Cardiovascular comorbidities are independent risk factors for mortality in dialysis patients. MicroRNA signaling has an important role in vascular aging and cardiac health, while physical activity is a primary nonpharmacologic treatment for cardiovascular comorbidities in dialysis patients. To identify the relationships between muscle function, miRNA signaling pathways, the presence of vascular calcifications and the severity of cardiovascular comorbidities, we initially enrolled 90 subjects on hemodialysis therapy and collected complete data from 46 subjects. A group of 26 subjects inactiv group (INC) was monitored during 12 weeks of physical inactivity and another group of 20 patients exercise group (EXC) was followed during 12 weeks of intradialytic, moderate intensity, resistance training intervention applied three times per week. In both groups, we assessed the expression levels of myo-miRNAs, proteins, and muscle function (MF) before and after the 12-week period. Data on the presence of vascular calcifications and the severity of cardiac comorbidities were collected from the patients' EuCliD® records. Using a full structural equitation modelling of the total study sample, we found that the higher the increase in MF was observed in patients, the higher the probability of a decrease in the expression of miR-206 and TRIM63 and the lower severity of cardiac comorbidities. A reduced structural model in INC patients showed that the higher the decrease in MF, the higher the probability of the presence of calcifications and the higher severity of cardiac comorbidities. In EXC patients, we found that the higher the increase in MF, the lower the probability of higher severity of cardiovascular comorbidities.
- Keywords
- calcification, cardiovascular health, dialysis, exercise, inactivity, microRNA,
- MeSH
- Endothelium, Vascular metabolism MeSH
- Exercise physiology MeSH
- Renal Dialysis * MeSH
- Cardiovascular Diseases blood genetics therapy MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs biosynthesis blood genetics MeSH
- Sedentary Behavior MeSH
- Aged MeSH
- Gene Expression Profiling methods MeSH
- Aging blood genetics MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- MicroRNAs MeSH
Congestive heart failure affects about 23 million people worldwide, and cardiac allograft transplantation remains one of the last options for patients with terminal refractory heart failure. Besides the infectious or oncological complications, the prognosis of patients after heart transplantation is affected by acute cellular or antibody-mediated rejection and allograft vasculopathy development. Current monitoring of both conditions requires the performance of invasive procedures (endomyocardial biopsy sampling and coronary angiography or optical coherence tomography, respectively) that are costly, time-demanding, and non-comfortable for the patient. Within this narrative review, we focus on the potential pathophysiological and clinical roles of microRNAs (miRNAs, miRs) in the field of cardiac allograft transplantation. Firstly, we provide a general introduction about the status of cardiac allograft function monitoring and the discovery of miRNAs as post-transcriptional regulators of gene expression and clinically relevant biomarkers found in the extracellular fluid. After this general introduction, information from animal and human studies are summarized to underline the importance of miRNAs both in the pathophysiology of the rejection process, the possibility of its modulation by altering miRNAs levels, and last but not least, about the use of miRNAs in the clinical practice to diagnose or predict the rejection occurrence.
- Keywords
- acute cellular rejection, biomarker, cardiac allograft transplantation, microRNA, vasculopathy,
- MeSH
- Allografts metabolism MeSH
- Biomarkers metabolism MeSH
- Transplantation, Homologous methods MeSH
- Humans MeSH
- MicroRNAs metabolism MeSH
- Disease Models, Animal MeSH
- Myocardium metabolism MeSH
- Heart Transplantation methods MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Names of Substances
- Biomarkers MeSH
- MicroRNAs MeSH
The miRNA-206 and miRNA-23a play an important role in muscle tissue hypertrophy, regeneration and atrophy. Both of these miRNAs have been highlighted as promising adaptation predictors; however, the available evidence on associations is inconclusive. Therefore, our aim was to assess the expression levels of these two miRNAs as predictors of change in muscle function during strength training and physical inactivity among dialysed patients. For this purpose, 46 haemodialysis patients were monitored for 12-weeks of either intradialytic strength training (EXG, n = 20) or physical inactivity during dialysis (CON, n = 26). In both groups of patients, we assessed the baseline expression levels of miRNA-23a and miRNA-206 and the isometric force generated during hip flexion (HF) contraction before and after the 12-week period. Among the EXG group, the expression of miRNA-206 predicted the change in HF (R2 = 0.63, p = 0.0005) much more strongly than the expression of miRNA-23a (R2 = 0.21, p = 0.027). Interestingly, baseline miRNA-23a (R2 = 0.30, p = 0.006) predicted the change in HF much more than miRNA-206 (p = ns) among the CON group. Our study indicates that the baseline expression of miRNA-206 could predict the response to strength training, while miRNA-23a could serve as a potential predictive marker of functional changes during physical inactivity in dialysis patients.
- MeSH
- Biomarkers analysis MeSH
- Renal Dialysis methods MeSH
- Adaptation, Physiological MeSH
- Physical Conditioning, Animal * MeSH
- Muscle, Skeletal metabolism physiopathology MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs analysis genetics MeSH
- Resistance Training * MeSH
- Sedentary Behavior * MeSH
- Aged MeSH
- Case-Control Studies MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Biomarkers MeSH
- MicroRNAs MeSH