Metabolic changes during evolution of Sjögren's in both an animal model and human patients.

Sjögren's (SS) involves salivary and lacrimal gland dysfunction. These studies examined metabolic profiles in the B6. transgene mouse model of SS and a cohort of human SS patients at different stages of disease.

The potential of digital health interventions to address health system challenges in Southeast Asia: A scoping review.

Objective: The World Health Organization (WHO) Southeast Asian region, comprising a quarter of the global population, faces significant healthcare challenges influenced by diverse economic and social conditions. The objective of this study is to map the Digital Health Intervention (DHI) functionalities across the nine axes of the healthcare system challenges (HSCs) model; we use WHO's DHIs classification framework and the Health System Challenges model. Our study findings help identify the gaps in the potential of the existing DHIs in addressing health system challenges in low- and middle-income countries.

Improving Soybean Germination and Nodule Development with Nitric Oxide-Releasing Polymeric Nanoparticles.

Nitric oxide (NO) is a multifunctional signaling molecule in plants, playing key roles in germination, microbial symbiosis, and nodule formation. However, its instability requires innovative approaches, such as using nanoencapsulated NO donors, to prolong its effects. This study evaluated the impact of treating soybean () seeds with the NO donor S-nitrosoglutathione (GSNO), encapsulated in polymeric nanoparticles, on the germination, nodulation, and plant growth.

An eCIRP inhibitor attenuates fibrosis and ferroptosis in ischemia and reperfusion induced chronic kidney disease.

Background: Chronic kidney disease (CKD) is a leading cause of death in the United States, and renal fibrosis represents a pathologic hallmark of CKD. Extracellular cold-inducible RNA-binding protein (eCIRP) is a stress response protein involved in acute inflammation, tissue injury and regulated cell death. However, the role of eCIRP in chronic inflammation and tissue injury has not been elucidated.

Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Background: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among patients with severe aortic stenosis (AS) undergoing coronary CT angiography (CCTA) before transcatheter aortic valve replacement (TAVR).

Methods: This retrospective study evaluated patients with severe AS who underwent CCTA examination before TAVR between September 2014 and December 2020. An AI-prototype software fully automatically calculated left atrial and left ventricular end-diastolic volumes and LACI was defined by the ratio between them.