scholarly journals Combined detection of miR-21-5p, miR-30a-3p, miR-30a-5p, miR-155-5p, miR-216a and miR-217 for screening of early heart failure diseases

2020 ◽  
Vol 40 (3) ◽  
Author(s):  
Han Ding ◽  
Yin Wang ◽  
Longgang Hu ◽  
Sheng Xue ◽  
Yu Wang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Expression Profiles ◽  
Healthy Controls ◽  
Diagnostic Biomarker ◽  
Specific Expression ◽  
Circulating Micrornas ◽  
Heart Failure Patients ◽  
Real Time Quantitative Pcr ◽  
Combined Detection ◽  
Normal Controls

Abstract The use of circulating microRNAs as biomarkers opens up new opportunities for the diagnosis of cardiovascular diseases because of their specific expression profiles. The aim of the present study was to identify circulating microRNAs in human plasma as potential biomarkers of heart failure and related diseases. We used real-time quantitative PCR to screen microRNA in plasma samples from 62 normal controls and 62 heart failure samples. We found that circulating miR-21-5p, miR-30a-3p, miR-30a-5p, miR-155-5p, miR-216a and miR-217 expressed differently between healthy controls and heart failure patients. Plasma levels of miR-21-5p, miR-30a-3p, miR-30a-5p, miR-155-5p, miR-216a and miR-217 were unaffected by hemolysis. Correlation analysis showed any two of these miRNAs possess a strong correlation, indicating a possibility of combined analysis. MiR-21-5p, miR-30a-3p, miR-30a-5p, miR-155-5p, miR-216a and miR-217 could be combined in two or three or more combinations. The results suggest that miR-21-5p, miR-30a-3p, miR-30a-5p, miR-155-5p, miR-216a and miR-217 may be a new diagnostic biomarker for heart failure and related diseases.

scholarly journals Circulating miR-132-3p as a Candidate Diagnostic Biomarker for Malignant Mesothelioma

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Daniel G. Weber ◽  
Katarzyna Gawrych ◽  
Swaantje Casjens ◽  
Alexander Brik ◽  
Martin Lehnert ◽  
...  
Keyword(s):  
Malignant Mesothelioma ◽  
Smoking Status ◽  
Expression Profiles ◽  
Plasma Samples ◽  
Diagnostic Biomarker ◽  
Quantitative Real Time Pcr ◽  
Specific Expression ◽  
Circulating Micrornas ◽  
Diagnosis Of Cancer ◽  
Potential Biomarkers

The use of circulating microRNAs as biomarkers has opened new opportunities for diagnosis of cancer because microRNAs exhibit tumor-specific expression profiles. The aim of this study was the identification of circulating microRNAs in human plasma as potential biomarkers for the diagnosis of malignant mesothelioma. For discovery, TaqMan Low Density Array Human MicroRNA Cards were used to analyze 377 microRNAs in plasma samples from 21 mesothelioma patients and 21 asbestos-exposed controls. For verification, individual TaqMan microRNA assays were used for quantitative real-time PCR in plasma samples from 22 mesothelioma patients and 44 asbestos-exposed controls. The circulating miR-132-3p showed different expression levels between mesothelioma patients and asbestos-exposed controls. For discrimination, sensitivity of 86% and specificity of 61% were calculated. Circulating miR-132-3p in plasma was not affected by hemolysis and no impact of age or smoking status on miR-132-3p levels could be observed. For the combination of miR-132-3p with the previously described miR-126, sensitivity of 77% and specificity of 86% were calculated. The results of this study indicate that miR-132-3p might be a new promising diagnostic biomarker for malignant mesothelioma. It is indicated that the combination of miR-132-3p with other individual biomarkers improves the biomarker performance.

scholarly journals Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ping Cao ◽  
Bailu Ye ◽  
Linghui Yang ◽  
Fei Lu ◽  
Luping Fang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Chronic Heart Failure ◽  
Characteristic Curve ◽  
Clinical Analysis ◽  
Healthy Controls ◽  
Heart Failure Patients ◽  
Rr Interval ◽  
Frequency Components

Objective. The deceleration capacity (DC) and acceleration capacity (AC) of heart rate, which are recently proposed variants to the heart rate variability, are calculated from unevenly sampled RR interval signals using phase-rectified signal averaging. Although uneven sampling of these signals compromises heart rate variability analyses, its effect on DC and AC analyses remains to be addressed. Approach. We assess preprocessing (i.e., interpolation and resampling) of RR interval signals on the diagnostic effect of DC and AC from simulation and clinical data. The simulation analysis synthesizes unevenly sampled RR interval signals with known frequency components to evaluate the preprocessing performance for frequency extraction. The clinical analysis compares the conventional DC and AC calculation with the calculation using preprocessed RR interval signals on 24-hour data acquired from normal subjects and chronic heart failure patients. Main Results. The assessment of frequency components in the RR intervals using wavelet analysis becomes more robust with preprocessing. Moreover, preprocessing improves the diagnostic ability based on DC and AC for chronic heart failure patients, with area under the receiver operating characteristic curve increasing from 0.920 to 0.942 for DC and from 0.818 to 0.923 for AC. Significance. Both the simulation and clinical analyses demonstrate that interpolation and resampling of unevenly sampled RR interval signals improve the performance of DC and AC, enabling the discrimination of CHF patients from healthy controls.

scholarly journals Prognostic value of circulating microRNAs on heart failure-related morbidity and mortality in two large diverse cohorts of general heart failure patients

2017 ◽  
Vol 20 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Antoni Bayés-Genis ◽  
David E. Lanfear ◽  
Maurice W.J. de Ronde ◽  
Josep Lupón ◽  
Joost J. Leenders ◽  
...  
Keyword(s):  
Heart Failure ◽  
Prognostic Value ◽  
Morbidity And Mortality ◽  
Circulating Micrornas ◽  
Heart Failure Patients

scholarly journals Lipolytic Effects of B-Type Natriuretic Peptide1–32 in Adipose Tissue of Heart Failure Patients Compared With Healthy Controls

2011 ◽  
Vol 58 (11) ◽  
pp. 1119-1125 ◽  
Author(s):  
Jan Polak ◽  
Martin Kotrc ◽  
Zuzana Wedellova ◽  
Antonin Jabor ◽  
Ivan Malek ◽  
...  
Keyword(s):  
Heart Failure ◽  
Adipose Tissue ◽  
Healthy Controls ◽  
Heart Failure Patients

scholarly journals Circular RNA Expression Profiles in Plasma from Patients with Heart Failure Related to Platelet Activity

Biomolecules ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 187 ◽  
Author(s):  
Yeying Sun ◽  
Xiaoli Jiang ◽  
Yan Lv ◽  
Xinyue Liang ◽  
Bingrui Zhao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Expression Profiles ◽  
Roc Curves ◽  
Serum Levels ◽  
Circular Rna ◽  
Diagnostic Value ◽  
Circular Rnas ◽  
Healthy Controls ◽  
Platelet Activity ◽  
Pathway Analyses

Heart failure (HF) is a deadly disease that is difficult to accurately diagnose. Circular RNAs (circRNAs) are a novel class of noncoding RNAs that might play important roles in many cardiovascular diseases. However, their role in HF remains unclear. CircRNA microarrays were performed on plasma samples obtained from three patients with HF and three healthy controls. The profiling results were validated by quantitative reverse transcription polymerase chain reaction. The diagnostic value of circRNAs for HF was evaluated by receiver operating characteristic (ROC) curves. The expression profiles indicated that 477 circRNAs were upregulated and 219 were downregulated in the plasma of patients with HF compared with healthy controls. Among the dysregulated circRNAs, hsa_circ_0112085 (p = 0.0032), hsa_circ_0062960 (p = 0.0006), hsa_circ_0053919 (p = 0.0074) and hsa_circ_0014010 (p = 0.025) showed significantly higher expression in patients with HF compared with healthy controls. The area under the ROC curve for hsa_circ_0062960 for HF diagnosis was 0.838 (p < 0.0001). Correlation analysis showed that the expression of hsa_circ_0062960 was highly correlated with B-type natriuretic peptide (BNP) serum levels. Some differential circRNAs were found to be related to platelet activity by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The landscape of circRNA expression profiles may play a role in HF pathogenesis and improve our understanding of platelet function in HF. Moreover, hsa_circ_0062960 has potential as a novel diagnostic biomarker for HF.

Microarray analysis reveals pivotal divergent mRNA expression profiles early in the development of either compensated ventricular hypertrophy or heart failure

2005 ◽  
Vol 21 (3) ◽  
pp. 314-323 ◽  
Author(s):  
Henk P. J. Buermans ◽  
Everaldo M. Redout ◽  
Anja E. Schiel ◽  
René J. P. Musters ◽  
Marian Zuidwijk ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Ventricular Remodeling ◽  
Contractile Function ◽  
Pyrrolizidine Alkaloid ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Pressure Overload ◽  
High Dose ◽  
Specific Expression

Myocardial right ventricular (RV) hypertrophy due to pulmonary hypertension is aimed at normalizing ventricular wall stress. Depending on the degree of pressure overload, RV hypertrophy may progress to a state of impaired contractile function and heart failure, but this cannot be discerned during the early stages of ventricular remodeling. We tested whether critical differences in gene expression profiles exist between ventricles before the ultimate development of either a compensated or decompensated hypertrophic phenotype. Both phenotypes were selectively induced in Wistar rats by a single subcutaneous injection of either a low or a high dose of the pyrrolizidine alkaloid monocrotaline (MCT). Spotted oligonucleotide microarrays were used to investigate pressure-dependent cardiac gene expression profiles at 2 wk after the MCT injections, between control rats and rats that would ultimately develop either compensated or decompensated hypertrophy. Clustering of significantly regulated genes revealed specific expression profiles for each group, although the degree of hypertrophy was still similar in both. The ventricles destined to progress to failure showed activation of pro-apoptotic pathways, particularly related to mitochondria, whereas the group developing compensated hypertrophy showed blocked pro-death effector signaling via p38-MAPK, through upregulation of MAPK phosphatase-1. In summary, we show that, already at an early time point, pivotal differences in gene expression exist between ventricles that will ultimately develop either a compensated or a decompensated phenotype, depending on the degree of pressure overload. These data reveal genes that may provide markers for the early prediction of clinical outcome as well as potential targets for early intervention.

scholarly journals Identification and Characterization of the APX Gene Family and Its Expression Pattern under Phytohormone Treatment and Abiotic Stress in Populus trichocarpa

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 334
Author(s):  
Xue Leng ◽  
Hanzeng Wang ◽  
Shuang Zhang ◽  
Chunpu Qu ◽  
Chuanping Yang ◽  
...  
Keyword(s):  
Abiotic Stress ◽  
Gene Family ◽  
Stress Responses ◽  
Expression Profiles ◽  
Populus Trichocarpa ◽  
Ammonium Concentration ◽  
Cis Elements ◽  
Specific Expression ◽  
Real Time Quantitative Pcr ◽  
Gene Structures

Ascorbate peroxidase (APX) is a member of class I of the heme-containing peroxidase family. The enzyme plays important roles in scavenging reactive oxygen species for protection against oxidative damage and maintaining normal plant growth and development, as well as in biotic stress responses. In this study, we identified 11 APX genes in the Populus trichocarpa genome using bioinformatic methods. Phylogenetic analysis revealed that the PtrAPX proteins were classifiable into three clades and the members of each clade shared similar gene structures and motifs. The PtrAPX genes were distributed on six chromosomes and four segmental-duplicated gene pairs were identified. Promoter cis-elements analysis showed that the majority of PtrAPX genes contained a variety of phytohormone- and abiotic stress-related cis-elements. Tissue-specific expression profiles indicated that the PtrAPX genes primarily function in roots and leaves. Real-time quantitative PCR (RT-qPCR) analysis indicated that PtrAPX transcription was induced in response to drought, salinity, high ammonium concentration, and exogenous abscisic acid treatment. These results provide important information on the phylogenetic relationships and functions of the APX gene family in P. trichocarpa.

scholarly journals The Potential Role of Long Noncoding RNAs in Primary Open-Angle Glaucoma

2019 ◽  
Author(s):  
Feng Zhang ◽  
Yang Zhao ◽  
Mengdan Cao ◽  
Xu Jia ◽  
Zheng Pan ◽  
...  
Keyword(s):  
Real Time ◽  
Quantitative Pcr ◽  
Noncoding Rna ◽  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Expression Profiles ◽  
Open Angle ◽  
Real Time Quantitative Pcr ◽  
Microarray Analyses ◽  
Normal Controls

Abstract Background To identify the potential genes in human trabecular meshwork (TM) related to primary open-angle glaucoma (POAG). At first, long noncoding RNA (LncRNA) and mRNA expression profiles in TM samples from 4 control subjects and POAG patients were accessed by microarray analyses. Then, twenty lncRNAs were validated by real-time quantitative PCR in the same samples from microarray analyses. Finally, eight highly expression lncRNAs were further tested by real-time quantitative PCR in TM from 8 normal controls and 19 POAG patients. Expression data were normalized and analyzed using the R software. Pathway analyses were performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis.Results: A total of 2179 lncRNAs and 923 mRNAs in the TM of POAG patients were significantly up-regulated, and 3111 lncRNAs and 887 mRNAs were significantly down-regulated. ENST00000552367, ENST00000582505, ENST00000609130, NR_029395, NR_038379, and ENST00000586949 expression levels were significantly higher in the TM from a different cohort of POAG patient than normal controls.Conclusion: ENST00000552367, ENST00000582505, ENST000006091- 30, NR_029395, NR_038379, and ENST00000586949 may play essential roles in the development of POAG.

scholarly journals QRS Complex Wavelet Analysis Can Distinguish Patients with and without Heart Failure, in the Presence of Left Bundle Branch Block

2020 ◽  
pp. 1-6
Author(s):  
Kalliopi Papathoma ◽  
Anastasios Tsarouchas ◽  
Dimitrios Mouselimis ◽  
Efstratios Theofilogiannakos ◽  
Eleni Christaina ◽  
...  
Keyword(s):  
Heart Failure ◽  
Wavelet Analysis ◽  
Structural Heart Disease ◽  
Healthy Controls ◽  
Healthy Individuals ◽  
Qrs Complex ◽  
Bundle Branch Block ◽  
Time Frequency ◽  
Heart Failure Patients ◽  
The Mean

Background: Left bundle branch block (LBBB) in heart failure (HF) patients is a negative predictor of survival. This pattern is occasionally recorded in individuals without structural heart disease. The LBBB morphology has not been previously analyzed in a time-frequency domain using wavelet analysis), and thus the factors distinguish LBBB patients from individuals without structural heart disease remain unexplored. The purpose of this analysis was to investigate the variations and the differences in LBBB morphology between healthy individuals with LBBB and patients with HF and LBBB. Methods: HF patients with LBBB and individuals with LBBB were included in this study. Signal-averaged 90-second Holter monitor recordings were extracted from each subject in orthogonal leads. QRS decomposition in 9 time-frequency bands (TFB) was performed using Complex Morlet wavelets transformation, while the mean and maximum energies of the QRS complexes were calculated for each of the 9 TFBs. The wavelet parameters of HF patients were compared with those of healthy controls. Results: Wavelet analysis was performed on ECG recordings of 69 HF patients and 17 individuals without cardiac disease. The mean and max wavelet energies of the QRS complex in all TFBs were higher for heart failure patients with LBBB, as compared to healthy individuals with LBBB. Differences were statistically significant in TFB4 and TFB7 (max energy, axis X), TFB4 and TFB7 (max energy, axis Y) and TFB4 and TFB7 (mean energy, axis Y). A multivariate logistic regression model, comprising of the aforementioned wavelet parameters, proved reasonably capable of distinguishing between HF patients and healthy controls with LBBB (AUC=0.854, 80.2% sensitivity and 80.3% specificity). Conclusion: QRS wavelet analysis revealed differences in the template of the QRS complex between healthy individuals with LBBB and heart failure patients with LBBB. This feature could be used as part of the diagnostic algorithm, a possibility that should be investigated further.

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