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.
Recent studies show that emotional states (positive and negative) can be discriminated by physiological responses. This physiological regulation stems from the action of enzymes and hormones that represent the activity of the autonomic nervous system. The measurement of specific biomarkers (enzymes, hormones), using non-invasive biological tests in saliva, would therefore provide physiological data on an individual's emotional state (Giacomello et al. 2020) in response to stimuli, particularly olfactory stimuli. The aim of the proposed research is to identify and measure a signature of molecular biomarkers in saliva, linked to emotions following one or more olfactory stimuli (e.g. cortisol and alpha-amylase concentration increase after stimulation).
Study Type
OBSERVATIONAL
Enrollment
240
Levels 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.
SYS2DIAG - UMR9005 CNRS/ALCEN, Montpellier, 34184
Montpellier, France
RECRUITINGEvaluate variations
Evaluate variations in several molecular biomarkers in saliva following fragrance stimulus/stimuli that may be linked to an emotionnal response (positive or negative).
Time frame: 1 year
Identify a molecular biomarker signature
Identify a molecular biomarker signature in saliva following fragrance stimulus or stimuli.
Time frame: 2 years
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...).
Time frame: 3 years
Evaluate signature dynamics
Evaluate signature dynamics after stimulation
Time frame: 1 year
Establish correlations between biomarker signatures and emotion ratings
Establish correlations between biomarker signatures and emotion ratings based on other criteria, such as questionnaires.
Time frame: 3 years
Compare biomarker signatures
Compare biomarker signatures in response to different fragrance stimuli.
Time frame: 2 years
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