Liver and muscle circadian clocks cooperate to support glucose tolerance in mice.

Physiology is regulated by interconnected cell and tissue circadian clocks. Disruption of the rhythms generated by the concerted activity of these clocks is associated with metabolic disease. Here we tested the interactions between clocks in two critical components of organismal metabolism, liver and skeletal muscle, by rescuing clock function either in each organ separately or in both organs simultaneously in otherwise clock-less mice. Experiments showed that individual clocks are partially sufficient for tissue glucose metabolism, yet the connections between both tissue clocks coupled to daily feeding rhythms support systemic glucose tolerance. This synergy relies in part on local transcriptional control of the glucose machinery, feeding-responsive signals such as insulin, and metabolic cycles that connect the muscle and liver. We posit that spatiotemporal mechanisms of muscle and liver play an essential role in the maintenance of systemic glucose homeostasis and that disrupting this diurnal coordination can contribute to metabolic disease.

Deep learning to enable color vision in the dark.

Humans perceive light in the visible spectrum (400-700 nm). Some night vision systems use infrared light that is not perceptible to humans and the images rendered are transposed to a digital display presenting a monochromatic image in the visible spectrum. We sought to develop an imaging algorithm powered by optimized deep learning architectures whereby infrared spectral illumination of a scene could be used to predict a visible spectrum rendering of the scene as if it were perceived by a human with visible spectrum light. This would make it possible to digitally render a visible spectrum scene to humans when they are otherwise in complete "darkness" and only illuminated with infrared light. To achieve this goal, we used a monochromatic camera sensitive to visible and near infrared light to acquire an image dataset of printed images of faces under multispectral illumination spanning standard visible red (604 nm), green (529 nm) and blue (447 nm) as well as infrared wavelengths (718, 777, and 807 nm). We then optimized a convolutional neural network with a U-Net-like architecture to predict visible spectrum images from only near-infrared images. This study serves as a first step towards predicting human visible spectrum scenes from imperceptible near-infrared illumination. Further work can profoundly contribute to a variety of applications including night vision and studies of biological samples sensitive to visible light.

Synthesis and biological evaluation of Doxorubicin-containing conjugate targeting PSMA.

Prostate-specific membrane antigen (PSMA), also known as glutamate carboxypeptidase II (GCPII), has recently emerged as a prominent biomarker of prostate cancer (PC) and as an attractive protein trap for drug targeting. At the present time, several drugs and molecular diagnostic tools conjugated with selective PSMA ligands are actively evaluated in different preclinical and clinical trials. In the current work, we discuss design, synthesis and a preliminary biological evaluation of PSMA-specific small-molecule carrier equipped by Doxorubicin (Dox). We have introduced an unstable azo-linker between Dox and the carrier hence the designed compound does release the active substance inside cancer cells thereby providing a relatively high Dox concentration in nuclei and a relevant cytotoxic effect. In contrast, we have also synthesized a similar conjugate with a stable amide linker and it did not release the drug at all. This compound was predominantly accumulated in cytoplasm and did not cause cell death. Preliminary in vivo evaluation has showed good efficiency for the degradable conjugate against PC3-PIP(PSMA+)-containing xenograft mine. Thus, we have demonstrated that the conjugate can be used as a template to design novel analogues with improved targeting, anticancer activity and lower rate of potential side effects. 3D molecular docking study has also been performed to elucidate the underlying mechanism of binding and to further optimization of the linker area for improving the target affinity.

Synthesis and biological evaluation of novel doxorubicin-containing ASGP-R-targeted drug-conjugates.

Asialoglycoprotein receptor (ASGP-R) belongs to a wide family of C-type lectins and it is currently regarded as an attractive protein in the field of targeted drug delivery (TDD). It is abundantly expressed in hepatocytes and can be found predominantly on the sinusoidal surface especially of HepG2 cells. Therefore, ASGP-R can be used for the TDD of anticancer therapeutics against HCC and molecular diagnostic tools. To date, a variety of mono- and multivalent selective ASGP-R ligands have been discovered. Although many of these compounds have demonstrated a relatively high binding affinity towards the target, the reported synthetic schemes are not handled, complicated and include many non-trivial steps. In the current study, we describe a convenient and versatile synthetic approach to novel monovalent drug-conjugates containing N-acetyl-2-deoxy-2-aminogalactopyranose fragment as an ASGP-R-recognition "core-head" and well-known nonselective cytostatic - Doxorubicin (Dox). This is the first example of the direct conjugation of a drug molecule to the ASGP-targeted warhead by a really convenient manner via a simple linker sequence. The performed MTS-based biological evaluation in HepG2 cells revealed the novel conjugates as having anticancer activity. Confocal microscopy showed that the molecules readily penetrated HepG2 membrane and were mainly localized within the cytoplasm instead of the nucleus. Per contra, Dox under the same conditions demonstrated good anticancer activity and was predominantly concentrated in the nucleus. Therefore, we speculate that the amide "trigger" that we have used in this study for linker attachment is a sufficiently stable inside the cells to be enzymatically or spontaneously degraded. As a consequence, we did not observe the release of the drug. Ligands containing triggers that are more liable towards endogenous hydrolysis within the tissue of targeting are strongly required.

Synthesis and biological evaluation of novel mono- and bivalent ASGP-R-targeted drug-conjugates.

Asialoglycoprotein receptor (ASGP-R) is a promising biological target for drug delivery into hepatoma cells. Nevertheless, there are only few examples of small-molecule conjugates of ASGP-R selective ligand equipped by a therapeutic agent for the treatment of hepatocellular carcinoma (HCC). In the present work, we describe a convenient and versatile synthetic approach to novel mono- and multivalent drug-conjugates containing N-acetyl-2-deoxy-2-aminogalactopyranose and anticancer drug - paclitaxel (PTX). Several molecules have demonstrated high affinity towards ASGP-R and good stability under physiological conditions, significant in vitro anticancer activity comparable to PTX, as well as good internalization via ASGP-R-mediated endocytosis. Therefore, the conjugates with the highest potency can be regarded as a promising therapeutic option against HCC.