- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04106570
Neuromuscular Plasticity in Response to Obesity: Effects of Mechanical Overload, Metabolic Disorders and Age (PLANEUROB)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The limited data available in the literature suggest that insulin resistance, low-grade inflammation and muscle lipid infiltration may negatively impact torque production capacity and promote neuromuscular fatigability. Insulin resistance thus has effects on blood perfusion of active muscles, via effects on the autonomic nervous system (Petrofsky and al. 2009). Insulin resistance is also associated with a disruption of Na+/K+ pump activity, excitation-contraction coupling, intracellular ATP concentration (Orlando and al. 2016) and mitochondrial function (Slattery and al. 2014). All these effects are expected to increase the development of peripheral fatigue in obese patients with type 2 diabetes and impaired mitochondrial function is expected to result in impaired post-exercise recovery capacity. Inflammation can also affect the torque production. Some studies have shown a negative correlation between muscle torque production and inflammatory status in obese adolescents (Ruiz and al. 2008) and seniors (Visser and al. 2002). Inflammation is associated with reduced muscle mass, which may result from inhibition of protein synthesis (Guillet and al. 2012). Inflammation could also have negative effects on the nervous factors of torque production, via the stimulation of afferences III and IV, as suggested in the healthy subject (Dousset and al. 2007). However, this has never been demonstrated. Finally, oedema associated with the inflammatory reaction could modify the architecture and muscle dimensions, as demonstrated in healthy subjects (Ishikawa and al. 2006) or those suffering from inflammatory diseases (Kaya and al. 2013). To date, the consequences of low-grade inflammation, combined or not with aging, on the muscle and nervous factors of force production in obese adults have yet to be characterized experimentally. Muscle lipid infiltration can also have negative effects on muscle protein synthesis (Tardif and al. 2014) and especially on strength. This has been frequently reported in non-obese elderly people (Sipilä and Suominen 1994). Interestingly, another study reported a negative correlation between intramuscular lipid content and level of quadriceps voluntary activation in non-obese elderly people (Yoshida and al. 2012), which may explain the correlation discussed above. To our knowledge, no data are available for adult obese patients. However, it can be assumed that lipid infiltration would have inhibitory effects on the level of activation of motor units, and therefore on the production of force. It is also likely that lipid infiltration limits muscle architectural adaptations to overweight (contractile and adipose tissues competing to develop in a restricted muscle volume). Mathematical modelling of the effects of lipid infiltration on muscle mechanics (Rahemi and al. 2015) suggests that intramuscular lipids could disrupt contractile activity by limiting the shortening of muscle fascicles, and transverse muscle deformation during muscle contraction. However, these theoretical predictions have yet to be confirmed by experimental data.
The PLANEUROB research project is a physiological observational study comparing the respective effects of mechanical overload, metabolic disorders and age on torque production, fatigability and functional capacity in obese people. Subjects will have to perform a fatigue protocol, an adapted Margaria test and a 6 minutes walking test in one session. Blood samples, muscular ultrasound scanner and physical activity assessment will also be achieved.
Data will be analysed using LabChart 7.3 Pro software (ADInstrument, New South Wales, Australia), ImageJ (NIH Image, Bethesda, Maryland, USA) and Statistica 8.0 software (StatSoft, Inc.) and significance will be accepted at a two-sided alpha level of p<.05. The normality and homogeneity of the variables will be checked respectively from a Shapiro- Wilk test and a Barlett test. If normality and homogeneity of the variables are verified, absolute values of variables (Torque, EMG, mean grey, etc.) will be compared using two factors (age x metabolic disorders) analyses of variance (ANOVA) with repeated measures. If analyses reveal a significant effect of any factor or interaction of factors, post-hoc Newman-Keuls tests will be performed to determine differences between the different conditions.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
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Clermont-Ferrand, France, 63003
- CHU Clermont Ferrand
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Female or male subject, aged between 20 and 70 years old (inclusive terminals).
- Subject with a BMI greater than 30kg/m².
- Subject with a stable weight for at least 3 months before the start of the study.
- Subject capable and willing to comply with the protocol and willing to give informed consent in writing.
- Subject affiliated to a social security system.
Exclusion Criteria:
Subject with a medical or surgical history deemed by the investigator to be incompatible with the study.
- Subject with a medical contraindication to intense activity.
- Subject weighing more than 170kg, which may damage the dynamometer chair.
- Subject with a treatment that, in the investigator's opinion, may interfere with the evaluation of study criteria, period of exclusion from a previous clinical study.
- Subject who has received a total amount of compensation since the beginning of the calendar year, greater than 4500 euros (amount may change depending on the regulation).
- Subject with a linguistic or physiological disability to sign informed consent.
- Subject deprived of liberty by administrative of juridical decision, under guardianship or curatorship.
- Pregnant or breastfeeding women.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: YOMH
Young obese metabolically healthy Description: Aged from 20 to 40 years old and with a glycemia < 1g/l and a triglyceridemia < 1,5g/l.
|
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
Experimental: YOMD
Young obese with metabolic disorders Description: Aged from 20 to 40 years old and with a glycemia > 1g/l and a triglyceridemia > 1,5g/l. |
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
Experimental: MAOMH
Middle-Age obese metabolically healthy Description: Aged from 40 to 50 years old and with a glycemia < 1g/l and a triglyceridemia < 1,5g/l. |
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
Experimental: MAOMD
Middle-Age obese with metabolic disorders Description: Aged from 40 to 50 years old and with a glycemia > 1g/l and a triglyceridemia > 1,5g/l.
|
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
Experimental: EOMH
Elderly obese metabolically healthy Description: Aged from 50 to 70 years old and with a glycemia < 1g/l and a triglyceridemia < 1,5g/l. |
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
Experimental: EOMD
Elderly obese with metabolic disorders Description: Aged from 50 to 70 years old and with a glycemia > 1g/l and a triglyceridemia > 1,5g/l. |
fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Maximal torqueof the knee extensors (in N.m)
Time Frame: day 7
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Maximal torque of the knee extensors (in N.m) measured with a dynamometer.
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day 7
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Fatiguability of the knee extensors (in N.m)
Time Frame: day 7
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Fatiguability of the knee extensors (in N.m) measured with a dynamometer.
|
day 7
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Maximal muscle power of the lower limb
Time Frame: day 1
|
Maximal muscle power of the lower limb muscles measured during an adapted Margaria test (15 steps by walking).
|
day 1
|
Functional capacity
Time Frame: day 1
|
Functional capacity assessed by a 6 minutes walking test.
|
day 1
|
Muscle contractile properties
Time Frame: day 7
|
Muscle contractile properties using muscle twitches and the doublet torque amplitude (100Hz, in N.m) measured using electrical muscle stimulation.
|
day 7
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Measure of alteration of the excitation contraction coupling
Time Frame: day 7
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Alteration of the excitation contraction coupling using the high frequency (100Hz)/ low frequency (10Hz) ratio evoked by electrical muscle stimulation.
|
day 7
|
Measure of Sarcolemma excitability
Time Frame: day 7
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Sarcolemma excitability using muscle action potential amplitude (i.e M-wave, in mV) evoked by electrical muscle stimulation and measured by surface electromyography (EMG).
|
day 7
|
Measure of Voluntary activation level (%)
Time Frame: day 7
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Voluntary activation level (%) assessed by using the twitch interpolation technique.
|
day 7
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Measure of Fascicule length (mm),
Time Frame: day 1
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Fascicule length (mm) measured by B-mode real time ultrasound scanner.
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day 1
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Measure of pennation angle (degree)
Time Frame: day 1
|
pennation angle (degree) measured by B-mode real time ultrasound scanner.
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day 1
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Measure cross-sectional area (cm²)
Time Frame: day 1
|
cross-sectional area (cm²) measured by B-mode real time ultrasound scanner.
|
day 1
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Measure muscular lipid infiltration (%)
Time Frame: day 1
|
muscular lipid infiltration (%) measured by B-mode real time ultrasound scanner.
|
day 1
|
Measure of Glycemia (g/L)
Time Frame: day 1
|
Glycemia in blood samples.
|
day 1
|
Measure of insulinemia (pmol/L)
Time Frame: day 1
|
insulinemia in blood samples.
|
day 1
|
Measure of HbA1c(mmol/mol)
Time Frame: day 1
|
HbA1c in blood samples.
|
day 1
|
Measure of triglyceridemia (g/L)
Time Frame: day 1
|
triglyceridemia in blood samples.
|
day 1
|
Measure of CRP (mg/L)
Time Frame: day 1
|
CRP in blood samples.
|
day 1
|
Height in cm
Time Frame: day 1
|
Anthropometric measure of height
|
day 1
|
weight in kg
Time Frame: day 1
|
Anthropometric measure of weight
|
day 1
|
waist circumference in cm
Time Frame: day 1
|
Anthropometric measure of waist circumference.
|
day 1
|
Physical activity
Time Frame: day 1
|
Physical activity measured with Global Physical Activity Questionnaire
|
day 1
|
Physical activity
Time Frame: day 1
|
Physical activity measured with Physical Activity Questionnaire
|
day 1
|
Physical activity
Time Frame: day2, day 3, day 4, day 5, day 6
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Physical activity measured accelerometery.
|
day2, day 3, day 4, day 5, day 6
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Yves Boirie, University Hospital, Clermont-Ferrand
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- RBHP 2019 BOIRIE 3 (Planeurob)
- 2019-A00788-49 (Other Identifier: 2019-A00788-49)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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