bioRxiv Science⌕ Search

Biology subjects

Spangenberg, P.

Publications and source records attributed to Spangenberg, P..

3 recordsLinked to original sources

Canonical and noncanonical contribution of thyroid hormone receptor isoforms alpha and beta to cardiac hypertrophy and heart rate in male mice

BackgroundStimulation of ventricular hypertrophy and heart rate are two major cardiac effects of thyroid hormone (TH). Aim of this study was to determine in vivo which TH receptor (TR), or {beta}, and which mode of TR action, canonical gene expression or DNA-binding independent noncanonical action, mediate these effects. Material and methodsWe compared global TR and TR{beta} knockout mice (TRKO; TR{beta}KO) with WT mice to determine the TR isoform responsible for T3 effects. The relevance of TR DNA- binding was studied in mice with a mutation in the DNA-binding domain that selectively abrogates DNA binding and canonical TR action (TRGS; TR{beta}GS). Hearts were studied with echocardiography at baseline and after seven weeks T3-treatment. Gene expression was measured with real-time PCR. Heart rate was recorded with radiotelemetry transmitters for seven weeks in untreated, hypothyroid and T3-treated mice. ResultsT3 induced ventricular hypertrophy in WT and TR{beta}KO mice, but not in TRKO mice. Hypertrophy was also induced in TRGS mice. Thus, hypertrophy is mostly mediated by noncanonical TR action. Similarly, repression of Mhy7 occurred in WT and TRGS mice. Basal heart rate was largely dependent on canonical TR action. But responsiveness to hypothyroidism and T3-treatment as well as expression of pacemaker gene Hcn2 were still preserved in TRKO mice, demonstrating that TR{beta} could compensate for absence of TR. ConclusionT3-induced cardiac hypertrophy could be attributed to noncanonical TR action, whereas heart rate regulation was mediated by canonical TR action. TR{beta} could substitute for canonical, but not noncanonical TR action.

physiology↗

Proteomic adaptations in the kidney reveal orchestration of local and secreted antimicrobial peptides in human pyelonephritis

Pyelonephritis (PN) is a frequent bacterial infection of the kidney and is often associated with severe diseases, organ loss and sepsis. Antibiotics are the cornerstone of therapy, however, increasing antibiotic resistance threatens therapy success and necessitates novel treatment strategies. Various proteins, such as antimicrobial peptides (AMPs), are key molecules of the innate immune response and insights into their regulation may help overcome multi-drug resistance and severe diseases. Using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS), several cellular, biological, and metabolic processes important for the antimicrobial response were identified, including a significant increase in previously undescribed proteins in human PN with antimicrobial function. Among others, we observed elevation of AMPs, such as calprotectin, azurocidin-1, and cathepsin G in the kidney, which we validated in the urine. Additionally, we observed a negative correlation of azurocidin-1 with plasma levels of C-reactive protein suggesting that the presence in the kidney may protect from severe diseases and systemic inflammation. This study represents the first renal proteomic dataset of human PN, enabling novel insights into the expression of AMPs in the context of PN. Lay SummaryGrowing antimicrobial resistance necessitates a better understanding of the expression of proteins that are critical for the immune response. Using mass spectrometry we identified AMPs in the kidney and urine of PN patients. Elevated levels of the AMP azurocidin-1 was associated with reduced systemic inflammation, indicated by lower C-reactive protein. Overall, this study identified expression of previously undescribed AMPs in the context of human PN. These proteins may play a pivotal role in protection from severe diseases and systemic inflammation.

immunology↗

Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs

Blood vasculature represents a complex network of vessels with varying lengths and diameters that are precisely organized in space to allow proper tissue function. Light-sheet fluorescence microscopy (LSFM) is very useful to generate tomograms of tissue vasculature with high spatial accuracy. Yet, quantitative LSFM analysis is still cumbersome and available methods are restricted to single organs and advanced computing hardware. Here, we introduce VesselExpress, an automated software that reliably analyzes six characteristic vascular network parameters including vessel diameter in LSFM data on average computing hardware. VesselExpress is ~100 times faster than other existing vessel analysis tools, requires no user interaction, integrates batch processing, and parallelization. Employing an innovative dual Frangi filter approach we show that obesity induces a large-scale modulation of brain vasculature in mice and that seven other major organs differ strongly in their 3D vascular makeup. Hence, VesselExpress transforms LSFM from an observational to an analytical working tool.

bioinformatics↗