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Researchers identify promising protein candidate for metabolic disease treatment

Researchers identify promising protein candidate for metabolic disease treatment
HepG2/C3A cells express NUCB1/NLP and NUCB2/NESF-1. Credit: Communications Biology (2024). DOI: 10.1038/s42003-024-06314-2

University of Saskatchewan (USask) research, which has been published in Communications Biology, highlights the discovery of the lipid-lowering effects of nesfatin-1-like peptide (NLP). This newly identified peptide—or small protein—is a close relative of nesfatin-1 (NESF-1), which regulates feed intake and body weight.

"We found that both NESF-1 and NLP lower lipid (fat) accumulation in ," said research team member Dr. Suraj Unniappan (Ph.D.), the university's Centennial Enhancement Chair in Comparative Endocrinology and a professor at the Western College of Veterinary Medicine (WCVM). The collaborative study involved researchers at the WCVM and USask College of Medicine.

While the lipid-lowering effect of nesfatin-1 was previously reported, Unniappan said identifying NLP and understanding its lipid-lowering capabilities in human cells represent new advancements in the field of endocrinology.

"We are far away from bringing these findings to bedside," said Unniappan. "But we now have additional multiple targets available that could be explored for lipid disease treatment and therapeutic advancements."

The research team's discovery is hopeful news since there's a lack of new therapies for many —including (recently renamed as metabolic dysfunction-associated steatotic liver disease or MAFLD), which affects about 20% of Canadians. A hormone-based drug was approved in the United States in March 2024, but so far, there are no drugs currently available in Canada exclusively for treating this disease.

Typical treatment plans for both humans and animals suffering from metabolic disease generally consist of diet and exercise changes to gradually lower and reduce fat accumulation.

Unniappan and his research team have been at the forefront of nesfatin-1 research. Discovered in 2006 by a group of researchers in Japan, nesfatin-1 was initially recognized for its ability to suppress food intake.

The USask team went a step further than previous studies and successfully verified that genetic disruption of NLP leads to changes in genes involved in in mice.

"We found that if you disrupt the gene that is the source of that protein [NLP] naturally present in these animals, then that actually leads to changes in lipid metabolism-associated genes," said Unniappan.

Discovering such results—that administering NLP reduces lipid levels, while disrupting its production alters lipid metabolism—reinforces its pivotal role in metabolic regulation.

Unniappan and Dr. Atefeh Nasri (Ph.D.), who completed her at USask in 2023 and is now a post-doctoral fellow at Dalhousie University, collaborated with Dr. Scott Widenmaier (Ph.D.), an assistant professor of anatomy, physiology and pharmacology, and an expert in metabolic at the USask College of Medicine. The team's fourth member was undergraduate student Mateh Kowaluk.

Unniappan hopes that this new research can pave the way for further exploration of treatment options. He plans to work with collaborators to extend this research to more complex animal models—including rodents—and eventually study larger animals such as cats and dogs. Like humans, these species also suffer from obesity and related metabolic disorders.

"It's beautiful to know the same peptide can achieve so many meritorious health effects, that in combination have the potential to help both human and animal patients," said Unniappan.

More information: Atefeh Nasri et al, Nesfatin-1 and nesfatin-1-like peptide attenuate hepatocyte lipid accumulation and nucleobindin-1 disruption modulates lipid metabolic pathways, Communications Biology (2024). DOI: 10.1038/s42003-024-06314-2

Journal information: Communications Biology
Citation: Researchers identify promising protein candidate for metabolic disease treatment (2024, May 28) retrieved 20 June 2024 from
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