ePoster

EVALUATING GROWTH FACTORS AS BIOMARKERS FOR OPIOID USE DISORDER IN A MOUSE MODEL

Noa Straussand 2 co-authors

Tel Aviv University

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS02-07PM-201

Presentation

Date TBA

Board: PS02-07PM-201

Poster preview

EVALUATING GROWTH FACTORS AS BIOMARKERS FOR OPIOID USE DISORDER IN A MOUSE MODEL poster preview

Event Information

Poster Board

PS02-07PM-201

Abstract

The opioid crisis, driven by widespread opioid misuse, has become a major public health concern over the past three decades. Identifying molecular biomarkers for opioid use disorder (OUD) could improve diagnosis and support more personalized treatment. Preliminary evidence suggests that three growth factors – brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF), and fibroblast growth factor 2 (FGF2) – known to regulate drug and alcohol use disorders, may also contribute to OUD. Here, we investigated the associations between the blood and brain expression of these growth factors and opioid addiction-related behaviors in mice. To model opioid-induced behavioral adaptations, we used two paradigms, each with morphine and fentanyl: opioid-induced psychomotor sensitization, modeling drug-induced behavioral adaptations, and voluntary oral self-administration in an intermittent access two-bottle choice protocol across 6 weeks. Although the serum levels of the three growth factors did not differ between opioid- and vehicle-treated mice we found that the individual variability in these factors was strongly associated with behavioral outcomes. In both sensitization experiments, lower baseline BDNF and higher baseline FGF2 levels predicted stronger morphine- and fentanyl-induced responses, explaining 78–80% of individual variance. Additionally, GDNF and FGF2 levels measured after three weeks of morphine self-administration predicted morphine preference over water around this period. Overall, we show that serum BDNF, GDNF, and FGF2 reflect individual differences in the vulnerability for opioid-related behaviors, with predictive relevance depending on opioid type, dose, and behavioral paradigm. Together, our findings indicate the potential utility of the growth factors as biomarkers for addiction-related behaviors.

Figure titled “Prediction of Morphine-Induced Sensitization by Baseline BDNF and FGF2.” Panel A presents a scatterplot comparing observed versus model-predicted psychomotor sensitization scores on Day 15 following repeated morphine administration. The x-axis denotes the observed sensitization score and the y-axis denotes the predicted sensitization score derived from a multiple linear regression model using baseline serum BDNF and FGF2 levels as predictors. Each point represents an individual subject (n = 9). A red dashed diagonal line indicates the line of unity (y = x), representing perfect prediction. Data points generally cluster near the unity line, indicating good model performance, with an overall coefficient of determination of R² = 0.78 shown in an inset. Panel B reports the fitted regression equation: ΔRotations_Day15 = 256.88 − 10.95 × BDNF_baseline + 11.00 × FGF2_baseline, indicating a negative association between baseline BDNF and sensitization magnitude and a positive association between baseline FGF2 and sensitization magnitude. The figure demonstrates that baseline serum growth factor levels account for a substantial proportion of variance in morphine-induced psychomotor sensitization on the final day of testing.

Recommended posters

Cookies

We use essential cookies to run the site. Analytics cookies are optional and help us improve World Wide. Learn more.