本课题组致力于干细胞分化与再生过程中所需的营养与代谢编程研究。代谢是维持组织器官中细胞生长和功能的核心，也是生命系统能量供给的主要来源。代谢组直接与表型相关联，可反映机体的生理或病理状态。作为开创干细胞代谢领域的青年学者之一，黄仕强研究员领导课题组开展了一系列的干细胞代谢组学研究和分析工作，探讨干细胞分化与再生过程中所需的营养与代谢编程：

（1）构建基于空间代谢组学和体内外3D肌肉等组织模型，通过开发代谢组学，人工智能技术，液相质谱和质谱成像技术，以升级不同细胞类的代谢组学分析逐步实现空间代谢组学，剖析发育与再生的空间代谢规律。分析结果揭示了细胞重编程肌肉衰减、肌肉再生、肌肉锻炼、妊娠器官与胚胎发育的代谢调控规律。本研究曾被 Nature Medicine, Science 等评述。(Nat Med 2016, Genes Dev 2017, Cell Stem Cell 2019, Adv Sci 2023, Bioanal Chem 2023, Sci Adv 2023, Trends Endocrin Metab 2024, Cell Stem Cell 2024, Cell 2024)

（2）研究干细胞在再生过程中所需的营养和代谢编程原理。结合基因测序、代谢组学等大数据分析技术，寻找能调控组织再生的关键因子。发现 Lin28 等干细胞因子是通过营养代谢率、表观遗传修饰代谢、代谢应激反应，来促进组织发育与组织再生。营养代谢对于细胞命运调控既因既果。本研究曾被 Nature, Science 等评述。(Cell 2011, Science 2012, Cell 2013, Cell Stem Cell 2013, Trends Endocrin Metab 2016, Cell Stem Cell 2021, Cell Prolif 2023, Cell Res 2023)

（3）基于以上研究基础，为寻找诊治肌肉衰减、肌少性肥胖、糖尿病、子痫前期等代谢疾病提供新方案。

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