Non-additive dosage-dependent effects of TaGS3 gene editing on grain size and weight in wheat.

Loss-of-function mutations induced by CRISPR-Cas9 in the TaGS3 gene homoeologs show non-additive dosage-dependent effects on grain size and weight and have potential utility for increasing grain yield in wheat. The grain size in cereals is one of the component traits contributing to yield. Previous studies showed that loss-of-function (LOF) mutations in GS3, encoding Gγ subunit of the multimeric G protein complex, increase grain size and weight in rice.

Autophagy activation within inflammatory microenvironment improved the therapeutic effect of MSC-Derived extracellular Vesicle in SLE.

Introduction: Developing strategies to improve the therapeutic efficacy of mesenchymal stem cell (MSC)-derived extracellular vesicles (EVs) in autoimmune diseases have garnered increased attention.

Objectives: To evaluate whether rapamycin-induced autophagy within the systemic lupus erythematosus (SLE) inflammatory microenvironment (Rapa-SLE) augments the therapeutic effects of MSC-derived EVs in SLE.

Methods: The therapeutic potential of the resulting EVs (Rapa-SLE-EV) was assessed in MRL/lpr mice.

An analysis of the current status of geriatric oral disease treatment-a dental institutions-based perspective.

Background: This study aimed to investigate and analyze the current status of oral disease treatment among the older adult in Guangxi Zhuang Autonomous Region, while also assessing the continuing medical education (CME) needs of dental institution personnel regarding oral diseases in this population.

Methods: Convenience sampling was used to investigate the oral disease treatment among older adults and to assess CME needs of dental institution personnel regarding oral diseases in this population across various oral medical and health institutions in Guangxi.

Results: A total of 754 valid questionnaires were collected, of which 70.

The use of large language models in detecting Chinese ultrasound report errors.

This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories were analyzed. Three GPT versions and Claude 3.