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孙艳，女，北京大学中国药物依赖性研究所副研究员 ，博士生导师。
学术任职
担任中国毒理学会药物依赖性专业委员会青委会主任委员、北京慢性病防治与健康教育研究会双心康复专业委员会专家委员等。先后主持科技部国家重点研发项目课题、科技部科技创新2030—重大项目青年科学家项目、国自然面上项目等10余项科研项目。近年来在Molecular Psychiatry、Biological Psychiatry、Clinical and Translational Medicine、Addiction等业内领先杂志发表研究论文40余篇，主导建立了多种成瘾的大样本多维度生物信息数据库及随访队列，获批国内发明专利3项。
研究方向
1. 成瘾及相关精神疾病的群体生物学机制（遗传环境交互作用机制）及队列研究；
2. 行为成瘾（网络成瘾、游戏成瘾）的发病机制及干预方法；
3. 睡眠与情绪障碍的脑机制及闭环调控干预；
4. 青少年精神健康相关的生物标志物整合研究。
学术成果
论文
1. Sun Y#, Jia TY#, Barker ED , Chen D, Zhang Z, Xu JY, Chang SH, Zhou GD, Liu Y, Tay N, Luo Q, Chang X, Banaschewski T, Bokde A, Flor H, Grigis A, Garavan H, Heinz A, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Lu L, Shi J, Schumann G*, Desrivieres S*. Associations of DNA methylation with behavioral problems, grey matter volumes and negative life events across adolescence: Evidence from the longitudinal IMAGEN study. Biological Psychiatry. 2022 Accepted.
2. Chang XW#, Sun Y#, Muhai JN, Li YY, Chen Y, Lu L, Chang SH*, Shi J*. Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies. Addiction . 2022 May 2. doi: 10.1111/add.15908.
3. Chang SH#, Sun Y#, Wang F, Chang XW, Zhang YJ, Jia TY, Sun HQ, Yue WH, Wu P, Lu L*, Shi J*. Genome-wide association meta-analyses identify novel genetic risk loci and polygenic phenotype associations for heroin, methamphetamine, and alcohol dependences. Clinical and Translational Medicine . 2022, 12(1):e659.
4. Meng SQ#, Cheng JL#, Li YY#, Yang XQ, Zheng JW, Chang XW, Shi Y, Chen Y, Lu L, Sun Y*, Bao YP*, Shi J*. Global Prevalence of Digital Addiction in General Population: A Systematic Review and Meta-Analysis. Clinical Psychology Review . 2022, 92:102128.
5. Sun Y#, Chang SH#, Liu Z, Zhang LB, Wang F, Yue WH, Sun HQ, Ni ZJ, Chang XW, Zhang YB, Chen Y, Liu JQ, Lu L, Shi J*. Identification of novel risk loci with shared effects on alcoholism, heroin and methamphetamine dependence. Molecular Psychiatry . 2021,26(4):1152-1161.
6. Li YY#, Sun Y#, Meng SQ, Bao YP, Cheng JL, Chang XW, Ran MS, Sun YK, Kosten T, Strang J, Lu L*, Shi J*.Internet Addiction Increases in the General Population During COVID‐19: Evidence From China. American Journal on Addiction . 2021, 30(4):389-397.
7. Sun Y, Li YY, Bao YP, Meng SQ, Sun YK, Schumann G, Kosten T, Strang J, Lin Lu L*, Shi J*. Increased addictive Internet and substance use behaviour during the COVID19 pandemic in China. American Journal of Addiction . 2020, 29(4):268-270.
8. Sun Y#, Chang SH#, Wang F, Sun HQ, Ni ZJ, Yue WH, Zhou H, Gelernter J, Malison RT, Kalayasiri R, Wu P, Lu L*, Shi J*. Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison. Translational Psychiatry . 2019, 9: 249.
9. Zhang Y#, Sun Y#, Yu ZL, Sun YK, Chang XW, Lu L, Chang SH*, Shi J*, Risk factors and an early prediction model for persistent methamphetamine-related psychiatric symptoms. Addiction Biology . 2019 doi: 10.1111/adb.12709.
10. Sun Y#, Zhang Y#, Zhang D, Chang SH, Jing RX, Yue WH, Lu L, Chen D, Sun YK, Fan Y*，Shi J*, GABRA2 rs279858-linked variants are associated with disrupted structural connectome of reward circuits in heroin abusers. Translational Psychiatry . 2018, 8(1):138.
11. Chang XW#, Sun Y#, Zhang Y, Muhai JN, Lu L, Shi J*, A review of risk factors for methamphetamine-related psychiatric symptoms. Frontiers in Psychiatry. 2018 doi: 10.3389/fpsyt.2018.00603.[1]