@article{PoppSchmittBoehrerLangeretal.2021, author = {Popp, Sandy and Schmitt-B{\"o}hrer, Angelika and Langer, Simon and Hofmann, Ulrich and Hommers, Leif and Schuh, Kai and Frantz, Stefan and Lesch, Klaus-Peter and Frey, Anna}, title = {5-HTT Deficiency in Male Mice Affects Healing and Behavior after Myocardial Infarction}, series = {Journal of Clinical Medicine}, volume = {10}, journal = {Journal of Clinical Medicine}, number = {14}, issn = {2077-0383}, doi = {10.3390/jcm10143104}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-242739}, year = {2021}, abstract = {Anxiety disorders and depression are common comorbidities in cardiac patients. Mice lacking the serotonin transporter (5-HTT) exhibit increased anxiety-like behavior. However, the role of 5-HTT deficiency on cardiac aging, and on healing and remodeling processes after myocardial infarction (MI), remains unclear. Cardiological evaluation of experimentally na{\"i}ve male mice revealed a mild cardiac dysfunction in ≥4-month-old 5-HTT knockout (-/-) animals. Following induction of chronic cardiac dysfunction (CCD) by MI vs. sham operation 5-HTT-/- mice with infarct sizes >30\% experienced 100\% mortality, while 50\% of 5-HTT+/- and 37\% of 5-HTT+/+ animals with large MI survived the 8-week observation period. Surviving (sham and MI < 30\%) 5-HTT-/- mutants displayed reduced exploratory activity and increased anxiety-like behavior in different approach-avoidance tasks. However, CCD failed to provoke a depressive-like behavioral response in either 5-Htt genotype. Mechanistic analyses were performed on mice 3 days post-MI. Electrocardiography, histology and FACS of inflammatory cells revealed no abnormalities. However, gene expression of inflammation-related cytokines (TGF-β, TNF-α, IL-6) and MMP-2, a protein involved in the breakdown of extracellular matrix, was significantly increased in 5-HTT-/- mice after MI. This study shows that 5-HTT deficiency leads to age-dependent cardiac dysfunction and disrupted early healing after MI probably due to alterations of inflammatory processes in mice.}, language = {en} } @article{HepbasliGredyUllrichetal.2021, author = {Hepbasli, Denis and Gredy, Sina and Ullrich, Melanie and Reigl, Amelie and Abeßer, Marco and Raabe, Thomas and Schuh, Kai}, title = {Genotype- and Age-Dependent Differences in Ultrasound Vocalizations of SPRED2 Mutant Mice Revealed by Machine Deep Learning}, series = {Brain Sciences}, volume = {11}, journal = {Brain Sciences}, number = {10}, issn = {2076-3425}, doi = {10.3390/brainsci11101365}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-248525}, year = {2021}, abstract = {Vocalization is an important part of social communication, not only for humans but also for mice. Here, we show in a mouse model that functional deficiency of Sprouty-related EVH1 domain-containing 2 (SPRED2), a protein ubiquitously expressed in the brain, causes differences in social ultrasound vocalizations (USVs), using an uncomplicated and reliable experimental setting of a short meeting of two individuals. SPRED2 mutant mice show an OCD-like behaviour, accompanied by an increased release of stress hormones from the hypothalamic-pituitary-adrenal axis, both factors probably influencing USV usage. To determine genotype-related differences in USV usage, we analyzed call rate, subtype profile, and acoustic parameters (i.e., duration, bandwidth, and mean peak frequency) in young and old SPRED2-KO mice. We recorded USVs of interacting male and female mice, and analyzed the calls with the deep-learning DeepSqueak software, which was trained to recognize and categorize the emitted USVs. Our findings provide the first classification of SPRED2-KO vs. wild-type mouse USVs using neural networks and reveal significant differences in their development and use of calls. Our results show, first, that simple experimental settings in combination with deep learning are successful at identifying genotype-dependent USV usage and, second, that SPRED2 deficiency negatively affects the vocalization usage and social communication of mice.}, language = {en} }