Antibiotic-based micelles with bone-targeting and pH-responsive properties for infectious osteomyelitis treatment.

We developed antibiotic-based micelles with bone-targeting and charge-switchable properties (P-CASMs) for treating infectious osteomyelitis. The amphiphilic molecules are formed by combining ciprofloxacin (CIP) with ligand 1 through a mild salifying reaction, and spontaneously self-assemble into antibiotic-based micelles (ASMs) in aqueous solution. Acrylate groups on ligand 1 enable cross-linking of ASMs with pentaerythritol tetra(mercaptopropionate) via a click reaction, forming pH-sensitive cross-linked micelles (CASMs).

A multimodal machine learning model for the stratification of breast cancer risk.

Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer risk and subsequent patient management among other clinical tasks. For the models to impact clinical practice, they ought to follow standard workflows, help interpret mammography and ultrasound data, evaluate clinical contextual information, handle incomplete data and be validated in prospective settings. Here we report the development and testing of a multimodal model leveraging mammography and ultrasound modules for the stratification of breast cancer risk based on clinical metadata, mammography and trimodal ultrasound (19,360 images of 5,216 breasts) from 5,025 patients with surgically confirmed pathology across medical centres and scanner manufacturers.

Development of the novel formulations of perospirone for the treatment of schizophrenia.

Schizophrenia is a severe mental illness. Its clinical features include positive symptoms (hallucinations, delusions, thought disorders), negative symptoms (avolition, anhedonia, poverty of thought, social withdrawal), and cognitive dysfunction. A large number of antipsychotic drugs with traditional dosage forms are available to mitigate the symptoms of schizophrenia but the duration of action is commonly short, often requiring frequent administration.

Individualized sublingual immunotherapy with dynamic maintenance dose ascending for house dust mite-induced allergic rhinitis.

Background: Precision dosing in sublingual immunotherapy (SLIT) has become a hotspot gradually, yet no standardized dose adjustment pattern for house dust mite (HDM)-SLIT. This study aims to investigate the clinical feasibility of the dynamic maintenance dose ascending regimen for individualized SLIT.

Methods: A total of 258 allergic rhinitis (AR) patients treated with HDM-SLIT were included in this retrospective study.

Autophagy in chronic rhinosinusitis with or without nasal polyps.

Basic research on chronic rhinosinusitis (CRS) has advanced significantly in the past two decades, yet a comprehensive understanding of its pathogenic mechanisms remains elusive. Concurrently, there is a growing interest among scientists in exploring the involvement of autophagy in various human diseases, including tumors and inflammatory conditions. While the role of autophagy in asthma has been extensively studied in airway inflammatory diseases, its significance in CRS with or without nasal polyps (NPs), a condition closely linked to asthma pathophysiology, has also garnered attention, albeit with conflicting findings across studies.

Sign of Neck Mass as the Chief Complaint: A Case Report and Literature Review About Thyroid Metastasis of Colorectal Cancer.

Background: Commonly, the thyroid gland is regarded as an organ with fewer metastatic diseases, and colorectal metastasis to the thyroid (CMT) is rarely reported, especially, with that the clinical sign of thyroid metastasis nidus is the chief complaint. The CMT occurs in advanced colorectal cancer and is associated with poor prognosis and short survival.

Case Report: In this case, we reported a patient with the sign of neck mass as the first manifestation of CMT.

"Atomic Topping" of MnO on AlO to Create Electron-Rich, Aperiodic, Lattice Oxygens that Resemble Noble Metals for Catalytic Oxidation.

Enhancing the catalytic oxidation activity of traditional transition-metal oxides to rival that of noble metals has been a prominent focus in the field of catalysis. However, existing synthesis strategies that focus on controlling the electronic states of metal centers have not yet fully succeeded in achieving this goal. Our current research reveals that manipulating the electronic states of oxygen centers can yield unexpected results.

A vision chip with complementary pathways for open-world sensing.

Image sensors face substantial challenges when dealing with dynamic, diverse and unpredictable scenes in open-world applications. However, the development of image sensors towards high speed, high resolution, large dynamic range and high precision is limited by power and bandwidth. Here we present a complementary sensing paradigm inspired by the human visual system that involves parsing visual information into primitive-based representations and assembling these primitives to form two complementary vision pathways: a cognition-oriented pathway for accurate cognition and an action-oriented pathway for rapid response.

A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis.

Background: Though deep learning has consistently demonstrated advantages in the automatic interpretation of breast ultrasound images, its black-box nature hinders potential interactions with radiologists, posing obstacles for clinical deployment.

Methods: We proposed a domain knowledge-based interpretable deep learning system for improving breast cancer risk prediction via paired multimodal ultrasound images. The deep learning system was developed on 4320 multimodal breast ultrasound images of 1440 biopsy-confirmed lesions from 1348 prospectively enrolled patients across two hospitals between August 2019 and December 2022.

Potential Value of HSP90α in Prognosis of Triple-Negative Breast Cancer.

BACKGROUND Triple-negative breast cancer (TNBC) is a distinct subtype of breast cancer, accounting for 12-18% of all breast cancer cases. It exhibits high heterogeneity and aggressiveness, resulting in a poorer prognosis with a high risk of early recurrence and metastasis. Due to the lack of expression of estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2), as well as insensitivity to endocrine therapy, determining a standard treatment for TNBC is challenging.

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current modeling of brain-inspired spiking neural networks (SNN), backpropagation through time is widely adopted because it can achieve high performance using a small number of time steps.

[Expression and clinical significance of NEK2 and EMT related molecules in oral squamous cell carcinoma].

Purpose: To investigate the expression and significance of NEK2 and EMT-related molecules in oral squamous cell carcinoma (OSCC).

Methods: The expression levels of NEK2 and EMT-related molecules (E-Cadherin, N-Cadherin, Vimentin) in 60 cases of primary OSCC tissues and normal oral mucosa tissues were detected by immunohistochemistry(IHC). NEK2 mRNA expression in 25 OSCC tissues and 10 normal oral mucosa tissues was detected by qRT-PCR.

[BRAF V600E expression in ameloblastomas, ameloblastic carcinomas and cysts].

Purpose: To investigate protein and genetic status of BRAF V600E in ameloblastomas, ameloblastic carcinomas and cysts, and to explore if recurrence and malignant transformation of ameloblastomas depends on BRAF status.

Methods: Twenty cysts, 25 primary ameloblastomas, 25 recurrent ameloblastomas and 8 ameloblastic carcinomas were analysed by immunohistochemistry, and 2 cysts, 5 primary ameloblatomas, 5 recurrent ameloblastomas, 3 atypical ameloblastomas and 6 ameloblastic carcinomas were analysed by quantitative real-time PCR(qPCR). SPSS 26.

Injectable Hydrogel To Deliver Bone Mesenchymal Stem Cells Preloaded with Azithromycin To Promote Spinal Cord Repair.

Spinal cord injury is a disease that causes severe damage to the central nervous system. Currently, there is no cure for spinal cord injury. Azithromycin is commonly used as an antibiotic, but it can also exert anti-inflammatory effects by down-regulating M1-type macrophage genes and up-regulating M2-type macrophage genes, which may make it effective for treating spinal cord injury.

Zein-Based Triple-Drug Nanoparticles to Promote Anti-Inflammatory Responses for Nerve Regeneration after Spinal Cord Injury.

Defects in autophagy contribute to neurological deficits and motor dysfunction after spinal cord injury. Here a nanosystem is developed to deliver autophagy-promoting, anti-inflammatory drugs to nerve cells in the injured spinal cord. Celastrol, metformin, and everolimus as the mTOR inhibitor are combined into the zein-based nanoparticles, aiming to solubilize the drugs and prolong their circulation.

Isolation and characterization of polyester polyurethane-degrading bacterium Bacillus sp. YXP1.

Microorganisms have the potential to be applied for the degradation or depolymerization of polyurethane (PU) and other plastic waste, which have attracted global attention. The appropriate strain or enzyme that can effectively degrade PU is the key to treat PU plastic wastes by biological methods. Here, a polyester PU-degrading bacterium Bacillus sp.

Effects of miR-204-5p and Target Gene EphB2 on Cognitive Impairment Induced by Aluminum Exposure in Rats.

Aluminum is a common environmental neurotoxin. Aluminum ions can cross the blood-brain barrier and accumulate in different brain regions, damage brain tissue, and cause cognitive impairment, but the molecular mechanism of aluminum neurotoxicity is not precise. This study investigated the effects of miR-204-5p, target gene EphB2, and downstream signaling pathway NMDAR-ERK-CREB-Arc on cognitive dysfunction induced by aluminum exposure.

The Role of Histone H2B Acetylation Modification in Aluminum-Induced Cognitive Dysfunction.

Aluminum (Al) is a low toxic trace element that can accumulate in the nervous system and induce cognitive disorders characterized by reduced learning and memory ability. Neuroepigenetic effects are structural changes in cellular function by the brain in response to environmental stimuli by altering the expression of specific genes and repressing normal cellular transcription, leading to abnormalities in a variety of biological processes within the nervous system and affecting neurobehavioral responses. One of the most important mechanisms of epigenetic control on chromatin shape is histone modification.

Enhancing maize's nitrogen-fixing potential through ZmSBT3, a gene suppressing mucilage secretion.

Maize (Zea mays) requires substantial amounts of nitrogen, posing a challenge for its cultivation. Recent work discovered that some ancient Mexican maize landraces harbored diazotrophic bacteria in mucilage secreted by their aerial roots. To see if this trait is retained in modern maize, we conducted a field study of aerial root mucilage (ARM) in 258 inbred lines.

The Role of Acetylation and Methylation of Rat Hippocampal Histone H3 in the Mechanism of Aluminum-Induced Neurotoxicity.

Aluminum is a known neurotoxin and a major environmental contributor to neurodegenerative diseases such as Alzheimer's disease (AD). We uesd a subchronic aluminum chloride exposure model in offspring rats by continuously treating them with AlCl solution from the date of birth until day 90 in this research. Then evaluated the neurobehavioral changes in rats, observed the ultrastructural changes of hippocampal synapses and neurons, and examined the level of hippocampal acetylated histone H3 (H3ac), the activity and protein expression of hippocampal HAT1 and G9a, and the protein expression level of H3K9 dimethylation (H3K9me2).

CDKN2A was a cuproptosis-related gene in regulating chemotherapy resistance by the MAGE-A family in breast cancer: based on artificial intelligence (AI)-constructed pan-cancer risk model.

Background: Before the discovery of cuproptosis, copper-loaded nanoparticle is a wildly applied strategy for enhancing the tumor-cell-killing effect of chemotherapy. Although copper(ii)-related researches are wide, details of cuproptosis-related bioprocess in pan-cancer are not clear yet now, especially for prognosis and drug sensitivity prediction yet now.

Methods: In this study, VOSviewer is used for the literature review, and R4.

Complex resistivity spectrum of pollutant soils with low-concentration heavy metals.

Soil contamination by heavy metals occurs globally, with varying degrees of severity, especially in agricultural fields. Investigating the frequency response characteristics of different types of heavy metal pollutants through induced polarization can provide valuable evidence for surveys based on this method. Soil specimens with varying low concentrations of copper (Cu), chromium (Cr), cadmium (Cd), and lead (Pb) heavy metals were prepared for this study, and parameters including complex resistivity, amplitude-frequency, and resistivity phase were measured.