Adipocyte, Insulin-resistance and Immunity : Evaluation of Interleukin-7 in Lipodystrophy, Diabetes and Obesity

NCT ID: NCT01784289

Last Updated: 2017-02-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

126 participants

Study Classification

OBSERVATIONAL

Study Start Date

2010-06-30

Study Completion Date

2015-06-30

Brief Summary

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White adipose tissue-related diseases spread from excess (obesity) to lack (lipoatrophies) through aberrant distribution (lipodystrophies), these 3 different disorders being paradoxically able to induce a metabolic insulin resistance syndrome. The respective part of quantitative and qualitative anomalies of adipose tissue, gluco- and lipo-toxicity, liver and muscle insulin resistance, low-grade fat inflammation and immune alterations are not perfectly understood in the metabolic syndrome yet. Therefore, the aim of this study is to assess different cytokines, especially interleukin 7, and metabolic parameters as well as fat mass distribution with DEXA and RMN, in different models of fat distribution, including normal-weight, obese and lipodystrophic patients. A plasma serum, gene and adipose tissue bank will be constituted at the same time to improve our knowledge in disorders linking fat mass, insulin resistance and immunity, especially in lipodystrophies, a rare monogenic model of insulin resistance.

Detailed Description

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Rational: In reason of its ability to store fatty acids and to secrete numerous pro-inflammatory cytokines, the adipocyte appears as a key cell in the regulation of energy metabolism and immune response. Moreover, it has been recently shown that adipocytes play a role in the recruitment of cells involved in innate and adaptive immunity in adipose tissue.

White adipose tissue-related diseases are numerous, spreading from excess (obesity) to a complete (lipoatrophies) or partial lack (lipodystrophies), these 3 different disorders being paradoxically able to induce a metabolic insulin resistance syndrome.

Among the involved cytokines, interleukin-7 (IL-7), mostly known for its immune functions, also participates to the quantitative and qualitative balance of fat mass. Thus, IL-7 over-expression in an animal model induces a lipodystrophic syndrome with insulin resistance whereas in humans, a preliminary study shows that LMNA-linked lipodystrophies are associated with an increase of blood IL-7 levels. IL-7 also participates to reactivation of autoimmunity in patients suffering from auto-immune type 1 after islet transplantation.

Therefore, the aim of this study is to assess different cytokines, especially interleukin 7, and metabolic parameters levels as well as fat mass distribution, in different models of fat distribution, including normal-weighed, obese and lipodystrophic patients. A plasma serum, gene and tissue bank will be constituted in order to improve our knowledge in disorders linking fat mass, insulin resistance and immunity, especially in lipodystrophies, a rare monogenic model of insulin resistance.

Patients: The included patients correspond to subjects of either normal body weight, or obese, or suffering from lipodystrophic syndrome, whatever their type 2 diabetes status.

Methods: Blood IL-7 levels, other immune and/or pro-inflammatory cytokines, lymphocytes immuno-phenotype as well as metabolic parameters will be characterized. Fat mass will be assessed with non-invasive methods (DEXA and RMN). A plasma, serum and gene bank will be constituted. As well as an adipose tissue bank in patients who will have a surgery (especially plastic surgery in lipodystrophic patients), in order to cryo-preserve it and to define the inflammatory status of this tissue thanks to histological and molecular analysis.

Main judgment criteria: The main judgment criteria will be IL-7 blood levels in the different groups according to fat mass and metabolic parameters. The hypothesis is that in humans the quantitative and /or qualitative disturbances of adipose tissue are associated with an increase of IL-7 levels and the development of insulin-resistance.

Awaited results and possible implications: this study will allow to better delineate the immune and inflammatory component associated with alterations of fat mass distribution and glucose metabolism. Our approach combining clinical investigation and ex vivo and laboratory analysis is original and should allow to better understand the cellular mechanisms responsible for the inflammatory process originated in white adipose tissue and accompanying the disorders of this tissue- more especially lipodystrophic syndromes - opening new therapeutic perspectives in common human diseases (obesity, diabetes) on the one hand, and a rare disease (lipodystrophy) on the other hand.

Conditions

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Lipodystrophy Obesity Type 2 Diabetes

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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normal

Patients with no overweight and no type 2 diabetes

No interventions assigned to this group

lipodystrophy

patients with a lipodystrophy, most are diabetics

No interventions assigned to this group

obese non diabetics

Patients with obesity (BMI \<30kg/m2), without diabetes

No interventions assigned to this group

obese diabetics

Patients with obesity (BMI \<30 kg/m2), with diabetes

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Male and Female
* More than 18 years old
* with lipodystrophic syndrome (familial, partial, genetically determined), diabetics or not, obese or not
* Patients with lipodystrophy non related to a lamine A/C gene mutation, diabetics or not, obese or not
* Obese without diabetes (BMI\> 30)
* Obese (BMI\>30) and diabetes according to ADA criteria
* Normal weight patients (18\< BMI\< 25)
* Agreement for the establishment of a serum bank and a plasma bank

Exclusion Criteria

* Unable to receive enlightened information
* Refusal to sign the consent
* Corticosteroids (including inhaled), other immunosuppressing treatments (systemic disease for example) or immunomodulators (eg interferon);
* Creatinin \> 15 mg / L
* Sepsis
* Progressing cancers or autoimmune diseases;
* Treatment, disease or other condition that may affect the rate of IL-7 (as some contraceptives with estrogens)
* Bleeding disorders (due to disease or treatment)
* Active alcohol Intoxication
* Psychiatric pathology (after psychiatric consultation)
* Active infection including hepatitis C or HIV;
* Age under 18 years
* Participation in another study excluded the possibility of participating in another protocol
* BMI \> 60
* Secondary diabetes
* No social security
* Pregnant or lactating women, patients under guardianship, persons deprived of liberty
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Hospital, Lille

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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marie christine VANTYGHEM, pHd

Role: PRINCIPAL_INVESTIGATOR

Lille University Hospital

Locations

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Amiens University Hospital

Amiens, , France

Site Status

Caen University Hospital

Caen, , France

Site Status

Lille University Hospital

Lille, , France

Site Status

Reims University Hospital

Reims, , France

Site Status

Rouen University Hospital

Rouen, , France

Site Status

Countries

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France

References

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Lemaitre M, Chevalier B, Jannin A, Le Mapihan K, Boury S, Lion G, Labalette M, Vantyghem MC. Metabolic and immunological phenotype of rare lipomatoses: Dercum's disease and Roch-Leri mesosomatic lipomatosis. Orphanet J Rare Dis. 2021 Jun 29;16(1):290. doi: 10.1186/s13023-021-01920-3.

Reference Type DERIVED
PMID: 34187516 (View on PubMed)

Other Identifiers

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2009-A01169-48

Identifier Type: OTHER

Identifier Source: secondary_id

B91413-80

Identifier Type: OTHER

Identifier Source: secondary_id

PHRC 2009/API

Identifier Type: OTHER

Identifier Source: secondary_id

2009_09/0941

Identifier Type: -

Identifier Source: org_study_id

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