Insulin Resistance
Conditions
Keywords
Insulin Resistance, Brain metabolism, PET, MRI
Brief summary
The purpose of this study is to investigate whether higher insulin resistance in young women with Polycystic ovary syndrome (PCOS) is associated with reduced cerebral metabolic rate of glucose (CMRglu). Brain volumes using magnetic resonance imaging (MRI) and quantitative cerebral glucose uptake using dynamic positron emission tomography (PET) were obtained.
Detailed description
MRI and FDG PET scan for each participant were obtained within an average time frame of 3 weeks. Isulin resistance were assessed with the updated homeostasis model assessment (HOMA2-IR).
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Diagnosis of PCOS * Age ≤ 35 y * BMI ≤ 35
Exclusion criteria
* Taking medications for diabetes or insulin-sensitizing drugs * Drug addictions * Psychiatric illness * Smoking * Overt evidence of heart, liver or renal disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Global Brain Glucose PET Uptake | Single point in time (day 1) | Global brain glucose uptake was quantified using FDG with dynamic positron emission tomography. |
| Brain MR Volumes | Single point in time (day 2) | T1-weighted brain MR images were obtained on a 1.5 Tesla scanner. Regional volumes were determined using FreeSurfer Suite 5.0 software. |
| Insulin Resistance (HOMA2-IR) | Single point in time (day 1 during the FDG PET) | The homeostasis model assessment computational method was used to estimate insulin resistance (HOMA2-IR) from fasting plasma glucose and insulin. The HOMA2-IR is the reciprocal of insulin sensitivity (%S), as a percentage of a normal reference population (normal young adult). A higher score indicates a lower insulin sensitivity. |
Participant flow
Recruitment details
Women with PCOS diagnosed during a clinical examination using the Rotterdam criteria were recruited.
Participants by arm
| Arm | Count |
|---|---|
| POLYCYSTIC OVARY SYNDROME (PCOS) Women with PCOS diagnosed during a clinical examination using the Rotterdam criteria.
PET and MRI exams: FDG PET scan and T1-weight MRI were obtained within an average time frame of 3 weeks. | 7 |
| Total | 7 |
Baseline characteristics
| Characteristic | POLYCYSTIC OVARY SYNDROME (PCOS) |
|---|---|
| Age, Continuous | 25 years STANDARD_DEVIATION 6 |
| Sex: Female, Male Female | 7 Participants |
| Sex: Female, Male Male | 0 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 0 |
| other Total, other adverse events | 0 / 0 |
| serious Total, serious adverse events | 0 / 0 |
Outcome results
Brain MR Volumes
T1-weighted brain MR images were obtained on a 1.5 Tesla scanner. Regional volumes were determined using FreeSurfer Suite 5.0 software.
Time frame: Single point in time (day 2)
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Polycystic Ovary Syndrome (PCOS) | Brain MR Volumes | Superior frontal cortex | 22.6 ml | Standard Deviation 2 |
| Polycystic Ovary Syndrome (PCOS) | Brain MR Volumes | Supramarginal cortex | 10.3 ml | Standard Deviation 1.4 |
Global Brain Glucose PET Uptake
Global brain glucose uptake was quantified using FDG with dynamic positron emission tomography.
Time frame: Single point in time (day 1)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Polycystic Ovary Syndrome (PCOS) | Global Brain Glucose PET Uptake | 34.9 umol/100 g/min | Standard Deviation 3 |
Insulin Resistance (HOMA2-IR)
The homeostasis model assessment computational method was used to estimate insulin resistance (HOMA2-IR) from fasting plasma glucose and insulin. The HOMA2-IR is the reciprocal of insulin sensitivity (%S), as a percentage of a normal reference population (normal young adult). A higher score indicates a lower insulin sensitivity.
Time frame: Single point in time (day 1 during the FDG PET)
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Polycystic Ovary Syndrome (PCOS) | Insulin Resistance (HOMA2-IR) | 0.7 HOMA2-IR score | Standard Deviation 0.3 |