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Medicine

Study finds clues to lipid metabolism's hidden code

Researchers identify 43 genes that may influence key lipids linked to various diseases.

Illustration: Blue Dot News

1 min read

For centuries, we've been told that our health is largely determined by what we eat. But the truth is more complex – it's not just about calories or nutrients; it's also about the tiny building blocks of our bodies, like lipids.

Lipids are an essential part of who we are, and their dysregulation can contribute to a wide range of diseases. Yet, despite what scientists thought they knew, many parts of the lipidome – the collection of all lipids in our body – remained shrouded in mystery. That's why researchers embarked on a massive genome-wide association study to unravel the secrets of our bodies' lipid composition.

Through this exhaustive investigation, led by Dr. Landstra and her team, they identified 136 novel genetic loci associated with specific lipids. This breakthrough not only sheds new light on how our genes shape our lipid profiles but also opens doors to risk stratification and the discovery of potential therapeutic targets for diseases like diabetes, cardiovascular disease, and even neurological disorders.

The people behind the work

  • Landstra EN et al.

    Author

    Published in Nature communications

Source: Nature communications

Sources & Verification

Every statement in this story is drawn from the facts below. Each is linked to a primary or reputable source — follow any citation to check it for yourself.

  1. The human lipidome comprises numerous complex lipids, dysregulation of which can contribute to the pathogenesis of a wide range of diseases. Nature communications
  2. Despite the high heritability of parts of the lipidome, the genetic architecture of many circulating lipid species and their structure remains mostly unknown. Nature communications
  3. Thus, we perform genome-wide association studies on 970 lipid species and 267 fatty acid composite measures using samples from the population-based Rhineland Study (n = 6096). Nature communications
  4. We validate our findings using corresponding data from two other independent cohorts, including FinnGen (n = 7266) and EPIC-Potsdam (n = 1188). Nature communications
  5. Out of 217 lead genomic loci, we find 136 to be novel, such as FDFT1. Nature communications
  6. Using mendelian randomization and individual-level gene expression data, we identify 43 possible causal associations between candidate genes and corresponding lipid species, including FDFT1 - diacylglycerol (16:0/18:0). Nature communications
  7. Our findings provide new insights into the intricate genetic underpinnings of lipid metabolism, which may facilitate risk stratification and discovery of new therapeutic targets. Nature communications

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