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This research project investigated how motor activity, such as cycling, influences the acquisition of foreign language vocabulary under two distinct conditions of auditory-motor-synchronisation. In a mixed subject design, 48 participants had to learn 40 Polish-German vocabulary pairs by auditory presentation over headphones in two different conditions, in which they performed motor activity cycling on a bicycle ergometer: in experiment 1, vocabulary was presented in a fixed rhythm while in experiment 2, participants self-initiated the presentation of vocabulary through pedalling. After having listened to the word pairs, they had to perform online vocabulary tests, one directly after the learning session and a second one 24 hours later from home. Additionally, the individual pitch perception preference (i.e. fundamental vs. spectral pitch perception) of the participants was determined.
The results showed that fundamental listeners forgot significantly more vocabulary than spectral listeners during the fixed than during the self-initiated condition. There was no difference within the groups for the self-initiated condition. The analysis of the motor data revealed a significantly more accurate synchronisation for fundamental listeners during the fixed condition. Therefore, this study provides first evidence for the benefit of self-initiated auditory-motor synchronisation in the process of learning a foreign language in adults. It also reveals that pitch preference has an effect on auditory-motor synchronisation.
Die Multiple Sklerose (MS) gehört zu den häufigsten chronisch-entzündlichen Erkrankungen des zentralen Nervensystems in Deutschland und kann durch Sehstörungen, Paresen oder Sensibilitätsstörungen symptomatisch werden.
Konventionelle Magnetresonanztomographie (MRT)-Verfahren leisten in der Diagnostik der MS einen wichtigen Beitrag, da diese die Läsionslast der weißen Substanz gut darstellen können. Frühere Studien deuten an, dass kognitive und psychomotorische Symptome wie Fatigue sowie Konzentrations- und Gedächtnisstörungen bei der MS mit Schädigungen des zerebralen Kortex in Beziehung stehen könnten. Mit konventionellen MRT-Bildgebungsverfahren lässt sich zwar kortikale Atrophie, nicht jedoch die zugrundeliegenden mikrostrukturellen kortikalen Umbauprozesse erfassen. In der vorliegenden Studie wurden daher quantitative MRT(qMRT)-Verfahren verwendet, die eben diese diffusen kortikalen Gewebsveränderungen messen und quantifizieren können. Mithilfe der dabei genutzten Diffusions-Tensor-Bildgebung (DTI) als qMRT-Verfahren konnten Diffusionsanomalien analysiert und charakterisiert werden. Dabei wurden zwei Gewebsparameter im Gehirn bestimmt: die mittlere Diffusivität(MD) und die fraktionelle Anisotropie (FA). Da vorherige Studien uneinheitliche Ergebnisse hinsichtlich Änderungen von DTI-Parametern in der grauen Substanz bei der MS erbrachten, beschäftigten wir uns mit der Frage, ob kortikale MD- und FA-Veränderungen bei Patienten mit schubförmig-remittierender MS (RRMS) mithilfe optimierter DTI-Messtechniken zu detektieren sind, wie diese charakterisiert sind und wie sich diese im Kortex verteilen.
An der vorliegenden Studie nahmen 24 Patienten mit RRMS und 25 gesunde Kontrollprobanden teil. Der Schweregrad der Erkrankung wurde mithilfe des Expanded Disability Status Scale (EDSS) eingestuft.
Bei der MRT-Datenerfassung wurde eine optimierte DTI-Methode mit intrinsischer „Eddy-Current“-Kompensation verwendet. Die MD und die FA wurden für jeden Bildpunkt bestimmt. Kortikale Parameterwerte wurden ausgelesen und in Oberflächendatensätzen gespeichert. Es erfolgte ein oberflächenbasierter statistischer Gruppenvergleich. Kortikale Mittelwerte wurden für die MD und die FA bestimmt und zwischen den Gruppen verglichen.
Für Parameter mit nachgewiesenen globalen Gruppenunterschieden wurde die Korrelation mit dem klinischen Status (quantifiziert durch den EDSS) bestimmt.
Die Analyse kortikaler Mittelwerte zeigte eine Erhöhung der MD in der Patientengruppe. Die MD-Veränderungen waren räumlich ausgedehnt und es fanden sich Cluster mit erhöhten MD-Werten in der Patientengruppe, insbesondere in temporalen, okzipitalen und parietalen Regionen. Des Weiteren konnte eine signifikante positive Korrelation zwischen dem EDSS-Score und der kortikalen MD festgestellt werden. Außerdem ließen sich fokale FA-Erniedrigungen im Temporal- und Okzipitallappen nachweisen. Die MD quantifiziert das Ausmaß und die FA die Gerichtetheit der Diffusion.
Somit bietet die MD möglicherweise Hinweise auf die Intaktheit mikrostruktureller Barrieren und die FA auf die Integrität von Faserverbindungen. Unsere Ergebnisse könnten demnach darauf hinweisen, dass im Kortex von MS-Patienten der Abbau mikrostruktureller Barrieren räumlich ausgedehnter stattfindet als eine Störung axonaler Strukturen. Die Korrelation der MD mit dem klinischen Status legt die Möglichkeit der Quantifizierung klinisch relevanter kortikaler Gewebsveränderungen und somit eine mögliche Relevanz dieser Techniken für klinische Studien nahe.
Background: Breast cancer (BC) is the most frequent female cancer and preferentially metastasizes to bone. The transcription factor TGFB-induced factor homeobox 1 (TGIF) is involved in bone metabolism. However, it is not yet known whether TGIF is associated with BC bone metastasis or patient outcome and thus of potential interest. Methods: TGIF expression was analyzed by immunohistochemistry in 1197 formalin-fixed, paraffin-embedded tissue samples from BC patients treated in the GAIN (German Adjuvant Intergroup Node-Positive) study with two adjuvant dose-dense schedules of chemotherapy with or without bisphosphonate ibandronate. TGIF expression was categorized into negative/low and moderate/strong staining. Endpoints were disease-free survival (DFS), overall survival (OS) and time to primary bone metastasis as first site of relapse (TTPBM). Results: We found associations of higher TGIF protein expression with smaller tumor size (p= 0.015), well differentiated phenotype (p< 0.001) and estrogen receptor (ER)-positive BC (p< 0.001). Patients with higher TGIF expression levels showed a significantly longer disease-free (DFS: HR 0.75 [95%CI 0.59–0.95], log-rank p=0.019) and overall survival (OS: HR 0.69 [95%CI 0.50–0.94], log-rank p= 0.019), but no association with TTPBM (HR 0.77 [95%CI 0.51–1.16]; p= 0.213). Univariate analysis in molecular subgroups emphasized that elevated TGIF expression was prognostic for both DFS and OS in ER-positive BC patients (DFS: HR 0.68 [95%CI 0.51–0.91]; log-rank p= 0.009, interaction p= 0.130; OS: HR 0.60 [95%CI 0.41–0.88], log-rank p= 0.008, interaction p= 0.107) and in the HER2-negative subgroup (DFS:HR 0.67 [95%CI 0.50–0.88], log-rank p= 0.004, interaction p= 0.034; OS: HR 0.57 [95%CI 0.40–0.81], log-rank p= 0.002, interaction p= 0.015). Conclusions: Our results suggest that moderate to high TGIF expression is a common feature of breast cancer cells and that this is not associated with bone metastases as first site of relapse. However, a reduced expression is linked to tumor progression, especially in HER2-negative breast cancer.
High-resolution fMRI in the sub-millimeter regime allows researchers to resolve brain activity across cortical layers and columns non-invasively. While these high-resolution data make it possible to address novel questions of directional information flow within and across brain circuits, the corresponding data analyses are challenged by MRI artifacts, including image blurring, image distortions, low SNR, and restricted coverage. These challenges often result in insufficient spatial accuracy of conventional analysis pipelines. Here we introduce a new software suite that is specifically designed for layer-specific functional MRI: LayNii. This toolbox is a collection of command-line executable programs written in C/C++ and is distributed opensource and as pre-compiled binaries for Linux, Windows, and macOS. LayNii is designed for layer-fMRI data that suffer from SNR and coverage constraints and thus cannot be straightforwardly analyzed in alternative software packages. Some of the most popular programs of LayNii contain ‘layerification’ and columnarization in the native voxel space of functional data as well as many other layer-fMRI specific analysis tasks: layer-specific smoothing, model-based vein mitigation of GE-BOLD data, quality assessment of artifact dominated sub-millimeter fMRI, as well as analyses of VASO data.
Aims: Cardio-oncology is a growing interdisciplinary field which aims to improve cardiological care for cancer patients in order to reduce morbidity and mortality. The impact of cardiac biomarkers, echocardiographic parameters, and cardiological assessment regarding risk stratification is still unclear. We aimed to identify potential parameters that allow an early risk stratification of cancer patients. Methods and results: In this cohort study, we evaluated 930 patients that were admitted to the cardio-oncology outpatient clinic of the University Hospital Heidelberg from January 2016 to January 2019. We performed echocardiography, including Global Longitudinal Strain (GLS) analysis and measured cardiac biomarkers including N-terminal pro brain-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T levels (hs-cTnT). Most patients were suffering from breast cancer (n = 450, 48.4%), upper gastrointestinal carcinoma (n = 99, 10.6%) or multiple myeloma (n = 51, 5.5%). At the initial visit, we observed 86.7% of patients having a preserved left ventricular ejection fraction (LVEF >50%). At the second follow up, still 78.9% of patients showed a preserved LVEF. Echocardiographic parameters or elevation of NT-proBNP did not significantly correlate with all-cause mortality (ACM) (logistic regression LVEF <50%: P = 0.46, NT-proBNP: P = 0.16) and failed to identify high-risk patients. In contrast, hs-cTnT above the median (≥7 ng/L) was an independent marker to determine ACM (multivariant logistic regression, OR: 2.21, P = 0.0038) among all included patients. In particular, hs-cTnT levels before start of a chemotherapy were predictive for ACM. Conclusions: Based on our non-selected cohort of cardio-oncological patients, hs-cTnT was able to identify patients with high mortality by using a low cutoff of 7 ng/L. We conclude that measurement of hs-cTnT is an important tool to stratify the risk for mortality of cancer patients before starting chemotherapy.
We retrospectively investigated histopathological growth patterns in individuals with advanced nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) treated within the randomized HD18 study. In all, 35/60 patients (58%) presented with atypical growth patterns. Patients with atypical growth patterns more often had stage IV disease (P = 0·0354) and splenic involvement (P = 0·0048) than patients with typical growth patterns; a positive positron emission tomography after two cycles of chemotherapy (PET-2) tended to be more common (P = 0·1078). Five-year progression-free survival [hazard ratio (HR) = 0·86; 95% confidence interval (CI) = 0·49–1·47] and overall survival (HR = 0·85; 95% CI = 0·49–1·51) did not differ between the groups after study treatment with PET-2-guided escalated BEACOPP (bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, prednisone). Thus, advanced NLPHL is often associated with atypical growth patterns but their prognostic impact is compensated by PET-2-guided escalated BEACOPP.
Since the early 1970s several studies have reported distal splenic artery embolization, better known as partial spleen embolization (PSE), as an efficacious treatment of portal hypertensive variceal bleeding and hypersplenism in cirrhosis.(1, 2) However, the effect of PSE on portal pressure is secondary to the induction of splenic infarction. Depending on both the infarct volume and possible infection, PSE can induce serious complications including death.(2, 3) On the other hand, proximal splenic artery embolization (PSAE), which mimics surgical splenic artery ligation, prevents large infarction of the spleen, favoring collateral perfusion of its intact distal vasculature.(3) For this, PSAE has been extensively preferred over PSE for reducing portal hyperflow and treating refractory ascites (RA) after whole or partial liver transplantation (LT).(3, 4) We report here a case of PSAE used to treat RA in a patient with cirrhosis not eligible for transjugular intrahepatic portosystemic shunt (TIPS) and LT.
Inhibition of fatty acid synthesis (FAS) stimulates tumor cell death and reduces angiogenesis. When SH-SY5Y cells or primary neurons are exposed to hypoxia only, inhibition of FAS yields significantly enhanced cell injury. The pathophysiology of stroke, however, is not only restricted to hypoxia but also includes reoxygenation injury. Hence, an oxygen-glucose-deprivation (OGD) model with subsequent reoxygenation in both SH-SY5Y cells and primary neurons as well as a murine stroke model were used herein in order to study the role of FAS inhibition and its underlying mechanisms. SH-SY5Y cells and cortical neurons exposed to 10 h of OGD and 24 h of reoxygenation displayed prominent cell death when treated with the Acetyl-CoA carboxylase inhibitor TOFA or the fatty acid synthase inhibitor cerulenin. Such FAS inhibition reduced the reduction potential of these cells, as indicated by increased NADH2+/NAD+ ratios under both in vitro and in vivo stroke conditions. As observed in the OGD model, FAS inhibition also resulted in increased cell death in the stroke model. Stroke mice treated with cerulenin did not only display increased brain injury but also showed reduced neurological recovery during the observation period of 4 weeks. Interestingly, cerulenin treatment enhanced endothelial cell leakage, reduced transcellular electrical resistance (TER) of the endothelium and contributed to poststroke blood-brain barrier (BBB) breakdown. The latter was a consequence of the activated NF-κB pathway, stimulating MMP-9 and ABCB1 transporter activity on the luminal side of the endothelium. In conclusion, FAS inhibition aggravated poststroke brain injury as consequence of BBB breakdown and NF-κB-dependent inflammation.
Background: No simple staging system has emerged for basal cell carcinomas (BCCs), since they do not follow the TNM process, and practitioners failed to agree on simple clinical or pathological criteria as a basis for a classification. Operational classification of BCCs is required for decision-making, trials and guidelines. Unsupervised clustering of real cases of difficult-to-treat BCCs (DTT-BCCs; part 1) has demonstrated that experts could blindly agree on a five groups classification of DTT-BCCs based on five patterns of clinical situations. Objective: Using this five patterns to generate an operational and comprehensive classification of BCCs. Method: Testing practitioner's agreement, when using the five patterns classification to ensure that it is robust enough to be used in the practice. Generating the first version of a staging system of BCCs based on pattern recognition. Results: Sixty-two physicians, including 48 practitioners and the 14 experts who participated in the generation of the five different patterns of DTT-BCCs, agreed on 90% of cases when classifying 199 DTT-BCCs cases using the five patterns classification (part 1) attesting that this classification is understandable and usable in practice. In order to cover the whole field of BCCs, these five groups of DTT-BCCs were added a group representing the huge number of easy-to-treat BCCs, for which sub-classification has little interest, and a group of very rare metastatic cases, resulting in a four-stage and seven-substage staging system of BCCs. Conclusion: A practical classification adapted to the specificities of BCCs is proposed. It is the first tumour classification based on pattern recognition of clinical situations, which proves to be consistent and usable. This EADO staging system version 1 will be improved step by step and tested as a decision tool and a prognostic instrument.