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Oxytocin

Pitocin, Syntocinon

Quick Stats
Studies 93
Trials 100
Score 1
2025 pubmed

Neural, appetite, and cardiometabolic markers in those with and without food addiction: A pilot fMRI study.

Pursey. Kirrilly M KM; Ng. Emily S ES; Skinner. Janelle J; Whatnall. Megan M; Leary. Mark M; Jeganathan. Jayson J; Wood. Lisa G LG; Williams. Evan J EJ; Garcia. Antonio Verdejo AV; Collins. Clare E CE; Burrows. Tracy L TL

Key Findings

  • People with food addiction showed higher activation in brain areas linked to attention and control when trying not to respond to non‑core (junk) food images
  • Blood levels of oxytocin, ghrelin, leptin, CCK, and cortisol did not differ between food‑addicted and non‑addicted groups
  • No cardiometabolic differences (cholesterol, glucose, etc.) were observed between the groups

Practical Outcomes

  • There’s no evidence from this pilot that oxytocin levels affect food addiction, so supplementing oxytocin isn’t a useful strategy for controlling cravings. Biohackers might instead focus on training inhibitory control or cognitive techniques to manage responses to high‑calorie foods.

Summary

The study looked at people with and without food addiction and measured brain activity and blood hormones, including oxytocin. It found that those with food addiction needed more brain effort to stop themselves from reacting to junk‑food pictures, but their blood levels of oxytocin and other hormones were the same as people without food addiction.

Abstract

Investigating neural activity in response to core and non-core foods, as well as appetite and cardiometabolic biomarkers, may offer insight into why certain individuals are more vulnerable to develop food addiction (FA). This study aimed to investigate neural activation during a food-related Go/No-Go functional magnetic resonance imaging (fMRI) task associated with FA, as well as fasting blood biomarkers related to appetite regulation, stress, and cardiometabolic health. Adults aged 18-45, classified as FA (n = 10) or non-FA (n = 10) via the Yale Food Addiction Scale 2.0, completed a fasting blood sample and Go/No-Go task within the MRI scanner. Blood lipids [total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides], glycated haemoglobin (HbA1c) and glucose, and appetite-related hormones [oxytocin, ghrelin, leptin, cholecystokinin (CCK) and cortisol] were taken. Nineteen participants completed the scans (mean age 28.2 ± 7.4y, 15 female). Individuals with FA showed greater activation in the right supramarginal gyrus, left angular gyrus and right middle frontal gyrus when withholding their button press for non-core food images (p < 0.001, p = 0.001, p = 0.013 respectively). However, no significant differences between groups were identified for blood biomarkers of appetite, stress, or cardiometabolic health. Findings suggest that individuals with high YFAS scores required increased cognitive effort to suppress their responses towards non-core foods, which could increase their vulnerability to consumption of higher calorie foods. Future studies should investigate the role of inhibition and reward-related regions in individuals with FA through cumulative effects of visual, olfactory, and gustatory food cues to mimic the stimulation of all sensory components in the real-world food environment.

Study Information

Provider

pubmed

Year

2025

Date

2025-12-02T00:00:00.000Z

DOI

10.1016/j.neuroscience.2025.12.001

References

52