Type 1 resistant starch (RS1) was prepared by high-pressure homogenization of corn starch (CS) embedded with 0.1 %, 0.3 %, 0.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Environment-recognizing DNA nanodevices have proven promising for cellular manipulation and disease treatment, whereas how to sequentially respond to different cellular microenvironments remains a challenge. To this end, here we elaborate a logic-gated intelligent DNA nanorobot (Gi-DR) for the cascade response to inter- and intra-cellular microenvironments, thereby achieving lysosome-targeted cargo delivery for subcellular interference and tumor treatment with enhanced efficacy. Utilizing G-quadruplexes to respond to high-level K+ in cancer cell surrounding, this Gi-DR nanorobot can activate an aptamer-based transmembrane DNA machine that delivers molecular payloads to cellular lysosome.
View Article and Find Full Text PDFBackground: Existing epigenome-wide association study (EWAS) investigating the association between DNA methylation (DNAm) and child neurodevelopment have been predominantly conducted within Western populations, and yielded inconsistent results, leading to a significant gap within non-Western setting, particularly in resource-limited rural areas of Central China.
Objectives: To investigate the association between altered epigenome-wide DNAm and neurodevelopment in preschool children from resource-limited rural areas of Central China.
Methods: This case-control study involved 64 preschoolers.
While the physical health effects of obesity are well-characterized, an emerging branch of research has shown that obesity additionally plays a critical role in one's mental health. Young adults, in a pivotal transition phase in their lives, may be particularly prone to the concurrent effects of obesity and adverse mental health outcomes. The purpose of this review is to comprehensively examine existing data regarding the connection between obesity and two widely validated measures of mental health: psychological distress and depression.
View Article and Find Full Text PDFBackground: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.
Methods: Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021 were used to develop the model (randomly split: 80% training, 20% test).