Fresh grapes contain a potent mix of over 1,600 compounds that benefit heart, brain, skin, and gut health. New evidence suggests they deserve official superfood recognition, with benefits even at the genetic level.
A new article appearing in the current issue of the peer-reviewed Journal of Agriculture and Food Chemistry explores the concept of “superfoods” and makes a case that fresh grapes have earned what should be a prominent position in the superfood family. The author, leading resveratrol and cancer researcher John M. Pezzuto, Ph.D., D.Sc., Dean of the College of Pharmacy and Health Sciences at Western New England University, brings forth an array of evidence to support his perspective on this issue.
As noted in the article, the term “superfood” is a common word without an official definition or established criteria. Mainstream superfoods are typically part of the Mediterranean Diet and generally rich in natural plant compounds that are beneficial to a person’s health. Pezzuto addresses the broader topic of superfoods in detail, then makes the scientific case for grapes, noting that fresh grapes are underplayed in this arena and often not included with mention of other similar foods, such as berries.
A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. This technique opens the door to more accurate modeling of human diseases and lays the groundwork for next-generation gene therapies.
Precise and targeted DNA editing by small point mutations as well as the integration of whole genes via CRISPR/Cas technology has great potential for applications in biotechnology and gene therapy. However, it is very important that the so-called gene scissors do not cause any unintended genetic changes, but maintain genomic integrity to avoid unintended side effects. Normally, double-stranded breaks in the DNA molecule are accurately repaired in humans and other organisms. But occasionally, this DNA end joining repair results in genetic errors.
Gene editing with greatly improved precision Now, scientists from the University of Zurich (UZH), Ghent University in Belgium and the ETH Zurich have developed a new method which greatly improves the precision of genome editing. Using artificial intelligence (AI), the tool called Pythia predicts how cells repair their DNA after it is cut by gene editing tools such as CRISPR/Cas9. “Our team developed tiny DNA repair templates, which act like molecular glue and guide the cell to make precise genetic changes,” says lead author Thomas Naert, who pioneered the technology at UZH and is currently a postdoc at Ghent University.
A new study has revealed that chemical tags once regarded as genetic clutter are in fact powerful gene silencers – and removing them could unlock safer treatments for inherited blood disorders.
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Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?
A new generation of CRISPR technology developed at UNSW Sydney offers a safer path to treating genetic diseases like sickle cell, while also proving beyond doubt that chemical tags on DNA—often thought to be little more than genetic cobwebs—actively silence genes.
Researchers at San Diego State University and Michigan State University are shedding new light on how viruses meticulously pack their genetic material — a breakthrough that could help researchers engineer antivirals and gene therapies.
A paper coauthored by geneticist George Church has been retracted following an internal review at a university where several coauthors are based.
The article appeared in the Proceedings of the National Academy of Sciences in 2022. The work supports an anti-aging gene therapy developed by BioViva, a company for which Church serves as an adviser. The paper’s authors claim cytomegalovirus (CMV) can be a gene therapy vector for a treatment for “aging-associated decline” that can be inhaled or injected monthly.
The work has been cited 41 times, two of which are citations from corrections to the article, according to Clarivate’s Web of Science.
