ML-Driven Metabolomics Predicts Anti-Inflammatory and Antioxidant Activities in D. officinale Leaves

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Background Dendrobium officinale (D. officinale) leaves, rich in bioactive compounds comparable to those stems, remain underutilized as agricultural byproducts. Purpose This study aims establish an ML (machine learning)-driven metabolomic framework evaluate seasonal variations within D. identify germplasm-specific pharmacological activities, and determine core components driving anti-inflammatory antioxidant effects. Methods An integrated approach combining dynamic profiling (UHPLC-QTOF-MS, RP-HPLC, UPLC-QqQ-MS), vitro bioassays (TNF-α/IL-6 suppression assays ABTS radical scavenging assay), modeling was employed. Results Phenolics, flavonoids, terpenes, B-vitamins peaked October–November, while amino acids accumulated until December. Despite this, July-harvested leaves exhibited maximum activity. Random Forest Regression (RFR) models identified vanillic acid 4-β-D-glucoside, schaftoside, rutin key contributors, validated experimentally. Conclusion ML-enhanced strategy advances the quality assessment germplasm optimization of by linking phytochemical profiles bioactivity. The identification July optimal harvest period critical underscores approach’s utility nutraceutical pharmaceutical applications, promoting sustainable utilization

Language: Английский

Effects of latent infection of Toxoplasma gondii strains with different genotypes on mouse behavior and brain transcripts

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Background Toxoplasma gondii (T. gondii) can cause severe damage to immunodeficient hosts, and also compromise brain structure function in immunocompetent hosts during latent infection. In China, the two different isolates, Chinese I (ToxoDB#9) III are dominant epidemic strains widely spreading humans domestic animals lead infection host tissues, but comparison of their manipulation patterns mechanisms remains unclear. Methods Tachyzoites TgWh6 (Wh6) strain TgCtLHG (LHG) were used for establishing in vitro models within mouse microglia BV2 cells, differences invasion proliferation observed. C57BL/6J mice establish vivo models. After behavioral tests, differential expressed transcripts (DETs) infected control animals' cerebral cortex sequenced by Nanopore RNA-seq. Functional DETs analyzed Gene Ontology enrichment analysis (GO), Kyoto Encyclopedia Genes Genomes (KEGG), protein-protein interaction (PPI) cluster analysis. Expression key candidates verified quantitative polymerase chain reaction (qPCR). Results our models, we found that Wh6 had more vigorous abilities vitro, while LHG greater ability form cysts vivo. phase, changes including spatial working memory, cognitive motor abilities, anxiety apparently observed both mice, however, group showed serious anxiety. Among DETs, genes related MHC class II molecules significantly up-regulated synaptic transmission neurodegenerative diseases respectively down-regulated groups. The downregulated Sept4, Kcng4, Unc13c, Prkcg WH6 group, which transmission; Ndrg2 Arc diseases, would be selected phase. Conclusion Compared with WH6, although has a milder ability, it increased disorders hosts. may main causes mental disorders.

Language: Английский

Effects of latent infection of Toxoplasma gondii strains with different genotypes on mouse behavior and brain transcripts

Parasites & Vectors, Journal Year: 2025, Volume and Issue: 18(1)

Published: May 26, 2025

Language: Английский