Plate Nº 95 · recorded November 4, 2026

Health & Medicine ResearchReported finding

AI-Found Molecule Cut Food Intake by 50% in Animals

Stanford scientists used an AI algorithm to find BRP, a 12-amino-acid peptide that cut food intake up to 50% in mice and pigs and caused fat loss without muscle loss. Human trials haven't begun.

By James Calloway4 min read776 words

In brief

  1. BRP reduced food intake by up to 50% in mice and minipigs in a Stanford study published in Nature.
  2. Obese mice given daily BRP injections for 14 days lost an average of 3 grams; controls gained about 3 grams.
  3. The AI algorithm Peptide Predictor scanned roughly 20,000 human genes and narrowed candidates to 373 prohormones and 2,683 predicted peptides.
  4. BRP is 12 amino acids long and increased neuronal activity tenfold in lab tests, versus threefold for GLP-1.
  5. No human trials have taken place; Svensson cofounded Merrifield Therapeutics to develop the peptide.
AI helps Stanford scientists discover a “natural Ozempic” with a surprising advantage
Plate Nº 95AI helps Stanford scientists discover a “natural Ozempic” with a surprising advantage — PublicDomainPictures / pixabay

A naturally occurring molecule discovered with artificial intelligence reduced food intake by up to 50% in animals and produced fat loss with almost no muscle loss, Stanford Medicine scientists report. The peptide, called BRP, delivered these results in lean mice and minipigs, and obese mice injected daily for 14 days lost an average of 3 grams while untreated controls gained about 3 grams.

The study, published in Nature and led by senior research scientist Laetitia Coassolo, PhD, with assistant professor of pathology Katrin Svensson, PhD, as senior author, raises the prospect of an Ozempic-like treatment with fewer side effects. The researchers found no significant changes in movement, water consumption, anxiety-related behavior, or fecal output in treated animals — the last point matters, because constipation is a known side effect of semaglutide, the active ingredient in Ozempic.

Here's the catch, and it's a big one: nobody knows yet whether any of this holds up in humans.

How is BRP different from Ozempic?

Semaglutide imitates a hormone called GLP-1, which regulates blood sugar and signals fullness. But GLP-1 receptors sit in the gut, pancreas, and other tissues as well as the brain, which is why the drug slows digestion and lowers blood sugar alongside its appetite effects.

"The receptors targeted by semaglutide are found in the brain but also in the gut, pancreas and other tissues," Svensson said. "In contrast, BRP appears to act specifically in the hypothalamus, which controls appetite and metabolism."

The hypothalamus is a small region deep in the brain that regulates hunger, energy use, and body temperature. BRP activates different populations of brain cells than semaglutide does, and follow-up investigations showed it triggers distinct neuronal and metabolic pathways rather than simply copying GLP-1. That difference, the scientists believe, may explain the strong appetite suppression without the behavioral and digestive changes they were monitoring.

Treated animals also showed improved glucose and insulin tolerance — measures of how well the body handles sugar.

How did AI find it?

The body produces enormous numbers of small protein fragments, and only a rare few act as hormones. Many hormones start as large inactive proteins called prohormones, which enzymes slice into smaller peptides. A single prohormone can be cut in several places, producing many candidate fragments, most of them biological leftovers.

Traditional searches extract proteins from tissue and analyze them with mass spectrometry — a method that identifies molecules by their mass. Slow, laborious, and the odds are long.

The Stanford team built an algorithm called Peptide Predictor instead. It scanned the roughly 20,000 human protein-coding genes, looking for sequences where a specific enzyme — prohormone convertase 1/3, previously linked to human obesity — was likely to cut. The team filtered for proteins released outside cells, a hallmark of hormones, and required at least four cutting sites.

That left 373 prohormones. The algorithm predicted the enzyme could generate 2,683 distinct peptides from them.

"The algorithm was absolutely key to our findings," Svensson said.

A 12-amino-acid surprise

The researchers tested 100 peptides, including GLP-1, on lab-grown nerve cells. GLP-1 tripled neuronal activity compared with untreated controls. BRP — just 12 amino acids long, cut from a protein called BRINP2 — increased it tenfold.

Injected into muscle before feeding, it cut food intake by up to 50% over the following hour in mice and minipigs, which mirror human metabolism and eating patterns more closely than mice.

Notably, nearly all the weight the treated obese mice lost came from fat, not muscle. That matters, because muscle supports strength, mobility, and metabolic health — and muscle loss is a documented complaint with current weight-loss drugs. Nausea, another common GLP-1 drug side effect, can't be ruled in or out from animal work.

What does this change for patients?

Right now, nothing. BRP has never been tested in a person. The researchers still don't know which cell-surface receptors it binds, how long its effects last, or what dose might work. Peptides also break down quickly in the body, so a longer-lasting version may be needed to avoid frequent injections.

Svensson has cofounded Merrifield Therapeutics to push BRP toward clinical trials, and she and Coassolo hold patents on BRP peptides for metabolic disorders — a financial interest worth flagging. Collaborators included scientists from UC Berkeley, the University of Minnesota, and the University of British Columbia, with funding from the National Institutes of Health and several Stanford programs, among others.

"Nothing we've tested before has compared to semaglutide's ability to decrease appetite and body weight," Svensson said. "We are very eager to learn if it is safe and effective in humans."

via med.stanford.edu (Original)

Filed under

  • obesity
  • weight-loss
  • peptide-therapeutics
  • artificial-intelligence
  • glp-1
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James Calloway

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Staff writer covering regulation, policy and their impact on general science news at SciBeat.

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