Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: biotech/medical – Page 3

Primary sclerosing cholangitis

Primary sclerosing cholangitis is a rare, chronic cholestatic liver disease characterised by biliary inflammation and fibrosis. Inflammatory bowel disease co-occurs in 50–80% of individuals with primary sclerosing cholangitis and there is an increased risk for hepatobiliary and colorectal cancers. Primary sclerosing cholangitis presentation is highly variable but there is usually a slowly progressive fibrosis of the bile ducts with strictures, development of liver fibrosis and cirrhosis, and eventually a need for liver transplantation, after which primary sclerosing cholangitis can reoccur.

How Automation and AI Are Transforming Organoid Research

The life sciences are in the midst of a crucial shift, driven by the emergence of organoid-based models and the power of automation. Organoids—three-dimensional cell cultures that mimic human tissue architecture and function—are enabling researchers to ask and answer questions that were once beyond reach. Paired with advances in automation, robotics, and artificial intelligence (AI), these models are transforming drug discovery and preclinical testing, offering a more human-relevant alternative to outdated 2D cell cultures and animal models. This revolution is reshaping the pharmaceutical industry, while also holding the potential to accelerate progress in personalized medicine.

Beyond 2D: The Rise of Organoids

For decades, preclinical research has relied on 2D cell cultures, single-cell-type 3D spheroid models, and animal models, despite their limitations in replicating human biology. Organoids, which are derived from stem cells, offer a more accurate representation of human tissues, recapitulating complex biological processes such as organ-specific functionality and cellular interactions. These miniature self-organizing biological systems are being used to model diseases, test drug efficacy and toxicity, and even explore regenerative medicine.

Single mathematical model helps solve a decades-old puzzle involving ultrafast lasers

A team of international researchers, including an Aston University researcher, has cracked the code on how “breather” laser pulses work, creating a single mathematical model that explains two completely different laser behaviors for the first time. Ultrafast lasers emit extremely short pulses of light, lasting only picoseconds or femtoseconds, making them essential for applications ranging from eye surgery and biomedical imaging to precision materials processing and advanced manufacturing.

The work is published in the journal Physical Review Letters. By understanding laser behaviors better, scientists will be able to control them, making lasers more reliable and better suited to specific applications.

An ultrafast laser produces pulses of light that circulate within the laser cavity, where they can evolve into stable structures called solitons. Solitons tend to maintain their shape as they travel, unlike conventional light pulses which spread out. Usually, these solitons are identical and regular, like a heartbeat, known as steady-state emission. In a “breather” laser, the solitons change over time and successive cavity round trips, growing and shrinking before repeating the cycle, like a breathing pattern. This is an example of a non-equilibrium state, where the laser output does not remain constant but keeps evolving over time.

Each protein in the epigenome produces a different pattern of gene expression, study finds

A new study finds the proteins responsible for controlling which genes are expressed in a genome do more than simply turn a gene on or off. Essentially, each type of protein that interacts with a gene produces different behaviors—a finding with ramifications for everything from biomedical therapeutics to biological computing. A paper on the study, “Epigenome Regulators Imbue a Single Eukaryotic Promoter with Diverse Gene Expression Dynamics,” is published in the journal iScience.

At issue are “epigenome regulators.” Every organism’s genome is made up of DNA. But that DNA is bound up with many different proteins into very compact structures. The proteins that are bound to the DNA are called the epigenome, and they control which parts of the DNA get expressed. Your blood cells, nerve cells, and skin cells all have the same DNA, but perform very different functions. That’s because different parts of the DNA sequence are being expressed in each cell—and that is largely controlled by which proteins are bound to different parts of the DNA in each cell.

“We already knew that the proteins in the epigenome control the way DNA is expressed,” says Albert Keung, corresponding author of the study and an associate professor of chemical and biomolecular engineering at North Carolina State University. “Our goal here was to look at a single gene and quantify the full range of ways that the gene could be expressed by different proteins.” Keung is the Goodnight Distinguished Scholar in Innovation in Biotechnology and Biomolecular Engineering and director of biotechnology programs in NC State’s Integrative Sciences Initiative.

AI model ‘reads’ protein pairs, unlocking new insights into disease and drug discovery

Researchers have developed a new artificial intelligence (AI) model that can more accurately predict how proteins interact with one another—an advancement that could accelerate drug discovery and deepen insights into diseases such as cancer.

Led by Professor Zhang Yang, Senior Principal Investigator from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore, and published in Nature Communications, the study introduces a paired protein language model (PPLM) that learns from two interacting proteins simultaneously, rather than analyzing them in isolation. This marks a significant shift in how AI is applied to biology, enabling more accurate prediction of protein–protein interactions that underpin nearly all cellular processes.

Mini brain-like structures grown in lab may help scientists treat, diagnose and stage Alzheimer’s disease

Scientists from Johns Hopkins Medicine report new evidence that clusters of brain tissue derived from the cells of patients with Alzheimer’s disease may be used to evaluate how certain patients with the neurodegenerative condition may respond to drugs commonly prescribed to treat psychiatric symptoms of the disorder. The findings, based on a study of lab-grown brain tissues known as organoids, contribute to a growing body of evidence that brain organoids may also one day be used to more precisely develop and prescribe treatments for subgroups of patients with Alzheimer’s disease, which is the most common form of dementia, and affects more than seven million Americans.

In addition, the researchers found that tiny particles, known as extracellular vesicles, which are secreted by organoids, may contain cellular information that could help scientists find new biomarkers to diagnose and stage Alzheimer’s disease. A report of the findings is published in Alzheimer’s & Dementia.

“Our study suggests that large-scale, patient-derived brain organoids and the vesicles they secrete can help us stage Alzheimer’s disease, investigate the mechanisms that drive it and assess how patient subgroups may respond to different treatments,” says study leader Vasiliki Machairaki, Ph.D., associate professor of genetic medicine at the Johns Hopkins University School of Medicine.

Ancient DNA reveals pervasive directional selection across West Eurasia

The researchers found that natural selection has played a much larger role in determining which traits survived or declined since the Ice Age, identifying 479 genetic variations that were greatly impacted — many more than the 20 previous instances of directional selection.

Analysis of 15,836 ancient West Eurasian genomes reveals hundreds of instances of directional selection, showing that sustained changes in allele frequency were widespread, rather than being rare over this period as previously assumed.

Scientists stunned as bacteria rewire DNA machinery to shape cells

Cyanobacteria—ancient microbes that oxygenated Earth and made complex life possible—are still revealing surprises billions of years later. Scientists have now discovered that a molecular system once used to separate DNA has been repurposed into something entirely different: a structure that shapes the cell itself.

/* */