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Yousef, J.

Publications and source records attributed to Yousef, J..

2 recordsLinked to original sources

Scanning ultrasound improves memory and enhances functional outcomes in Alzheimer mice in the absence of amyloid-beta reduction

A prevalent view in treating age-dependent disorders including Alzheimers disease (AD) is that the underlying amyloid plaque pathology must be targeted for cognitive improvements. In contrast, we report here that repeated scanning ultrasound (SUS) treatment at 1 MHz frequency can ameliorate memory deficits in the APP23 mouse model of AD without reducing amyloid-{beta} (A{beta}) burden. Different from previous studies that had shown A{beta} clearance as a consequence of blood-brain barrier (BBB) opening, here, the BBB was not opened as no microbubbles were used. Quantitative proteomics and functional magnetic resonance imaging revealed that ultrasound induced long-lasting functional changes that correlate with the improvement in memory. Intriguingly, the treatment was more effective at a higher frequency (1MHz) than at a frequency within the range currently explored in clinical trials in AD patients (286 kHz). Together, our data suggest frequency-dependent bio-effects of ultrasound and a dissociation of cognitive improvement and A{beta} clearance, with important implications for the design of trials for AD therapies. SummaryThe therapeutic effect of ultrasound on memory in AD mice leads to altered protein expression and improved functional connectivity in the absence of amyloid-{beta} removal. Of two frequencies explored, the higher ultrasound frequency (1 MHz) is more effective.

neuroscience↗

TGF-beta1 induced S100 family protein expression is associated with epithelial to mesenchymal transition states and poor survival in pancreatic cancer

Epithelial-mesenchymal transition (EMT) is a continuum that includes epithelial, partial EMT (P-EMT) and mesenchymal states, each of which are associated with cancer progression, invasive capabilities and ultimately metastasis. We have employed a lineage traced sporadic model of pancreatic cancer to generate a murine organoid biobank from primary and secondary tumors, including sublines that have undergone P-EMT and complete EMT (C-EMT). Using an unbiased proteomics approach, we found that the morphology of the organoids predicts the EMT state, with solid organoids associated with a P-EMT signature. We also observed that exogenous TGF{beta}1 induces a solid organoid morphology that is associated with changes in the S100 family, C-EMT and the formation of high-grade tumors. S100A4 may represent a useful biomarker to predict EMT state, disease progression and outcome for pancreatic cancer patients.

cancer biology↗