ALTERED PATTERNS OF ASSOCIATION BETWEEN TSPO BINDING AND MGLUR5 AVAILABILITY IN VIVO IN DRUG-NAIVE PATIENTS WITH MAJOR DEPRESSIVE DISORDER: A PRELIMINARY DUAL-TRACER PET STUDY

体内 毒品天真 代谢型谷氨酸受体5 联想(心理学) 药理学 重性抑郁障碍 药品 示踪剂 医学 心理学 神经科学 内科学 生物 受体 心理治疗师 代谢型谷氨酸受体 谷氨酸受体 物理 生物技术 扁桃形结构 核物理学
作者
Jong‐Hoon Kim,Yo-Han Joo,Jeong-Hee Kim,Young‐Don Son
出处
期刊:The International Journal of Neuropsychopharmacology [University of Oxford]
卷期号:28 (Supplement_1): i137-i138
标识
DOI:10.1093/ijnp/pyae059.238
摘要

Abstract Background Based on the monoamine theory of major depressive disorder (MDD), symptoms are derived from a deficiency or imbalance in monoaminergic neurotransmission. The limitation of such a model (1) may highlight the need for alternative neurobiological constructs. Accumulating data indicate that neuroinflammation and its interactions with glutamatergic signaling may present a compelling alternative model for understanding the pathophysiology of MDD and its therapeutic approaches (2-4); however, the patterns of interregional correlations between neuroinflammation and glutamatergic signaling in MDD has not been directly investigated using in vivo positron emission tomography (PET) imaging. Aims & Objectives In this preliminary dual-tracer PET study, we tested for altered spatial associations between availability of ligands for the neuroinflammation marker, translocator protein (TSPO), and the metabotropic glutamate receptor-5 (mGluR5) marker in a group of MDD patients compared with matched healthy controls (HCs). Method Ten drug-naï ve non-smoking MDD patients without comorbidity and eight matched non-smoking HCs underwent PET scanning with the TSPO ligand [11C]PK11195 and the mGluR5 ligand [11C]ABP688. For TSPO availability, we quantified [11C]PK11195 binding potential (BPND) using a reference tissue model (5) based on the supervised cluster analysis (SVCA4) algorithm (6). For mGluR5 availability, [11 C]ABP688 BPND was obtained using the simplified reference tissue model (7) with cerebellar gray matter as a reference region. Regional BPND values were obtained from limbic brain regions that are pivotal in emotion and its regulation: prefrontal cortex, anterior cingulate cortex, parietal cortex, temporal cortex, insula, hippocampus, and amygdala. We calculated the interregional correlation coefficients between regional [11C]PK11195 BPND and [11C]ABP688 BPND values, and compared group differences in the correlation matrices using Fisher’ s z-transformation statistics. The level of statistical significance was defined as two-tailed p <0.05. Results Regional [11C]PK11195 BPND and [11C]ABP688 BPND values showed widespread positive correlations in the HC group, but negative and attenuated positive correlations in the hippocampus and amygdala in the MDD group. The between-group comparisons of the interregional correlation coefficients showed significant differences between the [11C]PK11195 BPND in the left hippocampus and [11C]ABP688 BPND in the bilateral parietal and left temporal cortices, between the [11C]PK11195 BPND in the right hippocampus and [11C]ABP688 BPND in the bilateral prefrontal cortex, bilateral anterior cingulate cortex, bilateral parietal cortex, bilateral temporal cortex, insula, and right amygdala, and between the [11C]PK11195 BPND in the bilateral amygdala and [11C]ABP688 BPND in the right parietal cortex. Discussion & Conclusion Our preliminary dual-tracer PET study shows substantially different patterns of interregional correlations between the availability of TSPO and mGluR5 in MDD patients compared to HCs. The results are in line with a mechanism whereby neuroinflammation may provoke a down-regulation of a post-synaptic marker of glutamatergic transmission in limbic-cortical regions in MDD. These results call for examination in larger groups, aiming to accommodate the heterogeneity of MDD pathophysiology. References 1.Moncrieff, J., Cooper, R.E., Stockmann, T., Amendola, S., Hengartner, M.P., Horowitz, M.A., 2022. The serotonin theory of depression: a systematic umbrella review of the evidence. Mol Psychiatry 1–14. https://doi.org/10.1038/s41380-022-01661-0 2.Moylan, S., Maes, M., Wray, N.R., Berk, M., 2013. The neuroprogressive nature of major depressive disorder: pathways to disease evolution and resistance, and therapeutic implications. Mol Psychiatry 18, 595–606. https://doi.org/10.1038/mp.2012.33 3.Enache, D., Pariante, C.M., Mondelli, V., 2019. Markers of central inflammation in major depressive disorder: A systematic review and meta-analysis of studies examining cerebrospinal fluid, positron emission tomography and post-mortem brain tissue. Brain Behav Immun 81, 24–40. https://doi.org/10.1016/j.bbi.2019.06.015 4.Osimo, E.F., Pillinger, T., Rodriguez, I.M., Khandaker, G.M., Pariante, C.M., Howes, O.D., 2020. Inflammatory markers in depression: A meta-analysis of mean differences and variability in 5,166 patients and 5,083 controls. Brain Behav Immun 87, 901–909. https://doi.org/10.1016/j.bbi.2020.02.010 5.Yaqub, M., Tolboom, N., van Berckel, B.N.M., Scheltens, P., Lammertsma, A.A., Boellaard, R., 2010. Simplified parametric methods for [18F]FDDNP studies. NeuroImage 49, 433–441. https://doi.org/10.1016/j.neuroimage.2009.07.046 6.Yaqub, M., van Berckel, B.N., Schuitemaker, A., Hinz, R., Turkheimer, F.E., Tomasi, G., Lammertsma, A.A., Boellaard, R., 2012. Optimization of supervised cluster analysis for extracting reference tissue input curves in (R)-[11C]PK11195 brain PET studies. J Cereb Blood Flow Metab 32, 1600–1608. https://doi.org/10.1038/jcbfm.2012.59 7.Wu, Y., Carson, R.E., 2002. Noise reduction in the simplified reference tissue model for neuroreceptor functional imaging. J Cereb Blood Flow Metab 22, 1440–1452. https://doi.org/10.1097/01.WCB.0000033967.83623.34
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