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Endothelial Function in Obese Adolescents

Montefiore Medicine Academic Health System logo

Montefiore Medicine Academic Health System

Status

Completed

Conditions

Insulin Resistance
Obesity
Atherosclerosis
Glucose Intolerance

Treatments

Other: Reactive hyperemia peripheral artery tonometry (Rh-PAT)
Other: Blood levels for glucose, insulin, lipids and adipocytokines

Study type

Interventional

Funder types

Other

Identifiers

NCT01879033
09-07-219E

Details and patient eligibility

About

Childhood obesity is perhaps the most significant public health problem in the most developed countries and is rapidly becoming so in developing countries. National Health and Nutrition Examination Survey data shows a 3-fold increase in the prevalence of obesity in childhood, over past few decades. Furthermore, childhood obesity has markedly contributed to the prevalence of the metabolic syndrome and type 2 diabetes in U.S. children. Alarmingly, there is increasing evidence that atherosclerosis develops silently during childhood in obese children. In the Bogalusa Heart Study, pediatric autopsy studies showed a clear relationship between the number and severity of risk factors, principally obesity, with atherosclerosis in both the aorta and coronary arteries. Increased intimal medial thickness (IMT) was not present among obese adults who had been normal weight as children, emphasizing the cumulative effects of childhood obesity persisting into adulthood. Thus, the need for primary prevention of cardiovascular disease beginning in childhood is strongly suggested.

Full description

Following informed consent, a detailed history and physical examination will be performed including supine blood pressure taken twice after a 20 minute period of rest, height (using Harpenden stadiometer) to the nearest 0.1 cm and weight will be measured to the nearest 0.1 kg with a balance scale, pubertal staging using the method of Marshall and Tanner, waist measurement obtained at the minimal circumference of the abdomen, hip measurements with a plastic tape while the subject is standing and recorded at the widest diameter over the greater trochanters. BMI (kg/m2) and waist to hip ratio will be calculated. Screening labs in all recruited subjects: A fasting laboratory evaluation will include chemistry panel (basic metabolic, liver function tests), Complete Blood Count (CBC), lipid profile, urinalysis and HbA1c. All obese recruited subjects after a 12 hour fast will undergo an OGTT using a glucose load of 1.75 g/kg body weight with a maximum of 75 g. Blood samples will be collected for insulin, glucose, leptin, adiponectin, High sensitive C-reactive protein (hsCRP) and Free Fatty Acids (FFA). Serum and urine will be stored at -70 (degree Centigrade)C for measuring markers of oxidative stress and adipocytokines (including Tumor Necrosis Factor (TNF)-α, Plasminogen Acivator Inhibitor (PAI)-1) for future studies depending on the funding availability.

Subjects who fulfill the study criteria would be admitted to Clinical Research Center to evaluate endothelial function by RH-PAT.

RH-PAT for endothelial function Reactive hyperemia peripheral arterial tonometry (RH-PAT) is a noninvasive technique used to assess peripheral microvascular endothelial function by measuring changes in digital pulse volume during reactive hyperemia (Bonetti, Kuvin). Pulse volume is measured by a finger plethysmographic device that allows isolated detection of pulsatile arterial volume changes, which are sensed by a pressure transducer and transferred to a computer where the signal is amplified, displayed and stored (EndoPAT, Itamar Medical). Studies are performed with the patient at rest, in a comfortable, thermo neutral environment. Fingertip probes are placed on the index finger of both hands and 5 minutes of baseline recording are obtained. Blood flow is then occluded in one arm for 5 minutes, using a standard blood pressure cuff. Recording continues in both fingers during occlusion and for 5 minutes after release of the cuff. The RH-PAT index is calculated as the ratio of the average pulse amplitude in the post-hyperemic phase divided by the average baseline amplitude, with normalization to the signal in the control arm to compensate for any systemic changes.

Enrollment

60 patients

Sex

All

Ages

12 to 18 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Children in the age range of 12-18 years
  • For the lean group, age and sex matched subjects with BMI between 5th-85th percentiles
  • Obese group defined as BMI ≥95th percentile. These will further be subgrouped into those with normal and those with abnormal glucose tolerance normal glucose tolerance (NGT) defined as fasting glucose level<100mg/dl and a 2 hour postprandial glucose level<140mg/d and abnormal OGTT defined as fasting level ≥100mg/dl and/or 2hr ≥140 using a glucose load of 1.75 g/kg body weight (max 75 g).Hence, we will

Exclusion criteria

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

60 participants in 2 patient groups, including a placebo group

Obese adolescents
Active Comparator group
Description:
Those with BMI more than or equal to 95th percentile. This group was further divided into two subgroups on the basis of Oral Glucose Tolerance Test (OGTT) into normal and impaired glucose tolerance groups. Reactive hyperemia peripheral artery tonometry (Rh-PAT)score and blood levels for glucose, insulin, lipids and adipocytokines will be measured in the study.
Treatment:
Other: Reactive hyperemia peripheral artery tonometry (Rh-PAT)
Other: Blood levels for glucose, insulin, lipids and adipocytokines
Lean adolescents
Placebo Comparator group
Description:
BMI between 5th-85th percentile.Reactive hyperemia peripheral artery tonometry (Rh-PAT)score and blood levels of glucose, insulin, lipids and adipocytokines will be measured in the study.
Treatment:
Other: Reactive hyperemia peripheral artery tonometry (Rh-PAT)
Other: Blood levels for glucose, insulin, lipids and adipocytokines

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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