Christian Herder

Jan 10, 2025 | nature.com | Christian Herder |Michael Roden

AbstractInflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel of biomarkers of inflammation with depressive symptoms and its symptom clusters between people with type 1 diabetes (T1D) and type 2 diabetes (T2D).

Mar 12, 2024 | nature.com | Christian Herder |Michael Roden

In a recent study published in Nature, Nobs and colleagues aimed to identify novel mechanisms that may explain why diabetes is associated with an increased susceptibility to viral respiratory infections.

Oct 13, 2023 | academic.oup.com | Partner Düsseldorf |Humboldt-Universität zu Berlin |Christian Herder

Low skeletal muscle mass (SMM) is associated with long-standing diabetes but little is known about SMM in newly diagnosed diabetes. We aimed to identify correlates of SMM in recent-onset diabetes and to compare SMM between novel diabetes subtypes. SMM was normalised to BMI (SMM/BMI) in 842 participants with known diabetes duration of <1 year from the German Diabetes Study (GDS).

Sep 7, 2023 | nature.com | Niclas Eriksson |Erin Macdonald-Dunlop |Stefan Enroth |Domenico Cozzetto |Lasse Folkersen |Christian Herder | +16 more

Correction to: Nature Immunology https://doi.org/10.1038/s41590-023-01588-w, published online 10 August 2023. In the version of the article originally published, the middle panel in Fig. 3b was mistakenly a duplicate of the upper panel. The figure has now been corrected in the HTML and PDF versions of the article.

Aug 10, 2023 | nature.com | Niclas Eriksson |Erin Macdonald-Dunlop |Stefan Enroth |Domenico Cozzetto |Lasse Folkersen |Christian Herder | +16 more

AbstractCirculating proteins have important functions in inflammation and a broad range of diseases. To identify genetic influences on inflammation-related proteins, we conducted a genome-wide protein quantitative trait locus (pQTL) study of 91 plasma proteins measured using the Olink Target platform in 14,824 participants. We identified 180 pQTLs (59 cis, 121 trans).