miRNA-Based Diagnosis of Schizophrenia Using Machine Learning.

Diagnostic practices for schizophrenia are unreliable due to the lack of a stable biomarker. However, machine learning holds promise in aiding in the diagnosis of schizophrenia and other neurological disorders. Dysregulated miRNAs were extracted from public sources.

Inhibitors of soluble epoxide hydrolase and cGAS/STING repair defects in amyloid-β clearance underlying vascular complications of Alzheimer's disease.

BackgroundAlzheimer's disease (AD) and its monoclonal antibody therapies are associated with brain vasculitis and amyloid-related imaging abnormalities. The naturally-formed epoxides (EpFAs) of polyunsaturated fatty acids (PUFAs), such as 11,12-epoxyeicosatetraenoic acid (EEQ), are anti-inflammatory and pro-resolution mediators, which are increased by dietary supplementation with ω-3 PUFAs. EpFAs are, however, enzymatically hydrolyzed by soluble epoxide hydrolase (sEH) in AD patients' macrophages in vivo and in vitroObjectiveTo repair amyloid-β 1-42 (Aβ) degradation by AD macrophages using the inhibitors of a) soluble epoxide hydrolase (sEHIs), termed TPPU and EC5026, together with EpFAs, or b) STING pathway termed H-151.

OLIG2 mediates a rare targetable stem cell fate transition in sonic hedgehog medulloblastoma.

Functional cellular heterogeneity in tumours often underlies incomplete response to therapy and relapse. Previously, we demonstrated that the growth of the paediatric brain malignancy, sonic hedgehog subgroup medulloblastoma, is rooted in a dysregulated developmental hierarchy, the apex of which is defined by characteristically quiescent SOX2 stem-like cells. Integrating gene expression and chromatin accessibility patterns in distinct cellular compartments, we identify the transcription factor Olig2 as regulating the stem cell fate transition from quiescence to activation, driving the generation of downstream neoplastic progenitors.

Suppressing recurrence in Sonic Hedgehog subgroup medulloblastoma using the OLIG2 inhibitor CT-179.

OLIG2-expressing tumor stem cells have been shown to drive recurrence in Sonic Hedgehog (SHH)-subgroup medulloblastoma (MB) and patients urgently need specific therapies to target this tumor cell population. Here, we investigate the therapeutic potential of the brain-penetrant orally bioavailable, OLIG2 inhibitor CT-179, using SHH-MB explant organoids, PDX and GEM SHH-MB models. We find that CT-179 disrupts OLIG2 dimerization, phosphorylation and DNA binding and alters tumor cell-cycle kinetics, increasing differentiation and apoptosis.

Machine-learning diagnostics of breast cancer using piRNA biomarkers.

Background And Objectives: Prior studies have shown that small non-coding RNAs (sncRNAs) are associated with cancer occurrence or development. Recently, a newly discovered class of small ncRNAs known as PIWI-interacting RNAs (piRNAs) have been found to play a vital role in physiological processes and cancer initiation. This study aims to utilize piRNAs as innovative, noninvasive diagnostic biomarkers for breast cancer.