Omega-3 fatty acids are recognised as a vital component of a nutritious diet. Since humans are incapable of synthesising them, they must be ingested in adequate quantities. Nonetheless, omega-6, -7, -9, and -10 fatty acids are also crucial in lipid metabolism. These numbers denote the location of the initial double bond in a fatty acid chain.

Alterations in the omega position may indicate enzymatic dysfunctions or abnormal metabolic processes, including those associated with cancer. Researchers at the University of Graz and the University of California, San Diego have introduced an innovative and successful approach for determining omega locations of lipids—scientifically referred to as fats—in complicated biological samples, including human tissues and blood, as reported in Nature Communications.

In omega-3 lipids, the initial double bond is situated at the third carbon atom from the terminal end of the fatty acid chain, which is reflected in the nomenclature.

“Many enzymes in our bodies can utilize only fatty acids with specific double bond positions. Aberrant metabolic processes, such as those occurring in cancer, cardiovascular diseases, or autoimmune disorders, frequently entail alterations in omega positions of lipids,” Jürgen Hartler, leader of the Computational Pharmacology research group at the University of Graz, elucidates. Consequently, examining this structural characteristic is of significant importance.

“Among the enzymes that act specifically on fatty acids with certain double bond positions, phospholipases stand out for their key role in inflammation. This new method now enables the study of these biological mechanisms in unprecedented detail,” states Edward Dennis, Professor of Chemistry, Biochemistry, and Pharmacology at the University of California, San Diego.

A New Computer-Based Methodology

The identification of omega locations in intact lipids has proven difficult in complicated biological samples up to this point. Only a limited number of research groups globally possessed the necessary specialised analytical instruments, including Evelyn Rampler’s group at the University of Vienna.

Dennis Hartler and his teams, in conjunction with Rampler, are currently unveiling a novel computational method. “Our database in concert with the developed software LC=CL makes omega positions of lipids available in routine chromatography-coupled mass spectrometry methods,” Leonida Lamp, the primary author of the publication, encapsulates this invention.

This will provide researchers globally with access to essential information, thereby considerably advancing lipid research. Lamp adds: “Moreover, our method has proven to be far more sensitive than prior approaches, making omega position information accessible even for lipids in very low concentrations.” 

Gosia Murawska, co-first author of the publication, states an example, “A key enzyme among the phospholipases is cPLA2. It has been studied for decades. Now, LC=CL enabled us to prove that cPLA2 specifically converts mead acid, an omega-9 fatty acid. This demonstrates that our method is an essential milestone to advance precise therapeutic strategies, such as for inflammation-related diseases.”

Summary

• Omega-3, -6, -7, -9, and -10 fatty acids are vital for health, and their double bond positions influence metabolism and disease.
• Changes in omega positions can signal enzymatic issues linked to cancer, cardiovascular, or autoimmune disorders.
• Researchers from the University of Graz and UC San Diego developed a new computational method (LC=CL) to identify omega positions in complex samples.
• The method works with routine chromatography-mass spectrometry, is more sensitive than previous techniques, and detects even low-concentration lipids.

This breakthrough enables a detailed study of lipid-related biological processes and supports targeted therapies, especially for inflammation-related diseases.

Original Publication
Journal: Nature Communications
DOI: 10.1038/s41467-025-61911-x
Method of Research: Experimental study
Subject of Research: Cells
Article Title: Computationally unmasking each fatty acyl C=C position in complex lipids by routine LC-MS/MS lipidomics
Article Publication Date: 11-Aug-2025
COI Statement: The researchers declare no conflict of interest.

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