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Mitochondrial dysfunction in cerebrovascular diseases

Opening of the mitochondrial permeability transition pore, Ca2+ overload, and mitochondrial fragmentation are early features of stroke-induced brain injury observed in experimental models.

Mitochondrial reactive oxygen species and activation of the cyclophilin D– reactive oxygen species–NLR family pyrin domain-containing 3–matrix metalloproteinase-9 axis are associated with intracranial aneurysm progression, linking mitochondrial stress to vascular wall instability.

Disruption of mitochondrial homeostasis exacerbates vascular pathology in intracranial atherosclerotic stenosis, arteriovenous malformations, and cavernous malformation, indicating a shared mitochondrial contribution across cerebrovascular disorders.

Pharmacological modulation of mitochondrial permeability, redox signaling, proprotein convertase subtilisin/ kexin type 9, and mechanistic target of rapamycin kinase pathways shows robust preclinical efficacy, while clinical outcomes remain heterogeneous.

Experimental studies support the feasibility of mitochondrial transplantation in models of cerebrovascular injury, including stroke. sciencenewshighlights ScienceMission https://sciencemission.com/Mito-dysfunction-in-CVD

Mitochondria are central regulators of cerebrovascular health through their control of energy metabolism, Ca2+ homeostasis, and redox signaling, and their dysfunction represents a convergent pathogenic mechanism across cerebrovascular diseases. In ischemic stroke, mitochondrial failure exacerbates neuronal injury via permeability transition pore opening, oxidative stress, and bioenergetic collapse, while altered mitochondrial dynamics and the release of mitochondrial damage-associated molecular patterns amplify neuroinflammation during reperfusion. Beyond stroke, mitochondrial dysfunction contributes to intracranial aneurysms, atherosclerotic stenosis, and vascular malformations, where oxidative stress, mitochondrial DNA instability, and cell type-specific metabolic reprogramming drive vascular remodeling and lesion progression.

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An intrinsically disordered tug of war that fine-tunes acetylation

Acetylation of histones and transcriptional regulators modulates gene expression, but how acetyltransferases define target specificity remains puzzling. In Cell Reports, Gelder et al. have shown how intrinsically disordered regions of CBP temper each other to shape acetyltransferase activity.

ALDH1L2 regulates reactive oxygen species and acinar-to-ductal metaplasia in the pancreas

Role of NADPH enzymes in pancreatic cancer.

Pancreas repair following injury involves reversible acinar-to-ductal metaplasia (ADM) and oncogenic KRAS mutations can progress ADM to pancreatic intraepithelial neoplasia (PanIN) and pancreatic ductal adenocarcinoma (PDAC) but, the metabolic alterations in these precancerous lesions are not established.

In 2 studies published in Nature Metabolism, researchers demonstrate decline in NADPH producing enzymes that reduce oxidative stress and protect the pancreatic cells.

In one study, the authors show aldehyde dehydrogenase 1 family member L2 (ALDH1L2), an NADPH-producing mitochondrial enzyme expression level decreases progressively during ADM and is completely absent in pancreatic ductal cells. ALDH1L2 loss elevates ROS and promotes ADM in a model of pancreatitis and accelerates tumor progression in models of pancreatic cancer.

In the 2nd study, the authors show NRF2-target genes are significantly induced in ADM. Among these, genes encoding NADPH-producing enzymes glucose-6-phosphate dehydrogenase (G6PD) and malic enzyme 1 (ME1), which participate in the regulation of oxidative stress.

In mouse models of pancreatic tumorigenesis, G6PD deficiency or Me1 loss increases reactive oxygen species and lipid peroxidation, which is accompanied by accelerated formation of ADM and PanIN lesions. The authors also show that Me1 loss, but not G6PD deficiency, promotes faster PDAC progression. sciencenewshighlights Science Mission https://www.nature.com/articles/s42255-026-01496-x https://sciencemission.com/NADPH-producing-enzymes https://sciencemission.com/ALDH1L2-regulates-reactive-oxygen-species

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Explosive evaporation unlocks new possibilities in 3D printing and chemical analysis

Water droplets might seem simple at first. But when nearing evaporation, a desperate power struggle of competing physical forces can emerge, with explosive effects. In a Proceedings of the National Academy of Sciences publication, researchers have taken a closer look at the physics of charged water droplets on frictionless surfaces, observing spontaneous jets of microdroplet emissions. Their insights may open new opportunities in nanoscale fabrication and electrospray ionization.

Professor Dan Daniel, head of the Droplet and Soft Matter Unit at the Okinawa Institute of Science and Technology (OIST) says, “From raindrops to spray coatings, mass spectrometry to microfluidics, sneezes to spacecraft plumes, charged droplets can show up in a surprising wealth of settings. Our observations enable new physical understanding of evaporating charged droplets, with a range of potential industrial applications.”

Physicists achieve first-ever ‘quadsqueezing’ quantum interaction

Researchers at the University of Oxford have demonstrated a new type of quantum interaction using a single trapped ion. By creating and controlling increasingly complex forms of “squeezing” – including a fourth-order effect known as quadsqueezing – the team has, for the first time, made previously unreachable quantum effects experimentally accessible.

The approach also provides a new way to engineer these interactions, with potential applications in quantum simulation, sensing, and computing. Their results have been published in Nature Physics.

Many systems in physics behave like tiny objects that vibrate or swing back and forth, like a spring or a pendulum. In quantum physics, these are known as quantum harmonic oscillators. Light waves, vibrations in molecules, and even the motion of a single trapped atom can all be described in this way. Controlling these systems is important for quantum technologies, from ultra-precise sensors to new kinds of quantum computers.

Mechanochemistry simplifies synthesis of challenging conductive organic molecules

Mechanochemistry is a growing field for chemical reactions that proceed in the solid state in the absence, or with minuscule amounts, of solvent added. For decades, solvents have been considered conventional for the progression of modern chemistry; nonetheless, researchers are increasingly demonstrating that mechanochemistry can synthesize complex molecules more effectively. With more progress, mechanochemistry could alleviate solvent-related environmental and financial burdens in chemical industries.

Using mechanochemistry, researchers from Nagoya University, including Koya M. Hori, Yoshifumi Toyama, and Hideto Ito successfully developed a two-step synthetic method for dihydrodinaphthopentalenes (DHDPs), conductive organic molecules that are considerably challenging to synthesize. These findings were recently published in the journal RSC Mechanochemistry on February 5, 2026. The results are expected to advance the synthesis of compounds with applications in organic materials.

Conductive organic molecules are used in increasingly essential technologies such as OLEDs in smartphone screens, solar cells for renewable energy, anti-static polymer coatings, and more. Perhaps due to their complex and expensive synthesis, however, DHDPs have not been integrated into any commercialized products.

Physicists have measured ‘negative time’ in the lab

As Homer tells us, Odysseus made an epic journey, against the odds, from Troy to his home in Ithaca. He visited many lands, but mostly dwelt with the nymph Calypso on her island. We can imagine that his wife, Penelope, would have asked him about that particular time. Odysseus might have replied, “It was nothing. In fact, it was less than nothing. Negative five years I dwelt with Calypso. How else could I have arrived home after only ten years? If you don’t believe me, ask her.”

Quantum particles, it turns out, are just as wily as Odysseus, as we have shown in an experiment published in Physical Review Letters. Not only can their arrival time suggest that they dwelt with other particles for a negative amount of time, but if one asks those other particles, they will corroborate the story.

The way a cell fails to divide after copying its DNA can determine its fate

Cell division is one of the most fundamental and complex processes underpinning life. In human cells, thousands of molecules coordinate with one another in highly precise steps, all within a fraction of a second. But things don’t always go as planned.

Before a cell divides into two, it must first copy its DNA, so that each new cell receives a complete set. Occasionally, what can happen is, a cell successfully copies its DNA but then fails to split into two. When this happens, the cell is left with two copies of its DNA—a condition known as whole genome duplication (WGD).

One way to picture this is to imagine photocopying a document. Normally, you would make two copies and place one in each folder. In whole genome duplication, the copies are made but not separated, leaving one folder with both copies.

AI tackles one of math’s most brutal problems: Inverse PDEs

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for understanding the natural world.

The advance, which the researchers call “Mollifier Layers,” could benefit fields as varied as genetics and weather forecasting, because inverse PDEs help scientists work backward from observable patterns to infer the hidden dynamics that produced them.

“Solving an inverse problem is like looking at ripples in a pond and working backward to figure out where the pebble fell,” says Vivek Shenoy, Eduardo D. Glandt President’s Distinguished Professor in Materials Science and Engineering (MSE) and senior author of a study published in Transactions on Machine Learning Research (TMLR), which will be presented at the Conference on Neural Information Processing Systems (NeurIPS 2026). “You can see the effects clearly, but the real challenge is inferring the hidden cause.”

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