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Red light therapy shows promise for protecting football players’ brains

Punch-drunk syndrome, boxer’s madness, chronic traumatic encephalopathy (CTE). The name has changed over the years, but the cause is clear: repeated impacts can affect long-term brain health, with symptoms ranging from confusion to memory loss and potentially dementia. More than 100 former NFL football players have been posthumously diagnosed with CTE.

What’s less clear is how to fix the problem. Even impacts that don’t directly affect the head may cause microscopic damage or initiate toxic processes that unfold over time, and current therapies for concussion and head impacts tend to address symptoms, like headache and balance issues, that can arise well after the initial injury.

But an unorthodox treatment called red light therapy, which shines powerful near-infrared light at the brain through the skull, may be able to prevent or reduce subtle damage to the brain before symptoms start, by reducing brain inflammation caused by repetitive impacts.

A new atlas could help guide researchers studying neurological disease

Functioning brain cells need a functioning system for picking up the trash and sorting the recycling. But when the cellular sanitation machines responsible for those tasks, called lysosomes, break down or get overwhelmed, it can increase the risk of Alzheimer’s, Parkinson’s, and other neurological disorders.

“Lysosomal function is essential for brain health, and mutations in lysosomal genes are risk factors for neurodegenerative diseases,” said Monther Abu-Remaileh, a Wu Tsai Neuro affiliate and an assistant professor of chemical engineering in the Stanford School of Engineering and an assistant professor of genetics in the Stanford School of Medicine.

The trouble is, scientists aren’t sure exactly how lysosomes do their work, what’s going wrong with lysosomes that leads to neurodegeneration—or even in which cell types neurodegenerative disease begins. There might even be other lysosomal disorders yet to be discovered.

Growth chambers could enable reproducible plant-microbe data across continents

Harnessing the power of artificial intelligence to study plant microbiomes—communities of microbes living in and around plants—could help improve soil health, boost crop yields, and restore degraded lands. But there’s a catch: AI needs massive amounts of reliable data to learn from, and that kind of consistent information about plant-microbe interactions has been hard to come by.

In a new paper in PLOS Biology, researchers in the Biosciences Area at Lawrence Berkeley National Laboratory (Berkeley Lab) led an international consortium of scientists to study whether small plastic growth chambers called EcoFABs could help solve this problem.

Building on their previous work with microbe-free plants, the scientists used the Berkeley Lab-developed devices to run identical plant–microbe experiments across labs on three continents and got matching results. The breakthrough shows that EcoFABs can remove one of the biggest barriers in microbiome research: the difficulty of reproducing experiments in different places.

Neuropsychiatric symptoms in cognitive decline and Alzheimer’s disease: biomarker discovery using plasma proteomics

Placental toxicology progress!

Commonly used in vitro and in vivo placental models capture key placental functions and toxicity mechanisms, but have significant limitations.

The physiological relevance of placental models varies, with a general hierarchy of simple in vitro complex in vitro/ organ-on-chip in vivo, but species-of origin considerations may alter their relevance to human physiology.

Cellular, rodent, human, and computational modeling systems provide insights into placental transport, physiology, and toxicology linked to maternal–fetal health.

Recent advances in 3D culture and microfluidic technologies offer more physiologically relevant models for studying the placenta.

Mathematical modeling approaches can integrate mechanistic physiological data and exposure assessments to define key toxicokinetic parameters.

Environmental chemical concentrations and omic data obtained from placental tissues can link toxicant influences on placental function to adverse birth outcomes.

Physiologic Pacing in Heart Failure

Cardiac physiologic pacing, also known as cardiac resynchronization therapy, is indicated in patients with heart failure, reduced left ventricular ejection fraction (LVEF) of 50% or less, and either a high (or anticipated high) ventricular pacing burden or a wide QRS complex. Traditionally, physiologic pacing has been achieved with biventricular pacing with a right ventricular lead and a coronary sinus branch lead. Randomized trials involving more than 10,000 patients with heart failure have shown clinical, exercise, and quality-of-life benefits associated with biventricular pacing, as well as improved LVEF and reduced mitral regurgitation and ventricular volumes. These benefits are greatest in patients with left bundle-branch block and a QRS duration of 150 msec or longer.

Analog hardware may solve Internet of Things’ speed bumps and bottlenecks

The ubiquity of smart devices—not just phones and watches, but lights, refrigerators, doorbells and more, all constantly recording and transmitting data—is creating massive volumes of digital information that drain energy and slow data transmission speeds. With the rising use of artificial intelligence in industries ranging from health care and finance to transportation and manufacturing, addressing the issue is becoming more pressing.

A research team led by the University of Massachusetts Amherst aims to address the problem with new technology that uses old-school analog computing: an electrical component known as a memristor.

“Certainly, our society is more and more connected, and the number of those devices is increasing exponentially,” says Qiangfei Xia, the Dev and Linda Gupta professor in the Riccio College of Engineering at UMass Amherst. “If everyone is collecting and processing data the old way, the amount of data is going to be exploding. We cannot handle that anymore.”

B cells play a more sinister role than believed in progression of type 1 diabetes

A recent study by Vanderbilt Health researchers has revealed a greater, detrimental role for B lymphocytes (B cells) in the progression of type 1 diabetes (T1D).

B cells are immune cells thought to drive the immune system’s attack on insulin-producing beta cells by activating anti-islet T cells. The study published in Diabetes suggests they play an even more sinister role by also interfering with and limiting the function of regulatory T cells (Tregs) that help calm the immune system.

“Our study showed B cells can weaken the body’s natural defenses by interfering with Tregs, which normally behave as peacekeepers to ward off immune attacks on the pancreas and the insulin-producing beta cells,” said Daniel Moore, MD, PhD, associate professor of Pediatrics at Vanderbilt Health and the study’s corresponding author.

Two harmful gene variants can restore function when combined, study reveals

Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, when occurring together in a gene, can restore function—proving a decades-old hypothesis originally proposed by Nobel laureate Francis Crick.

Their study, to be published in the Proceedings of the National Academy of Sciences, not only experimentally validated this theory but also introduced a powerful artificial intelligence (AI)-driven approach to genetic interpretation led by George Mason University researchers.

The project began when Aimée Dudley, a geneticist at the Pacific Northwest Research Institute (PNRI), approached George Mason University Chief AI Officer Amarda Shehu after following her lab’s work on frontier AI models for predicting the functional impact of genetic variation. That conversation sparked a collaboration that married PNRI’s experimental expertise with George Mason’s computational innovation to discover some surprising ways variant combinations can shape human health.

Human heart regrows muscle cells after heart attack, researchers discover

Pioneering research by experts at the University of Sydney, the Baird Institute and the Royal Prince Alfred Hospital in Sydney has shown that heart muscle cells regrow after a heart attack, opening up the possibility of new regenerative treatments for cardiovascular disease.

Following the publication of the study in Circulation Research, first author Dr. Robert Hume, from the Faculty of Medicine and Health and Charles Perkins Center, and Lead of Translational Research at the Baird Institute for Applied Heart and Lung Research, explained the significance of the finding: Until now we’ve thought that, because heart cells die after a heart attack, those areas of the heart were irreparably damaged, leaving the heart less able to pump blood to the body’s organs.

Our research shows that while the heart is left scarred after a heart attack, it produces new muscle cells, which opens up new possibilities.

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