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Scientists use ‘sleep age’ to infer longterm health

Numbers tell a story. From your credit score to your age, metrics predict a variety of outcomes, whether it’s your likelihood to get a loan or your risk for heart disease. Now, Stanford Medicine researchers have described another telling metric — one that can predict mortality. It’s called sleep age.

Sleep age is a projected age that correlates to one’s health based on their quality of sleep. So for instance, if you analyze the sleep characteristics of dozens of 55-year-olds and average them out, you’ll have an idea of what sleep looks like at that age. For instance, someone who’s 55 and sleeps soundly through the night with good quality REM cycles could, theoretically, might have a sleep age of 45.

New bioplastic doesn’t create cancer-causing microplastics

Some researchers and public health experts have also expressed concerns that microplastic exposure can lead to babies being born underweight.

Recent studies found that the average liter of store-bought bottled water contains more than 240,000 nanoplastics while the majority of meat and plant-based alternatives contain tiny plastics linked to cancer.

Scientists have cautioned that it will take time to transfer to creating the new material because existing manufacturing equipment was only built for traditional plastic.

Human Cell Atlas Transforms Understanding of Disease

Summary: The Human Cell Atlas (HCA) consortium has published over 40 studies revealing groundbreaking insights into human biology through large-scale mapping of cells. These studies cover diverse areas such as brain development, gut inflammation, and COVID-19 lung responses, while also showcasing the power of AI in understanding cellular mechanisms.

By profiling over 100 million cells from 10,000 individuals, HCA is building a “Google Maps” for cell biology to transform diagnostics, drug discovery, and regenerative medicine. The initiative emphasizes diversity, including underrepresented populations, to ensure a globally inclusive understanding of health and disease.

Nanorobots move closer to clinical trials with new model that helps them navigate through the bloodstream

From repairing deadly brain bleeds to tackling tumors with precise chemotherapy, micro/nano-robots (MNRs) are a promising, up-and-coming tool that have the power to substantially advance health care. However, this tool still has difficulty navigating within the human body—a limitation that has prevented it from entering clinical trials.

Mathematical models are crucial to the optimal design and navigation of MNRs, but the are inadequate. Now, new, promising research from the University of Saskatchewan (USask) may allow MNRs to overcome the limitations that previously prevented their widespread use.

USask College of Engineering professor Dr. Chris Zhang (Ph. D.) and two Ph.D. students (Lujia Ding, N.N Hu) along with two USask alumni (Dr. Bing Zhang (Ph. D.), Dr. R. Y. Yin (Ph. D.)) are the first team to develop a highly accurate mathematical model that optimizes the design of MNRs which improves their navigation, allowing them to travel efficiently through the bloodstream. Their work was recently published in Nature Communications.

Humans are walking ecosystems and microbes rule their evolution

We might like to think of ourselves as autonomous entities but, in reality, we’re more like walking ecosystems, teeming with bacteria, viruses, and other microbes. It turns out that differences in these microbes might be as crucial to evolution and natural variation as genetic mutations are.

This novel perspective was discussed in a recent publication by Seth Bordenstein, director of Penn State’s One Health Microbiome Center, who is a professor of biology and entomology and holds the Dorothy Foehr Huck and J. Lloyd Huck Endowed Chair in Microbiome Sciences.

He, along with 21 colleagues from around the globe, collectively known as the Holobiont Biology Network, propose that understanding the relationships between microbes and their hosts will lead to a more profound understanding of biological variation.

Fat cells have epigenetics-based memory: Researchers discover mechanism behind weight loss yo-yo effect

Can weight loss leave a lasting imprint on our fat cells?

Losing weight is often touted as a cornerstone of better health, particularly for people dealing with obesity and its associated health risks.


Anyone who has ever tried to get rid of a few extra kilos knows the frustration: the weight drops initially, only to be back within a matter of weeks—the yo-yo effect has struck. Researchers at ETH Zurich have now been able to show that this is all down to epigenetics.

Epigenetics is the part of genetics that’s based not on the sequence of genetic , but on small yet characteristic chemical markers on these building blocks. The sequence of building blocks has evolved over a long period of time; we all inherit them from our parents.

Epigenetic markers, on the other hand, are more dynamic: , our and the condition of our body—such as obesity—can change them over the course of a lifetime. But they can remain stable for many years, sometimes decades, and during this time, they play a key role in determining which genes are active in our cells and which are not.

Seatbelt-integrated biosensor could reliably track the alertness and stress of pilots and drivers

Over the past decades, electronics and biomedical engineers have developed increasingly sophisticated biosensors, devices that can pick up biological signals from human users. These sensors, which are generally embedded in wearable or implantable technologies, often do not perform as well in settings where users are moving a lot, such as within a vehicle.

Researchers at the National University of Singapore and Tsinghua University have recently developed a new sensor that can pick up and track biological signals, such as the heartbeat and respiration, without being in contact with the body of users. This sensor, presented in a paper published in Nature Electronics, could be used to pick up the cardiopulmonary signals of humans while they are in dynamic and closed environments, such as a plane cabin, a moving car or a bus.

“Monitoring drivers’ alertness or stress is essential for ,” Xi Tian, co-author of the paper, told Tech Xplore. “Existing designed to measure physiological markers of fatigue, such as heart rate and respiration, face challenges in moving vehicles due to the unpredictable vibrational noise. To overcome these challenges, our research focused on developing an automotive biosensor capable of non-contact and reliable health monitoring in dynamic environments.”

Researchers uncover new role of mutant proteins in some of the deadliest cancers

Researchers at the National Institutes of Health (NIH) and their collaborators have discovered a new way in which RAS genes, which are commonly mutated in cancer, may drive tumor growth beyond their well-known role in signaling at the cell surface.

Mutant RAS, they found, helps to kick off a series of events involving the transport of specific nuclear proteins that lead to uncontrolled , according to a study published November 11, 2024, in Nature Cancer.

RAS are the second most frequently mutated genes in cancer, and mutant RAS proteins are key drivers of some of the deadliest cancers, including nearly all , half of colorectal cancers, and one-third of lung cancers.