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Multi-omics Mechanisms of Lifestyle Intervention in Regulating Blood Glucose

Not Applicable
Not yet recruiting
Conditions
Diabetes
Registration Number
NCT07146308
Lead Sponsor
Shanghai 6th People's Hospital
Brief Summary

The mechanisms by which lifestyle interventions regulate blood glucose remain incompletely understood. Traditional research has predominantly focused on single targets or pathways, making it difficult to comprehensively elucidate the complex biological regulatory networks. This study systematically investigates the effects of lifestyle interventions on blood glucose and explores their molecular mechanisms. Through integrated multi-omics analysis-including genomics, proteomics, metabolomics, and microbiomics-investigators aim to identify key biological pathways and molecular targets through which dietary, exercise, and other lifestyle interventions influence glucose regulation, as well as discover biomarkers that reflect the efficacy of these interventions. Building upon these findings, investigators will establish a multi-omics molecular network model linking lifestyle interventions to glucose regulation and develop an auxiliary decision-making system for personalised diabetes diagnosis and treatment.

Detailed Description

Not available

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
200
Inclusion Criteria
  • Aged 18-70 years
Exclusion Criteria
  • Severe chronic diabetic complications or recent acute diabetic complications
  • Type 1 diabetes mellitus
  • Early-onset diabetes
  • Patients currently using insulin therapy
  • Recent severe hypoglycemic episodes
  • Secondary obesity
  • Pregnancy, severe hepatic/renal diseases, thyroid disorders, acute infections, psychiatric disorders, or other conditions that may interfere with study outcomes

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Post-intervention incremental area under the glucose curve (iAUC) measured by continuous glucose monitoring (CGM)4 weeks
Secondary Outcome Measures
NameTimeMethod
Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR) Measured by Continuous Glucose MonitoringBaseline and 4 weeks
Composite glucose metabolism profileBaseline and 4 weeks

A composite outcome summarizing glucose metabolism indicators, including:

HbA1c (%), Fasting plasma glucose (mmol/L), 60- and 120-minute plasma glucose during OGTT (mmol/L), Fasting and post-load insulin (μU/mL), Fasting and post-load C-peptide (ng/mL), Homeostatic Model Assessment of Insulin Resistance (HOMA-IR, index), etc.

Composite kidney function profileBaseline and 4 weeks

A composite outcome summarizing kidney function indicators, including:

Serum creatinine (mg/dL), Blood urea nitrogen (mg/dL), Estimated glomerular filtration rate (eGFR, mL/min/1.73m²), etc.

Composite liver function profileBaseline and 4 weeks

A composite outcome summarizing liver function biomarkers, including: Alanine aminotransferase (ALT, U/L), Aspartate aminotransferase (AST, U/L), Gamma-glutamyl transferase (GGT, U/L), Alkaline phosphatase (ALP, U/L), Total bilirubin (μmol/L), Albumin (g/L), etc.

Lipid profileBaseline and 4 weeks

Total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, etc.

Inflammatory markersBaseline and 4 weeks

High-sensitivity C-reactive protein, etc.

Retinopathy status (digital retinal fundus imaging)Baseline and 4 weeks

Retinopathy grading assessed by standardized digital retinal fundus images.

Composite dietary intake profileAt each meal, aggregated dayly, up to 28 days

A composite outcome summarizing dietary intake indicators, including:

Total daily energy intake (kcal), Macronutrient distribution and intake (percentage and intake (gram) of total energy from carbohydrate, protein, fat, etc.), Selected micronutrient intakes (mg/day), etc.

Composite physiological monitoring profile from wearablesDaily measurements, up to 28 days

This composite outcome includes multiple physiological parameters measured via wearable devices to assess rest and recovery status. The parameters include: Sleep duration (hours), Sleep stages (percent time in REM, deep, light), Respiratory rate (breaths per minute), Heart rate (n per minute), Other relevant physiologic signals (as available from device).

Lifestyle management-related parametersBaseline and 4 weeks

A structured lifestyle management questionnaire will be administered to assess multiple aspects of participants' personal health-related behaviours and preferences. This includes: food preference, exercise preference, past medical histories, health-related personal behaviours, etc.

Complete Blood CountBaseline and 4 weeks
Routine urine testBaseline and 4 weeks
Mean Glucose measured by continuous glucose monitoringBaseline and 4 weeks
Glucose Variability measured by continuous glucose monitoringBaseline and 4 weeks
Area Under the Curve (AUC) measured by continuous glucose monitoringBaseline and 4 weeks
Body weightBaseline, 1 week, 2 weeks, 3 weeks, 4 weeks

Body weight measured in kilograms using a calibrated digital scale.

HeightBaseline

Standing height measured in meters using a stadiometer.

BMIBaseline, 1 week, 2 weeks, 3 weeks, 4 weeks

Calculated as weight in kilograms divided by height in meters squared (kg/m²).

Waist, hip and thigh circumferenceBaseline, 4 weeks

Measured in centimeters

Systolic and Diastolic Blood PressureBaseline, 4 weeks

Systolic and diastolic blood pressure will be measured in millimeters of mercury (mmHg) using an automated sphygmomanometer. Participants will be seated quietly for at least 5 minutes before measurement, and two readings will be taken 1-2 minutes apart; the average will be recorded.

Resting heart rateBaseline, 4 weeks

Resting heart rate will be measured in beats per minute (bpm) using the automated sphygmomanometer's pulse reading or a validated heart rate monitor. Measurements will be taken in the seated position after at least 5 minutes of rest.

Genomic profilingBaseline and 4 weeks

Whole-genome sequencing for variant analysis.

Metabolomics profilingBaseline and 4 weeks

Untargeted metabolomics profiling using LC-MS/MS.

Proteomics profilingBaseline and 4 weeks

Quantitative proteomics using mass spectrometry.

Fecal MetagenomicsBaseline and 4 weeks

Shotgun metagenomic sequencing of fecal samples to characterize gut microbiome taxonomic composition and functional gene profiles.

Fecal MetabolomicsBaseline and 4 weeks

Untargeted metabolomics profiling of fecal samples using liquid chromatography-mass spectrometry (LC-MS/MS) to identify and quantify metabolites.

Lipidomics profilingBaseline and 4 weeks

Targeted lipidomics analysis of serum lipids using mass spectrometry to quantify lipid species and subclasses.

PBMC Multi-omics ProfilingBaseline and 4 weeks

Peripheral blood mononuclear cells (PBMCs) will be analyzed using multiple omics platforms to comprehensively profile molecular changes. Analyses will include:

Transcriptomics: Bulk RNA sequencing to quantify gene expression. Epigenomics: Genome-wide DNA methylation profiling using bisulfite sequencing. Phosphoproteomics: Quantitative analysis of phosphorylated proteins using mass spectrometry-based phosphoproteomics to assess signaling pathway activation.

Single-cell Transcriptomics: Single-cell RNA sequencing to characterize cell type-specific transcriptional changes.

Results from these platforms will be integrated to generate a composite PBMC multi-omics dataset.

Glycemic Excursions Composite Score from Continuous Glucose MonitoringBaseline and 4 weeks

Glycemic excursions will be evaluated using a composite measure derived from continuous glucose monitoring (CGM) data. The composite score will integrate multiple CGM-derived metrics, including:

Mean glucose (mg/dL) Standard deviation of glucose (mg/dL) Coefficient of variation (%) Mean amplitude of glycemic excursions (MAGE, mg/dL)

Exercise heart rateEach exercise session, aggregated daily up to 28 days

Average heart rate during each exercise session.

Exercise frequencyEach exercise session, aggregated daily up to 28 days

Number of completed exercise sessions.

Energy expenditure per sessionEach exercise session, aggregated daily up to 28 days

Energy expenditure estimated by wearable device.

Exercise durationEach exercise session, aggregated daily up to 28 days

Duration of each exercise session.

Number of sets and repetitionsEach exercise session, aggregated daily up to 28 days

Total sets and repetitions performed during exercise.

Exercise intensity/loadEach exercise session, aggregated daily up to 28 days

Intensity or load during exercise session (self-reported using Borg RPE scale or device-recorded).

Excess post-exercise oxygen consumptionEach exercise session, aggregated daily up to 28 days

Post-exercise oxygen consumption recorded by wearable device.

Fat massBaseline, 1 week, 2 week, 3 week, 4 week

Total fat mass measured by bioelectrical impedance analysis.

Fat-free massBaseline, 1 week, 2 week, 3 week, 4 week

Fat-free mass measured by bioelectrical impedance analysis.

Body fat percentageBaseline, 1 week, 2 week, 3 week, 4 week

Percentage of total body weight as fat.

Visceral fat areaBaseline, 1 week, 2 week, 3 week, 4 week

Estimated visceral fat area.

Muscle massBaseline, 1 week, 2 week, 3 week, 4 week

Skeletal muscle mass measured by bioelectrical impedance analysis.

Trial Locations

Locations (1)

Shanghai Sixth People's Hospital

🇨🇳

Shanghai, Shanghai Municipality, China

Shanghai Sixth People's Hospital
🇨🇳Shanghai, Shanghai Municipality, China
Huating Li, Professor
Contact
+86-17749716891
huarting99@sjtu.edu.cn

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