Author: admin

A team of Canadian scientists has discovered a surprising new way to improve blood sugar levels and reduce liver damage: by trapping a little-known fuel made by gut bacteria before they wreak havoc on the body.

The findings, published in Cell Metabolism on July 29, 2025, could open the door to new therapies to treat metabolic diseases like type 2 diabetes and fatty liver disease.

Researchers at McMaster University, Université Laval and the University of Ottawa showed that a molecule produced by microbes in the gut can sneak into the bloodstream and fuel the liver to make more glucose and fat than necessary. But when researchers developed a way to trap this molecule in the gut before it enters the body, they saw dramatic improvements in blood sugar control and fatty liver disease in mice with obesity.

This is a new twist on a classic metabolic pathway. We’ve known for nearly a century that muscles and the liver exchange lactate and glucose – a process called the Cori cycle. What we’ve discovered is a new branch of that cycle, where gut bacteria are also part of the conversation.”

Jonathan Schertzer, senior and corresponding author and professor, Department of Biochemistry and Biomedical Sciences at McMaster

In 1947, married scientists Carl Ferdinand Cori and Gerty Theresa Cori were awarded the Nobel Prize in Physiology or Medicine for their work showing how muscles in the body generate lactate that fuels the liver to produce blood glucose, which then cycles back to fuel the muscle. The work laid the foundation to explain how muscles use a form of lactate (L-lactate), and the liver uses blood glucose, to communicate and exchange fuel with each other.

The Canadian team found that obese mice – and even people with obesity – have higher levels of a lesser-known molecule, D-lactate, in their blood. Unlike the more familiar L-lactate made by muscles, most of the D-lactate comes from gut microbes and was shown to raise blood sugar and liver fat more aggressively.

To stop this, the researchers created a “gut substrate trap” – a safe, biodegradable polymer that binds to D-lactate in the gut and prevents it from being absorbed. Mice fed this trap had lower blood glucose, less insulin resistance, and reduced liver inflammation and fibrosis – all without changing their diet or body weight.

“This is a completely new way to think about treating metabolic diseases like type 2 diabetes and fatty liver disease. Instead of targeting hormones or the liver directly, we’re intercepting a microbial fuel source before it can do harm,” says Schertzer, a member of the Centre for Metabolism, Obesity, and Diabetes Research (MODR) and Farncombe Family Digestive Health Research Institute at McMaster. Schertzer holds a Canada Research Chair in Metabolic Inflammation.

The research, funded by the Canadian Institutes of Health Research (CIHR), highlights the growing importance of the microbiome in chronic diseases.

Thank you. Listen to this article using the player above. ✖

Multidrug-resistant bacteria kill five million people each year, with newly resistant germs emerging faster than scientists can develop treatments.

Now, researchers have developed a platform that identifies drug resistance genes already circulating in the environment before they emerge in the clinic and directly couples this information to the design of resistance-evasive antibiotics. The findings, published in PNAS, use metagenomic surveys of the so-called “resistome” as an early warning system that can alert scientists to resistance likely to become a problem in the future. With this information, antibiotics in development can be proactively optimized to make them more resilient against our microbial foes.

“We’re predicting the types of resistance likely to be a problem in the future,” says lead author James Peek, a research associate in the laboratory of Sean F. Brady at The Rockefeller University. “We hope that our platform will help give antibiotics longer clinical lifespans.”

Untapped potential

Antibiotic development is often an endless cycle of finding new compounds to replace those that have become ineffective. Although scientists try to optimize drugs against resistances predicted in the lab—and resistant strains that crop up in the clinic—the current system has proven ill-equipped to accurately anticipate novel threats.

Brady’s Laboratory of Genetically Encoded Small Molecules at Rockefeller suspected that there was a better way forward. They knew that bacteria in nature have spent millennia battling one another with antibiotics and resistance genes, forming a vast reservoir of resistance mechanisms in the environment, which we now know includes many of the same mechanisms that appeared in clinics. For instance, the very same types of resistance genes that dealt a major blow to antibiotic classes such as beta-lactams circulated in populations of soil bacteria long before these drugs entered clinical use.

“There’s now strong evidence that clinical resistance can originate among bacteria fighting in the environment,” Peek says. Tomorrow’s resistance mechanisms may already be present in today’s soil samples. The challenge was finding a way to access that information and use it to improve human health.

Mining the data

For the study, the team focused on albicidin, a promising antibiotic candidate. With 3.5 terabase pairs of microbial DNA extracted from soil—roughly 700,000 bacterial genomes—they built a metagenomic library and introduced it into E. coli, a model bacterial host that could be easily screened to identify albicidin resistance genes. Bacteria that survived albicidin exposure were isolated, and their resistance genes were sequenced. The screen revealed eight classes of resistance genes, which were further analyzed to identify how each disables the drug. “We found a lot of interesting, unusual mechanisms,” Peek says.

“We were surprised by how well this model lent itself to finding unknown types of resistance.”

To figure out how to evade these resistance mechanisms, the researchers looked at natural structural variants of albicidin with the rationale that these variants may have evolved in the battle between soil microbes to circumvent resistance. Each variant tested had a unique vulnerability profile against the different types of resistance, which revealed chemical features that helped some variants remain effective. With this information, they began prioritizing promising drug leads. One variant (congener 10), with several structural differences compared to albicidin, was particularly promising as it continued to function in the face of the most common resistance types.

Ultimately, the team demonstrated that their method could guide drug design by engineering new versions of albicidin that combined the most protective features into compounds that remained potent in the face of even the most formidable resistance proteins.

Brady, Peek, and colleagues hope that pharmaceutical companies will adopt their technique to test a candidate drug’s susceptibility to pre-existing forms of resistance in the environment as they decide whether to move forward with development. “It’s fast and efficient,” Peek says. “We think it would be easy for drug companies to integrate this method into the standard drug development pipeline.”

In the short term, the team plans to apply their screening platform to other antibiotics developed in the Brady lab. By identifying and addressing environmental vulnerabilities early on, they hope to generate candidates with longer clinical lifespans and fewer chances of being undermined by resistance.

“James has developed a remarkably simple and broadly applicable approach that can be readily integrated into antibiotic discovery pipelines,” Brady says. “It holds real promise for increasing the likelihood that new antibiotics will avoid rapid resistance upon entering the clinic. I really hope others will recognize its value and integrate it as a standard component in their antibiotic development efforts.”

Reference: Peek J, Bhattacharjee A, Burian J, et al. Environmental resistome–guided development of resistance-tolerant antibiotics. PNAS. 2025;122(21):e2504781122. doi: 10.1073/pnas.2504781122

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source. Our press release publishing policy can be accessed here.