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The supramolecular palladium complex G-Pd, formed via self-assembly of the Pd-complex of guanidinium pillar[5]arene with Pd2+, was used to encapsulate doxorubicin to form G-Pd@DOX. The nanoparticles exhibit responsiveness to glutathione, controlled drug release, the ability to damage mitochondria, and potent anticancer activity while maintaining low toxicity towards normal cells. This work provides a good example for the application of pillararene-based palladium complexes in cancer therapy and is significant for the discovery of new medicines from supramolecular coordination complexes. [ABSTRACT FROM AUTHOR]

A near-infrared light-driven Janus nanomotor is constructed by collagenase-coated gold nanorods and chitosan-functionalized mesoporous organosilica nanoparticles with Mn2+ as the bridging ion. The nanomotors with excellent motility and collagenase activity can potently penetrate into tumors to sufficiently activate innate immune responses, significantly enhancing anti-tumor immune efficacy in vivo. [ABSTRACT FROM AUTHOR]

Hyperspectral anomaly detection is a vital aspect of remote sensing as it focuses on identifying pixels with distinct spectral–spatial properties in comparison to their background representations. However, existing methods for anomaly detection in HSIs often overlook the spatial correlation between pixels by converting the three-dimensional tensor data into its folded form of independent signatures, which may lead to insufficient detection performance. To address this limitation, we develop an anomaly detection algorithm from a tensor representation perspective, which begins by separating the observed hyperspectral image into background and anomaly cubes. We leverage the tensor nuclear norm (TNN) to capture the inherent low-rank structure of background cube globally. This allows us to effectively model and represent the background information. To further improve the detection performance, we introduce spatial–spectral total variation (SSTV) for effectively promoting piecewise smoothness of the background tensor, aiding in the identification of anomalies. Additionally, we incorporate RX-derived attention weights-guided ℓ 2 , 1 norm. This encourages group sparsity of anomalous pixels, improving the precision of anomaly detection. To solve our proposed method, we employ the alternating direction method of multipliers (ADMM), ensuring guaranteed convergence and efficient computation. Through experiments on different kinds of hyperspectral real datasets, we have demonstrated that our method surpasses several state-of-the-art detectors. [ABSTRACT FROM AUTHOR]

Background: Ischemia reperfusion injury (IRI)‐induced acute kidney injury (AKI) may occur after renal ischemic injury. There is a lack of an accurate and comprehensive detection technique for IRI‐AKI. Purpose: To longitudinally evaluate IRI‐AKI in rats by renal structure, function, and metabolites using multi‐parametric MRI (mpMRI). Study Type: Prospective. Animal Model: Forty‐eight rats undergoing IRI‐AKI. Field Strength/Sequence: 7‐T, T1 mapping, and arterial spin labeling (ASL): echo planar imaging (EPI) sequence; blood oxygen level‐dependent (BOLD): gradient recalled echo (GRE) sequence; T2 mapping, quantitative magnetization transfer (qMT), and chemical exchange saturation transfer (CEST): rapid acquisition with relaxation enhancement (RARE) sequence. Assessment: The mpMRI for IRI‐AKI was conducted at 0 (control), 1, 3, 7, 14, and 28 days, all included eight rats. The longitudinal mpMRI signal of manually outlined cortex, outer stripe of the outer medulla (OSOM), inner stripe of the outer medulla, and medulla plus pelvis were calculated and compared, their diagnosis performance for IRI‐AKI also been evaluated. Statistical Tests: Pearson correlations analysis for correlation between mpMRI signal and renal injury, unpaired t‐tests for comparing the signal changes, and receiver operating characteristics (ROC) analysis was used to identify most sensitive indicator of mpMRI. A P‐value <0.05 was considered statistically significant. Results: Compared with control kidneys, the T1 and T2 values of the cortex and medulla in IRI kidneys increased and reached their highest values on day 14, and the kidneys also showed the most severe edema and segments blurred. The RBF in the cortex and OSOM showed a significant decline after day 3. The BOLD signal in the OSOM largest increased on day 28. The cortical PSR and the amine‐CEST both decreased with IRI‐AKI progression, and amine‐CEST achieved the highest AUC for the diagnosis (0.899). Data Conclusion: Multi‐parametric MRI may show comprehensive variations in IRI‐AKI, and amine‐CEST may exhibit the highest accuracy for diagnosis of IRI‐AKI. Level of Evidence: 1 Technical Efficacy: Stage 2 [ABSTRACT FROM AUTHOR]

Mild magnetic hyperthermia therapy (MMHT) holds great potential in treating deep‐seated tumors, but its efficacy is impaired by the upregulation of heat shock proteins (HSPs) during the treatment process. Herein, Lac‐FcMOF, a lactose derivative (Lac‐NH2) modified paramagnetic metal‐organic framework (FcMOF) with magnetic hyperthermia property and thermal stability, has been developed to enhance MMHT therapeutic efficacy. In vitro studies showed that Lac‐FcMOF aggravates two‐way regulated redox dyshomeostasis (RDH) via magnetothermal‐accelerated ferricenium ions‐mediated consumption of glutathione and ferrocene‐catalyzed generation of ∙OH to induce oxidative damage and inhibit heat shock protein 70 (HSP70) synthesis, thus significantly enhancing the anti‐cancer efficacy of MMHT. Aggravated RDH promotes glutathione peroxidase 4 inactivation and lipid peroxidation to promote ferroptosis, which further synergizes with MMHT. H22‐tumor‐bearing mice treated with Lac‐FcMOF under alternating magnetic field (AMF) demonstrated a 90.4% inhibition of tumor growth. This work therefore provides a new strategy for the simple construction of a magnetic hyperthermia agent that enables efficient MMHT by downregulating HSPs and promoting ferroptosis through the aggravation of two‐way regulated RDH. [ABSTRACT FROM AUTHOR]