Toggle light / dark theme

Promising New Cancer Therapy Developed by Albert Einstein College of Medicine

Immune checkpoints are a normal part of the immune system. Their function is to prevent an immune response from being so powerful that it destroys healthy cells in the body. Immunotherapy drugs called immune checkpoint inhibitors, such as Keytruda and Opdivo, work by unleashing the immune system’s T cells to attack tumor cells. Their introduction a decade ago marked a major advance in cancer therapy. However, only 10% to 30% of treated patients experience long-term improvement.

Now, scientists at Albert Einstein College of Medicine describe findings that could bolster the effectiveness of immune-checkpoint therapy in a study published in The Journal of Clinical Investigation (JCI) on November 15.

Rather than rally T cells against cancer, the Einstein research team used different human immune cells known as natural killer (NK) cells. Their dramatic results were dramatic. “We believe the novel immunotherapy we’ve developed has great potential to move into clinical trials involving various types of cancer,” said study leader Xingxing Zang, M.Med., Ph.D. He is the Louis Goldstein Swan Chair in Cancer Research and professor of microbiology & immunology, of oncology, of urology, and of medicine at Einstein and a member of the Cancer Therapeutics Program of the Montefiore Einstein Cancer Center.

Johns Hopkins Researchers Have Identified a Potential New Treatment Target for Sleep Apnea

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.

UCSF study shows adults can reduce Alzheimer’s risks with lifestyle changes

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.

Spraying an army of bacteria-eating viruses can save us from food poisoning

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.

After being produced on a farm, food passes through a lot of channels before it makes it to our platter. Preventing it from contamination is almost impossible. However, a team of researchers from McMaster University in Ontario has figured out a way to free food from disease-causing bacteria before it goes into your stomach, according to a press release.

Researchers discover never-before-seen mechanism bacteria use to resist antibiotic treatment

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.


Manjurul/iStock.

To prevent this, Dr. Timothy Barnett — head of the Strep A Pathogenesis and Diagnostics team at the Wesfarmers Centre of Vaccines and Infectious Diseases, based at Telethon Kids Institute in Perth — and his team launched a brand-new mechanism through which bacteria can absorb nutrients from their human hosts while evading antibiotic therapy.

A clot too far: An embalmer dissects antivax misinformation about blood clots in Died Suddenly

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.

Age Reversal

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.

Professor Vittorio Sebastiano manages a lab in Stanford University which developed and patented technology for partial cellular reprogramming. He co-founded Turn Bio, where he is now Head of research, to translate this technology into clinical applications. And with that, let me start the interview.

Turn Bio website.
https://www.turn.bio/
Professor Sebastiano’s lab at Stanford.
https://med.stanford.edu/stemcell/institutefaculty/sebastiano.html.
Transient non-integrative expression of nuclear reprogramming factors promotes multifaceted amelioration of aging in human cells.
https://pubmed.ncbi.nlm.nih.gov/32210226/

Renue By Science 10% of all products: https://tinyurl.com/4yrf4tv3

Investing in the Age of Longevity 2022 — Patrick Burgermeister — KIZOO Technology Ventures

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.

Investing in the Age of Longevity 2022 was held in London on 17 November 2022. The one-day masterclass featured presentations from scientists and business leaders at the cutting edge of the field, giving participants the inside track on the latest aging-related discoveries and investment opportunities.

Download the event programme: https://www.masterinvestor.co.uk/IAL22

Find out more about past and upcoming Master Investor events: https://events.masterinvestor.co.uk

Federated machine learning enables the largest brain tumor study to-date, without sharing patient data

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 data is a major obstacle for many healthcare providers.