Neuromuscular Plasticity in Response to Obesity: Effects of Mechanical Overload, Metabolic Disorders and Age (PLANEUROB)

October 17, 2023 updated by: University Hospital, Clermont-Ferrand
Obese people suffer from significant functional limitations, which affect their quality of life and limit their physical activity level. Functional abilities are largely determined by neuromuscular properties, i.e the ability to produce a torque or a power, and fatigability, i.e the ability to maintain a high level of torque production during repeated contractions. Our previous studies on "healthy" obese adolescents (i.e without inflammation or metabolic disorder) suggests that obesity has positive effects on the neural and muscular factors responsible for torque production, with chronic overload acting as a strength training . However, this high torque level is associated with higher fatigability. These results are in contrast with the data obtained on adult obese patients (young and elderly), in whom torque production and fatigability appear to be more impaired, probably due to the development of metabolic disorders associated with obesity (inflammation, insulin resistance and lipid infiltration in muscle) and aging. The respective effects of mechanical overload, metabolic disorders (insulin resistance and lipid infiltration) and aging on neural and muscular factors of torque production and neuromuscular fatigue etiology are not currently known in young adult obese of elderly. Their relationship to the clinical symptoms of mobility troubles is also unknown. However, this knowledge is crucial for designing physical activity programs tailored and adapted to the level of metabolic impairment and age of obese patients. The hypothesis is that mechanical overload associated with obesity has positive effects on torque production in the absence of metabolic alteration and the effect of aging but negative effects on fatigability, mainly due to muscular factors; the insulin resistance increases peripheral fatigue (due to an alteration in the excitability of the sarcolemma during fatiguing exercise), central fatigue, and slows recovery; the development of inflammation and lipid infiltration, which are more pronounced in obese subjects, further affect torque production through inhibition of the nervous control and alteration of contractile properties and muscle architecture, all these phenomena leading to a decrease in torque production and increased fatigability, cumulating with the effects of the ageing (sarcopenia).

Study Overview

Status

Terminated

Conditions

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

Interventional

Enrollment (Actual)

92

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Clermont-Ferrand, France, 63003
        • CHU Clermont Ferrand

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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
Maximal torque of the knee extensors (in N.m) measured with a dynamometer.
day 7
Fatiguability of the knee extensors (in N.m)
Time Frame: day 7
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
Measure of alteration of the excitation contraction coupling
Time Frame: day 7
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
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
Voluntary activation level (%) assessed by using the twitch interpolation technique.
day 7
Measure of Fascicule length (mm),
Time Frame: day 1
Fascicule length (mm) measured by B-mode real time ultrasound scanner.
day 1
Measure of pennation angle (degree)
Time Frame: day 1
pennation angle (degree) measured by B-mode real time ultrasound scanner.
day 1
Measure cross-sectional area (cm²)
Time Frame: day 1
cross-sectional area (cm²) measured by B-mode real time ultrasound scanner.
day 1
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
Physical activity measured accelerometery.
day2, day 3, day 4, day 5, day 6

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Yves Boirie, University Hospital, Clermont-Ferrand

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 2, 2019

Primary Completion (Actual)

June 26, 2023

Study Completion (Actual)

June 26, 2023

Study Registration Dates

First Submitted

September 25, 2019

First Submitted That Met QC Criteria

September 26, 2019

First Posted (Actual)

September 27, 2019

Study Record Updates

Last Update Posted (Actual)

October 18, 2023

Last Update Submitted That Met QC Criteria

October 17, 2023

Last Verified

October 1, 2023

More Information

Terms related to this study

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

No

Studies a U.S. FDA-regulated device product

No

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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