Mental health literacy and help-seeking intention among Chinese elite athletes: the mediating roles of stigma and social support.

Objectives: Considering the importance of mental health help-seeking, researchers have closely examined the relationship between mental health literacy (MHL) and help-seeking intention (HSI). Furthermore, the high impact of stigma and the potential value of social support on HSI have been recognised. However, the relationship between these variables has not been fully tested within the context of Chinese elite athletes.

Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study.

Background: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes.

Prompt Tuning in Biomedical Relation Extraction.

Unlabelled: Biomedical relation extraction (RE) is critical in constructing high-quality knowledge graphs and databases as well as supporting many downstream text mining applications. This paper explores prompt tuning on biomedical RE and its few-shot scenarios, aiming to propose a simple yet effective model for this specific task. Prompt tuning reformulates natural language processing (NLP) downstream tasks into masked language problems by embedding specific text prompts into the original input, facilitating the adaption of pre-trained language models (PLMs) to better address these tasks.

Peiminine triggers ferroptosis to inhibit breast cancer growth through triggering Nrf2 signaling.

Background: Peiminine (PMI) is an active alkaloid sourced from Fritillaria thunbergii, which has been shown to suppress the development of a variety of tumors. Whereas, the roles and precise mechanism of PMI in breast cancer (BC) development remain not been clarified.

Methods: The cytotoxic effect of PMI on MCF-10A and BC cell lines (MCF-7 and BT-549) were assessed by MTT and LDH release assay.

Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions.

Objectives: Graph representation learning (GRL) has emerged as a pivotal field that has contributed significantly to breakthroughs in various fields, including biomedicine. The objective of this survey is to review the latest advancements in GRL methods and their applications in the biomedical field. We also highlight key challenges currently faced by GRL and outline potential directions for future research.

Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing.

Background: To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leveraged in many biomedical applications including drug repurposing. Our objective is to construct a knowledge graph from literature to study the relations between Alzheimer's disease (AD) and chemicals, drugs and dietary supplements in order to identify opportunities to prevent or delay neurodegenerative progression.

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning.

Biomedical relation extraction plays a critical role in the construction of high-quality knowledge graphs and databases, which can further support many downstream applications. Pre-trained prompt tuning, as a new paradigm, has shown great potential in many natural language processing (NLP) tasks. Through inserting a piece of text into the original input, prompt converts NLP tasks into masked language problems, which could be better addressed by pre-trained language models (PLMs).

Multifunctional Nanoparticles Loaded with Vascular Endothelial Growth Factor Inhibitors and MED1 siRNA to Inhibit Breast Cancer Progression by Targeting Tumor-Associated Macrophages and Breast Cancer Cells.

Breast cancer is still threatening many people' lives, hence novel targeted therapies are urgently required to improve the poor outcome of breast cancer patients. Herein, our study aimed to explore the potential of nanoparticles (NPs)-loaded with VEGF inhibitors and MED1 siRNA for treatment of the disorder. PEG and MTC conjugates were synthesized by ion gelation, and equipped with VEGF inhibitor (siV) and MED1 (siD) siRNA (MT/PC/siV-D NPs).

Association Between Serum Human Epididymis Protein 4 Levels and Cardiovascular Events in Obese Patients with Breast Cancer.

Background: Patients with cancer have a higher incidence of cardiovascular diseases (CVDs). We aimed to evaluate the relationship between serum human epididymal protein 4 (HE4) levels and cardiovascular events in obese patients with breast cancer.

Methods: Serum HE4 levels in 316 obese patients with breast cancer were measured at baseline and then prospectively followed up for approximately 36 months.

Can Aidi injection improve overall survival in patients with non-small cell lung cancer? A systematic review and meta-analysis of 25 randomized controlled trials.

Objectives: Aidi injection can significantly improve clinical response and reduce radiochemotherapy related toxicity. Can Aidi injection improve the survival in non-small-cell lung cancer (NSCLC)? Therefore, to further reveal it, we systematically evaluated all related studies.

Methods: We collected all studies about Aidi injection for NSCLC in Medline, Embase, Web of Science(ISI), China National Knowledge Infrastructure Database(CNKI), Chinese Scientific Journals Full-Text Database(VIP), Wanfang, China Biological Medicine Database (CBM), Cochrane Central Register of Controlled Trials (CENTRAL), Chinese clinical trial registry (Chi-CTR) and WHO International Clinical Trials Registry Platform (WHO-ICTRP), and US-clinical trials (established to June 2016).