Fungal Coculture of Herpotrichia sp. and Trametes versicolor Induces Production of Diverse Metabolites with Anti-Parkinson's Neuroprotective Activity.
Zi-Jue WangYi-Rui HongXin-Yu WangJing-Zhe WangYi-Jie ZhaiWei CuiWen-Bo HanPublished in: Journal of natural products (2024)
Co-cultivation of isopod-associated fungi Herpotrichia sp. SF09 and Trametes versicolor SF09A led to the reciprocal induction of thirteen new compounds ( 1 - 7 and 9 - 13 ) with diverse architectures. Importantly, compounds 1 and 2 are rare fungal sesquiterpene-saccharide hybrids incorporating a xylopyranose moiety, compound (±)- 3 represents the first example of a natural linear sesquiterpene racemate, and compound 7 is a rare α-pyrone derivative with a xylopyranose motif. Their structures were elucidated by analysis of NMR and mass spectrometry data, and their absolute configurations were determined by Mosher's method, microscale derivatization, and single-crystal X-ray diffraction, as well as ECD calculations. All the isolated compounds ameliorated MPP + -induced oxidative damage in PC12 cells in a dose-dependent fashion. Among them, compounds 5 and 15 showed significant protective action against neuronal injury by MPP + at 5 μM. Meanwhile, transcriptome sequencing was performed to evaluate the molecular mechanism of the neuroprotective activity for compound 5 . Results indicated that compound 5 might mitigate MPP + -induced neuronal injury through the regulation of multiple signaling pathways, including the PI3K-Akt and MAPK pathways. Our findings suggested that compound 5 could be a promising neuroprotective agent for the treatment of Parkinson's disease.
Keyphrases
- cerebral ischemia
- high resolution
- mass spectrometry
- signaling pathway
- high glucose
- ms ms
- diabetic rats
- liquid chromatography
- single cell
- oxidative stress
- magnetic resonance
- molecular dynamics
- high performance liquid chromatography
- drug induced
- subarachnoid hemorrhage
- molecular dynamics simulations
- magnetic resonance imaging
- brain injury
- gas chromatography
- machine learning
- rna seq
- genome wide
- electronic health record
- pi k akt
- solid state
- capillary electrophoresis
- deep learning
- crystal structure