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Autoantibody map uncovers body-wide immune attacks across Alzheimer’s, Parkinson’s and MS

Researchers at the University of São Paulo (USP) in Brazil discovered that neurodegenerative diseases, such as Alzheimer’s, Parkinson’s, and multiple sclerosis, are more complex than previously thought. Their analysis of nearly 600 blood samples from patients with and without these diseases revealed that neurodegenerative processes extend beyond the central nervous system, affecting various targets throughout the body.

“We conducted a systemic analysis based on autoantibodies—defense proteins [immunoglobulins] that mistakenly attack the body’s healthy cells, tissues, or organs instead of external pathogens. In this study, we saw that, contrary to what was previously thought, these diseases don’t involve an antibody attacking only a specific region of the connection between neurons [synapse], like a thief breaking in through a door. It’s a systemic attack, like machine-gunning an entire house,” explains Júlia Nakanishi Usuda, first author of the study.

The study, published in the journal iScience, identified more than 9,000 autoantibodies from public databases. Based on the results, the researchers suggest that, rather than focusing on isolated molecular targets, treatment strategies for these diseases should focus on blocking the autoimmune response systemically. While the data science study still needs to be confirmed through in vitro and in vivo testing, it reinforces a new paradigm for treating neurodegenerative diseases.

Identifying High-Risk Smoldering Multiple Myeloma for Early Intervention

In a cohort study comparing high-risk definitions for smoldering multiple myeloma (#SMM), the AQUILA trial criteria was assessed against the 2/20/20 risk model.

The AQUILA criteria classified approximately 3 times more individuals as high-risk versus the 2/20/20 model, but included a substantial group with lower progression risk.

The 2/20/20 model more precisely identified a smaller group of individuals with higher risk of progression, supporting its use to target early intervention for those most likely to benefit.


This cohort study compares the AQUILA trial inclusion criteria and the 2/20/20 risk stratification model definitions for identifying individuals with smoldering multiple myeloma at high risk of progression.

Gene-screen strategy separates Parkinson’s promoters from protectors, revealing new drug targets

A novel strategy that combines computational and experimental approaches has allowed researchers at Baylor College of Medicine and the Duncan Neurological Research Institute (Duncan NRI) at Texas Children’s Hospital to distinguish alterations in gene function that contribute to Parkinson’s disease from those that protect from the condition. The study, published in Neurobiology of Disease, revealed novel risk factors and previously unrecognized therapeutic targets, offering hope for a future in which effective therapies will be available to prevent, slow down or stop this devastating disease.

“Parkinson’s disease is the most common neurodegenerative movement disorder—it affects more than 10 million people worldwide,” said corresponding author Dr. Juan Botas, professor of molecular and human genetics and molecular and cellular biology at Baylor. Botas also is a member of the Duncan NRI and director of the High Throughput Behavioral Screening Core at Texas Children’s.

“People with the condition have tremors, muscle stiffness and balance problems. They move slowly with a shuffling gait; their symptoms often start gradually and worsen over the years. Current therapies only relieve symptoms but do not prevent the gradual loss of brain cells called neurons that cause the disease,” said Dr. Botas.

Chinese scientists discover rare-earth-rich new lunar minerals in Chang’e-5 mission samples

Chinese scientists have identified two previously unknown lunar minerals from the 1,731 grams of moon samples returned by Chang’e-5 mission, marking another major breakthrough in deep-space research. The findings were announced on Friday at the opening ceremony of the 11th China Space Day. The two newly discovered minerals have been officially approved and classified by the International Mineralogical Association. They are named magnesiochangesite-(Y) and changesite-(Ce).

Researchers use statistics and math to understand how the brain works

Nothing rivals the human brain’s complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion connections. If the brain were a computer, it would perform an exaflop (a billion-billion) mathematical calculations every second and use the equivalent of only 20 watts of power. As impressive as the brain is, neurologists can’t fully explain how neurons work together.

To help find answers, researchers at the Institute for Neuroscience, Neurotechnology, and Society (INNS) at Georgia Tech are using math, data, and AI to unlock the secrets of thought. Together they are helping turn the brain’s raw electrical “noise” into real insights about how people think, move, and perceive the world.

Fair warning: Prepare your neurons for the complexity of this brain research ahead.

Large brain mapping dataset expands with new set of cognitive tasks

The Individual Brain Charting (IBC) project has released its fifth and largest update of high-resolution fMRI data, adding a new set of cognitive tasks to one of the most detailed brain-mapping datasets available today. The dataset, which is openly accessible through EBRAINS, is described in a new publication in Nature Scientific Data.

The new release expands the dataset with 18 tasks collected from 11 participants under tightly controlled, standardised conditions – bringing many of them close to 40 hours of scanned data each.

The IBC project launched in 2014 and was funded by the Human Brain Project. It aims to map how individual brains respond across a wide range of cognitive functions. By repeatedly scanning the same participants with diverse tasks – from mathematics and spatial navigation to emotion recognition, reward processing, and working memory – the team is building an exceptionally rich resource for studying individual variability in brain organization.

Scientists invent artificial neurons that ‘talk’ to real brain cells, paving way to better brain implants

Engineers have printed tiny, artificial neurons that can “talk” to mouse brain cells, and the development could pave the way to innovations in computing and medicine.

The work, published April 15 in the journal Nature Nanotechnology, adds to a growing field that aims to build computers that mimic the inner workings of the brain.

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