Association of long-chain non-coding RNA MHRT gene single nucleotide polymorphism with risk and prognosis of chronic heart failure.
Ontology highlight
ABSTRACT:
SUBMITTER: Zhang G
PROVIDER: S-EPMC7373586 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
Association of long-chain non-coding RNA MHRT gene single nucleotide polymorphism with risk and prognosis of chronic heart failure.
Zhang Gao G Dou Liping L Chen Yuanyuan Y
Medicine 20200701 29
Long-chain non-coding RNA (lncRNA) Myosin Heavy Chain Associated RNA Transcripts (MHRT) are newly identified cardioprotective lncRNAs. In this study, we investigated the association of MHRT gene single nucleotide polymorphisms with risk and prognosis of chronic heart failure (CHF).Sanger sequencing was performed to detect the genotypes of rs3729830, rs7140721, rs76614781, rs3729829, rs3729828, rs3729825, and rs3729822 loci in the non-coding region of the MHRT gene from 240 patients with CHF and ...[more]
Similar Datasets
Project description:This study sought to evaluate the potential of circulating long non-coding RNAs (lncRNAs) as biomarkers for heart failure (HF). We measured the circulating levels of 13 individual lncRNAs which are known to be relevant to cardiovascular disease in the plasma samples from 72 HF patients and 60 non-HF control participants using real-time reverse transcription-polymerase chain reaction (real-time RT-PCR) methods. We found that out of the 13 lncRNAs tested, non-coding repressor of NFAT (NRON) and myosin heavy-chain-associated RNA transcripts (MHRT) had significantly higher plasma levels in HF than in non-HF subjects: 3.17 ± 0.30 versus 1.0 ± 0.07 for NRON (P < 0.0001) and 1.66 ± 0.14 versus 1.0 ± 0.12 for MHRT (P < 0.0001). The area under the ROC curve was 0.865 for NRON and 0.702 for MHRT. Univariate and multivariate analyses identified NRON and MHRT as independent predictors for HF. Spearman's rank correlation analysis showed that NRON was negatively correlated with HDL and positively correlated with LDH, whereas MHRT was positively correlated with AST and LDH. Hence, elevation of circulating NRON and MHRT predicts HF and may be considered as novel biomarkers of HF.
| S-EPMC5571539 | biostudies-literature
Project description:ObjectiveTo study the association between single-nucleotide polymorphism (SNP) of long-chain non-coding RNA steroid receptor RNA activator (lncRNA SRA1) gene and polycystic ovary syndrome (PCOS) susceptibility.MethodsSanger sequencing was used to analyze the genotypes of the lncRNA SRA1 gene rs801460, rs10463297, and rs250426 in 315 PCOS patients and 315 control groups.ResultsThere was no correlation between lncRNA SRA1 gene rs801460, rs250426 SNP, and PCOS susceptibility (p > 0.05). The T allele at the rs10463297 locus of the SRA1 gene has a lower risk of PCOS than the C allele (OR = 0.63, 95%CI: 0.50-0.79, p < 0.01). Among people with a BMI ≥ 26.5 kg/m2, when carrying the TC genotype and CC genotype at rs801460, the risk of PCOS susceptibility was lower than the TT genotype (OR = 0.54, 95%CI: 0.33-0.89, p = 0.02). At different ages and BMI stratifications, there was a significant association between rs10463297 SNP and PCOS susceptibility (p < 0.05). Multi-factor dimensionality reduction (MDR) analysis results showed that age, BMI, rs801460, rs10463297, and rs250426 interactions constitute a "high-risk combination." PCOS susceptibility risk was 5.96 times that of a "low-risk combination" (95%CI: 4.14-8.56, p < 0.01). SRA1 gene rs801460, rs10463297, rs250426 constructed TCT haplotype was associated with increased risk of PCOS susceptibility (OR = 1.66, 95%CI: 1.20-2.30, p < 0.01); the CTT haplotype was associated with a decreased risk of PCOS susceptibility (OR = 0.56, 95%CI: 0.36-0.87, p = 0.01). LncRNA SRA1 gene rs10463297 SNP was correlated with the level of lncRNA SRA1 in the peripheral blood leukocytes (p < 0.01).ConclusionFrom this study, we found that the lncRNA SRA1 gene rs10463297 SNP is associated with PCOS susceptibility.
| S-EPMC7550517 | biostudies-literature
Project description:BACKGROUND: Previous studies have shown the occurrence of actinin-3 deficiency in the presence of the R577X polymorphism in the ACTN3 gene. Our hypothesis is that this deficiency, by interfering with the function of skeletal muscle fiber, can result in a worse prognosis in patients with chronic heart failure. METHODS: A prospective cohort study was conducted from 2002 to 2004. The eligibility criteria included diagnosis of chronic heart failure stage C from different etiologies. We excluded all patients with concomitant disease that could be related to poor prognosis. ACTN3 rs1815739 (R577X) polymorphism was detected by high resolution melting analysis. Survival curves were calculated with the Kaplan-Meier method and evaluated with the log-rank statistic. The relationship between the baseline variables and the composite end-point of all-cause death was assessed using a Cox proportional hazards survival model. RESULTS: A total of 463 patients were included in this study. The frequency of the ACTN3 577X variant allele was 39.0%. The LVEF mean was 45.6 ± 18.7% and the most common etiology of this study was hypertensive. After a follow-up of five years, 239 (51.6%) patients met the pre-defined endpoint. Survival curves showed higher mortality in patients carrying RX or XX genotypes compared with patients carrying RR genotype (p = 0.01). CONCLUSION: R577X polymorphism in the ACTN3 gene was independently associated with worse survival in patients with chronic heart failure. Further studies are necessary to ensure its use as a marker of prognosis for this syndrome.
| S-EPMC4113663 | biostudies-literature
Project description:BackgroundIn patients with chronic heart failure (CHF), comorbidities are often managed with multiple medications, characterized by polypharmacy, leading to increased risk of potentially inappropriate medication and adverse effects.MethodsWe studied 4,876 consecutive patients with CHF (Stage C/D, age 69.0 ± 12.3 years) in the CHART-2 study to evaluate the association among polypharmacy, underuse of HF medications, and all-cause death. Polypharmacy was defined as the daily use of ≥ 8 medications for the survival classification and regression tree analysis.ResultsThe average number of medications was 10 in the polypharmacy group and 5 in the non-polypharmacy group, respectively. Over a median of 8.3 (4.1-11.7) years, the incidence rate of all-cause death was significantly higher in the polypharmacy group (n = 2,108) than in the non-polypharmacy group (57.3 % vs. 40.6 %; adjusted hazard ratio [aHR] 1.34 (95 %CI, 1.22-1.48), P < 0.001), even in age < 55 years (26.6 % vs. 14.3 %; adjusted hazard ratio [aHR] 1.61 (95 %CI, 1.04-2.50), P = 0.033). In patients with polypharmacy, those without renin-angiotensin system inhibitors (RAS-I) and/or beta-blockers (N = 1,023) were associated with increased incidence of all-cause death as compared with those with both medications (aHR 1.18; 95 %CI 1.04-1.35, P = 0.012).ConclusionsPolypharmacy was associated with poor long-term prognosis, even in younger patients with CHF. Among 4,876 patients with CHF, 1023 (20.9%) with polypharmacy and underuse of RAS-I and/or beta-blocker were associated with increased risk of all-cause death.
| S-EPMC10835349 | biostudies-literature
Project description:Heart failure (HF) is a complex disease in which cardiomyocyte injury leads to a cascade of inflammatory and fibrosis pathway activation, thereby causing decrease in cardiac function. As a result, several biomolecules are released which can be identified easily in circulating body fluids. The complex biological processes involved in the development and worsening of HF require an early treatment strategy to stop deterioration of cardiac function. Circulating biomarkers provide not only an ideal platform to detect subclinical changes, their clinical application also offers the opportunity to monitor disease treatment. Many of these biomarkers can be quantified with high sensitivity; allowing their clinical application to be evaluated beyond diagnostic purposes as potential tools for HF prognosis. Though the field of biomarkers is dominated by protein molecules, non-coding RNAs (microRNAs, long non-coding RNAs, and circular RNAs) are novel and promising biomarker candidates that encompass several ideal characteristics required in the biomarker field. The application of genetic biomarkers as genetic risk scores in disease prognosis, albeit in its infancy, holds promise to improve disease risk estimation. Despite the multitude of biomarkers that have been available and identified, the majority of novel biomarker candidates are not cardiac-specific, and instead may simply be a readout of systemic inflammation or other pathological processes. Thus, the true value of novel biomarker candidates in HF prognostication remains unclear. In this article, we discuss the current state of application of protein, genetic as well as non-coding RNA biomarkers in HF risk prognosis.
| S-EPMC7719677 | biostudies-literature
Project description:The objective of this study was to compare the physiological determinants of ejection fraction (EF)-ventricular size, contractile function, and ventricular-arterial (VA) interaction-and their associations with clinical outcomes in chronic heart failure (HF).EF is a potent predictor of HF outcomes, but represents a complex summary measure that integrates several components including left ventricular size, contractile function, and VA coupling. The relative importance of each of these parameters in determining prognosis is unknown.In 466 participants with chronic systolic HF, we derived quantitative echocardiographic measures of EF: cardiac size (end-diastolic volume [EDV]); contractile function (the end-systolic pressure volume relationship slope [Eessb] and intercept [V0]); and VA coupling (arterial elastance [Ea]/Eessb). We determined the association between these parameters and the following adverse outcomes: 1) the combined endpoint of death, cardiac transplantation, or ventricular assist device (VAD) placement; and 2) cardiac hospitalization.Over a median follow-up of 3.4 years, there were 76 deaths, 52 transplantations, 14 VAD placements, and 684 cardiac hospitalizations. EF was independently associated with death, transplantation, and VAD placement (adjusted hazard ratio [HR]: 3.0; 95% confidence interval [CI]: 1.8 to 5.0 comparing third and first tertiles), as were EDV (HR: 2.6; 95% CI: 1.5 to 4.2); V0 (HR: 3.6; 95% CI: 2.1 to 6.1); and Ea/Eessb (HR: 2.1; 95% CI: 1.3 to 3.3). EDV, V0, and Ea/Eessb were also associated with risk of cardiac hospitalization. Eessb was not significantly associated with any adverse outcomes in adjusted analyses.Left ventricular size, V0, and VA coupling are associated with prognosis in systolic HF, but end-systolic elastance (Eessb) is not. Assessment of VA coupling via Ea/Eessb is an additional noninvasively derived metric that can be used to gauge prognosis in human HF.
| S-EPMC3943424 | biostudies-literature
Project description:Long intergenic non-coding RNAs (lincRNAs) are emerging as important regulatory molecules involved in diseases including heart failure. However, little is known about how the lincRNAs work together with protein-coding genes (PCGs) contributing to the pathogenesis of heart failure. In this study, we constructed a comprehensive transcriptome profile of lincRNAs, PCGs and miRNAs using RNA-seq and miRNA-seq data of 16 heart failure patients (HFs) and 8 non-failing individuals (NFs). Through integrating lincRNA and PCG expression profiles, we identified HF-associated lincRNA modules. We identified a heart-specific lincRNA module which was significantly enriched for differentially expressed lincRNAs and PCGs. This module was associated with heart failure rather than with other clinical traits such as sex, age, smoking and diabetes mellitus. Moreover, the module was significantly correlated with certain indicators of left ventricular function like ejection fraction and left ventricular end-diastolic diameter, implying the potential of its components as crucial biomarkers. Apart from enhancer-like function, lincRNAs in this module could act as competing endogenous RNAs (ceRNAs) to regulate genes which were associated with left-ventricular systolic function. Our work provided deep insights into the critical roles of lincRNAs in the pathology of heart failure and suggested that they could be valuable biomarkers and therapeutic targets.
| S-EPMC5312340 | biostudies-literature
Project description:BACKGROUND:Chronic heart failure (CHF) is the most common reason for hospital admissions in Germany. For the National Disease Management Guideline (NDMG) on CHF, a multidisciplinary expert panel revised the chapters on drug therapy, invasive therapy, and care coordination, following the methods of evidence-based medicine. METHODS:Recommendations are based on international guideline adaptations or systematic literature search. They were developed by a multidisciplinary expert panel, approved in a formal consensus procedure, and tested in open consultation, as specified by the requirements for S3 guidelines. RESULTS:The pharmacological treatment is based on ACE inhibitors, beta-blockers and mineralocorticoid receptor antagonists as well as diuretics to treat fluid retention, if present. Sacubitril/Valsartan and ivabradine showed positive effects on mortality in large but methodologically limited RCT. They are recommended if established combination therapy is not sufficient for symptom control, or if drugs are not tolerated/contraindicated. The indications for pacemakers or defibrillators have been confined to patient subgroups in which clinical trials have shown a clear benefit. Moreover, the goals of treatment and the patient's expectations should be aligned with each other. Structured care programs, specialized nurses, remote, or telephone monitoring showed moderate effects on patient related outcomes in RCT. CONCLUSION:All patients with heart failure are suggested to be enrolled in a structured program (e.g., a disease management program) including coordinated multidisciplinary care and continuous educational interventions. In patients with a poor prognosis, more intensive care is recommended, e.g. specialized nurses, or telephone support.
| S-EPMC5852309 | biostudies-other
Project description:AimsRisk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF).Methods and resultsWe described the pattern of behaviour among 7496 consecutive patients assessed for suspected HF. The following mutually exclusive health states were defined and assessed every 4 months: death, hospitalization, outpatient visit, no event, and leaving the service altogether (defined as no event at any point following assessment). The observed figures at the first transition (4 months) weres 427 (6%), 1559 (21%), 2254 (30%), 1414 (19%), and 1842 (25%), respectively. The probabilities derived from the first two transitions (i.e. from baseline to 4 months and from 4 to 8 months) were used to construct the model. An example of the model's prediction is that at cycle 4, the cumulative probability of death was 14%; leaving the system, 37%; being hospitalized between 12 and 16 months, 10%; having an outpatient visit, 8%; and having no event, 31%. The corresponding observed figures were 14%, 41%, 10%, 15%, and 21%, respectively. The model predicted that during the first 2 years, a patient had a probability of dying of 0.19, and the observed value was 0.18.ConclusionsA model derived from the first 8 months of follow-up is strongly predictive of future events in a population of patients with chronic heart failure. The course of CHF is more linear than is commonly supposed, and thus more predictable.
| S-EPMC9715820 | biostudies-literature
Project description:In the heart, primary microRNA-208b (pri-miR-208b) and Myheart (Mhrt) are long non-coding RNAs (lncRNAs) encoded by the cardiac myosin heavy chain genes. Although preclinical studies have shown that lncRNAs regulate gene expression and are protective for pathological hypertrophy, the mechanism underlying sex-based differences remains poorly understood. In this study, we examined DNA- and RNA-methylation-dependent regulation of pri-miR-208b and Mhrt. Expression of pri-miR-208b is elevated in the left ventricle of the female heart. Despite indistinguishable DNA methylation between sexes, the interaction of MeCP2 on chromatin is subject to RNase digestion, highlighting that affinity of the methyl-CG reader is broader than previously thought. A specialized procedure to isolate RNA from soluble cardiac chromatin emphasizes sex-based affinity of an MeCP2 co-repressor complex with Rest and Hdac2. Sex-specific Mhrt methylation chromatinizes MeCP2 at the pri-miR-208b promoter and extends the functional relevance of default transcriptional suppression in the heart.
| S-EPMC6639684 | biostudies-literature