610 Medizin und Gesundheit
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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.
To evaluate an iterative learning approach for enhanced performance of robust artificial‐neural‐networks for k‐space interpolation (RAKI), when only a limited amount of training data (auto‐calibration signals [ACS]) are available for accelerated standard 2D imaging.
Methods
In a first step, the RAKI model was tailored for the case of limited training data amount. In the iterative learning approach (termed iterative RAKI [iRAKI]), the tailored RAKI model is initially trained using original and augmented ACS obtained from a linear parallel imaging reconstruction. Subsequently, the RAKI convolution filters are refined iteratively using original and augmented ACS extracted from the previous RAKI reconstruction. Evaluation was carried out on 200 retrospectively undersampled in vivo datasets from the fastMRI neuro database with different contrast settings.
Results
For limited training data (18 and 22 ACS lines for R = 4 and R = 5, respectively), iRAKI outperforms standard RAKI by reducing residual artifacts and yields better noise suppression when compared to standard parallel imaging, underlined by quantitative reconstruction quality metrics. Additionally, iRAKI shows better performance than both GRAPPA and standard RAKI in case of pre‐scan calibration with varying contrast between training‐ and undersampled data.
Conclusion
RAKI benefits from the iterative learning approach, which preserves the noise suppression feature, but requires less original training data for the accurate reconstruction of standard 2D images thereby improving net acceleration.
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.
Fabry Disease (FD) is a rare, X-linked, lysosomal storage disease that mainly causes renal, cardiac and cerebral complications. Enzyme replacement therapy (ERT) with recombinant alpha-galactosidase A is available, but approximately 50% of male patients with classical FD develop inhibiting anti-drug antibodies (iADAs) that lead to reduced biochemical responses and an accelerated loss of renal function. Once immunization has occurred, iADAs tend to persist and tolerization is hard to achieve. Here we developed a pre-treatment prediction model for iADA development in FD using existing data from 120 classical male FD patients from three European centers, treated with ERT. We found that nonsense and frameshift mutations in the α-galactosidase A gene (p = 0.05), higher plasma lysoGb3 at baseline (p < 0.001) and agalsidase beta as first treatment (p = 0.006) were significantly associated with iADA development. Prediction performance of a Random Forest model, using multiple variables (AUC-ROC: 0.77) was compared to a logistic regression (LR) model using the three significantly associated variables (AUC-ROC: 0.77). The LR model can be used to determine iADA risk in individual FD patients prior to treatment initiation. This helps to determine in which patients adjusted treatment and/or immunomodulatory regimes may be considered to minimize iADA development risk.
Chronic kidney disease (CKD) is a debilitating pathology with various causal factors, culminating in end stage renal disease (ESRD) requiring dialysis or kidney transplantation. The progression of CKD is closely associated with systemic inflammation and oxidative stress, which are responsible for the manifestation of numerous complications such as malnutrition, atherosclerosis, coronary artery calcification, heart failure, anemia and mineral and bone disorders, as well as enhanced cardiovascular mortality. In addition to conventional therapy with anti-inflammatory and antioxidative agents, growing evidence has indicated that certain minerals, vitamins and plant-derived metabolites exhibit beneficial effects in these disturbances. In the current work, we review the anti-inflammatory and antioxidant properties of various agents which could be of potential benefit in CKD/ESRD. However, the related studies were limited due to small sample sizes and short-term follow-up in many trials. Therefore, studies of several anti-inflammatory and antioxidant agents with long-term follow-ups are necessary.
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.
MiRNAs are important epigenetic players with tissue- and disease-specific effects. In this study, our aim was to investigate the putative differential expression of miRNAs in adrenal tissues from different forms of Cushing's syndrome (CS). For this, miRNA-based next-generation sequencing was performed in adrenal tissues taken from patients with ACTH-independent cortisol-producing adrenocortical adenomas (CPA), from patients with ACTH-dependent pituitary Cushing's disease (CD) after bilateral adrenalectomy, and from control subjects. A confirmatory QPCR was also performed in adrenals from patients with other CS subtypes, such as primary bilateral macronodular hyperplasia and ectopic CS. Sequencing revealed significant differences in the miRNA profiles of CD and CPA. QPCR revealed the upregulated expression of miR-1247-5p in CPA and PBMAH (log2 fold change > 2.5, p < 0.05). MiR-379-5p was found to be upregulated in PBMAH and CD (log2 fold change > 1.8, p < 0.05). Analyses of miR-1247-5p and miR-379-5p expression in the adrenals of mice which had been exposed to short-term ACTH stimulation showed no influence on the adrenal miRNA expression profiles. For miRNA-specific target prediction, RNA-seq data from the adrenals of CPA, PBMAH, and control samples were analyzed with different bioinformatic platforms. The analyses revealed that both miR-1247-5p and miR-379-5p target specific genes in the WNT signaling pathway. In conclusion, this study identified distinct adrenal miRNAs as being associated with CS subtypes.
Mass spectrometry-based quantification of steroids for the diagnostic workup of adrenal tumors
(2023)
Tumors of the adrenal gland belong to the most frequent neoplasms in humans with a prevalence of 3–10 % in adults. The aim of the diagnostic workup is the identification of potentially hormone-secreting and / or malignant tumors, because most of these tumors will require surgical resection. Malignant adrenocortical carcinomas (ACC) are very rare and associated with a poor prognosis in advanced stages, therefore, an early and accurate diagnosis is crucial.
Within this thesis, two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for the quantification of steroids in different biomaterials were developed to improve the diagnostic workup of adrenal tumors.
First, an LC-MS/MS method for the simultaneous quantification of cortisol and dexamethasone in serum samples after dexamethasone suppression test (DST) was developed, validated, and applied to 400 clinical samples. Newly established method-specific threshold concentrations for cortisol and dexamethasone increased DST specificity from 67.5 % to 92.4 % while preserving 100 % sensitivity.
Second, an LC-MS/MS method for the quantification of eleven urinary steroids was developed and validated to improve the differentiation between ACC and adrenocortical adenomas (ACA). A decision tree requiring only two steroids was trained for classification and tested based on 24 h urine samples from 268 patients with adrenal tumor. Malignancy was excluded with a negative predictive value of 100 % in an independent validation cohort of 84 samples of 24-h urine. A newly proposed simplified diagnostic workflow with urinary steroid profiling as first tier test could obviate additional adrenal-specific imaging in 42 of 64 patients with ACA.
The new DST method is already in clinical use at the University Hospital Würzburg, whereas the classification model based on urinary steroid profiling will require prospective validation in a larger cohort.
Context: Patients with primary adrenal insufficiency (PAI) or congenital adrenal hyperplasia (CAH) are at a high risk of adrenal crisis (AC). Glucocorticoid sensitivity is at least partially genetically determined by polymorphisms of the glucocorticoid receptor (GR).
Objectives: To determine if a number of intercurrent illnesses and AC are associated with the GR gene polymorphism \(Bcl\)I in patients with PAI and CAH.
Design and patients: This prospective, longitudinal study over 37.7 ± 10.1 months included 47 PAI and 25 CAH patients. During the study period, intercurrent illness episodes and AC were documented.
Results: The study period covered 223 patient years in which 21 AC occurred (9.4 AC/100 pat years). There were no significant differences between \(Bcl\)I polymorphisms (CC (n=29), CG (n=34) and GG (n=9)) regarding BMI, hydrocortisone equivalent daily dose and blood pressure. We did not find a difference in the number of intercurrent illnesses/patient year among \(Bcl\)I polymorphisms (CC (1.5±1.4/pat year), CG (1.2±1.2/pat year) and GG (1.6±2.2/pat year)). The occurrence of AC was not significantly different among the homozygous (GG) genotype (32.5 AC/100 pat years), the CC genotype (6.7 AC/100 pat years) and the CG genotype (4.9 AC/100 pat years). Concomitant hypothyroidism was the highest in the GG genotype group (5/9), compared to others (CC (11/29) and CG (11/34)).
Conclusions: Although sample sizes were relatively small and results should be interpreted with caution, this study suggests that the GR gene polymorphism \(Bcl\)I may not be associated with the frequencies of intercurrent illnesses and AC.
Background: The hypothalamus is an important brain region for the regulation of energy balance. Roux-en-Y gastric bypass (RYGB) surgery and gut hormone-based treatments are known to reduce body weight, but their effects on hypothalamic gene expression and signaling pathways are poorly studied. Methods: Diet-induced obese male Wistar rats were randomized into the following groups: RYGB, sham operation, sham + body weight-matched (BWM) to the RYGB group, osmotic minipump delivering PYY3-36 (0.1 mg/kg/day), liraglutide s.c. (0.4 mg/kg/day), PYY3-36 + liraglutide, and saline. All groups (except BWM) were kept on a free choice of high- and low-fat diets. Four weeks after interventions, hypothalami were collected for RNA sequencing. Results: While rats in the RYGB, BWM, and PYY3-36 + liraglutide groups had comparable reductions in body weight, only RYGB and BWM treatment had a major impact on hypothalamic gene expression. In these groups, hypothalamic leptin receptor expression as well as the JAK–STAT, PI3K-Akt, and AMPK signaling pathways were upregulated. No significant changes could be detected in PYY3-36 + liraglutide-, liraglutide-, and PYY-treated groups. Conclusions: Despite causing similar body weight changes compared to RYGB and BWM, PYY3-36 + liraglutide treatment does not impact hypothalamic gene expression. Whether this striking difference is favorable or unfavorable to metabolic health in the long term requires further investigation.