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What’s The Biochemistry Of Fitness In 80yr Olds?

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A New Class of Drug Created That Fights Aging on a Cellular Level

Scientists continue to explore ways we can live longer and ensure those lives are healthier. A new discovery of note in this field comes from experiments in fission yeast (an organism often used for studies of aging).

Researchers from Queen Mary University of London have been testing a new drug called Rapalink-1, building on an existing immunosuppressant called rapamycin that has been shown to extend the life of cells and rodents. In these new tests, Rapalink-1 extended yeast lifespan to a similar degree as rapamycin.

What’s more, molecular analysis revealed that the drug increased the production of enzymes that convert a compound made by gut bacteria, called agmatine, into a variety of other chemicals.

Quantum fluctuations found hidden beneath classical optical signals in polaritons

When optical materials (molecules or solid-state semiconductors) are embedded in tiny photonic boxes, known as optical microcavities, they form hybrid light-matter states known as polaritons. Most of the optical properties of polaritons under weak illumination can be understood using textbook classical optics. Now researchers from UC San Diego show that this is not the entire story: there are quantum fluctuations lurking underneath the classical signal and they reveal a great deal about the molecules in question.

Their work redefines the foundations of polaritonics by demonstrating that the optical spectra of these light–matter hybrids, long described by classical optics, in fact bear subtle quantum fingerprints.

Exploiting these signatures allows polaritons to act as sensitive probes of their host materials, opening new directions for polaritonic control, precision sensing, and quantum photonic technologies. Beyond optics, these hidden further suggest novel avenues for steering chemical reactivity and advancing polaritonic chemistry.

Tiny engine runs hotter than the sun to probe the frontiers of thermodynamics

Scientists have created the world’s hottest engine running at temperatures hotter than those reached in the sun’s core. The team from King’s College London and collaborators believe their platform could provide an unparalleled understanding of the laws of thermodynamics on a small scale, and provide the foundation for a new, efficient way to compute how proteins fold—the subject of last year’s Nobel Prize in Chemistry.

Outlined in Physical Review Letters, the engine is a very small, microscopic particle suspended at a low pressure using . This electric trap is called a Paul Trap. The researchers can exponentially increase the heat of the trapped particle by applying a noisy voltage to one of the electrodes levitating it.

While traditionally engines have been associated with motors, in science their definition is much simpler—engines convert one form of energy to . Here, that is heat to movement.

Caltech Shatters Record With 6,100-Qubit Quantum Array

The neutral-atom platform appears promising for scaling up quantum computers. To solve some of the toughest challenges in physics, chemistry, and other fields, quantum computers will eventually need extremely large numbers of qubits. Unlike classical bits that can only represent a 0 or a 1, qubits

Experimental drug findings pave way for clinical trial to target cancer’s elusive growth switch

Researchers at the Francis Crick Institute and Vividion Therapeutics have identified chemical compounds that can precisely block the interaction between the major cancer-driving gene RAS and a key pathway for tumor growth.

Now entering the first clinical trial in humans, if found to be safe and effective, these drugs could be used to treat many different types of cancers while avoiding effects on .

A gene called RAS, which kickstarts cell growth pathways, is mutated in around one in five cancers. Mutated versions of the gene lock the RAS protein in an activated state, telling the cancer cell to keep growing bigger and keep dividing.

Dr. Aliza Apple, Ph.D. — VP, Catalyze360 AI/ML and Global Head, Lilly TuneLab, Eli Lilly

Accelerating Promising Biotech Innovation — Dr. Aliza Apple, Ph.D. — Vice President, Catalyze360 AI/ML and Global Head, Lilly TuneLab, Eli Lilly and Company.


Dr. Aliza Apple, Ph.D. is a Vice President of Catalyze360 AI (https://www.lilly.com/science/partners/catalyze-360 and Global Head of Lilly TuneLab (https://tunelab.lilly.com/) at Eli Lilly where she leads the strategy, build and launch of Lilly’s external-facing AI/ML efforts for drug discovery.

Lilly Catalyze360 represents a comprehensive approach to enabling the early-stage biotech ecosystem, agnostic of the therapeutic area, designed to accelerate emerging and promising science, strategically removing barriers to support biotech innovation.

In her previous role at Lilly, Dr. Apple served as the COO and head of Lilly Gateway Labs West Coast, where she supported the local biotech ecosystem through early engagement and providing tailored offerings to meet their needs.

Prior to Lilly, Dr. Apple served as a co-founder at Santa Ana Bio, a venture-backed precision biologics company focused on autoimmune disease, and as an advisor to the founders of Firefly Biologics.

Enhancing the industrial relevance of alcohol dehydrogenase enzymes by exploiting their ‘hidden reactivity’

Amides and thioesters are ubiquitous compounds in chemistry, used for the production of medicines, natural products, and advanced materials. Traditionally, their synthesis is a messy business, involving wasteful reagents, toxic metals, or energy-intensive conditions.

Researchers discover a hidden atomic order that persists in metals even after extreme processing

For decades, it’s been known that subtle chemical patterns exist in metal alloys, but researchers thought they were too minor to matter—or that they got erased during manufacturing. However, recent studies have shown that in laboratory settings, these patterns can change a metal’s properties, including its mechanical strength, durability, heat capacity, radiation tolerance, and more.

Now, researchers at MIT have found that these chemical patterns also exist in conventionally manufactured metals. The surprising finding revealed a new physical phenomenon that explains the persistent patterns.

In a paper published in Nature Communications today, the researchers describe how they tracked the patterns and discovered the physics that explains them. The authors also developed a simple model to predict chemical patterns in metals, and they show how engineers could use the model to tune the effect of such patterns on metallic properties, for use in aerospace, semiconductors, nuclear reactors, and more.

Research shines light on ‘double-yielding’ behavior in soft materials

For decades, scientists have observed, but been unable to explain, a phenomenon seen in some soft materials: When force is applied, these materials exhibit not one, but two spikes in energy dissipation, known as overshoots. Because overshoots are generally thought to indicate the point at which a material yields, or transitions from solid-like to fluid-like behavior, the dual response was therefore assumed to indicate “double yielding”—the idea that to fully fluidize a material, it needed to yield twice.

Now, researchers at the University of Illinois Urbana-Champaign have shown that this behavior is different than previously hypothesized. Their paper, “Resolving Dual Processes in Complex Oscillatory Yielding,” is published in Physical Review Letters.

In the study, chemical and biomolecular engineering professor Simon A. Rogers and his team, led by then-graduate student James J. Griebler show that the two-step response is the result of two independent processes: first, a softening of the material’s elastic structure, and later, true yielding.

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