Universitätspublikationen
Filtern
Dokumenttyp
Sprache
- Englisch (4)
Volltext vorhanden
- ja (4)
Gehört zur Bibliographie
- nein (4) (entfernen)
Schlagworte
- heart (4) (entfernen)
Institut
- Medizin (4)
- Biochemie und Chemie (1)
A simple and fast method of lipid analysis of isolated intact mitochondria by means of MALDI-TOF mass spectrometry is described. Mitochondria isolated from bovine heart and yeast have been employed to set up and validate the new method of lipid analysis. The mitochondrial suspension is directly applied over the target and, after drying, covered by a thin layer of the 9-aminoacridine matrix solution. The lipid profiles acquired with this procedure contain all peaks previously obtained by analyzing the lipid extracts of isolated mitochondria by TLC and/or mass spectrometry. The novel procedure allows the quick, simple, precise, and accurate analysis of membrane lipids, utilizing only a tiny amount of isolated organelle; it has also been tested with intact membranes of the bacterium Paracoccus denitrificans for its evolutionary link to present-day mitochondria. The method is of general validity for the lipid analysis of other cell fractions and isolated organelles.
Background: Here we examined myocardial microRNA (miRNA) expression profile in a sensory neuropathy model with cardiac diastolic dysfunction and aimed to identify key mRNA molecular targets of the differentially expressed miRNAs that may contribute to cardiac dysfunction. Methods: Male Wistar rats were treated with vehicle or capsaicin for 3 days to induce systemic sensory neuropathy. Seven days later, diastolic dysfunction was detected by echocardiography, and miRNAs were isolated from the whole ventricles. Results: Out of 711 known miRNAs measured by miRNA microarray, the expression of 257 miRNAs was detected in the heart. As compared to vehicle-treated hearts, miR-344b, miR-466b, miR-98, let-7a, miR-1, miR-206, and miR-34b were downregulated, while miR-181a was upregulated as validated also by quantitative real time polymerase chain reaction (qRT-PCR). By an in silico network analysis, we identified common mRNA targets (insulin-like growth factor 1 (IGF-1), solute carrier family 2 facilitated glucose transporter member 12 (SLC2a-12), eukaryotic translation initiation factor 4e (EIF-4e), and Unc-51 like autophagy activating kinase 2 (ULK-2)) targeted by at least three altered miRNAs. Predicted upregulation of these mRNA targets were validated by qRT-PCR. Conclusion: This is the first demonstration that sensory neuropathy affects cardiac miRNA expression network targeting IGF-1, SLC2a-12, EIF-4e, and ULK-2, which may contribute to cardiac diastolic dysfunction. These results further support the need for unbiased omics approach followed by in silico prediction and validation of molecular targets to reveal novel pathomechanisms.
Cardiac fibroblasts constitute a major cell population in the heart. They secrete extracellular matrix components and various other factors shaping the microenvironment of the heart. In silico analysis of intercellular communication based on single-cell RNA sequencing revealed that fibroblasts are the source of the majority of outgoing signals to other cell types. This observation suggests that fibroblasts play key roles in orchestrating cellular interactions that maintain organ homeostasis but that can also contribute to disease states. Here, we will review the current knowledge of fibroblast interactions in the healthy, diseased, and aging heart. We focus on the interactions that fibroblasts establish with other cells of the heart, specifically cardiomyocytes, endothelial cells and immune cells, and particularly those relying on paracrine, electrical, and exosomal communication modes.
Background: To analyze postoperative, in-hospital, complication rates in patients with organ transplantation before radical prostatectomy (RP). Methods: From National Inpatient Sample (NIS) database (2000–2015) prostate cancer patients treated with RP were abstracted and stratified according to prior organ transplant versus nontransplant. Multivariable logistic regression models predicted in-hospital complications. Results: Of all eligible 202,419 RP patients, 216 (0.1%) underwent RP after prior organ transplantation. Transplant RP patients exhibited higher proportions of Charlson comorbidity index ≥2 (13.0% vs. 3.0%), obesity (9.3% vs. 5.6%, both p < 0.05), versus to nontransplant RP. Of transplant RP patients, 96 underwent kidney (44.4%), 44 heart (20.4%), 40 liver (18.5%), 30 (13.9%) bone marrow, <11 lung (<5%), and <11 pancreatic (<5%) transplantation before RP. Within transplant RP patients, rates of lymph node dissection ranged from 37.5% (kidney transplant) to 60.0% (bone marrow transplant, p < 0.01) versus 51% in nontransplant patients. Regarding in-hospital complications, transplant patients more frequently exhibited, diabetic (31.5% vs. 11.6%, p < 0.001), major (7.9% vs. 2.9%) cardiac complications (3.2% vs. 1.2%, p = 0.01), and acute kidney failure (5.1% vs. 0.9%, p < 0.001), versus nontransplant RP. In multivariable logistic regression models, transplant RP patients were at higher risk of acute kidney failure (odds ratio [OR]: 4.83), diabetic (OR: 2.81), major (OR: 2.39), intraoperative (OR: 2.38), cardiac (OR: 2.16), transfusion (OR: 1.37), and overall complications (1.36, all p < 0.001). No in-hospital mortalities were recorded in transplant patients after RP. Conclusions: Of all transplants before RP, kidney ranks first. RP patients with prior transplantation have an increased risk of in-hospital complications. The highest risk, relative to nontransplant RP patients appears to acute kidney failure.