Researchers from NUS Medicine have uncovered how a high-risk class of genetic vectors can efficiently spread antibiotic resistance within the gut, enabling even highly virulent bacteria to acquire drug resistance under real-world conditions. The findings shed new light on how so-called “superbugs”, bacteria that are both highly virulent and antibiotic-resistant, can emerge and persist, particularly in healthcare settings.

The problem of antibiotic-resistant bacteria has many health experts worried. As disease-causing bacteria adapt to some of our ways to reduce them, especially with antibiotics, it presents an arms race which we appear to be losing. Researchers seek to improve the situation by looking at how bacteria adapt to antibiotics. For the first time, researchers including those from the University of Tokyo, through massive data analysis, discovered two different strategies bacterial plasmids may use to share their antimicrobial resistance with other bacteria. Computational analysis could help identify and forecast risks, and future lab experiments may aid researchers narrow down key areas for further investigation. 

The fetal–maternal interface is a uniquely active immune niche that must continuously balance tolerance of a semi‑allogeneic fetus with competent antimicrobial defense. Within this setting, macrophages are central innate sentinels whose phenotypes and functions are highly flexible, and this plasticity is increasingly viewed as a key determinant of normal gestation. During a successful pregnancy, they help maintain local immunity by promoting the resolution of inflammation, remodeling tissues, and supporting angiogenesis. By contrast, pregnancy complications—including miscarriage and preterm birth—often feature skewed macrophage polarization and loss of function, pointing to a contributory pathogenic role. Despite abundant work describing stage-specific activities, the signaling circuits that program macrophage behavior, their subset diversification, and their crosstalk with other immune cells remain incompletely mapped. This review summarizes the cellular composition and temporal shifts of the fetal–maternal immune milieu, integrates current data on macrophage localization and regulation, and outlines how their dysregulation may drive disease, to frame mechanistic hypotheses and highlight therapeutic targets.

A novel cell-penetrating peptide isolated from scorpion venom disrupts a key protein interaction in liver cells, promoting fat metabolism and reducing liver damage in mouse models of metabolic dysfunction-associated steatotic liver disease (MASLD). This discovery offers a potential new therapeutic strategy for a condition that currently has limited treatment options.

Rheumatoid arthritis (RA) disproportionately affects postmenopausal women, who are at an increased risk of developing RA and experience higher RA-related mortality compared to premenopausal women.

Identifying structural damage with limited sensors based on modal parameters is a significant research topic aimed at evaluating the impact of damage on structural health. The latest work has extracted the index using limited sensors based on principal component analysis and discrete wavelet transform to detect the damage location. It is well-equipped for conducting detection analysis of structural health monitoring.