Psychogenic Profiling Predicts Plasma Biomarkers: A Pilot Study on the Correlation between the ADNe® Neurofactors Test and Cortisol, IL-6 and Testosterone using ELISA
DOI:
https://doi.org/10.56147/jbhs.3.3.149Keywords:
- Psychometrics,
- Neurotransmitters,
- Cortisol,
- Interleukin-6,
- Testosterone,
- ELISA,
- Psychogenic test,
- Neurofactor,
- Biomarker prediction,
- Pilot study
Abstract
Background/objectives: Conventional psychometric instruments generally show limited ability to correlate with circulating biological markers. ADNe® is a 29-item psychogenic instrument based on a neurotransmitter-weighted response framework, designed to model functional patterns of neurobiological activation rather than classify personality traits. This study aimed to explore whether ADNe® neurofactor scores are associated with plasma concentrations of cortisol, Interleukin-6 (IL-6) and testosterone in healthy adults.
Methods: Twenty healthy volunteers (15 women, 5 men; mean age 30.3 ± 9.6 years, range 22-61) completed the ADNe® questionnaire and provided a peripheral blood sample on the same day. Plasma was isolated by centrifugation (400 × g, 5 min) and biomarker levels were quantified using ELISA. Statistical analyses included Spearman rank correlations and exploratory multiple linear regression models using the seven neurofactors as simultaneous predictors.
Results: Significant associations were identified between selected neurofactors and biomarkers. Sm (attentional amplitude) showed an inverse correlation with testosterone (ρ =−0.567; p=0.022), while Mn (strategic acuity) was inversely associated with IL-6 (ρ =−0.489; p=0.046). Exploratory multivariate models showed high apparent explanatory capacity within this dataset (R²=0.848 for IL-6, 0.735 for testosterone and 0.569 for cortisol). However, given the small sample size and the number of predictors included, these estimates should be interpreted with caution.
Conclusions: In this pilot study, ADNe® neurofactor profiles showed associations with circulating biomarkers, suggesting that this approach may capture dimensions related to physiological regulation. Nevertheless, the findings are exploratory and may be influenced by overfitting and unmeasured confounding variables. Independent replication in larger, pre-registered studies with appropriate validation strategies will be necessary to confirm the robustness and generalizability of these results.
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References
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