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Researchers at the Yerkes National Primate Research Center and the Emory Vaccine Center (EVC) are first to show a new adjuvant, 3M-052, helps induce long-lasting immunity against HIV. The study results are published today in Science Immunology.

In this pre–clinical study that included 90 rhesus monkeys, the researchers showed 3M-052, a new, synthetic small molecule that targets a specific receptor (TLR 7/8), successfully induced vaccine-specific, long-lived bone marrow plasma cells (BM-LLPCs), which are critical for durable immunity. In a striking observation, 3M-052-induced BM-LLPCs were maintained at high numbers for more than one year after vaccination. This prolonged interval is not only feasible in monitoring pre–clinical effectiveness, it is also highly informative in down selecting vaccine candidates.

First author Sudhir Pai Kasturi, Ph.D., an assistant professor in the Department of Pathology and Laboratory Medicine and a research assistant professor at Yerkes and the EVC, says, “We have known adjuvants are critical immunity-boosting supplements that help improve the effectiveness of vaccines. Until now, however, it has been unclear which class of adjuvants can promote stable and long-lived immunity in nonhuman primate models. Our study provides that information.”

There’s a lot of hope that artificial intelligence could help speed up the time it takes to make a drug and also increase the rate of success. Several startups have emerged to capitalize on this opportunity. But Insitro is a bit different from some of these other companies, which rely more heavily on machine learning than biology.

Machine learning can speed up the creation of new drugs and unlock the mysteries of major diseases, says Insitro CEO Daphne Koller.

[Photo: Ivan-balvan/iStock]

Continue reading “Combining AI and biology could solve drug discovery’s biggest problems” »

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CRISPR-Cas9 is a revolutionary gene-editing technology that offers the potential to treat diseases such as cancer, but the effects of CRISPR in patients are currently unknown. Stadtmauer et al. report a phase 1 clinical trial to assess the safety and feasibility of CRISPR-Cas9 gene editing in three patients with advanced cancer (see the Perspective by Hamilton and Doudna). They removed immune cells called T lymphocytes from patients and used CRISPR-Cas9 to disrupt three genes (TRAC, TRBC, and PDCD1) with the goal of improving antitumor immunity. A cancer-targeting transgene, NY-ESO-1, was also introduced to recognize tumors. The engineered cells were administered to patients and were well tolerated, with durable engraftment observed for the study duration. These encouraging observations pave the way for future trials to study CRISPR-engineered cancer immunotherapies.

Science, this issue p. eaba7365; see also p. 976.

Researchers found that the cephalopod is the only creature that can edit its RNA outside the nucleus. It’s a tool that may one day help genetic medicine.

A new genomics study of shark DNA, including from great white and great hammerhead sharks, reveals unique modifications in their immunity genes that may underlie the rapid wound healing and possibly higher resistance to cancers in these ocean predators. This research brings us a few steps closer to understanding, from a genetic sense, why sharks exhibit some characteristics that are highly desirable by humans.

https://www.youtube.com/watch?v=rnfmIkvsDoQ&feature=youtu.be

Liz Parrish and Integrated Health Systems discuss the thymus, an organ that is essential to healthy immune function.

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Continue reading “Master of Your Immune System: The Thymus and Gene Therapy” »

#nugencis #nugenicsresearch #humanlongevity #agereversal #blissatomic
Dr. Harold has been a pioneer in the field of cancer research, in the development of modern aspects of gene hunting and sequencing. He carries expertise in bioinformatics, chronobiology, and biotechnology and is currently working in the capacity of Chief Technical Officer at Nugenics Research Pvt Ltd. exploring in anti-aging modalities.
They recently released a paper online on #biorxiv regarding their breakthrough research on Human Age Reversal using Young Blood #plasma, the paper’s authors include recognized Longevity academician Steve Horvath.

The paper also caught the attention of #davidsinclair the leading researcher/voice in the field of Human Longevity.
Dr Katcher spoke about how & why he moved from cancer research to Human Longevity, his research & results of 54% age reversal in Rats, his partner #akshaysanghavi, the future road map/timelines on how & when this might be commercially available.

Continue reading “Breakthrough in Age Reversal With Youngblood Plasma — Dr Harold Katcher — CTO Nugenics Research” »

The Baudry Lab at The University of Alabama in Huntsville (UAH) has identified 125 naturally occurring compounds that have a computational potential for efficacy against the COVID-19 virus from the first batch of 50,000 rapidly assessed by a supercomputer.

It’s the first time a supercomputer has been used to assess the treatment efficacy of naturally occurring compounds against the proteins made by COVID-19. Located in UAH’s Shelby Center for Science and Technology, the lab is searching for potential precursors to drugs that will help combat the global pandemic using the Hewlett Packard Enterprise (HPE) Cray Sentinel supercomputer.

The UAH team is led by molecular biophysicist Dr. Jerome Baudry (pronounced Bō-dre), the Mrs. Pei-Ling Chan Chair in the Department of Biological Sciences. Dr. Baudry is video blogging about his COVID-19 research journey using HPE’s Cray Sentinel system. His research is in collaboration with the National Center for Natural Products Research at the University of Mississippi School of Pharmacy and HPE.

Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. The work has implications for improved artificial intelligence (AI) applications ranging from medical diagnostics to automated drone piloting.

Neural networks are an advanced type of AI loosely based on the way that our brains work. Our natural neurons exchange electrical impulses according to the strengths of their connections. Artificial neural networks mimic this behavior by adjusting numerical weights and biases during training sessions to minimize the difference between their actual and desired outputs. For example, a neural network can be trained to identify photos of dogs by sifting through a large number of photos, making a guess about whether the photo is of a dog, seeing how far off it is and then adjusting its weights and biases until they are closer to reality.

The drawback to this neural network training is something called “chaos blindness”—an inability to predict or respond to chaos in a system. Conventional AI is chaos blind. But researchers from NC State’s Nonlinear Artificial Intelligence Laboratory (NAIL) have found that incorporating a Hamiltonian function into neural networks better enables them to “see” chaos within a system and adapt accordingly.