Maik Pietzner's Avatar

Maik Pietzner

@pietznerm.bsky.social

Professor for Health Data Modelling @Charité and @PHURI | Making better medicines | Daddy of three | Views are my own

63 Followers  |  70 Following  |  8 Posts  |  Joined: 10.01.2025  |  1.8966

Latest posts by pietznerm.bsky.social on Bluesky

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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.

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/...

04.03.2025 12:09 — 👍 54    🔁 15    💬 1    📌 2
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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.

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...

26.01.2025 21:07 — 👍 14    🔁 3    💬 1    📌 0

Much appreciated, Vadim!

16.01.2025 10:59 — 👍 1    🔁 0    💬 0    📌 0

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.

15.01.2025 18:40 — 👍 12    🔁 7    💬 1    📌 1
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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...

13.01.2025 08:26 — 👍 2    🔁 0    💬 0    📌 0
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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...

13.01.2025 08:26 — 👍 2    🔁 0    💬 1    📌 0
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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.

13.01.2025 08:26 — 👍 1    🔁 0    💬 1    📌 0
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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.

13.01.2025 08:26 — 👍 1    🔁 0    💬 1    📌 0
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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.

13.01.2025 08:26 — 👍 1    🔁 0    💬 1    📌 0
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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

13.01.2025 08:26 — 👍 1    🔁 0    💬 1    📌 0
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Machine learning-guided deconvolution of plasma protein levels Proteomic techniques now measure thousands of circulating proteins at population scale, driving a surge in biomarker studies and biological clocks. However, their potential impact, generalisability, a...

⭐Preprint alert⭐

Blood #Proteomics can now measure 1000s of proteins, but what can they tell us?

We used #MachineLearning in @ukbiobank.bsky.social to derive the foundations of plasma levels >3k proteins among 40 people.

www.medrxiv.org/content/10.1...

13.01.2025 08:26 — 👍 8    🔁 2    💬 1    📌 2

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