Biomarkers – News and Features

Spinal cord stimulation is often a last resort for those with intractable chronic pain. A new 10-minute brain scan gives doctors a much-needed biomarker to discuss with patients considering spinal cord stimulation.

Flinders University study highlights the protective effects of plant-based diets against gastrointestinal cancers. Diets rich in fiber, fruits, vegetables, and whole grains were linked to lower cancer risks, while processed and sugary foods increase.

A study from Spain’s CNIO identifies genetic alterations linked to STAG2 loss, driving aggressiveness in Ewing sarcoma. These changes increase metastasis and impact immune response, offering new prognostic markers and therapeutic targets.

Researchers have identified that the SARS-CoV-2 spike protein accumulates in the brain's protective layers, potentially explaining the neurological symptoms of long COVID.

A study identifies "proteolethargy," reduced protein mobility caused by oxidative stress, as a unifying mechanism in chronic diseases. The findings suggest that impaired protein movement disrupts cellular functions.

A study highlights significant body composition changes and increased cardiovascular risks in transgender men on testosterone therapy. Over six years, muscle volume rose by 21%, abdominal fat by 70%, and LDL cholesterol increased.

University of Rochester researchers discovered a brain connectivity biomarker in MRI scans that may predict psychosis before symptoms emerge. The biomarker offers potential for early diagnosis and personalized treatment.

Short-term menopausal hormone therapy (mHT) does not have long-term cognitive effects when given to women in early postmenopause, according to new research from Mayo Clinic scientists.

Researchers explore how established agricultural pest management strategies could be adapted to address cancer therapy. The pioneering method opens new possibilities for controlling drug resistance and improving patient survival.

Researchers at Karolinska Institutet tested 10 AI models for predicting triple-negative breast cancer outcomes by analyzing tumor-infiltrating lymphocytes. Eight models demonstrated good prognostic ability.