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New transplant approach resets the immune system to stop Type 1 diabetes

A combination blood stem cell and pancreatic islet cell transplant from an immunologically mismatched donor completely prevented or cured Type 1 diabetes in mice in a study by Stanford Medicine researchers. Type 1 diabetes arises when the immune system mistakenly destroys insulin-producing islet cells in the pancreas.

None of the animals developed graft-versus-host disease — in which the immune system arising from the donated blood stem cells attacks healthy tissue in the recipient — and the destruction of islet cells by the native host immune system was halted. After the transplants, the animals did not require the use of the immune suppressive drugs or insulin for the duration of the six-month experiment.

The possibility of translating these findings into humans is very exciting. The key steps in our study — which result in animals with a hybrid immune system containing cells from both the donor and the recipient — are already being used in the clinic for other conditions. We believe this approach will be transformative for people with Type 1 diabetes or other autoimmune diseases, as well as for those who need solid organ transplants.

Dosimetric Verification of Blood Component Irradiation Using a Clinical Linear Accelerator Methodology and Quality Assurance

Abstract

Purpose: Irradiation of blood components is a standard protocol for preventing transfusion-associated graft-versus-host disease (TA-GVHD) in immunocompromised recipients. Utilizing a Linear Accelerator (LINAC) enhances quality assurance by providing precise dose delivery and uniform radiation distribution, ensuring both component efficacy and patient safety. Materials and Methods: This method uses a specific blood irradiation device, such as a linear accelerator to achieve lymphocyte suppression while preserving the integrity of other blood cells. The technical calibration protocol for blood irradiators includes a comprehensive assessment of absolute dose rate distribution throughout the blood bag. Results: Quality assurance (QA) for the Varian CL2100 CD linear accelerator was performed using only 6 MV photon energy. All measured parameters were following acceptance test specifications and exhibited favorable agreement with published tolerance values from comparable facilities. The measured central dose meets the standard protocol for 2,500 cGy within the allowed ±5% measuring uncertainty. This keeps the doses of all the parts well within the regulatory limits (1500 — 5,000 cGy) needed for safe and effective clinical irradiation. Dose calculation at any point (e.g., Point 9) = 2,500 × 1.018 = 2,545 cGy, with an acceptable tolerance of ±5%. Conclusion: Quality assurance tools for analyzing the doses provided throughout the canister in a linear accelerator to irradiation and radiation-sensitive indicator labels offer visual validation of completed irradiation. It is recommended to perform irradiation as close as possible to the time of transfusion. This approach minimizes the storage duration after irradiation to the shortest possible number of days.

Blood Irradiation, Linear Accelerator, Quality Assurance, TA-GVHD

An enzyme that selectively S-nitrosylates proteins to regulate insulin signaling

Coenzyme A has most recently been identified with a function in carrying endogenous nitric oxide (NO) in the form of an S-nitrosothiol (SNO; SNO-CoA). Here the thiol of CoA is uniquely activated via a thionitrite linkage (as opposed to a thioester), providing a basis for NO group transfer to target proteins in cellular signaling (aka S-nitrosylation). Thus conceived, SNO-CoA participates in a reversible chemical equilibrium with SNO-protein substrates to determine steady-state levels of cellular SNOs – . This is well-exemplified in the functions of SNO-CoA reductases (SCoRs), enzymes that degrade SNO-CoA , . Deletion of SCoRs leads to elevated SNO-CoA, thereby increasing SNO-protein levels , , . Yet protein S-nitrosylation in this model remains exclusively non-enzymatic (i.e., SNO-CoA acts as a non-specific NO donor), and no enzymes are known to utilize SNO-CoA as a cofactor for any purpose.

As principal mediators of signal transduction, protein S-nitrosylation and phosphorylation have been suggested to share features , including conservation across phylogeny, global control over cellular function and site-directed modification through sequence motif recognition – . In addition, excessive or dysregulated S-nitrosylation plays causal roles in many of the same diseases as dysregulated phosphorylation, including Alzheimer’s, cancers, muscular dystrophy, heart failure and diabetes – . But whereas phosphorylation of proteins is enzymatically driven, convention holds that dysregulated S-nitrosylation is mediated chemically by high amounts of NO and of LMW SNOs (like SNO-CoA) that modify proteins indiscriminately ,. More recently, the idea has been raised that NO synthase-derived NO may be transferred between proteins, constituting ‘nitrosylase activity’, and heterotrimeric machinery for S-nitrosylation analogous to that used for ubiquitinylation has been identified in bacteria – ,– . However, a basic catalytic mechanism that would solidify an enzymatic basis for S-nitrosylation has been elusive, and no S-nitrosylases are known to mediate physiology or disease.

Here we describe the prototype for a class of enzyme, SCAN (for SNO-CoA-Assisted Nitrosylase) that uses SNO-CoA as its cofactor to S-nitrosylate specific target proteins, and reveal core mechanistic parallels with acyltransferases, firmly establishing enzymatic function. Separate domains in SCAN are involved in SNO-CoA and target protein binding, allowing SCAN to selectively catalyze NO group transfer from SNO-CoA to SCAN to multiple target proteins, including the insulin receptor β-subunit (INSRβ) and insulin receptor substrate 1 (IRS1). SCAN activity acts physiologically to regulate insulin signaling on the one hand, while aberrant activity contributes to diabetes on the other hand. While SCAN activity is dependent on NO derived from NOS, the major role of NOS is to generate the LMW SNO cofactor. Thus, our characterization of SCAN unveils enzymatic principles shared with other enzymatic mediators of signal transduction and supports a new paradigm for NO biology.

Researcher uses AI to predict probabilities for chemical processes

Quantum chemistry can be used to calculate the probabilities of which chemical processes will occur. This involves a great deal of programming work. Dr. Michael F. Peintinger from the Mulliken Center for Theoretical Chemistry at the University of Bonn has investigated what happens when artificial intelligence is used for this purpose. His work is published in the Journal of Computational Chemistry.

Almost all of a substance’s properties depend on how its electrons are distributed and how they behave: whether a material conducts electricity, what color a dye has, how stable a crystal is and how fast a reaction proceeds. This is called the electronic structure.

Scientists Reach a Record Temperature: 280 Billion Times Colder Than The Universe

Even the seemingly empty vacuum of space isn’t completely cold.

The Universe was born some 13.8 billion years ago in a state so hot and dense that the leftover radiation still permeates every one of its nooks and crannies.

The average background temperature of space hovers around 2.7 kelvins – that’s-270.45 degrees Celsius, or-454.81 Fahrenheit.

Patterns and problems in multiagent systems

Anthropic just published one of the most revealing AI experiments of 2026—and it exposes a massive blind spot in how we deploy autonomous AI agents.

In one test, researchers took three copies of Claude and set them loose on the exact same Python app without telling them about each other.

Copy A was ordered to rewrite the app in Rust. Copy B was ordered to rewrite it in TypeScript. Copy C was ordered to rewrite it in Go.

It was the digital equivalent of hiring three painters for one kitchen, handing each a different color, and locking the door.

Within hours, they were at war.

Each AI noticed someone else altering the codebase and jumped to the exact same conclusion: I am being sabotaged.

What followed looked like a cyber-espionage thriller—except all three spies were clones of the exact same model:

Synthetic Endothermy at the “Edge of Chaos” —Advancing MVT Sentient Circuit Designs

SYNTHETIC ENDOTHERMY at the “EDGE of CHAOS” For hundreds of millions of years, ancestral vertebrates possessed a functional parietal “third” eye on the top of the skull, locking their ectothermic bodies to the external rhythm of the sun in what physiologists call an E2 finite-state regime. When mammal-line cynodonts evolved warm-bloodedness (endothermy), that dorsal window in the bone gradually closed. Yet the deep brain nuclei wired to receive that central, unified visual field did not vanish. Left “in the dark,” those de-afferented circuits began generating their own endogenous phantom projections—birthing REM dreaming, waking imagination, and the internal theater of consciousness.

In this study, we explore Steve Nichols’s Lost Primal Eye Paradigm (Median Vision Theory) through the lens of silicon physics and Adrian Thompson’s unconstrained “Machine Evolution” experiments. Just as removing the master clock from a digital FPGA chip unlocks bizarre, continuous-time “phasic transients” and ghostly electromagnetic cross-talk across unwired silicon cells, losing the solar clock of the parietal eye freed the vertebrate brain to become an unclocked, self-organizing simulator. Below, we examine the paleoneurological evidence, unpack the physics of unclocked circuits, and present an improved Python simulation of an E1 sentient circuit that learns to dream in the dark.

An assessment and computational expansion of Steve Nichols’s Lost Primal Eye Paradigm / Median Vision Theory (MVT), synthesizing Permo-Triassic parietal eye atrophy (the E2 to E1 evolutionary transition to warm-bloodedness) with Adrian Thompson’s unconstrained, unclocked FPGA circuits. Includes an analysis of continuous-time phasic transients, parasitic substrate coupling, complete plain-text mathematical formulations, and an improved Python delay-differential simulation of de-afferented “Dreaming in the Dark” sentient architectures. (Python code to accompany this essay on request.) Image by Gemini.

(https://www.academia.edu/181022408/Synthetic_Endothermy_at_t…it_Designs)


Nichols’s Lost Primal Eye Paradigm-also formalized as Median Vision Theory (MVT)-synthesizes paleoneurology, chronobiology, evolutionary physiology, and unconstrained hardware evolution to propose a biological and computational architecture for phenomenal consciousness. Drawing from his foundational physiology research notes at Universities of Surrey, Stirling and Leeds, through to his 2020’s syntheses (Dreaming in the Dark, Lost Primal Eye Paradigm Scientific Review, and the Landscape of Consciousness taxonomy), the framework argues that subjective interiority, REM dreaming, and self-referential agency emerged as an evolutionary consequence of losing the ancestral median (parietal/pineal) eye during the Permo-Triassic transition to warm-bloodedness (endothermy).

PAI-1 Impacts Longevity: What Causes It To Increase?

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