Implementation of a Non-invasive Version of the Imaging β-adrenergic-dependent Sweat Secretion Test

Cliniques universitaires Saint-Luc- Université Catholique de Louvain120 enrolled

Overview

The goal of this study is to implement a non-invasive version of the sweat secretion test based in visualization of sweat glands following β-adrenergic stimulation of sweat. Specifically, the trial will evaluate the relative response of sweat glands to β-adrenergic and cholinergic stimulation among participants with CF, heterozygous and matched control subjects

Study Type

INTERVENTIONAL

Allocation

NON_RANDOMIZED

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

120

Conditions

Mucoviscidosis Involving the Lung

Interventions

Iontophoresis sessions in forearm of subjects with pilocarpineDIAGNOSTIC_TEST

The test with two iontophoresis sessions is performed in a forearm of subjects. Pilocarpine is applied during the first iontophoresis session to evoke cholinergic-induced sweat secretion. Atropine, isoprenaline and aminophylline are applied during the second iontophoresis session, to block the cholinergic component and to evoke β-adrenergic-induced sweat secretion.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 100 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * For patients with cystic fibrosis: clinically stable, all genotypes included. * For healthy volunteer and heterozygous subjects: 18 years and older. Exclusion Criteria: * Corticosteroids, anti-leukotriene therapy, unstable clinical status, \<40% FEV1. * Current pregnancy or breastfeeding.

Locations (1)

Cliniques universitaires Saint-Luc

Brussels, Belgium

RECRUITING

Outcomes

Primary Outcomes

Ratio between the β-adrenergic/cholinergic rate

The ratio between the β-adrenergic/cholinergic rate (nL/min) of droplets of sweat is calculated.

Time frame: up to 30 minutes

Central Contacts

Teresinha LEAL, Biologist

CONTACT

00 32 2 764 teresinha.leal@uclouvain.be

Audrey REYNAERTS, Sciences

CONTACT

00 32 2 764 audrey.reynaerts@uclouvain.be

Data from ClinicalTrials.gov

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