Glycoengineered extracellular vesicles released from antibacterial hydrogel facilitate diabetic wound healing by promoting angiogenesis.

Diabetic wounds have become a global healthcare burden owing to impaired angiogenesis and persistent infections. Extracellular vesicles (EVs) can improve diabetic wounds, though their targeting ability is limited. In this study, we investigated the performance of a novel hydrogel dressing comprised of gelatin methacryloyl, glycoengineered EVs, and polylysine in treating infected diabetic wounds.

Design and Synthesis of BODIPY and Its Application in Inhibiting Intestinal Flora.

BODIPY-based photosensitizers were synthesized and tested for antimicrobial photodynamic therapy, revealing structural modifications enhancing the photodynamic therapy (PDT) effects. This research may lead to new PDT strategies for treating bacterial infections, including those resistant to traditional antibiotics, and offers insights into the prevention and treatment of Alzheimer's disease through gut microbiota regulation.

XElemNet: towards explainable AI for deep neural networks in materials science.

Recent progress in deep learning has significantly impacted materials science, leading to accelerated material discovery and innovation. ElemNet, a deep neural network model that predicts formation energy from elemental compositions, exemplifies the application of deep learning techniques in this field. However, the "black-box" nature of deep learning models often raises concerns about their interpretability and reliability.

Ferroptosis-related oxaliplatin resistance in multiple cancers: Potential roles and therapeutic Implications.

Oxaliplatin (OXA)-based therapy is effective in the treatment of multiple cancers. However, primary or acquired OXA resistance remains an emerging challenge for its clinical application. Ferroptosis is an iron-dependent mode of cell death that has been demonstrated to play an essential role in the chemoresistance of many drugs, including OXA.

Self-immolative poly(thiocarbamate) with localized HS signal amplification for precise cancer imaging and therapy.

Hydrogen sulfide is essential in numerous physiological and pathological processes and has emerged as a promising cancer imaging and signaling molecule and a potentially versatile therapeutic agent. However, the endogenous levels of hydrogen sulfide remain insufficient to perform its biological functions, and thus, developing novel strategies that amplify hydrogen sulfide signals at lesion sites is of increasing interest. In this work, a nanoplatform (SNP) based on hydrogen sulfide-responsive self-immolative poly(thiocarbamate) with localized hydrogen sulfide signal amplification capability is developed to encapsulate a hydrogen sulfide-responsive fluorescent probe (e.

Inhibition of Cutaneous TRPV3 Channels by Natural Caffeic Acid for the Alleviation of Skin Inflammation.

Natural caffeic acid (CA) and its analogues have been studied for their potential applications in the treatment of various inflammatory and infectious skin diseases. However, the molecular mechanism underlying the effects of the CA remains largely unknown. Here, we report that CA and its two analogues, caffeic acid phenethyl ester (CAPE) and caffeic acid methyl caffeate (CAMC), inhibit TRPV3 currents in their concentration- and structure-dependent manners with IC values ranging from 102 to 410 μM.

Inhibition of TTX-S Na currents by a novel blocker QLS-278 for antinociception.

Genetic loss-of-function mutations of Nav1.7 channel, abundantly expressed in peripheral nociceptive neurons, cause congenital insensitivity to pain (CIP) in humans, indicating that selective inhibition of the channel may lead to potential therapy of pain disorders. In this study, we investigated a novel compound, 5-chloro-N-(cyclopropylsulfonyl)-2-fluoro-4-(2-(8-(furan-2-ylmethyl)-8-azaspiro [4.

Identification of a new retigabine derivative with improved photostability for selective activation of neuronal Kv7 channels and antiseizure activity.

Objective: Pharmacological activation of neuronal Kv7 channels by the antiepileptic drug retigabine (RTG; ezogabine) has been proven effective in treating partial epilepsy. However, RTG was withdrawn from the market due to the toxicity caused by its phenazinium dimer metabolites, leading to peripheral skin discoloration and retinal abnormalities. To address the undesirable metabolic properties of RTG and prevent the formation of phenazinium dimers, we made chemical modifications to RTG, resulting in a new RTG derivative, 1025c, N,N'-{4-[(4-fluorobenzyl) (prop-2-yn-1-yl)amino]-1,2-phenylene}bis(3,3-dimethylbutanamide).

The Growth and Shape Evolution of Indium Nanoplates Studied by In Situ Liquid Cell TEM.

Understanding the growth mechanisms of nanomaterials is crucial for effectively controlling their morphology which may affect their properties. Here, the growth process of indium nanoplates is studied using in situ liquid cell transmission electron microscopy. Quantitative analysis shows that the growth of indium nanoplate is limited by surface reaction.

Systemic immune-inflammation index and serum glucose-potassium ratio predict poor prognosis in patients with spontaneous cerebral hemorrhage: An observational study.

Recent studies have shown systemic inflammatory response, serum glucose, and serum potassium are associated with poor prognosis in spontaneous intracerebral hemorrhage (SICH). This retrospective study aimed to investigate the association of systemic immune-inflammatory index (SII) and serum glucose-potassium ratio (GPR) with the severity of disease and the poor prognosis of patients with SICH at 3 months after hospital discharge. We reviewed the clinical data of 105 patients with SICH, assessed the extent of their disease using Glasgow Coma Scale score, National Institutes of Health Stroke Scale (NIHSS) score, and hematoma volume, and categorized them into a good prognosis group (0-3 scores) and a poor prognosis group (4-6 scores) based on their mRS scores at 3 months after hospital discharge.

Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation.

Large-scale datasets with point-wise semantic and instance labels are crucial to 3D instance segmentation but also expensive. To leverage unlabeled data, previous semi-supervised 3D instance segmentation approaches have explored self-training frameworks, which rely on high-quality pseudo labels for consistency regularization. They intuitively utilize both instance and semantic pseudo labels in a joint learning manner.

Ultrasound-Activated PROTAC Prodrugs Overcome Immunosuppression to Actuate Efficient Deep-Tissue Sono-Immunotherapy in Orthotopic Pancreatic Tumor Mouse Models.

The degradation of oncoproteins mediated by proteolysis-targeting chimera (PROTAC) has emerged as a potent strategy in cancer therapy. However, the clinical application of PROTACs is hampered by challenges such as poor water solubility and off-target adverse effects. Herein, we present an ultrasound (US)-activatable PROTAC prodrug termed NP for actuating efficient sono-immunotherapy in a spatiotemporally controllable manner.

Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery.

Conjugated organic photoredox catalysts (OPCs) can promote a wide range of chemical transformations. It is challenging to predict the catalytic activities of OPCs from first principles, either by expert knowledge or by using a priori calculations, as catalyst activity depends on a complex range of interrelated properties. Organic photocatalysts and other catalyst systems have often been discovered by a mixture of design and trial and error.

Empowering caregivers of children with bronchiolitis obliterans: The effectiveness of an internet-based follow-up platform.

Objective: Limited evidence on home care and need for long-term individualized follow-up highlight the importance of developing an Internet-based follow-up platform to support caregivers of children with Bronchiolitis Obliterans (BO). This Study aims to explore and test the potential benefits of this platform by comparing family management, medication compliance and clinical systems.

Study Design And Methods: A two-arm, single-blind randomized controlled trial was conducted on 168 children with BO and their families from January 2022 to October 2022.

Refining the rheological characteristics of high drug loading ointment via SDS and machine learning.

This paper presents an optimized preparation process for external ointment using the Definitive Screening Design (DSD) method. The ointment is a Traditional Chinese Medicine (TCM) formula developed by Professor WYH, a renowned TCM practitioner in Jiangsu Province, China, known for its proven clinical efficacy. In this study, a stepwise regression model was employed to analyze the relationship between key process factors (such as mixing speed and time) and rheological parameters.

A Synergistic Chemoimmunotherapy System Leveraging PD-L1 Blocking and Bioorthogonal Prodrug Activation.

Novel strategies to facilitate tumor-specific drug delivery and restore immune attacks remain challenging in overcoming the current limitations of chemoimmunotherapy. An antitumor chemoimmunotherapy system comprising bioorthogonal reaction-ready group tetrazine (TZ) modified with an anti-PD-L1 antibody (αPD-L1) and TZ-activatable prodrug vinyl ether-doxorubicin (DOX-VE) for self-reinforced anti-tumor chemoimmunotherapy is proposed. The αPD-L1 effectively disrupts the PD-L1/PD-1 interaction and activates the DOX prodrug in situ through the bioorthogonal click reaction of TZ and VE.

Robust Thiazole-Linked Covalent Organic Frameworks for Water Sensing with High Selectivity and Sensitivity.

The rational design of covalent organic frameworks (COFs) with hydrochromic properties is of significant value because of the facile and rapid detection of water in diverse fields. In this report, we present a thiazole-linked COF (TZ-COF-6) sensor with a large surface area, ultrahigh stability, and excellent crystallinity. The sensor was synthesized through a simple three-component reaction involving amine, aldehyde, and sulfur.

A novel dual serotonin transporter and M-channel inhibitor D01 for antidepression and cognitive improvement.

Cognitive dysfunction is a core symptom common in psychiatric disorders including depression that is primarily managed by antidepressants lacking efficacy in improving cognition. In this study, we report a novel dual serotonin transporter and voltage-gated potassium Kv7/KCNQ/M-channel inhibitor D01 (a 2-methyl-3-aryloxy-3-heteroarylpropylamines derivative) that exhibits both anti-depression effects and improvements in cognition. D01 inhibits serotonin transporters ( = 30.

Driving Principle and Stability Analysis of Vertical Comb-Drive Actuator for Scanning Micromirrors.

We have developed a manufacturing process for micromirrors based on microelectromechanical systems (MEMS) technology. The process involves designing an electrostatic vertically comb-driven actuator and utilizing a self-alignment process to produce a height difference between the movable comb structure and the fixed comb structure of the micromirror. To improve the stability of the micromirror, we propose four instability models in micromirror operation with the quasi-static driving principle and structure of the micromirror considered, which can provide a basic guarantee for the performance of vertical comb actuators.

Allosteric Activation of α7 Nicotinic Acetylcholine Receptors by Novel 2-Arylamino-thiazole-5-carboxylic Acid Amide Derivatives for the Improvement of Cognitive Deficits in Mice.

Enhancing α7 nAChR function serves as a therapeutic strategy for cognitive disorders. Here, we report the synthesis and evaluation of 2-arylamino-thiazole-5-carboxylic acid amide derivatives - that as positive allosteric modulators (PAMs) activate human α7 nAChR current expressed in ooctyes. Among the 4-amino derivatives, a representative atypical type I PAM exhibits potent activation of α7 current with an EC of 1.

Three Rounds of Stability-Guided Optimization and Systematical Evaluation of Oncolytic Peptide LTX-315.

Oncolytic peptides represent promising novel candidates for anticancer treatments. In our efforts to develop oncolytic peptides possessing both high protease stability and durable anticancer efficiency, three rounds of optimization were conducted on the first-in-class oncolytic peptide LTX-315. The robust synthetic method, in vitro and in vivo anticancer activity, and anticancer mechanism were investigated.