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Fiehler, J.

Publications and source records attributed to Fiehler, J..

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Gαq/11 signaling counteracts endothelial dysfunction in the brain and protects cognition in aged mice

BackgroundCerebral small vessel disease (cSVD) is a major cause of stroke and dementia, and is associated with increased blood-brain barrier permeability, neuroinflammation, and endothelial dysfunction. Endothelial Gq/11 proteins are involved in vascular tone regulation and have been shown to affect capillary blood flow in the brain. Since factors downstream of activated Gq/11 proteins, such as endothelial NO synthase (eNOS) activity are discussed in cSVD, we wondered whether the brain endothelial Gq/11 signalling pathway might influence cSVD-related pathology. MethodsHere, we generated mice carrying a brain endothelial-specific deletion of the Gq/11 signalling and characterised these mice using different imaging and staining techniques, as well as behaviour tests measuring cognition in adult and aged mice. Immunoblots, electrophysiology, perfusion measurements, and in vitro experiments complemented those techniques. FindingsThe brain endothelial Gq/11 signalling pathway preserves normal vascular reactivity, and its loss resembles mild endothelial dysfunction in the brain. While the vessel structure was maintained in adult mice, a deletion of the Gq/11 signalling led to capillary rarefaction and blood-brain barrier disruption in aged mice. These effects were accompanied by disturbed VEGF signalling and an increase in senescence markers and oxidative stress in the vasculature, culminating in cognitive impairment with increased tau phosphorylation in the cortex and hippocampus, and decreased myelination in the white matter. InterpretationThese findings reflect the main hallmarks of cSVD and demonstrate a protective role of Gq/11 in endothelial cells in ageing. Furthermore, our results show that the combination of cerebral endothelial dysfunction and ageing accelerates cognitive impairment. FundingResearch was supported by grants from the European Research Council (2019-WATCH-810331 to R.N., V.P., and M.S.), the Deutsche Forschungsgemeinschaft (SCHW 416/12-1 to M.S.; WE 6456/1-1 to J.W.; GRK1957 to M.S., H.M.-F., and J.W.), the institutional priority program MI-VascAD of the University of Lubeck (to H.M.-F. and J.W.), and the Marie-Sklodowska-Curie European Unions Horizon 2020 research program (ENTRAIN-813294 to M.S. and J.W.). RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSCerebral small vessel disease (cSVD) is associated with advanced age, hypertension, and metabolic diseases. It is considered causal for a substantial part of stroke and dementia cases. Endothelial dysfunction is described as being present in all of the diseases mentioned, and it is discussed to play a role in the development of cSVD. However, most of the evidence is correlational rather than causal, and studies are usually carried out on subjects with an underlying disease for which endothelial dysfunction is a side effect. Added value of this studyHere, we describe a novel brain endothelial signalling pathway that protects against endothelial dysfunction and loss of cerebrovascular reactivity. Without Gq/11 signalling exclusively in the brain endothelium, mice show an impaired ability to increase brain perfusion in response to vasodilatory stimuli, such as neuronal activity. These mice, combined with an older age, develop vessel rarefaction and cognitive dysfunction, which can be explained by increased tau phosphorylation and white matter alteration. Implications of all the available evidenceThese findings, in the context of the existing studies, suggest that endothelial dysfunction per se is sufficient to induce cognitive impairment. They imply that the diagnoses and treatments for diseases associated with cognitive impairment should focus more on a dysfunctional endothelium. The Gq/11 signalling pathway offers a new approach to address treatment endeavours in cSVD and, more broadly, in all diseases associated with a higher risk of vascular dementia and stroke.

neuroscience↗

A Latent Clinical-anatomical Dimension Relating Metabolic Syndrome to Brain Morphology - Evidence from a Multivariate Imaging Analysis of 40,087 Individuals

The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.

neuroscience↗

Brain Network Architecture Constrains Age-related Cortical Thinning

Age-related cortical atrophy, approximated by cortical thickness measurements from magnetic resonance imaging, follows a characteristic pattern over the lifespan. Although its determinants remain unknown, mounting evidence demonstrates correspondence between the connectivity profiles of structural and functional brain networks and cortical atrophy in health and neurological disease. Here, we performed a cross-sectional multimodal neuroimaging analysis of 2633 individuals from a large population-based cohort to characterize the association between age-related differences in cortical thickness and functional as well as structural brain network topology. We identified a widespread pattern of age-related cortical thickness differences including "hotspots" of strong age effects located in brain areas with high centrality (structural network hubs). Regional age-related differences were furthermore strongly correlated within the structurally defined node neighborhood. The overall pattern of thickness differences as well as its change throughout the later lifespan was found to be anchored in the functional network hierarchy as encoded by macroscale functional connectivity gradients. Lastly, the identified difference pattern covaried significantly with cognitive and motor performance. Our findings indicate that connectivity profiles of functional and structural brain networks might act as organizing principles behind age-related cortical thinning as an imaging surrogate of cortical atrophy.

neuroscience↗

Comparison of classification methods for tissue outcome after ischemic stroke

In acute ischemic stroke, identifying brain tissue at high risk of infarction is important for clinical decision-making. This tissue may be identified with suitable classification methods from magnetic resonance imaging (MRI) data. The aim of the present study was to assess comparatively the performance of five popular classification methods (Adaptive Boosting (ADA), Logistic Regression (LR), Artificial Neural Networks (ANN), Random Forest (RF), and Support Vector Machine (SVM)) in identifying tissue at high risk of infarction on human voxel-based brain imaging data. The classification methods were used with eight MRI parameters including diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) obtained in 55 patients. Sensitivity, specificity, the area under the receiver operating curve (ROC) as well as the area under the precision-recall curve criteria were used to compare the method performances. The methods performed equally in terms of sensitivity and specificity while the results of the area under the ROC were significantly better for ADA, LR, ANN and RF. However, there was no statistically significant difference between the performances of these five classification methods regarding the area under the precision-recall curve, which was the main comparison metric.

neuroscience↗

Hemodynamic forces tune the arrest, adhesion and extravasation of circulating tumor cells

Metastatic seeding is driven by cell-intrinsic and environmental cues, yet the contribution of biomechanics is poorly known. We aim to elucidate the impact of blood flow on the arrest and the extravasation of circulating tumor cells (CTCs) in vivo. Using the zebrafish embryo, we show that arrest of CTCs occurs in vessels with favorable flow profiles where flow forces control the adhesion efficacy of CTCs to the endothelium. We biophysically identified the threshold values of flow and adhesion forces allowing successful arrest of CTCs. In addition, flow forces fine-tune tumor cell extravasation by impairing the remodeling properties of the endothelium. Importantly, we also observe endothelial remodeling at arrest sites of CTCs in mouse brain capillaries. Finally, we observed that human supratentorial brain metastases preferably develop in areas with low perfusion. Altogether, these results demonstrate that hemodynamic profiles at metastatic sites regulate key steps of extravasation preceding metastatic outgrowth.

cancer biology↗