Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast

The thermal modulator based on the near-field radiative heat transfer has wide applications in thermoelectric diodes, thermoelectric transistors, and thermal storage. However, the design of optimal near-field thermal radiation structure is a complex and challenging problem due to the tremendous number of degrees of freedom. In this work, we have proposed a data-driven machine learning workflow to efficiently design multilayer hyperbolic metamaterials composed of ${\alpha}$-MoO$_{\rm 3}$ for near-field thermal radiative modulator with high modulation contrast. By combining the multilayer perceptron and Bayesian optimization, the rotation angle, layer thickness and gap distance of the multilayer metamaterials are optimized to achieve a maximum thermal modulation contrast ratio of 6.29. This represents a 97% improvement compared to previous single layer structure. The large thermal modulation contrast is mainly attributed to the alignment and misalignment of hyperbolic plasmon polaritons and hyperbolic surface phonon polaritons of each layer controlled by the rotation. The results provide a promising way for accelerating the designing and manipulating of near-field radiative heat transfer by anisotropic hyperbolic materials through the data-driven style

MDTS: automatic complex materials design using Monte Carlo tree search

<p>Complex materials design is often represented as a black-box combinatorial optimization problem. In this paper, we present a novel python library called MDTS (Materials Design using Tree Search). Our algorithm employs a Monte Carlo tree search approach, which has shown exceptional performance in computer Go game. Unlike evolutionary algorithms that require user intervention to set parameters appropriately, MDTS has no tuning parameters and works autonomously in various problems. In comparison to a Bayesian optimization package, our algorithm showed competitive search efficiency and superior scalability. We succeeded in designing large Silicon-Germanium (Si-Ge) alloy structures that Bayesian optimization could not deal with due to excessive computational cost. MDTS is available at <a href="https://github.com/tsudalab/MDTS" target="_blank">https://github.com/tsudalab/MDTS</a>.</p

Overcoming the Blood–Brain Barrier for Delivering Drugs into the Brain by Using Adenosine Receptor Nanoagonist

The extremely low permeability of the blood–brain barrier (BBB) poses the greatest impediment in the treatment of central nervous system (CNS) diseases. Recent work indicated that BBB permeability can be up-regulated by activating A_2A adenosine receptor (AR), which temporarily increases intercellular spaces between the brain capillary endothelial cells. However, due to transient circulation lifetime of adenosine-based agonists, their capability to enhance brain delivery of drugs, especially macromolecular drugs, is limited. In this work, a series of nanoagonists (NAs) were developed by labeling different copies of A_2A AR activating ligands on dendrimers. <i>In vitro</i> transendothelial electrical resistance measurements demonstrated that the NAs increased permeability of the endothelial cell monolayer by compromising the tightness of tight junctions, the key structure that restricts the entry of blood-borne molecules into the brain. <i>In vivo</i> imaging studies indicated the remarkably up-regulated brain uptake of a macromolecular model drug (45 kDa) after intravenous injection of NAs. Autoradiographic imaging showed that the BBB opening time-window can be tuned in a range of 0.5–2.0 h by the NAs labeled with different numbers of AR-activating ligands. By choosing a suitable NA, it is possible to maximize brain drug delivery and minimize the uncontrollable BBB leakage by matching the BBB opening time-window with the pharmacokinetics of a therapeutic agent. The NA-mediated brain drug delivery strategy holds promise for the treatment of CNS diseases with improved therapeutic efficiency and reduced side-effects

The amount of Gd in each organ.

<p>(A) The levels of Gd in the liver and spleen are much higher than that of tumor tissues; the concentration of Gd in the tumor reached peak at day 5. (B) A linear correlation (<i>r</i> = −0.898, <i>p</i><0.05) was found between the averaged Gd content in the tumor and intratumoral T₁ relaxation time. (C) The correlation between the averaged Gd content in the tumor and CNR of the tumor was significant (<i>r</i> = 0.869, <i>p</i><0.05).</p

MRI exams demonstrated the homing of labeled EPCs into tumors.

<p>(A) Sprinkles of hyperintense region at the margin of the tumor (<i>arrows</i>) on T₁-weighted images indicate the presence of Conjugate <b>1</b> labeled EPCs in the tumor as early as 3 days after transplantation. Significant hyperintense areas within the tumor were also observed at day 5 and day 7. (B) A representative T₁-weighted image, T₂-weighted image and pseudo-color T₁ map obtained at day 5. Images of fluorescent microscopy showed that Cy5.5 positive cells were found at the corresponding areas of high signal intensity (<i>arrows</i>) on T₁-weighted images. Scale bar = 30 µm (C) The CNR from the region of interest of group 1 reached the maximum at day 5. The difference between group 1 and 2 in CNR was statistically significant (<i>p</i><0.05, <i>n</i> = 3). (D) Coinciding with the signal enhancement detected from T₁-weighted images, intratumoral T₁ relaxation time initially decreased to (1.60±0.06)×10³ ms at day 3 and persisted at (1.62±0.09)×10³ ms until day 5. The mean value recovered to the base line two days later. The significant decrease of T₁ relaxation time (<i>p</i><0.001, <i>n</i> = 3) confirmed the homing property of transplanted EPCs. (E) Although the accumulation of Conjugate <b>1</b> labeled EPCs in the liver did not induce significant contrast enhancement, a significant decrease of hepatic T₁ relaxation time was observed from day 3 to day 7 (<i>p</i><0.05, <i>n</i> = 3). (F) During the three weeks of monitoring period, no significant difference in tumor volume was found between each group at each time point (<i>p</i>>0.05, <i>n</i> = 3).</p

Non-invasive Imaging of Endothelial Progenitor Cells in Tumor Neovascularization Using a Novel Dual-modality Paramagnetic/Near-Infrared Fluorescence Probe

<div><h3>Objective</h3><p>Bone-marrow derived endothelial progenitor cells (EPCs) play an important role in tumor neovasculature. Due to their tumor homing property, EPCs are regarded as promising targeted vectors for delivering therapeutic agents in cancer treatment. Consequently, non-invasive confirmation of targeted delivery via imaging is urgently needed. This study shows the development and application of a novel dual-modality probe for <em>in vivo</em> non-invasively tracking of the migration, homing and differentiation of EPCs.</p> <h3>Methods</h3><p>The paramagnetic/near-infrared fluorescence probe Conjugate <b>1</b> labeled EPCs were systemically transplanted into mice bearing human breast MDA-MB-231 tumor xenografts. Magnetic resonance imaging (MRI) and near-infrared (NIR) fluorescence optical imaging were performed at different stages of tumor development. The homing of EPCs and the tumor neovascularization were further evaluated by immunofluorescence.</p> <h3>Results</h3><p>Conjugate <b>1</b> labeled EPCs can be monitored <em>in vivo</em> by MRI and NIR fluorescence optical imaging without altering tumor growth for up to three weeks after the systemic transplantation. Histopathological examination confirmed that EPCs were recruited into the tumor bed and then incorporated into new vessels two weeks after the transplantation. Tumor size and microvessel density was not influenced by EPCs transplantation in the first three weeks.</p> <h3>Conclusions</h3><p>This preclinical study shows the feasibility of using a MRI and NIR fluorescence optical imaging detectable probe to non-invasively monitor transplanted EPCs and also provides strong evidence that EPCs are involved in the development of endothelial cells during the tumor neovascularization.</p> </div

Histopathological examinations.

<p>Histopathological examinations were performed to validate imaging results. (A) Cy5.5 and anti-rat endothelial progenitor cell antibody positive cells (<i>arrow</i>) were observed in the connective tissue or at the tumor margin at day 3. Scale bar = 50 µm. In contrast, no Alex Fluo 488 signal was observed in the control group. (B) Sections collected at day 7 showed significant double positive cells (<i>arrow</i>) inside the tumor. Scale bar = 50 µm. (C) The numbers of Cy5.5 positive cells increased in tumors (30.75±6.24 cells/field of view at day 3 vs. 43.13±9.17 cells/field of view at day 7, <i>p</i><0.05, <i>n</i> = 15), but remained the same afterwards. (D) CD31 and Cy5.5 double positive cells (<i>arrow</i>) were observed at the vessel walls inside the tumor at the day 14 (<i>asterisk</i> represent the lumen). Scale bar = 30 µm. (E) CD31 positive microvessels were counted in MVD quantification at 7, 14 and 21 days after cell transplantation. Compared to the control, no significant differences were found between the groups (<i>p</i>>0.05, <i>n</i> = 15).</p

Enhancement of fluorescence intensity at the tumor area in optical imaging.

<p>(A) Near infrared fluorescence images and color-coded fluorescence images of decubitus and lateral position of a mouse post transplantation show peak signal intensity appeared at day 5 (Fluo, fluorescence; C.C. fluo, color-coded fluorescence). (B) A strong Cy5.5 fluorescence emission was detected in the tumor tissue 5 days after EPC transplantation and remained until day 7. (C) The peak value of average fluorescent signal intensity was measured at day 5 with (9. 18±1.98)×10⁻³ scaled counts/s. Signal intensity changes from day 3 to day 5 in group 1 were statistically significant (<i>p</i><0.001, <i>n</i> = 3). (D) The signal ratio of tumors (signal ratio was calculated as signal intensities of the tumor with labeled EPCs over the control tumor with unlabeled EPCs) reached the maximum of 8.34±2.55 at day 5. (E) A linear correlation between averaged fluorescent signal intensity and intratumoral T₁ relaxation time was observed (<i>r</i> = −0.967, <i>p</i><0.01).</p

<i>Ex vivo</i> NIR imaging of other organs.

<p>(A) Color-coded fluorescence images indicated that strong signal enhancement in the liver persisted from day 3 to day 7. Weak signals were detected from other organs at day 1 and 3. (B) The levels of liver signal intensity of group 1 and 2 were shown. Significant fluorescence intensity differences in the liver between group 1 and 2 were observed from day 1 to day 7 (<i>p</i><0.001, <i>n</i> = 3). The peak value was detected at day 3. (C) The liver signal ratio between group 1 and 2 was 9.34±0.68 at 3 days post transplantation of EPCs.</p

Cellular morphology of cultured EPCs.

<p>(A) The adherent cells showed irregular shape and began to form clusters 5 days after incubation. (B) A typical “cobblestone” appearance which is the characteristics of an endothelial cell monolayer was found at day 10. (C) Cells passaged 3 times at a ratio of 1∶2 with an average of 7 days of growth showed homogenous spindle shaped morphology. (D) Fluorescence microscopy revealed the uptake of Conjugate <b>1</b> by adherent cells with positive rhodamine signals. (E) These cells were stained positively with FITC-UEA I, DiI-Ac-LDL and other endothelial progenitor cell markers, and showed low expression of endothelial cell marker CD31.</p