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Omics · study · 2026

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

Listed in NCBI GEO

Artificial intelligence (AI)-driven drug discovery is often hindered by the “few-shot” data bottleneck and the limited representational power of traditional two-dimensional models, challenging the accurate identification of functional molecules.

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In this study, we addressed these challenges by establishing a high-precision screening platform, which leverages transfer learning to recognize the key 3D molecular features of T cell inhibitors.

Using this approach, we identified Lutein as a novel, specific immunomodulatory agent 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.

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Our findings not only highlight the great potential of “few-shot” AI strategies that leverage transfer learning and 3D molecular features for the discovery of bioactive natural compounds, but also identify Lutein as a promising therapeutic candidate for ulcerative colitis.

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Life Sciences
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30467615 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title