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Experimental drug shows potential against Alzheimer’s disease: Removing ‘garbage’ from brain cells improves memory in mice

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Experimental drug shows potential against Alzheimer’s disease: Removing ‘garbage’ from brain cells improves memory in mice

Researchers at Albert Einstein College of Medicine have designed an experimental drug that reversed key symptoms of Alzheimer’s disease in mice. The drug works by reinvigorating a cellular cleaning mechanism that gets rid of unwanted proteins by digesting and recycling them. The study was published online today in the journal Cell.

“Discoveries in mice don’t always translate to humans, especially in Alzheimer’s disease,” said co-study leader Ana Maria Cuervo, M.D., Ph.D., the Robert and Renée Belfer Chair for the Study of Neurodegenerative Diseases, professor of developmental and molecular biology, and co-director of the Institute for Aging Research at Einstein. “But we were encouraged to find in our study that the drop-off in cellular cleaning that contributes to Alzheimer’s in mice also occurs in people with the disease, suggesting that our drug may also work in humans.” In the 1990s, Dr. Cuervo discovered the existence of this cell-cleaning process, known as chaperone-mediated autophagy (CMA) and has published 200 papers on its role in health and disease.

CMA becomes less efficient as people age, increasing the risk that unwanted proteins will accumulate into insoluble clumps that damage cells. In fact, Alzheimer’s and all other neurodegenerative diseases are characterized by the presence of toxic protein aggregates in patients’ brains. The Cell paper reveals a dynamic interplay between CMA and Alzheimer’s disease, with loss of CMA in neurons contributing to Alzheimer’s and vice versa. The findings suggest that drugs for revving up CMA may offer hope for treating neurodegenerative diseases.

Establishing CMA’s Link to Alzheimer’s

Dr. Cuervo’s team first looked at whether impaired CMA contributes to Alzheimer’s. To do so, they genetically engineered a mouse to have excitatory brain neurons that lacked CMA. The absence of CMA in one type of brain cell was enough to cause short-term memory loss, impaired walking, and other problems often found in rodent models of Alzheimer’s disease. In addition, the absence of CMA profoundly disrupted proteostasis — the cells’ ability to regulate the proteins they contain. Normally soluble proteins had shifted to being insoluble and at risk for clumping into toxic aggregates.

Dr. Cuervo suspected the converse was also true: that early Alzheimer’s impairs CMA. So she and her colleagues studied a mouse model of early Alzheimer’s in which brain neurons were made to produce defective copies of the protein tau. Evidence indicates that abnormal copies of tau clump together to form neurofibrillary tangles that contribute to Alzheimer’s. The research team focused on CMA activity within neurons of the hippocampus — the brain region crucial for memory and learning. They found that CMA activity in those neurons was significantly reduced compared to control animals.


What about early Alzheimer’s in people — does it block CMA too? To find out, the researchers looked at single-cell RNA-sequencing data from neurons obtained postmortem from the brains of Alzheimer’s patients and from a comparison group of healthy individuals. The sequencing data revealed CMA’s activity level in patients’ brain tissue. Sure enough, CMA activity was somewhat inhibited in people who had been in the early stages of Alzheimer’s, followed by much greater CMA inhibition in the brains of people with advanced Alzheimer’s.

“By the time people reach the age of 70 or 80, CMA activity has usually decreased by about 30% compared to when they were younger,” said Dr. Cuervo. “Most peoples’ brains can compensate for this decline. But if you add neurodegenerative disease to the mix, the effect on the normal protein makeup of brain neurons can be devastating. Our study shows that CMA deficiency interacts synergistically with Alzheimer’s pathology to greatly accelerate disease progression.”

A New Drug Cleans Neurons and Reverses Symptoms

In an encouraging finding, Dr. Cuervo and her team developed a novel drug that shows potential for treating Alzheimer’s. “We know that CMA is capable of digesting defective tau and other proteins,” said Dr. Cuervo. “But the sheer amount of defective protein in Alzheimer’s and other neurodegenerative diseases overwhelms CMA and essentially cripples it. Our drug revitalizes CMA efficiency by boosting levels of a key CMA component.”

In CMA, proteins called chaperones bind to damaged or defective proteins in cells of the body. The chaperones ferry their cargo to the cells’ lysosomes — membrane-bound organelles filled with enzymes, which digest and recycle waste material. To successfully get their cargo into lysosomes, however, chaperones must first “dock” the material onto a protein receptor called LAMP2A that sprouts from the membranes of lysosomes. The more LAMP2A receptors on lysosomes, the greater the level of CMA activity possible. The new drug, called CA, works by increasing the number of those LAMP2A receptors.


“You produce the same amount of LAMP2A receptors throughout life,” said Dr. Cuervo. “But those receptors deteriorate more quickly as you age, so older people tend to have less of them available for delivering unwanted proteins into lysosomes. CA restores LAMP2A to youthful levels, enabling CMA to get rid of tau and other defective proteins so they can’t form those toxic protein clumps.” (Also this month, Dr. Cuervo’s team reported in Nature Communications that, for the first time, they had isolated lysosomes from the brains of Alzheimer’s disease patients and observed that reduction in the number of LAMP2 receptors causes loss of CMA in humans, just as it does in animal models of Alzheimer’s.)

The researchers tested CA in two different mouse models of Alzheimer’s disease. In both disease mouse models, oral doses of CA administered over 4 to 6 months led to improvements in memory, depression, and anxiety that made the treated animals resemble or closely resemble healthy, control mice. Walking ability significantly improved in the animal model in which it was a problem. And in brain neurons of both animal models, the drug significantly reduced levels of tau protein and protein clumps compared with untreated animals.

“Importantly, animals in both models were already showing symptoms of disease, and their neurons were clogged with toxic proteins before the drugs were administered,” said Dr. Cuervo. “This means that the drug may help preserve neuron function even in the later stages of disease. We were also very excited that the drug significantly reduced gliosis — the inflammation and scarring of cells surrounding brain neurons. Gliosis is associated with toxic proteins and is known to play a major role in perpetuating and worsening neurodegenerative diseases.”

Treatment with CA did not appear to harm other organs even when given daily for extended periods of time. The drug was designed by Evripidis Gavathiotis, Ph.D.,, professor of biochemistry and of medicine and a co-leader of the study.

Drs. Cuervo and Gavathiotis have teamed up with Life Biosciences of Boston, Mass., to found Selphagy Therapeutics, which is currently developing CA and related compounds for treating Alzheimer’s and other neurodegenerative diseases.

The study is titled, “Chaperone-mediated autophagy prevents collapse of the neuronal metastable proteome.” The study’s other co-leader and first author is Mathieu Bourdenx, Ph.D., a postdoctoral fellow in Dr. Cuervo’s lab and also a junior researcher at the Institute of Neurodegenerative Diseases, University of Bordeaux, France. Additional Einstein authors include: Adrián Martín-Segura, Aurora Scrivo, Susmita Kaushik, Ph.D., Inmaculada Tasset, Ph.D., Antonio Diaz and Yves R. Juste.

Other contributors include: Jose A. Rodriguez-Navarro (formerly at Einstein) at Hospital Universitario Ramón y Cajal, Madrid, Spain, Nadia J. Storm (formerly at Einstein) at University of Copenhagen, Denmark, Qisheng Xin (formerly at Einstein), Erica Stevenson, Nevan Krogan and Danielle L. Swaney both at University of California at San Francisco, CA, Enrique Luengo at Universidad Autonoma de Madrid, Madrid, Spain, Cristina Clement, Ph.D., and Laura Santambrogio, M.D., Ph.D., both at Weill Cornell Medicine, New York, NY, Se Joon Choi, Ph.D., Eugene V. Mosharov and David Sulzer, Ph.D., all at Columbia University Medical Center, New York, NY and Fiona Grueninger, Ph.D., and Ludovic Collin both at Roche Pharma, Switzerland.

The study was supported by the National Institutes of Health (AG054108, AG021904, AG017617, AG038072, AG031782, NS100717, NS095435), the JPB Foundation, the Rainwater Charitable Foundation, Michael J. Fox Foundation, and the Backus Foundation.

Drs. Cuervo and Gavathiotis are cofounders and scientific advisory board members of Selphagy Therapeutics Inc. now part of Life Bioscience (Boston, MA). CA compound is under the following patent: Retinoic acid receptor antagonists as chaperone-mediated autophagy modulators and uses thereof; Gavathiotis E, Cuervo AM, Xin Q, Das BC; United States patent granted US9512092; 2016 Dec 16. The remaining authors declare no competing interests.

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Early dark energy could resolve cosmology’s two biggest puzzles

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Experimental drug shows potential against Alzheimer’s disease: Removing ‘garbage’ from brain cells improves memory in mice


A new study by MIT physicists proposes that a mysterious force known as early dark energy could solve two of the biggest puzzles in cosmology and fill in some major gaps in our understanding of how the early universe evolved.

One puzzle in question is the “Hubble tension,” which refers to a mismatch in measurements of how fast the universe is expanding. The other involves observations of numerous early, bright galaxies that existed at a time when the early universe should have been much less populated.

Now, the MIT team has found that both puzzles could be resolved if the early universe had one extra, fleeting ingredient: early dark energy. Dark energy is an unknown form of energy that physicists suspect is driving the expansion of the universe today. Early dark energy is a similar, hypothetical phenomenon that may have made only a brief appearance, influencing the expansion of the universe in its first moments before disappearing entirely.

Some physicists have suspected that early dark energy could be the key to solving the Hubble tension, as the mysterious force could accelerate the early expansion of the universe by an amount that would resolve the measurement mismatch.

The MIT researchers have now found that early dark energy could also explain the baffling number of bright galaxies that astronomers have observed in the early universe. In their new study, reported in the Monthly Notices of the Royal Astronomical Society, the team modeled the formation of galaxies in the universe’s first few hundred million years. When they incorporated a dark energy component only in that earliest sliver of time, they found the number of galaxies that arose from the primordial environment bloomed to fit astronomers’ observations.

You have these two looming open-ended puzzles,” says study co-author Rohan Naidu, a postdoc in MIT’s Kavli Institute for Astrophysics and Space Research. “We find that in fact, early dark energy is a very elegant and sparse solution to two of the most pressing problems in cosmology.”

The study’s co-authors include lead author and Kavli postdoc Xuejian (Jacob) Shen, and MIT professor of physics Mark Vogelsberger, along with Michael Boylan-Kolchin at the University of Texas at Austin, and Sandro Tacchella at the University of Cambridge.

Big city lights

Based on standard cosmological and galaxy formation models, the universe should have taken its time spinning up the first galaxies. It would have taken billions of years for primordial gas to coalesce into galaxies as large and bright as the Milky Way.

But in 2023, NASA’s James Webb Space Telescope (JWST) made a startling observation. With an ability to peer farther back in time than any observatory to date, the telescope uncovered a surprising number of bright galaxies as large as the modern Milky Way within the first 500 million years, when the universe was just 3 percent of its current age.

“The bright galaxies that JWST saw would be like seeing a clustering of lights around big cities, whereas theory predicts something like the light around more rural settings like Yellowstone National Park,” Shen says. “And we don’t expect that clustering of light so early on.”

For physicists, the observations imply that there is either something fundamentally wrong with the physics underlying the models or a missing ingredient in the early universe that scientists have not accounted for. The MIT team explored the possibility of the latter, and whether the missing ingredient might be early dark energy.

Physicists have proposed that early dark energy is a sort of antigravitational force that is turned on only at very early times. This force would counteract gravity’s inward pull and accelerate the early expansion of the universe, in a way that would resolve the mismatch in measurements. Early dark energy, therefore, is considered the most likely solution to the Hubble tension.

Galaxy skeleton

The MIT team explored whether early dark energy could also be the key to explaining the unexpected population of large, bright galaxies detected by JWST. In their new study, the physicists considered how early dark energy might affect the early structure of the universe that gave rise to the first galaxies. They focused on the formation of dark matter halos — regions of space where gravity happens to be stronger, and where matter begins to accumulate.

“We believe that dark matter halos are the invisible skeleton of the universe,” Shen explains. “Dark matter structures form first, and then galaxies form within these structures. So, we expect the number of bright galaxies should be proportional to the number of big dark matter halos.”

The team developed an empirical framework for early galaxy formation, which predicts the number, luminosity, and size of galaxies that should form in the early universe, given some measures of “cosmological parameters.” Cosmological parameters are the basic ingredients, or mathematical terms, that describe the evolution of the universe.

Physicists have determined that there are at least six main cosmological parameters, one of which is the Hubble constant — a term that describes the universe’s rate of expansion. Other parameters describe density fluctuations in the primordial soup, immediately after the Big Bang, from which dark matter halos eventually form.

The MIT team reasoned that if early dark energy affects the universe’s early expansion rate, in a way that resolves the Hubble tension, then it could affect the balance of the other cosmological parameters, in a way that might increase the number of bright galaxies that appear at early times. To test their theory, they incorporated a model of early dark energy (the same one that happens to resolve the Hubble tension) into an empirical galaxy formation framework to see how the earliest dark matter structures evolve and give rise to the first galaxies.

“What we show is, the skeletal structure of the early universe is altered in a subtle way where the amplitude of fluctuations goes up, and you get bigger halos, and brighter galaxies that are in place at earlier times, more so than in our more vanilla models,” Naidu says. “It means things were more abundant, and more clustered in the early universe.”

“A priori, I would not have expected the abundance of JWST’s early bright galaxies to have anything to do with early dark energy, but their observation that EDE pushes cosmological parameters in a direction that boosts the early-galaxy abundance is interesting,” says Marc Kamionkowski, professor of theoretical physics at Johns Hopkins University, who was not involved with the study. “I think more work will need to be done to establish a link between early galaxies and EDE, but regardless of how things turn out, it’s a clever — and hopefully ultimately fruitful — thing to try.”

We demonstrated the potential of early dark energy as a unified solution to the two major issues faced by cosmology. This might be an evidence for its existence if the observational findings of JWST get further consolidated,” Vogelsberger concludes. “In the future, we can incorporate this into large cosmological simulations to see what detailed predictions we get.”

This research was supported, in part, by NASA and the National Science Foundation.



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Plant-derived secondary organic aerosols can act as mediators of plant-plant interactions

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Experimental drug shows potential against Alzheimer’s disease: Removing ‘garbage’ from brain cells improves memory in mice


A new study published in Science reveals that plant-derived secondary organic aerosols (SOAs) can act as mediators of plant-plant interactions. This research was conducted through the cooperation of chemical ecologists, plant ecophysiologists and atmospheric physicists at the University of Eastern Finland.

It is well known that plants release volatile organic compounds (VOCs) into the atmosphere when damaged by herbivores. These VOCs play a crucial role in plant-plant interactions, whereby undamaged plants may detect warning signals from their damaged neighbours and prepare their defences. “Reactive plant VOCs undergo oxidative chemical reactions, resulting in the formation of secondary organic aerosols (SOAs). We wondered whether the ecological functions mediated by VOCs persist after they are oxidated to form SOAs,” said Dr. Hao Yu, formerly a PhD student at UEF, but now at the University of Bern.

The study showed that Scots pine seedlings, when damaged by large pine weevils, release VOCs that activate defences in nearby plants of the same species. Interestingly, the biological activity persisted after VOCs were oxidized to form SOAs. The results indicated that the elemental composition and quantity of SOAs likely determines their biological functions.

“A key novelty of the study is the finding that plants adopt subtly different defence strategies when receiving signals as VOCs or as SOAs, yet they exhibit similar degrees of resistance to herbivore feeding,” said Professor James Blande, head of the Environmental Ecology Research Group. This observation opens up the possibility that plants have sophisticated sensing systems that enable them to tailor their defences to information derived from different types of chemical cue.

“Considering the formation rate of SOAs from their precursor VOCs, their longer lifetime compared to VOCs, and the atmospheric air mass transport, we expect that the ecologically effective distance for interactions mediated by SOAs is longer than that for plant interactions mediated by VOCs,” said Professor Annele Virtanen, head of the Aerosol Physics Research Group. This could be interpreted as plants being able to detect cues representing close versus distant threats from herbivores.

The study is expected to open up a whole new complex research area to environmental ecologists and their collaborators, which could lead to new insights on the chemical cues structuring interactions between plants.



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Folded or cut, this lithium-sulfur battery keeps going

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Experimental drug shows potential against Alzheimer’s disease: Removing ‘garbage’ from brain cells improves memory in mice


Most rechargeable batteries that power portable devices, such as toys, handheld vacuums and e-bikes, use lithium-ion technology. But these batteries can have short lifetimes and may catch fire when damaged. To address stability and safety issues, researchers reporting in ACS Energy Letters have designed a lithium-sulfur (Li-S) battery that features an improved iron sulfide cathode. One prototype remains highly stable over 300 charge-discharge cycles, and another provides power even after being folded or cut.

Sulfur has been suggested as a material for lithium-ion batteries because of its low cost and potential to hold more energy than lithium-metal oxides and other materials used in traditional ion-based versions. To make Li-S batteries stable at high temperatures, researchers have previously proposed using a carbonate-based electrolyte to separate the two electrodes (an iron sulfide cathode and a lithium metal-containing anode). However, as the sulfide in the cathode dissolves into the electrolyte, it forms an impenetrable precipitate, causing the cell to quickly lose capacity. Liping Wang and colleagues wondered if they could add a layer between the cathode and electrolyte to reduce this corrosion without reducing functionality and rechargeability.

The team coated iron sulfide cathodes in different polymers and found in initial electrochemical performance tests that polyacrylic acid (PAA) performed best, retaining the electrode’s discharge capacity after 300 charge-discharge cycles. Next, the researchers incorporated a PAA-coated iron sulfide cathode into a prototype battery design, which also included a carbonate-based electrolyte, a lithium metal foil as an ion source, and a graphite-based anode. They produced and then tested both pouch cell and coin cell battery prototypes.

After more than 100 charge-discharge cycles, Wang and colleagues observed no substantial capacity decay in the pouch cell. Additional experiments showed that the pouch cell still worked after being folded and cut in half. The coin cell retained 72% of its capacity after 300 charge-discharge cycles. They next applied the polymer coating to cathodes made from other metals, creating lithium-molybdenum and lithium-vanadium batteries. These cells also had stable capacity over 300 charge-discharge cycles. Overall, the results indicate that coated cathodes could produce not only safer Li-S batteries with long lifespans, but also efficient batteries with other metal sulfides, according to Wang’s team.

The authors acknowledge funding from the National Natural Science Foundation of China; the Natural Science Foundation of Sichuan, China; and the Beijing National Laboratory for Condensed Matter Physics.



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