Literature DB >> 27829954

The Effects of Ramelteon on Glucose Metabolism and Sleep Quality in Type 2 Diabetic Patients With Insomnia: A Pilot Prospective Randomized Controlled Trial.

Tetsuji Tsunoda1, Masayo Yamada2, Tomoaki Akiyama2, Taichi Minami2, Taishi Yoshii3, Yoshinobu Kondo4, Shinobu Satoh5, Yasuo Terauchi3.   

Abstract

BACKGROUND: Insomnia is associated with the onset and development of diabetes. Melatonin affects sleep quality and glucose metabolism in diabetic patients with insomnia. We administered ramelteon, an agonist of melatonin, to type 2 diabetic patients and investigated its effects on glucose metabolism and insomnia.
METHODS: This multicenter, prospective, randomized, and observational pilot study was performed between April 2014 and April 2015 at three institutes in Japan. Patients were prescribed ramelteon 8 mg/day for 3 months (first period). And patients were divided at random into the continuation group that continued taking ramelteon and the discontinuation group that discontinued taking ramelteon for 3 additional months (second period). The primary endpoint was change in glycated hemoglobin (HbA1c) level. Secondary endpoints were changes in global Pittsburgh sleep questionnaire index (PSQI) score and other glucose metabolism makers.
RESULTS: We enrolled 42 patients, and 32 patients completed the first period. Their mean HbA1c was 6.7%, and global PSQI score was 8.1 on average. HbA1c level did not change but global PSQI score improved from 8.1 to 7.2 by ramelteon (P = 0.030). Thirty-one patients completed the second period. HbA1c level did not change in the continuation group, but it increased from 6.7% to 6.9% (P = 0.003) in the discontinuation group. Global PSQI score did not change in each group. There was no rebound insomnia.
CONCLUSION: Treatment with ramelteon did not change the HbA1c level but improved sleep quality in type 2 diabetic patients with insomnia. Discontinuation of ramelteon slightly increased the HbA1c level and did not worsen sleep quality.

Entities:  

Keywords:  Insomnia ramelteon; Pittsburgh sleep questionnaire index; Short form 36; Type 2 diabetes mellitus

Year:  2016        PMID: 27829954      PMCID: PMC5087628          DOI: 10.14740/jocmr2754w

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


Introduction

Insomnia is frequently observed in patients with diabetes [1]. Insomnia leads to insulin resistance and promotes obesity because insomnia impairs daytime activities of daily living (ADL), and decreases leptin secretion while increasing ghrelin secretion [2, 3]. Insomnia is also a cause of oxidative stress [4]. Insomnia with short sleep duration is reportedly associated with increased odds of diabetes [5]. Therefore, insomnia is associated with diabetes. Besides, the long-term persistence of changes in the living environment and aging lead to decreased melatonin secretion [6-8]. Although a main role of the neurohormone melatonin is its participation in the adjustment of sleep, a decrease in melatonin is a risk factor for the onset of diabetes [9]. Recently, various research findings regarding the effects of melatonin on glucose metabolism have been reported. Namely, insulin resistance has been observed in pinealectomized rats [10]. Blood melatonin level was found to be lower in patients with diabetes [11]. Furthermore, melatonin improved insulin resistance in type 2 diabetic rats and glycated hemoglobin (HbA1c) levels in type 2 diabetic patients [12-14]. In Japan, the Pharmaceutical Affairs Law has banned the sale of melatonin itself, including supplement forms. However, ramelteon, a melatonin agonist, was approved for patients with insomnia in 2010 in Japan [15]. Ramelteon is currently under investigation as an alternative to conventional gamma-aminobutyric acid receptor A (GABAA) activators. Ramelteon has a 5.8-fold higher affinity for melatonin MT1 receptor and a 3.4-fold higher affinity for melatonin MT2 receptor compared with melatonin [16]. Although there have been reports on the effect of melatonin on glucose metabolism [12, 17, 18], that of ramelteon has not been discussed. In addition, the efficacy and safety of ramelteon in patients with type 2 diabetes are yet to be researched. These conditions inspired us to investigate the effects of ramelteon in type 2 diabetic patients with insomnia.

Materials and Methods

Study design

This pilot study was performed as a multicenter, prospective, randomized, and observational study between April 2014 and April 2015 at three institutes in Japan: Yokohama Sakae Kyosai Hospital, Chigasaki Municipal Hospital, and Yokohama City University Hospital. The study was approved by the ethics committee of each institute. This study was registered with the UMIN Clinical Trial Registry (UMIN 000010074).

Subjects

Type 2 diabetic patients with untreated chronic insomnia who regularly visited the hospital were assessed for eligibility for this study. Patients were included if their sleeplessness state satisfied the criteria of the International Classification of Sleep Disorders (second edition). The exclusion criteria were: 1) poor glycemic control (HbA1c ≥ 8.0%), 2) change in the HbA1c level ≥ 0.5% in the past 3 months, 3) hepatic failure, 4) treatment for depression, 5) age < 20 years, 6) history of sleep medication, 7) shift work, 8) treatment for sleep apnea syndrome, and 9) physician’s designation as inappropriate for inclusion. As no previous trials have reported the effects of ramelteon on glucose metabolism and sleep quality, we could not calculate the sample size. Most type 2 diabetic patients with insomnia who regularly visited the hospital were already using a sleep medication, and we expected the target sample size of 50 subjects.

Methods

We analyzed the effect of administration and discontinuation of ramelteon. All of the patients who signed the informed consent were prescribed 8 mg of ramelteon to be taken every night for 3 months. And then patients were divided, by random permuted blocks, into the continuation group that took ramelteon and the discontinuation group that discontinued taking ramelteon for 3 additional months. We defined the first 3 months as the first period and the second 3 months as the second period. During the first period, there was no change or addition of drugs for the treatment of diabetes. In case of exacerbation of insomnia in the discontinuation group, patients would receive a sleep medication, including ramelteon, and be excluded from the analysis of data. Blood samples and questionnaires were obtained three times, before and after each 3-month period. The primary endpoint was changes in HbA1c level at the end of the each administration period. The secondary endpoints were as follows: changes of other glucose metabolism markers including fasting plasma glucose (FPG), immunoreactive insulin (IRI), serum C-reactive peptide (s-CPR), lipid metabolism including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), hepatic function parameters, inflammation markers including ferritin, high-sensitivity C-reactive protein (hs-CRP), sleep quality, and health-related quality of life (QOL). Sleep quality was assessed using the Pittsburgh sleep questionnaire index (PSQI). Health-related QOL was assessed using short form 36 (SF-36). Safety was assessed on the basis of all and blood parameters.

Biochemical measurements

Blood samples were obtained after overnight fasting. HbA1c was measured by HPLC (Adams Alc HA-8160; Arkray Inc., Kyoto, Japan) and plasma glucose was measured using the glucose oxidation method (chemical reagent and Glucose AUTO, and STAT GA-1160 analyzer; Arkray Inc.). TC, LDL-C, HDL-C, and TG were measured by standard enzymatic methods (Kyowa Medex, Tokyo, Japan). Glycated albumin (GA), IRI, s-CPR, ferritin, and hs-CRP were measured by SRL Central Laboratory Testing for Clinical Trials (SRL, Inc., Tokyo, Japan). Insulin resistance was estimated by the modified homeostatic model of assessment of insulin resistance (HOMA-IR) and the quantitative insulin sensitivity check index (QUICKI). Beta cell function was estimated by the CPR index. These indexes were calculated according to the following formula [19-22]: HOMA-IR = IRI (µU/mL) × FPG (mg/dL)/405. QUICKI = 1/(log fasting insulin (μU/mL) + log fasting glucose (mg/dL)). CPR index = fasting CPR (ng/mL)/FPG (mg/dL) × 100. We excluded patients with an FPG > 140 mg/dL to calculate the HOMA-IR. We defined insulin resistance as HOMA-IR ≥ 2.5 and QUICKI ≤ 0.337.

PSQI

Sleep quality was measured using PSQI. PSQI is a self-rated questionnaire containing seven components: sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, use of sleep medication, and daytime dysfunction [23]. Each component is scored on a range of 0 - 3, for a possible total score range of 0 - 21 (global PSQI score). A higher global PSQI score indicates poorer sleep quality. A global score of > 5 is indicative of poor sleep quality. As this study was to assess the effect of ramelteon intervention in type 2 diabetic patients with insomnia who did not use any sleep medication, we excluded question component 6: use of sleep medication of the PSQI [24, 25].

SF-36

Subjective health-related QOL was measured using SF-36. SF-36 is a self-rated questionnaire containing 36 items that measure eight health concepts. These health concepts include physical functioning, role functioning-physical, bodily pain, general health perceptions, vitality, social role functioning, role functioning-emotional, and mental health [26, 27]. Three summary scores, i.e., physical component summary (PCS), mental component summary (MCS), and role/social component summary (RCS), were calculated from the scores of these eight components using a designated calculation program [28]. Each component has a possible score range of 0 - 100 points, with a median value of 50 points.

Statistical analysis

Statistical analyses were performed using SPSS version 11.0.1 J (SPSS Inc., Armonk, NY, USA). Results were expressed as mean ± SD. Differences in continuous variables within each group were compared using the paired t-test when the variable showed a normal distribution, or Wilcoxonsigned-rank test when it did not. Differences in continuous variables between the two groups were compared using the unpaired t-test and two-way analysis of variance (ANOVA) when the variable showed a normal distribution or Mann-Whitney’s U test when it did not. Categorical variables were compared between the two groups using the Chi-square test. The relations between values at baseline and those at the end of each study period were evaluated using Pearson’s rank correlation when the variable showed a normal distribution or Spearman’s rank correlation when it did not. The level of statistical significance was set at P < 0.05.

Results

Details of enrolled subjects are shown in Figure 1. Of the 42 patients enrolled, 31 patients completed all control visits during the study. Eleven patients discontinued the study because of the following reasons: two patients suffered lightheadedness and two patients suffered daytime sleepiness when taking ramelteon, both of which subsided after discontinuation of ramelteon, two patients withdrew their informed consent before the start of the administration of ramelteon, one patient was diagnosed with breast cancer and another was diagnosed with prostate cancer soon after giving their informed consent, one patient was diagnosed with depression after registration, and one patient was excluded due to poor treatment compliance. In continuation group, one patient had a medical history of paroxysmal atrial fibrillation and withdrew from the study because of cardiogenic cerebral infarction 4 months later. Therefore, we analyzed the effect of ramelteon in 32 patients in the first period and 31 patients in the second period.
Figure 1

Diagram of patient flow.

Diagram of patient flow. The patients’ baseline characteristics are shown in Table 1. Seventeen of the 32 patients were men, with a mean age of 68.9 years old, body mass index (BMI) of 25.7 kg/m2, diabetes duration of 9.8 years, and mean HbA1c of 6.7%. Four patients were not treated with hypoglycemic agents. Sulfonylureas, biguanides, thiazolidines, incretin-based drugs and insulin were used by 11, 16, five, 16 and three patients, respectively (some of them used more than one drug). Eighteen patients used antihypertensive agents, and 20 patients used lipid-lowering drugs.
Table 1

Baseline Characteristics

Age (years)68.9 ± 8.1
Gender (male/female)17/15
Height (cm)162.3 ± 9.3
Body weight (kg)68.1 ± 14.5
BMI (kg/m2)25.7 ± 4.3
Diabetes duration (years)9.8 ± 3.5
HbA1c (%)6.7 ± 0.4
Medications
  Anti-diabetes (%)28 (88)
    Sulfonylureas (%)11 (34)
    Biguanides (%)16 (50)
    Thiazolidines (%)5 (16)
    Incretin-based drugs (%)16 (50)
    Insulin (%)3 (9)
  Anti-hypertension (%)18 (56)
    Angiotensin II receptor blockers (%)15 (47)
    Calcium channel blockers (%)13 (41)
    β-blockers (%)5 (16)
  Anti-dyslipidemia (%)20 (63)
    Statins (%)18 (56)
    Fibrates (%)2 (6)
    Ethyl icosapentate (%)3 (9)

Data are expressed as the mean ± SD or number (%). BMI: body mass index.

Data are expressed as the mean ± SD or number (%). BMI: body mass index. The changes of all clinical parameters in the first period are shown in Table 2. No changes were observed in HbA1c. In addition, no changes were observed in GA, FPG, IRI, s-CPR, CPR index, HOMA-IR, and QUICKI. No factor was found to correlate with the change in HbA1c after ramelteon treatment. Moreover, although we performed subgroup analyses using the baseline values or the percentage change of HbA1c, CPR index, HOMA-IR, QUICKI, and PSQI, no effect of ramelteon on the evaluated parameters was observed.
Table 2

Effects of Ramelteon in the First Period

Baseline3 monthsP value
Gender (male/female)17/15
Body weight (kg)68.1 ± 14.568.4 ± 14.4
BMI (kg/m2)25.7 ± 4.325.8 ± 4.3
Systolic blood pressure (mm Hg)138 ± 21135 ± 20
Diastolic blood pressure (mm Hg)79 ± 1181 ± 11
HbA1c (%)6.7 ± 0.46.7 ± 0.5
GA (%)17.1 ± 2.617.2 ± 2.4
FPG (mg/dL)120 ± 18125 ± 23
IRI (μU/mL)8.01 ± 6.808.01 ± 7.30
s-CPR (ng/mL)2.19 ± 1.232.12 ± 1.16
HOMA-IR2.08 ± 1.591.92 ± 1.40
QUICKI0.35 ± 0.040.35 ± 0.04
CPR index1.84 ± 1.011.72 ± 0.96
Total cholesterol (mg/dL)177 ± 33171 ± 29
LDL-C (mg/dL)105 ± 27100 ± 240.048
HDL-C (mg/dL)60 ± 1758 ± 15
LDL-C/HDL-C1.9 ± 0.61.8 ± 0.6
Triglyceride (mg/dL)131 ± 76117 ± 63
Non-HDL-C (mg/dL)117 ± 29112 ± 27
Cre (mg/dL)0.82 ± 0.220.83 ± 0.23
eGFR (mL/min)65.4 ± 13.465.6 ± 14.0
UAE (mg/g.Cre)28.6 ± 49.642.8 ± 87.3
AST (U/L)24 ± 825 ± 9
ALT (U/L)25 ± 1325 ± 9
γGTP (U/L)30 ± 1630 ± 16
Ferritin (ng/mL)140 ± 149127 ± 102
hs-CRP (ng/mL)1,060 ± 2,3581,383 ± 2,569
PSQI (0 - 18)8.1 ± 4.17.2 ± 2.80.030
  C1 (0 - 3)1.6 ± 0.81.3 ± 0.70.010
  C2 (0 - 3)1.7 ± 2.11.2 ± 1.80.040
  C3 (0 - 3)1.8 ± 1.01.6 ± 0.9
  C4 (0 - 3)0.8 ± 1.00.8 ± 1.0
  C5 (0 - 3)1.0 ± 0.40.9 ± 0.3
  C7 (0 - 3)1.5 ± 1.11.5 ± 0.8
    Sleep latency (min)23.6 ± 25.718.8 ± 17.60.039
    Total sleep time (h)6.1 ± 2.46.2 ± 2.1
SF-36
  PCS (0 - 100)47.3 ± 13.550.1 ± 12.3
  MCS (0 - 100)54.1 ± 9.753.3 ± 8.7
  RCS (0 - 100)36.7 ± 10.538.5 ± 8.6

Data are expressed as the mean ± SD or number (%). BMI: body mass index; GA: glycated albumin; FPG: fasting plasma glucose; IRI: immunoreactive insulin; s-CPR: serum C-peptide immunoreactivity; HOMA-IR: homeostatic model of assessment of insulin resistance; QUICKI: quantitative insulin sensitivity check index; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; eGFR: estimated glomerular filtration rate; UAE: urinary albumin excretion; hs-CRP: high-sensitivity C-reactive protein; PSQI: Pittsburgh sleep questionnaire index; SF-36: short form 36; PCS: physical component summary; MCS: mental component summary; RCS: role/social component summary.

Data are expressed as the mean ± SD or number (%). BMI: body mass index; GA: glycated albumin; FPG: fasting plasma glucose; IRI: immunoreactive insulin; s-CPR: serum C-peptide immunoreactivity; HOMA-IR: homeostatic model of assessment of insulin resistance; QUICKI: quantitative insulin sensitivity check index; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; eGFR: estimated glomerular filtration rate; UAE: urinary albumin excretion; hs-CRP: high-sensitivity C-reactive protein; PSQI: Pittsburgh sleep questionnaire index; SF-36: short form 36; PCS: physical component summary; MCS: mental component summary; RCS: role/social component summary. Regarding sleep quality, the global PSQI score improved from 8.1 to 7.2 points (P = 0.030). The scores of sleep quality (C1) and sleep latency (C2) among PSQI components also improved significantly from 1.6 to 1.3 points (P = 0.010) and from 1.7 to 1.2 points (P = 0.010), respectively. In fact, time of sleep latency decreased from 23.6 to 18.8 min (P = 0.039). A correlation was observed between the baseline global PSQI score and the changing rate of this score (R = -0.588, P = 0.001 in Fig. 2); specifically, a greater improvement in sleep quality was observed in patients with poor sleep quality. On the other hand, no changes in MCS, PCS, and RCS components of the SF-36 were observed.
Figure 2

The correlation between baseline global PSQI and changing rate of global PSQI in the first period.

The correlation between baseline global PSQI and changing rate of global PSQI in the first period. Regarding lipid metabolism, only the LDL-C level decreased slightly from 105 to 100 mg/dL (P = 0.048). No changes were observed in hepatic function parameters, inflammation markers or physiological findings, including blood pressure, body weight, and BMI. The values of all clinical parameters obtained in the second period are shown in Table 3. At the end of the first 3 months, no differences were observed in their medications, physiological findings, glucose metabolism, lipid metabolism, hepatic function, and inflammation marker levels in each group. Similarly, no differences were observed in the scores of global PSQI and PSQI components and SF-36 components.
Table 3

Effects of Continuating or Discontinuating Ramelteon in the Second Period

Continuation group
Discontinuation group
Inter group in 6 months (P value)
3 months6 monthsP3 months6 monthsP
Age68.7 ± 8.268.8 ± 8.3
Gender (M/F)7/89/7
Body weight (kg)69.1 ± 14.669.5 ± 14.667.9 ± 15.067.9 ± 15.0
BMI (kg/m2)26.1 ± 4.726.3 ± 4.825.6 ± 4.125.6 ± 4.2
SBP (mm Hg)132 ± 19131 ± 15138 ± 22135 ± 24
DBP (mm Hg)80 ± 1177 ± 1482 ± 1279 ± 16
HbA1c (%)6.8 ± 0.66.8 ± 0.56.7 ± 0.56.9 ± 0.60.0030.047
GA (%)17.1 ± 2.317.3 ± 2.917.1 ± 2.717.6 ± 2.70.027
FPG (mg/dL)126 ± 21124 ± 16125 ± 25128 ± 26
IRI (μU/mL)9.43 ± 9.5211.30 ± 12.306.9 ± 4.616.07 ± 3.06
sCPR (ng/dL)2.41 ± 1.372.78 ± 1.911.88 ± 0.931.62 ± 0.56
HOMA-IR1.77 ± 1.232.29 ± 2.412.14 ± 1.801.87 ± 0.76
QUICKI0.35 ± 0.050.34 ± 0.040.35 ± 0.030.36 ± 0.03
CPR index1.85 ± 0.842.19 ± 1.351.63 ± 1.101.31 ± 0.5
TC (mg/dL)171 ± 30175 ± 35173 ± 28177 ± 30
LDL-C (mg/dL)105 ± 26106 ± 3198 ± 20104 ± 23
HDL-C (mg/dL)55 ± 1558 ± 1761 ± 1461 ± 14
LDL-C/HDL-C2.0 ± 0.61.9 ± 0.71.7 ± 0.51.8 ± 0.4
TG (mg/dL)129 ± 65127 ± 59109 ± 62121 ± 63
Non-HDL-C (mg/dL)116 ± 28117 ± 31112 ± 23116 ± 20
Cre (mg/dL)0.89 ± 0.290.87 ± 0.250.77 ± 0.140.75 ± 0.16
eGFR (mL/min)61.3 ± 18.161.8 ± 17.568.7 ± 7.671.3 ± 9.7
UAE (mg/g.Cre)39.6 ± 70.132.7 ± 41.447.6 ± 107.635.8 ± 51.7
AST (U/L)26 ± 1124 ± 723 ± 724 ± 5
ALT (U/L)26 ± 825 ± 924 ± 1025 ± 9
γGTP (U/L)32 ± 1432 ± 1728 ± 1728 ± 17
Ferritin (ng/mL)161 ± 111175 ± 121107 ± 87105 ± 96
hs-CRP (ng/mL)2,071 ± 3,6281,641 ± 3,957766 ± 733627 ± 648
PSQI (0 - 18)7.5 ± 3.47.2 ± 4.07.2 ± 2.36.5 ± 3.2
  C1 (0 - 3)1.1 ± 0.51.1 ± 0.71.4 ± 0.81.3 ± 1.0
  C2 (0 - 3)1.4 ± 1.81.8 ± 2.01.0 ± 1.80.8 ± 1.5
    Sleep latency20.9 ± 20.027.6 ± 27.415.9 ± 15.615.3 ± 12.7
  C3 (0 - 3)1.6 ± 0.71.5 ± 1.11.7 ± 1.01.6 ± 1.0
  C4 (0 - 3)1.0 ± 0.90.7 ± 0.80.8 ± 1.10.7 ± 0.9
  C5 (0 - 3)1.0 ± 0.40.9 ± 0.50.9 ± 0.30.9 ± 0.3
  C7 (0 - 3)1.5 ± 1.01.4 ± 0.91.4 ± 0.61.4 ± 0.7
SF-36
  PCS (0 - 100)52.9 ± 9.754.0 ± 9.849.6 ± 13.348.6 ± 13.3
  MCS (0 - 100)52.4 ± 9.053.2 ± 7.753.5 ± 9.753.8 ± 10.8
  RCS (0 - 100)38.3 ± 7.239.5 ± 8.637.6 ± 10.138.5 ± 10.5

Data are expressed as the mean ± SD or number (%). BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; GA: glycated albumin; FPG: fasting plasma glucose; IRI: immunoreactive insulin; s-CPR: serum C-peptide immunoreactivity; HOMA-IR: homeostatic model of assessment of insulin resistance; QUICKI: quantitative insulin sensitivity check index; TC: total cholesterol; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; TG: triglyceride; eGFR: estimated glomerular filtration rate; UAE: urinary albumin excretion; hs-CRP: high-sensitivity C-reactive protein; PSQI: Pittsburgh sleep questionnaire index; SF-36: short form 36; PCS: physical component summary; MCS: mental component summary; RCS: role/social component summary.

Data are expressed as the mean ± SD or number (%). BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; GA: glycated albumin; FPG: fasting plasma glucose; IRI: immunoreactive insulin; s-CPR: serum C-peptide immunoreactivity; HOMA-IR: homeostatic model of assessment of insulin resistance; QUICKI: quantitative insulin sensitivity check index; TC: total cholesterol; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; TG: triglyceride; eGFR: estimated glomerular filtration rate; UAE: urinary albumin excretion; hs-CRP: high-sensitivity C-reactive protein; PSQI: Pittsburgh sleep questionnaire index; SF-36: short form 36; PCS: physical component summary; MCS: mental component summary; RCS: role/social component summary. The level of HbA1c remained at 6.8% in the continuation group (P = 0.702), whereas it increased from 6.7% to 6.9% in the discontinuation group (P = 0.003). There was slight difference in change of the HbA1c level by two-way ANOVA between the continuation group and the discontinuation group (P = 0.047). Similarly, the level of GA almost did not change in the continuation group (17.1-17.3%; P = 0.672) and it increased from 17.1% to 17.6% in the discontinuation group (P = 0.027). But, there was no difference in change of the GA level by two-way ANOVA between the continuation group and the discontinuation group (P = 0.539). No differences were observed in other glucose parameters. Regarding sleep quality, no change in the global PSQI score was observed in continuation and discontinuation groups during the second period in each group (P = 0.69 and P = 0.32, respectively). Similarly, no changes were observed in the PSQI components and the score of any SF-36 component. There were no rebound insomnia due to discontinuation of ramelteon, and none of the patients required sleep medication including ramelteon. No differences were observed in physiological findings, lipid metabolism, hepatic function, and inflammation marker levels.

Discussion

This is the first study to investigate the effect of ramelteon on glucose metabolism and sleep quality in type 2 diabetic patients with untreated insomnia.

Effect on glucose metabolism

The primary objective of this study was to investigate the effect of ramelteon on glucose metabolism. In this study, taking ramelteon for 3 or 6 months did not change the level of HbA1c, but discontinuing taking ramelteon for 3 months increased the level of HbA1c from 6.7% to 6.9%. Ramelteon is an agonist of melatonin. The mechanisms of action of melatonin with respect to glucose metabolism have been investigated in various basic studies. As a result, it has been shown that melatonin reduces both blood glucose levels and insulin secretion. Melatonin induces GLUT-4 expression in skeletal muscles through an IRS-1 or PI-3 kinase-mediated pathway and enhances glucose transportation [29, 30]. Melatonin binds to MT1 and MT2 receptors on pancreatic β cells, and reduces cAMP and cGMP levels, respectively [17], thereby inhibiting insulin secretion. In diabetic rats, it was also shown that melatonin improves insulin resistance by inhibiting inflammatory cytokine production and oxidative stress and reducing the level of free fatty acids [12, 31]. In addition to those basic studies, it has been reported that melatonin improves glucose metabolism in patients with type 2 diabetes. Hussain et al observed a decrease of HbA1c from 7.63% to 7.13% in patients after 3 months on high dose of melatonin [13]. Besides, Garfinkel et al reported a decrease of HbA1c from 9.13% to 8.47% in patients who took prolonged-release melatonin for 5 months [14]. Regarding the effect of a sleep intervention on glucose metabolism, it was reported that treatment with 5 - 10 mg of zolpidem for 3 months significantly improved the HbA1c level by 0.4% from 6.5% in 14 Japanese patients with type 2 diabetes complicated by insomnia [32]. Sleep improvement of glucose metabolism might be mediated by sympathetic nerve’s activity. The level of HbA1c was not changed by ramelteon; however, the level of HbA1c increased after discontinuation of ramelteon. The level of HbA1c in patients with type 2 diabetes increases during the natural course of the disease or due to seasonal change even if for a short term [33-38]. Although we could not set a placebo group, the increase of HbA1c in the discontinuation group was possibly the result of the natural course of type 2 diabetes or of seasonal change. There has been no previous report on the potential effects of ramelteon on glucose metabolism. The subjects in two previous reports about melatonin were administered either a high dose of melatonin (10 mg) or prolonged-release melatonin with a half-life of 8 h [13, 14]. The mean HbA1c level attained in these studies was 7.63% and 9.13%, respectively and with poor glycemic control. In contrast, ramelteon is a melatonin receptor agonist, not melatonin itself, and the half-life of ramelteon is as short as 1 h [39]. Patients in this study had a relatively stable glycemic control with a mean HbA1c level of 6.7%. We excluded patients with an HbA1c level of ≥ 8.0% indicative of poor glycemic control from this study because they had to receive treatment for diabetes prior to a sleep intervention. Therefore, differences in the drugs dosages and half-lives and glycemic control of the study population at baseline might have contributed to the difference in glycemic control improvement between the present study and those previously reported.

Effect on sleep

The secondary objective of this study was to investigate the effect of ramelteon on sleep quality. In this study, ramelteon improved sleep quality in the type 2 diabetic patients with untreated insomnia. The sleep quality attained with ramelteon has been maintained even after discontinuing ramelteon. Ramelteon has MT1 and MT2 receptor affinities 5.8-fold and 3.4-fold, which are higher than those of melatonin itself [16]. Ramelteon is not expected to induce rebound insomnia or withdrawal effects, or to cause abuse or addiction [40]. Compared with healthy individuals, patients with type 2 diabetes frequently experience insomnia [1]. One of the reasons might be decreased melatonin secretion. Decreased blood melatonin level and urinary 6-sulfatoxymelatonin level have been observed in diabetic patients [41]. Another reason might be the nocturnal awakening and unrefreshing sleep due to a neurogenic bladder and painful diabetic neuropathy. Regarding the features of sleep disturbance among patients in this study, we observed difficulty in falling asleep with a mean sleep latency of 23.6 min. Besides, nocturnal awakening onset was often noted as a reason for sleep difficulties. Administration of 8 mg of ramelteon for 3 months reduced sleep latency to 18.8 min, and improved the subjective sleep quality and sleep latency in PSQI component scores and the global PSQI score. The quality of sleep improved by ramelteon has been maintained even after discontinuing taking ramelteon. Many previous studies reported changes in sleep quality after the administration of ramelteon. Sleep quality improved in response to the administration of ramelteon in patients with primary insomnia, gastroesophageal reflux disease, generalized anxiety disorder, and sleep apnea syndrome, and postmenopausal women [40, 42-45]. This is the first study undertaken to assess the effect of ramelteon in patients with type 2 diabetes. The results of this study suggest that ramelteon might be also useful for diabetic patients with insomnia. The incidence of adverse events associated to the administration of ramelteon was reported to be approximately 10% [46]. In this study, four of the 34 patients withdrew from the study because of lightheadedness or daytime sleepiness; however, no other adverse events were observed during the study. The rate of adverse events did not differ from that found in previous reports. Although problems such as rebound insomnia, drug withdrawal symptoms, abuse and addiction, have been reported with the use of some sleep medications [47], such problems have not been reported with the use of ramelteon. As for adverse events due to the discontinuation of ramelteon, sleep quality problems did not become exacerbated after discontinuation of ramelteon, and no adverse events such as rebound or withdrawal symptoms were observed either. In other words, discontinuation of ramelteon is unlikely to cause any disadvantage.

Association with health-related QOL

SF-36 was used in this study as a conventional index of health-related QOL. Some studies reported changes of the scores of SF-36 components after the administration of melatonin. Melatonin was reported to improve QOL, as assessed using the SF-36, in patients with primary insomnia and delayed sleep phase syndrome [48, 49], whereas no improvement in the QOL was observed in patients with tetraplegia and chronic fatigue syndrome [50, 51]. There have been no previous reports on the effects of ramelteon on health-related QOL of patients, regardless of diabetes; accordingly, this is the first report on the effect of ramelteon assessed using SF-36. However, no changes were observed in PCS, MCS, or RCS scores. Although global PSQI score, sleep quality and sleep latency improved, no improvement was observed in other parameters such as total sleep time or sleep efficiency, and therefore this might not have led to improvement in QOL.

Protocol

As there is no precedent for ramelteon administration to type 2 diabetic patients with untreated insomnia, it was unknown when the beneficial effect of ramelteon on glucose metabolism would appear in this population. A 6-month observation period was set to prevent the effect of seasonal changes in diet and exercise that would have profoundly affected the results if a longer had been set. In contrast, an observation period of < 6 months would have not allowed the examination of the effect of discontinuation of ramelteon on HbA1c. To determine this period, we referred to two previous melatonin studies with 3- and 5-month observation periods. In the present study, all patients were administered ramelteon at the start of the study. For an accurate evaluation of the effect of ramelteon, it would have been preferable to assign patients initially to two groups (administration or discontinuation of ramelteon) and to set a placebo group. However, as patients can subjectively determine the effect of sleep medication, patients in the placebo group may experience a loss of trust in their physicians because they are not experiencing any improvements in sleep. Moreover, patients in the non-ramelteon group might insist on consent withdrawal. Therefore, ramelteon was administered to all patients.

Limitations of this study

This study has some limitations. First, most type 2 diabetic patients with insomnia who regularly visited the hospital were already using a sleep medication. The rest of patients had not complained of or had not been asked from a doctor about sleeplessness. As only a few patients were satisfied with the conditions of untreated chronic insomnia, the number of registered patients was smaller than expected. Second, patients with an HbA1c level of ≥ 8 % were excluded and thus, few patients exhibited inadequate or poor glycemic control. We expected similar outcomes by administrating ramelteon to patients whose glycemic control was stable. However, ramelteon did not improve glucose metabolism in them. Ramelteon would likely have improved glucose metabolism in patients with a poor glycemic control.

Conclusion

Treatment with ramelteon did not change the HbA1c level but improved sleep quality in type 2 diabetic patients with insomnia. Discontinuation of ramelteon slightly increased the HbA1c level and did not worsen sleep quality.
  49 in total

1.  Long-term safety and efficacy of ramelteon in Japanese patients with chronic insomnia.

Authors:  Makoto Uchiyama; Misako Hamamura; Tomoaki Kuwano; Hiroshi Nagata; Takamasa Hashimoto; Atsushi Ogawa; Naohisa Uchimura
Journal:  Sleep Med       Date:  2011-01-28       Impact factor: 3.492

2.  Oxidative stress in patients with primary insomnia.

Authors:  Mustafa Gulec; Halil Ozkol; Yavuz Selvi; Yasin Tuluce; Adem Aydin; Lutfullah Besiroglu; Pınar Guzel Ozdemir
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-02-28       Impact factor: 5.067

3.  A randomized, placebo-controlled, double-blind, phase 3 trial to evaluate the efficacy and safety of anagliptin in drug-naïve patients with type 2 diabetes.

Authors:  Hae Kyung Yang; Kyung Wan Min; Sung Woo Park; Choon Hee Chung; Kyong Soo Park; Sung Hee Choi; Ki-Ho Song; Doo-Man Kim; Moon-Kyu Lee; Yeon-Ah Sung; Sei Hyun Baik; In Joo Kim; Bong-Soo Cha; Jeong Hyun Park; Yu Bae Ahn; In-Kyu Lee; Soon Jib Yoo; Jaetaek Kim; Ie Byung Park; Tae Sun Park; Kun-Ho Yoon
Journal:  Endocr J       Date:  2015-03-27       Impact factor: 2.349

4.  Role for the pineal and melatonin in glucose homeostasis: pinealectomy increases night-time glucose concentrations.

Authors:  S E la Fleur; A Kalsbeek; J Wortel; J van der Vliet; R M Buijs
Journal:  J Neuroendocrinol       Date:  2001-12       Impact factor: 3.627

5.  Evaluation of subjective efficacy and safety of ramelteon in Japanese subjects with chronic insomnia.

Authors:  Makoto Uchiyama; Misako Hamamura; Tomoaki Kuwano; Hiroshi Nishiyama; Hiroshi Nagata; Naohisa Uchimura
Journal:  Sleep Med       Date:  2011-01-21       Impact factor: 3.492

6.  Synthesis of a novel series of tricyclic indan derivatives as melatonin receptor agonists.

Authors:  Osamu Uchikawa; Kohji Fukatsu; Ryosuke Tokunoh; Mitsuru Kawada; Kiyoharu Matsumoto; Yumi Imai; Shuji Hinuma; Koki Kato; Hisao Nishikawa; Keisuke Hirai; Masaomi Miyamoto; Shigenori Ohkawa
Journal:  J Med Chem       Date:  2002-09-12       Impact factor: 7.446

7.  Efficacy and safety of prolonged-release melatonin in insomnia patients with diabetes: a randomized, double-blind, crossover study.

Authors:  Doron Garfinkel; Mariana Zorin; Julio Wainstein; Zipora Matas; Moshe Laudon; Nava Zisapel
Journal:  Diabetes Metab Syndr Obes       Date:  2011-08-02       Impact factor: 3.168

8.  Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index.

Authors:  Shahrad Taheri; Ling Lin; Diane Austin; Terry Young; Emmanuel Mignot
Journal:  PLoS Med       Date:  2004-12-07       Impact factor: 11.069

9.  Randomized, placebo-controlled, double-blind glycemic control trial of novel sodium-dependent glucose cotransporter 2 inhibitor ipragliflozin in Japanese patients with type 2 diabetes mellitus.

Authors:  Atsunori Kashiwagi; Kenichi Kazuta; Satoshi Yoshida; Itsuro Nagase
Journal:  J Diabetes Investig       Date:  2013-11-28       Impact factor: 4.232

10.  Secretory units of islets in transplantation index is a useful predictor of insulin requirement in Japanese type 2 diabetic patients.

Authors:  Minoru Iwata; Yumi Matsushita; Kazuhito Fukuda; Tatsurou Wakura; Keisuke Okabe; Yukiko Koshimizu; Yasuo Fukushima; Chikaaki Kobashi; Yu Yamazaki; Hisae Honoki; Hikari Suzuki; Mika Kigawa; Kazuyuki Tobe
Journal:  J Diabetes Investig       Date:  2013-12-26       Impact factor: 4.232

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  9 in total

Review 1.  Melatonin in type 2 diabetes mellitus and obesity.

Authors:  Angeliki Karamitri; Ralf Jockers
Journal:  Nat Rev Endocrinol       Date:  2019-02       Impact factor: 43.330

2.  Association of usual sleep quality and glycemic control in type 2 diabetes in Japanese: A cross sectional study. Sleep and Food Registry in Kanagawa (SOREKA).

Authors:  Rika Sakamoto; Tadashi Yamakawa; Kenichiro Takahashi; Jun Suzuki; Minori Matsuura Shinoda; Kentaro Sakamaki; Hirosuke Danno; Hirohisa Tsuchiya; Manabu Waseda; Tatsuro Takano; Fuyuki Minagawa; Masahiko Takai; Tomohide Masutani; Jo Nagakura; Erina Shigematsu; Masashi Ishikawa; Shigeru Nakajima; Kazuaki Kadonosono; Yasuo Terauchi
Journal:  PLoS One       Date:  2018-01-24       Impact factor: 3.240

3.  Drug Targetor: a web interface to investigate the human druggome for over 500 phenotypes.

Authors:  Héléna A Gaspar; Christopher Hübel; Gerome Breen
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

4.  Post-Hoc Analyses of the Effects of Baseline Sleep Quality on SHP465 Mixed Amphetamine Salts Extended-Release Treatment Response in Adults with Attention-Deficit/Hyperactivity Disorder.

Authors:  Craig B H Surman; Brigitte Robertson; Jie Chen; Samuele Cortese
Journal:  CNS Drugs       Date:  2019-07       Impact factor: 5.749

5.  Associations between urinary 6-sulfatoxymelatonin excretion and diabetic vascular complications or arteriosclerosis in patients with type 2 diabetes.

Authors:  Kenichi Tanaka; Yosuke Okada; Hajime Maiko; Hiroko Mori; Yoshiya Tanaka
Journal:  J Diabetes Investig       Date:  2020-08-25       Impact factor: 4.232

Review 6.  A Growing Link between Circadian Rhythms, Type 2 Diabetes Mellitus and Alzheimer's Disease.

Authors:  Xuemin Peng; Rongping Fan; Lei Xie; Xiaoli Shi; Kun Dong; Shujun Zhang; Jing Tao; Weijie Xu; Delin Ma; Juan Chen; Yan Yang
Journal:  Int J Mol Sci       Date:  2022-01-03       Impact factor: 5.923

Review 7.  Sleep disorders in people with type 2 diabetes and associated health outcomes: a review of the literature.

Authors:  Samantha B J Schipper; Maaike M Van Veen; Petra J M Elders; Annemieke van Straten; Ysbrand D Van Der Werf; Kristen L Knutson; Femke Rutters
Journal:  Diabetologia       Date:  2021-08-16       Impact factor: 10.122

8.  Relationship between Intrinsically Photosensitive Ganglion Cell Function and Circadian Regulation in Diabetic Retinopathy.

Authors:  Sirimon Reutrakul; Stephanie J Crowley; Jason C Park; Felix Y Chau; Medha Priyadarshini; Erin C Hanlon; Kirstie K Danielson; Ben S Gerber; Tracy Baynard; Jade J Yeh; J Jason McAnany
Journal:  Sci Rep       Date:  2020-01-31       Impact factor: 4.379

9.  Bypassing the blues: Insomnia in the depressed post-CABG population.

Authors:  Lauren A Waterman; Bea Herbeck Belnap; Marie Anne Gebara; Yan Huang; Kaleab Z Abebe; Bruce L Rollman; Jordan F Karp
Journal:  Ann Clin Psychiatry       Date:  2020-02       Impact factor: 1.567

  9 in total

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