About this trial
Recent studies show that emotional states can be discriminated by physiological responses. This physiological regulation results from the action of enzymes and hormones that represent the activity of the autonomic nervous system. The measurement of specific biomarkers, using non-invasive biological tests in saliva, would therefore provide physiological data on an individual's emotional state in response to stimuli, particularly olfactory stimuli.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Subject willing to follow study procedures
Subject able to understand the purpose, nature and methodology of the study
Subject has signed informed consent form
Subjects between 18 and 60 years of age.
Disqualifiers
Subjects deprived of liberty, protected adults, vulnerable persons or minors
Subjects with a proven or suspected chronic infectious disease that could entail a risk of contamination during sample handling (laboratories not equipped to handle this type of sample)
Rejection to sign the consent form.
Pregnant or breastfeeding women
Trial population
The population for this study will consist of healthy volunteers who meet the eligibility criteria.
Trial design
Cohort
Prospective
Treatments tested in this trial
Identication and measurement of a molecular biomarkers signature
Other interventionLevels of the biomarkers of interest (DHEA, pg/mL; Oxytocin, pg/mL; Cortisol, pg/mL; Alpha Amylase, U/mL) will be measured in the saliva of participating subjects by enzymatic assay methods or ELISA-type methods performed using commercial kits.
Treatment groups
Trial outcomes
Primary outcomes
Evaluate variations
Evaluate variations in several molecular biomarkers in saliva following fragrance stimulus/stimuli that may be linked to an emotionnal response (positive or negative).
Secondary outcomes
Identify a molecular biomarker signature
Identify a molecular biomarker signature in saliva following fragrance stimulus or stimuli.
Evaluate basal values of biomarkers
Evaluate basal values of biomarkers composing the signature under normal, unstimulated conditions (intra-individual, inter-individual variations, circadian rhythm, age, gender...).
Evaluate signature dynamics
Evaluate signature dynamics after stimulation
Establish correlations between biomarker signatures and emotion ratings
Establish correlations between biomarker signatures and emotion ratings based on other criteria, such as questionnaires.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Sys2Diag
Lead sponsor
Centre National de la Recherche Scientifique, France
Collaborator