Научная статья на тему 'FROM CHRONORISK TO CHRONOTHERAPY, WITH FOCUS ON THE CARDIOVASCULAR SYSTEM'

FROM CHRONORISK TO CHRONOTHERAPY, WITH FOCUS ON THE CARDIOVASCULAR SYSTEM Текст научной статьи по специальности «Клиническая медицина»

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Ключевые слова
biorhythms6 circadian rhythms / chronorisk / chronotherapy / chronoteranostics / биоритмы / циркадианные ритмы / хронориск / хронотерапия / хронотераностика

Аннотация научной статьи по клинической медицине, автор научной работы — G. Cornelissen, L. A. Beaty, D. Gubin, J. Siegelova, A. Havelkova

An organism’s response to a given stimulus changes predictably depending on the time of its administration, due in large part to the endogenous circadian system. Such changes in susceptibility to a wide variety of stimuli led to the concept of chronorisk to reflect the hours of changing resistance to external agents. Chronorisk also constitutes the foundation for the fields of chronotherapy and chronopharmacology, as circadian rhythms affect all aspects of pharmacology, from absorption and distribution to metabolism and excretion. Recent advances in chronobiology indicated how circadian disruption relates to increased disease risk, and brought awareness about inter-individual disparities in circadian phase (approximated by chronotype). The principle of chronotherapy has evolved accordingly. New studies bring evidence for the merit of determining the optimal time to administer a given medication on a personal basis in preference to making general recommendations in terms of time of day. Accounting for the chronodiagnosis in recommending a time to treat, known as chronotheranostics, is one way to personalize chronotherapy, as illustrated for the case of blood pressure disorders. We present different approaches to chronotherapy and discuss the relative merits of several study designs for personalized chronotherapy.

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ОТ ХРОНОРИСКА К ХРОНОТЕРАПИИ С АКЦЕНТОМ НА СЕРДЕЧНО-СОСУДИСТУЮ СИСТЕМУ

Реакция организма на тот или иной стимул предсказуемо меняется в зависимости от времени его предъявления, что во многом обусловлено работой эндогенной циркадной системы. Подобные изменения восприимчивости к самым разным стимулам привели к появлению понятия хронориска, отражающего часы изменения устойчивости организма к внешним воздействиям. Хронориск также является основой хронотерапии и хронофармакологии, поскольку циркадные ритмы влияют на все аспекты фармакологии — от всасывания и распределения до метаболизма и экскреции. Последние достижения в области хронобиологии показали, как нарушение циркадных ритмов связано с повышенным риском заболеваний, и позволили осознать межиндивидуальные различия в циркадных фазах (аппроксимируемых хронотипом). Соответственно развивался и принцип хронотерапии. Новые исследования подтверждают целесообразность определения оптимального времени приема того или иного лекарственного средства в индивидуальном порядке, а не общих рекомендаций по времени суток. Учет хронодиагноза при рекомендации времени лечения, так называемая хронотераностика, является одним из способов персонализации хронотерапии, что показано на примере нарушений артериального давления. Мы представляем различные подходы к хронотерапии и обсуждаем относительные достоинства нескольких дизайнов исследований для персонализированной хронотерапии.

Текст научной работы на тему «FROM CHRONORISK TO CHRONOTHERAPY, WITH FOCUS ON THE CARDIOVASCULAR SYSTEM»

FROM CHRONORISK TO CHRONOTHERAPY, WITH FOCUS ON THE CARDIOVASCULAR SYSTEM

G. Cornelissen1, L. A. Beaty1, D. Gubin2, J. Siegelova3, A. Havelkova3, K. Otsuka1,4

1 Halberg Chronobiology Center, University of Minnesota, Minneapolis, MN, USA 2 Laboratory for Chronobiology and Chronomedicine, Research Institute ofBiomedicine and Biomedical Technologies, Medical University, Tyumen, Russia 3 Masaryk University, Brno, Czech Republic 4 Tokyo Women's Medical University, Tokyo, Japan

ОТ ХРОНОРИСКА К ХРОНОТЕРАПИИ С АКЦЕНТОМ НА СЕРДЕЧНО-СОСУДИСТУЮ СИСТЕМУ

Г. Корнелиссен1, Л. Бьюти1, Д. Губин2, Я. Сегелова3, А. Хавелкова3, К. Отсука1,4

1 Центр хронобиологии Халберга, Университет Миннесоты, Миннеаполис, США 2 Лаборатория хронобиологии и хрономедицины, НИИ биомедицины и биомедицинских технологий, Тюменский государственный медицинский университет, Тюмень, Россия 3 Университет Масарика, Брно, Республика Чехия 4 Токийский женский медицинский университет, Токио, Япония

An organism's response to a given stimulus changes predictably depending on the time of its administration, due in large part to the endogenous circadian system. Such changes in susceptibility to a wide variety of stimuli led to the concept of chronorisk to reflect the hours of changing resistance to external agents. Chronorisk also constitutes the foundation for the fields of chronotherapy and chronopharmacology, as circadian rhythms affect all aspects of pharmacology, from absorption and distribution to metabolism and excretion. Recent advances in chronobiology indicated how circadian disruption relates to increased disease risk, and brought awareness about inter-individual disparities in circadian phase (approximated by chronotype). The principle of chronotherapy has evolved accordingly. New studies bring evidence for the merit of determining the optimal time to administer a given medication on a personal basis in preference to making general recommendations in terms of time of day. Accounting for the chronodiagnosis in recommending a time to treat, known as chronotheranostics, is one way to personalize chronotherapy, as illustrated for the case of blood pressure disorders. We present different approaches to chronotherapy and discuss the relative merits of several study designs for personalized chronotherapy.

Keywords: biorhythms6 circadian rhythms, chronorisk, chronotherapy, chronoteranostics

Реакция организма на тот или иной стимул предсказуемо меняется в зависимости от времени его предъявления, что во многом обусловлено работой эндогенной циркадной системы. Подобные изменения восприимчивости к самым разным стимулам привели к появлению понятия хронориска, отражающего часы изменения устойчивости организма к внешним воздействиям. Хронориск также является основой хронотерапии и хронофармакологии, поскольку циркадные ритмы влияют на все аспекты фармакологии — от всасывания и распределения до метаболизма и экскреции. Последние достижения в области хронобиологии показали, как нарушение циркадных ритмов связано с повышенным риском заболеваний, и позволили осознать межиндивидуальные различия в циркадных фазах (аппроксимируемых хронотипом). Соответственно развивался и принцип хронотерапии. Новые исследования подтверждают целесообразность определения оптимального времени приема того или иного лекарственного средства в индивидуальном порядке, а не общих рекомендаций по времени суток. Учет хронодиагноза при рекомендации времени лечения, так называемая хронотераностика, является одним из способов персонализации хронотерапии, что показано на примере нарушений артериального давления. Мы представляем различные подходы к хронотерапии и обсуждаем относительные достоинства нескольких дизайнов исследований для персонализированной хронотерапии.

Ключевые слова: биоритмы, циркадианные ритмы, хронориск., хронотерапия, хронотераностика

Introduction

Living organisms are organized in space and time. Biological rhythms are periodically recurring changes in the intensity and nature of biological processes and phenomena [1]. They characterize all levels of biological organization, from intracellular processes, tissues, organs and organ systems to the individual, populations, and the biosphere [1, 2]. While they span a broad frequency range, cir-

cadian rhythms received particular attention since their partly endogenous nature was placed on a solid molecular basis [3—5].

Living organisms have an autonomous, evolution-arily conserved internal timing system [6]. The 24-hour alternation between light and darkness in the environment synchronizes the circadian clock in the suprachias-matic nuclei (SCN) of the brain's hypothalamus [7]. Intrinsically photosensitive retinal ganglion cells in the

retina transmit light information to the SCN [8]. The SCN orchestrates circadian rhythms throughout the body. The molecular circuitry of the circadian clock, however, is present in almost all cells, including those of peripheral organs. Other external inputs, such as temperature, food intake, and exercise, also affect cells in peripheral organs [9]. Each cell contains a biochemical oscillator consisting of interlocked transcription-translation feedback loops, composed of several clock genes and their protein products. The primary loop, lasting about 24 hours, consists of the core clock genes Email and Clock on the positive arm and Per and Cry on the negative arm ofthe primary loop [10—12]. Interlocking to this core loop, a molecular feedback loop regulates Email transcription in which transcription factor RORa activates and REV-ERB suppresses Email transcription [13]. In addition, the autofeedback loop of rhythmic Dec transcription also interacts with the core loop [14]. These multiple interlocked molecular feedback loops function to stabilize periodicity in cells and enhance the amplitude when cellular oscillators are synchronized [15]. Directly or indirectly, the network of core clock genes modulates the expression of multiple genes and biological processes throughout the body [16].

Circadian rhythms play an important role in many physiological and pathophysiological functions, including functions of the heart. Cardiovascular functions exhibit pronounced 24-hour variations, as observed in blood pressure [17], heart rate [18], circulating catecholamines [19, 20], markers ofblood coagulation [21, 22] and vascular endothelial function [23]. Epidemiological studies also indicate a marked increase in the morning in adverse cardiovascular events, including myocardial infarctions, strokes, ventricular arrhythmia, and sudden cardiac deaths [24—29].

Hours of changing resistance: Chronorisk

As early as 1955, Halberg et al. reported on the 24-hour periodicities characterizing eosinophil counts and rectal temperature of I mice of different ages studied under standardized experimental conditions [30]. In addition, the susceptibility of these mice to audiogenic convulsions, and their ability to recover from convulsions also followed 24-hour rhythms of large magnitude, accounting for statistically significant differences in the occurrence of convulsions between 11% by day compared to 63% by night [30]. A susceptibility rhythm to E. coli endotoxin in C mice reported in 1960 was such that a dose of endotoxin compatible with survival of most animals when given during the middle of the daily dark span was highly lethal when given 8 to 12 hours earlier or later, Figure 1 [31]. Many other studies followed that provided evidence for the generality ofcirca-dian response rhythms to a host of external stimuli, including X-irradiation [32] and drugs [33].

The physiological response to external stimuli changes predictably as a function of circadian stage. Chronorisk thus constitutes the foundation for the fields

of chronotherapy and chronopharmacology, as circadian rhythms affect all aspects of pharmacology, from absorption and distribution to metabolism and excretion. It thus becomes possible to optimize treatment by timing its administration in order to maximize its effectiveness while minimizing its side effects. This is the principle underlying timed treatment.

Principles of Chronotherapy and Chronopharmacology

Under the standardized conditions ofthe laboratory, timing repeatedly tipped the scale between health and disease, and even between death and survival. This is, for instance, the case for the exposure of mice to the same dose of an adrenal cortical inhibitor (SU-4885) as a function of circadian timing. Three experiments involved 70, 210, and 350 mice, which were tested at six different circadian stages, 4 hours apart in relation to the lighting regimen of 12 hours of light alternating with 12 hours of darkness (LD12:12). Depending on the dosage, most if not all mice died when exposed to SU-4885 late during the light (rest) span, but most if not all survived when exposed to the same dosage of the same agent earlier during the rest span [34]. These results indicate that timing is as important, if not more important than dosing.

CIRCADIAN RHYTHM in MURINE SUSCEPTIBILITY to E. Coli ENDOTOXIN

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Fig. 1. Susceptibility rhythm to endotoxin and its reproducibility in two separate experiments. Percentage mortality from Difco's E. coli lipopolysaccharide (100 pg/20 g, i. p.) in separate groups of standardized mature C mice injected at 4-hour intervals. Evaluation at 1-week post-injection [31]. © Halberg Chronobiology Center

The response to a single daily «meal» also makes the difference between life and death in a mammalian model of potentially fatal interactions between hunger, cold and rhythms, namely the singly-housed mouse abruptly restricted to a single daily «meal» [35]. Most singly-housed mice (but not multiply-housed mice) die when they have access to food for 4 hours during the first part of the light (rest) span each day, but if food is only available during 4 hours in the early part of the dark (active) span, most of the mice survive [35].

From a pharmacological viewpoint, changes in drug effectiveness depend on the sensitivity oftissues and organs and on circadian mechanisms of the signal transduction within cells, present at all stages of drug action, from absorption and distribution to metabolism and excretion (ADME). Biological rhythms characterize the pharmacokinetics of most classes ofdrugs, due to parallel changes in the physiological functions and variables involved in the ADME of drugs, but the peak and trough values of these functions and variables do not occur at the same hour of the day in every factor involved in drug disposition [36]. Considerable 24hour variation described in the pharmacokinetics, efficacy, and side effect profiles of many therapeutics relates to 24hour rhythms in ADME, as well as to pharmacodynamic variables, such as target expression [37]. Twenty-four-hour oscillations in abundance of proteins necessary for either drug absorption or metabolism result in circadian pharma-cokinetics, and oscillations in the physiological systems targeted by these drugs result in circadian pharmacodynamics [38]. Chemical properties ofthe drug (such as its lipophilic-ity) affect its distribution rate [37]. Drug metabolism in the liver includes enzymatic processes that are circadian periodic [39, 40]. oxidation, reduction, and hydrolysis by monooxy-genases; and conjugation by transferases, resulting in the production of conjugates that can be readily excreted [37]. Kidney function and its tissue-specific circadian clocks strongly modulate the excretion rate ofmetabolized chemicals and drugs. Glomerular function, xenobiotic-metaboliz-ing enzymes and detoxification pathways, filtration rate, renal blood flow, tubular reabsorption, transporters, electrolytes, and urinary pH are all circadian rhythmic [41, 42].

While there is mounting evidence for the importance of drug dosing time in pharmacokinetics, pharmaco-dynamics, and toxicity and for the effect of circadian rhythms on drug ADME, challenges remain. In part, they relate to translational difficulties caused by interspecies differences, and from variability in study design and a lack of complete understanding of how the circadian clock affects physiological factors that strongly influence ADME [43].

Relative Merits of Different Study Designs in the Context of Blood Pressure Chronotherapy

Blood pressure (BP) chronotherapy presents the advantage that BP serves both as a marker variable and as a gauge of the response to timed treatment (chronothera-

py). In clinical health and uncomplicated hypertension, BP undergoes a large-amplitude circadian rhythm with lower nighttime values during sleep and higher values during the active daytime [44, 45]. Because circadian characteristics of BP can also vary greatly from one day to another, measuring BP around the clock for several days, preferably by ambulatory BP monitoring (ABPM) is important to detect reliably abnormal variability patterns known as Vascular Variability Disorders (VVDs) [46], associated with increased cardiovascular disease risk, as shown in several outcome studies [47].

Typically, the chronobiologic interpretation of an ABPM record consists of fitting by least squares a model consisting of cosine curves with periods of 24 and 12 hours to approximate the circadian waveform more closely in most cases [48]. The monitoring of clinically healthy men and women in different age groups led to the derivation of time-specified (chronobiologic) reference limits (as 90% prediction limits) and reference values for the 24-hour parameters (MESOR, M, the rhythm-adjusted mean, amplitude, A, and acrophase, <) that are qualified by gender and age [48]. Deviation from these norms identify VVDs: MESOR-Hypertension (MH), Circadian HyperAmplitude-Tension (CHAT), and ecphasia when the BP-M or BP-A are above the upper 95% prediction limit, or BP-< is outside the 90% prediction limits of clinically healthy peers matched by gender and age. In addition, pulse pressure (PP) is considered excessive when it exceeds 60 mmHg and heart rate (HR) variability (HRV) is considered deficient when the standard deviation (SD) of around-the-clock HR measurements drops below 7.5 beats/min [47, 48]. Against this background, chronothera-py protocols were designed that aimed at lowering BP while also restoring a healthy circadian pattern of BP.

The optimization by timing of the once-daily administration of prazosin, an a i -blocker acting as an inverse agonist at ai adrenergic receptors, was perhaps the first chronotherapy protocol of BP [49, 50]. The study involved only 10 patients, but its design is impeccable. The 10 patients with idiopathic hypertension participating in the study were admitted to a metabolic ward, where they were fed constant diets and were kept recumbent during the entire study. The intervention started after 3 days of monitoring to acclimate patients to hospital conditions. BP was measured around the clock at 30-minute intervals with the first available automatic BP monitor, the Roche Arteriosonde (an analog device) [51]. In this double-blind, placebo-controlled study, every patient received one capsule, either the active drug (1 mg prazosin) or placebo, every 4 hours for 7 days. Only one capsule per day contained prazosin, the time of its administration delayed by 4 hours every day. This study showed that the effect and duration of prazosin's action depended on the time of its administration [49, 50].

Randomized, double-blind, placebo-controlled trials of anti-hypertensive medications administered at one of six different circadian stages are very difficult to carry out,

notably when treatment needs to be taken for long enough times to obtain information on actual outcome. Different investigators have followed different approaches.

One early study included two arms, a chronobio-logic approach compared to the then-conventional treatment of dosing three times a day [52, 53]. Chronobiologically, the time ofthe once-daily dosing was determined based on the circadian acrophase of BP measured around the clock and the pharmacokinetics of the anti-hypertensive drug: the selected treatment time targeted the anticipated time when the medication would be most effective when BP reached its highest daily peak. Three drugs were tested using this protocol: the p-blocker propranolol, the (^-adrenergic agonist and imidazoline-receptor agonist clonidine, and the <22--adrenergic agonist a-methyldopa In each case, compared to treatment three times a day, using a smaller dose of the drug, chronother-apy (applied 1.5 to 2 hours before the daily BP peak) lowered BP to a larger extent, had a faster treatment response rate, and was accompanied by fewer complications and less over-dosage [52, 53].

Several pilot studies considered six different treatment times equally distributed between the time of awakening and bedtime, so that outcome measures can be fitted with a 24-hour cosine curve to determine the optimal treatment time when the zero-amplitude (no-rhythm) hypothesis is rejected with statistical significance. The rationale of these pilot studies is to determine in a first stage what the optimal circadian stage is to administer the treatment before selecting this test time in larger trials for comparison with conventional treatment. For such N-of-6 pilot studies to yield reliable results, it is important that study participants be a random sample of the target population and that they be randomly assigned to the different treatment times. One such N-of-6 pilot study tested effects of low-dose aspirin on blood coagulation and BP [54]. Another involved 24 dental patients undergoing peri-odontal surgery [55].

A particular case consists of the same patient switching among the six different treatment times. Such N-of-1 studies underlie the personalized optimization of treatment, recognizing that every patient is different, presenting with different diagnoses once the VVDs are also considered. Parameter tests [56] can assess the statistical significance of a change in average BP (MESOR) as well as that of a change in the circadian amplitude and/or acrophase ofBP. In one study [57], switching the administration time of diltiazem hydrochloride (240 mg/day) from awakening time to mid-sleep in a 75-year old hypertensive man was associated with a reduction in systolic (S) BP MESOR from 147.7±2.1 to 141.7±1.0 mmHg (p=0.017) and in its circadian amplitude from 17.1±3.0 to 9.8±1.5 mmHg (P=0.039). The self-starting cumulative sum (CUSUM) control chart is another method capable of assessing the effectiveness of a given intervention for the individual patient [58]. As illustrated in Figure 2 (top), a breakout of one of the two (upward/downward) CUSUM

curves outside the decision interval (shaded band) indicates that a statistically significant change (increase/decrease) in the endpoint examined took place. Following the CUSUM curve backwards to the time when it first deviates from zero provides an estimate of when the change took effect [59]. Since the start of intervention is known, if this time coincides with the time when the CUSUM line first departs from zero, a causal relation may be assumed. The MESOR of SBP of a man newly diagnosed with hypertension decreased almost immediately once val-sartan hydrochlorothiazide (Diovan HTC) treatment started, its efficacy detected after about a month. Figure 2 (bottom) also shows that when the medication was taken in the evening, the circadian amplitude of SBP increased.

Two small clinical trials used this N-of-1 design. One enrolled 20 MESOR-hypertensive patients to optimize the administration of Micardis (Telmisartan, an angiotensin II receptor antagonist), with or without low-dose aspirin [60]. This cross-over, double-blind, randomized study consisted of three stages (placebo, Micardis, and Micardis with low-dose aspirin), each lasting 7 days. The treatment was administered each day at a different circadi-an stage, 3 hours apart, from the time of awakening to bedtime. Overall, treatment was most effective in decreasing BP when taken 6 to 9 hours after awakening. The other study recruited 30 hypertensive patients to optimize the administration of Hyzaar (Losartan/hydrochloride, an angiotensin II receptor antagonist combined with a diuretic) [61]. In this trial, treatment was given at the same circa-dian stage for at least one month before it was switched to another circadian stage, 3 hours later. Before the start of treatment and at the end of each about monthly stage when treatment was given at one of six different circadian stages, 3 hours apart between the time of awakening and bedtime, each patient provided a 7-day/24-hour ABPM record. Overall, a larger lowering of the diastolic (D) BP MESOR was achieved when treatment was administered in the early morning for more patients, while treatment upon awakening was the best choice for most patients to reduce the circadian BP amplitude the most. Importantly, the optimal treatment time differed considerably among patients [61].

When designing a chronotherapy trial, several factors need to be considered. Can one manage a protocol consisting of six test times, which may require a larger number of participants and complicate logistics? Or can one afford following a two-arm design without compromising the accuracy of the estimated optimal treatment time? Ifthe protocol includes six different treatment times, equally distributed between the time of awakening and bedtime, should one use a transversal or longitudinal design? In other words, should one randomly assign different patients to each treatment time, or should one give the same dose of the same drug at different circadian stages to the same patients? In the latter case, how long should patients take the same dose of the same medication at a given circadian stage before switching to the next treat-

Fig. 2. The same dose ofDiovan HTC (80/12.5) was taken at the same circadian stage for 17 days before the treatment time was advanced by 3 to 4 hours. After testing all 6 circadian stages, the protocol was repeated using shorter spans on each treatment time. Treatment was effective in bringing about a statistically significant decrease in the SBP MESOR, detected after about one month on treatment. When taken in the evening, treatment was associated with a statistically significant increase in the circadian amplitude of SBP. © Halberg Chronobiology Center

ment time? Choices made will depend on whether outcome variables are physiological changes or adverse cardiovascular events; they will also determine whether con-

Fig. 3. Events after follow-up of 23,164 patient-years in 3,468 treated or untreated hypertensive patients from four prospective studies performed in Europe, classified by their night-day ratio as reverse dippers (RD, N=421), non-dippers (ND, N=1407), dippers (DP, N=1295), or extreme dippers (ED, N=345) based on 24-hour ABPM. Data from Fagard et al. [65]. © Halberg Chronobiology Center

elusions apply to a given population or to individual patients. Most large trials, however, foeus on the question whether dosing is better in the morning or evening.

Current Debate of Morning Versus Evening Dosing of Anti-Hypertensive Medication

Despite the considerable variability in eireadian rhythm characteristics from one day to another [62], most studies rely on ABPM records limited to 24 hours or at most 48 hours [63]. Moreover, in order to approximate the circadian variation in BP, clinicians typically rely on the day-night ratio (DNR) or night-to-day ratio (NDR) of BP, estimated from 24-hour ABPM records [64, 65]. The DNR is calculated as the difference between the daytime and nighttime means, expressed as a percentage of the 24-hour mean, whereas the NDR is computed as the ratio of the nighttime mean to the daytime mean. Whether considering the DNR or the NDR, four different kinds of BP patterns are defined: a healthy circadian BP pattern should dip by 10% to 20% by night (dippers). A nighttime dip less than 10% identifies non-dippers, while a nighttime dip exceeding 20% identifies extreme dippers; BP patterns such that the nighttime mean is higher than the daytime mean identify reverse dippers (or risers). These limits apply to all adults of both genders and do not account for the post-prandial dip in early afternoon that accentuates with increasing age [66].

While some studies report an increased cardiovascular risk in the absence ofBP dipping, reverse dippers are generally found to carry the largest risk [67-76], as illustrated in Figure 3 based on data from Fagard et al [65]. Conditions such as diabetes [77, 78] and kidney disease [79-81] have long been known to be associated with changes in the circadian BP acrophase, and even with a reversal of the circadian BP rhythm, which can be associated with marked changes in the DNR or NDR (and corresponding dipping category), as illustrated in Figure 4.

Risk associated with extreme dipping remains controversial [78]. Increased risk of stroke and silent cerebral disease was reported in several Japanese studies [82-86]. Risk associated with extreme dipping tends to be found in older patients in contrast to younger populations where it is reportedly protective [87-89]. While some have linked the risk of extreme dipping to that related to the morning BP surge [90, 91], others refute this association [92]. As shown in Figure 3, the risk associated with extreme dipping relates to all cardiovascular events, but not to major cardiovascular events. In our own clinical trial of an Asian population,

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over-swinging (CHAT) related to the risk of cerebral ischemic events but not to coronary artery disease [93, 94].

Against this background, some investigators consider the additional benefit of achieving a nocturnal BP dip between 10% and 20% when treating hypertensive patients. Several trials compared outcomes between groups of patients receiving anti-hypertensive treatment in the morning or evening [95]. Since evening dosing tends to decrease nocturnal BP and hence increase the day-night ratio [96, 97], it is generally viewed as beneficial. Reduced adverse outcomes have primarily been achieved for patients with diabetes and chronic kidney disease who tend to have a weakened circadian BP rhythm, some even showing a reverse circadian BP pattern [97-00]. Little concern, however, seems to be given for the risk of achieving extreme dipping in some patients, which can lead to nocturnal hypotension and represents a known risk of optic neuropathy in glaucoma patients [101].

It has been recognized that activity [102], sleep [103], age [89, 104], and medications [105] all affect the day-night difference in BP, likely contributing to the poor reproducibility of the DNR or NDR [106, 107]. Moreover, the BP waveform can differ greatly among patients in need of treatment [108], including the exacerbation of the post-prandial dip with advancing age [66]. In this respect, a study showed that, like the nocturnal BP dip, the post-prandial dip in BP also modulates the risk of acute ischemic stroke [109]. The extent ofthe post-prandial dip in early afternoon also affects the DNR, as illustrated in Figure 5.

In view of these limitations, two questions need to be raised.

— First, the limitations of the DNR or NDR need to be better understood, the merits of assessing the circadian BP rhythm in terms of its amplitude and phase should be recognized, and means should be provided for their easy determination by clinicians.

— Second, the limitations of current clinical trials comparing morning versus evening dosing to draw across-the-board recommendations for treatment timing need to be better understood, and trials aiming at personalized chronotherapy that account for differences in circadian BP profile (chronodiagnosis) should be implemented.

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DNR: 14, JO; NOR; 0.S7 (both models)

DNR: 5.24; NDR: 0.95 (2-houf delayed) DNR: 0.00; NOR; 1.00 (3-houf delayed) DNR: -5.24; NDR; 1.05 (4-hOur delayed)

Fig. 4. Left: One- or two-component models approximate the circadian variation in SBP. The Day-Night Ratio (DNR) is between 10% and 20% and the Night -to-Day Ratio (NDR) is between 0.8 and 0.9, both corresponding to a dipper pattern. Right: As compared to the one-component model shown on the left (solid black curve), similar models delayed by 2, 3, or 4 hours (solid, dashed, and dotted gray curves, respectively) are associated with non-dipper and even reverse-dipper patterns. Similar results apply to the two-component model: after a delay of 2, 3, or 4 hours, the DNR is 2.82, —2.78, and —7.65, respectively, and the NDR is 0.97, 1.03, and 1.08, respectively. © Halberg Chronobiology Center

Fig. 5. Left: The one-component model approximates the circadian variation observed in young adults. The Day-Night Ratio is between 10% and 20% and the Night -to-Day Ratio is between 0.8 and 0.9, both corresponding to a dipper pattern. Right: A composite model, differing mostly from the model on the left by a sharp post-prandial dip in early afternoon, approximates the circadian pattern likely observed in the elderly. Whereas the 24-hour amplitude is unchanged, the DNR is below 10% and the NDR is between 0.9 and 1.0, both corresponding to a non-dipper pattern. © Halberg Chronobiology Center

Toward Personalized Chronotherapy

Figure 6 addresses concerns about reliance on the dipping pattern of BP. It also attempts to account for the apparent controversy in the literature regarding the risk associated to extreme dipping. Cardiovascular disease risk, gauged by the incidence ofmorbid events in a6-year follow-up study [93, 94], has a nonlinear relation to the circadian amplitude of SBP (top) or DBP (bottom). Risk increases only after a threshold is exceeded [66], as illustrated by the up

Fig. 5. A: The circadian amplitude of SBP (top) or DBP (bottom) has a nonlinear relation to cardiovascular disease risk. The up arrow indicates a statistically significant increase in risk.

B: Circadian profiles of SBP with acceptable [(1) and (2)] or excessive [(3)] amplitudes are displayed with their corresponding DNR and NDR values. DNR or NDR for intermediate amplitudes (middle) not yet associated with increased risk already indicate an extreme dipper pattern. Without or with the second harmonic term, models are simulated by the following equations: model (1): SBP = 120 + 12cos(22nt—1.25n) + 6cos(42nt—1.5n); model (2): SBP = 120 + 16.4cos(2nt-1.25n) + 8.2cos(42nt-1.5n); model (3): SBP = 120 + 22cos(22nt-1.25n) + 11cos(42nt-1.5n). C: The circadian amplitude of SBP (left) and DBP (right) also changes nonlinearly with age, approximated by a quadratic polynomial for men (closed triangles and solid curve) and women (open circles and dashed curve). Fitted models are for SBP-A 5.1108 + 0.3354Age - 0.004Age2 (men) and 0.5387 + 0.5211Age - 0.0062Age2 (women), and for DBP-A 3.5836 + 0.2653Age - 0.0033Age2 (men) and 4.5127 + 0.2236Age - 0.0031Age2 (women). See text. © Halberg Chronobiology Center

arrow separating amplitude ranges where a statistically significant increase in risk occurs, the threshold represented by the gray area. Models (in Figure 6B) with circadian SBP amplitudes that are either below or above the threshold (in Figure 6A) have DNR and NDR values that do not indicate similarly acceptable ofexcessive dipping patterns. The DNR and NDR indicate a dipper pattern only for model (1), Figure 6B (left). However, they already indicate an excessive dipping pattern for model (2), Figure 6B (middle), associated with circadian amplitudes still in the acceptable range. DNR values well above 25% correspond to a circadian BP profile deemed to have an excessive amplitude, Figure 6B (right). As shown in Figure 6C, the circadian amplitude of SBP (left) and DBP (right) also changes nonlinearly with age, approximated by a quadratic polynomial for men (closed triangles and solid curve) and women (open circles and dashed curve). Accordingly, in clinical health, SBP-A varies from higher values of 12.1 (men) and 11.5 (women) mmHg around 40 years of age to lower values of9.0 (men) and 6.6 (women) mmHg around 70 years of age. Similarly, DBP-A decreases from higher values of 8.9 (men) and 8.5 (women) mmHg around 40 years of age to lower values of 60 (men) and 50 (women) mmHg around 70 years of age. Since DNR values above 20% or NDR values below 0.8 are fixed, these values carry a different meaning for older than

for younger patients. They represent a relatively larger excess in circadian variation for older patients than similar DNR or NDR values for younger patients. The difference that a fixed DNR or NDR value represents in terms of the expected deviation from chronobiologic norms in health likely accounts for results in the literature that report cardiovascular risk associated with extreme dipping in older but not in younger patients [89].

Studies aiming at personalized chronotherapy that account for all abnormalities ofthe circadian variation in BP, that is for the chronodiagnosis, do not need to be more difficult to implement than current clinical trials. Depending on outcome measures used to decide on the best treatment time, different protocols can be considered. If physiological outcome measures are used, each patient's response to treatment administered at several circadian stages tested one-at-a time sequentially can be assessed systematically. A decision can then be made, based on circadian characteristics determined from ABPM records over spans of several days carried out after the medication was taken for a long enough time to have reached a stable effect. Treatment can then continue at the presumed optimal time during follow-up when actual adverse events are recorded, for comparison with patients treated as usual. In the absence of physiological outcome measures, the optimal treatment time can be inferred based

on the circadian characteristics ofthe BP profile obtained by ABPM over several days and on the pharmacokinetics ofthe prescribed medication, as done earlier [52, 53]. In addition to immediate responses in BP, the incidence of adverse events can be recorded during follow-up, for comparison to a control group receiving treatment as usual.

The rationale underlying the above discussion assumes that the optimal treatment time can be determined using marker rhythmometry. Another approach often used in chronobiology is to estimate a person's circadian phase. Molecular [110] and genetic approaches to so doing are promising as they may also reveal the physiological mechanism underlying the abnormal BP pattern. Other avenues include the determination of dim-light melatonin onset [111], the monitoring ofmarker variables such as cortisol or temperature [41], or the assessment of chronotype by questionnaire [112, 113]. While these approaches all have merit, they remain limited by the fact that mechanisms underlying abnormal BP patterns are complex and far from being completely understood. Relying on marker rhythmometry and the monitoring of BP hence remains a good option at this time.

Concluding Remarks

Recent advances in chronobiology related to the determination of a person's circadian phase brought awareness about their wide inter-individual disparities. As illustrated above for the case of BP, different mechanisms may also underlie the presentation of abnormal circadian patterns in BP. Moreover, BP disorders represent a risk factor for different adverse cardiovascular outcomes. All these considerations support the need for a personalized approach to chronotherapy.

Recent work also indicated how circadian disruption relates to increased disease risk, including cardiovascular disease, diabetes, obesity, hypertension, sleep disorders, and metabolic disorders [114]. Several strategies emerged to counteract effects related to circadian disruption, all part of the broad concept of chronotherapy, as reviewed in a forthcoming book on Chronobiology and Chronomedicine — From Molecular and Cellular Mechanisms to Whole-Body Interdigitating Networks to be published by the Royal Society of Chemistry.

One approach to counteract or prevent circadian disruption consists of strengthening the circadian system by means of lifestyle modifications aimed at health main-

References

1. Halherg F. Chronobiology. Annu Rev Physiol 1969; 31: 675-725.

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

2. Halherg F, Cornelissen G, Otsuka K, Schwartzkopff O, Halherg J, Bakken F.F. Chronomics. Biomed & Pharmacother 2001; 55 (Suppl 1): 153s-190s.

3. Konopka RJ, Benzer S. Clock mutants of Drosophila melanogaster. Proc Natl Acad Sci USA 1971; 68(9): 2112-2116.

4. Ralph M.R, MenakerM. A mutation ofthe circadian system in golden hamsters. Science 1988; 241 (4870): 1225-1227.

5. Shearman L.P., Sriram S, Weaver D.R et al. Interacting molecular loops in the mammalian circadian clock. Science 2000; 288 (5468): 1013-1019.

6. Palm D, Uzoni A, Simon- F. et al. Evolutionary conservations, changes of circa-dian rhythms and their effect on circadian disturbances and therapeutic approaches. Neuroscience & Biobehavioral Reviews 2021; 128: 21-34.

tenance and optimization. Exposure to light by day and dark by night, exercise, and meal schedules are features amenable to manipulation to strengthen the circadian system. As eating can influence peripheral circadian rhythms, adjusting meal timing may be a way to support circadian function [115]. More important than sleep duration, keeping a regular schedule [116] and avoiding social jetlag [117] also help consolidate the benefit derived from timed treatment since taking medication at the same, presumably best time of day may no longer remain the best treatment time when the daily schedule varies too much from one day to another. In addition to timing treatment administration to optimize therapeutic effects, developing small-molecule compounds targeting clock proteins directly to alter the circadian period, phase, or amplitude is a complementary approach to chronotherapy and an active area of research [118-120].

In future studies aimed at optimizing BP treatment from a chronobiologic perspective, it will be important

— to consider all lifestyle factors affecting the cir-cadian system,

— to monitor BP around the clock for a span longer than 24 hours,

— to obtain reliable estimates of all circadian characteristics (MESOR, 24-hour amplitude and acrophase) in addition to the DNR or NDR, and

— to interpret these circadian parameters in the light ofreference values accounting for gender differences and changes as a function of age.

The treatment plan also benefits from considering all features of the chronodiagnosis (i.e., alterations in the circadian amplitude and/or phase in addition to the MESOR) and any complicating condition (such as diabetes or chronic kidney disease). Finally, all aspects of the chronopharmacokinetics and chronopharmacodynamics are best kept in mind since not all anti-hypertensive medications have the same effect on the circadian amplitude of BP [121], and different drugs have different effects on other variables that also relate to cardiovascular health (such as heart rate variability) [122]. Adjusting the chronotherapy to the chrnodiagnosis in all its different aspects was termed chronotheranostics [57].

Support:

Halberg Chronobiology Fund (GC) University ofMinnesota Supercomputing Institute (GC) A&D (Tokyo, Japan) (GC)

7. Mieda M. The central circadian clock ofthe suprachiasmatic nucleus as an ensemble ofmultiple oscillatory neurons. Neuroscience Research 2020; 156: 24-31.

8. Kofuji P., Mure L.S., Massman L.J, Purrier N, Panda. S, Engeland W.C. Intrinsically photosensitive retinal ganglion cells (ipRGCs) are necessary for light entrainment of peripheral clocks. PLoS ONE 2016; 11 (12) e0168651.

9. AyyarV.S, SukumaranS. Circadian rhythms: influence on physiology, pharmacology, and therapeutic interventions. J Pharmacokinet Pharmacodyn 2021; 48 (3) 321-338.

10. Gekakis N., Stalcnis D, Nguyen H.B. et al. Role of the CLOCK protein in the mammalian circadian mechanism. Science 1998; 280 (5369): 1564—1569.

11. Lowrey P.L, Takahashi J.S. Mammalian circadian biology: elucidating genome-wide levels of temporal organization. Annual Review of Genomics and Human Genetics 2004; 5: 407-441.

12. Cox K.H. and Takahashi J.S. Circadian clock genes and the transcriptional architecture of the clock mechanism. J Mol Endocrinol 2019; 63: R93-R102

13. Reppert S.M, Weaver D.R Coordination of circadian timing in mammals. Nature 2002; 418 (6901): 935-941.

14. Kawamoto T, Noshiro MM., Sato F. et al. A novel autofeedback loop ofDec1 transcription involved in circadian rhythm regulation. Biochem Biophys Res Commun 2004; 313 (1) 117-124.

15. Honma S, Kawamoto T, Takagi Y, Fujimoto K., Sato F, Noshiro MM., Kato Y., Honma K ec1 and Dec2 are regulators of the mammalian molecular clock. Nature 2002; 419 (6909): 841-844.

16. Vitaterna MM..H, Shimomura K., Jiang P. Genetics of circadian rhythms. Neurol Clin 2019; 37 (3) 487-504.

17. Halberg F, Drayer J.I.M, Cornelissen G., Weber M.A. Cardiovascular reference data base for recognizing circadian mesor- and amplitude-hypertension in apparently healthy men. Chronobiologia 1984; 11: 275-298.

18. Cornelissen G, Bakken E, Delmore P., ... Halberg F. From various kinds ofheart rate variability to chronocardiology. Am J Cardiol 1990; 66: 863-868.

19. Descovich G.C, Montalbet N., Kbhl J.F.W., Rimondi S., Halberg F., Ceredi C. Age and catecholamine rhythms. Chronobiologia 1974; 1: 163-171.

20. Prikryl P, Cornelissen G, Otsuka K., Halberg F. Plasma catecholamines: follow-up on 10-year study in health and cardiovascular disease. Biomed & Pharmacother 2005; 59 (Suppl 1): S180-S187.

21. Tofler G.H, Brezinski D, Schafer A.I. et al. Concurrent morning increase in platelet aggregability and the risk of myocardial infarction and sudden cardiac death. New England Journal ofMedicine 1987; 316 (24) 1514-1518.

22. Agzamova R.T, Zaslavskaya R.M., Perepyolkin K.G., Halberg F., Teibloom MM. Circadian changes of the hemocoagulation indices in healthy persons. Bull Exp Biol Med 1993; 115: 452-455.

23. Tarquini B., Perfetto F, Tarquini R., Cornelissen G., Halberg F. Endothelin-1's chronome indicates diabetic and vascular disease chronorisk. Peptides 1997; 18: 119-132.

24. Orth-Gomer K, Halberg F, Sothern R, A^cerstedt T., Theorell T., Cornelissen G. The circadian rhythm ofventricular arrhythmias. In: Takahashi R, Halberg F, Walker C (Eds.) Toward Chronopharmacology, Proc. 8th IUPHAR Cong. and Sat Symposia, Nagasaki, July 27-28, 1981. Oxford/New York Pergamon Press; 1982. pp. 191-202.

25. Muller J.E, Stone P.H, Turi Z.G. et al. Orcadian variation in the frequency of onset ofacute myocardial infarction. N Engl J Med 1985; 313 (21) 1315-1322.

26. Twidale N, Taylor S, Heddle W.F., Ayres B.F., Tonkin AM. Morning increase in the time of onset of sustained ventricular tachycardia. The American Journal ofCardiology 1989; 64: 1204-1206.

27. Willich S.N, Goldberg R.J, Maclure MM., Perriello L., Muller J.E. Increased onset of sudden cardiac death in the first three hours after awakening. American Journal of Cardiology 1992; 70 (1) 65-68.

28. Cornelissen G, Tamura K, Tarquini B. et al. Differences in some circadian patterns of cardiac arrhythmia, myocardial infarction and other adverse vascular events. Chronobiologia 1994; 21: 79-88.

29. Elliot W.J. Circadian variation in the timing of stroke onset: a meta-analysis. Stroke 1998; 29 (5) 992-996.

30. Halberg F, BittnerJ.J., Gully R.J., AlbrechtP.G., Brackney E.L. 24-hour periodicity and audiogenic convulsions in I mice of various ages. Proc Soc Exp Biol Med (Maywood) 1955; 88: 169-173.

31. Halberg F, Johnson- E.A., Brown. BW., Bittner J.J. Susceptibility rhythm to E. coli endotoxin and bioassay. Proc Soc Exp Biol Med (Maywood) 1960; 103: 142-144.

32. HausE, HalbergF, loken M.K. Orcadian susceptibility-resistance cycle of bone marrow cells to whole-body X-irradiation in BALB/c mice. In: Scheving LE, Halberg F, Pauly JE (Eds.) Chronobiology: Proceedings of the International Society for the Study of Biological Rhythms, Little Rock, Arkansas, November 8-10, 1971. Stuttgart: Georg Thieme Publishers/Tokyo: Igaku Shoin Ltd; 1974. pp. 115-122

33. HalbergF, Stephens A.N. Susceptibility to ouabain and physiologic circadian periodicity. Proc Minn Acad Sci 1959; 27, 139-143.

34. Ertel R.J, Halberg F, Ungar F. Circadian system phase-dependent toxicity and other effects ofmethopyrapone (SU-4885) in mice. J Pharmacol Exp Ther1964; 146: 395-399.

35. HalbergF. Chronobiology and nutrition. Contemporary Nutrition 1983; 8: #9, 2 pp.

36. labecqueG, BelangerPM. Biological rhythms in the absorption, distribution, metabolism and excretion of drugs. Pharmacology & Therapeutics 1991; 52 (1): 95-107.

37. MMusiek E.S, Fitzgerald G.A. Molecular clocks in pharmacology. Handb Exp Pharmacol. 2013; 217 (217): 243-260.

38. Dallmann R, Brown S.A, Gachon F. Chronopharmacology: new insights and therapeutic implications. Annu Rev Pharmacol Toxicol 2014; 54: 339-361.

39. Zhang Y.K, Yeager RL, Klaassen C.D. Orcadian expression profiles of drug-processing genes and transcription factors in mouse liver. Drug Metab Dispos 2009; 37: 106-115.

40. Panda S., Antoch MM..P, Miller B.H. et al. Coordinated transcription of key pathways in the mouse by the circadian clock. Cell 2002; 109 (3): 307-320.

41. Gubin D. Chronotherapeutic approaches. In: Chronobiology and Chronomedicine: From Molecular and Cellular Mechanisms to Whole Body Interdigitating Networks. Cornelissen G, Hirota Y (Eds.) Royal Society of Chemistry 2023; in press.

42. Knapp M.S. Chronobiology and the kidney. In: Chronobiology and Chronomedicine: From Molecular and Cellular Mechanisms to Whole Body Interdigitating Networks. Cornelissen G, Hirota Y (Eds.) Royal Society of Chemistry 2023; in press.

43. Bicker J., Alves G., Falcao A., Fortuna A. Timing in drug absorption and disposition: The past, present, and future of chronopharmacokinetics. British Journal ofPharmacology 2020; 177 (10) 2215-2239.

44. Halberg F., Cornelissen G., Halberg E. et al. Chronobiology of human blood pressure. Medtronic Continuing Medical Education Seminars, 4th ed. Minneapolis: Medtronic Inc.; 1988. 242 pp.

45. Otsuka K., Cornelissen G, Halberg F. Chronomics and Continuous Ambulatory Blood Pressure Monitoring — Vascular Chronomics: From 7-Day/24-Hour to Lifelong Monitoring. Tokyo: Springer Japan, 2016, 870 + lxxv pp. 10.1007/9784-431-54631-3.

46. Halberg F., Cornelissen G., Otsuka K., Siegelova J., Fiser B., Dusek J., Homolka P., Sanchez de la Pena S., Singh R.B., BIOCOS project. Extended consensus on means and need to detect vascular variability disorders (VVDs) and vascular variability syndromes (VVSs). World Heart J 2010; 2 (4) 279-305.

47. Halberg F., Powell D., Otsuka K. et al. Diagnosing vascular variability anomalies, not only MESOR-hypertension. Am J Physiol Heart Circ Physiol 2013; 305: H279-H294.

48. Cornelissen G., Halberg F., Bakken E.E., et al. 100 or 30 years after Janeway or Bartter, Healthwatch helps avoid «flying blind». Biomed & Pharmacother 2004; 58 (Suppl 1) S69-S86.

49. Güllner H.G., Bartter F.C., Halberg F. Timing antihypertensive medication. The Lancet 1979; 314 (issue 8141; 8 Sept): 527.

50. Güllner H.G., Bartter F.C., Halberg F., Delea C. Circadian temperature and blood pressure rhythms guide timed optimization and gauge antimesorhyper-tensive prazosin effects. Chronobiologia 1979; 6: 105.

51. Watanabe Y., Beaty L., Otsuka K., Siegelova J., Cornelissen G. Lessons learned from longitudinal blood pressure monitoring. In: Cornelissen G, Siegelova J, Dobsak P (Eds.) Noninvasive Methods in Cardiology 2017. Masaryk University, Brno, Czech Republic 2017; 149-156.

52. Zaslavskaya R.M. Chronodiagnosis and Chronotherapy of Cardiovascular Diseases, 2nd ed. (English translation). Moscow: Medicina, 1993.

53. Cornelissen G., Zaslavskaya R.M., Kumagai Y., Romanov Y., Halberg F. Chronopharmacologic issues in space. J Clin Pharmacol 1994; 34: 543-551.

54. Cornelissen G., Halberg F., Prikryl P., Dankova E., Siegelova J., Dusek J, International Womb-to-Tomb Chronome Study Group. Prophylactic aspirin treatment: the merits of timing. JAMA 1991; 266: 3128-3129.

55. Raab F.J., Schaffer EM, GuiUaume-Cornelissen G., Halberg F. Interpreting vital sign profiles for maximizing patient safety during dental visits. JADA 1998; 129: 461-469.

56. Bingham C., Arbogast B., Cornelissen Guillaume G., Lee J.K, Halberg F. Inferential statistical methods for estimating and comparing cosinor parameters. Chronobiologia 1982; 9: 397-439.

57. Cornelissen G, Halberg F. Treatment with open eyes: markers--guided chronotheranostics. In: Youan BC (Ed.) Chronopharmaceutics: Science and Technology for Biological Rhythm-Guided Therapy and Prevention of Diseases. Hoboken, NJ: Wiley; 2009. pp. 257-323.

58. Hawkins D.M. Self-starting cusum charts for location and scale. The Statistician 1987; 36: 299-315.

59. Halberg F., Cornelissen G., Katinas G. et al. International BIOCOS Group. Chronobiology's progress: Part II, chronomics for an immediately applicable biomedicine. J Appl Biomed 2006; 4: 73-86.

60. Prikryl P., Cornelissen G., Neubauer J., Prikryl P. Jr., Karpisek Z., Watanabe Y., Otsuka K., Halberg F. Chronobiologically explored effects of telmisartan. Clin Exp Hypertens 2005; 2 & 3: 119-128.

61. Watanabe Y., Halberg F., Otsuka K., Cornelissen G. Toward a personalized chronotherapy of high blood pressure and a circadian overswing. Clin Exp Hypertens 2013; 35 (4) 257-266.

62. Cornelissen G., Beaty L.A., Siegelova J, Watanabe Y., Otsuka K, and Members of the Phoenix Study Group, for the Investigators of the Project on the BIOsphere and the COSMOS (BIOCOS). Comments on the 2018 ESC/ESH Consensus Blood Pressure Guidelines regarding the use of Ambulatory Blood Pressure Monitoring (ABPM). In: Cornelissen G., Siegelova J., Dobsak P. (Eds.) Noninvasive Methods in Cardiology 2018. Masaryk University, Brno, Czech Republic 2018; 15-31.

63. Whelton P.K., Carey R.M., Aronow W.S. et al. 2017 ACC/AHA/AAPA/ABC/ ACPM/AGS/APhA/ASH/ ASPC/NMA/PCNA Guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018; 71 (6) 1269-1324.

64. Verdecchia P., Angeli F., Mazzotta G., Garofoli MM., Ramundo E., Gentile G., Ambrosio G., Reboldi G. Day-night dip and early-morning surge in blood pressure in hypertension: prognostic implications. Hypertension 2012; 60 (1) 34-42.

65. Fagard RH., Thijs L., Staessen J.A. et al. Night-day blood pressure ratio and dipping pattern as predictors of death and cardiovascular events in hypertension. J Hum Hypertens 2009; 23 (10) 645-653.

66. Cornelissen G., Halberg F., Otsuka K., Singh R.B. Separate cardiovascular disease risks: circadian hyper-amplitude-tension (CHAT) and an elevated pulse pressure. World Heart J 2008; 1 (3) 223-232.

67. Kim B.K., Kim Y.M., Lee Y., Lim Y.H., Shin J. A reverse dipping pattern predicts cardiovascular mortality in a clinical cohort. J Korean Med Sci 2013; 28 (10) 1468-1473.

68. Tadic MM., Cuspidi C., Celic V. et al. The prognostic effect ofcircadian blood pressure pattern on long-term cardiovascular outcome is independent of left ventricular remodeling. J Clin Med 2019; 8 (12) 2126.

69. AbdallaMM., Caughey M.C., TannerRM. etal. Associations ofblood pressure dipping patterns with left ventricular mass and left ventricular hypertrophy in blacks: The Jackson Heart Study. J Am Heart Assoc 2017; 6 (4) e004847.

70. Fujiwara T., Hoshide S., Kanegae H., Kario K. Prognostic value of a riser pattern of nighttime blood pressure in very elderly adults of >80 years: A general practice-based prospective SEARCH study. Am J Hypertens 2020; 33 (6): 520-527.

71. Tadic MM., Cuspidi C., Celic V. et al. The prognostic importance ofright ventricular remodeling and the circadian blood pressure pattern on the long-term cardiovascular outcome. J Hypertens 2020; 38 (8) 1525-1530.

72 Gavriilaki M., Anyfanti P, Nikolaidou B. et al. Nighttime dipping status and risk of cardiovascular events in patients with untreated hypertension: A systematic review and meta-analysis. J Clin Hypertens 2020; 22 (11): 1951 — 1959.

73. Jhee J.H, Nam B.Y., Lee C.J. et al. Soluble urokinase-type plasminogen activator receptor, changes of24-hour blood pressure, and progression ofchronic kidney disease. J Am Heart Assoc 2021; 10 (1) e017225.

74. Tan X, Sundstrom J, Lind L, Franzon K., Kilander L, Benedict C. Reverse dipping of systolic blood pressure is associated with increased dementia risk in older men: A longitudinal study over 24 years. Hypertension 2021; 77 (4): 1383-1390.

75. Cuspidi C, Tadic M., Sala C, Carugo S., Mancia G, Grassi G. Reverse dipping and subclinical cardiac organ damage: a meta-analysis of echocardiographic studies. J Hypertens 2021; 39 (8) 1505-1512.

76. Di Raimondo D, Musiari G, Casuccio A. et al. Cardiac remodeling according to the nocturnal fall of blood pressure in hypertensive subjects: The Whole Assessment of Cardiac Abnormalities in Non-Dipper Subjects with Arterial Hypertension (Wacanda) Study. J Pers Med 2021; 11 (12) 1371.

77. Matteucci E, Consani C, Masoni M..C, Giampietro O. Circadian blood pressure variability in type 1 diabetes subjects and their nondiabetic siblings — influence of erythrocyte electron transfer. Cardiovascular Diabetology 2010; 9: 61.

78. Matteucci E, Delia Bartola L., Giampietro O. Differences in circadian time structure of diastolic blood pressure between diabetes mellitus and essential hypertension. Diabetology & metabolic syndrome 2012; 4 (1) 51.

79. Naliano S, Uchida K, Kigoshi T., Azukizawa S., Iwasaki R., Kanelio M, Morimoto S. Circadian rhythm ofblood pressure in normotensive NIDDM subjects. Its relationship to microvascular complications. Diabetes Care 1991; 14 (8): 707-711.

80. Naliano S, Fukuda M, Hotta F. et al. Reversed circadian blood pressure rhythm is associated with occurrences of both fatal and nonfatal vascular events in NIDDM subjects. Diabetes 1998; 47 (9) 1501-1506.

81. Nallano S, Ogihara M, Tamura C. et al. Reversed circadian blood pressure rhythm independently predicts endstage renal failure in non-insulin-dependent diabetes mellitus subjects. Journal of Diabetes & its Complications 1999; 13 (4) 224-231.

82. Kario K, Pickering T. G, Matsuo T., Hoshide S., Schwartz J.E., Shimada K. Stroke prognosis and abnormal nocturnal blood pressure falls in older hypertensives. Hypertension 2001; 38 (4) 852-857.

83. Kario K, Shimada K, Pickering T.G. Abnormal nocturnal blood pressure falls in elderly hypertension: clinical significance and determinants. Journal of Cardiovascular Pharmacology 2003; 41 (Suppl 1) S61-S66.

84. Kario K, Shimda K Risers and extreme-dippers ofnocturnal blood pressure in hypertension: antihypertensive strategy for nocturnal blood pressure. Clinical & Experimental Hypertension (New York) 2004; 26 (2) 177-189.

85. Maeda K, Yasunari K, Watanabe T., Nallamura M. Oxidative stress by peripheral blood mononuclear cells is increased in hypertensives with an extreme-dipper pattern and/or morning surge in blood pressure. Hypertension Research — Clinical & Experimental 2005; 28 (9) 755-761.

86. Hamada T., Murata T., Narita K. et al. The clinical significance of abnormal diurnal blood pressure variation in healthy late middle-aged and older adults. Blood Pressure 2008; 17 (3): 134-140.

87. Ishikawa J, Shimizu M, Hoshide S. et al. Cardiovascular risks of dipping status and chronic kidney disease in elderly Japanese hypertensive patients. Journal of Clinical Hypertension 2008; 10 (10) 787-794.

88. Palatini P, Vwdecchia P, Beilin L.J. et al. Association ofextreme nocturnal dipping with cardiovascular events strongly depends on age. Hypertension 2020; 75 (2) 324-330.

89. Cardoso C.R.L., Salles G.F. Associations of the nocturnal blood pressure fall and morning surge with cardiovascular events and mortality in individuals with resistant hypertension. Journal ofHypertension 2021; 39 (6) 1177-1187.

90. Cohen D.L., Townsend R.R. Is it morning blood pressure surge or extreme nocturnal dipping that accounts for the increased stroke risk in the morning waking hours? Journal of Clinical Hypertension 2014; 16 (12) 847.

91. Gorcan A, Argan O, Avci E. et al. A new risk factor for predicting stroke in patients with atrial fibrillation: morning blood pressure surge. Blood Pressure Monitoring 2023; 28 (2) 73-78.

92. Zhang H, Cui Y, Zhao Y. et al. Association of circadian rhythm of blood pressure and cerebral small vessel disease in community-based elderly population. Journals of Gerontology Series A-Biological Sciences & Medical Sciences 2019; 74 (8) 1322-1330.

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

93. Otsuka K, Cornelissen G, Halberg F. Predictive value ofblood pressure dipping and swinging with regard to vascular disease risk. Clinical Drug Investigation 1996; 11: 20-31.

94. Otsuka K, Cornelissen G, Halberg F., Oehlert G. Excessive circadian amplitude of blood pressure increases risk of ischemic stroke and nephropathy. J Medical Engineering & Technology 1997; 21: 23-30.

95. Mackenzie I.S, Rogers A, Poulter N.R. et al. TIME Study Group. Cardiovascular outcomes in adults with hypertension with evening versus morning dosing of usual antihypertensives in the UK (TIME study) a prospective, randomised, open-label, blinded-endpoint clinical trial. The Lancet 2022; 400: 1417-1425.

96. Bowles N.P., Thosar S.S., Herzig M.X., Shea S.A. Chronotherapy for Hypertension. Curr Hypertens Rep 2018; 20 (11) 97.

97. Wang C., Ye Y., Liu C, Zhou Y., Lv L., Cheng C., Li S, Lou T., Liu X. Evening versus morning dosing regimen drug therapy for chronic kidney disease patients with hypertension in blood pressure patterns: a systematic review and meta-analysis. Intern Med J 2017; 47 (8) 900-906.

98. Stranges P.M., Drew A.M., Rafferty P., Shuster J.E., Brooks A.D. Treatment of hypertension with chronotherapy: is it time of drug administration? Ann Pharmacother 2015; 49 (3) 323-334.

99. Chiriaco M., Sacchetta L., Forotti G. et al. Prognostic value of 24-hour ambulatory blood pressure patterns in diabetes: A 21-year longitudinal study. Diabetes, Obesity & Metabolism 2022; 24 (11) 2127-2137.

100. WangC., YeZ., LiY. etal. Prognostic value ofreverse dipper blood pressure pattern in chronic kidney disease patients not undergoing dialysis: Prospective cohort study. Scientific Reports 2016; 6: 34932.

101. Melgarejo J.D., Lee J.H., Petitto M. et al. Glaucomatous Optic Neuropathy Associated with Nocturnal Dip in Blood Pressure: Findings from the Maracaibo Aging Study. Ophthalmology 2018; 125 (6) 807-814.

102. Kario K., Schwartz J.E., Pickering T.G. Ambulatory physical activity as a determinant of diurnal blood pressure variation. Hypertension 1999; 34 (4 Pt 1): 685-691.

103. Zhao S., Fu S., Ren J, Luo L. Poor sleep is responsible for the impaired nocturnal blood pressure dipping in elderly hypertensive: A cross-sectional study of elderly. Clinical & Experimental Hypertension (New York) 2018; 40 (6): 582-588.

104. Otsuka K., Watanabe H., Cornelissen G., Shinoda M., Uezono K., Kawasaki T., Halberg F. Gender, age and circadian blood pressure variation of apparently healthy rural vs. metropolitan Japanese. Chronobiologia 1990; 17: 253-265.

105. Salles G.F., Reboldi G., Fagard R.H. etal. Prognostic effect ofthe nocturnal blood pressure fall in hypertensive patients: The Ambulatory Blood Pressure Collaboration in Patients With Hypertension (ABC-H) Meta--Analysis. Hypertension 2016; 67 (4) 693-700.

106. Cuspidi C., Meani S., Salerno M. et al. Reproducibility of nocturnal blood pressure fall in early phases of untreated essential hypertension: a prospective observational study. Journal ofHuman Hypertension 2004; 18 (7) 503-509.

107. Sackett Lundeen L., Otsuka K., Havelkova A. et al. From self-surveillance in schools and monitoring in the experimental laboratory to vascular variability disorders. World Heart Journal 2021; 13 (1): 25-27.

108. Stergiou G., Brunstr^m M., MacDonald T. etal. Bedtime dosing ofantihyperten-sive medications: systematic review and consensus statement: International Society of Hypertension position paper endorsed by World Hypertension League and European Society of Hypertension. J Hypertens 2022; 40: 1847-1858.

109. Kakaletsis N., Ntaios G., Milionis H., Karagiannaki A. etal. Midday dipping and circadian blood pressure patterns in acute ischemic stroke. Journal of Clinical Medicine 2023; 12 (14) 4816.

110. Watanabe M., Hida A., Kitamura S. etal. Rhythmic expression ofcircadian clock genes in human leukocytes and beard hair follicle cells. Biochem Biophys Res Commun 2012; 425 (4) 902-907.

111. Lewy A.J., Cutler N.L., Sack R.L. The endogenous melatonin profile as a marker for circadian phase position. J Biol Rhythms 1999; 14 (3) 227-236.

112. Horne J.A., Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol 1976; 4 (2) 97-110.

113. Roenneberg T., Wirz-Justice A., Martha Merrow M. Life between clocks: daily temporal patterns of human chronotypes. Journal of biological rhythms 2003; 18 (1) 80-90.

114. Baidoo V.A., Knutson K. Associations between circadian disruption and car-diometabolic disease risk: A review. Obesity 2023; 31 (3) 615-624.

115. Gupta N.J. Lifestyle and Circadian Health: Where the Challenges Lie? Nutr Metab Insights 2019; 12: 1178638819869024.

116. Culver M.N., McMillan N.K., Cross B.L. et al. Sleep duration irregularity is associated with elevated blood pressure in young adults. Chronobiology International 2022; 39 (10) 1320-1328.

117. Gamboa Madeira S., Reis C., Paiva T. et al. Social jetlag, a novel predictor for high cardiovascular risk in blue-collar workers following permanent atypical work schedules. Journal of Sleep Research 2021; 30 (6): e13380.

118. Hatori M., Hirota T. Cell-based phenotypic screens to discover circadian clock-modulating compounds. Methods in Molecular Biology 2022; 2482: 95-104.

119. Rasmussen E.S., Takahashi J.S., Green C.B. Time to target the circadian clock for drug discovery. Trends Biochem Sci 2022; 47 (9): 745-758.

120. Cornelissen G., Hirota T. Quo vadis. In: Chronobiology and Chronomedicine: From Molecular and Cellular Mechanisms to Whole Body Interdigitating Networks. Cornelissen G, Hirota Y (Eds.) Royal Society of Chemistry 2023; in press.

121. Tamura K.., Kohno L, Saito Y., ... Halberg F. Antihypertensive individualized therapeutic strategy. Difesa Sociale 1991; 6: 109-124.

122 Cornelissen G., DelcourtA., ToussaintG., ... HalbergF. Opportunity ofdetecting pre-hypertension: worldwide data on blood pressure overswinging. Biomed & Pharmacother 2005; 59 (Suppl 1): S152-S157.

Сведения об авторе (для переписки)

Жермейн Корнеллисен — доктор наук,, профессор интегративной биологии и физиологии, директор Центра хронобиологии им. Ф. Халберга, Университет Миннесоты, Миннесота, Миннеаполис, США Germaine Cornelissen — PhD, Professor, Integrative Biology and Physiology Director, Halberg Chronobiology Center, University of Minnesota, Minneapolis, MN, USA. Email. corne001@umn.edu

Website. http://halbergchronobiologycenter.umn.edu/Germaine Cornelissen

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