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Herzforschung meets KI
(2024)
Moderne Methoden der Künstlichen Intelligenz (KI) spielen in der Wissenschaft eine immer größere Rolle. Wie Forscher des Exzellenzclusters Cardio-Pulmonary Institute (CPI) KI in der Herzbildgebung nutzen, zeigte Professor Eike Nagel im Rahmen der Bürgeruniversität der Goethe-Universität. Er leitet das Institut für experimentelle und translationale kardiovaskuläre Bildgebung am Fachbereich Medizin und forscht an der Entwicklung verbesserter Behandlungsmöglichkeiten für Herz-Kreislauf-Erkrankungen. Mit dem Ziel, seine Forschung für alle Menschen zugänglich und verständlicher zu machen, lud Prof. Nagel interessierte Bürger*innen am 10. Mai in sein Institut ein.
Pericytes are capillary-associated mural cells involved in the maintenance and the stability of the vascular network. This thesis aims to investigate the role of pericytes in the heart in the context of ageing and disease. We highlight the malignant effects of the remodelling in the heart and stress the focus on the role of cardiac pericytes in this context. We show that ageing reduces pericyte coverage and that myocardial infarction (MI) causes an activation of these cells. Single-nuclei and single-cell RNA sequencing analysis of murine hearts further revealed that the expression of the Regulator of G-protein signalling 5 (Rgs5) is reduced in cardiac pericytes both in ageing and transiently at day 1 and day 3 after MI. The loss of RGS5 in pericytes drives an entropic state of these mural cells characterized by morphological changes, excessive extracellular deposition and enhanced Gaq mediated GPCR signalling. The deletion of RGS5 in pericytes causes cardiac systolic dysfunction, induces myocardial fibrosis, and drives the activation of cardiac fibroblasts in a TGFb-dependent manner. In conclusion, our results describe the importance of pericytes maintaining cardiac homeostasis, identify RGS5 as a key regulator of this process and propose pericytes as crucial mediators of cardiac fibrosis and possible therapeutic targets to prevent cardiovascular disease.
Patients with coronavirus disease 19 (COVID-19) commonly show abnormalities of liver tests (LTs) of undetermined cause. Considering drugs as tentative culprits, the current systematic review searched for published COVID-19 cases with suspected drug-induced liver injury (DILI) and established diagnosis using the diagnostic algorithm of RUCAM (Roussel Uclaf Causality Assessment Method). Data worldwide on DILI cases assessed by RUCAM in COVID-19 patients were sparse. A total of 6/200 reports with initially suspected 996 DILI cases in COVID-19 patients and using all RUCAM-based DILI cases allowed for a clear description of clinical features of RUCAM-based DILI cases among COVID-19 patients: (1) The updated RUCAM published in 2016 was equally often used as the original RUCAM of 1993, with both identifying DILI and other liver diseases as confounders; (2) RUCAM also worked well in patients treated with up to 18 drugs and provided for most DILI cases a probable or highly probable causality level for drugs; (3) DILI was preferentially caused by antiviral drugs given empirically due to their known therapeutic efficacy in other virus infections; (4) hepatocellular injury was more often reported than cholestatic or mixed injury; (5) maximum LT values were found for alanine aminotransferase (ALT) 1.541 U/L and aspartate aminotransferase (AST) 1.076 U/L; (6) the ALT/AST ratio was variable and ranged from 0.4 to 1.4; (7) the mean or median age of the COVID-19 patients with DILI ranged from 54.3 to 56 years; (8) the ratio of males to females was 1.8–3.4:1; (9) outcome was favorable for most patients, likely due to careful selection of the drugs and quick cessation of drug treatment with emerging DILI, but it was fatal in 19 patients; (10) countries reporting RUCAM-based DILI cases in COVID-19 patients included China, India, Japan, Montenegro, and Spain; (11) robust estimation of the percentage contribution of RUCAM-based DILI for the increased LTs in COVID-19 patients is outside of the current scope. In conclusion, RUCAM-based DILI with its clinical characteristics in COVID-19 patients and its classification as a confounding variable is now well defined, requiring a new correct description of COVID-19 features by removing DILI characteristics as confounders.
In recent decades, mass spectrometry has moved more than ever before into the front line of protein-centered research. After being established at the qualitative level, the more challenging question of quantification of proteins and peptides using mass spectrometry has become a focus for further development. In this chapter, we discuss and review actual strategies and problems of the methods for the quantitative analysis of peptides, proteins, and finally proteomes by mass spectrometry. The common themes, the differences, and the potential pitfalls of the main approaches are presented in order to provide a survey of the emerging field of quantitative, mass spectrometry-based proteomics.
Evaluation of 2‑methoxyestradiol serum levels as a potential prognostic marker in malignant melanoma
(2021)
Experimental findings indicated that 2‑methoxyestradiol (2‑ME), an endogenous metabolite of 17β‑estradiol, may exhibit anti‑tumorigenic properties in various types of tumour, such as melanoma and endometrial carcinoma. In patients with endometrial cancer, the serum levels of 2‑ME are decreased compared with those in healthy controls, and this finding has been associated with a poor outcome. The aim of the present study was to examine whether the serum levels of 2‑ME are decreased in patients with melanoma, and whether this decrease may be correlated with disease stage and, therefore, serve as a prognostic indicator. ELISA was used to detect serum levels of 2‑ME in patients with stage I‑IV malignant melanoma (MM). A cohort of 78 patients with MM was analysed, along with 25 healthy controls, among whom 15 were women in the second trimester of pregnancy (positive control). As expected, significantly elevated levels of serum 2‑ME were observed in pregnant control patients compared with those in patients with MM and healthy controls. There was no observed correlation between 2‑ME serum levels in patients with MM and disease stage, tumour thickness, lactate dehydrogenase or S100 calcium‑binding protein B levels. In addition, the 2‑ME levels of patients with MM did not differ significantly from those of normal healthy controls. Overall, the findings of the present study indicated that the 2‑ME serum levels in patients with MM were not decreased, and there was no correlation with early‑ or advanced‑stage disease. Therefore, in contrast to published results on endometrial cancer, endogenous serum 2‑ME levels in MM were not found to be correlated with tumour stage and did not appear to be a suitable prognostic factor in MM.
Resting state fMRI has been employed to identify alterations in functional connectivity within or between brain regions following acute and chronic exposure to Δ9-tetrahydrocannabinol (THC), the psychoactive component in cannabis. Most studies focused a priori on a limited number of local brain areas or circuits, without considering the impact of cannabis on whole-brain network organization. The present study attempted to identify changes in the whole-brain human functional connectome as assessed with ultra-high field (7T) resting state scans of cannabis users (N = 26) during placebo and following vaporization of cannabis. Two distinct data-driven methodologies, i.e. network-based statistics (NBS) and connICA, were used to identify changes in functional connectomes associated with acute cannabis intoxication and history of cannabis use. Both methodologies revealed a broad state of hyperconnectivity within the entire range of major brain networks in chronic cannabis users compared to occasional cannabis users, which might be reflective of an adaptive network reorganization following prolonged cannabis exposure. The connICA methodology also extracted a distinct spatial connectivity pattern of hypoconnectivity involving the dorsal attention, limbic, subcortical and cerebellum networks and of hyperconnectivity between the default mode and ventral attention network, that was associated with the feeling of subjective high during THC intoxication. Whole-brain network approaches identified spatial patterns in functional brain connectomes that distinguished acute from chronic cannabis use, and offer an important utility for probing the interplay between short and long-term alterations in functional brain dynamics when progressing from occasional to chronic use of cannabis.
The microtubule (MT) cytoskeleton is crucial for cell motility and migration by regulating multiple cellular activities such as transport and endocytosis of key components of focal adhesions (FA). The kinesin-13 family is important in the regulation of MT dynamics and the best characterized member of this family is the mitotic centromere-associated kinesin (MCAK/KIF2C). Interestingly, its overexpression has been reported to be related to increased metastasis in various tumor entities. Moreover, MCAK is involved in the migration and invasion behavior of various cell types. However, the precise molecular mechanisms were not completely clarified. To address these issues, we generated CRISPR/dCas9 HeLa and retinal pigment epithelium (RPE) cell lines overexpressing or downregulating MCAK. Both up- or downregulation of MCAK led to reduced cell motility and poor migration in malignant as well as benign cells. Specifically, it’s up- or downregulation impaired FA protein composition and phosphorylation status, interfered with a proper spindle and chromosome segregation, disturbed the assembly and disassembly rate of FA, delayed cell adhesion, and compromised the plus-tip dynamics of MTs. In conclusion, our data suggest MCAK act as an important regulator for cell motility and migration by affecting the actin-MT cytoskeleton dynamics and the FA turnover, providing molecular mechanisms by which deregulated MCAK could promote malignant progression and metastasis of tumor cells.
Einleitung: Frailty (engl. für Gebrechlichkeit) bezeichnet eine mit hohem Alter zunehmende Verschlechterung des körperlichen und kognitiven Zustandes von Individuen, woraufhin der Körper nicht mehr in der Lage ist, adäquat auf äußere und innere Stressoren zu reagieren. Frailty ist mit einer erhöhten Morbiditäts- und Mortalitätsrate sowie längerer Krankenhausverweildauer und erhöhter postoperativer Komplikationsrate verbunden und stellt folglich einen chirurgischen Risikofaktor dar.
Problemstellung: Die Relevanz eines strukturierten Frailty Assessments in der präoperativen Risikostratifizierung führte zur Indikationsstellung, diverse validierte Risk Assessment Tools auf ihre prädiktive Vorhersagekraft bezüglich des Auftretens von postoperativen Komplikationen und postoperativer Sterbewahrscheinlichkeit zu untersuchen.
Methoden: In die vorliegende Studie wurden Patienten, die in dem Zeitraum vom 01.09.2018 und 31.01.2019 in der allgemeinchirurgischen Ambulanz vorstellig waren und einen allgemeinchirurgischen Eingriff erhielten, aufgenommen. Mittels Fragebögen wurden die Scores „Risk Analysis Index“, „Edmonton Frail Scale“ sowie „Charlson Comorbidity Index“ präoperativ erhoben und retrospektiv mit Daten aus der digitalen Patientenakte zusammengeführt. Endpunkte waren die 90-Tages- Mortalität sowie das Auftreten von schweren postoperativen Komplikationen ab Clavien Dindo Grad 3b. Die Analyse erfolgte in SPSS mittels Chi-Quadrat Test, t- Test und ROC-Kurven Analysen.
Ergebnisse: Das durchschnittliche Alter der Studienkohorte lag bei 56 ± 15.9 Jahren und der Anteil männlicher Patienten überwog mit 59.2% (n=282).
Die Fragebögen wurden 739 Patienten vorlegt und 476 Patienten konnten in die Datenanalyse eingeschlossen werden. Die 90-Tages-Mortalität lag bei 2.7% (n=13) und 9% (n=43) erlitten schwere postoperative Komplikationen ab Clavien-Dindo Grad IIIb. Die Einteilung nach der ASA-Klassifikation (p=0.024), maligne Diagnosen -7-(p<0.001) und Majorkomplikationen (p<0.001) stellten präoperative Risikofaktoren für postoperative 90-Tage-Mortalität dar. Von den Risk Assessment Scores zeigte lediglich der Risk Analysis Index eine signifikante Korrelation auf (p=0.013). Ein mittels ROC-Analyse ermittelter Cut-Off Wert von 23 klassifizierte 166 (34.9%) Patienten als frail, die mit 69% Sensitivität und 66% Spezifität (AUC=0.735) ein erhöhtes Risiko für postoperatives Versterben innerhalb von 90 Tagen aufwiesen (p=0.008). Risikofaktoren für das Auftreten schwerer postoperativer Komplikationen waren die ASA-Klassifikation (p=0.041), längere Krankenhausverweildauer (p<0.001) und maligne Diagnosen (p<0.001). Der Charlson Comorbidity Index (p=0.031) und RAI-C Werte ≥ 23 (p<0.001) korrelierten signifikant mit Majorkomplikationen. Das Alter ab 65 Jahren stellte mit 77 % Spezifität und 69 % Sensitivität ebenfalls einen prädiktiven Risikofaktor für postoperative Mortalität dar (AUC=0,787).
Schlussfolgerung: Mithilfe validierter Risk Assessment Tools ist es möglich Patienten, die ein erhöhtes Risiko für postoperative negative Ereignisse aufweisen, bereits präoperativ zu erkennen. Dies ermöglicht eine bessere Beurteilung der chirurgischen Indikationsstellung sowie das rechtzeitige Ergreifen von risikominimierenden Maßnahmen. Es ist notwendig die Ergebnisse dieser Arbeit künftig mit risikominimierenden Maßnahmen zu verknüpfen und zu untersuchen, ob die Implementierung der Risk Assessment Tools zu verbesserten postoperativen Ergebnissen führt, wenn modifizierbare Faktoren verbessert werden.