Flavorings, colors and sweeteners emerge as UPF markers linked to depression risk
By tracking dozens of ingredients associated with ultra-processed foods, researchers investigated whether some components of the modern diet…
Sunlight, blood sugar and diabetes: a new study finds an intriguing connection
From winter UVA levels to long-term sun-seeking habits, a large UK Biobank study explores how different patterns of…
Tea, berries and dark chocolate featured in a diet linked to lower Parkinson’s risk
From tea and berries to dark chocolate, researchers tracked how a flavonoid-rich dietary pattern relates to Parkinson’s disease…
Physical Activity Paradox: Why Some Exercise Raises Dementia Risk While Leisure Workouts Protect the Brain
Not all physical activity is equal when it comes to protecting the brain from dementia. Where and why…
Taste preference genes drive overeating and metabolic disease risk
Ever wonder why some people crave sweets while others can take them or leave them? Preliminary findings from…
Cold-exposed mothers pass metabolic protection to male rat offspring through milk
Cold exposure during early pregnancy altered breast milk bile acids and microbial metabolism, providing male rat offspring with…
Neuroticism and adversity dominate depression and anxiety risk in UK Biobank study
A 13-year UK Biobank analysis suggests that neuroticism, adversity, and other psychosocial pressures may explain more of the…
Genetic data may predict steroid side effect risk
Oral corticosteroids (OCSs) are widely used and effective in the treatment of chronic inflammatory conditions such as arthritis,…
Low blood pressure shows strongest link to Alzheimer’s disease
Numerous types of cardiovascular disease and CVD risk factors were linked to a higher risk of Alzheimer’s disease,…
Blood protein signature can predict lung cancer risk before diagnosis
Researchers at the Francis Crick Institute and University College London (UCL), funded by Cancer Research UK and the…
A new tool that predicts obesity-related disease risk beyond BMI
A data-driven tool built from nearly 200,000 individuals reveals who is most likely to develop serious obesity-related diseases,…
Machine learning model predicts liver cancer risk with high accuracy
Bottom line: A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test…