Disease mechanisms and treatments
Phosphatases and pupils: A dual legacy
Yale professor Anton Bennett explores how protein tyrosine phosphatases shape disease, while building a legacy of mentorship that expands opportunity and fuels discovery in biochemistry and molecular biology.
Proteomics reveals protein shifts in diabetic eye disease
Using proteomics, researchers identified protein changes in eye fluid that mark diabetic retinopathy progression and may serve as biomarkers for vision-threatening complications. Read more about this recent 涩里番 paper.
Protein modifications drive lung cancer resistance
New assay enriches protein modifications in a single process, enabling detection of key changes in drug-resistant lung cancer cells that may guide future therapies.
Understanding the roles of extracellular matrix and vesicles in valvular disease
MOSAIC scholar Cassandra Clift uses mass spectrometry and multiomics to study cardiovascular calcification and collagen dysregulation, bridging her background in bioengineering and biology to investigate extracellular vesicles and heart disease.
Lipid profiles reveal sex differences in type 2 diabetes
Researchers explored the lipid profiles of individuals with type 2 diabetes and identified potentially useful lipid biomarkers for this condition.
Serum lipids may predict early diabetes risk
Researchers found that levels of two key fatty acids may predict worsening tolerance for glucose, independent of body fat and insulin levels. In turn, these fatty acids may serve as early T2D biomarkers.
Sex and diet shape fat tissue lipid profiles in obesity
Researchers found that sex hormone levels and diet both influence inflammation and lipid composition in obesity.
A biological camera: How AI is transforming retinal imaging
AI is helping clinicians see a more detailed view into the eye, allowing them to detect diabetic retinopathy earlier and expand access through tele-ophthalmology. These advances could help millions see a clearer future.
Training AI to uncover novel antimicrobials
Antibiotic resistance kills millions, but César de la Fuente鈥檚 lab is fighting back. By pairing AI with human insight, researchers are uncovering hidden antimicrobial peptides across the tree of life with a 93% success rate against deadly pathogens.