Biology subjects

Boehme, J.

Publications and source records attributed to Boehme, J..

5 recordsLinked to original sources

bioRxiv2025

Pulmonary Vascular Endothelial Dysfunction is Induced by Non-Pulsatile Pulmonary Blood Flow in an Ovine Classic Glenn Model

Structured AbstractO_ST_ABSBackgroundC_ST_ABSPulmonary vascular disease (PVD) in patients with single ventricular heart disease following the partial cavalpulmonary connection (Glenn) is a significant source of morbidity. However, the etiology of pulmonary vascular endothelial cell (EC) dysfunction, an established precursor to PVD, is incompletely understood but may involve abnormal blood flow patterns, hypoxemia, and polycythemia. HypothesisUtilizing an ovine Glenn model, we hypothesized that non-pulsatile pulmonary blood flow (PBF) induces pulmonary vascular EC dysfunction, independent of hypoxemia or polycythemia. MethodsSeven lambs (6-8 weeks old) underwent a Glenn procedure. Eight weeks later, Glenn and age-matched controls were studied. The response to the endothelium-dependent vasodilator acetylcholine (Ach) was determined in isolated pulmonary arteries (PA). Nitric oxide (NO) and endothelin-1 (ET-1) signaling was determined in right lung tissues. Indices of cell proliferation, angiogenesis, and apoptosis were determined in PA endothelial cells (PAECs). Comparisons were made by unpaired t-test and ANOVA. ResultsThere were no differences in age, hemoglobin, or oxygen saturation between groups. Mean PA pressure and left PA flow were higher, and right lung blood flow was lower in Glenn lambs compared to controls (p<0.05). All other baseline hemodynamics were similar. Glenn PAs had impaired relaxation to Ach. Glenn lung NO metabolite levels (NOx) and eNOS protein were lower, and ET-1 levels and prepro-ET-1 protein were higher than controls (p<0.05). Glenn PAECs had higher rates of proliferation and angiogenesis, and decreased apoptosis (p < 0.05). ConclusionsThe initiation of non-pulsatile PBF following the Glenn induces early EC dysfunction independent of hypoxemia and polycythemia.

physiology↗

bioRxiv2024

Microvascular preservation and cardiomyocyte hyperplasia underlie adaptive right ventricular development in congenital heart disease-associated pulmonary arterial hypertension

AbstractO_ST_ABSBackgroundC_ST_ABSRight ventricular (RV) failure is the primary cause of death among patients with pulmonary arterial hypertension (PAH). Patients with congenital heart disease- associated PAH (CHD-PAH) demonstrate improved outcomes compared to patients with other forms of PAH, which is related to the maintenance of an adaptively hypertrophied RV. In an ovine model of CHD-PAH, we aimed to elucidate the cellular, microvascular, and transcriptional adaptations to congenital pressure overload that support RV function in CHD-PAH. MethodsFetal surgery was performed on late gestation lambs to insert a large aortopulmonary graft, leading to a persistent congenital left-right shunt and RV pressure load. At 3 days and 4-6 weeks of life, shunt RV microvasculature, cardiomyocyte structure, and myocardial growth mechanisms were compared to age-matched controls and unoperated fetal RV. RNA sequencing was performed to assess differences in the RV transcriptomes. ResultsAt 4-6 weeks of age, shunt lambs demonstrate significant RV enlargement (shunt 37.1 {+/-} 2.9g vs control 15.9 {+/-} 1.0g, p<0.001) but maintain stable microvascular density (fetal 3.0 {+/-} 0.6 vs shunt 2.9 {+/-} 0.3 vs control 3.1 {+/-} 0.6 capillaries per 1000 {micro}m3, p>0.05). Shunt RV cardiomyocytes are significantly smaller by cross-sectional area and more numerous than age-matched controls (shunt 73.3 {+/-} 5.5 {micro}m2 vs control 99.2 {+/-} 4.9 {micro}m2, p=0.013). At 3 days, shunt RV cardiomyocytes show evidence of increased proliferative capacity and ongoing hyperplasia compared to controls. RNA sequencing analyses reveal a distinct gene expression profile in shunt RV consistent with a delay in terminal differentiation and metabolic adaptations to support adaptive function. ConclusionsThis study provides novel insights into the development of adaptive RV hypertrophy in CHD-PAH, demonstrating roles for preserved microvascular density and increased postnatal cardiomyocyte hyperplasia in supporting RV performance. Future investigations into the mechanisms underlying these changes could have significant implications for the development of novel therapeutic strategies for supporting RV function.

physiology↗

bioRxiv2024

DEAD-box ATPase Dbp2 mediates mRNA release after 3'-end formation

mRNA biogenesis in the eukaryotic nucleus is a highly complex process. The numerous RNA processing steps are tightly coordinated to ensure that only fully processed transcripts are released from chromatin for export from the nucleus. Here, we present the hypothesis that fission yeast Dbp2, a ribonucleoprotein complex (RNP) remodelling ATPase of the DEAD-box family, is the key enzyme in an RNP assembly checkpoint at the 3-end of genes. We show that Dbp2 interacts with the cleavage and polyadenylation complex (CPAC) and localizes to cleavage bodies, which are enriched for 3-end processing factors and proteins involved in nuclear RNA surveillance. Upon loss of Dbp2, 3-processed, polyadenylated RNAs accumulate on chromatin and in cleavage bodies, and CPAC components are depleted from the soluble pool. Under these conditions, cells display an increased likelihood to skip polyadenylation sites and a delayed transcription termination, suggesting that levels of free CPAC components are insufficient to maintain normal levels of 3-end processing. Our data support a model in which Dbp2 is the active component of an mRNP remodelling checkpoint that licenses RNA export and is coupled to CPAC release.

molecular biology↗

bioRxiv2023

IL-33 controls IL-22-dependent antibacterial defense by modulating the microbiota

IL-22 plays a critical role in defending against mucosal infections, but how IL-22 production is regulated is incompletely understood. Here, we show that mice lacking IL-33 or its receptor ST2 (IL-1RL1) were more resistant to Streptococcus pneumoniae lung infection than wild-type animals, and that single nucleotide polymorphisms in IL33 and IL1RL1 were associated with pneumococcal pneumonia in humans. The effect of IL-33 on S. pneumoniae infection was mediated by negative regulation of IL-22 production in innate lymphoid cells (ILCs), but independent of ILC2s as well as IL-4 and IL-13 signaling. Moreover, IL-33s influence on antibacterial defense was dependent on housing conditions of the mice, and mediated by the modulatory effect of IL-33 on the microbiota. Collectively, we provide insight into the bidirectional crosstalk between the innate immune system and the microbiota. We identify a mechanism, dependent on both genetic and environmental factors, that impacts the efficacy of antibacterial immune defense and thus susceptibility to pneumonia. SIGNIFICANCE STATEMENTLower respiratory tract infections are the fifth leading cause of death. Here, we describe a mechanism influenced by genetic and environmental factors that affects the efficacy of pulmonary antibacterial immune responses. We show that IL-33 controls antibacterial defense by regulating the production of IL-22, a cytokine with known functions in antimicrobial immunity in lungs. The effect of IL-33 on IL-22-dependent defense was influenced by the hygienic status of the mice and mediated by IL-33s modulatory effect on the animal microbiota. In addition, genetic variation in genes involved in IL-33 signaling was associated with bacterial pneumonia in humans. Our findings may be important for our understanding of the factors influencing predisposition to lower respiratory tract infections.

immunology↗

bioRxiv2022

Tracking influenza a virus infection in the lung from hematological data with machine learning

The tracking of pathogen burden and host responses with minimal-invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory Influenza A virus (IAV) infection, we developed and tested different supervised machine learning models to predict viral burden and immune response markers, i.e. cytokines and leukocytes in the lung, from hematological data. We performed independently in vivo infection experiments to acquire extensive data for training and testing purposes of the models. We show here that lung viral load, neutrophil counts, cytokines like IFN-{gamma} and IL-6, and other lung infection markers can be predicted from hematological data. Furthermore, feature analysis of the models shows that blood granulocytes and platelets play a crucial role in prediction and are highly involved in the immune response against IAV. The proposed in silico tools pave the path towards improved tracking and monitoring of influenza infections and possibly other respiratory infections based on minimal-invasively obtained hematological parameters.

microbiology↗