The goal of this descriptive clinical study is to investigate daily oscillations in glycaemic control between healthy adults and adults with excess weight and who have early-stage prediabetes or T2D and are not taking medications for glycaemic control. The study also explores how these differences relate to changes in daily patterns in oral microbiome and metabolome, circadian markers, and lifestyle factors such as eating, physical activity, light exposure and appetite. The main questions to answer are: 1. Do adults with excess weight and prediabetes/T2D exhibit a disruption of the circadian system compared to healthy individuals? If so, are these disruptions manifested in hormone levels, gene expression, microbiota composition and function, metabolite levels and appetite regulation? 2. Does chrono-disruption contribute to the dysregulation of glucose metabolism and responses to lifestyle factors in individuals with excess weight and prediabetes/T2D? Researchers will compare two groups: * Healthy adults with normal weight. * Adults with excess weight (overweight or obesity) with prediabetes/T2D who are not on diabetes medications. The study will involve both semi-controlled settings (where food intake and physical activity are controlled) and free-living conditions. Participants will: * Wear devices: Use a continuous glucose monitor and a circadian monitoring device for 14 days. * Attend clinical visits: Visit the Nutritional Intervention Unit (NIU) 4 times for body composition measurements, sample collection (blood, saliva a faeces) and to answer questionnaires. . * Participate in a 12.5-hours clinical visit day in the NIU under semi-controlled conditions, with the purpose of collecting blood samples before and after breakfast and saliva samples every 4 hours, covering a full 24-hour cycle. * Keep track of daily habits: Maintain their usual lifestyle while keeping a food diary and recording appetite related feelings.
Compelling evidence suggests that type 2 diabetes (T2D) can often be prevented by adopting healthy lifestyle. However, current standard recommendations may not fully account for individual differences, limiting their effectiveness. Factors such as genetics and daily lifestyle patterns influence how individuals respond to these recommendations. For example, disrupted sleep patterns or irregular eating schedules can make it difficult to maintain healthy habits, ultimately affecting blood glucose control. Such disruptions are associated with disturbances in the body's internal clock, also known as circadian rhythms. In this sense, chrono-disruption (i.e., disruption of circadian rhythms) has been shown to impair glucose metabolism. Individuals at high risk of T2D are characterized by loss of diurnal rhythmicity in the insulin oscillatory pattern. Similarly, recent studies suggest that disruptions in daily fluctuations of hormone levels, gene expression, microbiota composition, and metabolite profiles are associated with poorer blood glucose control. The present project relies on the hypothesis that individuals with excess weight and drug-naïve prediabetes or type 2 diabetes, compared to healthy individuals, exhibit a disruption of the circadian system. This is manifested by loss in daily oscillations and altered oscillatory patterns across multiple physiological processes, including hormone production, gene expression, microbiota composition and function, and metabolite composition and secretion. Chrono disruption contributes to the dysregulation of glucose metabolism, changes in appetite regulation and response to external cues and, consequently, impaired glycaemic control in this population. The Kronodiabet study is a 2-week observational study with two parallel study groups, matched by age and gender, according to the following conditions: adults with overweight or obesity and impaired glucose metabolism (drug-naive prediabetes or type 2 diabetes); and adults with normal weight and no alterations in glucose metabolism. Experimental design: Each participant, once recruited, will attend the NIU at the Center for Nutrition Research of the University of Navarra on 4 occasions. At visit 1 (V1), participants will come to the NIU and will be fitted with a continuous glucose monitoring sensor and a circadian monitoring device, which will be worn during the main study visit (V2) and the following 12 ± 2 full days (field period phase) and body composition will be analysed through dual energy x-ray absorptiometry (DEXA). At this visit (V1), participants will bring a stool sample collected no later than 48 hours prior to arrival at the NIU. In visit 2 (V2), lasting 12 hours and 30 minutes, participants will arrive to the NIU (where the entire visit will take place) after at least 8 hours of fasting. During this visit, participants will be provided with the meals to be consumed throughout the day and blood draws and completion of questionnaires will be carried out. In addition, 4 out of the 7 saliva samples required for the analysis of the oral microbiota, metabolome and gene and hormone determination will be collected every 4 hours. The remaining saliva samples (3/7) will be collected at home, until the 24-hour period is completed. On the following day (V3), participants will come back to the NIU to deliver the samples collected at home. In addition, they will be given the necessary material for the field study period. During the field phase (which will last 2 weeks) participants will be asked not to change their habitual lifestyle, including diet, exercise and timing. In the final visit (V4), body composition measurements will be taken and the circadian and glucose monitoring sensors and completed questionnaires will be collected, concluding the study. The specific objectives are: 1. To characterize the phenotype, behavioral traits and lifestyle habit, as well as the microbiome, metabolome and transcriptome in healthy individuals and individuals with overweight/obesity and drug-naïve prediabetes/type 2 diabetes. 2. To investigate, under free-living conditions, daily oscillations in glycaemia, food behavior and circadian parameters of the main circadian synchronizers. 3. To compare daily oscillations in oral microbiota and metabolome, along with daily oscillations of circadian markers, under semi-controlled conditions, between healthy individuals and individuals with overweight/obesity and drug-naïve prediabetes/type 2 diabetes. 4. To study, from an integrated perspective, daily oscillations in glycemic control, through the integration of omics (metagenomics, metabolomics), clinical and lifestyle data, in the absence and presence of excess weight and impaired glucose metabolism.
Study Type
OBSERVATIONAL
Enrollment
36
Center for Nutrition Research. University of Navarra
Pamplona, Navarre, Spain
Percentage coefficient of variation of intra-day glucose levels (%CV)
Measured by continuous glucose monitoring sensor during semi-controlled conditions in the main clinical investigation day (%)
Time frame: Clinical Investigation Day 2 (24-hours)
Glycaemic variation
Measured by continuous glucose monitor (FreeStyle Libre Pro, Abbott)
Time frame: 14 days
Glycated haemoglobin (HbA1c)
Blood samples, reported in % and in mmol/mol. For screening purposes, HbA1c will also be determined using capillary blood samples at the screening visit.
Time frame: Screening, Clinical Investigation Day 2
Fasting serum glucose
Serum samples, reported in mg/dl
Time frame: Screening, Clinical Investigation Day 2
Postprandial serum glucose
Serum samples, reported in mg/dl, collected every 30 minutes for 2 hours after consuming breakfast. iAUC will be calculated including blood sample collected at baseline.
Time frame: Clinical Investigation Day 2, blood samples taken every 30 min for 2 hours (4 timepoints in total)
Fasting serum insulin
Serum samples, reported in mU/L, determined by ELISA
Time frame: Clinical Investigation Day 2
Postprandial serum insulin
Serum samples, reported in mU/L, collected every 30 minutes for 2 hours after consuming breakfast, determined by ELISA. iAUC will be calculated including blood sample collected at baseline.
Time frame: Clinical Investigation Day 2, blood samples taken every 30 min for 2 hours (4 timepoints in total)
Fasting serum Peptide C
Serum samples, reported in ng/mL, determined by ELISA
Time frame: Clinical Investigation Day 2
Homeostasis Model Assessment for Insulin Resistance (HOMA-IR)
Calculated as (fasting basal insulin (mU/mL) x fasting glucose (mg/dL)/405
Time frame: Clinical Investigation Day 2
Fasting serum total cholesterol
Serum samples, reported in mg/dL
Time frame: Clinical Investigation Day 2
Fasting serum HDL cholesterol
Serum samples, reported in mg/dL
Time frame: Clinical Investigation Day 2
Fasting serum LDL cholesterol
Calculated using Friedewald's equation: total cholesterol - (triglycerides/5) - HDL-cholesterol
Time frame: Clinical Investigation Day 2
Fasting serum triglycerides
Serum samples, reported in mg/dL
Time frame: Clinical Investigation Day 2
Postprandial serum triglycerides
Serum samples, reported in mg/dL, collected every 30 minutes for 2 hours after consuming breakfast. iAUC will be calculated including blood sample collected at baseline.
Time frame: Clinical Investigation Day 2, blood samples taken every 30 min for 2 hours (4 timepoints in total)
Fasting serum alanine aminotransferase (ALT)
Fasting serum samples, reported in U/L
Time frame: Clinical Investigation Day 2
Fasting serum aspartate aminotransferase (AST)
Fasting serum samples, reported in U/L
Time frame: Clinical Investigation Day 2
Fasting serum gamma-glutamyl transferase (GGT)
Fasting serum samples, reported in U/L
Time frame: Clinical Investigation Day 2
Triglyceride-glucose index (TyG index)
Calculated using the following equation: Ln \[(fasting triglycerides) (mg/dL) x fasting glucose (mg/dL)\] / 2
Time frame: Clinical Investigation Day 2
Fatty Liver Index (FLI)
Calculated using the following equation: (e0.953×loge(triglycerides)+0.139×BMI+0.718×loge(GGT)+0.053×waistcircumference-15.745)/ (1 + e0.953×loge(triglycerides)+0.139×BMI+0.718×loge(GGT)+0.053×waistcircumference-15.745) × 100.
Time frame: Clinical Investigation Day 2
Fasting serum/plasma glucagon-like peptide-1 (GLP-1)
Serum/plasma samples, reported in pmol/L, determined by ELISA
Time frame: Clinical Investigation Day 2
Postprandial serum/plasma glucagon-like peptide-1 (GLP-1)
Serum/plasma samples, reported in pmol/L, collected every 30 minutes for 2 hours after consuming breakfast, determined by ELISA. iAUC will be calculated including blood sample collected at baseline.
Time frame: Clinical Investigation Day 2, blood samples taken every 30 min for 2 hours (4 timepoints in total)
Fasting serum/plasma ghrelin
Serum/plasma samples, reported in pmol/L
Time frame: Clinical Investigation Day 2
Postprandial serum/plasma ghrelin
Serum/plasma samples, reported in pmol/L, collected every 30 minutes for 2 hours after consuming breakfast, determined by ELISA. iAUC will be calculated including blood sample collected at baseline.
Time frame: Clinical Investigation Day 2, blood samples taken every 30 min for 2 hours (4 timepoints in total)
Fasting serum/plasma leptin
Serum/plasma samples, reported in ng/mL
Time frame: Clinical Investigation Day 2
Hemogram
Blood samples collected at fasting state
Time frame: Clinical Investigation Day 2
Daily rhythms of wrist temperature fragmentation
Wrist temperature will be measured using a circadian monitoring device (Kronowise 3.0) and the circadian parameter fragmentation will be calculated as intradaily variability.
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of wrist temperature regularity
Wrist temperature will be measured using a circadian monitoring device (Kronowise 3.0) and the circadian parameter regularity will be calculated as interdaily stability.
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of wrist temperature amplitude
Wrist temperature will be measured using a circadian monitoring device (Kronowise 3.0) and the circadian parameter amplitude will be calculated as relative amplitude and normalised relative amplitude.
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of circadian light exposure
Circadian light exposure intensity, expressed as lux, will be measured using a circadian monitoring device (Kronowise 3.0)
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of visible light exposure
Visible light exposure intensity, expressed as lux, will be measured using a circadian monitoring device (Kronowise 3.0)
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of activity
Activity, measured as acceleration, will be determined using a circadian monitoring device (Kronowise 3.0)
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Daily rhythms of time in movement
Time in movement will be determined using a circadian monitoring device (Kronowise 3.0)
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Integrated variable TAP (Temperature, Motor activity, Body Position)
TAP will be determined by integrating three simultaenous recordings: skin wrist temperature (T), motor activity (A) and body position (P) from a circadian monitoring device (Kronowise 3.0) to determine individual circadian system status (i.e., chronotype)
Time frame: Clinical Investigation Day 2 (24-hours) and 14 days (field phase)
Baseline and change from baseline in body weight at the end of the study
Measured by bioimpedance and reported in kg
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Height
Measured by stadiometer and reported in m
Time frame: Screening (V0) and Clinical Investigation Day 1 (V1)
Baseline and change from baseline in body mass index at the end of the study
Body mass index will be calculated as follows: weight (kilograms)/(height (m)\*height (m)), and expressed as kg/m2
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in body fat at the end of the study
Measured by bioimpedance and DXA (only at baseline) and reported in kg and percentage.
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in body fat-free mass at the end of the study
Measured by bioimpedance and DXA (only at baseline) and reported in kg.
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in lean mass at the end of the study
Measured by bioimpedance and DXA (only at baseline) and reported in kg.
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in body water at the end of the study
Measured by bioimpedance and reported in kg.
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in waist circumference at the end of the study
Measured in fasting condition using a measuring tape and reported in centimeters
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in hip circumference at the end of the study
Measured in fasting condition using a measuring tape and reported in centimeters
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Baseline and change from baseline in visceral fat level at the end of the study
Measured in fasting condition by bioimpedance and expressed as level (from 0 to 40).
Time frame: Clinical Investigation Day 2 (week 0) and Clinical Investigation Day 4 (week 2)
Android adipose tissue
Determined by DXA and expressed as percentage of total body fat and fat mass in grams.
Time frame: Clinical Investigation Day 1 (V1)
Gynoid adipose tissue
Determined by DXA and expressed as percentage of total body fat and fat mass in grams.
Time frame: Clinical Investigation Day 1 (V1)
Gynoid lean tissue
Determined by DXA and expressed as percentage of total lean mass and lean mass in grams.
Time frame: Clinical Investigation Day 1 (V1)
Android lean tissue
Determined by DXA and expressed as percentage of total lean mass and lean mass in grams.
Time frame: Clinical Investigation Day 1 (V1)
Ratio trunk/total fat mass
Determined by DXA and calculated as the ratio of trunk fat to total body fat.
Time frame: Clinical Investigation Day 1 (V1)
Ratio legs/total fat mass
Determined by DXA and calculated as the ratio of legs fat to total body fat.
Time frame: Clinical Investigation Day 1 (V1)
Visceral adipose tissue volume and mass
Determined by DXA and expressed as volume, in cm3, and mass, in grams.
Time frame: Clinical Investigation Day 1 (V1)
Salivary cortisol determinations
Saliva samples shall be collected every 4 hours for 24 hours, starting at 8 a.m. in the laboratory and ending at 8 a.m. the following day at home. Samples shall be collected by active salivation using a sample collection device, which contains a cotton swab.
Time frame: Clinical Investigation Day 2 (V2); saliva samples taken every four hour for 24 hours (7 time points in total)
Salivary melatonin determinations
Saliva samples shall be collected every 4 hours for 24 hours, starting at 8 a.m. in the laboratory and ending at 8 a.m. the following day at home. Samples shall be collected by active salivation using a sample collection device, which contains a cotton swab.
Time frame: Clinical Investigation Day 2 (V2); saliva samples taken every four hour for 24 hours (7 time points in total)
Oscillations in the expression of clock genes in saliva
Saliva samples shall be collected every 4 hours for 24 hours, starting at 8 a.m. in the laboratory and ending at 8 a.m. the following day at home. Samples shall be collected by passive drainage using a sample collection device, which contains a RNA/DNA preservative. Gene expression analyses will be performed by Real Time Polymerase Chain Reaction (RT-PCR) and quantified as relative expression compared to housekeeping genes.
Time frame: Clinical Investigation Day 2 (V2); saliva samples taken every four hour for 24 hours (7 time points in total)
Oral microbial community composition rhythmicity
Saliva samples shall be collected every 4 hours for 24 hours, starting at 8 a.m. in the laboratory and ending at 8 a.m. the following day at home. Samples shall be collected by passive drainage using a sample collection device, which contains a RNA/DNA preservative. Shotgun sequencing/16S sequencing will be performed for the metagenomic analysis and microbiota rhythmicity will be investigated.
Time frame: Clinical Investigation Day 2 (V2); saliva samples taken every four hour for 24 hours (7 time points in total)
Oral metabolite rhythmicity
Saliva samples shall be collected every 4 hours for 24 hours, starting at 8 a.m. in the laboratory and ending at 8 a.m. the following day at home. Samples will be collected by active salivation using a sample collection device, which contains a cotton swab. Oral metabolome profile will be assessed by broad-spectrum, untargeted metabolomics.
Time frame: Clinical Investigation Day 2 (V2); saliva samples taken every four hour for 24 hours (7 time points in total)
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