Targeting cholesterol-dependent adrenal steroidogenesis for management of primary aldosteronism.

Primary aldosteronism (PA) is a common, salt-sensitive form of endocrine hypertension. Compared with essential hypertension (EH), PA is more susceptible to cardiorenal complications and metabolic risks. However, PA has a low screening rate and a poor response to mineralocorticoid receptor antagonists (MRAs).

Social-economic inequalities and early-life exposure to famine contribute to low grip strength: The China National Health Survey.

Background And Aim: The relationship between socio-economic inequalities (SEIs) and early life malnutrition with muscle health remains unclear. This study aims to examine the effects of SEIs and early life exposure to famine on relative hand grip strength (rHGS).

Methods And Results: We analyzed data of 37,008 individuals from the China National Health Survey.

Ultrasensitive dual-mode biosensor for photoelectrochemical and differential pulse voltammetry detection of thrombin based on DNA self-assembly.

Abnormal levels of thrombin may be associated with various diseases, such as thrombosis and hemorrhagic diseases, making precise detection of thrombin particularly important. Dual signal detection is a method that enhances detection sensitivity and specificity by simultaneously utilizing two different signals. Its primary advantages include improving detection accuracy and reducing false positive rates, making it particularly suitable for clinical analysis and diagnostics.

Altered zygotic gene expression caused by sperm with variants disrupts early embryonic development.

The precise mechanisms behind early embryonic arrest due to sperm-related factors and the most effective strategies are not yet fully understood. Here, we present two cases of male infertility linked to novel variants, associated with oligoasthenoteratozoospermia (OAT) and early embryonic arrest. To investigate the underlying mechanisms and promising therapeutic approaches, knock-in and knock-out mice were generated.

Me-LLaMA: Medical Foundation Large Language Models for Comprehensive Text Analysis and Beyond.

Recent advancements in large language models (LLMs) like ChatGPT and LLaMA have shown significant potential in medical applications, but their effectiveness is limited by a lack of specialized medical knowledge due to general-domain training. In this study, we developed Me-LLaMA, a new family of open-source medical LLMs that uniquely integrate extensive domain-specific knowledge with robust instruction-following capabilities. Me-LLaMA comprises foundation models (Me-LLaMA 13B and 70B) and their chat-enhanced versions, developed through comprehensive continual pretraining and instruction tuning of LLaMA2 models using both biomedical literature and clinical notes.