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Der myokardiale Ischämie-Reperfusions-Schaden (IR) hat eine hohe Relevanz in der Kardiologie und Herzchirurgie. Trotz intensiver Forschung ist es bislang nicht gelungen, eine
effektive Therapie des IR in den klinischen Alltag zu implementieren.
Mitochondrien spielen im IR eine wichtige Rolle. Die Raman-Spektroskopie mit Laserquellen von 785 nm Wellenlänge erlaubt die nicht-invasive Analyse pathophysiologischer Prozesse in vitro in Echtzeit. Daher eignet sich die Raman-spektroskopische Analyse von Mitochondrien möglicherweise dazu, notwendige neue Einblicke in die Pathophysiologie des myokardialen IR zu gewinnen.
Die vorliegende Arbeit analysierte die mitochondriale Funktion von subsarkolemmalen Mitochondrien im IR mit Hilfe bekannter Methoden. Anschließend erfolgte ein Vergleich der etablierten Methode „Clark-Elektrode“ mit der neu etablierten Raman-Spektroskopie zur Analyse der mitochondrialen Funktion im IR.
Earth Observation satellite data allows for the monitoring of the surface of our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span of 40 and more years at a daily repeat interval. This is the AVHRR sensor family. If we want to investigate the long-term impacts of climate change on our environment, we can only do so based on data that remains available for several decades. If we then want to investigate processes with respect to climate change, we need very high temporal resolution enabling the generation of long-term time series and the derivation of related statistical parameters such as mean, variability, anomalies, and trends. The challenges to generating a well calibrated and harmonized 40-year-long time series based on AVHRR sensor data flown on 14 different platforms are enormous. However, only extremely thorough pre-processing and harmonization ensures that trends found in the data are real trends and not sensor-related (or other) artefacts. The generation of European-wide time series as a basis for the derivation of a multitude of parameters is therefore an extremely challenging task, the details of which are presented in this paper.