep disorders Obstructive sleep apnea of adult; insomnia; circadian rhythm sleep disorder, unspecified type; restless legs syndrome; narcolepsy and hypersomnia NP NCT02037438
National Institute on Alcohol Abuse and Alcoholism (NIAAA); National Institutes of Health Clinical Center (CC) Drug: brain dopamine reactivity methylphenidate; brain dopamine receptor C-11 raclopride Cocaine abuse Phase 0 NCT02233829
Rhode Island Hospital; The Depressive and Bipolar Disorder Alternative Treatment Foundation Behavioral: triple chronotherapy; usual care Depression; major depressive disorder; post-partum depression NP NCT02053649
Hopital Foch Drug: propofol; remifentanil Anesthesia, general Phase 3 NCT00896714
University of California, San Francisco; Masimo Labs NP Delirium; sleep disorders, circadian rhythm NP NCT01280097
National Human Genome Research Institute (NHGRI); National Institutes of Health Clinical Center (CC) Drug: dTR Melatonin (NIH CC PDS); melatonin CR Device: phototherapy (bright light) Developmental delay disorders; chromosome deletion; mental retardation; sleep disorders, circadian rhythm; self-injurious behavior Phase 1 NCT00506259
Oregon Health and Science University Drug: melatonin Behavioral: regular sleep schedule; light Insomnia; blindness; daytime sleepiness NP NCT00911053
Hospital de Clinicas de Porto Alegre Drug: melatonin and Placebo; amitriptyline and Placebo; melatonin and amitriptylin Fibromyalgia Phase 2 Phase 3 NCT02041455
Paracelsus Medical University; Technische Universität München Drug: testosterone supplementation Circadian; exercise; testosterone NP NCT02134470
Sogo Rinsho Médéfi Co., Ltd.; Takeda Drug: azilsartan; amlodipine Hypertension NP NCT01762501
Ann & Robert H Lurie Children's Hospital of Chicago; Children's Research Institute Drug: prednisone and Placebo Duchenne Muscular Dystrophy (DMD) Phase 2 NCT02036463
Brigham and Women's Hospital Biological: melatonin and Placebo Delayed sleep phase disorder; jet-lag; shift-work disorder NP NCT00950885
Oregon Health and Science University; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Dietary supplement: melatonin Biological: melatonin Blindness NP NCT00691444
Prince of Songkla University Device: selective laser trabeculoplasty Drug: travoprost Intraocular pressure Phase 4 NCT02105311
Neurim Pharmaceuticals Ltd. Drug: circadin 2/5/10 mg and Placebo Sleep disorders Phase 3 NCT01906866
Hospices Civils de Lyon Drug: melatonin and Placebo Sleep disorders Phase 2 NCT01993251
University of Vigo Drug: aspirin Type 2 diabetes Phase 4 NCT00725127
University of Bergen Drug: paracetamol and buprenorphine; paracetamol and Placebo; buprenorphine and Placebo Depression; pain; dementia Phase 4 NCT02267057
University of Pittsburgh; National Heart, Lung, and Blood Institute (NHLBI) Behavioral: modified ME intervention; education only Sleep apnea, obstructive Phase 1 NCT01377584
Herlev Hospital Drug: melatonin, N-acetyl-5-methoxytryptamine; isotonic saline, natrium chloride Acute myocardial infarction; ischemia-reperfusion injury Phase 2 NCT01172171
Vanda Pharmaceuticals Drug: tasimelteon Smith-Magenis syndrome; circadian Phase 2 NCT02231008
University of British Columbia Drug: melatonin and Placebo Delirium Phase 4 NCT02282241
University of Michigan; University of Pennsylvania; Washington University Early Recognition Center Drug: ISOFLURANE- experimental arm
Other: control group: cognitive testing
Post-operative cognitive dysfunction NP NCT01911195
Haukeland University Hospital Drug: Solu-Cortef; Cortef Addison disease Phase 1 Phase 2 NCT02096510
Charite University; Technische Universität München; University of Erlangen-Nürnberg Medical School; Praxis für Neurologie und Psychiatrie am Prinzregentenplatz, München; Technische Universität Berlin Behavioral: patient centered structured support program Mini-stroke NP NCT01586702
Teva Pharmaceutical Industries; United BioSource Corporation Drug: modafinil; armodafinil Narcolepsy; obstructive sleep apnea; shift work sleep disorder NP NCT01792583
Vanda Pharmaceuticals Drug: tasimelteon Non-24-H sleep-wake disorder Phase 3 NCT01429116
Vanda Pharmaceuticals Drug: tasimelteon Non 24 H sleep wake disorder Phase 3 NCT01218789
Aretaieion University Hospital; Baxter Healthcare Corporation Procedure: maintenance with desflurane
Procedure: maintenance with propofol
Anesthesia; surgery; sleep disorders NP NCT02061514
Endo Pharmaceuticals Drug: morphine Sulfate 30 mg; Oxycodone 20 mg; Morphine 45 mg; Oxycodone 30 mg; Morphine sulfate 15 mg; Oxycodone 10 mg; morphine Sulfate 30 mg; Oxycodone 15 mg Chronic around the clock opioid users Phase 2 NCT01871285
Mundipharma Research GmbH & Co KG Drug: Oxycodone/Naloxone prolonged release (OXN PR) tablets; oxycodone prolonged release (OxyPR) tablets Pain|Constipation Phase 3 NCT01438567
Brigham and Women's Hospital|National Center for Complementary and Integrative Health (NCCIH) Drug: vitamin B12 Sleep disorders, circadian rhythm NCT00120484
Endo Pharmaceuticals|BioDelivery Sciences International Drug: EN3409 Low back pain|Osteoarthritis|Neuropathic pain Phase 3 NCT01755546
Mundipharma Research GmbH & Co KG Drug: Oxycodone; Naloxone Malignant pain|Non-malignant pain Phase 2|Phase 3 NCT02321397
Purdue Pharma LP Drug: Oxycodone/Naloxone controlled-release; Placebo Low back pain Phase 3 NCT01358526
Janssen Pharmaceutical K.K. Drug: tapentadol ER; morphine SR Neoplasms Phase 3 NCT01309386
Purdue Pharma LP Drug: Oxycodone/Naloxone controlled-release; Oxycodone HCl controlled-release; Placebo Low back pain Phase 3 NCT01427270
Purdue Pharma LP Drug: oxycodone/naloxone controlled-release; oxycodone HCl controlled-release; Placebo Low back pain Phase 3 NCT01427283
Oregon Health and Science University|Forest Laboratories Drug: Placebo/escitalopram Depression NCT01214044
Technische Universität München|Cephalon Drug: modafinil (Vigil); Placebo Depression Phase 2 NCT00670813
University of Copenhagen| Rigshospitalet, Denmark Drug: erythropoietin (Epoetin-beta, NeoRecormon); erythropoietin (Epoetin-beta, NeoRecormon); Placebo Renal effects Phase 1 NCT01584921
Norwegian University of Science and Technology|St. Olavs Hospital|Fondazione IRCCS Istituto Nazionale dei Tumori, Milano|L'Hospitalet de Llobregat|University Hospital, Bonn|Cantonal Hospital of St. Gallen|Maastricht University Medical Center|Flinders University Drug: intranasal fentanyl spray; slow release morphine Cancer|Pain Phase 3 NCT01906073
Endo Pharmaceuticals Drug: oxymorphone IR Chronic pain Phase 3 NCT01206907
Mundipharma Research GmbH & Co KG Drug: laxative Opioid induced constipation Phase 4 NCT01957046
Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran Drug: haloperidol; Placebo; non-pharmacologic measures Hypoactive delirium Phase 3 NCT02345902
University of Oklahoma Drug: memory XL; Placebo Mild cognitive impairment Phase 2 NCT00903695
University of Illinois at Chicago|Genentech, Inc. Drug: ranibizumab (lucentis) Glaucoma|New onset Glaucoma|Neovascular Glaucoma|New onset neovascular glaucoma Phase 1|Phase 2 NCT00727038
Universitätsklinikum Hamburg-Eppendorf Drug: melatonin 2 mg; Placebo Healthy night shift workers, sleep disorders Phase 3 NCT02108353
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)|National Institutes of Health Clinical Center (CC) Drug: hydrocortisone; Placebo; hydrocortisone and melatonin; melatonin Jet lag syndrome Phase 2 NCT00097474
University of California, San Diego|California Breast Cancer Research Program Device: light box (litebook) Breast cancer NCT00478257
St. Olavs Hospital Drug: fentanyl Chronic pain|Cancer Phase 1|Phase 2 NCT01248611
National Heart, Lung, and Blood Institute (NHLBI) Drug: melatonin; methylxanthine Device: light therapy Sleep disorders, circadian rhythm NCT00387179
Takeda Drug: ramelteon; Placebo Circadian dysregulation Phase 4 NCT00492011
AstraZeneca Drug: AZD1386; Placebo Pain|Esophageal sensitivity Phase 1 NCT00711048
Delray Medical Center Drug: IV Ibuprofen Pain Phase 4 NCT02152163
Attikon Hospital Drug: sugammadex; neostigmine/atropine Post-operative cognitive dysfunction NCT02419352
Mundipharma Research GmbH & Co KG Drug: OXN PR followed by OxyPR tablets; OxyPR followed by OXN PR tablets Severe chronic pain Phase 2 NCT01915147
Greater Houston Retina Research Drug: ranibizumab (lucentis) Ischemic central retinal vein occlusion Phase 1 NCT00406471
Pfizer Drug: donepezil Dementia, vascular|Dementia, mixed Phase 3 NCT00174382
Pfizer Drug: morphine sulfate extended release capsules Pain Phase 4 NCT00640042
Meander Medical Center|Dutch Kidney Foundation Drug: melatonin tablet 3 mg once daily; Placebo comparator Sleep Problems|Haemodialysis Phase 3 NCT00388661
Meander Medical Center|Dutch Kidney Foundation Drug: melatonin Hemodialysis|Peritoneal dialysis|Sleep problems Phase 3 NCT00404456
Ever Neuro Pharma GmbH|acromion GmbH|Geny Research Corp. Drug: cerebrolysin; 0.9% saline solution Vascular dementia Phase 4 NCT00947531
Neovii Biotech Drug: catumaxomab; prednisolone Cancer|Neoplasms|Carcinoma|Malignant ascites Phase 3 NCT00822809
Singapore General Hospital|Novartis|National Neuroscience Institute Drug: exelon (rivastigmine); placebo Cognitive impairment Phase 4 NCT00669344
University of Toledo Health Science Campus Drug: continuous release dopamine agonists Parkinson disease Phase 3 NCT00465452
Novartis Drug: rivastigmine capsule; rivastigmine transdermal patch Parkinson's disease dementia Phase 3 NCT00623103
University of Rochester|Forest Laboratories Drug: namenda Delirium|Post-operative states Phase 4 NCT00303433
INSYS Therapeutics Inc Drug: fentanyl sublingual spray Cancer|Pain Phase 3 NCT00538863
Endo Pharmaceuticals|BioDelivery Sciences International Drug: EN3409; Placebo Low back pain Phase 3 NCT01633944
Endo Pharmaceuticals|BioDelivery Sciences International Drug: EN3409 Low back pain Phase 3 NCT01675167
Memorial Sloan Kettering Cancer Center Drug: d-Methadone; Placebo Pain|Bladder Cancer|Breast Cancer|CNS Cancer|Colon Cancer|Esophageal Cancer|Pancreatic Cancer|Prostate Cancer|Uterine Cancer|Head and neck Cancer|Eye Cancer|Otorhinolaryngologic neoplasms Phase 1|Phase 2 NCT00588640
Neurim Pharmaceuticals Ltd. Drug: melatonin (circadin); Placebo Non-24 H sleep-wake disorder|Blindness Phase 2 NCT00972075
National Eye Institute (NEI) Drug: melatonin Blindness NCT00686907
Collegium Pharmaceutical, Inc. Drug: oxycodone DETERx; Placebo Chronic low back pain Phase 3 NCT01685684
Cephalon|Teva Pharmaceutical Industries Drug: ACTIQ (Oral Transmucosal Fentanyl Citrate [OTFC]) Pain|Cancer|Sickle cell Anemia|Severe burns Phase 2 NCT00236093
Shaare Zedek Medical Center Drug: extended-release tramadol; paracetamol Post-operative pain NCT01024348
Cephalon|Teva Pharmaceutical Industries Drug: ACTIQ Cancer|Breakthrough pain Phase 2 NCT00236041
Accera, Inc. Drug: AC-1204; Placebo Alzheimer's disease Phase 2|Phase 3 NCT01741194
Mundipharma Pharmaceuticals B.V. Drug: oxycodone hydrochloride and naloxone hydrochloride combination, prolonged release Pain Phase 3 NCT01167127
Melissa Voigt Hansen|University of Copenhagen|Rigshospitalet, Denmark|Pharma Nord|Herlev Hospital Drug: melatonin (N-acetyl-5-methoxytryptamine); Placebo Breast cancer|Depression Phase 2|Phase 3 NCT01355523
Mundipharma Pharmaceuticals B.V. Drug: oxycodone and naloxone Pain Phase 3 NCT01167699
James Graham Brown Cancer Center|University of Louisville Drug: Fentanyl Citrate Nasal Spray (FCNS) Pain Phase 4 NCT01839552
Kaplan Medical Center Drug: oxycodone 10 mg Elective laproscopic bilateral inguinal Hernia|Elective laproscopic cholecystectomy Phase 4 NCT00480142
Brigham and Women's Hospital|Takeda Drug: ramelteon; Placebo Healthy NCT00595075
Loma Linda University Drug: morphine PCA started at the end of surgery, 1 Percocet 1/325 mg every 4 h; may receive a second Percocet if needed. For the 30 ml ropivacaine the intervention would be the subject can request extra pain medication which would be Percocet and/or morphine PCA Post-op pain NCT01939379
Vanda Pharmaceuticals Drug: tasimelteon 20 mg capsule; tasimelteon 2 mg I.V. Non-24-H-sleep-wake disorder Phase 4 NCT02130999
Oregon Health and Science University Drug: melatonin Insomnia|Blindness|Daytime sleepiness NCT00911053
Erasmus Medical Center|ZonMw: The Netherlands Organization for Health Research and Development Drug: enalapril/hydrochlorothiazide; Placebo Essential hypertension Phase 4 NCT02214498
National Institute on Alcohol Abuse and Alcoholism (NIAAA)|National Institutes of Health Clinical Center (CC) Drug: brain dopamine reactivity; brain dopamine receptor Cocaine abuse Phase 0 NCT02233829
Boehringer Ingelheim Drug: telmisartan; ramipril Hypertension Phase 4 NCT00274612
Ottawa Heart Institute Research Corporation|Schering-Plow|Medtronic Drug: eptifibatide facilitated PCI Myocardial infarction Phase 3 NCT00251823
Boehringer Ingelheim Drug: telmisartan combined with hydrochlorothiazide (80/12.5 mg); valsartan combined with hydrochlorothiazide (160/12.5 mg) Hypertension|Diabetes mellitus, Type 2 Phase 4 NCT00239538
US WorldMeds LLC|National Institute on Drug Abuse (NIDA) Drug: lofexidine HCl Renally impaired subjects Phase 1 NCT02313103
University of Washington|Paul G. Allen Family Foundation Drug: botox; normal saline Painful bladder syndrome|Interstitial cystitis Phase 4 NCT00194610
Children's Hospital of Philadelphia|Bayer|University of Pennsylvania Drug: paracervical nerve block; sham paracervical block Pain Phase 4 NCT02352714
University of Alabama at Birmingham|National Heart, Lung, and Blood Institute (NHLBI) Drug: losartan Anemia, sickle cell|Sickle cell disease|Kidney disease|Hypertension| Proteinuria Phase 2 NCT02373241
University of Alberta|Vancouver Coastal Health Research Institute Drug: warfarin Atrial fibrillation|Thrombus due to heart valve prosthesis|Deep venous thrombosis|Thromboembolism|DVT Phase 4 NCT02376803
National Heart, Lung, and Blood Institute (NHLBI) Drug: melatonin; methylxanthine| Procedure: light therapy Sleep disorders, circadian rhythm NCT00387179
Orphan Medical Drug: sodium oxybate Narcolepsy Phase 3 NCT00049803
National Institute of Mental Health (NIMH) Drug: low-dose sodium oxybate; high-dose sodium oxybate; low-dose zolpidem; high-dose zolpidem; Placebo Sleep NCT00777829
Massachusetts General Hospital Drug: ramelteon; Placebo Huntington's disease|Parkinson's disease|Dementia with lewy bodies|Sleep disorders|Circadian dysregulation NCT00907595
Takeda Drug: ramelteon; Placebo Circadian dysregulation Phase 4 NCT00492011
Massachusetts General Hospital Drug: zolpidem CR; Placebo Dementia|Alzheimer disease|Dementia, vascular|Sleep disorders|Circadian dysregulation NCT00814502
Vanda Pharmaceuticals Drug: tasimelteon; Placebo Non-24-H sleep-wake disorder Phase 3 NCT01163032
Vanda Pharmaceuticals Drug: tasimelteon; Placebo Non-24-H sleep-wake disorder Phase 3 NCT01430754
Cephalon|Teva Pharmaceutical Industries Drug: PROVIGIL 200 mg; armodafinil 250 mg; armodafinil 200 mg; armodafinil 150 mg; Placebo Chronic shift work sleep disorder Phase 3 NCT00236080
Child Psychopharmacology Institute Drug: risperidone Sleep disorders, circadian rhythm|Insomnia|psychomotor agitation NCT00723580
Cephalon|Teva Pharmaceutical Industries Drug: CEP-10953 (Armodafinil) Narcolepsy|Sleep apnea, Obstructive|Sleep apnea Syndromes|Shift-work sleep disorder Phase 3 NCT00078312
Vanda Pharmaceuticals Drug: tasimelteon Smith-Magenis syndrome|Circadian Phase 2 NCT02231008
Vanda Pharmaceuticals Drug: tasimelteon Non-24-H sleep-wake disorder Phase 3 NCT01429116
Takeda Drug: ramelteon; Placebo Sleep disorders, circadian rhythm Phase 2 NCT00593736
Boehringer Ingelheim Drug: pharmaton caplets; Placebo Sleep disorders, circadian rhythm Phase 2 NCT02199847
Sheba Medical Center Drug: melatonin Delayed sleep phase syndrome Phase 1 NCT00282061
Cephalon|Teva Pharmaceutical Industries Drug: armodafinil 150 mg/day; Placebo Excessive sleepiness|Shift work sleep disorder Phase 3 NCT00080288
National Human Genome Research Institute (NHGRI)|National Institutes of Health Clinical Center (CC) Drug: dTR melatonin (NIH CC PDS); melatonin CR Device: phototherapy (bright light) Developmental delay disorders|Chromosome deletion|Mental retardation|Sleep disorders, circadian rhythm|Self injurious behavior Phase 1 NCT00506259
Brigham and Women's Hospital|Sunovion|Massachusetts General Hospital Drug: eszopiclone; matching Placebo Shift-work sleep disorder NCT00900159
Vanda Pharmaceuticals Drug: tasimelteon 20 mg capsule; tasimelteon 2 mg I.V. Non-24-H-sleep-wake disorder Phase 4 NCT02130999
Neurim Pharmaceuticals Ltd. Drug: melatonin (circadin); Placebo Non-24 H sleep-wake disorder|blindness Phase 2 NCT00972075
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)|National Institutes of Health Clinical Center (CC) Drug: hydrocortisone; Placebo; hydrocortisone and melatonin; melatonin Jet lag syndrome Phase 2 NCT00097474
Teva Pharmaceutical Industries|United BioSource Corporation Drug: modafinil/armodafinil Narcolepsy|Obstructive sleep apnea|Shift work sleep disorder NCT01792583
Vanda Pharmaceuticals Drug: VEC-162 Circadian rhythm sleep disorders Phase 2 NCT00490945
Vanda Pharmaceuticals Drug: tasimelteon Non 24 H sleep wake disorder Phase 3 NCT01218789
Cephalon|Teva Pharmaceutical Industries Drug: armodafinil 100–250 mg/day Excessive daytime sleepiness|Narcolepsy|Obstructive sleep apnea/hypopnea syndrome|Chronic shift work sleep disorder Phase 3 NCT00228553
Brigham and Women's Hospital|National Center for Complementary and Integrative Health (NCCIH) Drug: vitamin B12 Sleep disorders, circadian rhythm NCT00120484

This review will discuss why trials for circadian disorders risk a high failure rate, what has been learned from the more recent success with the approval of tasimelteon (HETLIOZ®), and what can be done in the future to reduce the risk of clinical trial failures and improve the chances of delivering medications to patients suffering from circadian disorders.

Human circadian clocks

Humans, in common with most (if not all) living organisms, have biological clocks that organize the timing of physiological events and keep them synchronized with the external 24-h day. This coordination with the 24-h day led to the term “circadian.” The master circadian clock in mammals resides in the suprachiasmatic nucleus (SCN) of the hypothalamus (Meijer and Rietveld, 1989). Rhythms generated by the SCN clock are autonomous (i.e., they do not depend upon environmental cues), but under normal conditions and in healthy individuals the timing of the internal oscillator is synchronized with the external 24-h day by environmental stimuli, principally light. In addition to the master SCN pacemaker, other tissues and organs also possess cellular clocks that are synchronized by signals from the SCN. These peripheral circadian clocks regulate the timing of many metabolic and cellular processes that are specific to the function of the particular cell type and tissue (Mohawk et al., 2012).

The human clock cycles with a period (tau) of nearly, but not exactly, 24 h. When an individual is placed into an environment removed from any time cues (free-running conditions), the inherent period of the internal clock is revealed; tau has been measured at 24 h 11 ± 16 min (Czeisler et al., 1999). Environmental light normally keeps the internal clock synchronized or entrained to the external day-night cycle. This synchronization is accomplished by an adjustment in the phase of the oscillation, or phase shift, whenever a disparity exists between the internal “time of day” and external lighting conditions. For example, if the internal clock is slow, or delayed, morning light occurring before the internal clock “anticipates” it will advance the phase of the clock; whereas, in a clock running fast, light in the evening will delay the phase of the clock. Light occurring coincident with the internal “daytime” will not shift the clock. The differential effects of light at different times relative to the internal phase can be measured and plotted as a phase-response curve (PRC). The PRCs of humans and other diurnal mammals compared to nocturnal mammals are generally similar—light in the early subjective night lead to a phase delay, while light in the late subjective night lead to an advance, keeping the internal clock synchronized to sunrise and sunset (Johnson, 1990).

While light is the predominant stimulus that entrains the phase of the clock, a variety of other stimuli also affect entrainment. Of particular relevance in terms of human health and disease, inputs including food consumption, exercise, and social interactions can shift clock phase. These non-photic stimuli generally shift the clock when they occur during the circadian inactive phase (i.e., during the night in humans) (Rosenwasser and Dwyer, 2001).

In recent years, the molecular “gears” of the circadian clock have been elucidated. A series of interlocking negative feedback loops involving transcription, translation, and post-translational phosphorylation form the molecular clockwork. At its core, the transcriptional activators BMAL1, CLOCK and NPAS2 activate the Period (Per1 and Per2) and Cryptochrome (Cry1 and Cry2) genes (Mohawk et al., 2012). PER and CRY transcripts and proteins gradually accumulate during the daytime, associate with one another and translocate into the nucleus during the evening, and interact with the CLOCK/NPAS2:BMAL1 complex to repress their own transcription. The PER and CRY proteins are progressively phosphorylated by a CK1 kinase during the night, targeting them for ubiquitylation and eventual degradation by the proteasome, relieving their transcriptional autorepression and beginning the cycle again. The timing of this feedback loop takes about 24 h to complete. Because CK1 phosphorylation of PER and CRY regulates the timing of degradation of these protein and the link to a specific human circadian phenotype, CK1 is a target under investigation for its therapeutic potential. Other clock components represent potential drug targets, although little is available in the public domain confirming pharmaceutical investment in these targets.

A secondary or modulatory protein loop modifies the core clock loop. REV-ERBα transcription is also activated by the BMAL1/CLOCK and repressed by CRY/PER, resulting in circadian oscillations of REV-ERBα. In turn, REV-ERBα represses BMAL1 and CLOCK transcription. This REV-ERBα/RORα feedback loop modulates the core circadian clock (Bugge et al., 2012). REV-ERBα has also generated interested as a drug target.

Circadian rhythms and disease

Underlying genetic mutations have been discovered which lead to abnormal circadian rhythms. In this review we refer to these genetic-driven circadian abnormalities as Primary Circadian Disorders. For example, some cases of advanced sleep phase disorder (ASPD) and delayed sleep phase disorder (DSPD), characterized by a circadian phase that is either “fast” or “slow,” respectively, are due to mutant forms of key clock proteins. Familial forms of ASPD arise from mutations in either CK1 delta or in a phosphorylation site in the PER2 protein targeted by CK1. Specific CK1 variants are also associated with DSPD, and 75% of DSPD patients are homozygous for a shorter allele of PER3 that affects phosphorylation by CK1. These human circadian phenotypes are predicted by the spontaneous mutations in CK1 that result in the circadian period mutants found in hamster, Tau, and in Drosophila, double-time. In general, it appears that increasing CK1 activity leads to a shortened circadian period. Thus, CK1 activity is an important regulator of circadian timing and a potential target for therapeutic intervention. Clearly, it is critical to take into account the circadian phenotype and phase of an individual to predict clinical outcome in trials of drugs that modulate CK1. As in clinical trials for oncology treatments, companion diagnostic (CDx) tests that genotype for specific clock gene mutations would allow selection of the target patient population. Therefore, as in oncology, these genetic disorders provide the opportunity to demonstrate, as a proof of principle, the efficacy of the drug mechanism in a targeted population, with the goal of expanding therapeutics into Secondary Circadian Disorders (see below).

In addition to mutations in core clock genes, genetic variations that affect the timing of the circadian cycle of humans may also exist. For example, polymorphisms in Clock are associated with morning vs. evening preference in humans (Katzenberg et al., 1998). A recent paper describes an association of a Per3 polymorphism with bipolar disorder (Karthikeyan et al., 2014). Diagnostics that detect these kinds of genetic markers would provide a mechanism to enrich enrollment in clinical trials with patients most likely to benefit from specific circadian therapies.

Beyond the genetic disorders discussed above that are the direct result of mutations in clock genes or disrupted entrainment of the circadian system, there is a growing appreciation that circadian abnormalities may be a key core symptom of a variety of diseases including metabolic disorders, mood disorders, and dementia. In this review we refer to circadian abnormalities that are closely associated with another disease as Secondary Circadian Disorders. In Secondary Circadian Disorders, circadian disorganization may present both as a symptom of the disease, and as a potential risk factor contributing to disease pathogenesis (Golombek et al., 2013; Smolensky et al., 2014a,b; Zelinski et al., 2014). An instructive example is the occurrence of circadian abnormalities in patients with metabolic disorder. The growing appreciation of the role of clock proteins in metabolism suggests several potential molecular targets for therapeutics aimed at treating obesity. A feedback between the central circadian clock and peripheral oscillators in liver, skeletal muscle and other tissues helps to coordinate the complex processes of food intake, activity, and lipid homeostasis (Feng and Lazar, 2012). Disruption of these highly regulated interacting rhythms by rotational shift work, for example, is a risk factor for developing metabolic syndrome, obesity, and diabetes mellitus (Feng and Lazar, 2012; Bailey et al., 2014; Maury et al., 2014). While not all obese patients may suffer from circadian disruption, phenotyping, and appropriately regulating the sleep-wake cycles of patients in therapeutic trials for obesity may be critical to uncovering the full potential of a drug. Indeed, individualizing the timing of drug administration may be an unappreciated factor to improve efficacy, especially in a population where sleep-wake disruption is overrepresented.

Abnormal circadian rhythms are also common in patients with mood disorders. Bipolar disorder patients have been reported to have unstable and lower amplitude circadian rhythms (McCarthy and Welsh, 2012; Seleem et al., 2014) while those suffering from major depressive disorder appear to be phase delayed. It has been shown that circadian programs of gene expression are distinctly altered in depressive patients (McCarthy and Welsh, 2012; Karatsoreos, 2014). While the long-standing hypothesis has been that circadian disruption may be a causal factor in these disorders, circadian-based treatments have not always shown pronounced efficacy. There is an ongoing debate regarding the efficacy of agomelatine, an approved treatment of major depressive disorder in Europe and Australia although the drug is not approved for this indication in the US (Gahr, 2014). A recent prospective study suggested that treatment responsiveness was related to circadian phenotype. Patients with major depressive disorder that scored as a morning type were more likely to respond to agomelatine treatment than those that scored as an evening type (Corruble et al., 2013). Thus, treatment regimes informed by an individual patient's circadian phenotype and/or administered at a specific circadian phase might enhance the therapeutic benefit for this chronobiotic.

Seasonal affective disorder (SAD) represents a sub-type of mood disorder closely linked to the circadian system. SAD affects individuals who become depressed during the short daylight periods of winter. One leading hypothesis of the cause of SAD suggests it a results from circadian misalignment (Lewy et al., 2007), or difficulty entraining due to the absence of bright light in morning or evening. Therapy with bright light and melatonin is effective for some SAD patients, and is thought to act by advancing or delaying phase to re-synchronize the clock. Especially in this disorder, treatment aligned with the individual patient's circadian phase is likely to improve outcomes.

In dementia patients, especially those suffering from AD, up to 25% experience sundowning, a disturbing syndrome characterized by agitation, worsening cognitive function, pacing and wandering in the evening/night, and daytime sleepiness. A patient's reduced internal distinction between night and day, caused by the low amplitude oscillation of their circadian clock, appears to contribute to sundowning (Khachiyants et al., 2011). Therapeutics that enhance the amplitude of the circadian oscillator could benefit this patient population.

Finally, the recently approved drug, tasimelteon, is prescribed for patients with Non-24-h sleep-wake disorder (Non-24). Non-24 is a consequence of the failure of the circadian system to entrain to the external 24-h day. A majority of Non-24 patients are blind; and up to 70% of totally blind individuals may suffer from Non-24. The absence of light perception leads to the lack of clock entrainment, and as a result the sleep-wake cycle is free-running. Non-24 is the first circadian disorder for which a pharmaceutical intervention, tasimelteon, has been approved. Because Non-24 patients express a range of free-running tau (from 23.7 to 25.3 h) (Dressman et al., 2012), consideration of their circadian phenotypes proved to be key to successful clinical trials (see further discussion of the clinical trial, below).

Considering that circadian rhythmicity is ubiquitous and closely intertwined with both normal physiological processes and disease states, any therapeutic approach targeting a disease (either a “circadian” disorder, or one with rhythmic components) must take into account the timing of the intervention relative to the circadian system of the individual. The experience in drug development for oncology demonstrates the value of a personalized medicine approach to discovering and testing therapeutics.

Definition of personalized medicine

Personalized medicine can be defined as a targeted prevention and treatment regimen that is developed for an individual using data gathered from medical records and diagnostic analysis of “biomarkers,” or specific biological markers that distinguish one individual from another. Most often, biomarkers are genetic; however, biomarkers can also be phenotypic, such as circadian subtypes (e.g., advance phase or delayed phase syndrome). Ultimately, the goal of personalized medicine is to give the right patient the right treatment at the right time.

Following the completion of the Human Genome Project over 10 years ago, the cost and time for genomic sequencing has decreased exponentially. On average, sequencing of a human genome decreased from $1 billion in 2003 to between $3–5000 today (Personalized Medicine Coalition, 2014), with a time to result from ~7 years decreased to ~2 days. In addition to influencing all of biological research, mapping of the genome has also translated to clinical chemistry, with many therapeutics now designed to target specific proteins, protein classes, or even mutated forms of a protein. In contrast to traditional chemotherapies, which function against any actively dividing cells, targeted therapeutics act on a molecule in the signaling pathway driving a specific tumor (http://www.cancer.gov/cancertopics/factsheet/Therapy/targeted).

The following section will examine the growing field of personalized medicine in oncology, which has focused on targeting the genetic abnormalities driving cancer with targeted therapies. As patients with circadian disorders continue to be profiled both at the phenotypic and molecular levels, the ability to subtype patient populations in order to identify the predicted responsive cohort is critical in ensuring more efficient and more successful circadian clinical trials.

Personalized medicine in oncology

The oncology field has led to the use of personalized medicine in healthcare, mainly due to the effectiveness of targeted therapeutics specifically developed to inhibit oncogenic driver proteins. Currently, targeted therapeutics are available for patients with melanoma, chronic myeloid leukemia, colon, breast, and lung cancer. In non-small cell lung cancer (NSCLC), mutations in two oncogenic driver genes, EGFR and ALK, make up ~25–40% of all NSCLC cases (Kwak et al., 2010; Melosky, 2014). Two FDA-approved EGFR inhibitors and two FDA-approved ALK inhibitors are commercially available (EGFR: Gilotrif™, Boehringer Ingelheim and Tarceva®, Roche; ALK: Xalkori®, Pfizer and Zykadia™, Novartis). Each of these inhibitors requires testing of patients with a unique FDA-approved diagnostic test (aka CDx) prior to prescription. CDx assays are FDA regulated as Class III Medical Devices (Olsen and Jorgensen, 2014) that were demonstrated during the pivotal trial to show clinical utility in selecting for the responding patient population, were contemporaneously FDA-approved alongside the corresponding therapeutic, and are specified in the drug labeling to be required for use in identifying the target patient population. Therefore, a CDx is the mechanism to identify the right patient for the right drug.

Personalized medicine growing pains

Use of CDx in the oncology space was initially met with resistance; the thought of narrowing the market to a select patient population does not inherently make financial sense. However, as drugs in development functioned through a more selective mechanism of action, it was clear that identification of responders carrying the genetic target was paramount, as dictated by the FDA. For example, the small molecule Iressa™ (gefitinib, AstraZeneca) was initially approved in Japan in July 2002 and in May 2003 through the FDA Accelerated Approval path for NSCLC. Under the Accelerated Approval guidelines, approved therapeutics are required to complete a post-approval Phase III study. Completion of the obligatory Phase III Iressa Survival Evaluation in Lung Cancer (ISEL) trial in 2004 revealed no improvement in overall survival in patients taking Iressa vs. placebo (Thatcher et al., 2005). However, an academic study published that same year suggested that the subset of Iressa responders correlated to mutations in the tyrosine kinase Epidermal Growth Factor Receptor (EGFR) gene. Retrospective analysis of the ISEL data with genetic testing for mutations in EGFR clearly indicated that patients with mutations in EGFR responded significantly better to Iressa than patients without EGFR mutations; interestingly, the patient cohorts carrying the EGFR mutations were predominantly Asian women with no smoking history (Lynch et al., 2004). In 2005 FDA responded to the Iressa-EGFR findings by allowing for use of Iressa only in patients currently taking the drug and showing a response or via new clinical trials. The increased control required over distribution of the drug resulted in a near-complete drop in revenue generated in the US. With a much more limited patient population [EGFR mutations contribute to roughly 20% of NSCLC (Agarwal, 2012)], AstraZeneca forged ahead to change their commercialization strategy in countries outside the US. Interestingly, despite the clear link between EGFR mutation status and response, restrictions for use were not altered in Japan and Iressa was approved for use in China, mostly likely based on its efficacy in Asian populations. To expand to approval in Western countries, AstraZeneca positioned Iressa as both a second-line therapy to Taxotere (docetaxel) and partnered with the diagnostics company, DxS (which was subsequently bought by QIAGEN), to develop a molecular based assay for genotyping of EGFR. In 2009, Iressa was approved by the European Union with the CDx therascreen EGFR RGQ RT-PCR Kit. As of 2011, Iressa sales in Europe were ~$150 million, with a total of ~$520 million globally (Agarwal, 2012).

The “sea change” toward the utilization of CDx for FDA submission that resulted from the Iressa story, and others not discussed in this review, was ultimately driven by risk mitigation - mainly mitigation of the possibility of FDA rejecting approval of a therapeutic due to the lack of use of a CDx. FDA took a formal stance on CDx with the release of a draft guidance in 2011, which was subsequently finalized in August 2014 (http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM262327.pdf). This guidance defines an In Vitro CDx (IVD), indicates that in most instances a drug and the CDx should be FDA approved contemporaneously, outlines the FDA's regulatory enforcement policy and regulatory approval pathways for CDx, and discusses the implementation of labeling requirements upon co-approval of a drug and IVD assay. It goes without saying that the FDA oversight is not uniquely positioned to regulate only oncology therapeutics. Therefore, as part of each and every drug development program, from oncology to CNS, there could be questions about whether the drug can be shown to be safe and effective without enrichment of a particular patient population.

Study outcomes as a result of personalized medicine approaches

There are significant financial benefits to utilizing a CDx strategy throughout drug development. Following the discovery of ALK-driven NSCLC in ~5–10% of the patient population (Soda et al., 2007), Pfizer proceeded with utilizing a fluorescence in situ hybridization (FISH) assay to detect the ALK chromosomal translocation as an eligibility requirement for patient enrollment. What would have taken years, hundreds millions of dollars, and thousands of patients to complete, took less than 3 years and less than 350 patients to achieve statistical power for regulatory submission and approval (Kwak et al., 2010). The short timeline and small patient enrollment is not unique to the ALK story. As shown in Table 2 multiple therapeutics have rapidly progressed from Phase I to market in less than 5 years through the use of patient enrichment with CDx.

Table 2.

Examples of rapidly-progressing therapeutics.

Company Therapeutic Phase I Approval
Roche/Genentech Vemurafenib (Zelboraf™) November 2006 August 2011
Pfizer Crizotinib (Xalkori®) December 2007 August 2011
GSK Trametinib (Mekinist™) May 2008 May 2013
Roche/Genentech Ado-trastuzumab emtansine (Kadcyla®) June 2009 February 2013
GSK Dabrafenib (Tafinlar®) April 2009 May 2013

Although there are less than 20 FDA Approved (Pre-Market Approval) CDx on the market to date (http://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/InVitroDiagnostics/ucm301431.htm), there are over 100 drugs with pharmacogenomics information within the label (Personalized Medicine Coalition, 2014) and a projected 30% of drugs in late clinical development rely on biomarkers for patient enrollment (http://www.personalizedmedicinecoalition.org/Userfiles/PMC-Corporate/file/pmc_personalized_medicine_by_the_numbers.pdf). One group has examined the effectiveness of utilizing a CDx during 676 clinical trials with 199 compounds. Utilizing a biomarker-driven approach to Phase III trials, the success rate increased from 28% (no biomarker) to 62% (Falconi et al., 2014; Olsen and Jorgensen, 2014). Therefore, utilizing a biomarker-driven clinical trial increased the success rate of Phase III trials, and subsequent approval, almost 2.5-fold.

Reimbursement pressure

As discussed earlier, initially the narrowing of oncology patient populations appeared to translate to a loss in revenue potential for the therapeutic. However, with the evolution of regulatory agencies requiring patient enrichment to show safety and efficacy, and the increasing amount of data supporting faster and more successful routes to drug approval using CDx, the thinking has changed from assays being “burdensome” to assays being “useful” toward successful drug development. In addition, pressure is increasingly being put on pharmaceutical companies by insurance providers. Generally, targeted therapies are significantly more costly to a patient than generalized therapies; one report approximates the average cost per month for a branded oncology drug has doubled in the U.S. from $5000 to $10,000 in the past decade (http://www.imshealth.com/deployedfiles/imshealth/Global/Content/Corporate/IMS%20Health%20Institute/Reports/Secure/IMSH_Oncology_Trend_Report.pdf). In order to justify reimbursement of such expensive targeted therapies, insurance companies are requiring diagnostic tests be performed prior to prescription of a therapeutic. In European countries, a high level of scrutiny has been placed on newly developed therapeutics in comparison to existing treatments. For example, the UK National Institute for Health and Care Excellence (NICE) does not recommend the ALK inhibitor, Xalkori® for use in ALK-driven NSCLC, based on the ruling that the drug does not offer value for money.

In order to align with the fast-paced personalized medicine trend in healthcare and to ensure that each patient receives the most appropriate treatment for their disease, payers should support the use of CDx. Promotion of standardization of coverage and value-based reimbursements; reimbursement strategies that cover research-based innovations, such as Next Generation Sequencing; and flexibility in medical coding and billing facilitate the use of personalized medicine approaches to ensure the right patient receives the right treatment at the right time.

Personalizing therapeutic approaches for circadian disorders

As discussed above, several genetic mutations have been identified that lead to a primary circadian disorder. Many more diseases have concomitant circadian abnormalities, which we refer to as secondary circadian disorders. For both types of disorders, phenotyping of the circadian disruption prior to initiation of therapy is critical to success—timing is everything when it comes to treatment of circadian dysfunction. In fact, measuring multiple rhythms within an individual is essential, as some disorders result from a misalignment of endogenous rhythms (Lewy et al., 2007). Traditional methods for monitoring the circadian phase and period in ambulatory humans include activity and body position monitoring via wearable devices (Bonmati-Carrion et al., 2015) and body temperature via wrist skin temperature (Kolodyazhniy et al., 2012). In a laboratory setting, multiple blood or saliva sampling to assess melatonin or other hormone patterns has been employed (Keijzer et al., 2014). In addition, the recent description of the rhythmic expression pattern of nearly half of the genome (Zhang et al., 2014) provides the opportunity to develop more and potentially better biomarkers for assessing the phase and period of individuals. Finally, mobile smartphones provide a unique and potentially highly effective method to collect robust data on circadian rhythms from an individual (Roenneberg, 2013). Thus, collecting robust data on a patient's circadian phenotype is both technically feasible and critical to the successful treatment of a circadian abnormality.

Tasimelteon, a circadian success story

Approved on January 31st, 2014, HETLIOZ® (tasimelteon) is the first FDA approved treatment for adults with Non-24-H Sleep-Wake Disorder (Non-24), which is a rare circadian disorder occurring mostly in the totally blind. Vanda reports HETLIOZ® U.S. sales grew to $5.2 million in the first full quarter after launch. However, the road to approval was winding, with several failed clinical trials in other indications before the drug successfully demonstrated efficacy in Non-24.

Tasimelteon is a melatonin receptor MT1/2 agonist that was originally discovered by BMS (previously known as BMS-214,778) and licensed to Vanda Pharmaceuticals. Vanda opened an IND in 2004 for Shift Work Disorder, Jet Lag Disorder (due to eastward travel) and DSPD, however to date Vanda has not sought approval for any of these indications. Following on the success of another melatonin agonist, ramelteon (Rozerem®), which is approved in the US for treatment of insomnia, tasimelteon was tested in clinical trials for sleep disorders, including a Phase II trial on circadian rhythm sleep disorders and several phase III primary insomnia trials. However, the drug failed to show significant efficacy in these clinical trials. Additionally, the drug was also considered as a treatment for depression.

After several years of frustratingly weak results in other indications, Vanda demonstrated that tasimelteon produced phase shifts in healthy adults (Neubauer, 2015). Vanda then began Phase III clinical trials of the drug in a population with Non-24. There are ~1,300,000 blind people in the United States and ~10% of these individuals have no light perception. Without light input these totally blind individuals free run, drifting in and out of phase with the environment, impairing their ability to work, disrupting family life and impacting their overall health. Tasimelteon treatment entrained a higher number of totally blind to a 24-h cycle vs. placebo and the drug was approved in the US and available to appropriate patients via specialty pharmacy (Neubauer, 2015).

Vanda faced several significant challenges in the clinical trials testing the efficacy of tasimelteon for Non-24. The first task was setting the appropriate enrollment criteria and developing a screening protocol to capture the desired subjects. The number of enrollment failures in the SET trial was high; 391 subjects were screened; yet only 84 were enrolled in the randomized trial (Lockley et al., 2013). Vanda did not study subjects with a tau shorter than 24 h even though it is reasonable to expect that subjects with a short tau would eventually respond to treatment once the timing of dosing coincided with a sensitive phase in the circadian rhythm. Subjects with tau shorter than 24 h were excluded from the study because the dosing regime was fixed to administer the drug at 1 h prior to bedtime, based on concerns about drug-induced somnolence. Even though Vanda has not done a PRC for the drug, they were concerned that they would be unable to show efficacy in patients with a short tau if the drug was always to be taken at 1 h prior to bedtime.

Timing of treatment was not always aligned to the sensitive circadian phase of the treated subject's rhythm. The drug was always taken at 1 h prior to bedtime and although Vanda had tried to initiate dosing when subjects were in phase, 16% of subjects were out of phase when dosing was started. Subjects that were out of phase at the start of trial took a longer time on treatment to see efficacy, which contributed to the length of trial (Lockley et al., 2013). Circadian tau at was measured at 1 month and 7 months of treatment in the RESET trial (Lockley et al., 2013). RESET took almost 2 years to complete.

A final challenge in the tasimelteon trial was the use of entrainment as an outcome measure; an endpoint that is more correctly considered a proof of mechanism for the drug, not a proof that the drug is a treatment for the disorder. Only clinical benefit, defined by an improvement in how patients feel, function or survive, constitutes an acceptable primary endpoint for registration of a drug. An improvement in sleep did constitute a positive clinical outcome. The tasimelteon-treated group had significant improvement in the duration and timing of nighttime sleep and a significant decrease in daytime napping. Thus, tasimelteon is now available to provide treatment for blind patients suffering from Non-24.

Final perspective

Circadian biologists have been collecting human subject circadian data in the research setting for decades, but few circadian drug treatment trials have been attempted. The general population has a growing familiarity with circadian biology in general and with their own unique rhythms, thanks to smart phone apps and wearable personal activity trackers. Nevertheless, drug developers have not yet linked the profound impact of circadian dysfunction on health to an influx of circadian drugs into pharma pipelines. The growing awareness of the link between disrupted circadian rhythms and obesity necessitates developing clinical trial strategies to effectively demonstrate the therapeutic benefit of drugs that alter circadian rhythms (chronotherapies). Better education of clinical researchers in the science of circadian biology is essential to developing enrollment criteria that will effectively capture the appropriate patient population. It should be apparent that circadian therapies must also be appropriately timed; treatment must be adjusted to be consistent with the patient's circadian phenotype, requiring a high degree of physician expertise and skill in interpreting circadian rhythms and possibly even daily input on scheduling dosing. Technological advances in remote data collection and the growing acceptance of sharing personal data will aid in personalizing circadian therapies to the appropriate patient. As data collection is improved, it may become obvious that not all patients will benefit from a specific therapy, as occurred in oncology. Biomarker strategies must be incorporated early in development to reduce screening failures and improve the potential to see efficacy, thus reducing the number of failed clinical trials. Biomarkers in this sense do not have to be genetic markers, but could be a clear circadian phenotype based on activity or other rhythm data.

Finally, circadian biologists have a deep appreciation of the negative impact on overall health of misaligned and disrupted rhythms, but simply demonstrating correction of the rhythm will not be sufficient for approval of a drug. Circadian drugs must also demonstrate that clinically relevant endpoints are improved by circadian adjustments.

Conflict of interest statement

Barbara A. Tate is the acting CEO of Armada Therapeutics. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Agarwal A. (2012). Do companion diagnostics make economic sense for drug developers? N. Biotechnol. 29, 695–708. 10.1016/j.nbt.2012.04.004 [DOI] [PubMed] [Google Scholar]
  2. Bailey S. M., Udoh U. S., Young M. E. (2014). Circadian regulation of metabolism. J. Endocrinol. 222, R75–R96. 10.1530/JOE-14-0200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bonmati-Carrion M. A., Middleton B., Revell V. L., Skene D. J., Rol M. A., Madrid J. A. (2015). Validation of an innovative method, based on tilt sensing, for the assessment of activity and body position. Chronobiol. Int. 3, 1–10. 10.3109/07420528.2015.1016613 [DOI] [PubMed] [Google Scholar]
  4. Bugge A., Feng D., Everett L. J., Briggs E. R., Mullican S. E., Wang F., et al. (2012). Rev-erbalpha and Rev-erbbeta coordinately protect the circadian clock and normal metabolic function. Genes Dev. 26, 657–667. 10.1101/gad.186858.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Corruble E., De Bodinat C., Belaidi C., Goodwin G. M. (2013). Efficacy of Agomelatine and Escitalopram on depression, subjective sleep and emotional experiences in patients with major depressive disorder: a 24-wk randomized, controlled, doubleblind trial. Int. J. Neuropsychopharmacology 16, 2219–2234. 10.1017/S1461145713000679 [DOI] [PubMed] [Google Scholar]
  6. Czeisler C. A., Duffy J. F., Shanahan T. L., Brown E. N., Mitchell J. F., Rimmer D. W., et al. (1999). Stability, precision, and near-24-hour period of the human circadian pacemaker. Science 284, 2177–2181. 10.1126/science.284.5423.2177 [DOI] [PubMed] [Google Scholar]
  7. Dressman M. A., Licamele L., Feeney J., Polymeropoulos M. H. (2012). Seventy percent of totally blind people with sleep complaints are not entrained to the 24 hour clock, in 26th Annual Meeting of the Associated Professional Sleep Societies (Boston, MA: Associated Professional Sleep Societies, LLC; ). [Google Scholar]
  8. Falconi A., Lopes G., Parker J. L. (2014). Biomarkers and receptor targeted therapies reduce clinical trial risk in non-small-cell lung cancer. J. Thorac. Oncol. 9, 163–169. 10.1097/JTO.0000000000000075 [DOI] [PubMed] [Google Scholar]
  9. Feng D., Lazar M. A. (2012). Clocks, metabolism, and the epigenome. Mol. Cell 47, 158–167. 10.1016/j.molcel.2012.06.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Gahr M. (2014). Agomelatine in the treatment of major depressive disorder: an assessment of benefits and risks. Curr. Neuropharmacol. 12, 287–398. 10.2174/1570159X12999140619122914 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Golombek D. A., Casiraghi L. P., Agostino P. V., Paladino N., Duhart J. M., Plano S. A., et al. (2013). The times they're a-changing: effects of circadian desynchronization on physiology and disease. J. Physiol. Paris 107, 310–322. 10.1016/j.jphysparis.2013.03.007 [DOI] [PubMed] [Google Scholar]
  12. Griebel G., Ravinet-Trillou C., Beeske S., Avenet P., Pichat P. (2014). Mice deficient in cryptochrome 1 (cry1 (-/-)) exhibit resistance to obesity induced by a high-fat diet. Front. Endocrinol. (Lausanne). 5:49. 10.3389/fendo.2014.00049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Johnson C. H. (1990). An Atlas of Phase Response Curves for Circadian and Circatidal Rhythms. Available online at: http://as.vanderbilt.edu/johnsonlab/prcatlas/.
  14. Karatsoreos I. N. (2014). Links between circadian rhythms and psychiatric disease. Front. Behav. Neurosci. 8:162. 10.3389/fnbeh.2014.00162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Karthikeyan R., Marimuthu G., Ramasubramanian C., Arunachal G., Bahammam A. S., Spence D. W., et al. (2014). Association of Per3 length polymorphism with bipolar I disorder and schizophrenia. Neuropsychiatr. Dis. Treat. 10, 2325–2330. 10.2147/NDT.S73765 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Katzenberg D., Young T., Finn L., Lin L., King D. P., Takahashi J. S., et al. (1998). A CLOCK polymorphism associated with human diurnal preference. Sleep 21, 569–576. [DOI] [PubMed] [Google Scholar]
  17. Keijzer H., Smits M. G., Duffy J. F., Curfs L. M. G. (2014). Why the dim light melatonin onset (DLMO) should be measured before treatment of patients with circadian rhythm sleep disorders. Sleep Med. Rev. 18, 333–339. 10.1016/j.smrv.2013.12.001 [DOI] [PubMed] [Google Scholar]
  18. Khachiyants N., Trinkle D., Son S. J., Kim K. Y. (2011). Sundown syndrome in persons with dementia: an update. Psychiatry Investig. 8, 275–287. 10.4306/pi.2011.8.4.275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Koike N., Yoo S. H., Huang H. C., Kumar V., Lee C., Kim T. K., et al. (2012). Transcriptional architecture and chromatin landscape of the core circadian clock in mammals. Science 338, 349–354. 10.1126/science.1226339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Kojetin D. J., Burris T. P. (2014). REV-ERB and ROR nuclear receptors as drug targets. Nat. Rev. Drug Discov. 13, 197–216. 10.1038/nrd4100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kolodyazhniy V., Späti J., Frey S., Götz T., Wirz-Justice A., Kräuchi K., et al. (2012). An improved method for estimating human circadian phase derived from multichannel ambulatory monitoring and artificial neural networks. Chronobiol. Int. 28, 1078–1097. 10.3109/07420528.2012.700669 [DOI] [PubMed] [Google Scholar]
  22. Kwak E. L., Bang Y. J., Camidge D. R., Shaw A. T., Solomon B., Maki R. G., et al. (2010). Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N. Engl. J. Med. 363, 1693–1703. 10.1056/NEJMoa1006448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Lewy A. J., Rough J. N., Songer J. B., Mishra N., Yuhas K., Emens J. S. (2007). The phase shift hypothesis for the circadian component of winter depression. Dialogues Clin. Neurosci. 9, 291–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Lockley S. W., Dressman M. A., Xiao C., Licamele L., Polymeropoulos M. H. (2013). RESET study demonstrates that tasimelteon maintains entrainment of melatonin and cortisol in totally blind individuals with non-24-hour circadian rhythms, in The Endocrine Society's 95th Annual Meeting and Expo (ENDO) (San Francisco, CA: Endocrine Society; ). [Google Scholar]
  25. Long A. M., Zhao H., Huang X. (2012). Structural basis for the potent and selective inhibition of casein kinase 1 epsilon. J. Med. Chem. 55, 10307–10311. 10.1021/jm301336n [DOI] [PubMed] [Google Scholar]
  26. Lynch T. J., Bell D. W., Sordella R., Gurubhagavatula S., Okimoto R. A., Brannigan B. W., et al. (2004). Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N. Engl. J. Med. 350, 2129–2139. 10.1056/NEJMoa040938 [DOI] [PubMed] [Google Scholar]
  27. Maury E., Hong H. K., Bass J. (2014). Circadian disruption in the pathogenesis of metabolic syndrome. Diabetes Metab. 40, 338–346. 10.1016/j.diabet.2013.12.005 [DOI] [PubMed] [Google Scholar]
  28. McCarthy M. J., Welsh D. K. (2012). Cellular circadian clocks in mood disorders. J. Biol. Rhythms 27, 339–352. 10.1177/0748730412456367 [DOI] [PubMed] [Google Scholar]
  29. Meijer J. H., Rietveld W. J. (1989). Neurophysiology of the suprachiasmatic circadian pacemaker in rodents. Physiol. Rev. 69, 671–707. [DOI] [PubMed] [Google Scholar]
  30. Melosky B. (2014). Review of EGFR TKIs in metastatic NSCLC, including ongoing trials. Front. Oncol. 4:244. 10.3389/fonc.2014.00244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Mohawk J. A., Green C. B., Takahashi J. S. (2012). Central and peripheral circadian clocks in mammals. Annu. Rev. Neurosci. 35, 445–462. 10.1146/annurev-neuro-060909-153128 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Neubauer D. N. (2015). Tasimelteon for the treatment of non-24-hour sleep-wake disorder. Drugs Today 51, 29–35. 10.1358/dot.2015.51.1.2258364 [DOI] [PubMed] [Google Scholar]
  33. Olsen D., Jorgensen J. T. (2014). Companion diagnostics for targeted cancer drugs - clinical and regulatory aspects. Front. Oncol. 4:105. 10.3389/fonc.2014.00105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Personalized Medicine Coalition (2014). The Case for Personalized Medicine, 4th Edn (Washington, DC: ). [Google Scholar]
  35. Roenneberg T. (2013). Chronobiology: the human sleep project. Nature 498, 427–428. 10.1038/498427a [DOI] [PubMed] [Google Scholar]
  36. Rosenwasser A. M., Dwyer S. M. (2001). Circadian phase shifting: Relationships between photic and nonphotic phase-response curves. Physiol. Behav. 73, 175–183. 10.1016/S0031-9384(01)00466-8 [DOI] [PubMed] [Google Scholar]
  37. Seleem M. A., Merranko J. A., Goldstein T. R., Goldstein B. I., Axelson D. A., Brent D. A., et al. (2014). The longitudinal course of sleep timing and circadian preferences in adults with bipolar disorder. Bipolar Disord. 17, 392–402. 10.1111/bdi.12286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Smolensky M. H., Portaluppi F., Manfredini R., Hermida R. C., Tiseo R., Sackett-Lundeen L. L., et al. (2014a). Diurnal and twenty-four hour patterning of human diseases: acute and chronic common and uncommon medical conditions. Sleep Med. Rev. 21, 12–22. 10.1016/j.smrv.2014.06.005 [DOI] [PubMed] [Google Scholar]
  39. Smolensky M. H., Portaluppi F., Manfredini R., Hermida R. C., Tiseo R., Sackett-Lundeen L. L., et al. (2014b). Diurnal and twenty-four hour patterning of human diseases: cardiac, vascular, and respiratory diseases, conditions, and syndromes. Sleep Med. Rev. 21, 3–11. 10.1016/j.smrv.2014.07.001 [DOI] [PubMed] [Google Scholar]
  40. Soda M., Choi Y. L., Enomoto M., Takada S., Yamashita Y., Ishikawa S., et al. (2007). Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer. Nature 448, 561–566. 10.1038/nature05945 [DOI] [PubMed] [Google Scholar]
  41. Sprouse J., Reynolds L., Kleiman R., Tate B., Swanson T. A., Pickard G. E. (2010). Chronic treatment with a selective inhibitor of casein kinase I delta/epsilon yields cumulative phase delays in circadian rhythms. Psychopharmacology (Berl). 210, 569–576. 10.1007/s00213-010-1860-5 [DOI] [PubMed] [Google Scholar]
  42. Thatcher N., Chang A., Parikh P., Rodrigues Pereira J., Ciuleanu T., Von Pawel J., et al. (2005). Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer). Lancet 366, 1527–1537. 10.1016/S0140-6736(05)67625-8 [DOI] [PubMed] [Google Scholar]
  43. Zelinski E. L., Deibel S. H., McDonald R. J. (2014). The trouble with circadian clock dysfunction: multiple deleterious effects on the brain and body. Neurosci. Biobehav. Rev. 40, 80–101. 10.1016/j.neubiorev.2014.01.007 [DOI] [PubMed] [Google Scholar]
  44. Zhang R., Lahens N. F., Ballance H. I., Hughes M. E., Hogenesch J. B. (2014). A circadian gene expression atlas in mammals: Implications for biology and medicine. Proc. Natl. Acad. Sci. U.S.A. 111, 16219–16224. 10.1073/pnas.1408886111 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Frontiers in Pharmacology are provided here courtesy of Frontiers Media SA

RESOURCES