Skip to content

The Metabolic Syndrome Among Leukemia Survivors: Physiopathological Analysis

The Metabolic Syndrome Among Childhood Acute Leukemia Survivors: Physiopathological Analysis

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02696304
Acronym
LEAMS
Enrollment
30
Registered
2016-03-02
Start date
2015-05-31
Completion date
2016-12-31
Last updated
2016-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Metabolic Syndrome X

Brief summary

Along with the improvement of childhood acute leukemia treatment, survival rates have increased. Therefore, the number of long term childhood leukemia survivors has increased progressively over the last decades. So, the assessment of long term health status in this population becomes very important. Many studies have shown an increased risk of life threatening late complications and early mortality. Cardiovascular morbidity and mortality are particularly frequent. Among these late complications, the metabolic syndrome (MS) is an important concern since it is associated with cardiovascular morbidity and mortality. The overall MS prevalence in the French prospective cohort of survivors of childhood acute leukemia was 9.2% and 18.6% in cases of total body irradiation (TBI) during the leukemia treatment. Since the median age at MS evaluation was 21 years, this prevalence was very high. Anyway, the MS pathophysiology in this population is still poorly understood. One of the most recent hypothesis about the MS mechanism is based on the adipose tissue inability to store fatty acids: when adipose tissue cannot expanse further to store excess nutriments then lipids accumulate in other tissues. This ectopic lipids accumulation can cause insulin resistance and MS. The investigators hypothesized that the adipose tissue could be damaged by treatments received during childhood acute leukemia treatment (particularly TBI). This leads to morphological and functional abnormalities that could promote the insulin resistance and MS. This ectopic adipose tissue contains less preadipocytes, which could impair its functional properties. The primary endpoint of this study is to compare the morphological and functional characteristics of adipose tissue in patients with a MS who received or not TBI during childhood leukemia treatment . This comparison will focus on: * The adipose tissue repartition and evaluation of the ectopic adipose tissue * Fibrosis and inflammation of the adipose tissue * Preadipocytes quantification The secondary endpoint is to describe: * for the whole cohort of included patients, * the clinical and biological characteristics associated with the MS. * Cardiovascular risk factors and nutritional statement * Anthropometric measurements * Detection of other endocrinal abnormalities possibly associated with the MS * Analysis of inflammation blood markers and adipokines quantification.

Detailed description

Enroled patients (both groups) will be evaluated for the following criteria. Then, a comparison between both groups will be performed. 1\. Primary endpoint: the following factors will be studied, and compared between both groups (with or without TBI): * Adipose tissue repartition using biphotonic absorptiometry and abdominal MRI * Ectopic adipose tissue evaluation (visceral and hepatical) using MRI and proton spectroscopy * Adipose tissue inflammation (using PCR array) : quantification of the following biomarkers: alpha TNF, IL6, IL1beta, IL10, MCP1, leptine and adiponectine * Adipose tissue fibrosis (PCR array): quantification of the following markers of fibrosis: Col 1a1, Col 3a1, Col 6a1, Col 6a3, Tenascin C, Lumican, TGF beta * Preadipocytes quantification in the adipose tissue (immunohistochemistery) Concerning the secondary endpoints, the following points will be studied : * Cardiovascular risk factors and nutritional statement * Anthropometric measurements * Other endocrinal abnormalities possibly associated with the MS * Analysis of inflammation blood markers and adipokines quantification.

Interventions

OTHERAdipose tissu repartition

absorptiometry,

OTHERVisceral and liver adipose tissue repartition

MRI,spectroscopy,

OTHERPreadipocyte quantification and adipose tissue inflamation

biopsy

OTHERInflamation blood markers quantification

blood drawn,

Sponsors

Assistance Publique Hopitaux De Marseille
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age superior or equal to 18 years * Metabolic syndrome: at least 3 criteria among the following: 1. Waist circumference ≥ 102 cm for male and ≥ 88 cm for female) 2. High triglyceride level ≥ 150 mg/dl (1,7 mmol/l) or undergoing treatment for that affection 3. Low HDL-Cholesterol \< 40 mg/dl (1,03 mmol/l) for male ; \< 50 mg/dl (1,3 mmol/l) for femal, or undergoing treatment for that affection 4. Elevated blood pressure: systolic ≥ 130 mmHg and/or diastoloic ≥ 85 mmHg or undergoing treatment for that affection 5. Elevated fasten glucose≥ 100 mg/dl or undergoing treatment for that affection * Acute leukemia during childhood (under 18 years of age at the time of leukemia diagnosis) * Informed consent obtained

Exclusion criteria

* pregnancy * incomplete evaluation of metabolic syndrome

Design outcomes

Primary

MeasureTime frame
Percent of fat mass (Biphotonic absorptiometry)1 year
Evaluation of the amount of intra liver and pancreatic triglycerides (%) (proton spectroscopy, expressed as percent related to liver or pancreatic water content)1 year
Fibrosis and inflammation analyses of the adipose tissu : fibrosis and inflammation gene expression analyses by RQ-PCR1 year
Preadipocytes quantification in the adipose tissue by immunohistochemistery, expressed as percent of stroma vascular fraction of the adipose tissue1 year

Countries

France

Contacts

Primary ContactClaire OUDIN, MD
claire.oudin@ap-hm.fr

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026