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CompletedNCT03036592ONTIME-MTUpdated Apr 16, 2025Results posted

MTNR1B SNP*Food Timing Interaction on Glucose Control

An interventional study of Early OGTT and Late OGTT in Non-Diabetic Disorder of Endocrine Pancreas, sponsored by Universidad de Murcia. Completed at 1 site in Spain. Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-04-16.

Sponsored by Universidad de Murcia · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
889
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

The purpose of this investigation is to assess the role of melatonin receptor 1B (MTNR1B) single nucleotide polymorphism (SNP)*food timing interaction on glucose control in the deleterious effect in a vulnerable population with regular exposure to concurrent high melatonin and food intake as late night eaters (those having dinner within 2.5 h before their usual bed time). With the results from this study, we expect to advance our understanding of the role of endogenous melatonin on glucose metabolism in late night eaters and carriers of the MTNR1B risk allele, with potential implications on the guidelines to mitigate risk of type 2 diabetes in late night eaters and carriers of the MTNR1B risk allele.

Read the detailed description

Late-night dinner eating is associated with increased risk for type-2-diabetes. The underlying mechanism is unclear. One explanatory hypothesis is that the concurrence of elevated circulating melatonin and high glucose concentrations (characterizing late-eating) leads to impaired glucose-tolerance. However, to date, no study has tested the influence of physiological melatonin concentrations on glucose tolerance. The discovery of melatonin receptor MTNR1B as a diabetes risk gene provides evidence for a role of physiological levels of melatonin in glucose control.

The aim of the current study is to test the hypothesis that the concurrence of meal timing with elevated endogenous melatonin concentrations results in impaired glucose control and that this effect is stronger in homozygous MTNR1B risk carriers than in non-carriers. To do so we will test glucose tolerance using identical mixed meals under two glucose oral tolerance test (OGTT) conditions: a) delayed OGTT or Late Eating (LE): starting1 hour before their usual bed time, b) advanced OGTT or Early Eating (EE): starting 4 hours before habitual bed time, in a randomized, cross-over study design.

These findings could support a clinical application for the screening of this SNP and the possibility of implementing tailored and cost-effective behavioral interventions to prevent type 2 diabetes in vulnerable populations.

These goals will be achieved through a specific approach:

  • Interventional (randomized, cross-over controlled trials) (Aim 1): To study the potential interaction between meal timing (dinner) and genetic variants MTNR1B for glucose tolerance (n=1000).
02

Conditions studied

  • Non-Diabetic Disorder of Endocrine Pancreas

Keywords

  • Glucose tolerance test, MTNR1B, nutrigenomics, food timing
03

In context

Lead sponsor

Universidad de Murcia is the lead sponsor of 77 studies on the registry; 16 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Body Mass Index: > 18.5 o \< 40 kg/m2
  • Age: between 18 and 65 year of age
  • European ancestry
  • Day workers

Exclusion criteria

Exclusion Criteria:

  • Receiving treatment with thermogenic, lipogenic, or drugs
  • Diabetes mellitus, chronic renal failure, hepatic diseases, or cancer diagnosis
  • Bulimia diagnosis, prone to binge eating
  • Undergoing treatment with Type 2 diabetes mellitus (high blood sugar) medications such as Metformin or other non-Metformin oral anti-diabetic drugs such as sulfonylureas, meglitinides, or glitazones
  • Undergoing treatment with Corticosteroids/steroids, Growth hormone, Anticoagulant medicines, or blood thinners, Beta blockers for hypertension, Medications for sleep, Fluvoxamine, Opioids or Amphetamines, Tranquilizers, nonsteroidal anti-inflammatory drugs.
  • Pregnant
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
889 participants (actual)

Study arms

  • Experimental
    Early OGTT, then late OGTT in MTNR1B CC

    Oral glucose tolerance test (OGTT) in homozygous non-carriers (CC) for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

  • Experimental
    Early OGTT, then late OGTT in MTNR1B CG

    Oral glucose tolerance test (OGTT) in heterozygous (CG) risk allele carriers for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

  • Experimental
    Early OGTT, then late OGTT in MTNR1B GG

    Oral glucose tolerance test (OGTT) in homozygous (GG) risk allele carriers for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

  • Experimental
    Late OGTT, then Early OGTT in MTNR1B CC

    Oral glucose tolerance test (OGTT) in heterozygous (CG) risk allele carriers for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

  • Experimental
    Late OGTT, then Early OGTT in MTNR1B CG

    Oral glucose tolerance test (OGTT) in heterozygous (CG) risk allele carriers for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

  • Experimental
    Late OGTT, then Early OGTT in MTNR1B GG

    Oral glucose tolerance test (OGTT) in heterozygous (CG) risk allele carriers for MTNR1B rs10830963 in Early and Late conditions

    Behavioral: Early OGTT · Behavioral: Late OGTT

Interventions

  • BehavioralEarly OGTT

    Oral glucose tolerance test using identical mixed 75 gr of glucose under early condition (4 hours before habitual bedtime)

  • BehavioralLate OGTT

    Oral glucose tolerance test using identical mixed 75 gr of glucose under late condition (1 hour before habitual bedtime)

06

What researchers measure

Primary outcomes

  1. Area Under the Curve (AUC) Glucose

    Glucose levels are measured along 120 minutes corresponding to at early and late condition in each visit. The Area Under the Curve was calculated as the sum of the area of several trapezoids. This trapezoids was obtained at times 0-30 min, 30-60 min, 60-90 min, 90-120 min. The values are the difference between the late and the early condition.

    Time frame: Along 120 minutes in visits 1 and 2

  2. Disposition Index (DI)

    Disposition Index (DI) is the product of insulin sensitivity times by the amount of insulin secreted in response to blood glucose levels. Disposition index is used as a measure of beta cell function and the ability of the body to dispose of a glucose load. This index was determined by this formula: DI= CIR × ISI, where CIR is the measure Corrected Insulin Response, and ISI is Insulin Sensitivity Index. The values are the difference between the late and the early condition. Higher DI indicates an increased beta cell function and increased ability of the body to dispose of a glucose load.

    Time frame: Along 120 minutes in visits 1 and 2

Secondary outcomes

  1. Corrected Insulin Response (CIR)

    The measure of Corrected Insulin Response (CIR) uses the insulin and glucose levels at minute 30, integrating these values in the formula: CIR= l30/(G30 × (G30 - 70)).The values are the difference between the late and the early conditions. CIR is an index that assesses the insulin secretion capacity of B cells. A low CIR implies hyposecretion in response to glucose levels.

    Time frame: At minute 30 during the visit 1 and 2.

  2. Insulin Sensitivity Index (ISI)

    Insulin Sensitivity Index is a measurement which integrates fasting glucose and insulin concentrations (0 min) and the mean of the glucose and insulin levels from 0 to 120 minutes (0, 30, 60, 90 and 120 min), from an OGTT, to measure insulin sensitivity. This formula allows its use in clinical settings as well as in large epidemiological studies. The values are the difference between the late and the early condition. Elevated ISI values typically indicate a favorable outcome. This index reflects the body's responsiveness to insulin, a hormone crucial for regulating blood sugar levels. Higher sensitivity to insulin suggests that cells efficiently utilize insulin's signals, promoting better blood sugar management. Lower ISI may lead to challenges in maintaining stable blood glucose levels and is often associated with conditions such as type 2 diabetes and metabolic syndrome.

    Time frame: Along 120min in visits 1 and 2

  3. Fasting Glucose

    Fasting glucose (or basal glucose) is a simple measurement of glucose concentrations at minute 0 to see how glucose levels rise immediately after an OGTT. The values are the difference between the late and the early condition.

    Time frame: At minute 0 in visit 1 and 2.

  4. Fasting Insulin

    Fasting insulin (or basal insulin) is a simple measurement of insulin concentrations at minute 0 to see how insulin levels rise immediately after an OGTT.The values are the difference between the late and the early condition.

    Time frame: At minute 0 in visit 1 and 2

  5. Serum Melatonin

    Measurement of serum melatonin is made at time 0 and at time 120 in both the early and late conditions of everyone.

    Time frame: At baseline and 120 minutes in visit 1 and 2

  6. Dim Light Melatonin Onset (DLMO) at Early Condition Only

    This measurement shows the decimal time of the onset of melatonin in dim light conditions. In the case of DLMO, we only performed this measure at the early condition in order to get the analysis of melatonin during 5 hours (4 hours before the habitual bedtime and 1 hour later), as it is described in literature (DOI: 10.1002/oby.23749).

    Time frame: Melatonin measured every half hour for 5 hours at Early condition in all participants

Other outcomes

  1. Temperature Record (Mean Value 10hours Daytime)

    Measured using a temperature sensor which records the temperature during 7 days. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  2. Activity Record (Mean Value 10hours Daytime)

    During the seven days of the study, individuals wore a wristwatch in their non-dominant hand, that integrates two sensors: a temperature sensor, and an accelerometer sensor that records physical activity and body position data (G Acceleration Data Logger UA-004-64; Onset Computer, Bourne, MA, USA). Activity was expressed as the change in degrees per minute (Δ°/min). We calculated the average activity value during the 10 consecutive hours of maximum values. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  3. Light Exposure (Mean Value 10hours Daytime)

    Measured using a light sensor during 7 days. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between the visits 1 and 2

  4. Sleep Duration

    Sleep duration will be computed from self-reported. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  5. Total Energy Intake

    Total energy intake in kcal/day will be computed with a 7-day dietary log. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  6. Dietary Composition

    Macronutrient and micronutrient intake will be computed from 7-days of self-reported 24-hr dietary recalls. Percentage Kcal respect to the Total Energy Intake. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  7. Dietary Intake Timing

    Food timing will be self-reported and averaged across 7-days of 24-hour dietary recalls. We only determined it during the washout period (neither early nor late conditions).

    Time frame: For 1 week between visit 1 and 2

  8. Physical Activity

    Assessed using the International Physical Activity Questionnaire (IPAQ). This international questionnaire measures physical activity through the amount of energy expended carrying out physical activity i.e., Metabolic Units (MET) minutes a week. The higher the MET, the more amount of physical activity the individual performs. This allows us to classify low, moderate, or vigorous activity. 7 or more days of any combination of walking, moderate-intensity or vigorous intensity activities achieving a minimum of at least 3000 MET minutes a week. We only determined it during the washout period (neither early nor late conditions). Formula for computation of Met-minutes: * Walking MET-minutes/week = 3.3 \* walking minutes \* walking "days" * Moderate MET-minutes/week = 4.0 \* moderate-intensity activity minutes \* moderate days * Vigorous MET-minutes/week = 8.0 \* vigorous-intensity activity minutes \* vigorous-intensity days

    Time frame: During the week of washout

  9. Chronotype

    Assessed using the Morningness-Eveningness Questionnaire (MEQ). Its main purpose is to measure whether a person's circadian rhythm produces peak alertness in the morning, in the evening, or in between. It is a score that indicates the degree to which the individual favors the morning over the night. We only determined it during the washout period (neither early nor late conditions). Values: Min: 17 Max: 86 Explanation: 17-30: extreme eveningness 31-41: eveningness 42-58: neither 59-69: morningness 70-86: extreme morningness

    Time frame: During the week of washout

  10. Emotional Eating

    Assessed using the Emotional Eating Questionnaire (EEQ). This questionnaire classifies individuals based on the relationship between food intake and emotions. Score between 0 and 30. We only determined it during the washout period (neither early nor late conditions). Explanation: 0-5: nothing emotional 5-10: less emotional 10-20: emotional 20-30: Very emotional

    Time frame: During the week of washout

  11. Sleep Quality

    Assessed using the Pittsburgh Sleep Quality Index (PSQI). This questionnaire is used to quantitatively assess the quality of sleep. 7 scores are obtained that inform us about various aspects of sleep quality. We only determined it during the washout period (neither early nor late conditions). Score between 0 and 21. Total score of the questionnaire is divided into 7 items. Those items have a score from 0 (no problem) to 3 (severe problem). 0-5: sleep quality optimum 6-21: sleep disorders

    Time frame: During the week of washout

  12. Insomnia

    Assessed using the Insomnia Severity Index (ISI). This questionnaire has 5 items and is used to assess the possible existence of sleep problems. According to the score obtained, a classification is made from no insomnia to severe clinical insomnia. We only determined it during the washout period (neither early nor late conditions). Score ranges between 0 and 28 Explanation: 0-7: no insomnia 8-14: subclinical insomnia 15-21: moderate insomnia 22-28: severe insomnia The higher the score, the more harmful

    Time frame: During the week of washout

  13. Depression

    Assessed using the Patient Health Questionnaire (PHQ-9). This instrument aims to help the diagnosis of depression through the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV), and to determine the severity of the disorder. It is made up of 9 items that refer to the last two weeks. The score ranges between 0 and 27. We only determined it during the washout period (neither early nor late conditions). 0-4: no depression 5-9: mild depression 10-14: moderate depression 15-19: moderate-severe depression 20-27: severe depression Explanation: 0-4: no depression 5-9: mild depression 10-14: moderate depression 15-19: moderate-severe depression 20-27: severe depression The higher the score, the more harmful

    Time frame: During the week of washout

07

Results

Posted Apr 16, 2025
Limitations and caveats
* Typically, the Participant Flow list Arms/Groups "per sequence" (i.e., "MTNR1B CC Early OGTT first, then Late OGTT", MTNR1B CC Late OGTT first, then Early OGTT", etc.). However, as shown (Diabetes Care, PUBMED: 35015083), the study was conducted to compare the conditions of "early" and "late", within each genotyping-group without considering the order. * The individual's genotypes were not known until the end of the study, then we could not assign the groups until we finished the study.

Participant flow

1457 patients were recruited from January 2017 to March 2020.

First Visit (1day)
Participant flow — First Visit (1day)
MilestoneEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Started2211933620214944
Completed2211933620214944
Not completed000000
Washout (1week)
Participant flow — Washout (1week)
MilestoneEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Started2211933620214944
Completed2211933620214944
Not completed000000
Second Visit (1day)
Participant flow — Second Visit (1day)
MilestoneEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Started2211933620214944
Completed2211933620214944
Not completed000000

Outcome measures

PrimaryArea Under the Curve (AUC) Glucose

Glucose levels are measured along 120 minutes corresponding to at early and late condition in each visit. The Area Under the Curve was calculated as the sum of the area of several trapezoids. This trapezoids was obtained at times 0-30 min, 30-60 min, 60-90 min, 90-120 min. The values are the difference between the late and the early condition.

Time frame:
Along 120 minutes in visits 1 and 2
Reported as:
Mean · mg*h/dL
Area Under the Curve (AUC) Glucose
mg*h/dLEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
AUC_Glucose_EE (Early Eating)278.84 ± 49.12268.92 ± 48.69260.66 ± 45.30282.21 ± 54.89274.91 ± 55.55282.19 ± 56.56
AUC_Glucose_LE (Late Eating)291.58 ± 49.73300.51 ± 54.60300.61 ± 61.35300.70 ± 56.88299.09 ± 57.74320.32 ± 63.95
PrimaryDisposition Index (DI)

Disposition Index (DI) is the product of insulin sensitivity times by the amount of insulin secreted in response to blood glucose levels. Disposition index is used as a measure of beta cell function and the ability of the body to dispose of a glucose load. This index was determined by this formula: DI= CIR × ISI, where CIR is the measure Corrected Insulin Response, and ISI is Insulin Sensitivity Index. The values are the difference between the late and the early condition. Higher DI indicates an increased beta cell function and increased ability of the body to dispose of a glucose load.

Time frame:
Along 120 minutes in visits 1 and 2
Reported as:
Mean · Index
Disposition Index (DI)
IndexEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
DI_EE3.44 ± 3.034.59 ± 6.425.04 ± 6.143.54 ± 3.043.83 ± 3.843.96 ± 3.61
DI_LE3.33 ± 3.662.97 ± 2.552.78 ± 1.673.19 ± 3.343.19 ± 2.503.04 ± 4.46
SecondaryCorrected Insulin Response (CIR)

The measure of Corrected Insulin Response (CIR) uses the insulin and glucose levels at minute 30, integrating these values in the formula: CIR= l30/(G30 × (G30 - 70)).The values are the difference between the late and the early conditions. CIR is an index that assesses the insulin secretion capacity of B cells. A low CIR implies hyposecretion in response to glucose levels.

Time frame:
At minute 30 during the visit 1 and 2.
Reported as:
Mean · Index
Corrected Insulin Response (CIR)
IndexEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG Late OGTT, Then Early OGTT in MTNR1B CG
CIR_EE0.57 ± 0.600.70 ± 1.100.94 ± 1.410.58 ± 0.520.59 ± 0.450.53 ± 0.38
CIR_LE0.50 ± 0.460.44 ± 0.380.46 ± 0.230.53 ± 0.600.51 ± 0.450.36 ± 0.28
SecondaryInsulin Sensitivity Index (ISI)

Insulin Sensitivity Index is a measurement which integrates fasting glucose and insulin concentrations (0 min) and the mean of the glucose and insulin levels from 0 to 120 minutes (0, 30, 60, 90 and 120 min), from an OGTT, to measure insulin sensitivity. This formula allows its use in clinical settings as well as in large epidemiological studies. The values are the difference between the late and the early condition. Elevated ISI values typically indicate a favorable outcome. This index reflects the body's responsiveness to insulin, a hormone crucial for regulating blood sugar levels. Higher sensitivity to insulin suggests that cells efficiently utilize insulin's signals, promoting better blood sugar management. Lower ISI may lead to challenges in maintaining stable blood glucose levels and is often associated with conditions such as type 2 diabetes and metabolic syndrome.

Time frame:
Along 120min in visits 1 and 2
Reported as:
Mean · Index
Insulin Sensitivity Index (ISI)
IndexEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
ISI_EE7.36 ± 5.407.26 ± 4.386.42 ± 3.437.19 ± 5.027.40 ± 5.137.61 ± 3.91
ISI_LE8.11 ± 6.988.11 ± 6.347.32 ± 4.206.99 ± 4.917.59 ± 5.228.00 ± 6.66
SecondaryFasting Glucose

Fasting glucose (or basal glucose) is a simple measurement of glucose concentrations at minute 0 to see how glucose levels rise immediately after an OGTT. The values are the difference between the late and the early condition.

Time frame:
At minute 0 in visit 1 and 2.
Reported as:
Mean · mg/dL
Fasting Glucose
mg/dLEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Fasting glucose_EE85.25 ± 7.7384.36 ± 7.2584.05 ± 5.7584.37 ± 6.8484.69 ± 7.7183.01 ± 4.90
Fasting glucose_LE84.09 ± 7.1584.92 ± 7.0785.70 ± 6.9084.70 ± 7.7485.53 ± 6.883.87 ± 7.51
SecondaryFasting Insulin

Fasting insulin (or basal insulin) is a simple measurement of insulin concentrations at minute 0 to see how insulin levels rise immediately after an OGTT.The values are the difference between the late and the early condition.

Time frame:
At minute 0 in visit 1 and 2
Reported as:
Mean · µU/mL
Fasting Insulin
µU/mLEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Fasting insulin_EE6.70 ± 4.516.30 ± 4.286.88 ± 3.736.67 ± 4.736.16 ± 3.585.63 ± 3.69
Fasting insulin_LE6.13 ± 4.485.70 ± 3.655.71 ± 2.736.50 ± 4.566.09 ± 3.835.52 ± 3.32
SecondarySerum Melatonin

Measurement of serum melatonin is made at time 0 and at time 120 in both the early and late conditions of everyone.

Time frame:
At baseline and 120 minutes in visit 1 and 2
Reported as:
Mean · pg/mL
Serum Melatonin
pg/mLEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Melatonin_t0_EE20.86 ± 12.3219.50 ± 9.8220.25 ± 10.7019.20 ± 10.3919.01 ± 10.8723.13 ± 14.92
Melatonin_t120_EE25.81 ± 17.6926.85 ± 22.1025.72 ± 19.6525.40 ± 18.0321.83 ± 13.4729.61 ± 26.63
Melatonin_t0_LE52.69 ± 40.3453.16 ± 43.6954.24 ± 35.2149.32 ± 34.3947.16 ± 41.1455.33 ± 32.39
Melatonin_t120_LE79.36 ± 52.2483.92 ± 60.2893.83 ± 63.7181.07 ± 55.8674.06 ± 55.7283.80 ± 44.87
SecondaryDim Light Melatonin Onset (DLMO) at Early Condition Only

This measurement shows the decimal time of the onset of melatonin in dim light conditions. In the case of DLMO, we only performed this measure at the early condition in order to get the analysis of melatonin during 5 hours (4 hours before the habitual bedtime and 1 hour later), as it is described in literature (DOI: 10.1002/oby.23749).

Time frame:
Melatonin measured every half hour for 5 hours at Early condition in all participants
Reported as:
Mean · decimal hours
Dim Light Melatonin Onset (DLMO) at Early Condition Only
decimal hoursEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Dim Light Melatonin Onset (DLMO) at Early Condition Only22.42 ± 1.3322.03 ± 1.0622.41 ± 0.9222.50 ± 1.3822.08 ± 1.1322.39 ± 1.40
Other pre-specifiedTemperature Record (Mean Value 10hours Daytime)

Measured using a temperature sensor which records the temperature during 7 days. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · centigrade degrees
Temperature Record (Mean Value 10hours Daytime)
centigrade degreesEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Temperature Record (Mean Value 10hours Daytime)32.94 ± 0.9832.95 ± 1.0933.24 ± 0.9433.05 ± 0.9832.91 ± 0.9333.02 ± 0.95
Other pre-specifiedActivity Record (Mean Value 10hours Daytime)

During the seven days of the study, individuals wore a wristwatch in their non-dominant hand, that integrates two sensors: a temperature sensor, and an accelerometer sensor that records physical activity and body position data (G Acceleration Data Logger UA-004-64; Onset Computer, Bourne, MA, USA). Activity was expressed as the change in degrees per minute (Δ°/min). We calculated the average activity value during the 10 consecutive hours of maximum values. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · changes in degrees/min (Δ°/min)
Activity Record (Mean Value 10hours Daytime)
changes in degrees/min (Δ°/min)Early OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Activity Record (Mean Value 10hours Daytime)42.69 ± 8.5151.61 ± 85.3342.62 ± 6.4641.73 ± 9.1243.83 ± 8.0644.30 ± 8.31
Other pre-specifiedLight Exposure (Mean Value 10hours Daytime)

Measured using a light sensor during 7 days. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between the visits 1 and 2
Reported as:
Mean · Lux log
Light Exposure (Mean Value 10hours Daytime)
Lux logEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Light Exposure (Mean Value 10hours Daytime)0.82 ± 0.240.83 ± 0.240.77 ± 0.270.81 ± 0.250.81 ± 0.250.88 ± 0.32
Other pre-specifiedSleep Duration

Sleep duration will be computed from self-reported. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · decimal hours
Sleep Duration
decimal hoursEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Sleep Duration7.43 ± 0.757.52 ± 0.797.58 ± 0.707.56 ± 0.827.46 ± 0.887.51 ± 0.69
Other pre-specifiedTotal Energy Intake

Total energy intake in kcal/day will be computed with a 7-day dietary log. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · Kcal/day
Total Energy Intake
Kcal/dayEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Total Energy Intake1563.64 ± 529.391548.29 ± 552.641666.25 ± 633.621555.96 ± 625.391619.23 ± 695.371753.18 ± 719.78
Other pre-specifiedDietary Composition

Macronutrient and micronutrient intake will be computed from 7-days of self-reported 24-hr dietary recalls. Percentage Kcal respect to the Total Energy Intake. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · percentage
Dietary Composition
percentageEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Fat34.85 ± 7.0133.95 ± 7.3736.04 ± 8.2533.94 ± 7.8334.90 ± 8.0435.85 ± 8.49
Proteins17.52 ± 3.4118.26 ± 3.9418.02 ± 3.9218.18 ± 3.9518.24 ± 3.4817.57 ± 3.65
Carbohydrates47.17 ± 7.6647.75 ± 7.4246.85 ± 7.3847.82 ± 8.3346.64 ± 8.4946.68 ± 7.58
Other pre-specifiedDietary Intake Timing

Food timing will be self-reported and averaged across 7-days of 24-hour dietary recalls. We only determined it during the washout period (neither early nor late conditions).

Time frame:
For 1 week between visit 1 and 2
Reported as:
Mean · decimal hours
Dietary Intake Timing
decimal hoursEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Start breakfast8.72 ± 0.988.68 ± 0.878.80 ± 0.928.74 ± 0.928.68 ± 0.838.66 ± 0.96
Start lunch14.66 ± 0.4914.72 ± 0.5314.60 ± 0.4214.70 ± 0.5214.71 ± 0.4814.50 ± 0.38
Start dinner21.66 ± 0.5321.61 ± 0.6521.64 ± 0.4921.61 ± 0.5621.67 ± 0.5421.54 ± 0.56
Other pre-specifiedPhysical Activity

Assessed using the International Physical Activity Questionnaire (IPAQ). This international questionnaire measures physical activity through the amount of energy expended carrying out physical activity i.e., Metabolic Units (MET) minutes a week. The higher the MET, the more amount of physical activity the individual performs. This allows us to classify low, moderate, or vigorous activity. 7 or more days of any combination of walking, moderate-intensity or vigorous intensity activities achieving a minimum of at least 3000 MET minutes a week. We only determined it during the washout period (neither early nor late conditions). Formula for computation of Met-minutes: * Walking MET-minutes/week = 3.3 \* walking minutes \* walking "days" * Moderate MET-minutes/week = 4.0 \* moderate-intensity activity minutes \* moderate days * Vigorous MET-minutes/week = 8.0 \* vigorous-intensity activity minutes \* vigorous-intensity days

Time frame:
During the week of washout
Reported as:
Mean · Metabolic Units (MET)-minutes/week
Physical Activity
Metabolic Units (MET)-minutes/weekEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Physical Activity4066.98 ± 5898.974548.62 ± 5060.764560.41 ± 5779.474646.63 ± 4877.344429.64 ± 5284.584608.31 ± 4765.35
Other pre-specifiedChronotype

Assessed using the Morningness-Eveningness Questionnaire (MEQ). Its main purpose is to measure whether a person's circadian rhythm produces peak alertness in the morning, in the evening, or in between. It is a score that indicates the degree to which the individual favors the morning over the night. We only determined it during the washout period (neither early nor late conditions). Values: Min: 17 Max: 86 Explanation: 17-30: extreme eveningness 31-41: eveningness 42-58: neither 59-69: morningness 70-86: extreme morningness

Time frame:
During the week of washout
Reported as:
Mean · score
Chronotype
scoreEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Chronotype51.15 ± 9.4251.75 ± 8.9049.83 ± 10.7051.35 ± 10.1551.65 ± 10.3251.11 ± 8.97
Other pre-specifiedEmotional Eating

Assessed using the Emotional Eating Questionnaire (EEQ). This questionnaire classifies individuals based on the relationship between food intake and emotions. Score between 0 and 30. We only determined it during the washout period (neither early nor late conditions). Explanation: 0-5: nothing emotional 5-10: less emotional 10-20: emotional 20-30: Very emotional

Time frame:
During the week of washout
Reported as:
Mean · score
Emotional Eating
scoreEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Emotional Eating11.10 ± 6.2610.64 ± 5.7411.16 ± 6.3210.98 ± 6.1610.81 ± 6.2810.54 ± 5.79
Other pre-specifiedSleep Quality

Assessed using the Pittsburgh Sleep Quality Index (PSQI). This questionnaire is used to quantitatively assess the quality of sleep. 7 scores are obtained that inform us about various aspects of sleep quality. We only determined it during the washout period (neither early nor late conditions). Score between 0 and 21. Total score of the questionnaire is divided into 7 items. Those items have a score from 0 (no problem) to 3 (severe problem). 0-5: sleep quality optimum 6-21: sleep disorders

Time frame:
During the week of washout
Reported as:
Mean · score
Sleep Quality
scoreEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Sleep Quality6.05 ± 3.056.15 ± 3.156.75 ± 3.257.00 ± 3.746.84 ± 3.366.49 ± 3.29
Other pre-specifiedInsomnia

Assessed using the Insomnia Severity Index (ISI). This questionnaire has 5 items and is used to assess the possible existence of sleep problems. According to the score obtained, a classification is made from no insomnia to severe clinical insomnia. We only determined it during the washout period (neither early nor late conditions). Score ranges between 0 and 28 Explanation: 0-7: no insomnia 8-14: subclinical insomnia 15-21: moderate insomnia 22-28: severe insomnia The higher the score, the more harmful

Time frame:
During the week of washout
Reported as:
Mean · score
Insomnia
scoreEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Insomnia6.44 ± 4.836.63 ± 4.997.86 ± 5.487.04 ± 5.396.86 ± 5.487.29 ± 5.97
Other pre-specifiedDepression

Assessed using the Patient Health Questionnaire (PHQ-9). This instrument aims to help the diagnosis of depression through the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV), and to determine the severity of the disorder. It is made up of 9 items that refer to the last two weeks. The score ranges between 0 and 27. We only determined it during the washout period (neither early nor late conditions). 0-4: no depression 5-9: mild depression 10-14: moderate depression 15-19: moderate-severe depression 20-27: severe depression Explanation: 0-4: no depression 5-9: mild depression 10-14: moderate depression 15-19: moderate-severe depression 20-27: severe depression The higher the score, the more harmful

Time frame:
During the week of washout
Reported as:
Mean · score
Depression
scoreEarly OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GG
Depression4.50 ± 3.894.61 ± 4.174.77 ± 4.834.98 ± 4.524.57 ± 3.635.31 ± 4.41

Adverse events

Collected over During 9 days (1 day of intervention-1 week of washout-1 day of intervention), through study completion. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Early OGTT (First) in MTNR1B CC0/221 (0%)0/221 (0%)0/221 (0%)
Early OGTT (First) in MTNR1B CG0/193 (0%)0/193 (0%)0/193 (0%)
Early OGTT (First) in MTNR1B GG0/36 (0%)0/36 (0%)0/36 (0%)
Late OGTT (First) in MTNR1B CC0/202 (0%)0/202 (0%)0/202 (0%)
Late OGTT (First) in MTNR1B CG0/149 (0%)0/149 (0%)0/149 (0%)
Late OGTT (First) in MTNR1B GG0/44 (0%)0/44 (0%)0/44 (0%)
Late OGTT (Second) in MTNR1B CC0/221 (0%)0/221 (0%)0/221 (0%)
Late OGTT (Second) in MTNR1B CG0/193 (0%)0/193 (0%)0/193 (0%)
Late OGTT (Second) in MTNR1B GG0/36 (0%)0/36 (0%)0/36 (0%)
Early OGTT (Second) in MTNR1B CC0/202 (0%)0/202 (0%)0/202 (0%)
Early OGTT (Second) in MTNR1B CG0/149 (0%)0/149 (0%)0/149 (0%)
Early OGTT (Second) in MTNR1B GG0/44 (0%)0/44 (0%)0/44 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Early OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GGTotal
Mean36 ± 1339 ± 1436 ± 1538 ± 1439 ± 1537 ± 1638 ± 14
Sex: Female, Male
Sex: Female, Male(Participants)Early OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GGTotal
Female1521363014310732600
Male69576594212245
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Early OGTT, Then Late OGTT in MTNR1B CCEarly OGTT, Then Late OGTT in MTNR1B CGEarly OGTT, Then Late OGTT in MTNR1B GGLate OGTT, Then Early OGTT in MTNR1B CCLate OGTT, Then Early OGTT in MTNR1B CGLate OGTT, Then Early OGTT in MTNR1B GGTotal
American Indian or Alaska Native0000000
Asian0000000
Native Hawaiian or Other Pacific Islander0000000
Black or African American0000000
White2211933620214944845
More than one race0000000
Unknown or Not Reported0000000
08

Study locations

1 site
  • University of Murcia
    Murcia, 30100, Spain
09

References and documents

Publications

  • Garaulet M, Lopez-Minguez J, Dashti HS, Vetter C, Hernandez-Martinez AM, Perez-Ayala M, Baraza JC, Wang W, Florez JC, Scheer FAJL, Saxena R. Interplay of Dinner Timing and MTNR1B Type 2 Diabetes Risk Variant on Glucose Tolerance and Insulin Secretion: A Randomized Crossover Trial. Diabetes Care. 2022 Mar 1;45(3):512-519. doi: 10.2337/dc21-1314. PubMed 35015083 ↗

Study documents

  • Study protocol · Sep 1, 2016
  • Statistical analysis plan · Sep 1, 2016
  • Informed consent form · Sep 1, 2016

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 16, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03036592
Lead sponsor
Universidad de Murcia
Responsible party
PROF. MARTA GARAULET AZA (Full Professor, Universidad de Murcia) — Principal investigator
First posted
Jan 30, 2017
Start date
Jan 1, 2017
Primary completion
Mar 13, 2020
Completion
Mar 13, 2020
Results posted
Apr 16, 2025
Last update
Apr 16, 2025

Study contacts

Purificación Gomez Abellan, PHD
study chair · Universidad de Murcia

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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