Bioinformatics-Based Identification of lncRNA-miRNA-mRNA Network in Dilated Cardiomyopathy and Drug Prediction

Background. Dilated cardiomyopathy (DCM) is a cardiovascular disease of unknown etiology with progressive aggravation. More and more studies have shown that long noncoding RNAs (lncRNAs) play an essential role in dilated cardiomyopathy formation and development. The mechanism of action of competitive endogenous RNA (ceRNA) networks formed based on the principle that lncRNAs affect mRNAs’ expression level by competitively binding microRNAs (miRNAs) in dilated cardiomyopathy has rarely been reported. Objective. This study is aimed at constructing a lncRNA-miRNA-mRNA ceRNA network by bioinformatics analysis methods, discovering, and validating potential biomarkers of DCM in the ceRNA network and determining possible therapeutic targets from them for drug prediction. Methods. A lncRNA dataset and a mRNA microarray dataset were downloaded from the Gene Expression Omnibus Database (GEO). Gene expression was compared between blood samples from patients with dilated cardiomyopathy and blood samples from normal subjects to identify differential expression of lncRNAs and mRNAs. The lncRNA-miRNA-mRNA network was constructed using bioinformatics tools, and functional and pathway enrichment analysis and protein-protein interactions were performed. The mRNAs in the network and the proteins they encode are then used as targets for predicting drugs. Besides, the expression of lncRNAs in the ceRNA network was validated by real-time quantitative PCR (qRT-PCR) experiments in vitro. Results. The differentially expressed lncRNA-miRNA-mRNA ceRNA network in dilated cardiomyopathy was successfully established. Two differentially overexpressed key lncRNAs were found from the network: AC093817 and AC091062, and qRT-PCR experiments further validated the overexpression of AC093817 and AC091062. The mRNAs in the network and the proteins encoded by the mRNAs were used for drug prediction to get related drugs. Conclusion. This study supports a possible mechanism and drug development of dilated cardiomyopathy, AC093817 and AC091062 being potential biomarkers of dilated cardiomyopathy.

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Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury

Hereditas ◽

10.1186/s41065-021-00176-y ◽

2021 ◽

Vol 158 (1) ◽

Author(s):

Yun Tang ◽

Xiaobo Yang ◽

Huaqing Shu ◽

Yuan Yu ◽

Shangwen Pan ◽

...

Keyword(s):

Gene Expression ◽

Septic Shock ◽

Acute Kidney Injury ◽

Molecular Mechanisms ◽

Therapeutic Targets ◽

Kidney Injury ◽

Enrichment Analysis ◽

Pathway Enrichment Analysis ◽

Blood Samples ◽

Potential Biomarkers

Abstract Background Sepsis and septic shock are life-threatening diseases with high mortality rate in intensive care unit (ICU). Acute kidney injury (AKI) is a common complication of sepsis, and its occurrence is a poor prognostic sign to septic patients. We analyzed co-differentially expressed genes (co-DEGs) to explore relationships between septic shock and AKI and reveal potential biomarkers and therapeutic targets of septic-shock-associated AKI (SSAKI). Methods Two gene expression datasets (GSE30718 and GSE57065) were downloaded from the Gene Expression Omnibus (GEO). The GSE57065 dataset included 28 septic shock patients and 25 healthy volunteers and blood samples were collected within 0.5, 24 and 48 h after shock. Specimens of GSE30718 were collected from 26 patients with AKI and 11 control patents. AKI-DEGs and septic-shock-DEGs were identified using the two datasets. Subsequently, Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate molecular mechanisms of DEGs. We also evaluated co-DEGs and corresponding predicted miRNAs involved in septic shock and AKI. Results We identified 62 DEGs in AKI specimens and 888, 870, and 717 DEGs in septic shock blood samples within 0.5, 24 and 48 h, respectively. The hub genes of EGF and OLFM4 may be involved in AKI and QPCT, CKAP4, PRKCQ, PLAC8, PRC1, BCL9L, ATP11B, KLHL2, LDLRAP1, NDUFAF1, IFIT2, CSF1R, HGF, NRN1, GZMB, and STAT4 may be associated with septic shock. Besides, co-DEGs of VMP1, SLPI, PTX3, TIMP1, OLFM4, LCN2, and S100A9 coupled with corresponding predicted miRNAs, especially miR-29b-3p, miR-152-3p, and miR-223-3p may be regarded as promising targets for the diagnosis and treatment of SSAKI in the future. Conclusions Septic shock and AKI are related and VMP1, SLPI, PTX3, TIMP1, OLFM4, LCN2, and S100A9 genes are significantly associated with novel biomarkers involved in the occurrence and development of SSAKI.

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Identification of Key Biomarkers and Immune Infiltration in Systemic Juvenile Idiopathic Arthritis by Integrated Bioinformatic Analysis

Frontiers in Molecular Biosciences ◽

10.3389/fmolb.2021.681526 ◽

2021 ◽

Vol 8 ◽

Author(s):

Min Zhang ◽

Rongxin Dai ◽

Qin Zhao ◽

Lina Zhou ◽

Yunfei An ◽

...

Keyword(s):

Gene Expression ◽

Juvenile Idiopathic Arthritis ◽

Immune Cells ◽

Mapk Pathway ◽

Systemic Juvenile Idiopathic Arthritis ◽

Unknown Etiology ◽

Pathway Enrichment Analysis ◽

Hub Genes ◽

Immune Infiltration ◽

Qrt Pcr

Systemic juvenile idiopathic arthritis (sJIA) is a rare and serious type of JIA characterized by an unknown etiology and atypical manifestations in the early stage, and early diagnosis and effective treatment are needed. We aimed to identify diagnostic biomarkers, immune cells and pathways involved in sJIA pathogenesis as well as potential treatment targets. The GSE17590, GSE80060, and GSE112057 gene expression profiles from the Gene Expression Omnibus (GEO) database were screened to obtain differentially expressed genes (DEGs) between sJIA and healthy controls. Common DEGs were subjected to pathway enrichment analysis; a protein-protein interaction network was constructed, and hub genes were identified. In addition, functional annotation of hub genes was performed with GenCLiP2. Immune infiltration analysis was then conducted with xCell, and correlation analysis between immune cells and the enriched pathways identified from gene set variation analysis was performed. The Connectivity Map database was used to identify candidate molecules for treating sJIA patients. Finally, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was carried out, and the GEO dataset GSE8361 was applied for validation of hub gene expression levels in blood samples from healthy individuals with sJIA. A total of 73 common DEGs were identified, and analysis indicated enrichment of neutrophil and platelet functions and the MAPK pathway in sJIA. Six hub genes were identified, of which three had high diagnostic sensitivity and specificity; ARG1 and PGLYRP1 were validated by qRT-PCR and microarray data of the GSE8361 dataset. We found that increased megakaryocytes and decreased Th1 cells correlated positively and negatively with the MAPK pathway, respectively. Furthermore, MEK inhibitors and some kinase inhibitors of the MAPK family were identified as candidate agents for sJIA treatment. Our results indicate two candidate markers for sJIA diagnosis and reveal the important roles of platelets and the MAPK pathway in the pathogenesis of sJIA, providing a new perspective for exploring potential molecular targets for sJIA treatment.

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In vivo and in vitro maturation of rabbit oocytes differently affects the gene expression profile, mitochondrial distribution, apoptosis and early embryo development

Reproduction Fertility and Development ◽

10.1071/rd15553 ◽

2017 ◽

Vol 29 (9) ◽

pp. 1667 ◽

Cited By ~ 10

Author(s):

M. Arias-Álvarez ◽

R. M. García-García ◽

J. López-Tello ◽

P. G. Rebollar ◽

A. Gutiérrez-Adán ◽

...

Keyword(s):

Gene Expression ◽

Rabbit Model ◽

Developmental Competence ◽

Gene Markers ◽

Developmental Potential ◽

Junction Protein ◽

Mitochondrial Distribution ◽

Potential Biomarkers

In vivo-matured cumulus–oocyte complexes are valuable models in which to assess potential biomarkers of rabbit oocyte quality that contribute to enhanced IVM systems. In the present study we compared some gene markers of oocytes and cumulus cells (CCs) from immature, in vivo-matured and IVM oocytes. Moreover, apoptosis in CCs, nuclear maturation, mitochondrial reallocation and the developmental potential of oocytes after IVF were assessed. In relation to cumulus expansion, gene expression of gap junction protein, alpha 1, 43 kDa (Gja1) and prostaglandin-endoperoxide synthase 2 (Ptgs2) was significantly lower in CCs after in vivo maturation than IVM. In addition, there were differences in gene expression after in vivo maturation versus IVM in both oocytes and CCs for genes related to cell cycle regulation and apoptosis (V-Akt murine thymoma viral oncogene homologue 1 (Akt1), tumour protein 53 (Tp53), caspase 3, apoptosis-related cysteine protease (Casp3)), oxidative response (superoxide dismutase 2, mitochondrial (Sod2)) and metabolism (glucose-6-phosphate dehydrogenase (G6pd), glyceraldehyde-3-phosphate dehydrogenase (Gapdh)). In vivo-matured CCs had a lower apoptosis rate than IVM and immature CCs. Meiotic progression, mitochondrial migration to the periphery and developmental competence were higher for in vivo-matured than IVM oocytes. In conclusion, differences in oocyte developmental capacity after IVM or in vivo maturation are accompanied by significant changes in transcript abundance in oocytes and their surrounding CCs, meiotic rate, mitochondrial distribution and apoptotic index. Some of the genes investigated, such as Gja1, could be potential biomarkers for oocyte developmental competence in the rabbit model, helping improve in vitro culture systems in these species.

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Peripheral Blood Based Discrimination of Ulcerative Colitis and Crohn’s Disease from Non-IBD Colitis by Genome-Wide Gene Expression Profiling

Disease Markers ◽

10.1155/2011/756290 ◽

2011 ◽

Vol 30 (1) ◽

pp. 1-17 ◽

Cited By ~ 17

Author(s):

Ferenc Sipos ◽

Orsolya Galamb ◽

Barnabás Wichmann ◽

Tibor Krenács ◽

Kinga Tóth ◽

...

Keyword(s):

Gene Expression ◽

Ulcerative Colitis ◽

Crohn’S Disease ◽

Crohn's Disease ◽

Peripheral Blood ◽

Independent Set ◽

Molecular Diagnostic ◽

Blood Samples ◽

Specificity And Sensitivity

A molecular diagnostic assay using easily accessible peripheral blood would greatly assist in the screening and diagnosis of ulcerative colitis (UC) and Crohn’s disease (CD). Transcriptional profiles in blood/biopsy samples from 12 UC (6/12), 9 CD (5/9), 6 non-inflammatory bowel disease (non-IBD) colitis (6/0), and 11 healthy (11/11) patients were assessed by Affymetrix HGU133Plus2.0 microarrays. Prediction analysis of microarrays, discriminant and ROC analyses were performed, the results were validated by RT-PCR and immunohistochemistry using also an independent set of samples (15 blood samples, 45 biopsies). A set of 13 transcripts was differentially expressed in IBD, non-IBD controls and healthy blood samples (100% specificity and sensitivity). Validated difference was found in 16 transcripts between UC, non-IBD and normal blood, and 4 transcripts between CD, non-IBD and normal samples. UC and CD blood cases could be also distinguished by 5 genes with 100% specificity and sensitivity. Some disease associated alterations in blood transcripts were also detected in colonic tissue. IBD subtypes may be discriminated from non-IBD (diverticulitis, infective and ischemic colitis)in vitrofrom peripheral blood by screening for differential gene expression revealed in this study. Transcriptional profile alterations in peripheral blood can be located in diseased colon.

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c-Jun Homodimers Can Function as a Context-Specific Coactivator

Molecular and Cellular Biology ◽

10.1128/mcb.00936-06 ◽

2007 ◽

Vol 27 (8) ◽

pp. 2919-2933 ◽

Cited By ~ 33

Author(s):

Benoit Grondin ◽

Martin Lefrancois ◽

Mathieu Tremblay ◽

Marianne Saint-Denis ◽

André Haman ◽

...

Keyword(s):

Gene Expression ◽

Transcription Factors ◽

Dna Binding ◽

Rna Polymerase Ii ◽

Protein Interactions ◽

Expression Profiles ◽

Basic Domain ◽

Interaction Mode

ABSTRACT Transcription factors can function as DNA-binding-specific activators or as coactivators. c-Jun drives gene expression via binding to AP-1 sequences or as a cofactor for PU.1 in macrophages. c-Jun heterodimers bind AP-1 sequences with higher affinity than homodimers, but how c-Jun works as a coactivator is unknown. Here, we provide in vitro and in vivo evidence that c-Jun homodimers are recruited to the interleukin-1β (IL-1β) promoter in the absence of direct DNA binding via protein-protein interactions with DNA-anchored PU.1 and CCAAT/enhancer-binding protein β (C/EBPβ). Unexpectedly, the interaction interface with PU.1 and C/EBPβ involves four of the residues within the basic domain of c-Jun that contact DNA, indicating that the capacities of c-Jun to function as a coactivator or as a DNA-bound transcription factor are mutually exclusive. Our observations indicate that the IL-1β locus is occupied by PU.1 and C/EBPβ and poised for expression and that c-Jun enhances transcription by facilitating a rate-limiting step, the assembly of the RNA polymerase II preinitiation complex, with minimal effect on the local chromatin status. We propose that the basic domain of other transcription factors may also be redirected from a DNA interaction mode to a protein-protein interaction mode and that this switch represents a novel mechanism regulating gene expression profiles.

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Lactobacillus rhamnosus attenuates Thai chili extracts induced gut inflammation and dysbiosis despite capsaicin bactericidal effect against the probiotics, a possible toxicity of high dose capsaicin

PLoS ONE ◽

10.1371/journal.pone.0261189 ◽

2021 ◽

Vol 16 (12) ◽

pp. e0261189

Author(s):

Wimonrat Panpetch ◽

Peerapat Visitchanakun ◽

Wilasinee Saisorn ◽

Ajcharaporn Sawatpanich ◽

Piraya Chatthanathon ◽

...

Keyword(s):

Gene Expression ◽

Tight Junction ◽

Healthy Volunteers ◽

Lactobacillus Rhamnosus ◽

High Dose ◽

Fluorescent Staining ◽

Qrt Pcr ◽

Junction Molecules ◽

High Concentrations

Because of a possible impact of capsaicin in the high concentrations on enterocyte injury (cytotoxicity) and bactericidal activity on probiotics, Lactobacillus rhamnosus L34 (L34) and Lactobacillus rhamnosus GG (LGG), the probiotics derived from Thai and Caucasian population, respectively, were tested in the chili-extract administered C57BL/6 mice and in vitro experiments. In comparison with placebo, 2 weeks administration of the extract from Thai chili in mice caused loose feces and induced intestinal permeability defect as indicated by FITC-dextran assay and the reduction in tight junction molecules (occludin and zona occludens-1) using fluorescent staining and gene expression by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, the chili extracts also induced the translocation of gut pathogen molecules; lipopolysaccharide (LPS) and (1→3)-β-d-glucan (BG) and fecal dysbiosis (microbiome analysis), including reduced Firmicutes, increased Bacteroides, and enhanced total Gram-negative bacteria in feces. Both L34 and LGG attenuated gut barrier defect (FITC-dextran, the fluorescent staining and gene expression of tight junction molecules) but not improved fecal consistency. Additionally, high concentrations of capsaicin (0.02–2 mM) damage enterocytes (Caco-2 and HT-29) as indicated by cell viability test, supernatant cytokine (IL-8), transepithelial electrical resistance (TEER) and transepithelial FITC-dextran (4.4 kDa) but were attenuated by Lactobacillus condition media (LCM) from both probiotic-strains. The 24 h incubation with 2 mM capsaicin (but not the lower concentrations) reduced the abundance of LGG (but not L34) implying a higher capsaicin tolerance of L34. However, Lactobacillus rhamnosus fecal abundance, using qRT-PCR, of L34 or LGG after 3, 7, and 20 days of the administration in the Thai healthy volunteers demonstrated the similarity between both strains. In conclusion, high dose chili extracts impaired gut permeability and induced gut dysbiosis but were attenuated by probiotics. Despite a better capsaicin tolerance of L34 compared with LGG in vitro, L34 abundance in feces was not different to LGG in the healthy volunteers. More studies on probiotics with a higher intake of chili in human are interesting.

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Combined Analysis of ceRNA Regulatory Network and DNA Methylation in CAD

10.21203/rs.3.rs-917459/v1 ◽

2021 ◽

Author(s):

Yue Zhao ◽

Chen Wang ◽

Wangxia Li ◽

Bingyu Jin ◽

Yang Xiang ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Molecular Mechanisms ◽

Enrichment Analysis ◽

Differentially Expressed ◽

Clinical Samples ◽

Gene Expressions ◽

Qrt Pcr ◽

Cerna Network ◽

Differentially Methylated Genes

Abstract BackgroundThe mobidity and mortality of coronary artery disease (CAD) is increasing year by year. Hence it is urgent to probe into the molecular mechanism of CAD and seek new therapeutic strategies. The purpose of our study was to screen genes associated with the development of CAD by using bioinformatics tools and clinical samples. MethodsMicroarray datasets from the Gene Expression Omnibus (GEO) database of peripheral blood cells (PBLs) were chosen for this study, and candidate differentially expressed microRNAs (DEMs) were screened using the limma and weighted co-expression network analysis (WGCNA) packages in R (v4.0). Subsequently, we construct a competitive endogenous RNAs (ceRNA) network and perform enrichment analysis of genes in the network. Meanwhile, differentially methylated genes (DMGs) in PBLs were identified using the "ChAMP" package in a DNA methylation chip. We then constructed the methylation-associated ceRNA network in CAD. Eventually, the methylation levels of genes and the relationship with the expression of genes in ceRNA were validated in PBLs samples using the Illumina Methylation 850K chip and transcriptome sequencing, while gene expressions were verified by qRT-PCR. And the regulation of DNA methylation on gene expression was verified in the THP-1 cells treated with 5-Aza-2'-deoxycytidine (5-AZA). ResultsA total of 71 differentially expressed miRNAs were screened by both WGCNA and limma. Then the ceRNA network in CAD was constructed with 269 nodes and 705 edges, which were significantly enriched in the chemokine-mediated signaling pathway and so on. Furthermore, from 4354 identified DMGs in a methylation data, 34 methylation-associated differentially expressed genes (DEGs) and 1 differentially expressed lncRNA (DEL) were obtained. After verification of methylation experiments in study population A, three genes were found to have altered methylation consistent with the bioinformatics results. And these genes were correlated in terms of methylation and expression levels. Corresponding with the bioinformatics results, qRT-PCR results in validation set B also showed that the expression of AGPAT4 and FAM169A were significantly lower in CAD. In addition, 5-AZA treatment could increase the expression of AGPAT4 and FAM169A in THP-1 cells. ConclusionsOur study deepens the understanding of the molecular mechanisms underlying the pathogenesis of CAD and provides new ideas for its treatment.

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Integrated analysis of lncRNA-miRNA-mRNA ceRNA network and the potential prognosis indicators in sarcomas

10.21203/rs.3.rs-21667/v1 ◽

2020 ◽

Author(s):

Ling Zhang ◽

Lu Gao ◽

Yu Zhao ◽

Xuelei Ma

Keyword(s):

Survival Analysis ◽

Protein Interactions ◽

Sequence Data ◽

Gene Prediction ◽

Expression Profiles ◽

Enrichment Analysis ◽

Integrated Analysis ◽

Pathway Enrichment Analysis ◽

Tissue Samples ◽

Cerna Network

Abstract The ceRNA network has been demonstrated to play crucial roles in multiple biological processes and the development of neoplasms, which have the potential to become diagnostic and prognosis markers and therapeutic targets. In this work, we comparing the expression profiles between sarcoma identified differentially expressed genes (DEGs), lncRNAs (DELs) and miRNAs (DEMs) in sarcomas and normal tissue samples in GEO datasets. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied to investigate the major functions of the overlapping DEGs. Then, lncRNA-miRNA interactions and miRNA-mRNA interactions were predicted, and a ceRNA regulatory network was constructed. In addition, the mRNAs included in ceRNA network were used to construct the protein-protein interactions network, and the survival analysis of sarcomas was performed according to the biomarkers included in the ceRNA network. According to the RNA sequence data from GEO dataset, 1296 DEGs were identified in sarcoma samples by combining the GO and Pathway enrichment analysis, 338 DELs were discovered after re-annotating the probes, and 36 DEGs were ascertained through intersecting two different expression miRNAs sets. Further, 448 miRNA-mRNA interactions and 454 miRNA-lncRNA interactions were obtained through target gene prediction, and then, we constructed a lncRNA-miRNA-mRNA ceRNA network containing 9 miRNAs, 69 lncRNAs and 113 mRNAs. PPI network showed that the hub up-regulated nodes include IGF1, PRKCB and GNAI3, and the hub down-regulated nodes include AR, CYCS and PPP1CB. Survival analysis revealed that the expression levels of 12 RNAs involved in the ceRNA network were associated with overall survival of sarcoma patients. Our study showed that the ceRNA network in sarcomas based on that lncRNA could serve as ceRNA and discovered the potential indicators for prognosis of sarcoma patients.

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Research on the Mechanism of Asiaticoside Inhibiting Osteoclast Differentiation and Promoting the Recovery of Steroid-Induced Osteonecrosis of the Femoral Head (SIONFH)

Journal of Biomaterials and Tissue Engineering ◽

10.1166/jbt.2021.2593 ◽

2021 ◽

Vol 11 (8) ◽

pp. 1606-1611

Author(s):

Meijing Miao ◽

Liping Guo ◽

Pengfei Su ◽

Jinshan Ji ◽

Baoli Li

Keyword(s):

Gene Expression ◽

Stem Cells ◽

Bone Marrow ◽

Femoral Head ◽

Protein Expression ◽

Western Blot ◽

Osteoclast Differentiation ◽

Culture Fluid ◽

Qrt Pcr

Our study aims to assess whether asiaticoside promotes the recovery of SINOFH by inhibiting bone marrow stem cells (BMSCs) differentiation into osteoclasts (OC). BMMs were induced to form OC system by dexamethasone in vitro and ELISA detected the expression of OC-related genes formation by asiaticoside. BMSCs were cultured followed by analysis of BMSCs morphology under microscope, gene expression by qRT-PCR. TRACP and c-Src level by western blot, RANKL, OPG and TRACP5b level by ELISA. Asiaticoside inhibited the expression of OC formation in SIONFH. The expression of OC-related genes increased with the induction days. With the increasing of induction days, asiaticoside level in culture fluid was decreased. While after asiaticoside interference, OCrelated genes and proteins levels were significantly down-regulated. Aasiaticoside can significantly increase the RANKL signaling protein expression. In conclusion, asiaticoside promotes the recovery of SINOFH by inhibiting BMSCs differentiation into OC.

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Abstract P107: Hypertension Enhances the Differentiation of Cardiac Fibroblasts Into Myofibroblasts After TGF-beta1 Treatment

Hypertension ◽

10.1161/hyp.68.suppl_1.p107 ◽

2016 ◽

Vol 68 (suppl_1) ◽

Author(s):

Gianluca L Perrucci ◽

Maria Corlian!ò ◽

Delfina Tosi ◽

Patrizia Nigro ◽

Gaetano Bulfamante ◽

...

Keyword(s):

Gene Expression ◽

Protein Expression ◽

Cardiac Fibrosis ◽

Cardiac Fibroblasts ◽

Smooth Muscle Actin ◽

Pcr Analysis ◽

Alpha Smooth Muscle Actin ◽

Qrt Pcr ◽

Gene And Protein Expression

Objectives: In cardiac fibrosis associated with hypertension, TGF-beta1 plays a key role by acting on differentiation of cardiac fibroblasts (CF) into alpha-smooth muscle actin (alpha-SMA)-positive myofibroblasts. In this study, we tested the effect of TGF-beta1 during the myofibroblast differentiation process of CF from normotensive and hypertensive rats. Methods: CF were obtained by enzymatic digestion of hearts isolated from Spontaneously Hypertensive (hCF) and normotensive Wistar Kyoto (nCF) rats (n=5 rat/group). Gene and protein expression in CF was evaluated by Western blot and qRT-PCR analyses, respectively. Immunohistochemistry analysis for integrin alpha-v beta-5 was performed on rat cardiac tissue (n=5 rat/group). Results: Cultured hCF showed an enhanced SMAD2/3 activation and alpha-SMA protein expression after treatment with TGF-beta1 (5 ng/ml) in comparison with nCF. Alpha-SMA up-regulation was further confirmed by qRT-PCR analysis that showed a significant increase in alpha-SMA gene expression in hCF after TGF-beta1 treatment (2.78±0.25 vs 2.01±0.21 fold increase, p <0.05). Moreover, immunostaining on cardiac tissues revealed a higher expression of integrin alpha-v beta-5 in hypertensive vs normotensive rat hearts (345.3±170.0 vs 48.2±22.3 mm 2 of integrin-positive area, p <0.05). This result was also confirmed in vitro ; indeed, integrin alpha-v beta-5 gene expression in hCF increased 2.8-fold in basal condition and 5.12-fold after TGF-beta1 treatment when compared to untreated nCF. Conclusions: Taken together, these results suggest that hCF are more prone to upregulate integrin alpha-v beta-5 and consequently differentiate into myofibroblasts in vitro under TGF-beta1 treatment. Thus, targeting alpha-v beta-5 might open a novel prospective for the treatment of fibrosis in hypertensive hearts likely reducing integrin-mediated TGF-beta1 activation.

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