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Few-shot learning-driven discovery of Lutein suppresses Th1- mediated inflammation via glucose metabolism

   
@article{APS11611,
	author = {Li-jun Yang and Zong-hui Wei and Pei-jian Cao and Zhi-bin Li and Xiang Li and Jun-wei Zhao and Yi-wen Du and Ke-han Wang and Qiao-hong Zheng and Qiao-jun He and Bo Yang and Jia-jia Wang and Qin-jie Weng},
	title = {Few-shot learning-driven discovery of Lutein suppresses Th1- mediated inflammation via glucose metabolism},
	journal = {Acta Pharmacologica Sinica},
	volume = {47},
	number = {9},
	year = {2026},
	keywords = {},
	abstract = {The discovery of selective immunosuppressants for T cell-mediated diseases like Ulcerative Colitis (UC) is a significant challenge. While traditional screening is inefficient, Artificial intelligence (AI)-driven approaches are often hindered by the scarcity of high- quality labeled data, challenging the accurate identification of functional molecules. In this study, we leveraged a transfer learning strategy to compensate for the lack of high-quality data, establishing a screening platform to identify potential T cell inhibitors. Using this approach, we identified Lutein as a novel, specific immunomodulatory candidate from a natural product library. Integrated multi-omics analyses revealed that Lutein activates peroxisome proliferator-activated receptor gamma (PPARγ), suppressing glucose uptake and glycolysis, thereby selectively inhibiting Th1 cell differentiation. In a dextran sulfate sodium (DSS)- induced mouse model of ulcerative colitis, Lutein treatment significantly restored Th1-mediated immune balance and alleviated pathological tissue damage. Our findings highlight the feasibility of using a few-shot learning strategy based on transfer learning to screen for specific immunosuppressants and indicate that Lutein is a promising therapeutic candidate for ulcerative colitis.},
	issn = {1745-7254},	url = {http://www.chinaphar.com/article/view/11611}
}