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According to Johns Hopkins Medicine scientists, a recent study with obese mice adds to evidence that specialized channel proteins are potential therapeutic targets for sleep apnea and other unusually slow breathing disorders in obese individuals.

The protein, a cation channel known as TRPM7, is located in carotid bodies, minute sensory organs in the neck that sense changes in oxygen and carbon dioxide levels, as well as certain hormones such as leptin, in the bloodstream. TRPM7 proteins aid in the transport and regulation of positively charged molecules into and out of the cells of the carotid bodies.

Lenise Kim, Ph.D., a postdoctoral fellow at Johns Hopkins Medicine and the leader of the current study, expands on earlier results from the lab that indicated TRPM7 had a role in the development of high blood pressure in mice.

SAN FRANCISCO (CBS SF) – At a conference Wednesday afternoon, a UCSF researcher presented the results of a two-year study that found strong evidence that the risk factors for dementia can be reduced up to 30% with a modified lifestyle.

Dr. Kristine Yaffe, a professor of Psychiatry, Neurology, and Epidemiology, presented her findings from a two-year randomized pilot study of nearly 200 older adults at the annual Clinical Trials on Alzheimer’s Disease conference in San Francisco.

She told KPIX 5 that it’s still a complex puzzle as to why some people get Alzheimer’s Disease and others don’t. That’s why her team of researchers joined forces with some colleagues at Kaiser Washington in Seattle and proceeded with the two-year study.

Antibiotics are not enough in the war against pathogens.

Every year more than 40 million people in the U.S. suffer from foodborne illnesses caused by bacteria, viruses, and various other types of pathogens. Food contamination is often underestimated, but it is responsible for 420,000 deaths annually. This number represents more people than the entire population of Iceland.

Urfinguss/iStock.

Continue reading “Spraying an army of bacteria-eating viruses can save us from food poisoning” »

The discovery was made through a fatal bacteria named Group A Streptococcus.

Australian researchers have recently discovered a previously unknown mechanism used by bacteria to resist antibiotic treatment. According to a press release published by Telethon Kids Institute, it’s predicted that this antimicrobial resistance (AMR) will kill ten million people annually by 2050.

Continue reading “Researchers discover never-before-seen mechanism bacteria use to resist antibiotic treatment” »

Two weeks ago, COVID-19 conspiracy theorist Stew Peters released an antivax pseudodocumentary, Died Suddenly, whose main claim is that COVID-19 vaccines cause clots that have caused a massive wave of people to “die suddenly.” Key to its narrative are embalmers claiming that they are seeing more clots in the bodies they are embalming than ever before. SBM has recruited Benjamin Schmidt, an experienced embalmer, to dissect their claims.

A lot of anti-ageing vids lately. Good. This concerns Turn.bio. Though not in this vid, MH does have a habit of asking ‘When?” at some point. Previously Turn.bio said they have a first working treatment in just a few years so we’ll see what happens in vids to come of this interview.

In this video Professor Sebastiano introduces ERA, Epigenetic Reprogramming of Age technology and talks about his thoughts on some of the causes of aging.

Continue reading “Age Reversal” »

Patrick Burgermeister of KIZOO Technology Ventures presents at Investing in the Age of Longevity 2022. In his talk, Patrick gives an overview of KIZOO Technology Ventures’ investment strategy, with a particular focus on misson-driven investments in early stage companies that open new categories of treatment. Patrick showcases six biotech startups that form part of the company’s key investments: Cellvie, Revel, Cyclarity, LIfT BioSciences, Elastrin, and Mogling Bio.

Download the presentation slides: https://bit.ly/IAL22-Patrick-Burgermeister.

Continue reading “Investing in the Age of Longevity 2022 — Patrick Burgermeister — KIZOO Technology Ventures” »

Researchers at Penn Medicine and Intel Corporation led the largest-to-date global machine learning effort to securely aggregate knowledge from brain scans of 6,314 glioblastoma (GBM) patients at 71 sites around the globe and develop a model that can enhance identification and prediction of boundaries in three tumor sub-compartments, without compromising patient privacy. Their findings were published today in Nature Communications.

“This is the single largest and most diverse dataset of glioblastoma patients ever considered in the literature, and was made possible through federated learning,” said senior author Spyridon Bakas, Ph.D., an assistant professor of Pathology & Laboratory Medicine, and Radiology, at the Perelman School of Medicine at the University of Pennsylvania. “The more data we can feed into machine learning models, the more accurate they become, which in turn can improve our ability to understand, treat, and remove glioblastoma in patients with more precision.”

Researchers studying rare conditions, like GBM, an aggressive type of brain tumor, often have patient populations limited to their own institution or geographical location. Due to privacy protection legislation, such as the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the United States, and General Data Protection Regulation (GDPR) in Europe, data sharing collaborations across institutions without compromising patient privacy data is a major obstacle for many healthcare providers.

Here’s why the flu and RSV are surging right now—and how COVID itself may have affected our immune systems.