iiinova — where your digital self keeps evolving

Reposted by Maik Pietzner

European Research Council (ERC) @erc.europa.eu · 04/03/2025

It was researchers, predominantly working in public sector universities & laboratories, who developed many of the ideas & techniques that are now being used on a massive scale by the big tech companies. Maria Leptin's (@marialep.bsky.social) speech @europarl.europa.eu erc.europa.eu/news-events/...

erc.europa.eu

ERC President’s speech to the European Parliament's ITRE Committee

ERC President Professor Maria Leptin' gave a speech as part of an exchange of views with the European Parliament's ITRE Committee, Brussels.

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Reposted by Maik Pietzner

Brent Richards @brent-richards.bsky.social · 26/01/2025

I see lots of patients with obesity who develop heart attacks. Often they have normal cholesterol, blood pressure and glucose levels are normal. So why do they get heart attacks? We identified endotrophin as a mechanism whereby obesity causes heart disease. 🧵 www.nature.com/articles/s41...

nature.com

Integrative proteogenomic analysis identifies COL6A3-derived endotrophin as a mediator of the effect of obesity on coronary artery disease - Nature Genetics

Two-step Mendelian randomization, combined with multiple layers of omics evidence, implicates COL6A3-derived endotrophin as a mediator of coronary artery disease risk in the context of obesity.

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Reposted by Maik Pietzner

Jochen Schwenk @jochwenk.bsky.social · 15/01/2025

Here's our latest work on proteome profiling of self-sampled dried blood spots to gain insights into the heterogeneity of the immune response against infections and vaccinations. We enrolled random citizens by postal mail to learn more about the molecular effects beyond those seeking medical care.

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

We finally bring it all together in a knowledge graph, to demonstrate which proteins are good indicators of drug treatment. Explore here omicscience.org/apps/prot_fo...

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

We bring this resources directly to your study via enrichment analysis, demonstrating hidden insights and residual confounding among published studies. github.com/comp-med/r-p...

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

We demonstrate how this knowledge can guide biomarker identification, reducing candidate lists by almost 40-fold. This included disease-specific findings like a >2.5-fold increased risk for abdominal aortic aneurysm associated with plasma levels of MMP12.

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

Not all people are the same, any many factors explaining variance differ across the sexes, but also genetically-inferred ancestry. Some genetic variants much more important in people of Non-European ancestry.

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

We demonstrate that some of the variation can be traced back to specific tissues and cell-types, including #Fibroblasts as so far under-appreciated contributing cell-type.

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Maik Pietzner @pietznerm.bsky.social · 13/01/2025

We identify different axes along proteins vary, incorporating >1.7k variables. We explain >25% of variation for >50% of proteins. Modifiable factors explained >> non-modifiable factors -> proteins are great as dynamic read out

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