Deutsches Zentrum für Herzinsuffizienz (DZHI)
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- heart failure (16)
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- cardiomyopathy (6)
- magnetic resonance imaging (6)
- mitochondria (6)
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- myocardial infarction (5)
- prognosis (5)
- akute Herzinsuffizienz (4)
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- Deutsches Zentrum für Herzinsuffizienz (DZHI) (145)
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Sonstige beteiligte Institutionen
- Clinical Trial Center (CTC) / Zentrale für Klinische Studien Würzburg (ZKSW) (2)
- Center for Interdisciplinary Clinical Research, Würzburg University, Würzburg, Germany (1)
- Datenintegrationszentrum Würzburg (DIZ) (1)
- Department of Medicinal Chemistry, University of Vienna, Althanstraße 14, 1090 Vienna, Austria (1)
- Department of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Althanstraße 14, 1090 Vienna, Austria (1)
- Interdisziplinäre Biomaterial- und Datenbank Würzburg (ibdw) (1)
- Interdisziplinäre Zentrum für Klinische Forschung (IZKF) (1)
- Klinische Studienzentrale (Universitätsklinikum) (1)
- Servicezentrum Medizin-Informatik (1)
- Universitätsklinikum Würzburg (UKW) (1)
Purpose
To fully automatically derive quantitative parameters from late gadolinium enhancement (LGE) cardiac MR (CMR) in patients with myocardial infarction and to investigate if phase sensitive or magnitude reconstructions or a combination of both results in best segmentation accuracy.
Methods
In this retrospective single center study, a convolutional neural network with a U-Net architecture with a self-configuring framework (“nnU-net”) was trained for segmentation of left ventricular myocardium and infarct zone in LGE-CMR. A database of 170 examinations from 78 patients with history of myocardial infarction was assembled. Separate fitting of the model was performed, using phase sensitive inversion recovery, the magnitude reconstruction or both contrasts as input channels.
Manual labelling served as ground truth. In a subset of 10 patients, the performance of the trained models was evaluated and quantitatively compared by determination of the Sørensen-Dice similarity coefficient (DSC) and volumes of the infarct zone compared with the manual ground truth using Pearson’s r correlation and Bland-Altman analysis.
Results
The model achieved high similarity coefficients for myocardium and scar tissue. No significant difference was observed between using PSIR, magnitude reconstruction or both contrasts as input (PSIR and MAG; mean DSC: 0.83 ± 0.03 for myocardium and 0.72 ± 0.08 for scars). A strong correlation for volumes of infarct zone was observed between manual and model-based approach (r = 0.96), with a significant underestimation of the volumes obtained from the neural network.
Conclusion
The self-configuring nnU-net achieves predictions with strong agreement compared to manual segmentation, proving the potential as a promising tool to provide fully automatic quantitative evaluation of LGE-CMR.
Mutations in mitochondrial aminoacyl-tRNA synthetases (mtARSs) have been reported in patients with mitochondriopathies: most commonly encephalopathy, but also cardiomyopathy. Through a GWAS, we showed possible associations between mitochondrial valyl-tRNA synthetase (VARS2) dysregulations and non-ischemic cardiomyopathy. We aimed to investigate the possible consequences of VARS2 depletion in zebrafish and cultured HEK293A cells. Transient VARS2 loss-of-function was induced in zebrafish embryos using Morpholinos. The enzymatic activity of VARS2 was measured in VARS2-depleted cells via northern blot. Heterozygous VARS2 knockout was established in HEK293A cells using CRISPR/Cas9 technology. BN-PAGE and SDS-PAGE were used to investigate electron transport chain (ETC) complexes, and the oxygen consumption rate and extracellular acidification rate were measured using a Seahorse XFe96 Analyzer. The activation of the integrated stress response (ISR) and possible disruptions in mitochondrial fatty acid oxidation (FAO) were explored using RT-qPCR and western blot. Zebrafish embryos with transient VARS2 loss-of-function showed features of heart failure as well as indications of CNS and skeletal muscle involvements. The enzymatic activity of VARS2 was significantly reduced in VARS2-depleted cells. Heterozygous VARS2-knockout cells showed a rearrangement of ETC complexes in favor of complexes III\(_2\), III\(_2\) + IV, and supercomplexes without significant respiratory chain deficiencies. These cells also showed the enhanced activation of the ISR, as indicated by increased eIF-2α phosphorylation and a significant increase in the transcript levels of ATF4, ATF5, and DDIT3 (CHOP), as well as disruptions in FAO. The activation of the ISR and disruptions in mitochondrial FAO may underlie the adaptive changes in VARS2-depleted cells.
LMNA-related dilated cardiomyopathy is an inherited heart disease caused by mutations in the LMNA gene encoding for lamin A/C. The disease is characterized by left ventricular enlargement and impaired systolic function associated with conduction defects and ventricular arrhythmias. We hypothesized that LMNA-mutated patients' induced Pluripotent Stem Cell-derived cardiomyocytes (iPSC-CMs) display electrophysiological abnormalities, thus constituting a suitable tool for deciphering the arrhythmogenic mechanisms of the disease, and possibly for developing novel therapeutic modalities. iPSC-CMs were generated from two related patients (father and son) carrying the same E342K mutation in the LMNA gene. Compared to control iPSC-CMs, LMNA-mutated iPSC-CMs exhibited the following electrophysiological abnormalities: (1) decreased spontaneous action potential beat rate and decreased pacemaker current (I\(_f\)) density; (2) prolonged action potential duration and increased L-type Ca\(^{2+}\) current (I\(_{Ca,L}\)) density; (3) delayed afterdepolarizations (DADs), arrhythmias and increased beat rate variability; (4) DADs, arrhythmias and cessation of spontaneous firing in response to β-adrenergic stimulation and rapid pacing. Additionally, compared to healthy control, LMNA-mutated iPSC-CMs displayed nuclear morphological irregularities and gene expression alterations. Notably, KB-R7943, a selective inhibitor of the reverse-mode of the Na\(^+\)/Ca\(^{2+}\) exchanger, blocked the DADs in LMNA-mutated iPSC-CMs. Our findings demonstrate cellular electrophysiological mechanisms underlying the arrhythmias in LMNA-related dilated cardiomyopathy.
About 50% of patients with arrhythmogenic cardiomyopathy (ACM) carry a pathogenic or likely pathogenic mutation in the desmosomal genes. However, there is a significant number of patients without positive familial anamnesis. Therefore, the molecular reasons for ACM in these patients are frequently unknown and a genetic contribution might be underestimated. Here, we used a next-generation sequencing (NGS) approach and in addition single nucleotide polymor-phism (SNP) arrays for the genetic analysis of two independent index patients without familial medical history. Of note, this genetic strategy revealed a homozygous splice site mutation (DSG2–c.378+1G>T) in the first patient and a nonsense mutation (DSG2–p.L772X) in combination with a large deletion in DSG2 in the second one. In conclusion, a recessive inheritance pattern is likely for both cases, which might contribute to the hidden medical history in both families. This is the first report about these novel loss-of-function mutations in DSG2 that have not been previously identi-fied. Therefore, we suggest performing deep genetic analyses using NGS in combination with SNP arrays also for ACM index patients without obvious familial medical history. In the future, this finding might has relevance for the genetic counseling of similar cases.
Despite important advances in diagnosis and treatment, heart failure (HF) remains a syndrome with substantial morbidity and dismal prognosis. Although implementation and optimization of existing technologies and drugs may lead to better management of HF, new or alternative strategies are desirable. In this regard, basic science is expected to give fundamental inputs, by expanding the knowledge of the pathways underlying HF development and progression, identifying approaches that may improve HF detection and prognostic stratification, and finding novel treatments. Here, we discuss recent basic science insights that encompass major areas of translational research in HF and have high potential clinical impact.
Die arrhythmogene Kardiomyopathie (ACM) ist eine Herzmuskelerkrankung, die durch den fett- und bindegewebigen Umbau von Herzmuskelgewebe charakterisiert ist. Klinisch treten häufig ventrikuläre Herzrhythmusstörungen auf, teilweise bis hin zum plötzlichen Herztod. ACM ist eine genetisch bedingte Erkrankung, die durch Mutationen in desmosomalen Proteinen, wie Plakophilin-2 (PKP2) und Desmoglein-2 (DSG2), entsteht. Die molekularen Mechanismen sind nur teilweise verstanden und aktuell gibt es keine spezifischen Therapiemöglichkeiten.
Ziel der Arbeit war es, die therapeutische Wirkung eines DSG2-spezifischen Tandem-Peptids (TP) durch desmosomale Stabilisierung an humanen Kardiomyozyten (KM) in einem ACM-Modell zu untersuchen. KM wurden aus humanen induzierten pluripotenten Stammzellen (hiPS) einer PKP2-Knockout- (PKP2-KO), DSG2-Knockout- (DSG2-KO) und deren isogener Kontrollzelllinie differenziert. Zunächst wurden verschiedene Methoden der beschleunigten Zellreifung getestet. Dann wurden die PKP2- und DSG2-KO-KM anhand von intrazellulären Kalzium-Messungen und Arrhythmie-Analysen phänotypisch charakterisiert. Letztlich wurde die Wirkung des TPs, das an die DSG2 der geschwächten Zellbindungen von PKP2-KO-KM binden sollte, im Vergleich zu entsprechenden Kontrollen untersucht.
Die Ergebnisse zeigen, dass mit der Matrigel-Mattress-Kultivierung und einer Hormonbehandlung elektrisch stimulierbare hiPS-KM mit reifen Eigenschaften hergestellt werden konnten. Der Phänotyp der mutationstragenden PKP2-KO-KM und DSG2-KO-KM zeichnete sich durch erhöhte diastolische Kalzium-Konzentrationen und erniedrigte Kalzium-Amplituden sowie durch beschleunigte Kalzium-Kinetik im Sinne der Relaxationszeiten aus. Weiterhin war bei den PKP2-KO-KM die Häufigkeit der Arrhythmien erhöht, die unter beta-adrenerger Stimulation nachließen. Insgesamt konnte keine eindeutige Wirkung des TPs im ACM-Modell gezeigt werden. Das TP hatte nur auf die diastolischen Kalzium-Konzentrationen der PKP2-KO-KM einen therapeutischen Einfluss, allerdings auch auf DSG2-KO-KM, weshalb der Hinweis auf eine fehlende DSG2-Spezifität des TPs entstand.
Schlussfolgernd wurde bestätigt, dass sich reife hiPS-KM mit genetischen Veränderungen als Modell zur Untersuchung der Kalziumhomöostase und von Arrhythmien bei der ACM eignen. Sie können grundsätzlich zum Test von therapeutischen Anwendungen genutzt werden. Die Wirksamkeit und Spezifität des getesteten TPs sollte zukünftig weiter überprüft werden.
Herzinsuffizienz ist eines der häufigsten Krankheitsbilder, das trotz großer therapeutischer Fortschritte noch immer mit einer eingeschränkten Lebensqualität und schlechten Prognose einhergeht. Eine akute Dekompensation ist in Deutschland der häufigste Grund für einen Krankenhausaufenthalt, wobei sich die Prognose mit jeder Hospitalisierung zusätzlich verschlechtert.
Pathophysiologisch besteht ein enger Zusammenhang zwischen kardialer und renaler Funktion. Bei einer chronischen Herzinsuffizienz liegt häufig zusätzlich eine CKD vor und im Rahmen einer akuten kardialen Dekompensation kommt es häufig auch zu einer akuten Verschlechterung der Nierenfunktion.
Das AHF-Register verfolgte als prospektive Kohortenstudie einen umfassenden Forschungsansatz: Ätiologie, klinische Merkmale und medizinische Bedürfnisse sowie Kosten und Prognose sollten bei Patient:innen während und nach Krankenhausaufenthalt aufgrund akuter Herzinsuffizienz untersucht werden.
Über ca. 6 Jahre wurden insgesamt 1000 Patient:innen eingeschlossen, die im Vergleich zu anderen AHF- Studienkollektiven älter waren, mehr Komorbiditäten aufwiesen und häufiger in die Gruppe der HFpEF fielen. Über drei Viertel der Patient:innen hatten eine vorbekannte chronische Herzinsuffizienz, nur bei ca. 22% erfolgte die Erstdiagnose einer akuten Herzinsuffizienz.
Ein WRF während der Indexhospitalisierung trat im untersuchten Kollektiv bei über einem Drittel der Patient:innen auf und damit häufiger als in vergleichbaren Studien (Inzidenz hier ca. 25%).
Dabei zeigten sich nur geringfügige Unterschiede zwischen der Definition eines WRF über einen absoluten Kreatinin-Anstieg (WRF-Crea) oder eine relative eGFR-Abnahme (WRF-GFR).
Als wichtige Risikofaktoren für ein WRF zeigten sich ein höheres Lebensalter, Komorbiditäten wie eine KHK oder CKD sowie die Höhe der Nierenfunktionswerte bei Aufnahme. Sowohl bei WRF-Crea als auch bei WRF-GFR kam es zu einer relevanten Verlängerung der Index-Hospitalisierungsdauer um jeweils drei Tage. Nur für WRF-Crea jedoch ließ sich ein 33% höheres 6-Monats-Rehospitalisierungsrisiko nachweisen, das aber in einer multivariablen Analyse nicht bestätigt werden konnte. Dagegen zeigten sich in multivariablen Modellen vor allem die Nierenfunktionsparameter selbst bei Aufnahme und Entlassung als starke Prädiktoren für eine erhöhte Mortalität und ein erhöhtes Rehospitalisierungsrisiko.
Wichtig erscheint im Hinblick auf die Prognose die Unterscheidung von Echtem WRF und Pseudo-WRF. Das Mortalitätsrisiko war bei Echtem WRF bis zu 4,4-fach, das Rehospitalisierungsrisiko bis zu 2,5-fach erhöht.
Ziel sollte sein, diese beiden pathophysiologisch und prognostisch unterschiedlichen Entitäten anhand von klinischen oder laborchemischen Markern sicher differenzieren zu können. Ein Konzept für die Betreuung von Patient:innen mit Echtem WRF, z. B. im Rahmen einer „Decongestion Stewardship“ (in Analogie zum Antibiotic Stewardship) mit engmaschigen Therapiekontrollen und -anpassungen könnte erarbeitet werden, um die Prognose dieser besonders gefährdeten Gruppe zu verbessern.
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
Background
To investigate the effects of B\(_1\)-shimming and radiofrequency (RF) parallel transmission (pTX) on the visualization and quantification of the degree of stenosis in a coronary artery phantom using 7 Tesla (7 T) magnetic resonance imaging (MRI).
Methods
Stenosis phantoms with different grades of stenosis (0%, 20%, 40%, 60%, 80%, and 100%; 5 mm inner vessel diameter) were produced using 3D printing (clear resin). Phantoms were imaged with four different concentrations of diluted Gd-DOTA representing established arterial concentrations after intravenous injection in humans. Samples were centrally positioned in a thorax phantom of 30 cm diameter filled with a custom-made liquid featuring dielectric properties of muscle tissue. MRI was performed on a 7 T whole-body system. 2D-gradient-echo sequences were acquired with an 8-channel transmit 16-channel receive (8 Tx / 16 Rx) cardiac array prototype coil with and without pTX mode. Measurements were compared to those obtained with identical scan parameters using a commercially available 1 Tx / 16 Rx single transmit coil (sTX). To assess reproducibility, measurements (n = 15) were repeated at different horizontal angles with respect to the B0-field.
Results
B\(_1\)-shimming and pTX markedly improved flip angle homogeneity across the thorax phantom yielding a distinctly increased signal-to-noise ratio (SNR) averaged over a whole slice relative to non-manipulated RF fields. Images without B\(_1\)-shimming showed shading artifacts due to local B\(_1\)\(^+\)-field inhomogeneities, which hampered stenosis quantification in severe cases. In contrast, B\(_1\)-shimming and pTX provided superior image homogeneity. Compared with a conventional sTX coil higher grade stenoses (60% and 80%) were graded significantly (p<0.01) more precise. Mild to moderate grade stenoses did not show significant differences. Overall, SNR was distinctly higher with B\(_1\)-shimming and pTX than with the conventional sTX coil (inside the stenosis phantoms 14%, outside the phantoms 32%). Both full and half concentration (10.2 mM and 5.1 mM) of a conventional Gd-DOTA dose for humans were equally suitable for stenosis evaluation in this phantom study.
Conclusions
B\(_1\)-shimming and pTX at 7 T can distinctly improve image homogeneity and therefore provide considerably more accurate MR image analysis, which is beneficial for imaging of small vessel structures.
Background. Fast progression of the transaortic mean gradient (P-mean) is relevant for clinical decision making of valve replacement in patients with moderate and severe aortic stenosis (AS) patients. However, there is currently little knowledge regarding the determinants affecting progression of transvalvular gradient in AS patients. Methods. This monocentric retrospective study included consecutive patients presenting with at least two transthoracic echocardiography examinations covering a time interval of one year or more between April 2006 and February 2016 and diagnosed as moderate or severe aortic stenosis at the final echocardiographic examination. Laboratory parameters, medication, and prevalence of eight known cardiac comorbidities and risk factors (hypertension, diabetes, coronary heart disease, peripheral artery occlusive disease, cerebrovascular disease, renal dysfunction, body mass index >= 30 Kg/m(2), and history of smoking) were analyzed. Patients were divided into slow (P-mean < 5 mmHg/year) or fast (P-mean >= 5 mmHg/year) progression groups. Results. A total of 402 patients (mean age 78 +/- 9.4 years, 58% males) were included in the study. Mean follow-up duration was 3.4 +/- 1.9 years. The average number of cardiac comorbidities and risk factors was 3.1 +/- 1.6. Average number of cardiac comorbidities and risk factors was higher in patients in slow progression group than in fast progression group (3.3 +/- 1.5 vs 2.9 +/- 1.7; P = 0.036). Patients in slow progression group had more often coronary heart disease (49.2% vs 33.6%; P = 0.003) compared to patients in fast progression group. LDL-cholesterol values were lower in the slow progression group (100 +/- 32.6 mg/dl vs 110.8 +/- 36.6 mg/dl; P = 0.005). Conclusion. These findings suggest that disease progression of aortic valve stenosis is faster in patients with fewer cardiac comorbidities and risk factors, especially if they do not have coronary heart disease. Further prospective studies are warranted to investigate the outcome of patients with slow versus fast progression of transvalvular gradient with regards to comorbidities and risk factors.