Publications by authors named "A Lohse"
Background And Aims: Portal hypertension is the main pathophysiological driver of decompensation in patients with liver cirrhosis. Epithelial cell death markers, m30 and m65, correlate with hepatic injury and predict outcomes across various stages of liver disease. We aim (i) to evaluate whether portal hypertension itself contributes to liver outcome-relevant epithelial injury, and (ii) to analyse the capacity of m30/m65 to predict outcome in patients receiving a transjugular intrahepatic portosystemic shunt (TIPS) for refractory ascites.
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- - The study investigates the role of soluble CD27 (sCD27) and its potential as a biomarker to predict patient responses to immune checkpoint inhibitors (ICIs) in cancer therapy, as many patients do not achieve lasting results with current treatments.
- - Researchers assessed serum and plasma levels of sCD27 across three patient cohorts (totaling 187 individuals) receiving ICI therapy, utilizing immunoassays and investigating both circulating and extracellular vesicle-bound forms of CD27.
- - Results showed that lower levels of sCD27 in patients treated with ICIs were associated with longer progression-free survival and overall survival, suggesting that sCD27 could serve as a valuable predictive biomarker for the effectiveness of ICI treatments.
Background: Perivascular space (PVS) enlargement in ageing and Alzheimer's disease (AD) and the drivers of such a structural change in humans require longitudinal investigation. Elucidating the effects of demographic factors, hypertension, cerebrovascular dysfunction, and AD pathology on PVS dynamics could inform the role of PVS in brain health function as well as the complex pathophysiology of AD.
Methods: We studied PVS in centrum semiovale (CSO) and basal ganglia (BG) computationally over three to four annual visits in 503 participants (255 females; mean = 70.
Word embeddings provide an unsupervised way to understand differences in word usage between discursive communities. A number of papers have focused on identifying words that are used differently by two or more communities. But word embeddings are complex, high-dimensional spaces and a focus on identifying differences only captures a fraction of their richness.
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