
Universitätsmedizin Berlin
Articles
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Jul 24, 2024 |
fis.tu-dresden.de | Universitätsmedizin Berlin |Thomas Hummel |Heiko Krude |Johanna Overberg
BACKGROUND: Taste sensitivity varies between individuals. Several studies describe differences between obese and non-obese subjects concerning their taste perception. However, data are partly contradictory and insufficient. Therefore, in this study taste sensitivity of obese and non-obese children/adolescents was analysed.
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Jul 16, 2024 |
academic.oup.com | Humboldt-Universität zu Berlin |Muhammad Shahzeb |Universitätsmedizin Berlin
Cardiac wasting (i.e. the loss of heart muscle) has been observed in late stages of several chronic diseases that are linked to whole body cachexia—including heart failure.1 Likewise, this has also been seen in severely malnourished patients with anorexia nervosa.2 Studies that assessed cardiac wasting in preclinical models found that the main mechanisms responsible for cardiac wasting include disrupted cardiomyocyte ultrastructure, fibrosis, and proteolysis.3 Cardiac wasting can occur due to...
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May 8, 2024 |
academic.oup.com | Universitätsmedizin Berlin
Diagnostic criteria for mental disorders are subject to change.
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Apr 18, 2024 |
trialsjournal.biomedcentral.com | Humboldt-Universität zu Berlin |Universitätsmedizin Berlin
The primary analysis of the primary endpoint will be performed by logistic regression with (fixed) factor treatment group (verum, placebo regarding the primary allergen) and the stratification factors primary allergen (hen’s egg, cow’s milk, peanuts, hazelnuts), age group (≤ 2, > 2 years of age), grade of sensitization (low, medium, and high), and planned duration of intervention (< 5, ≥ 5 months).
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Mar 22, 2024 |
bmccancer.biomedcentral.com | Humboldt-Universität zu Berlin |Universitätsmedizin Berlin
Gene expression data and corresponding clinical information of glioma patients were downloaded from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov), and Chinese Glioma Genome Atlas (CGGA, http://www.cgga.org.cn). The CGGA encompasses two mRNA sequence databases named CGGA325 and CGGA693, containing 325 and 693 samples, respectively. Bioinformatics analyses were realized with R Language. Survival and survminer R packages were used to conduct Kaplan–Meier (K-M) survival analyses.
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