ClinicalTrials.gg
Active, not recruitingNCT03362554Updated Nov 28, 2023

Identification of New Biomarkers of Insulin Resistance

An interventional study of Controlled diet and exercise. in Insulin Resistance, Diabetes Mellitus, Type 2 and Inflammation, sponsored by University of Bath. Active, not recruiting at 1 site in United Kingdom. Open to participants aged 40 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-11-28.

Sponsored by University of Bath · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Primary completion was expected by Jan 2024, 2 years 9 months ago, but the record still lists the study as active, not recruiting.
Phase
Not applicable
Study type
Interventional
Enrollment
30
Allocation
Randomized
Ages
40 Years to 65 Years
Sex
All
01

Study summary

Diabetes is a chronic metabolic disease affecting 415 million people worldwide, 90% of cases are type 2 which is frequently associated with obesity and a sedentary lifestyle. In healthy individuals, insulin stimulates increased cell surface expression of a glucose transporter (GLUT4) in muscle and fat tissue. This prevents blood sugar levels becoming dangerously high by taking sugar into the muscle and fat cells. Loss of this response ('insulin resistance') frequently occurs before the development of type 2 diabetes. Understanding the cell biology of insulin resistance is necessary to develop more effective treatments for this condition and prevent further cases of type 2 diabetes. Previous work showed that this movement of GLUT4 is dependent on a small protein called Rab3 which is downregulated in insulin resistance. Rab3 protein levels are also sensitive to inflammation, a state that is exacerbated by obesity.

In order to examine whether Rab3 is an early biomarker of insulin resistance, we aim to measure the levels of this protein and its interactors in fat and muscle samples from insulin resistant individuals. It has been shown that insulin sensitivity can be improved with an intervention as short as three weeks when net energy intake is sufficiently reduced. Therefore, by taking the same measurements before and after this three week intervention we can observe any improvements in Rab3 expression and insulin sensitivity at a cellular level.

There is also evidence for an effect of the gut microbiome on insulin sensitivity so we will measure any changes that take place in the gut microbiome following this intervention, which can be determined from faecal samples taken before and after the three weeks.

Read the detailed description

Diabetes is a chronic metabolic disease affecting 415 million people worldwide and 3.5 million people in the UK, with ninety percent suffering from type 2 diabetes. Type 2 diabetes is characterised by the inability of muscle and fat tissues to adequately respond to physiological levels of insulin (peripheral tissue insulin resistance), and to restore the normal levels of sugars in the bloodstream. Insulin resistance may occur prior to the development of type 2 diabetes and has been shown to be strongly linked to lifestyle and to obesity, although the underlying mechanisms are incompletely resolved. A defining characteristic of insulin resistance is abnormal glucose transport as a result of decreased cell surface expression of the glucose receptor GLUT4. In healthy adipose and skeletal muscle this receptor is trafficked to the cell surface in response to an insulin stimulus. We have shown that this translocation to the cell membrane requires the protein Rab3, and expression levels of this protein are reduced in cell models of insulin resistance.

We hypothesise that this downregulation of Rab3 is associated with the development of insulin resistance and its activity would increase following the restoration of insulin sensitivity. The primary aim of this study is to examine the effect on Rab3 levels and GLUT4 trafficking of a diet and exercise intervention that has been previously shown to increase insulin sensitivity. Additionally, the gut microbiome will be studied before and after the intervention to determine any relationship to insulin sensitivity. Recent evidence suggests the microbiome has a significant role in the development of insulin resistance through a number of potential mechanisms. Infusion of microbiota from lean donors has been shown to result in improved insulin sensitivity in male recipients with metabolic syndrome, with concomitant increases in the prevalence of butyrate-producing intestinal microbiota. Exercise is associated with greater microbial diversity, including increases in butyrate-producing microbes. No study to date has monitored insulin sensitivity and microbiota composition before and after an exercise and diet intervention, and so this will lead to a better understanding of the mechanisms that lead to insulin resistance and subsequently type 2 diabetes.

The study participants will include males and females aged between 40-65 years who fit the criteria for inclusion. After monitoring of normal daily activities for 7 days, volunteers will reduce their calorie intake by 5000 kcal/week and take part in 5 weekly exercise sessions for 3 weeks. Participants will attend one session of laboratory testing before and one after this period which will take place at the University of Bath. This intervention should be sufficient to improve insulin sensitivity and allow us to study the cellular changes that will have taken place during this time.

02

Conditions studied

  • Insulin Resistance
  • Diabetes Mellitus, Type 2
  • Inflammation
  • Gastrointestinal Microbiome

Keywords

  • Insulin
  • Glucose
  • Rab3
03

In context

Insulin Resistance

2,969 studies on the registry are indexed under Insulin Resistance; 338 are open to participants now.

This study's enrollment of 30 is below the median of 40 across 2,369 interventional studies indexed under Insulin Resistance.

Browse Insulin Resistance studies →

Lead sponsor

University of Bath is the lead sponsor of 94 studies on the registry; 20 are open to participants now.

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

04

Who can participate

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

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Male or female
  • Age 40-65
  • ≥25 to ≤ 40 kg/m2
  • Physical activity level \<1.75 (daily average)
  • Waist size >80 cm (female) or >94 cm (male)
  • Weight stable for >3 months

Exclusion criteria

Exclusion Criteria:

  • Inability to undertake exercise as determined by PAR-Q
  • Diagnosed diabetes
  • Ongoing or planned lifestyle changes (diet/exercise)
  • Recent large shift in bodyweight (>2.5%) within the last 3 months?
  • Smoker (or having ceased \<6mo ago)
  • Metabolic disorders
  • Hypertension defined as >160/100
  • Use of anti-inflammatory medication: NSAIDs
  • Cardiovascular disease
  • Any bleeding disorder or taking anticoagulant medication
  • Use of antibiotics within the last three months
  • Use of pro/pre-biotics within one month of first trial day.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
30 participants (actual)

Study arms

  • Experimental
    Intervention

    Behavioral: Controlled diet and exercise.

  • No intervention
    Control

Interventions

  • BehavioralControlled diet and exercise.

    The intervention will involve 3 weeks of a diet and exercise program designed to cause a net energy decrease of 7000 kcal/week compared to habitual behaviour. This will be achieved through: * Five exercise sessions per week at 70% VO2 max, using 400 kcal per session. * Reduction of their standard diet by 5000 kcal per week Before and after this intervention period participants will take part in a trial day which includes measurement of body composition (using DEXA) and blood sugar control (oral glucose tolerance test). Samples of blood, adipose, skeletal muscle and faeces will also be taken.

06

What researchers measure

Primary outcomes

  1. Change in insulin sensitivity

    Response to oral glucose tolerance test

    Time frame: 120 min (change after 3 weeks)

Secondary outcomes

  1. Rab3 protein expression

    Levels of Rab3 in adipose and muscle samples

    Time frame: Change after 3 weeks

  2. GLUT4 pathway protein expression

    Expression levels of GLUT4 pathway proteins in adipose and muscle samples

    Time frame: Change after 3 weeks

  3. Metabolic markers

    Levels of circulating metabolic markers implicated in insulin resistance

    Time frame: Change after 3 weeks

  4. Inflammatory markers

    Levels of circulating inflammatory cytokines

    Time frame: Change after 3 weeks

  5. Gut microbiome

    Species of microorganisms present in fecal samples

    Time frame: Change after 3 weeks

  6. Body composition

    Assessed by whole body DEXA scan

    Time frame: Change after 3 weeks

  7. Waist circumference

    Time frame: Change after 3 weeks

  8. Body mass

    Time frame: Change after 3 weeks

07

Study locations

1 site
08

References and documents

Publications

  • DiabetesUK, Facts and Stats. 2016: https://diabetes-resources-production.s3-eu-west-1.amazonaws.com/diabetes-storage/migration/pdf/DiabetesUK_Facts_Stats_Oct16.pdf.
  • Kahn BB, Flier JS. Obesity and insulin resistance. J Clin Invest. 2000 Aug;106(4):473-81. doi: 10.1172/JCI10842. No abstract available. PubMed 10953022 ↗
  • Koumanov F, Pereira VJ, Richardson JD, Sargent SL, Fazakerley DJ, Holman GD. Insulin regulates Rab3-Noc2 complex dissociation to promote GLUT4 translocation in rat adipocytes. Diabetologia. 2015 Aug;58(8):1877-86. doi: 10.1007/s00125-015-3627-3. Epub 2015 May 30. PubMed 26024738 ↗
  • Walhin JP, Dixon NC, Betts JA, Thompson D. The impact of exercise intensity on whole body and adipose tissue metabolism during energy restriction in sedentary overweight men and postmenopausal women. Physiol Rep. 2016 Dec;4(24):e13026. doi: 10.14814/phy2.13026. PubMed 28039399 ↗
  • Utzschneider KM, Kratz M, Damman CJ, Hullar M. Mechanisms Linking the Gut Microbiome and Glucose Metabolism. J Clin Endocrinol Metab. 2016 Apr;101(4):1445-54. doi: 10.1210/jc.2015-4251. Epub 2016 Mar 3. Erratum In: J Clin Endocrinol Metab. 2016 Jun;101(6):2622. doi: 10.1210/jc.2016-2006. PubMed 26938201 ↗
  • Vrieze A, Van Nood E, Holleman F, Salojarvi J, Kootte RS, Bartelsman JF, Dallinga-Thie GM, Ackermans MT, Serlie MJ, Oozeer R, Derrien M, Druesne A, Van Hylckama Vlieg JE, Bloks VW, Groen AK, Heilig HG, Zoetendal EG, Stroes ES, de Vos WM, Hoekstra JB, Nieuwdorp M. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. 2012 Oct;143(4):913-6.e7. doi: 10.1053/j.gastro.2012.06.031. Epub 2012 Jun 20. Erratum In: Gastroenterology. 2013 Jan;144(1):250. PubMed 22728514 ↗
  • Campbell SC, Wisniewski PJ 2nd. Exercise is a Novel Promoter of Intestinal Health and Microbial Diversity. Exerc Sport Sci Rev. 2017 Jan;45(1):41-47. doi: 10.1249/JES.0000000000000096. PubMed 27782912 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Feb 2018 (actual). Primary completion is estimated for Jan 2024, 71 months after the start.

Of 714 non-industry interventional studies with no phase under Insulin Resistance, half reached primary completion within 22 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 41. This study's planned 71 months is above that.

Counting every sponsor, half of 754 studies reached it within 21 months; a quarter within 9 and three quarters within 40.

How these figures are worked out, and which studies are left out of them.

Registered
Nov 29, 2017
First posted
Dec 5, 2017
StartActual
Feb 1, 2018
Primary completionEst.
Jan 31, 2024
CompletionEst.
Jan 2028
Last update
Nov 28, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Nov 28, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03362554
Lead sponsor
University of Bath
Collaborators
Teagasc
Responsible party
Francoise Koumanov (Lecturer, University of Bath) — Principal investigator
First posted
Dec 5, 2017
Start date
Feb 1, 2018
Primary completion
Jan 31, 2024 (estimated)
Completion
Jan 2028 (estimated)
Last update
Nov 28, 2023

Study contacts

Francoise Koumanov, PhD
principal investigator · University of Bath

Oversight

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

Not currently enrolling

This study is active, not recruiting, as verified in Nov 2023. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion