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UnknownNCT00566566

Adipokines as Predictors of the Metabolic Syndrome in ALL Survivors

Adipocytokines as Predictors of the Metabolic Syndrome in Survivors of Childhood Acute Lymphoblastic Leukemia

Status
Unknown
Phase
Study type
Observational
Enrollment
150 (estimated)
Sponsor
Sheba Medical Center · Other Government
Sex
All
Age
6 Years – 45 Years
Healthy volunteers
Not accepted

Summary

Background: Acute Lymphoblastic Leukemia (ALL) is the most common malignancy in children. It accounts for 25% of all childhood cancers. Peak incidence occurs between 2 to 5 years of age. Modern treatment regimens have improved cure rates from virtually zero (in the 1950's) to current overall survival rates of approximately 80%.The high survival rates have introduced us to novel medical problems as a consequences of the different treatment regimens. No single treatment modality exists today but rather several treatment protocols are accepted worldwide. As such, the population of the childhood ALL survivors differ in their toxic exposure: cranial \& spinal radiotherapy, intrathecal and/or systemic chemotherapy and bone marrow transplantation .As the survival rates grow, there are more young adult ALL survivors worldwide susceptible to these late effects of treatment. Numerous reports have pointed out that this particular group is at increased risk to develop cardiovascular disease (CVD) and diabetes (MS). The metabolic syndrome, i.e hypertension, dyslipidemia, impaired glucose metabolism and obesity, occurs at a younger age than the general population. Adipocytokines, mediators secreted by adipose tissue, play an important role in the regulation of carbohydrates and lipid metabolism.Changes in serum adipokine levels precede the clinical symptoms. We aim to identify and assess prevalence of the MS in ALL survivors. We aim to characterize the population at risk to develop DM and CVD prior to overt clinical disease. Characterization will be done by measuring serum adipocytokines and inflammatory cytokine profiles .Biochemical characterization of the group at risk will enable us to intervene in the preventive stage in the future.

Conditions

Interventions

TypeNameDescription
OTHERsample without DNAfamily history, anthropometric measurements and blood sampling

Timeline

Start date
2008-01-01
Completion
2008-12-01
First posted
2007-12-03
Last updated
2007-12-03

Source: ClinicalTrials.gov record NCT00566566. Inclusion in this directory is not an endorsement.