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  Neurometabolic profile of the amygdala in smokers assessed with 1H-magnetic resonance spectroscopy

Steinegger, C., Zoelch, N., Hock, A., Henning, A., Engeli, E., Pryce, C., et al. (2024). Neurometabolic profile of the amygdala in smokers assessed with 1H-magnetic resonance spectroscopy. NeuroImage, 288: 120525. doi:10.1016/j.neuroimage.2024.120525.

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Steinegger, CA, Author
Zoelch, N, Author
Hock, A, Author
Henning, A1, Author                 
Engeli, EJE, Author
Pryce, CR, Author
Seifritz, E, Author
Herdener, M, Author
Hulka, LM, Author
Affiliations:
1Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              

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 Abstract: obacco smoking is one of the main causes of premature death worldwide and quitting success remains low, highlighting the need to understand the neurobiological mechanisms underlying relapse. Preclinical models have shown that the amygdala and glutamate play an important role in nicotine addiction. The aims of this study were to compare glutamate and other metabolites in the amygdala between smokers and controls, and between different smoking states. Furthermore, associations between amygdalar metabolite levels and smoking characteristics were explored. A novel non-water-suppressed proton magnetic resonance spectroscopy protocol was applied to quantify neurometabolites in 28 male smokers (≥15 cigarettes/day) and 21 non-smoking controls, matched in age, education, verbal IQ, and weekly alcohol consumption. Controls were measured once (baseline) and smokers were measured in a baseline state (1-3 hours abstinence), during withdrawal (24 hours abstinence) and in a satiation state (directly after smoking). Baseline spectroscopy data were compared between groups by independent t-tests or Mann-Whitney-U tests. Smoking state differences were investigated by repeated-measures analyses of variance (ANOVAs). Associations between spectroscopy data and smoking characteristics were explored using Spearman correlations. Good spectral quality, high anatomical specificity (98% mean grey matter) and reliable quantification of most metabolites of interest were achieved in the amygdala. Metabolite levels did not differ between groups, but smokers showed significantly higher glutamine levels at baseline than satiation. Glx levels were negatively associated with pack-years and smoking duration. In summary, this study provides first insights into the neurometabolic profile of the amygdala in smokers with high anatomical specificity. By applying proton magnetic resonance spectroscopy, neurometabolites in smokers during different smoking states and non-smoking controls were quantified reliably. A significant shift in glutamine levels between smoking states was detected, with lower concentrations in satiation than baseline. The negative association between Glx levels and smoking quantity and duration may imply altered glutamate homeostasis with more severe nicotine addiction.

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 Dates: 2024-012024-03
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2024.120525
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: 9 Volume / Issue: 288 Sequence Number: 120525 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166