Role of membrane biophysics in Alzheimer’s–related cell pathways

Cellular membrane alterations are commonly observed in many diseases, including Alzheimer's disease (AD). Membrane biophysical properties, such as membrane molecular order, membrane fluidity, organization of lipid rafts, and adhesion between membrane and cytoskeleton, play an important role in various cellular activities and functions. While membrane biophysics impacts a broad range of cellular pathways, this review addresses the role of membrane biophysics in amyloid-β peptide aggregation, Aβ-induced oxidative pathways, amyloid precursor protein processing, and cerebral endothelial functions in AD. Understanding the mechanism(s) underlying the effects of cell membrane properties on cellular processes should shed light on the development of new preventive and therapeutic strategies for this devastating disease

Cylindrical illumination with angular coupling for whole-prostate photoacoustic tomography

Current diagnosis of prostate cancer relies on histological analysis of tissue samples acquired by biopsy, which could benefit from real-time identification of suspicious lesions. Photoacoustic tomography has the potential to provide real-time targets for prostate biopsy guidance with chemical selectivity, but light delivered from the rectal cavity has been unable to penetrate to the anterior prostate. To overcome this barrier, a urethral device with cylindrical illumination is developed for whole-prostate imaging, and its performance as a function of angular light coupling is evaluated with a prostate-mimicking phantom

Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets

Prostate cancer is poorly visualized on ultrasonography (US) so that current biopsy requires either a templated technique or guidance after fusion of US with magnetic resonance imaging. Here we determined the ability for photoacoustic tomography (PAT) and US followed by texture-based image processing to identify prostate biopsy targets. K-means clustering feature learning and testing was performed on separate datasets comprised of 1064 and 1197 nm PAT and US images of intact, ex vivo human prostates. 1197 nm PAT was found to not contribute to the feature learning, and thus, only 1064 nm PAT and US images were used for final feature testing. Biopsy targets, determined by the tumor-assigned pixels' center of mass, located 100% of the primary lesions and 67% of the secondary lesions. In conclusion, 1064 nm PAT and US texture-based feature analysis provided successful prostate biopsy targets

Device and Image Analysis Advancements Towards Photoacoustic and Ultrasound Tomography-Guided Prostate Biopsy

To confirm the presence of prostate cancer which is the most incident visceral cancer in men, prostate biopsies are acquired using the magnetic resonance imaging fusion-guided prostate biopsy protocol. For this approach annotated magnetic resonance imaging is overlaid onto realtime ultrasound imaging to guide sampling of suspicious regions marked by uroradiologists. Additional biopsy samples are acquired via the previous clinical gold standard, i.e. the templated 12-core transrectal ultrasound-guided prostate biopsy protocol. While this approach improves the sensitivity of the prostate biopsy, a real-time, multiparametric imaging method of identifying biopsy targets could help overcome some of the inherent pitfalls of the magnetic resonance imaging fusion-guided prostate biopsy. Since ultrasound is used during the prostate biopsy, photoacoustic tomography, e.g. a hybrid imaging modality in which clinical ultrasound probes can be used to detect centimeters deep chemical alterations, has the potential to provide real-time targeting during biopsy. The translation of photoacoustic tomography to the clinic for prostate biopsy has been prevented by engineering challenges, which include identification of a biomarker for detecting suspicious regions of tissue and light delivery to the prostate for photoacoustic signal generation. Here, we present a vascular texture analysis method that identified 100% of primary and 67% of secondary tumors in the testing data set of ex vivo human prostate specimens. This method can be applied to future in vivo photoacoustic and ultrasound tomography of human prostates after further optimization of light delivery for photoacoustic tomography. To progress towards achieving this aim, we developed a transurethral light delivery device with angular light coupling method. By controlling the launch angle of the light into the fiber, the conversion of forward to side propagating energy can be improved from 27% to 98%, and the longitudinal emission profile can be controlled in order to illuminate the whole prostate simultaneously

IFITM Proteins Restrict Viral Membrane Hemifusion

<div><p>The interferon-inducible transmembrane (IFITM) protein family represents a new class of cellular restriction factors that block early stages of viral replication; the underlying mechanism is currently not known. Here we provide evidence that IFITM proteins restrict membrane fusion induced by representatives of all three classes of viral membrane fusion proteins. IFITM1 profoundly suppressed syncytia formation and cell-cell fusion induced by almost all viral fusion proteins examined; IFITM2 and IFITM3 also strongly inhibited their fusion, with efficiency somewhat dependent on cell types. Furthermore, treatment of cells with IFN also markedly inhibited viral membrane fusion and entry. By using the Jaagsiekte sheep retrovirus envelope and influenza A virus hemagglutinin as models for study, we showed that IFITM-mediated restriction on membrane fusion is not at the steps of receptor- and/or low pH-mediated triggering; instead, the creation of hemifusion was essentially blocked by IFITMs. Chlorpromazine (CPZ), a chemical known to promote the transition from hemifusion to full fusion, was unable to rescue the IFITM-mediated restriction on fusion. In contrast, oleic acid (OA), a lipid analog that generates negative spontaneous curvature and thereby promotes hemifusion, virtually overcame the restriction. To explore the possible effect of IFITM proteins on membrane molecular order and fluidity, we performed fluorescence labeling with Laurdan, in conjunction with two-photon laser scanning and fluorescence-lifetime imaging microscopy (FLIM). We observed that the generalized polarizations (GPs) and fluorescence lifetimes of cell membranes expressing IFITM proteins were greatly enhanced, indicating higher molecularly ordered and less fluidized membranes. Collectively, our data demonstrated that IFITM proteins suppress viral membrane fusion before the creation of hemifusion, and suggested that they may do so by reducing membrane fluidity and conferring a positive spontaneous curvature in the outer leaflets of cell membranes. Our study provides novel insight into the understanding of how IFITM protein family restricts viral membrane fusion and infection.</p> </div

Label-Free Vibrational Spectroscopic Imaging of Neuronal Membrane Potential

Detecting membrane potentials is critical for understanding how neuronal networks process information. We report a vibrational spectroscopic signature of neuronal membrane potentials identified through hyperspectral stimulated Raman scattering (SRS) imaging of patched primary neurons. High-speed SRS imaging allowed direct visualization of puff-induced depolarization of multiple neurons in mouse brain slices, confirmed by simultaneous calcium imaging. The observed signature, partially dependent on sodium ion influx, is interpreted as ion interactions on the CH₃ Fermi resonance peak in proteins. By implementing a dual-SRS balanced detection scheme, we detected single action potentials in electrically stimulated neurons. These results collectively demonstrate the potential of sensing neuronal activities at multiple sites with a label-free vibrational microscope