尼古丁易感的脑结构特征的磁共振成像研究
收稿日期: 2021-02-23
网络出版日期: 2021-03-31
基金资助
国家自然科学基金资助项目(81571757);中国科学院前沿科学重点研究项目(QYZDB-SSW-SLH046)
Magnetic Resonance Imaging the Brain Structures Involved in Nicotine Susceptibility in Rats
Received date: 2021-02-23
Online published: 2021-03-31
本文旨在利用磁共振成像手段探究尼古丁易感个体的脑结构特征，即脑结构特性对尼古丁依赖程度的预测.选用成年雄性SD大鼠进行纵向研究，利用基于微型渗透压泵的间歇性给药方式对大鼠进行腹腔注射尼古丁14天，随后强制戒断14天.于第0、15、29天进行躯体戒断行为测试以量化其尼古丁依赖严重程度.对第1天的脑结构图像与戒断行为评分进行回归分析，结果发现尼古丁依赖严重程度与双侧前边缘皮层、左侧颗粒状岛叶皮层灰质体积和双侧丘脑白质体积呈负相关，与右侧海马CA1脑区和左侧丘脑灰质体积呈正相关.以上脑区的结构特征，能够作为尼古丁易感的生物标志物，在个体接触尼古丁之前预测其尼古丁依赖风险，对易感人群进行有针对性的早期干预.
关键词： 磁共振成像(MRI); 尼古丁易感; 脑结构; 躯体戒断行为
胡赢丹 , 蔡悦 , 王旭霞 , 刘思婕 , 康彦 , 雷皓 , 林富春 . 尼古丁易感的脑结构特征的磁共振成像研究[J]. 波谱学杂志, 2021 , 38(3) : 345 -355 . DOI: 10.11938/cjmr20212890
The aim of this study is to identify brain structures involved in the individual difference of nicotine susceptibility in rats with longitudinal magnetic resonance imaging (MRI). Adult male Sprague-Dawley rats were subjected to intermittent intraperitoneal nicotine injection for 14 days using a mini-osmotic pump, followed by forced withdrawal for 14 days. Somatic withdrawal behavioral signs test was performed on day 0, 15, and 29 to quantify nicotine dependence. Correlation analyses between the withdrawal behavior score and structural MRI indices on day 1 (baseline scan) revealed that the severity of nicotine dependence was negatively correlated with the gray matter (GM) volumes in bilateral prelimbic cortex/left granular insular cortex and the white matter volume in bilateral thalamus, but positively correlated with the GM volumes in right hippocampal CA1/left thalamus. It is proposed that the aforementioned structural indices may be used as biomarkers for nicotine susceptibility, predicting the risk of nicotine dependence before individuals are exposed to nicotine.
| 1 | CHEN Z M , PETO R , ZHOU M G , et al. Contrasting male and female trends in tobacco-attributed mortality in China: evidence from successive nationwide prospective cohort studies[J]. The Lancet, 2015, 386 (10002): 1447- 1456. |
| 2 | BRITTON J . Death, disease, and tobacco[J]. The Lancet, 2017, 389 (10082): 1861- 1862. |
| 3 | GARCIA-RIVAS V , DEROCHE-GAMONET V . Not all smokers appear to seek nicotine for the same reasons: implications for preclinical research in nicotine dependence[J]. Addic Biol, 2019, 24 (3): 317- 334. |
| 4 | LIU M Z , JIANG Y , WEDOW R , et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use[J]. Nat Genet, 2019, 51 (2): 237- 244. |
| 5 | LI S F , YANG Y H , HOFFMANN E , et al. CYP2A6 genetic variation alters striatal-cingulate circuits, network hubs, and executive processing in smokers[J]. Biol Psychiat, 2017, 81 (7): 554- 563. |
| 6 | HONG L E , HODGKINSON C A , YANG Y , et al. A genetically modulated, intrinsic cingulate circuit supports human nicotine addiction[J]. Proc Natl Acad Sci U S A, 2010, 107 (30): 13509- 13514. |
| 7 | HSU L M , KEELEY R J , LIANG X , et al. Intrinsic insular-frontal networks predict future nicotine dependence severity[J]. J Neurosci, 2019, 39 (25): 5028- 5037. |
| 8 | CAI W Q , WANG Y J . Advances in construction of human brain atlases from magnetic resonance images[J]. Chinese J Magn Reson, 2020, 37 (2): 241- 253. |
| 8 | 蔡文琴, 王远军. 基于磁共振成像的人脑图谱构建方法研究进展[J]. 波谱学杂志, 2020, 37 (2): 241- 253. |
| 9 | ZHANG X , SALMERON B J , ROSS T J , et al. Factors underlying prefrontal and insula structural alterations in smokers[J]. Neuroimage, 2011, 54 (1): 42- 48. |
| 10 | FRITZ H C , WITTFELD K , SCHMIDT C O , et al. Current smoking and reduced gray matter volume-a voxel-based morphometry study[J]. Neuropsychopharmacol, 2014, 39 (11): 2594- 2600. |
| 11 | LIAO Y H , TANG J S , LIU T Q , et al. Differences between smokers and non-smokers in regional gray matter volumes: a voxel-based morphometry study[J]. Addict Biol, 2012, 17 (6): 977- 980. |
| 12 | PAN P L , SHI H C , ZHONG J G , et al. Chronic smoking and brain gray matter changes: evidence from meta-analysis of voxel-based morphometry studies[J]. Neurol Sci, 2013, 34 (6): 813- 817. |
| 13 | HANLON C A , OWENS M M , JOSEPH J E , et al. Lower subcortical gray matter volume in both younger smokers and established smokers relative to non-smokers[J]. Addict Biol, 2016, 21 (1): 185- 195. |
| 14 | WANG K C , YANG J Y , ZHANG S Y , et al. The neural mechanisms underlying the acute effect of cigarette smoking on chronic smokers[J]. PLoS One, 2014, 9 (7): e102828. |
| 15 | STOECKEL L E , CHAI X J , ZHANG J H , et al. Lower gray matter density and functional connectivity in the anterior insula in smokers compared with never smokers[J]. Addict Biol, 2016, 21 (4): 972- 981. |
| 16 | BRYNILDSEN J K , NAJAR J , HSU L M , et al. A novel method to induce nicotine dependence by intermittent drug delivery using osmotic minipumps[J]. Pharmacology Biochemistry and Behavior, 2016, 142, 79- 84. |
| 17 | WU H , WANG X , GAO Y , et al. NMDA receptor antagonism by repetitive MK801 administration induces schizophrenia-like structural changes in the rat brain as revealed by voxel-based morphometry and diffusion tensor imaging[J]. Neuroscience, 2016, 322, 221- 233. |
| 18 | XIN H T , WU G Y , WEN Z , et al. Effects of antiretroviral therapy on brain gray matter volumes in AIDS patients[J]. Chinese J Magn Reson, 2021, 38 (1): 69- 79. |
| 18 | 辛红涛, 吴光耀, 文之, 等. 抗逆转录病毒治疗对艾滋病患者脑灰质体积的影响[J]. 波谱学杂志, 2021, 38 (1): 69- 79. |
| 19 | HAYASHI T , KO J H , STRAFELLA A P , et al. Dorsolateral prefrontal and orbitofrontal cortex interactions during self-control of cigarette craving[J]. Proc Natl Acad Sci U S A, 2013, 110 (11): 4422- 4427. |
| 20 | LI Y D , YUAN K , CAI C X , et al. Reduced frontal cortical thickness and increased caudate volume within fronto-striatal circuits in young adult smokers[J]. Drug Alcohol Depen, 2015, 151, 211- 219. |
| 21 | PICARD F , SADAGHIANI S , LEROY C , et al. High density of nicotinic receptors in the cingulo-insular network[J]. Neuroimage, 2013, 79, 42- 51. |
| 22 | NAQVI N H , RUDRAUF D , DAMASIO H , et al. Damage to the insula disrupts addiction to cigarette smoking[J]. Science, 2007, 315 (5811): 531- 534. |
| 23 | MORALES A M , GHAHREMANI D , KOHNO M , et al. Cigarette exposure, dependence, and craving are related to insula thickness in young adult smokers[J]. Neuropsychopharmacol, 2014, 39 (8): 1816- 1822. |
| 24 | LIN F C , WU G Y , ZHU L , et al. Region-specific changes of insular cortical thickness in heavy smokers[J]. Front Hum Neurosci, 2019, 13, 265. |
| 25 | TSAI P J , KEELEY R J , CARMACK S A , et al. Converging structural and functional evidence for a rat salience network[J]. Biol Psychiat, 2020, 88 (11): 867- 878. |
| 26 | KENNEY J W , GOULD T J . Modulation of hippocampus-dependent learning and synaptic plasticity by nicotine[J]. Mol Neurobiol, 2008, 38 (1): 101- 121. |
| 27 | LIN F C , WU G Y , ZHU L , et al. Altered brain functional networks in heavy smokers[J]. Addict Biol, 2015, 20 (4): 809- 819. |
| 28 | SHEN Z J , HUANG P Y , QIAN W , et al. Severity of dependence modulates smokers' functional connectivity in the reward circuit: a preliminary study[J]. Psychopharmacology, 2016, 233 (11): 2129- 2137. |
| 29 | WANG L , NEGREIRA A , LAVIOLETTE P , et al. Intrinsic interhemispheric hippocampal functional connectivity predicts individual differences in memory performance ability[J]. Hippocampus, 2010, 20 (3): 345- 351. |
| 30 | BRODY A L , MANDELKERN M A , LONDON E D , et al. Cigarette smoking saturates brain α4β2 nicotinic acetylcholine receptors[J]. Arch Gen Psychiat, 2006, 63 (8): 907- 914. |
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