Next Article in Journal
Spatiotemporal Distribution of Homogalacturonans and Hemicelluloses in the Placentas, Ovules and Female Gametophytes of Utricularia nelumbifolia during Pollination
Next Article in Special Issue
The Cardiomyocyte in Heart Failure with Preserved Ejection Fraction—Victim of Its Environment?
Previous Article in Journal
Extracellular Vesicles Derived from Primed Mesenchymal Stromal Cells Loaded on Biphasic Calcium Phosphate Biomaterial Exhibit Enhanced Macrophage Polarization
Previous Article in Special Issue
Autophagy and Endoplasmic Reticulum Stress during Onset and Progression of Arrhythmogenic Cardiomyopathy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Effects of Mechanical Loading Variations on the Hypertrophic, Anti-Apoptotic, and Anti-Inflammatory Responses of Differentiated Cardiomyocyte-like H9C2 Cells

by
Evangelos Zevolis
,
Anastassios Philippou
,
Athanasios Moustogiannis
,
Antonios Chatzigeorgiou
and
Michael Koutsilieris
*
Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Micras Asias, Goudi-Athens, 115 27 Athens, Greece
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Cells 2022, 11(3), 473; https://doi.org/10.3390/cells11030473
Submission received: 22 November 2021 / Revised: 25 December 2021 / Accepted: 26 January 2022 / Published: 29 January 2022
(This article belongs to the Collection Cardiomyocytes, Myocardial Hypertrophy, and Heart Failure)

Abstract

:
Cardiomyocytes possess the ability to respond to mechanical stimuli by adapting their biological functions. This study investigated cellular and molecular events in cardiomyocyte-like H9C2 cells during differentiation as well as the signalling and gene expression responses of the differentiated cells under various mechanical stretching protocols in vitro. Immunofluorescence was used to monitor MyHC expression and structural changes during cardiomyoblast differentiation. Moreover, alterations in the expression of cardiac-specific markers, cell cycle regulatory factors, MRFs, hypertrophic, apoptotic, atrophy and inflammatory factors, as well as the activation of major intracellular signalling pathways were evaluated during differentiation and under mechanical stretching of the differentiated H9C2 cells. Compared to undifferentiated cells, advanced-differentiation cardiomyoblasts exhibited increased expression of cardiac-specific markers, MyHC, MRFs, and IGF-1 isoforms. Moreover, differentiated cells that underwent a low strain/frequency mechanical loading protocol of intermediate duration showed enhanced expression of MRFs and hypertrophic factors, along with a decreased expression of apoptotic, atrophy, and inflammatory factors compared to both high-strain/frequency loading protocols and to unloaded cells. These findings suggest that altering the strain and frequency of mechanical loading applied on differentiated H9C2 cardiomyoblasts can regulate their anabolic/survival program, with a low-strain/frequency stretching being, overall, most effective at inducing beneficial responses.

1. Introduction

H9C2 cardiomyoblasts are a cell line used as an alternative to cardiomyocytes. They are isolated from ventricular tissue and used in vitro as a mimetic model for cardiac muscle due to their biochemical, morphological, and hormonal signalling properties [1,2]. Thus, several studies have used H9C2 cells for investigating their differentiation features towards a cardiac-like phenotype [3]. Cardiomyocytes, as mechanosensitive cells, possess the ability to transduce mechanical stimuli to intracellular biochemical signals [4,5,6], while mechanotransduction mediates the adaptation mechanisms of these cells to mechanical loading [7].
Mechanosensitive extracellular and cellular elements have been shown to mediate the transduction of mechanical signals into the cell nucleus [8]. Through these mechanosensors, mechanical loading activates a complex network of signal transduction pathways that induce protein synthesis and increase the production of growth factors in mechanosensitive cells [9,10]. Moreover, mechanical stimuli modulate essential cellular processes, such as differentiation, survival, and apoptosis [11,12,13]. Under abnormal loading conditions, these processes can become maladaptive, altering the physiological function of cardiac muscle and leading to the development of pathological hypertrophy and heart failure [14,15,16,17,18,19,20]. Indeed, mechanical signals can affect cardiomyocyte differentiation in both physiological and pathological conditions, driven by multiple mechanotransduction pathways that coordinate the balance between protein synthesis and protein degradation, or muscle growth and atrophy [3,21].
Four transcription factors, the myogenic regulatory factors (MRFs) MyoD, Myf5, Myogenin, and MRF4, regulate myogenic differentiation [22], sharing the ability to convert various differentiated cell types to myogenic [23,24] and playing a similar role in cardiomyocyte-like cell myogenic differentiation [14,25,26]. Moreover, insulin-like growth factor-1 (IGF-1) signalling has been shown to play an important role in skeletal and cardiac cell growth through the activation of extracellular signal-regulated kinases (Erk 1/2) [25,26] as well as in the loading-induced adaptive cardiac hypertrophy through the activation of Akt [27,28], while potentially differential actions of IGF-1 isoforms in the myocardial repair/remodelling process and in cardiac myoblasts growth have been proposed [26].
On the other hand, mechanical loading can have beneficial or detrimental effects on differentiated cardiomyocytes, depending on its specific characteristics [29], by activating pro-inflammatory factors, such as IL-1β, TNF-α, IL-6, and NF-kB, as well as muscle atrophy and pro-apoptotic factors, such as myostatin, muscle-specific ubiquitin ligase Atrogin-1 (MaFbx), FoxO1, and p53, which have been negatively implicated in cell growth and survival, inducing cardiac muscle wasting and promoting heart failure [29,30,31,32,33,34,35,36].
The cellular and molecular phenotype of cardiomyocyte-like cells during their differentiation has not been fully characterized, while we have recently demonstrated that altering the features of mechanical stretching applied on advanced differentiation cardiomyoblasts induces different effects on their myogenic lineage [29]. More specifically, our previous findings emphasized that, for eliciting beneficial responses in the loaded cardiomyocytes, it is crucial to determine the optimal features of mechanical loading in terms of its loading/recovery characteristics.
In this study, we expand on our previous data to investigate the effects of more focused loading variations on signalling and expression responses, associated with the myogenic differentiation of these cells, by specifically varying the elongation and frequency of mechanical stretching. Thus, the aim of the present study was to further characterize the cellular and molecular signatures of cardiac myocyte-like H9C2 cells during their differentiation and to compare the hypertrophy/atrophy-, apoptosis-, and inflammation-related responses of the terminally differentiated cells to various mechanical loading protocols in vitro.

2. Materials and Methods

2.1. H9C2 Cell Culture

The H9C2 cell line of embryonic rat heart-derived ventricular cells was obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA) and cultured as previously described [26]. Briefly, cells were grown in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% foetal bovine serum (FBS) and 1% penicillin/streptomycin at 37 °C in a humidified atmosphere of 5% CO2 in air, and the medium was changed every other day. The H9C2 cardiomyoblasts were seeded onto six-well flexible-bottomed culture plates coated with Collagen I (Flex I Culture Plates Collagen I; Flexcell International, Hillborough, NC, USA) and maintained in the growth medium until 70–80% confluence, then switched to a differentiation medium (2% horse serum, 1% of penicillin/streptomycin in DMEM). Cardiomyoblasts were allowed to differentiate into multinucleated myotubes for a five-day period during which the medium was changed every other day before their mechanical stretching, as described below.

2.2. Cardiomyocyte Mechanical Loading

Terminally differentiated H9C2 (myotubes) were stretched using the Flexcell FX-5000 strain unit (Flexcell International) that produces an isotropic two-dimensional (biaxial) strain of cells cultured on the flexible surface (silicone membrane) of the culture plates, as previously described [29]. Cardiomyotubes were subjected to four stretching protocols, in which the loading time was kept the same in each protocol, based on our previous findings [29], while the elongation and frequency of stretching varied: (a) 2% elongation (strain) at a frequency of 0.25 Hz; (b) 2% elongation at 1 Hz, (c) 12% elongation at 0.25 Hz, and (d) 12% elongation at 1 Hz. The waveform of the tension applied on the cardiomyocytes in the stretching cycle of each protocol mimicked the pressure fluctuations of a heartbeat in vivo.

2.3. Cell Lysis and RNA Extraction

Cell extracts were obtained by cell lysis using NucleoZOL (Mecherey-Nagel, Dueren, Germany). To further characterize the molecular phenotype of cardiomyocyte-like cells during their differentiation, cells were harvested and lysed on days 0, 3, and 5 of their differentiation. Stretched cardiomyotubes were harvested 12 h after the completion of the stretching protocol, while control (nonstretched) myotubes were also harvested 12 h after the end of each protocol. Total RNA was isolated from the lysates according to the manufacturer’s recommendations. The extracted RNA was dissolved in RNAase-free water (Invitrogen, Waltham, MA, USA) and the concentration and purity were determined spectrophotometrically (Thermo Nanodrop 2000,Thermo Scientific, Waltham, MA, USA) by absorption at 260 and 280 nm. Integrity of total RNA was confirmed by visual inspection of the electrophoretic pattern of 18S and 28S ribosomal RNA in ethidium bromide-stained 1% agarose gels under ultraviolet (UV) light. The total RNA samples were stored at −80 °C until further analysis for the determination of the mRNA levels of the genes of interest by reverse transcription and semi-quantitative real-time polymerase chain reaction (PCR) procedures.

2.4. Reverse Transcription and Real-Time PCR

Total RNA from each sample was used to produce single-stranded cDNA by reverse transcription using reverse transcriptase ProtoScript II (NEB, Ipswich, MA, USA) and the resultant cDNAs were utilized in real-time PCR, as described elsewhere [29,37]. The primer set sequences used for the specific detection of IGF-1 isoforms (IGF-1Ea, IGF-1Eb), myogenic regulatory factors (MyoD, Myogenin, MRF4), pro-apoptotic (FoxO1, FUCA, p53), atrophy (Atrogin-1, Myostatin), and pro-inflammatory (IL-1β, TNF-α, IL-6, NF-kB), and cell cycle regulation-related (Cyclin D1) factors, as well as cardiac-specific marker (Cardiac troponin type T) are shown in Table 1. To prevent detection of genomic DNA, the primer sets were designed to lie within different exons while, particularly, each set of primers for the detection of the IGF-1 isoforms was specific to detect only one IGF-1 transcript variant. To normalize the amount of total RNA present in each PCR reaction and the mRNA expression (relative quantification-dCt) of the genes of interest, glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as a housekeeping gene (internal standard). Each sample was analysed in duplicate, and the resulting data were averaged. The specificity of the primers for the corresponding transcript was also confirmed by the melting curve analysis of samples, where there was only one melting curve for each sample, while electrophoretic analysis of the real-time PCR products further verified the specificity of the transcript of each gene of interest. Control for specificity included cDNA-free and template-free reactions.

2.5. Protein Extraction and Immunoblotting Analysis

Total proteins were extracted from H9C2 cardiomyoblasts as previously described [26,38]. Protein content was determined using a BCA protein assay kit (Thermo Scientific). Samples were stored in aliquots at –80 °C until Western blot analysis, as previously described [38]. Blots were incubated with the following primary antibodies for the immunodetection of Phospho-Akt, Phospho-Erk 1/2, Pospho-p38, Cardiac actin, MyoD, Myogenin and p53 proteins: rabbit monoclonal anti- Phospho-Akt (1:2000 dilution with 5% BSA in TBS-T) (4060; Cell Signaling, Danvers, MA, USA), anti-Phospho-p44/42 MAPK (Erk1/2; 1:2000 dilution with 5% BSA in TBS-T) (4370; Cell Signaling), rabbit monoclonal anti-Phospho-p38 (1:2000 dilution with 5% BSA in TBS-T) (#9211S; Cell Signaling), mouse monoclonal anti-Cardiac actin (1:2000 dilution with 5% BSA in TBS-T) (NBP2-67114; NOVUS Biologicals, Littleton, CO, USA), mouse monoclonal anti-MyoD (1:2000 dilution with 5% BSA in TBS-T) (sc-377460 Santa Cruz Biotechnology, Dallas, TX, USA), mouse monoclonal anti-Myogenin (1:2000 dilution with 5% BSA in TBS-T) (ab1835 Abcam, Cambridge, UK), and mouse monoclonal anti-p53 (1:2000 dilution with 5% BSA in TBS-T) (sc-126 Santa Cruz Biotechnology), respectively. A horseradish peroxidase-conjugated secondary anti-rabbit IgG (goat anti-rabbit, 1:2000 dilution; Santa Cruz Biotechnology), or anti-mouse IgG (goat anti-mouse, 1:2000 dilution; Santa Cruz Biotechnology) was used. The expected bands were visualized by exposure of the membranes to X-ray film after incubation with an enhanced chemiluminescent substrate for 3 min (ECL Supersignal west pico, Thermo Scientific). Anti-GAPDH antibody (1:2000 dilution; Santa Cruz Biotechnology) was used as an internal standard to correct for potential variations in the protein loading and to normalize the protein measurements on the same immunoblot. Band intensity was then semi-quantified using ImageJ software (NIH, Bethesda, MD, USA).

2.6. Immunofluorescence

H9C2 cardiomyocytes cultured on chamber slides were fixed, permeabilized, and stained using an indirect immunofluorescence method as previously described [34]. Briefly, cells were incubated with a primary mouse anti-Myosin Heavy Chain (MyHC) antibody (1:100, R&D, Minneapolis, MN, USA) and a goat anti-mouse IgG conjugated to the fluorescent Alexa 488 dye (1:2000, Abcam) secondary antibody, or Phaloidin conjugated with CF 488A (1:2000, Biotium, Fremont CA, USA), and after staining also with DAPI (1 µg/mL; 4083; Cell Signaling), they were viewed under a microscope (Olympus BX40; Olympus Corporation, Tokyo, Japan). In addition, ImageJ software [39] was used to perform morphological analyses of cardiomyoblasts H9C2 during their differentiation.

2.7. Cell Cycle Analysis

Flow cytometry was used to characterize the cell cycle profile of the H9C2 cardiomyoblasts. Undifferentiated cells were fixed in 70% ethanol overnight at 4 °C. The cells were then stained with DAPI (Cell Signaling) and cell cycle analysis was performed using a flow cytometer (Partec CyFlow, Gorlitz, Germany), where each phase of the cell cycle was calculated using the ModFit LT software Flow max 3.0 (Verity Software House, Topsham, ME, USA).

2.8. Statistical Analysis

One-way analysis of variance (ANOVA) with Dunn’s multiple comparison post hoc test or Student’s t-test was used for statistics, utilizing GraphPad Prism 5 (San Diego, CA, USA). All experiments were performed in triplicate and data are presented as mean ± standard error of the mean (SE). The level of statistical significance was set to p < 0.05.

3. Results

3.1. Differentiation Phenotype of Cardiomyocyte-like H9C2 Cells

3.1.1. Cell Cycle and Morphological Analyses

Analysis of the cell cycle phases distribution revealed a normal profile of cell cycle progression for the undifferentiated H9C2 cardiomyoblasts (Figure 1A). Moreover, morphology-based analysis during their differentiation showed a progressive differentiation process of the mononucleated cells towards their fusion and the formation of multinucleated cells (myotubes) (Figure 1I–K). Specifically, the H9C2 cardiomyocyte-like cells exhibited an increasing number of myotubes based on the cytoskeleton protein actin (phalloidin/DAPI staining), as well as the terminally differentiation marker MyHC staining (Figure 1J,K) from day 0 to day 5 of differentiation. The myogenic differentiation potential of these cells was further documented by the fusion index (FI) and the maturation index (MI) values over time, which were significantly higher at day 5 compared to day 3 or day 0 of differentiation (Figure 1G,H).

3.1.2. Gene Expression Changes during Differentiation

In accordance with the morphological alterations of the H9C2 cardiomyoblasts during their differentiation program, these cells exhibited a significant downregulation of Cyclin D1 expression over time, as expected, along with a gradual and significant increase in the cardiac-specific markers actin (Figure 1N) and troponin type T (Figure 1C), towards a cardiac-like phenotype. Moreover, changes in MRF expression were monitored during the differentiation of the H9C2 cardiomyoblasts, revealing a later peak of the late myogenic marker MRF4 (on day 5; Figure 1F) compared with the MyoD1 and Myogenin mRNA expression (on day 3; Figure 1D,E), while the protein levels of these two differentiation factors exhibited a time shift and peaked on day 5 of the myogenic differentiation, as expected (Figure 1L,M). In addition, differential expression of the IGF-1 isoforms, namely IGF-1Ea and IGF-1Eb, was shown for the first time during the H9C2 cardiomyoblasts’ differentiation, with a significant downregulation of IGF-1Eb at the advanced stage of differentiation (day 5) and a persistent upregulation of IGF-IEa up to day 5 of differentiation (Figure 2A,B).

3.1.3. Changes in Signalling Pathways Activation during Differentiation

Along with the targeted gene expression responses during cardiomyocyte-like H9C2 cell differentiation, we also characterized the alterations in activation of major signalling pathways that regulate muscle cell growth, proliferation and differentiation [28]. Interestingly, we found a similar activation pattern of gradual increase in the phosphorylation of the important signalling mediators Akt and p38 over time, along with a gradual decrease in Erk1/2 activation (Figure 2C–E), with these alterations reaching significance (p < 0.05–0.01) at the advanced stage of cardiomyoblast differentiation (day 5).

3.2. Responses of Differentiated Cardiomyocyte-like H9C2 Cells to Various Mechanical Loading Protocols

3.2.1. Myogenic Regulatory Factors

The expression levels of both early (MyoD) and late (Myogenin, MRF4) differentiation factors were examined in differentiated cardiomyoblasts to investigate the potential effects of mechanical loading on their myogenic lineage. It was revealed that, at the transcriptional level 12 h after the completion of the loading protocols, the stretching of cardiomyotubes induced the downregulation of those MRFs compared to the control (no stretch), regardless of the mechanical loading features (Figure 3A–C). At the protein level, mechanical loading led to increased expression of both MyoD and Myogenin compared to the control condition, potentially implying that the time point of 12 h after the completion of stretching does not correspond to the same “window” of transcriptional and translational responses (Figure 3D,E).

3.2.2. Muscle Hypertrophy/Atrophy Factors

The effects of different stretching protocols on the expression of muscle hypertrophy and atrophy factors were also examined in differentiated cardiomyocytes. A similar expression profile was revealed for both IGF-1 isoforms regarding their responses to the different mechanical loading protocols. Interestingly, we found that the stretching frequency appears to regulate the expression pattern of IGF-1 isoforms, while the elongation affects the magnitude of their expression. Specifically, a low frequency (0.25 Hz) resulted in more pronounced increases in the expression of both IGF-1 isoforms compared to the control and high frequency (1 Hz), regardless of the elongation of stretching, while the higher the elongation applied (12%), the higher the expression of IGF-1 isoforms in each frequency tested. Interestingly, mechanical loading of high frequency (1 Hz)/low elongation (2%) appears to downregulate the expression of both IGF-1 isoforms (Figure 4A,B) and, conversely, to upregulate the cardiac and skeletal muscle atrophy factors Atrogin-1 and Myostatin (Figure 4C,D). Moreover, stretching of differentiated cardiomyoblasts seemed, overall, to upregulate Atrogin-1 and Myostatin compared to the control condition, except for the low-frequency (0.25 Hz)/low-elongation (2%) protocol, while high-elongation stretching was found to be a determinant of the upregulation of both atrophy factors at a low frequency (Figure 4C,D).

3.2.3. Pro-Apoptotic Factors

Along with the loading-induced regulation of muscle hypertrophy/atrophy genes, the responses of apoptosis-related factors to mechanical loading were investigated in H9C2 cardiomyotubes. It was shown that FoxO1 exhibited an mRNA expression pattern similar to that of the atrophy factors Atrogin-1 and Myostatin, in response to the various stretching protocols. In particular, the high-frequency (1 Hz)/low-elongation (2%) protocol resulted in the significant upregulation of FoxO1 compared to the control while, as also observed in the atrophy genes, high-elongation stretching was found to be the determinant for the upregulation of FoxO1 at a low-frequency loading (Figure 5A; see also the responses of NF-kB below). In contrast with the FoxO1 responses, the low-frequency (0.25 Hz)/low-elongation (2%) protocol resulted in the transcriptional upregulation of p53 compared to the control condition (Figure 5B), while at the protein level the various stretching protocols were found to downregulate the expression of p53 12 h after the completion of stretching (Figure 5C) (see also the transcriptional vs. translational responses of MyoD and Myogenin above).

3.2.4. Inflammation-Related Factors

In parallel with the effects of mechanical loading on the expression of myogenic, hypertrophy/atrophy, and apoptosis-related factors, we examined the effects of mechanical loading variations on the expression of inflammation-related factors in the differentiated cardiomyoblasts. The low-frequency (0.25 Hz)/low-elongation (2%) stretching protocol was found to significantly downregulate the expression of NF-kB and IL-6 and not upregulate the expression of TNF-α (Figure 6A,B,D). Moreover, low-frequency stretching appeared to decrease the expression of IL-6 independently of the magnitude of elongation (Figure 6B). In addition, it was shown that mechanical stretching induces the upregulation of IL-1β regardless of the stretching characteristics (Figure 6C).

3.2.5. Changes in the Activation of Key Intracellular Signalling Mediators

The effects of different loading protocols on the activation of important signalling proteins, associated with cell growth and survival pathways, were also investigated in the H9C2 cardiomyotubes. We found that all stretching protocols used resulted in higher levels of Erk 1/2 phosphorylation compared to the control condition (Figure 7A). In addition, mechanical stretching induced, overall, a higher activation of the Akt pathway compared to the control, while the lower-frequency (0.25 Hz) stretching protocols, particularly, appeared to cause higher phosphorylation levels of Akt compared to high-frequency mechanical loading (Figure 7B).

4. Discussion

This study investigated cellular and molecular events during the differentiation of cardiomyocyte-like H9C2 cells, and compared the effects of various mechanical stretching protocols on signalling and gene expression responses associated with the myogenic lineage and survival program of the differentiated cells. Based on our previous work [29,37], we hypothesized that the molecular responses elicited by these cells following mechanical loading would vary depending on the loading characteristics of the protocols used, revealing the specific detrimental or beneficial effects on the differentiated cardiomyocytes. The main findings of this study were that H9C2 cells possess a myogenic differentiation potential towards a cardiac-like gene expression phenotype, eventually forming multinucleated cardiomyotubes, while altering the strain and frequency of mechanical loading applied on the cardiomyotubes can regulate their anabolic/survival program. Specifically, a main finding of particular interest was that a low-strain/frequency stretching was, overall, the most effective at inducing protein synthesis and myogenic lineage along with the suppression of apoptosis, inflammation, and atrophy in these mechanosensitive cells.
Myogenic differentiation is a highly orchestrated process driven by multiple signal transduction and mechanotransduction pathways, which coordinate the balance between muscle growth and atrophy [24,36,39,40,41]. Cell cycle arrest and morphological alterations appear to accompany the differentiation process of the cardiomyocyte-like H9C2 cells [3]. Following on from previous reports [2,3], the present study further characterized the ability of these cells to exhibit a cardiac myogenic differentiation, as demonstrated by the time course expression of myogenic transcription factors (MRFs) and cardiac-specific markers, as well as by the morphological analyses of these cells during the differentiation process (Figure 1). More specifically, undifferentiated H9C2 cells are mononucleated, exhibiting a normal cell cycle progression; however, their differentiation progressively leads to their fusion into multinucleated cardiomyotubes. This potential was documented by the gradual increase in their fusion and maturation indexes, and the increased expression of the myogenic and cardiac differentiation markers MyHC, actin, and troponin. These alterations were accompanied by the downregulation of the cell cycle regulatory protein Cyclin D1 and the reduced activation of ERK1/2 pathway, attesting to the suppression of proliferation rate of these cells during differentiation (Figure 1B,G–K). In addition, we found that the progression of H9C2 cardiomyoblast differentiation was also accompanied by a gradual increase in p38 activation over time, which has been shown to inhibit the activation of ERK1/2 and to induce cell cycle arrest in adult mammalian cardiomyocytes [42]. Furthermore, and in accordance with previous studies, our study documented the increased phosphorylation of Akt in the differentiating H9C2 cells, which is an important mediator of protein synthesis, a critical process for the completion of myogenic differentiation [40,41] (Figure 2C–E).
Indeed, myogenic differentiation is associated with the induction of anabolic processes and increased protein synthesis [43], while MRFs and growth factors function as activators and/or mediators of muscle cell differentiation [22]. In particular, interactions between MRFs and growth factors, such as IGF-1, have been previously described in skeletal muscle cells [24,44,45] and this study demonstrated a coordinated differential expression of the early (MyoD) versus late (MRF4) myogenic regulators over time in the differentiating H9C2 cardiomyocyte-like cells, while IGF-1 isoforms also exhibited a different regulation during the differentiation process of the cardiomyoblasts. It has been documented that IGF-1 is a key factor involved in myogenesis and is a major regulator of cardiomyocytes development and growth [25,26]; however, to the best of our knowledge, this is the first study examining the distinct expression profiles of IGF-1 isoforms in H9C2 cardiomyoblasts during their differentiation. Specifically, our data showed a persistent upregulation of the IGF-IEa isoform throughout the differentiation process, along with the downregulation of the IGF-1Eb at the advanced stage of differentiation, further supporting the notion of a differential regulation and role of IGF-1 isoforms in muscle biology [28,38,44,46,47,48] and in myocardial remodelling [26,45], but also in other biological systems [49,50,51,52,53,54].
This study further investigated the myogenic and anabolic potential of differentiated H9C2 cells following mechanical loading, since their ability to convert external mechanical stimuli into biochemical signals is critical for the maintenance of their homeostasis and for the adaptation of cardiac muscle to mechanical loading [4,5,55]. Our previous work has shown that different effects on the myogenic lineage of advanced differentiation cardiomyoblasts are elicited by varying the characteristics (i.e., strain, frequency, duration) of mechanical stretching applied on them, indicating specific features of loading for regulating the anabolic/survival program in these cells [29]. Specifically, it was found that, regarding the duration of mechanical loading, an intermediate-duration (12 h) stretching protocol was, overall, the most effective at inducing beneficial responses in the stretched cardiomyoblasts. Thus, in the present study we utilized this “optimum” duration of loading to further explore the effects of strain/frequency variations on myogenic, hypertrophic, anti-apoptotic, and anti-inflammatory responses, and on the activation of major intracellular signalling cascades in cardiomyotubes.
Myogenic differentiation of myoblasts is regulated by MRFs, and while studies have shown that mechanical stimuli affect the expression of these myogenic determinants [56], the responses of MRFs to mechanical loading in cardiomyocytes remain largely unknown [29]. In the new series of loading protocols used in this study, we further revealed that at the “optimum” duration the high-frequency (1 Hz) mechanical loading applied on the differentiated cardiomyocytes may induce lower expression of the myogenic determinants MyoD, Myogenin, and MRF4 compared to low-frequency (0.25 Hz) stretching protocols, regardless of their strain features (Figure 3). Moreover, our findings suggest that these MRFs, at least at this late stage of myogenic differentiation, are responsive to mechanical loading and more sensitive, particularly to low-frequency stretching. Interestingly, this study showed that MRF4 appears to be responsive only to low strain loading, potentially indicating a differential responsiveness of this late myogenic factor to mechanical stimuli due to its distinct role(s) in that stage of the myogenic differentiation program [37].
Mechanical loading of skeletal and cardiac muscle cells can induce the upregulation of many growth factors associated with protein synthesis and cell growth, eventually leading to muscle hypertrophy [27,30,44,57,58]. In particular, the upregulation of IGF-1 has been implicated in the adaptive cardiac hypertrophy induced by mechanical loading, while potentially differential actions of IGF-1 isoforms in the myocardial repair/remodelling process have been proposed [26,59]. Our findings showed that both isoforms were upregulated by low-frequency stretching protocols, while strain appeared to regulate the magnitude of overexpression, with more pronounced increases being exhibited after the high-strain/low-frequency protocol and vice versa.
We further explored the transcriptional responses of skeletal and cardiac muscle atrophy genes Atrogin-1 and Myostatin to the various mechanical stimuli applied on cardiomyoblasts, since both are negatively involved in myogenesis, acting through the ubiquitin–proteasome pathway [31,55,60,61] and actively inhibiting protein synthesis [57,58,62]. Interestingly, we found that, compatibly with the anabolic upregulation of IGF-1 isoforms by low-strain/frequency loading shown in this study, the same protocol was also the only one that did not upregulate those atrophy genes, suggesting that such mechanical loading features may effectively regulate the anabolic program in the differentiated cardiomyoblasts.
Various pro-apoptotic factors may be involved in myogenic differentiation, like FoxO, which seems to be a fate decider within the myogenic program [63] while also inhibiting Akt and Erk1/2 activation, inducing cardiac muscle wasting, and promoting heart failure [33]. Our previous work has shown that FoxO1 is responsive to mechanical loading [29] and the present study further revealed that its expression pattern was similar to that of muscle atrophy factors. In particular, the low-strain/frequency protocol was again the only one that did not induce FoxO1 upregulation, while, as also observed for the atrophy genes, increasing the elongation of stretching at the same low frequency resulted in the upregulation of FoxO1 (Figure 4 and Figure 5). However, different expression responses to the various loading protocols were found for p53, a pro-apoptotic factor that has been proposed to suppress muscle differentiation at the Myogenin step [64]. Indeed, p53 exhibited a reverse expression pattern, both at the transcriptional and translational level, compared with Myogenin responses to the various loading protocols tested (Figure 3 and Figure 5). Our findings suggested that the potential regulatory interactions between p53 and Myogenin within the myogenic differentiation of cardiomyoblasts may be mechanical loading dependent.
Moreover, p53 and its downstream effectors have been proposed to promote an inflammatory cytokine-mediated inhibition of myogenic differentiation [64]. Thus, although many studies have suggested beneficial effects of mechanical stimuli on cardiomyocytes structure and function, nevertheless excessive mechanical loading have been reported to induce cardiac cell apoptosis and the upregulation of muscle atrophy and pro-inflammatory factors [65,66]. Therefore, to further associate mechanical stimuli with the pathophysiology of cardiomyopathies, this study investigated the effects of mechanical loading variations on the expression of inflammation-related factors in the differentiated cardiomyoblasts. Our data showed that, again, the low-strain/frequency stretching protocol resulted in decreased expression of the inflammation-related factors NF-kB and IL-6, while increasing the strain and/or the frequency of stretching was found to increase the expression responses of IL-1β, TNF-α, NF-kB, and IL-6. These findings implied a loading-induced increase of the inflammatory potential in cardiomyotubes, depending on the specific features of mechanical loading. Overall, the findings above indicate a multiple beneficial effect of low-strain/frequency, intermediate-duration (12 h) stretching, as it simultaneously upregulates the myogenic/anabolic program and downregulates atrophy, apoptotic, and inflammatory factors in advanced-differentiation cardiomyocytes.
Lastly, two primary mechanosensitive intracellular pathways appear to require comprehensive identification of their interactions and outcomes within the context of cardiac and myogenic differentiation and their pathophysiological transfer to cardiomyopathy under mechanical stimuli [27,30,31,44]. Specifically, the activation of the phosphatidylinositol 3-kinase (PI3K)/Akt pathway has been implicated in myocardial cells’ survival and their protection against reperfusion-induced injury and apoptosis, while the Ras/Raf/Erk1/2 signalling pathway has been shown to be essential for myocardial hypertrophy [25]. Our previous work has shown a loading-specific activation of these two pathways in differentiated cardiomyocytes in vitro, with the intermediate-duration (12 h) stretching protocol being effective at inducing upregulation of both Erk1/2 and Akt pathways [29]. In the present study, we used this “optimum” intermediate duration of loading to further investigate the effects of frequency and strain variations on the activation of these major signalling pathways. Our new data further revealed that low-frequency loading of cardiomyoblasts may be, overall, more effective at the activation of the signalling mediators Erk1/2 and Akt compared to the high-frequency protocols, regardless of the strain features (Figure 7). These findings suggest that the loading-induced activation of these pathways is not mutually exclusive and may depend on the characteristics of mechanical loading.

5. Conclusions

The in vivo models of loading-induced cardiac adaptations are quite complex and, thus, in vitro models of mechanical loading applied on myocardial cells are crucial for understanding the cellular and molecular mechanisms that mediate loading-induced adaptations. This study further characterized the differentiation process of H9C2 cells towards a cardiac-like phenotype and utilized advanced-differentiation cardiomyocytes in an in vitro model of cell stretching to investigate intracellular molecular events induced by mechanical stimuli. By varying specific characteristics of mechanical loading, we have advanced on previous findings and emphasized the optimal characteristics of mechanical loading in terms of its strain and frequency features for eliciting predominantly beneficial adaptations in the loaded cardiomyotubes. These findings may be a useful resource in translational research for the development of more targeted experimental approaches to mimic adaptive remodelling processes that are possibly driven by mechanotransduction, such as the exercise-induced physiological cardiac hypertrophy or the maladaptive remodelling of the myocardium. Indeed, pathological hypertrophy-, apoptosis-, atrophy-, and inflammation-related responses to mechanical stimuli investigated in this study characterize serious cardiac disorders, such as myocardial infarction, hypertension-induced left ventricular hypertrophy, dilated cardiomyopathy, and heart failure. Elucidation of such novel mechanisms might provide novel therapeutic targets and help us develop future pharmacotherapies to treat mechanical loading-associated cardiomyopathies.

Author Contributions

E.Z. designed and performed the experiments, analysed data, and wrote the manuscript; A.M. contributed to the experimental process; A.C. analysed data and reviewed the manuscript; A.P. and M.K. conceived of and designed the experiments, analysed data, and wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hescheler, J.; Meyer, R.; Plant, S.; Krautwurst, D.; Rosenthal, W.; Schultz, G. Morphological, biochemical, and electrophysiological characterization of a clonal cell (H9c2) line from rat heart. Circ. Res. 1991, 69, 1476–1486. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Lenco, J.; Lencova-Popelova, O.; Link, M.; Jirkovska, A.; Tambor, V.; Potuckova, E.; Stulik, J.; Simunek, T.; Sterba, M. Proteomic investigation of embryonic rat heart-derived H9c2 cell line sheds new light on the molecular phenotype of the popular cell model. Exp. Cell Res. 2015, 339, 174–186. [Google Scholar] [CrossRef] [PubMed]
  3. Branco, A.F.; Pereira, S.P.; Gonzalez, S.; Gusev, O.; Rizvanov, A.A.; Oliveira, P.J. Gene expression profiling of H9c2 myoblast differentiation towards a cardiac-like phenotype. PLoS ONE 2015, 10, e0129303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. McCain, M.L.; Parker, K.K. Mechanotransduction: The role of mechanical stress, myocyte shape, and cytoskeletal architecture on cardiac function. Pflug. Arch 2011, 462, 89–104. [Google Scholar] [CrossRef]
  5. Takahashi, K.; Kakimoto, Y.; Toda, K.; Naruse, K. Mechanobiology in cardiac physiology and diseases. J. Cell. Mol. Med. 2013, 17, 225–232. [Google Scholar] [CrossRef]
  6. Palmieri, E.A.; Benincasa, G.; Di Rella, F.; Casaburi, C.; Monti, M.G.; De Simone, G.; Chiariotti, L.; Palombini, L.; Bruni, C.B.; Sacca, L.; et al. Differential expression of TNF-alpha, IL-6, and IGF-1 by graded mechanical stress in normal rat myocardium. Am. J. Physiol. Heart Circ. Physiol. 2002, 282, H926–H934. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Chin, I.L.; Hool, L.; Choi, Y.S. A review of in vitro platforms for understanding cardiomyocyte mechanobiology. Front. Bioeng. Biotechnol. 2019, 7, 133. [Google Scholar] [CrossRef] [Green Version]
  8. Martino, F.; Perestrelo, A.R.; Vinarsky, V.; Pagliari, S.; Forte, G. Cellular mechanotransduction: From tension to function. Front. Physiol. 2018, 9, 824. [Google Scholar] [CrossRef]
  9. Saucerman, J.J.; Tan, P.M.; Buchholz, K.S.; McCulloch, A.D.; Omens, J.H. Mechanical regulation of gene expression in cardiac myocytes and fibroblasts. Nat. Rev. Cardiol. 2019, 16, 361–378. [Google Scholar] [CrossRef]
  10. Huang, H.; Kamm, R.D.; Lee, R.T. Cell mechanics and mechanotransduction: Pathways, probes, and physiology. Am. J. Physiol. Cell Physiol. 2004, 287, C1–C11. [Google Scholar] [CrossRef]
  11. Teng, E.L.; Engler, A.J. Mechanical influences on cardiovascular differentiation and disease modeling. Exp. Cell Res. 2019, 377, 103–108. [Google Scholar] [CrossRef]
  12. Jacot, J.G.; McCulloch, A.D.; Omens, J.H. Substrate stiffness affects the functional maturation of neonatal rat ventricular myocytes. Biophys. J. 2008, 95, 3479–3487. [Google Scholar] [CrossRef] [Green Version]
  13. Jacot, J.G.; Kita-Matsuo, H.; Wei, K.A.; Chen, H.S.; Omens, J.H.; Mercola, M.; McCulloch, A.D. Cardiac myocyte force development during differentiation and maturation. Ann. N. Y. Acad. Sci. 2010, 1188, 121–127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Rysa, J.; Tokola, H.; Ruskoaho, H. Mechanical stretch induced transcriptomic profiles in cardiac myocytes. Sci. Rep. 2018, 8, 4733. [Google Scholar] [CrossRef] [PubMed]
  15. Zhao, L.; Cheng, G.; Jin, R.; Afzal, M.R.; Samanta, A.; Xuan, Y.T.; Girgis, M.; Elias, H.K.; Zhu, Y.; Davani, A.; et al. Deletion of Interleukin-6 attenuates pressure overload-induced left ventricular hypertrophy and dysfunction. Circ. Res. 2016, 118, 1918–1929. [Google Scholar] [CrossRef] [PubMed]
  16. Tzanis, G.; Philippou, A.; Karatzanos, E.; Dimopoulos, S.; Kaldara, E.; Nana, E.; Pitsolis, T.; Rontogianni, D.; Koutsilieris, M.; Nanas, S. Effects of high-intensity interval exercise training on skeletal myopathy of chronic heart failure. J. Card. Fail. 2017, 23, 36–46. [Google Scholar] [CrossRef] [PubMed]
  17. Halapas, A.; Papalois, A.; Stauropoulou, A.; Philippou, A.; Pissimissis, N.; Chatzigeorgiou, A.; Kamper, E.; Koutsilieris, M. In vivo models for heart failure research. In Vivo 2008, 22, 767–780. [Google Scholar] [PubMed]
  18. Philippou, A.; Tryfonos, A.; Theos, A.; Nezos, A.; Halapas, A.; Maridaki, M.; Koutsilieris, M. Expression of tissue remodelling, inflammation- and angiogenesis-related factors after eccentric exercise in humans. Mol. Biol. Rep. 2021, 48, 4047–4054. [Google Scholar] [CrossRef]
  19. Tryfonos, A.; Tzanis, G.; Pitsolis, T.; Karatzanos, E.; Koutsilieris, M.; Nanas, S.; Philippou, A. Exercise training enhances angiogenesis-related gene responses in skeletal muscle of patients with chronic heart failure. Cells 2021, 10, 1915. [Google Scholar] [CrossRef]
  20. Krueger, W.; Bender, N.; Haeusler, M.; Henneberg, M. The role of mechanotransduction in heart failure pathobiology-a concise review. Heart Fail. Rev. 2021, 26, 981–995. [Google Scholar] [CrossRef]
  21. Branco, A.F.; Pereira, S.L.; Moreira, A.C.; Holy, J.; Sardao, V.A.; Oliveira, P.J. Isoproterenol cytotoxicity is dependent on the differentiation state of the cardiomyoblast H9c2 cell line. Cardiovasc. Toxicol. 2011, 11, 191–203. [Google Scholar] [CrossRef] [PubMed]
  22. Asfour, H.A.; Allouh, M.Z.; Said, R.S. Myogenic regulatory factors: The orchestrators of myogenesis after 30 years of discovery. Exp. Biol. Med. 2018, 243, 118–128. [Google Scholar] [CrossRef] [PubMed]
  23. Kopantseva, E.E.; Belyavsky, A.V. Key regulators of skeletal myogenesis. Mol. Biol. 2016, 50, 195–222. [Google Scholar] [CrossRef]
  24. Karalaki, M.; Fili, S.; Philippou, A.; Koutsilieris, M. Muscle regeneration: Cellular and molecular events. In Vivo 2009, 23, 779–796. [Google Scholar] [PubMed]
  25. Mutlak, M.; Kehat, I. Extracellular signal-regulated kinases 1/2 as regulators of cardiac hypertrophy. Front. Pharmacol. 2015, 6, 149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Stavropoulou, A.; Halapas, A.; Sourla, A.; Philippou, A.; Papageorgiou, P.; Papalois, A.; Koutsilieris, M. IGF-1 expression in infarcted myocardium and MGF E peptide actions in rat cardiomyocytes in vitro. Mol. Med. 2009, 15, 127–135. [Google Scholar] [CrossRef] [PubMed]
  27. Honsho, S.; Nishikawa, S.; Amano, K.; Zen, K.; Adachi, Y.; Kishita, E.; Matsui, A.; Katsume, A.; Yamaguchi, S.; Nishikawa, K.; et al. Pressure-mediated hypertrophy and mechanical stretch induces IL-1 release and subsequent IGF-1 generation to maintain compensative hypertrophy by affecting Akt and JNK pathways. Circ. Res. 2009, 105, 1149–1158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Philippou, A.; Halapas, A.; Maridaki, M.; Koutsilieris, M. Type I insulin-like growth factor receptor signaling in skeletal muscle regeneration and hypertrophy. J. Musculoskelet. Neuronal Interact. 2007, 7, 208–218. [Google Scholar]
  29. Zevolis, E.; Philippou, A.; Moustogiannis, A.; Chatzigeorgiou, A.; Koutsilieris, M. Optimizing mechanical stretching protocols for hypertrophic and anti-apoptotic responses in cardiomyocyte-like H9C2 cells. Mol. Biol. Rep. 2021, 48, 645–655. [Google Scholar] [CrossRef]
  30. Sardao, V.A.; Oliveira, P.J.; Holy, J.; Oliveira, C.R.; Wallace, K.B. Doxorubicin-induced mitochondrial dysfunction is secondary to nuclear p53 activation in H9c2 cardiomyoblasts. Cancer Chemother. Pharm. 2009, 64, 811–827. [Google Scholar] [CrossRef]
  31. Glass, D.J. Signalling pathways that mediate skeletal muscle hypertrophy and atrophy. Nat. Cell Biol. 2003, 5, 87–90. [Google Scholar] [CrossRef] [PubMed]
  32. Cheng, W.P.; Wang, B.W.; Lo, H.M.; Shyu, K.G. Mechanical stretch induces apoptosis regulator TRB3 in cultured cardiomyocytes and volume-overloaded heart. PLoS ONE 2015, 10, e0123235. [Google Scholar] [CrossRef] [PubMed]
  33. Zhang, X.; Tang, N.; Hadden, T.J.; Rishi, A.K. Akt, FoxO and regulation of apoptosis. Biochim. Biophys. Acta Mol. Cell Res. 2011, 1813, 1978–1986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Moustogiannis, A.; Philippou, A.; Taso, O.; Zevolis, E.; Pappa, M.; Chatzigeorgiou, A.; Koutsilieris, M. The effects of muscle cell aging on myogenesis. Int. J. Mol. Sci. 2021, 22, 3721. [Google Scholar] [CrossRef] [PubMed]
  35. Lindner, D.; Zietsch, C.; Tank, J.; Sossalla, S.; Fluschnik, N.; Hinrichs, S.; Maier, L.; Poller, W.; Blankenberg, S.; Schultheiss, H.P.; et al. Cardiac fibroblasts support cardiac inflammation in heart failure. Basic Res. Cardiol. 2014, 109, 428. [Google Scholar] [CrossRef]
  36. Shyni, G.L.; Renjitha, J.; Somappa, B.S.; Raghu, K.G. Zerumin A attenuates the inflammatory responses in LPS-stimulated H9c2 cardiomyoblasts. J. Biochem. Mol. Toxicol. 2021, 35, 1–11. [Google Scholar] [CrossRef]
  37. Moustogiannis, A.; Philippou, A.; Zevolis, E.; Taso, O.; Chatzigeorgiou, A.; Koutsilieris, M. Characterization of optimal strain, frequency and duration of mechanical loading on skeletal myotubes’ biological responses. In Vivo 2020, 34, 1779–1788. [Google Scholar] [CrossRef]
  38. Philippou, A.; Papageorgiou, E.; Bogdanis, G.; Halapas, A.; Sourla, A.; Maridaki, M.; Pissimissis, N.; Koutsilieris, M. Expression of IGF-1 isoforms after exercise-induced muscle damage in humans: Characterization of the MGF E peptide actions in vitro. In Vivo 2009, 23, 567–575. [Google Scholar]
  39. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 2012, 9, 671–675. [Google Scholar] [CrossRef]
  40. Wu, F.; Gao, A.; Liu, J.; Shen, Y.; Xu, P.; Meng, J.; Wen, T.; Xu, L.; Xu, H. High modulus conductive hydrogels enhance in vitro maturation and contractile function of primary cardiomyocytes for uses in drug screening. Adv. Healthc. Mater. 2018, 7, e1800990. [Google Scholar] [CrossRef]
  41. Mei, C.; Chao, C.W.; Lin, C.W.; Li, S.T.; Wu, K.H.; Yang, K.C.; Yu, J. Three-dimensional spherical gelatin bubble-based scaffold improves the myotube formation of H9c2 myoblasts. Biotechnol. Bioeng. 2019, 116, 1190–1200. [Google Scholar] [CrossRef] [PubMed]
  42. Engel, F.B.; Schebesta, M.; Duong, M.T.; Lu, G.; Ren, S.; Madwed, J.B.; Jiang, H.; Wang, Y.; Keating, M.T. p38 MAP kinase inhibition enables proliferation of adult mammalian cardiomyocytes. Genes Dev. 2005, 19, 1175–1187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Kankeu, C.; Clarke, K.; Van Haver, D.; Gevaert, K.; Impens, F.; Dittrich, A.; Roderick, H.L.; Passante, E.; Huber, H.J. Quantitative proteomics and systems analysis of cultured H9C2 cardiomyoblasts during differentiation over time supports a ‘function follows form’ model of differentiation. Mol. Omics 2018, 14, 181–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Roberston, M.J.; Raghunathan, S.; Potaman, V.N.; Zhang, F.; Stewart, M.D.; McConnell, B.K.; Schwartz, R.J. CRISPR-Cas9-induced IGF1 gene activation as a tool for enhancing muscle differentiation via multiple isoform expression. FASEB J. 2020, 34, 555–570. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Vinciguerra, M.; Santini, M.P.; Claycomb, W.C.; Ladurner, A.G.; Rosenthal, N. Local IGF-1 isoform protects cardiomyocytes from hypertrophic and oxidative stresses via SirT1 activity. Aging 2009, 2, 43–62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Philippou, A.; Maridaki, M.; Halapas, A.; Koutsilieris, M. The role of the insulin-like growth factor 1 (IGF-1) in skeletal muscle physiology. In Vivo 2007, 21, 45–54. [Google Scholar]
  47. Philippou, A.; Maridaki, M.; Pneumaticos, S.; Koutsilieris, M. The complexity of the IGF1 gene splicing, posttranslational modification and bioactivity. Mol. Med. 2014, 20, 202–214. [Google Scholar] [CrossRef]
  48. Papageorgiou, E.; Philippou, A.; Armakolas, A.; Christopoulos, P.F.; Dimakakos, A.; Koutsilieris, M. The human Ec peptide: The active core of a progression growth factor with species-specific mode of action. Hormones 2016, 15, 423–434. [Google Scholar] [CrossRef]
  49. Philippou, A.; Armakolas, A.; Panteleakou, Z.; Pissimissis, N.; Nezos, A.; Theos, A.; Kaparelou, M.; Armakolas, N.; Pneumaticos, S.G.; Koutsilieris, M. IGF1Ec expression in MG-63 human osteoblast-like osteosarcoma cells. Anticancer Res. 2011, 31, 4259–4265. [Google Scholar]
  50. Philippou, A.; Armakolas, A.; Koutsilieris, M. Evidence for the possible biological significance of the igf-1 gene alternative splicing in prostate cancer. Front. Endocrinol. 2013, 4, 31. [Google Scholar] [CrossRef] [Green Version]
  51. Armakolas, A.; Philippou, A.; Panteleakou, Z.; Nezos, A.; Sourla, A.; Petraki, C.; Koutsilieris, M. Preferential expression of IGF-1Ec (MGF) transcript in cancerous tissues of human prostate: Evidence for a novel and autonomous growth factor activity of MGF E peptide in human prostate cancer cells. Prostate 2010, 70, 1233–1242. [Google Scholar] [CrossRef] [PubMed]
  52. Milingos, D.S.; Philippou, A.; Armakolas, A.; Papageorgiou, E.; Sourla, A.; Protopapas, A.; Liapi, A.; Antsaklis, A.; Mastrominas, M.; Koutsilieris, M. Insulinlike growth factor-1Ec (MGF) expression in eutopic and ectopic endometrium: Characterization of the MGF E-peptide actions in vitro. Mol. Med. 2011, 17, 21–28. [Google Scholar] [CrossRef] [PubMed]
  53. Vassilakos, G.; Philippou, A.; Tsakiroglou, P.; Koutsilieris, M. Biological activity of the e domain of the IGF-1Ec as addressed by synthetic peptides. Hormones 2014, 13, 182–196. [Google Scholar] [CrossRef] [PubMed]
  54. Vassilakos, G.; Philippou, A.; Koutsilieris, M. Identification of the IGF-1 processing product human Ec/rodent Eb peptide in various tissues: Evidence for its differential regulation after exercise-induced muscle damage in humans. Growth Horm. IGF Res. 2017, 32, 22–28. [Google Scholar] [CrossRef] [PubMed]
  55. Jogo, M.; Shiraishi, S.; Tamura, T.A. Identification of MAFbx as a myogenin-engaged F-box protein in SCF ubiquitin ligase. FEBS Lett. 2009, 583, 2715–2719. [Google Scholar] [CrossRef] [Green Version]
  56. Abe, S.; Rhee, S.; Iwanuma, O.; Hiroki, E.; Yanagisawa, N.; Sakiyama, K.; Ide, Y. Effect of mechanical stretching on expressions of muscle specific transcription factors MyoD, Myf-5, myogenin and MRF4 in proliferated myoblasts. Anat. Histol. Embryol. 2009, 38, 305–310. [Google Scholar] [CrossRef]
  57. Sharples, A.P.; Stewart, C.E. Myoblast models of skeletal muscle hypertrophy and atrophy. Curr. Opin. Clin. Nutr. Metab. Care 2011, 14, 230–236. [Google Scholar] [CrossRef] [Green Version]
  58. Langley, B.; Thomas, M.; Bishop, A.; Sharma, M.; Gilmour, S.; Kambadur, R. Myostatin inhibits myoblast differentiation by down-regulating MyoD expression. J. Biol. Chem. 2002, 277, 49831–49840. [Google Scholar] [CrossRef] [Green Version]
  59. Philippou, A.; Maridaki, M.; Karatzas, T.; Koutsilieris, M. The multiple actions of the insulin-like growth factor-I signaling in the myocardium. In Introduction to Translational Cardiovascular Research; Springer: Cham, Switzerland, 2014; pp. 187–204. [Google Scholar]
  60. Gumucio, J.P.; Mendias, C.L. Atrogin-1, MuRF-1, and sarcopenia. Endocrine 2013, 43, 12–21. [Google Scholar] [CrossRef]
  61. Yang, Y.; Jemiolo, B.; Trappe, S. Proteolytic mRNA expression in response to acute resistance exercise in human single skeletal muscle fibers. J. Appl. Physiol. 2006, 101, 1442–1450. [Google Scholar] [CrossRef]
  62. McPherron, A.C.; Lawler, A.M.; Lee, S.J. Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member. Nature 1997, 387, 83–90. [Google Scholar] [CrossRef] [PubMed]
  63. Kitamura, T.; Kitamura, Y.I.; Funahashi, Y.; Shawber, C.J.; Castrillon, D.H.; Kollipara, R.; DePinho, R.A.; Kitajewski, J.; Accili, D. A Foxo/Notch pathway controls myogenic differentiation and fiber type specification. J. Clin. Investig. 2007, 117, 2477–2485. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Yang, Z.J.; Broz, D.K.; Noderer, W.L.; Ferreira, J.P.; Overton, K.W.; Spencer, S.L.; Meyer, T.; Tapscott, S.J.; Attardi, L.D.; Wang, C.L. p53 suppresses muscle differentiation at the myogenin step in response to genotoxic stress. Cell Death Differ. 2015, 22, 560–573. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Tan, P.M.; Buchholz, K.S.; Omens, J.H.; McCulloch, A.D.; Saucerman, J.J. Predictive model identifies key network regulators of cardiomyocyte mechano-signaling. PLoS Comput. Biol. 2017, 13, e1005854. [Google Scholar] [CrossRef] [Green Version]
  66. Jia, L.X.; Zhang, W.M.; Zhang, H.J.; Li, T.T.; Wang, Y.L.; Qin, Y.W.; Gu, H.; Du, J. Mechanical stretch-induced endoplasmic reticulum stress, apoptosis and inflammation contribute to thoracic aortic aneurysm and dissection. J. Pathol. 2015, 236, 373–383. [Google Scholar] [CrossRef] [Green Version]
Figure 1. (A) Cell cycle progression of undifferentiated H9C2 cardiomyoblasts. Percentages of cells in each phase represent a normal cell cycle phenotype of H9C2 cardiomyoblasts. (B,C,N) Expression of cell cycle regulator Cyclin D1 and cardiac-specific markers during H9C2cardiomyoblast differentiation. Quantitative transcriptional analysis of Cyclin D1 revealed its downregulation during the differentiation process of cardiomyoblasts (B), along with the upregulation of the cardiac-specific markers troponin (C) and actin (N) (representative Western blot and immunoblotting quantification of cardiac actin). (DF) Myogenic regulatory factors’ expression during cardiomyoblast differentiation. Quantitative analysis of the mRNA expression of muscle-specific transcription factors MyoD1, Myogenin, and MRF4 revealed a differential expression pattern, e.g., of early (MyoD1) vs. late (MRF4) myogenic factors in cardiomyoblasts during their differentiation. (L,M) Representative Western blots and immunoblotting quantification of MyoD (L) and Myogenin (M) protein expression are given. The mRNA expression values of each gene of interest have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes. The expression of the proteins was also normalized to each corresponding GAPDH on the same immunoblot. The same blot has been used for GAPDH in (LN). (IK) Morphology-based analysis of H9C2 cardiomyoblasts during differentiation. Brightfield microscopy shows cardiomyoblast alterations over time during their differentiation process (I). Morphology alterations were further analysed using fluorescent DAPI, Phalloidin (J), and MyHC (K) immunostaining, documenting that these cells possess a myogenic differentiation potential. (G,H) Fusion and maturation index. Fusion index and (G) maturation index (H) values were calculated in cardiomyotubes immunostained with MyHC. Myotubes were considered differentiated cells that contained more than three nuclei. The fusion index was defined as the percentage of nuclei present in myotubes over the total number of nuclei present in the observed field, while the maturation index was defined as the percentage of nuclei present in myotubes that contained more than 10 nuclei over the total number of nuclei present in the observed field. Data were selected from 20 different and randomly chosen microscopic fields. Significantly different compared to day 0, p < 0.05; •• p < 0.01; ••• p < 0.001. Significantly different compared to day 3, p < 0.05; ▪▪ p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Figure 1. (A) Cell cycle progression of undifferentiated H9C2 cardiomyoblasts. Percentages of cells in each phase represent a normal cell cycle phenotype of H9C2 cardiomyoblasts. (B,C,N) Expression of cell cycle regulator Cyclin D1 and cardiac-specific markers during H9C2cardiomyoblast differentiation. Quantitative transcriptional analysis of Cyclin D1 revealed its downregulation during the differentiation process of cardiomyoblasts (B), along with the upregulation of the cardiac-specific markers troponin (C) and actin (N) (representative Western blot and immunoblotting quantification of cardiac actin). (DF) Myogenic regulatory factors’ expression during cardiomyoblast differentiation. Quantitative analysis of the mRNA expression of muscle-specific transcription factors MyoD1, Myogenin, and MRF4 revealed a differential expression pattern, e.g., of early (MyoD1) vs. late (MRF4) myogenic factors in cardiomyoblasts during their differentiation. (L,M) Representative Western blots and immunoblotting quantification of MyoD (L) and Myogenin (M) protein expression are given. The mRNA expression values of each gene of interest have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes. The expression of the proteins was also normalized to each corresponding GAPDH on the same immunoblot. The same blot has been used for GAPDH in (LN). (IK) Morphology-based analysis of H9C2 cardiomyoblasts during differentiation. Brightfield microscopy shows cardiomyoblast alterations over time during their differentiation process (I). Morphology alterations were further analysed using fluorescent DAPI, Phalloidin (J), and MyHC (K) immunostaining, documenting that these cells possess a myogenic differentiation potential. (G,H) Fusion and maturation index. Fusion index and (G) maturation index (H) values were calculated in cardiomyotubes immunostained with MyHC. Myotubes were considered differentiated cells that contained more than three nuclei. The fusion index was defined as the percentage of nuclei present in myotubes over the total number of nuclei present in the observed field, while the maturation index was defined as the percentage of nuclei present in myotubes that contained more than 10 nuclei over the total number of nuclei present in the observed field. Data were selected from 20 different and randomly chosen microscopic fields. Significantly different compared to day 0, p < 0.05; •• p < 0.01; ••• p < 0.001. Significantly different compared to day 3, p < 0.05; ▪▪ p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g001
Figure 2. (A,B) IGF-1 isoforms’ expression during cardiomyoblasts differentiation. Quantitative analysis of IGF-1Ea and IGF-1Eb mRNA expression in cardiomyoblasts during their differentiation. (CE) Alterations in the activation of the signalling proteins Akt, Erk1/2, and p38. Representative Western blots and immunoblotting quantification of p-Akt, p-Erk1/2, and p-p38phosphorylation in cardiomyoblasts during their differentiation process. The values of the phosphorylated proteins were normalized to each corresponding GAPDH on the same immunoblot. Significantly different compared to day 0, p < 0.05; •• p < 0.01; ••• p < 0.001. Significantly different compared to day 3, ▪▪▪ p < 0.001. Mean + SE of three independent experiments performed in triplicate.
Figure 2. (A,B) IGF-1 isoforms’ expression during cardiomyoblasts differentiation. Quantitative analysis of IGF-1Ea and IGF-1Eb mRNA expression in cardiomyoblasts during their differentiation. (CE) Alterations in the activation of the signalling proteins Akt, Erk1/2, and p38. Representative Western blots and immunoblotting quantification of p-Akt, p-Erk1/2, and p-p38phosphorylation in cardiomyoblasts during their differentiation process. The values of the phosphorylated proteins were normalized to each corresponding GAPDH on the same immunoblot. Significantly different compared to day 0, p < 0.05; •• p < 0.01; ••• p < 0.001. Significantly different compared to day 3, ▪▪▪ p < 0.001. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g002
Figure 3. (AC) Effects of cyclic mechanical loading on the expression of myogenic regulatory factors (MRFs). Quantitative analysis of transcriptional responses of (A) MyoD1, (B) Myogenin, and (C) MRF4 in differentiated cardiomyocytes subjected to different mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). (D,E) The mRNA values of MRFs in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Representative Western blots and immunoblotting quantification of MyoD (D) and Myogenin (E) subjected to the various mechanical loading conditions compared to the control; the proteins of interest were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, Figure 5C, and Figure 7A,B, except from the blot of GAPDH in panel A for the 2%/1 Hz stretching protocol. Significantly different compared to the control, * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05. Mean + SE of three independent experiments performed in triplicate.
Figure 3. (AC) Effects of cyclic mechanical loading on the expression of myogenic regulatory factors (MRFs). Quantitative analysis of transcriptional responses of (A) MyoD1, (B) Myogenin, and (C) MRF4 in differentiated cardiomyocytes subjected to different mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). (D,E) The mRNA values of MRFs in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Representative Western blots and immunoblotting quantification of MyoD (D) and Myogenin (E) subjected to the various mechanical loading conditions compared to the control; the proteins of interest were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, Figure 5C, and Figure 7A,B, except from the blot of GAPDH in panel A for the 2%/1 Hz stretching protocol. Significantly different compared to the control, * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g003
Figure 4. (A,B) Effects of mechanical stretching on the expression of the IGF-1 isoforms. Quantitative analysis of (A) IGF-1Ea and (B) IGF-1Eb mRNA levels in differentiated cardiomyocytes subjected to different mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). The transcriptional responses of IGF-1 isoforms in stretched cardiomyocytes have been normalized to the corresponding GAPDH values and are expressed as fold changes compared to the control. (C,D) Effects of mechanical stretch on the expression of muscle atrophy factors. Quantitative analysis of (C) Myostatin and (D) Atrogin 1 mRNA expression in differentiated cardiomyocytes subjected to the various mechanical loading conditions compared to the control (nonstretched myotubes); The mRNA values of the genes of interest in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Significantly different compared to the control, * p < 0.05; ** p < 0.01. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05; ## p < 0.01; ### p < 0.001. Significantly different compared to the 12%/ 0.25 Hz stretching protocol, $$ p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Figure 4. (A,B) Effects of mechanical stretching on the expression of the IGF-1 isoforms. Quantitative analysis of (A) IGF-1Ea and (B) IGF-1Eb mRNA levels in differentiated cardiomyocytes subjected to different mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). The transcriptional responses of IGF-1 isoforms in stretched cardiomyocytes have been normalized to the corresponding GAPDH values and are expressed as fold changes compared to the control. (C,D) Effects of mechanical stretch on the expression of muscle atrophy factors. Quantitative analysis of (C) Myostatin and (D) Atrogin 1 mRNA expression in differentiated cardiomyocytes subjected to the various mechanical loading conditions compared to the control (nonstretched myotubes); The mRNA values of the genes of interest in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Significantly different compared to the control, * p < 0.05; ** p < 0.01. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05; ## p < 0.01; ### p < 0.001. Significantly different compared to the 12%/ 0.25 Hz stretching protocol, $$ p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g004
Figure 5. (A,B) Effects of mechanical loading on the expression of pro-apoptotic factors. Quantitative analysis of (A) FoxO1 and (B) p53 mRNA expression in differentiated cardiomyocytes subjected to various mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes); the transcriptional responses of pro-apoptotic factors in stretched myotubes have been normalized to the corresponding GAPDH mRNA values and are expressed as fold changes compared to the control. (C) Representative Western blots and immunoblotting quantification of p53 subjected to the different stretching protocols compared to the control (nonstretched myotubes). The p53 protein levels were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, Figure 5C, and Figure 7A,B, except from the blot of GAPDH in panel A for the 2%/1 Hz stretching protocol, Significantly different compared to the control, * p < 0.05; ** p < 0.01. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05; ## p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Figure 5. (A,B) Effects of mechanical loading on the expression of pro-apoptotic factors. Quantitative analysis of (A) FoxO1 and (B) p53 mRNA expression in differentiated cardiomyocytes subjected to various mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes); the transcriptional responses of pro-apoptotic factors in stretched myotubes have been normalized to the corresponding GAPDH mRNA values and are expressed as fold changes compared to the control. (C) Representative Western blots and immunoblotting quantification of p53 subjected to the different stretching protocols compared to the control (nonstretched myotubes). The p53 protein levels were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, Figure 5C, and Figure 7A,B, except from the blot of GAPDH in panel A for the 2%/1 Hz stretching protocol, Significantly different compared to the control, * p < 0.05; ** p < 0.01. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05; ## p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g005
Figure 6. (AD) Effects of mechanical loading on the expression of pro-inflammatory factors. Quantitative analysis of (A) NF-kB, (B) IL-6, (C) IL-1β, and (D) TNF-α transcriptional responses of differentiated cardiomyocytes subjected to various mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). The mRNA values of inflammation-related factors in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Significantly different compared to the control, * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to 2%/0.25 Hz stretching protocol, # p < 0.05; ### p < 0.001. Significantly different compared to the 12%/0.25 Hz stretching protocol, @@@ p < 0.001. Mean + SE of three independent experiments performed in triplicate.
Figure 6. (AD) Effects of mechanical loading on the expression of pro-inflammatory factors. Quantitative analysis of (A) NF-kB, (B) IL-6, (C) IL-1β, and (D) TNF-α transcriptional responses of differentiated cardiomyocytes subjected to various mechanical stretching protocols compared to the control (Ctr; nonstretched myotubes). The mRNA values of inflammation-related factors in stretched myotubes have been normalized to the corresponding GAPDH mRNA and are expressed as fold changes compared to the control. Significantly different compared to the control, * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to 2%/0.25 Hz stretching protocol, # p < 0.05; ### p < 0.001. Significantly different compared to the 12%/0.25 Hz stretching protocol, @@@ p < 0.001. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g006
Figure 7. (A,B) Effects of cyclic mechanical stretching on the activation of the signalling proteins Akt and Erk1/2. Representative Western blots and immunoblotting quantification of (A) p-Erk1/2 and (B) p-Akt phosphorylation in cardiomyoblasts subjected to different mechanical loading protocols compared to the control (Ctr; nonstretched myotubes). The values of the phosphorylated proteins were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, in Figure 5C, and in Figure 7A,B except for the blot of GAPDH in (A) for the 2%/1 Hz stretching protocol. Significantly different compared to the control * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05. Significantly different compared to the 2%/1 Hz stretching protocol, $$ p < 0.01. Significantly different compared to the 12%/1 Hz stretching protocol, && p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Figure 7. (A,B) Effects of cyclic mechanical stretching on the activation of the signalling proteins Akt and Erk1/2. Representative Western blots and immunoblotting quantification of (A) p-Erk1/2 and (B) p-Akt phosphorylation in cardiomyoblasts subjected to different mechanical loading protocols compared to the control (Ctr; nonstretched myotubes). The values of the phosphorylated proteins were normalized to each corresponding GAPDH on the same immunoblot. The same blots have been used for GAPDH in Figure 3D,E, in Figure 5C, and in Figure 7A,B except for the blot of GAPDH in (A) for the 2%/1 Hz stretching protocol. Significantly different compared to the control * p < 0.05; ** p < 0.01; *** p < 0.001. Significantly different compared to the 2%/0.25 Hz stretching protocol, # p < 0.05. Significantly different compared to the 2%/1 Hz stretching protocol, $$ p < 0.01. Significantly different compared to the 12%/1 Hz stretching protocol, && p < 0.01. Mean + SE of three independent experiments performed in triplicate.
Cells 11 00473 g007
Table 1. The sequences of the specific sets of primers used for RT-PCR analyses.
Table 1. The sequences of the specific sets of primers used for RT-PCR analyses.
Target Gene5′-3′ (Forward) Primer Sequence5′-3′ (Reverse) Primer Sequence
GAPDHCAA CTC CCT CAA GAT TGT CAG CAAGGC ATG GAC TGT GGT CAT GA
MYODTGC TCC TTT GAG ACA GCA GAAGT AGG GAA GTG TGC GTG CT
MYOGENINAGG AGA GAA AGA TGG AGT CCA GAGTAA CAA AAG AAG TCA CCC CAA GAG
MRF4AGG GCT CTC CTT TGT ATC CAGTGG AAG AAA GGC GCT GAA GA
cTnTGCG GAA GAG TGG GAA GAG ACACCA CAG CTC CTT GGC CTT CT
CYCLIN D1TCA AGT GTG ACC CGG ACT GATG TCC ACA TCT CGC ACG TC
IGF-1EaGTG GAC GCT CTT CAG TTC GTGCT TCC TTT TCT TGT GTG TCG ATA G
IGF-1EbGTC CCC AGC ACA CAT CGC GTCT TTT GTG CAA AAT AAG GCG TA
p53GAG AGA CCG CCG TAC AGA AGAGC AGT TTG GGC TTT CCT CC
FoxO1AGT GGA TGG TGA AGA GCG TGGAA GGG ACA GAT TGT GGC GA
TNF-αCTC TTC TGC CTG CTG CAG TTGATG GGC TAC AGG CTT GTC ACT C
NF-kBATA GGC ACT GTC TTC TTT CAC CTCATA GGC ACT GTC TTC TTT CAC CTC
IL-6CCT TCC TAC CCC AAT TTC CAA TAAC GCA CTA GGT TTG CCG AGT A
IL-1βATC CCA AGC AAT ACC CAA AGGTG CTG ATG TAC CAG TTG GG
ATROGIN-1AAC AAG GAG GTA TAC AGT AAG GAAT TGT TCA TGA AGT TCT TTT G
MYOSTATINCTG TAA CCT TCC CAG GAC CAGCA GTC AAG CCC AAA GTC TC
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zevolis, E.; Philippou, A.; Moustogiannis, A.; Chatzigeorgiou, A.; Koutsilieris, M. The Effects of Mechanical Loading Variations on the Hypertrophic, Anti-Apoptotic, and Anti-Inflammatory Responses of Differentiated Cardiomyocyte-like H9C2 Cells. Cells 2022, 11, 473. https://doi.org/10.3390/cells11030473

AMA Style

Zevolis E, Philippou A, Moustogiannis A, Chatzigeorgiou A, Koutsilieris M. The Effects of Mechanical Loading Variations on the Hypertrophic, Anti-Apoptotic, and Anti-Inflammatory Responses of Differentiated Cardiomyocyte-like H9C2 Cells. Cells. 2022; 11(3):473. https://doi.org/10.3390/cells11030473

Chicago/Turabian Style

Zevolis, Evangelos, Anastassios Philippou, Athanasios Moustogiannis, Antonios Chatzigeorgiou, and Michael Koutsilieris. 2022. "The Effects of Mechanical Loading Variations on the Hypertrophic, Anti-Apoptotic, and Anti-Inflammatory Responses of Differentiated Cardiomyocyte-like H9C2 Cells" Cells 11, no. 3: 473. https://doi.org/10.3390/cells11030473

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop