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Neutral Inonotus obliquus polysaccharide (IOP-W): Structural characterization and p53/MAPK-mediated apoptotic activity against pancreatic Cancer unveiled through multi-omics

Int J Biol Macromol. 2026 Sep 25:154618. doi: 10.1016/j.ijbiomac.2026.154618. Online ahead of print.

ABSTRACT

Inonotus obliquus is a medicinal fungus growing on birch bark. A neutral polysaccharide (IOP-W, Mw = 8.222 kDa) was isolated from its crude polysaccharides via sequential DEAE DE-52 cellulose column and Sephadex G-200 gel filtration column chromatography. IOP-W, composed primarily of galactose, glucose, and mannose, was structurally characterized by UV-Vis, FT-IR, GC-MS, and NMR as a glucan containing β†’4)-Ξ±-D-Glcp-(1β†’, β†’6)-Ξ²-D-Glcp-(1β†’, β†’3)-Ξ²-D-Glcp-(1β†’, β†’4,6)-Ξ±-D-Glcp-(1β†’, terminal Ξ±-D-Glcp, and Ξ²-D-Glcp reducing end. AFM confirmed its aggregated spherical morphology. IOP-W exerted antitumor activity against MIA PaCa-2 cells by modulating apoptosis and migration. Metabolomics revealed effects on amino acids, alkaloids, lipids, and nucleotides involving 20 pathways, while transcriptomic KEGG analysis showed regulation of MAPK, TNF, and p53 signaling. In vivo investigations employing small animal MRI technology have validated that tumor growth is significantly suppressed in animal models, accompanied by elevated spleen index and improved physiological parameters. Western blotting and immunohistochemistry revealed altered expression of Parp-1, p53, Bax/Bcl-2, p-ERK1/2, p-JNK1, NF-ΞΊB, vimentin, and MMP-9. These findings indicate that IOP-W inhibits pancreatic cancer via the p53/MAPK pathway, highlighting its potential as a fungal polysaccharide-based therapeutic candidate.

PMID:42790566 | DOI:10.1016/j.ijbiomac.2026.154618

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NDRG2 orchestrates circadian clock stability to suppress tumorigenesis and potentiate oxaliplatin response in colorectal cancer

Oncogene, Published online: 19 May 2026; doi:10.1038/s41388-026-03823-8

NDRG2 orchestrates circadian clock stability to suppress tumorigenesis and potentiate oxaliplatin response in colorectal cancer
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RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation

arXiv:2604.03454v1 Announce Type: cross Abstract: Rare diseases often manifest with distinctive facial phenotypes in children, offering valuable diagnostic cues for clinicians and AI-assisted screening systems. However, progress in this field is severely limited by the scarcity of curated, ethically sourced facial data and the high similarity among phenotypes across different conditions. To address these challenges, we introduce RDFace, a curated benchmark dataset comprising 456 pediatric facial images spanning 103 rare genetic conditions (average 4.4 samples per condition). Each ethically verified image is paired with standardized metadata. RDFace enables the development and evaluation of data-efficient AI models for rare disease diagnosis under real-world low-data constraints. We benchmark multiple pretrained vision backbones using cross-validation and explore synthetic augmentation with DreamBooth and FastGAN. Generated images are filtered via facial landmark similarity to maintain phenotype fidelity and merged with real data, improving diagnostic accuracy by up to 13.7% in ultra-low-data regimes. To assess semantic validity, phenotype descriptions generated by a vision-language model from real and synthetic images achieve a report similarity score of 0.84. RDFace establishes a transparent, benchmark-ready dataset for equitable rare disease AI research and presents a scalable framework for evaluating both diagnostic performance and the integrity of synthetic medical imagery.
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METTL16 enhances proteasome inhibitor resistance in multiple myeloma by inhibiting eIF2Ξ±-PERK interaction and promoting PSMB5 translation

Oncogene, Published online: 13 March 2026; doi:10.1038/s41388-026-03706-y

METTL16 enhances proteasome inhibitor resistance in multiple myeloma by inhibiting eIF2Ξ±-PERK interaction and promoting PSMB5 translation
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