Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy.

A comprehensive understanding of tumor heterogeneity, tumor microenvironment and the mechanisms of drug resistance is fundamental to advancing breast cancer research. While single-cell RNA sequencing has resolved the issue of "temporal dynamic expression" of genes at the single-cell level, the lack of spatial information still prevents us from gaining a comprehensive understanding of breast cancer. The introduction and application of spatial transcriptomics addresses this limitation.

An oxidation-reduction-triggered thiamine disulfide-based prodrug of 10-hydroxycamptothecin for selective tumor cell locking and therapeutic delivery.

Chemotherapy, a primary method of cancer treatment, has been limited in clinical application due to its lack of specificity and tumor multidrug resistance, resulting in numerous undesired side effects. Herein, a small molecule conjugate, TDK-HCPT, was designed and synthesized, which could target tumor cells and prolong the retention of chemotherapy agents within tumor cells. Moreover, a similarly designed control system, TDK-Nap, has been developed as well to enable cancer cell imaging.

Glycyrrhizic acid-based multifunctional nanoplatform for tumor microenvironment regulation.

Natural compounds demonstrate unique therapeutic advantages for cancer treatment, primarily through direct tumor suppression or interference with the tumor microenvironment (TME). Glycyrrhizic acid (GL), a bioactive ingredient derived from the medicinal herb Glycyrrhiza uralensis Fisch., and its sapogenin glycyrrhetinic acid (GA), have been recognized for their ability to inhibit angiogenesis and remodel the TME.

[Recent progress in mass spectrometry imaging using nanospray desorption electrospray ionization].

Ambient mass spectrometry imaging (MSI) enables hundreds of analytes in tissue sections to be directly mapped at atmospheric pressure with minimal sample preparation. This field is currently experiencing rapid growth, with numerous reported ambient ionization techniques resulting in a "hundred flowers bloom" situation. Nanospray desorption electrospray ionization (nano-DESI), developed by the Laskin group in 2010, is a widely used liquid-extraction-based ambient ionization technique that was first used for mass spectrometry imaging of tissue in 2012.

Functionalized aluminum hydroxide-based self-adjuvanted nanovaccine orchestrates antitumor immune responses via Dectin-1 signaling.

Self-adjuvanted vaccine delivery platforms possess potential for targeted delivery of antigens and initiation of potent immune responses. Although aluminum-containing adjuvants have been approved and widely used in human vaccines, their effectiveness in inducing Th1-type immune responses is far from satisfactory. To facilitate antigen delivery and activate potent antitumor immune responses, a self-adjuvanted nanovaccine (CPBG-Al@OVA) is constructed by functionalizing aluminum hydroxide with β-1,3-glucan, which recognizes pattern recognition receptors via Dectin-1.

Effect of Protecting Groups and Activating Conditions on 3-Deoxy-d--d--2-nonulosonic Acid (Kdn) Glycosylation: Stereoselective Synthesis of α- and β-Kdn Glycosides.

Kdn is a common member of the sialic acid family. Carbohydrates containing Kdn residues are widely distributed in nature and embody important biological information. However, the methods for synthesizing Kdn glycosides are limited, which restricts their biological study.

Lysosome-Targeting Protein Degradation Through Endocytosis Pathway Triggered by Polyvalent Nano-Chimera for AD Therapy.

The excessive up-regulation of receptor for advanced glycation end products (RAGE), a well-known pathological marker, drives the onset and progression of Alzheimer's disease. Although lysosome-targeting protein degradation has emerged as an effective therapeutic modality, the limited lysosome-sorting efficacy greatly hindered the degradation efficiency of target proteins. Herein, a lysosome-shuttle-like nano-chimera (endoTAC) is proposed based on polyvalent receptor binding mode for enhanced RAGE degradation as well as precise drug delivery.

Smart control lipid-based nanocarriers for fine-tuning gut hormone secretion.

Modulating the endogenous stores of gastrointestinal hormones is considered a promising strategy to mimic gut endocrine function, improving metabolic dysfunction. Here, we exploit mouse and human knock-in and knockout intestinal organoids and show that agents used as commercial lipid excipients can activate nutrient-sensitive receptors on enteroendocrine cells (EECs) and, when formulated as lipid nanocarriers, can bestow biological effects through the release of GLP-1, GIP, and PYY from K and L cells. Studies in wild-type, dysglycemic, and gut knockout mice demonstrated that the effect exerted by lipid nanocarriers could be modulated by varying the excipients (e.

Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

Objective: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.

Methods: Systematic searches were conducted using PubMed, Web of Science, Embase, and IEEE Xplore from database inception until 21 November 2023. Studies that developed ML models for predicting multiple ADEs based on EHR data were included.

An Amorphous Solid Dispersion of Baicalin and its Oral Therapeutic Effect on Ulcerative Colitis.

Objective: Ulcerative colitis (UC) treatment currently faces multiple challenges including adverse effects, prolonged therapy durations, and high costs. Baicalin (BA) has demonstrated anti-inflammatory benefits for inflammatory bowel disease, and the objective of this scholarly work is to address the challenges associated with the poor aqueous solubility and diminished oral bioavailability of the compound in question, thereby offering an innovative therapeutic approach for the management of ulcerative colitis.

Methods: We developed a baicalin-arginine complex (BA-Arg) by screening for suitable basic compounds and utilizing a freeze-drying method, resulting in an amorphous solid dispersion of BA.

Achieving Hepatitis C Micro-Elimination in Chinese Injecting Drug Users: A Dynamic Network Modeling Study.

Introduction: The World Health Organization (WHO) has established objectives for eradicating the hepatitis C virus (HCV). People who inject drugs (PWID), a major driver of HCV transmission, are an essential part of China's hepatitis C elimination program. This study aimed to estimate the requisite screening and antiviral treatment levels to achieve these goals among people who inject drugs in China and identify the most cost-effective strategy.

Using machine learning to identify risk factors for pancreatic cancer: a retrospective cohort study of real-world data.

Objectives: This study aimed to identify the risk factors for pancreatic cancer through machine learning.

Methods: We investigated the relationships between different risk factors and pancreatic cancer using a real-world retrospective cohort study conducted at West China Hospital of Sichuan University. Multivariable logistic regression, with pancreatic cancer as the outcome, was used to identify covariates associated with pancreatic cancer.

Targeted Liposomal Co-Delivery Dopamine with 3-n-Butylphthalide for Effective Against Parkinson's Disease in Mice Model.

Introduction: Parkinson's disease (PD) is a multifactor-induced neurodegenerative disease with high incidence in the elderly population. We found for the first time that the combination of dopamine (DA) and 3-n-butylphthalide (NBP) has great potential for the synergistic treatment of PD. To further improve the therapeutic performance of the drugs, a brain-targeting liposomal co-delivery system encapsulating NBP and DA ((NBP+DA)-Lips-RVG29) was designed using a rabies virus polypeptide with 29 amino acids (RVG29) as the targeting ligand.

Innovative integration of nanomedicines and phototherapy to modulate autophagy for enhanced tumor eradication.

Nanomedicines, by significantly enhancing the solubility, stability, and targeted delivery of therapeutic agents, have emerged as transformative tools in light-induced therapies, particularly in the context of oncology. These advancements are attributed to their ability to mediate autophagy through light activation, thereby revolutionizing cancer treatment paradigms. This review provides a comprehensive analysis of the state-of-the-art integration of nanomedicines with phototherapy techniques, emphasizing their role in modulating autophagy within cancer cells.

Decoding the genome of SARS-CoV-2: a pathway to drug development through translation inhibition.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the coronavirus disease 2019 (COVID-19) pandemic and is continuously spreading globally. The continuous emergence of new SARS-CoV-2 variants keeps posing threats, highlighting the need for fast-acting, mutation-resistant broad-spectrum therapeutics. Protein translation is vital for SARS-CoV-2 replication, producing early non-structural proteins for RNA replication and transcription, and late structural proteins for virion assembly.

Platelet backpacking nanoparticles based on bacterial outer membrane vesicles enhanced photothermal-immune anti-tumor therapy.

Bacterial outer membrane vesicles (OMVs), produced by Gram-negative bacteria, retain the immunostimulatory capacity of parental bacteria. OMVs have been recognized as potent natural immune adjuvants and drug delivery vehicles. Photothermal therapy that triggers immunogenic cell death further stimulates the immune system by releasing damage-associated molecular patterns.

MMP-2-triggered, mitochondria-targeted PROTAC-PDT therapy of breast cancer and brain metastases inhibition.

Proteolytic targeting chimera (PROTAC) technology is a protein-blocking technique and induces antitumor effects, with potential advantages. However, its effect is limited by insufficient distribution and accumulation in tumors. Herein, a transformable nanomedicine (dBET6@CFMPD) with mitochondrial targeting capacity is designed and constructed to combine PROTAC with photodynamic therapy (PDT).

Predicting medication adherence among children with epilepsy: Application of the protection motivation theory.

Purpose: Based on the protection motivation theory (PMT), which is an extension of the health belief model that takes the "reward" brought by behavior in the long-term process as a consideration factor and considering the influence of environmental and social factors on behavior patterns, this cross-sectional study evaluated medication adherence among children with epilepsy using structural equation modeling.

Methods: Children with epilepsy from pediatric neurology clinics were consecutively sampled at West China Second Hospital of Sichuan University from July 2021 to January 2024. According to PMT, we designed the 23-item questionnaire, which included seven factors, namely severity, susceptibility, external return, internal returns, self-efficacy, reaction efficiency, and reaction cost.

Correction: Multiple pH responsive zwitterionic micelles for stealth delivery of anticancer drugs.

[This corrects the article DOI: 10.1039/C6RA11645K.].

Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis.

Introduction: Adverse drug events (ADEs) pose a significant challenge in current clinical practice. Machine learning (ML) has been increasingly used to predict specific ADEs using electronic health record (EHR) data. This systematic review provides a comprehensive overview of the application of ML in predicting specific ADEs based on EHR data.