肖潇，研究员，博士生导师

国家自然科学基金“优秀青年”，中国科学院院级特聘骨干，中国科学院青年创新促进会优秀会员，中国科学院西部青年学者，云岭英才计划“云岭青年人才”，云南省基础研究计划“优秀青年”及NSFC面上、青年等多项基金主持人。

长期从事精神疾病及相关认知行为的遗传与生物学机制研究，综合运用遗传学、分子与细胞生物学、神经生物学以及生理学等跨学科思维与手段揭示基因组中各类遗传变异对疾病表型的影响及机制，尝试构建从遗传变异到病理机制的理论框架，从而促进对精神疾病的认识，推动相关遗传学研究发现的转化应用，为开发新型干预手段提供依据。在Molecular Psychiatry、Biological Psychiatry、Schizophrenia Bulletin、Neuropsychopharmacology等期刊发表论文20余篇。

精神健康问题是现代社会人类面临的重要健康威胁，以抑郁症为代表的各类常见精神疾病严重威胁人类健康，不仅造成个体情绪调节的异常，更导致诸多认知功能障碍（如注意力、记忆与执行功能等）。为有效应对这疾病，急需阐明其发病机制。

累积研究表明，精神健康受到遗传与环境等多方因素的影响，而不同发病风险因素间又存在交互作用。其中，社会性环境因素（如压力、创伤性事件等）与自然环境中的诸多挑战（如环境污染、气候变化等）都可能显著影响人类大脑和精神健康。基于此，本团队聚焦对个体社会功能影响最为显著的认知功能障碍，以基因组、转录组、表观组、暴露组等多组学数据，结合基于特定环境暴露的细胞及动物模型，探讨环境因素（如应激、压力、极端气候因素及大气氧浓度等）对精神健康的影响；同时，借助在进化层面获得极端环境下神经保护效应的动物，解析相关认知功能的保护性生物学机制、探讨特定环境条件下的神经保护策略及干预靶标。通过上述研究，力图实现对环境因素挑战的有效应对，推动对精神疾病机制的理解，揭示潜在干预靶标。

1.  NSFC优秀青年项目，精神疾病跨诊断表型的遗传机理，2023-2025。

2.  中国科学院西部青年学者项目，2022-2026。

3.  NSFC面上项目，抑郁症风险基因PCDH9在发病过程中的生物学机制研究，2021-2024。

4.  云南省科技厅基础研究专项优秀青年项目，基于多组学分析探索精神疾病的遗传基础与生物学机制，2021-2024。

1.  Yang ZH,^# Cai X,^# Ding ZL,^# Li W,^# Zhang CY, Huo JH, Zhang Y, Wang L, Zhang LM, Li SW, Li M, Zhang C,* Chang H,* Xiao X.* Identification of a psychiatric risk gene NISCH at 3p21.1 GWAS locus mediating dendritic spine morphogenesis and cognitive function. BMC Medicine 2023; 21: 254.

2.  Wu Y,^# Zhang CY,^# Wang L, Li Y,* Xiao X*. Genetic insights of schizophrenia via single cell RNA-sequencing analyses. Schizophrenia Bulletin 2023; 49: 914-922.

3.   Zhang CY, Cai X, Guo L, Wang L, Liu Z, Luo XJ, Li M, GeseDNA Research Team, Wang C, Li T, Xiao X. Genetic evidence for the "dopamine hypothesis of bipolar disorder". Molecular Psychiatry 2022; 28: 532-535.

4.   Xiao X, Zhang CY, Zhang Z, Hu Z, Li M, Li T. Revisiting tandem repeats in psychiatric disorders from perspectives of genetics, physiology, and brain evolution. Molecular Psychiatry 2022; 27: 466-475.

5.    Chang H, Cai X, Li HJ, Liu WP, Zhao LJ, Zhang CY, Wang JY, Liu JW, Ma XL, Wang L, Yao YG, Luo XJ, Li M, Xiao X. Functional genomics identify a regulatory risk variation rs4420550 in the 16p11.2 schizophrenia-associated locus. Biological Psychiatry 2021; 89: 246-255. (Cover story)

6.   Zhang C, Xiao X, Li T, Li M. Translational genomics and beyond in bipolar disorder. Molecular Psychiatry 2021; 26: 186-202.

7.   Jun-Yang Wang, Xiao-Yan Li, Hui-Juan Li, Jie-Wei Liu, Yong-Gang Yao, Ming Li, Xiao Xiao, Xiong-Jian Luo. Integrative analyses followed by functional characterization reveal TMEM180 as a schizophrenia risk gene. Schizophrenia Bulletin 2021; 47: 1364-1374.

8.  Yang Z, Zhou D, Li H, Cai X, Liu W, Wang L, Chang H, Li M, Xiao X. The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function and mushroom dendritic spine. Molecular Psychiatry 2020; 25: 48-66.

9.   Li H, Zhang C, Cai X, Wang L, Luo F, Ma Y, Li M, Xiao X. Genome-wide association study of creativity reveals genetic overlap with psychiatric disorders, risk tolerance, and risky behaviors. Schizophrenia Bulletin 2020; 46: 1317-1326.

10.  Liu W, Li W, Cai X, Yang Z, Li H, Su X, Song M, Zhou DS, Li X, Zhang C, Shao M, Zhang L, Yang Y, Zhang Y, Zhao J, Chang H, Yao YG, Fang Y, Lv L, Li M, Xiao X. Identification of a functional human-unique 351-bp Alu insertion polymorphism associated with major depressive disorder in the 1p31.1 GWAS risk loci. Neuropsychopharmacology 2020; 45: 1196-1206.

11. Li HJ, Su X, Zhang L, Zhang CY, Wang L, Li W, Yang Y, Lv L, Li M, Xiao X. Transcriptomic analyses of humans and mice provide insights into depression. Zoological Research 2020; 41: 632-643.

12. Li H, Chang H, Song X, Liu W, Li L, Wang L, Yang Y, Zhang L, Li W, Zhang Y, Zhou DS, Li X, Zhang C, Fang Y, Sun Y, Dai JP, Luo XJ, Yao YG, Xiao X, Lv L, Li M. Integrative analyses of major histocompatibility complex loci in the genome-wide association studies of major depressive disorder. Neuropsychopharmacology 2019; 44: 1552-1561.

13. Weipeng Liu, Hao Yan, Danyang Zhou, Xin Cai, Yuyanan Zhang, Shiyi Li, Huijuan Li, Shiwu Li, Dong-Sheng Zhou, Xingxing Li, Chen Zhang, Yan Sun, Jia-Pei Dai, Jingmei Zhong, Yong-Gang Yao, Xiong-Jian Luo, Yiru Fang, Dai Zhang, Yina Ma, Weihua Yue, Ming Li, Xiao Xiao. The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. Translational Psychiatry 2019; 9: 333.