Comparing the impact of various exercise modalities on old adults with Alzheimer's disease: A Bayesian network meta-analysis.

Background And Purpose: The global prevalence of Alzheimer's disease (AD) in the elderly is rising, and exercise is increasingly used as a non-pharmacological intervention. However, the most effective exercise modality for improving quality of life, alleviating depression, and reducing neuropsychiatric symptoms in AD patients remains unclear. This study aims to identify the optimal exercise modality for addressing these symptoms through a network meta-analysis.

N-acetyltransferase 10 catalyzes RNA N-acetylcytidine to regulate photosynthesis in rice.

N-acetylcytidine (acC) is a novel mRNA modification that enhances RNA stability and translation in mammals and plants. We previously identified acC in Arabidopsis, introduced by two homologs of human N-acetyltransferase 10 (NAT10). While acC influences leaf development in Arabidopsis, its role in rice is unclear.

Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.

Background: Gastric cancer (GC) is considered a highly heterogeneous disease, and currently, a comprehensive approach encompassing molecular data from various biological levels is lacking.

Methods: This study conducted different analyses, including the identification of differentially expressed genes (DEGs), weighted correlation networks (WGCNA), single-cell RNA sequencing (scRNA-seq), mRNA expression-based stemness index (mRNAsi), and multiCox analysis, utilizing data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Subsequently, the machine learning algorithms including least absolute shrinkage and selection operator (LASSO) regression and random forest (RF), combined with multiCox analysis were exploited to identify hub genes.

Bioeliminable Pt@BiSe-RGD Nanoassembly for Enhancing Photoacoustic Imaging-Guided Tumor Immuno-Radiotherapy by Inducing Apoptosis via the Areg Pathway.

Nanoradiosensitizers containing high Z-group elements have been reported widely as potential candidates for radiotherapy. However, the specific regulatory mechanism is unclear, and biodegradability needs to be addressed urgently. We synthesized a silk sericin-containing nano assembly, Pt@BiSe-RGD (PBR).

Exploring the potential mechanisms of sorafenib resistance in hepatocellular carcinoma cell lines based on RNA sequencing.

Background: Exploring the mechanisms underlying sorafenib resistance that arises in hepatocellular carcinoma (HCC) may provide new treatment perspectives.

Methods: Drug-resistant and drug-sensitive HCC cell lines were constructed from existing HepG2 and Huh7 cell lines, and gene expression profiles were determined. Genes differentially expressed between the resistant and sensitive lines were identified and organized into modules based on weighted gene co-expression network analysis.