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Monday, April 06, 2026

Sunday, March 08, 2026

 

Experts uncover why cats are prone to kidney disease




University of Nottingham





Researchers from the University of Nottingham have uncovered a surprising biological quirk in domestic cats that may help explain why they are so prone to chronic kidney disease.

Unlike dogs and most other mammals, cats appear to accumulate unusual fats inside the cells of their kidneys, sometimes from a very young age.

This new study, published in Frontiers of Veterinary Science, and led by Professor David Gardner and Dr Rebecca Brociek from the School of Veterinary Medicine and Science at the University, shows they are anything but ordinary.

Using advanced chemical analyses, the team discovered that cats accumulate a rare group of modified triglycerides (the most common type of fat in the body, essential for storing excess energy from food), some with unusual chemical bonds or branched structures, that are very rarely observed in other mammals.

Many of these fats have special ether‑linkages that behave differently from typical dietary fats. Dogs did not show this pattern at all, and the feral Scottish Wildcats showed it only occasionally. 

Dr Brociek said: “Why these types of unusual fats accumulate in domestic cat kidneys, even from an early age, may offer an important clue as to why domestic cats are particularly prone to chronic kidney disease, one of the most common and serious illnesses affecting older cats.”

The researchers propose that this distinctive lipid buildup inside kidney cells could be an early sign of long‑term stress within the kidney, potentially contributing to tissue damage over time.

Professor Gardner says: "We are hopeful that soon we will understand why these unusual fats accumulate in domestic cats - we just have to collect the evidence to find the proof. If true, we believe we could develop a supplement or modified diet to help prevent these unusual lipid structures from accumulating, ultimately benefitting the long-term health of our companion animals.”

The discovery opens a new area of investigation into feline biology, suggesting that cats’ unique metabolism may predispose them to kidney problems. It could eventually lead to better diagnostic tools, improved diets, and new treatments for protecting cats’ kidney health.

The full study can be found here.

 

Breaking down the battery problem



A researcher at the Cockrell School of Engineering is continuing a legacy of battery science that began right here at The University of Texas at Austin.




University of Texas at Austin

Battery 1 

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Credit: The University of Texas at Austin




Consider the humble rechargeable battery: Many people start their day by unplugging their phone from a charger to check the weather or commute to work, or throw on their favorite podcast. They’ll end the day by plugging in their phone to charge again overnight.

This cycle represents decades of battery research pioneered right here at The University of Texas at Austin. Without the small, energy-dense, and safe lithium-ion battery, our morning routine would be very different.

“Even if you come up with other battery technologies, lithium-ion batteries will still be there,” said Arumugam Manthiram, a professor in the Walker Department of Mechanical Engineering. He has been working on the chemistry that happens inside batteries at the Cockrell School since 1986. “It might be replaced … but that will be a slow [process] if it is ever going to happen.”

His latest research, published in Nature Energy, explores a framework that could be used to advance a crucial part of lithium-ion batteries. Roughly 75% of the cost of lithium-ion batteries is the materials, and the majority of these batteries use expensive oxide cathodes. This is the problem Manthiram and his students are tackling: How do we begin to make these oxide cathodes more efficient?

Texas Engineers are already working on creating batteries made from more abundant—and more environmentally friendly—materials like sulfur or sodium, but this tech is still in the prototype stage. While this tech is promising, “it’s one thing to do something in the lab, and it’s another thing to make it, put it in your hand, and use it,” Manthiram said.

Why Fundamental Research

Lithium-ion batteries dominate the rechargeable market for their safety, power-to-weight ratio, and long cycle life, which means long-term reliability. The lithium-ion battery market was estimated to be worth $60 billion in 2024. That number is expected to triple in the next decade as demand for more efficient electric vehicles and energy storage rises.

Yet, sourcing the materials necessary for these batteries is becoming tougher, not easier, as supply chain disruptions from local conflict, politics, or environmental causes become more common.

A cathode, the positively charged electrode, is one of three essential components to a battery. It’s also the most expensive, usually making up half the total materials cost of a battery. The cathode is composed of nickel, but also lithium and cobalt, which are the mined minerals that are so vulnerable to supply-chain disruptions.

Understanding how these materials mix is crucial to meeting future market demand, keeping costs down, and maintaining safety.

“It involves a lot of fundamental knowledge. That’s where I come into the picture,” Manthiram said, “The cathode needs a lot of fundamental chemistry and physics knowledge to make it behave properly in engineering.”

Manthiram worked closely with Nobel Prize winner John Goodenough at Cockrell, who is credited with inventing cathode materials for lithium-ion batteries in the 1980s and which has revolutionized our morning routines.

Now, he’s working with his own “wonderful” students and postdocs to push the technology forward.

The Nature article breaks down the complexities of oxide cathodes and how machine-learning datasets can become valuable to speed up the development of future batteries.

Manthiram identifies three factors of the oxide cathode that control its behavior and properties: electronic configuration (or, how the electrons are arranged in the atoms of material), chemical bonding and chemical reactivity. Each of these individual parts of a cathode’s equation affects the battery’s performance.

Different chemical bonds can shift operating voltage and alter thermal stability and safety. Chemical reactivity can affect gas generation and cycling stability. Electronic configuration can determine which materials should or shouldn’t be grouped together. Even something as stable as iron can have adverse effects when paired with lithium in an oxide cathode.

That’s a lot of data to handle. Understanding the influence of these factors well would take years of research and significant resources, but the broader materials industry is already training machine learning algorithms to assist experimentalists in their work.

“You cannot depend only on machine learning or artificial intelligence. You also need human intervention. That means whatever comes out of that [research], we better understand what it is.”

Why AI Matters in the Frontier of Materials

There are already examples of AI being used to take advantage of huge datasets and predict promising leads for researchers. Google DeepMind’s GNoME project predicted 528 new compounds that could potentially be lithium-ion conductors. There is some discussion as to just how novel or useful of these compounds could be, but that’s where scientific expertise becomes paramount.

Manthiram’s group is using Texas Materials Institute’s facilities to conduct characterization experiments, which create complex datasets that AI trained by the group can then parse. After that, the experiments are done again, repeating the cycle of creating data to train a ML-model to predict materials to experiment on.

“We invent the materials; we invent the process in academic labs; and then [industry] has to scale up and implement it,” Manthiram said.

Pushing the technology forward, reducing the amount of cobalt used, overcoming the instability concerns of more nickel in the mix. These are all bite-sized solutions for a big challenge that affects everyone.

“I tell my students, we’re all learning. That’s the attitude I have.”

Manthiram hopes this article builds on an educational framework and pushes researchers towards a better understanding of cathodes, which in turn would speed up development while reducing safety problems.