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A new model of Alzheimer’s disease has been proposed, which could speed up efforts to understand and cure the complex condition – while bringing all manifestations of the condition under one unifying theory.

Researchers from Arizona State University suggest that stress granules – protein and RNA clumps that form around cells in stressful conditions due to genetic and environmental risk factors – are the primary culprit behind the disease.

In their new study, the team reviewed data from multiple health databases and past papers – particularly a 2022 study on Alzheimer’s progression – to identify widespread changes in gene expression that come with it.

As you age you naturally lose neurons and muscle mass and experience a decline in fertility and wound healing ability. Previous research in animals has offered several potential techniques for turning back the biological clock in specific tissues, including exercise and calorie restriction. However, age reversal of blood cells or at whole organism level has so far been elusive.

Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method inspired by quantum mechanics that handles large data sets more efficiently than traditional methods by simplifying them and filtering out noise.

This method could spur innovation in data-rich but statistically intimidating fields, like and epigenetics, where traditional data methods have thus far proved insufficient.

The paper is published in the journal Scientific Reports.

A recently discovered inflammatory disease known as VEXAS syndrome is more common, variable, and dangerous than previously understood, according to results of a retrospective observational study of a large health care system database. The findings, published in JAMA, found that it struck 1 in 4,269 men over the age of 50 in a largely White population and caused a wide variety of symptoms.

“The disease is quite severe,” study lead author David Beck, MD, PhD, of the department of medicine at NYU Langone Health, said in an interview. Patients with the condition “have a variety of clinical symptoms affecting different parts of the body and are being managed by different medical specialties.”

Dr. Beck and colleagues first described VEXAS (vacuoles, E1-ubiquitin-activating enzyme, X-linked, autoinflammatory, somatic) syndrome in 2020. They linked it to mutations in the UBA1 (ubiquitin-like modifier activating enzyme 1) gene. The enzyme initiates a process that identifies misfolded proteins as targets for degradation.

Nearly 16 million American adults have been diagnosed with attention deficit hyperactivity disorder (ADHD), but evidence suggests that more than 30% of them don’t respond well to stimulant medications like Ritalin and Adderall.

A new clinical trial provides a surprising explanation for why this may be the case: There are in how our are wired, including the chemical circuits responsible for memory and concentration, according to a new study co-led by the University of Maryland School of Medicine (UMSOM) and performed at the National Institutes of Health (NIH) Clinical Center.

Our brain cells have different types of chemical receptors that work together to produce optimal performance of brain function. Differences in the balance of these receptors can help explain who is likely to benefit from Ritalin and other stimulant medications. That is the finding of the new research published in the Proceedings of the National Academy of Sciences.

While the threat that microplastics pose to human and ecological health has been richly documented and is well known, nanoplastics, which are smaller than one micrometer (1/50th the thickness of an average human hair), are far more reactive, far more mobile and vastly more capable of crossing biological membranes. Yet, because they are so tiny and so mobile, researchers don’t yet have an accurate understanding of just how toxic these particles are.

The first step to understanding the toxicology of nanoplastics is to build a reliable, efficient and flexible tool that can not only quantify their concentration in a given sample, but also analyze which specific plastics that sample contains.

An international team of scientists led by the University of Massachusetts Amherst reports in Nature Water on the development of a new tool, known as the OM-SERS setup, which can do all of these things and can furthermore be used to detect particular nanoplastic concentrations and polymer types in solid samples, such as soils, body tissues and plants.

People breathing contaminated air over the course of years are at greater risk of developing numerous diseases. This is thought to be due to highly reactive components in particulate matter, which affect biological processes in the body. However, researchers from the University of Basel, Switzerland, have now shown that precisely these components disappear within hours and that previous measurements therefore completely underestimate the quantities in which they are present.

From chronic respiratory problems to cardiovascular diseases, diabetes and dementia, health damage caused by air pollution is wide-ranging and serious. The World Health Organization (WHO) estimates that over six million deaths a year are caused by increased exposure to particulate matter.

The chemical composition of these tiny particles in the air, which come from a wide range of both anthropogenic and natural sources, is highly complex. Which particles trigger which reactions and long-term diseases in the body is the subject of intensive research.