Comprehensive plasma metabolomic and lipidomic analyses reveal potential biomarkers for heart failure

Author(s):  
Juntuo Zhou ◽  
Xi Chen ◽  
Wei Chen ◽  
Lijun Zhong ◽  
Ming Cui
2018 ◽  
Vol 234 (6) ◽  
pp. 9467-9474 ◽  
Author(s):  
Che Wang ◽  
Honghui Yang ◽  
Chuanyu Gao

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3191
Author(s):  
Peter J. Kennel ◽  
P. Christian Schulze

MiRNA-regulated processes are pivotal in cardiovascular homeostasis and disease. These short non-coding RNAs have ideal properties that could be utilized as potential biomarkers; moreover, their functions as post-transcriptional regulators of mRNA make them interesting therapeutic targets. In this review, we summarize the current state of miRNA-based biomarkers in a variety of diseases leading to heart failure, as well as provide an outlook on developing miRNA-based therapies in the heart failure field.


2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Raffaele Altara ◽  
Marleen H.M. Hessel ◽  
Marco Manca ◽  
Hans Peter Brunner La Rocca ◽  
Anton P.M. Gorgels ◽  
...  

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4257-4257 ◽  
Author(s):  
Nikoletta Lendvai ◽  
Sean Devlin ◽  
Minal Patel ◽  
Kristina Marie Knapp ◽  
Daniel Ekman ◽  
...  

Abstract BACKGROUND: Cardiovascular (CV) events are a known complication to proteasome inhibitor therapy in myeloma. Underlying mechanisms are unknown. We recently completed an investigator initiated, single institution Phase II study of high dose carfilzomib (56mg/m2) in patients with relapsed/refractory MM (NCT01351623). Among 42 response evaluable patients, 11 patients (25%) developed treatment-emergent heart failure of any grade, and 5 patients (11%) developed severe heart failure requiring mechanical ventilation. We undertook a study to identify potential biomarkers that may point to underlying mechanisms of CV events among multiple myeloma patients treated with carfilzomib therapy. METHODS: We performed a nested case-control study with 7 patients who experienced a CV event on our high dose carfilzomib study and had pre-treatment (baseline) plasma stored and 19 case matched controls treated on the same study who did not have a CV event. We screened for 90 proteins known to be associated with CV disease using O-linked glycosylation. We used the Proseek Multiplex CVD I 96x96 platform which is based on the Proximity Extension Assay (PEA) technique. PEA is a 96-plex immunoassay that allows high throughput detection of protein biomarkers in liquid samples. For each biomarker, a matched pair of antibodies linked to unique oligonucleotides (proximity probes) binds to the respective protein target. Upon binding, the unique proximity probes can hybridize to each other and subsequently be detected and quantified by real-time PCR. Mean biomarker levels were compared using a t-test. False discovery rate (FDR) was used for multiple comparisons adjustment. RESULTS: Using samples collected prior to initiation of carfilzomib therapy, in an agnostic statistical model we identified the following four proteins to have altered levels in myeloma patients who developed CV events (p=0.002-0.004, unadjusted; p=0.089, after FDR correction): matrix metalloproteinase-1 (MMP-1, heparin-binding EGF-like growth factor (HB-EGF), TNF-related apoptosis-inducing ligand (TRAIL), and myoglobin (MB). Myeloma patients who developed CV events had 37% lower MMP-1, 15% lower MB, and 4% lower HB-EGF, while TRAIL was 7% higher in patients who developed CV events. Matrix metalloproteinases are a family of proteolytic enzymes responsible, among other functions, for myocardial extracellular protein degradation. Interestingly, several MMP species, including MMP-1, have been identified within the human myocardium and are thought to be dysregulated in congestive heart failure. HB-EGF is a mitogenic and chemotactic glycoprotein that is essential for maintaining normal cardiac function and is known to play an important role in myocardial remodeling. CONCLUSIONS: We found that there was a trend towards lower MMP-1, HB-EGF, and MB levels and higher TRAIL levels in patients with CV events while receiving proteasome therapy. MMP-1 appears to be the most promising potential biomarker based on our data. Our study supports further investigation of these proteins as potential biomarkers for patients at risk of CV events when treated with carfilzomib. Table 1. CV event No CV event N=7 N=19 CKD Proteins1 Mean (SD) Mean(SD) Unadjusted P-value Adjusted P-value MMP_1 1.7 (0.5) 2.7 (0.9) 0.002 0.089 HB_EGF 6.9 (0.2) 7.2 (0.3) 0.004 0.089 TRAIL 8 (0.3) 7.5 (0.5) 0.004 0.089 MB 5 (0.5) 5.9 (0.8) 0.004 0.089 HSP_27 2.2 (0.3) 2.7 (0.8) 0.032 0.528 PDGF_subunit_B 4 (0.7) 5 (1.5) 0.036 0.528 CD40_L 3.4 (0.6) 4.2 (1.2) 0.042 0.533 EGF 3.7 (0.9) 4.7 (1.4) 0.053 0.592 CX3CL1 5.9 (0.2) 5.6 (0.6) 0.092 0.895 TRAIL_R2 4.2 (0.4) 4.6 (0.6) 0.101 0.895 1. Proteins are listed based on the p-value associated with the difference between patients who did and did not have CV events, with lowest p-value on the top. The top 10 biomarkers are shown. Disclosures Ekman: Olink Bioscience: Employment. Grundberg:Olink Bioscience: Employment. Hassoun:Celgene: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Takeda: Research Funding; Novartis: Consultancy. Lesokhin:Aduro: Consultancy; Efranat: Consultancy; Genentech: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Landau:Janssen: Consultancy; Prothena: Consultancy, Honoraria; Janssen: Consultancy; Spectrum Pharmaceuticals: Honoraria; Onyx: Honoraria, Research Funding; Takeda: Research Funding. Giralt:TAKEDA: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria, Research Funding, Speakers Bureau; AMGEN: Consultancy, Research Funding; SANOFI: Consultancy, Honoraria, Research Funding; CELGENE: Consultancy, Honoraria, Research Funding. Landgren:Onyx: Honoraria; Celgene: Honoraria; BMJ Publishing: Consultancy; International Myeloma Foundation: Research Funding; Bristol-Myers Squibb: Honoraria; Onyx: Research Funding; Medscape: Consultancy; Medscape: Honoraria; BMJ Publishing: Honoraria; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Onyx: Consultancy.


2021 ◽  
Author(s):  
Yuyan Xiong ◽  
Yuejin Yang

Abstract Backgrounds : Acute myocardial infarction (AMI) is the predominant cause of cardiac death and ischemic heart failure (IHF) worldwide in coronary artery disease (CAD). Although it results from coronary acute occlusion, we in the study explored some key genes involved in the development of AMI and consequent IHF using bioinformatics analysis. Methods Utilizing expression data of 52 patients with AMI and 53 controls from GSE66360 and GSE97320 datasets, we screened shared differentially expressed genes (DEGs) in the independent datasets. Functional enrichment analysis and protein-protein interaction (PPI) network were employed. GSE58967 of 111 AMI patients and 46 controls was used to validate the shared DEGs and further analyzed to identify the DEGs in AMI patients with and without heart failure (HF) with the dynamic changes also being evaluated. The receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to validate the diagnostic efficiency. Results In the comparison of AMI patients with controls, we identified 105 shared DEGs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed the shared DEGs mainly enriched in immune-related inflammation process and pathways. Filtered with PPI network, 5 genes of CXCL8, CXCL1, MMP9, FPR1 and TLR2 were considered as hub genes, which were further validated in GSE59867. Compared with the genes in AMI patients without HF, those of TNFAIP6, ADM, TRIB1, AQP9 and IL1R2 associated with ventricular remodeling were found to be significantly high expressed in patients with HF on admission with the AUC of ROC curves was 0.792–0.847 (all p < 0.05), which can be used as the potential biomarkers for early prediction of HF after AMI. Conclusions These findings based on integrated bioinformatic analysis provide new insights into the important roles of genes to play in the patients with AMI and consequent HF.


2021 ◽  
Vol 8 ◽  
Author(s):  
Xing Liu ◽  
Shiyue Xu ◽  
Ying Li ◽  
Qian Chen ◽  
Yuanyuan Zhang ◽  
...  

Background: Inflammatory activation and immune infiltration play important roles in the pathologic process of heart failure (HF). The current study is designed to investigate the immune infiltration and identify related biomarkers in heart failure patients due to ischemic cardiomyopathy.Methods: Expression data of HF due to ischemic cardiomyopathy (CM) samples and non-heart failure (NF) samples were downloaded from gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between CM and NF samples were identified. Single sample gene set enrichment analysis (ssGSEA) was performed to explore the landscape of immune infiltration. Weighted gene co-expression network analysis (WGCNA) was applied to screen the most relevant module associated with immune infiltration. The diagnostic values of candidate genes were evaluated by receiver operating curves (ROC) curves. The mRNA levels of potential biomarkers in the peripheral blood mononuclear cells (PBMCs) isolated from 10 CM patients and 10 NF patients were analyzed to further assess their diagnostic values.Results: A total of 224 DEGs were identified between CM and NF samples in GSE5406, which are mainly enriched in the protein processing and extracellular matrix related biological processes and pathways. The result of ssGSEA showed that the abundance of dendritic cells (DC), mast cells, natural killer (NK) CD56dim cells, T cells, T follicular helper cells (Tfh), gammadelta T cells (Tgd) and T helper 2 (Th2) cells were significantly higher, while the infiltration of eosinophils and central memory T cells (Tcm) were lower in CM samples compared to NF ones. Correlation analysis revealed that Calumenin (CALU) and palladin (PALLD) were negatively correlated with the abundance of DC, NK CD56dim cells, T cells, Tfh, Tgd and Th2 cells, but positively correlated with the level of Tcm. More importantly, CALU and PALLD were significantly lower in PBMCs from CM patients compared to NF ones.Conclusion: Our study revealed that CALU and PALLD are potential biomarkers associated with immune infiltration in heart failure due to ischemic cardiomyopathy.


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