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Patients with growth hormone receptor deficiency, or Laron syndrome, appear to have lower than average risk factors for cardiovascular disease, according to a new study.

A new study highlights possible cardiovascular health advantages in individuals with a rare condition known as growth hormone receptor deficiency (GHRD), also called Laron syndrome.

GHRD, which is characterized by the body’s impaired ability to use its own growth hormone and results in stunted growth, has been linked in mice to a record 40% longevity extension and lower risks for various age-related diseases. However, the risk of cardiovascular disease in individuals with GHRD has remained unclear until now, leading to the speculation that in people, this mouse longevity mutation may actually increase cardiovascular disease.

In episode 267 of the Stem Cell Podcast, we chat with Dr. Shankar Srinivas, a Professor of Developmental Biology in the Department of Physiology Anatomy and Genetics based in the Institute for Developmental and Regenerative Medicine at the University of Oxford. He is also a Zeitlyn Fellow and Tutor in Medicine at Jesus College. Using mouse and human embryos as model systems, his group looks at the control of patterning and morphogenesis during the establishment of the anterior-posterior axis, gastrulation, and early cardiogenesis. He discusses how tissues respond to forces during early development, characterizing cardiac progenitors, and training internationally.

Roundup Papers:
2:26 https://bit.ly/3yeD3ms.
7:14 https://bit.ly/4dKJ7nd.
19:06 https://go.nature.com/3V2SNSo.
27:10 https://go.nature.com/4dnC43H

38:40 Guest Interview.

#Cardiogenesis #DevelopmentalBiology.

Listen on Apple Podcasts: https://apple.co/2T8BhPA
Listen on Stitcher: https://bit.ly/3hGwsGA
Listen on Spotify: https://spoti.fi/3xFdENP

Official Website: https://stemcellpodcast.com/

As people age, their brains do, too. But if a brain ages prematurely, there is potential for age-related diseases such as mild cognitive impairment, dementia, or Parkinson’s disease. If “brain age” could be easily calculated, then premature brain aging could be addressed before serious health problems occur.

Researchers from Drexel University’s Creativity Research Lab have developed an artificial intelligence technique that can effectively estimate an individual’s brain age based on electroencephalogram (EEG) brain scans. The technology could help to make early, regular screening for degenerative brain diseases more accessible. The work is published in the journal Frontiers in Neuroergonomics.

Led by John Kounios, Ph.D., professor in Drexel’s College of Arts and Sciences and Creativity Research Lab director, the research team used a type of artificial intelligence called machine learning to estimate an individual’s brain age similar to the way one might guess another person’s age based on their physical appearance.