Open Access Article
Camila
Vesga-Castro
ab,
Laura
Mosqueira-Martín
cde,
Paul
Ubiria-Urkola
ab,
Pablo
Marco-Moreno
cde,
Klaudia
González-Imaz
cde,
Jorge
Rendon-Hinestroza
cd,
Ainara
Vallejo-Illarramendi
*cde and
Jacobo
Paredes
*ab
aTecnun School of Engineering, University of Navarra, Manuel de Lardizábal 13, 20018 San Sebastián, Spain. E-mail: jparedes@unav.es
bBiomedical Engineering Center, University of Navarra, Campus Universitario, 31080, Pamplona, Spain
cGroup of Neuroscience, Department of Pediatrics, Faculty of Medicine and Nursing, Donostia Hospital, UPV/EHU, 20014 San Sebastian, Spain. E-mail: ainara.vallejo@ehu.eus
dGroup of Neuromuscular Diseases, IIS Biogipuzkoa, 20014 San Sebastian, Spain
eCIBERNED, Ministry of Science and Innovation, Instituto de Salud Carlos III, 28031 Madrid, Spain
First published on 4th September 2024
In vitro myotube cultures are widely used as models for studying muscle pathophysiology, but their limited maturation and heterogeneity pose significant challenges for functional analyses. While they remain the gold standard for studying muscle function in vitro, myotube cultures do not fully recapitulate the complexity and native features of muscle fibers, which may compromise their ability to predict in vivo outcomes. To promote maturation and decrease heterogeneity, we have incorporated engineered structures into myotube cultures, based on a PDMS thin layer with micrometer-sized grooves (μGrooves) placed over a glass substrate. Different sizes and shapes of μGrooves were tested for their ability to promote alignment and fusion of myoblasts and enhance their differentiation into myotubes. A 24 hour electrical field stimulation protocol (4 V, 6 ms, 0.1 Hz) was used to further promote myotube maturation, after which several myotube features were assessed, including myotube alignment, width, fusion index, contractile function, and calcium handling. Our results indicate superior calcium and contractile performance in μGrooved myotubes, particularly with the 100 μm-width 700 μm-long geometry (7
:
1). This platform generated homogeneous and isolated myotubes that reproduced native muscle features, such as excitation–contraction coupling and force-frequency responses. Overall, our 2D muscle platform enables robust high-content assays of calcium dynamics and contractile readouts with increased sensitivity and reproducibility compared to traditional myotube cultures, making it particularly suitable for screening therapeutic candidates for different muscle pathologies.
The evaluation of these in vitro models typically relies on molecular and cellular analyses, such as the evaluation of fusion index, striation pattern, acetylcholine receptor aggregation, and myogenic marker expression.10–13 Myotube cultures have provided valuable insights into key molecular processes, such as glucose uptake14 and calcium handling,15 and have been extensively used for muscle disease modeling.3,16,17 However, standard 2D myotube cultures exhibit lower maturation levels compared to native muscle.1,18 In addition, these cultures are heterogeneous in terms of morphology and maturation, leading to the high variability and low reproducibility observed in these models.19
To address these challenges, different in vitro platforms have been proposed to promote myoblast organization, fusion, and differentiation into aligned myotubes. These platforms usually incorporate geometrical cues such as micropatterning of proteins,10,20–22 electrospun fibers,23,24 modified surfaces,25–32 or substrates with tissue-like stiffness,14,18,33,34 which aim to decrease morphological variability and improve maturation and cell alignment. In addition, chronic stimulation has demonstrated a potentiating effect on maturation and contractile capacity.35–37 Despite all the efforts made so far, important challenges remain unresolved with respect to 2D muscle platforms. Among them, the high heterogeneity of myotube cultures is one of the main factors affecting data dispersion, reliability and reproducibility. Overcoming this challenge is necessary to advance in the development of new treatments for muscle diseases.
Calcium plays a fundamental role in muscle fiber function and is essential for muscle contraction. The excitation–contraction (E–C) coupling mechanism underlies muscle contraction and involves the activation of voltage-gated calcium channels (DHPR) upon depolarization of the muscle membrane. This triggers the release of calcium from the sarcoplasmic reticulum via RyR channels, leading to the generation of force through the interaction of contractile proteins.4 Measuring calcium dynamics in myotubes can provide valuable functional insight into pathogenic mechanisms of muscle diseases. Therefore, calcium handling is used as a main functional readout in 2D muscle models,8,25 typically reporting basal calcium levels and calcium transients induced by chemical or physical stimulation. Contractility is another relevant functional readout, which can be evaluated, for instance, by image motion analysis of myotubes during electrical stimulation38 or by evaluating substrate deformation.3,7,39 Both outcomes provide highly relevant physiological information about the functional performance of muscle in vitro systems that is complementary to gene and protein expression analyses. However, to the best of our knowledge, no studies have compared calcium handling and contractile performance of myotube cultures, so far.19 Moreover, there is very limited information regarding contractile readouts in current myotube models, which is likely due to low myotube maturation, and their tendency for detachment, especially under tetanic conditions.19
In this study, we aimed to develop a 2D human muscle system with reduced data variability and high-throughput potential for the assessment of functional outcomes. To this end, we designed a platform comprising isolated, aligned, homogeneous, and contractile human myotubes. Our platform consists of an 80 μm-thick PDMS layer with micrometer-sized grooves (μGrooves) placed onto a glass substrate. Confinement of myoblasts within the μGrooves homogenizes myoblast alignment, fusion, and differentiation. We tested different μGroove geometries for their ability to generate low scattered data sets. Our study provides a step-by-step description for the generation of a 2D in vitro human muscle platform enabling the assessment of relevant functional outcomes such as calcium dynamics and contractility. This platform has been extensively characterized and optimized and would be useful for high-throughput drug screening and disease modeling.
:
1 ratio PDMS block was prepared to enable the membrane generation (poly(dimethylsiloxane) Sylgard 184 silicone, Dow Corning, 0002-04-000002). Both master and PDMS blocks were silanized overnight with trichloro(1H,1H,2H,2H-perfluorooctyl)silane (448931-10G, Sigma). Step 3: then, PDMS (10
:
1 ratio) was poured onto the silanized PDMS and immediately put in contact with the SU-8 master. 600 g weights were used to ensure complete and homogeneous contact between the master and the PDMS block, and left overnight at 60 °C until polymerization was completed. Step 4: masters were then removed and the PDMS membrane together with glass coverslips were treated with oxygen plasma. Step 5: both treated surfaces were put together facilitating the transfer of the PDMS membrane onto the glass coverslips and removing the PDMS block. The coverslips with the PDMS membrane were kept overnight at 60 °C to enhance the bonding. Step 6: last, the PDMS block was carefully separated leaving the final culturing platform as illustrated in Fig. 1B. μGrooves substrates were stored at room temperature (RT) in sealed 24 well-plates.
Four different elliptical geometries of μGrooves with different length-to-width ratios were fabricated, namely: 5
:
1 (500 μm/100 μm), 5
:
2 (500 μm/200 μm), 7
:
1 (700 μm/100 μm), and 7
:
2 (700 μm/200 μm). Characterization of SU8 masters (height and dimensions) were performed with a profilometer (KLA-Tencor, P6 Model, and Smart WLI, gbs) using the Profiler 7.31 software. μGrooved PDMS replicas were characterized by image analysis: the acquisition was performed with a Leica microscope (Leica Microsystems, DMIL LED with a DFC345 FX camera), and the analysis with ImageJ software (NIH) (Fig. S1†). Scanning electron microscopy images of PDMS μGrooves were also taken to complete the dimensional characterization (SEM, at 5 kV, Fig. 1C). The number of μGrooves/well was calculated in AutoCAD. The expected cells were calculated by dividing μGroove area by the area of a myoblast.
Before cell seeding, μGrooves were sterilized with 70% ethanol and UV-light. Subsequently, μGroove passivation was performed by incubation for 48 hours with growth media at 37 °C, allowing conditioning of the PDMS to ensure its stability during the assays.
000 myoblasts/well onto 24-well plates carrying μGrooved coverslips, previously coated for one hour at RT with either 25 μg ml−1 fibronectin (F1141, Sigma) or 0.5% gelatin (G1890, Sigma). Myoblasts were grown in skeletal muscle cell growth medium (SGM, Pelobiotech), supplemented with 10% fetal bovine serum (Gibco-Invitrogen). This high-density cell culture (200
000 cells per cm2) allowed for a homogeneous cell distribution within the μGrooves and also contributed to faster myotube formation due to fast and synchronous monolayer formation in the first 24 hours after seeding. High-density cell cultures benefit myotube formation, as increased cell-to-cell contacts enhance cell alignment, fusion and subsequent formation of mature myotubes.42
Upon confluence, the growth medium was replaced with basic differentiation medium (bDM) to induce myotube differentiation. After 2 days in differentiation (dpd), when the first multinucleated myotubes appeared, the medium was replaced with complete differentiation media (cDM) carrying different growth factors. The components of the skeletal muscle media, (reference and catalog number) are described in Fig. S2.† At 3 dpd coverslips were placed into 6 well-plates and exposed to chronic electrical stimulation (4 V, 6 ms pulse width, and 0.2 Hz) for 24 hours using the C-PACE EP System (IonOptix Westwood, MA 02090 USA). Protocol scheme is shown in Fig. 2A.
:
25, IC4470F, R&D), anti-ryanodine receptor 1 (1
:
50, #ARR-001, Alomone Labs), and CaV1.1 monoclonal 1A (1
:
50, MA3-920, Thermo Fisher Scientific) primary antibodies in blocking buffer were incubated overnight at 4 °C. After three PBS washes of 5 minutes, the samples were incubated with Alexa Fluor 647 or 555-conjugated secondary antibodies (1
:
400; A-31571, A-21428 or A-21235, Invitrogen) for one hour at RT. Subsequently, nuclei were stained with DAPI (0.1 μg mL−1, #D9542, Sigma-Aldrich) for 10 minutes at RT, and coverslips were washed and mounted onto microscope slides using ProLong™ Diamond Antifade Mountant (#P36930, Thermo Fisher Scientific). Image acquisition was performed with a LSM 980 confocal microscope with Airyscan2 with a 10× and 25× objectives (Carl Zeiss, Germany).
000 cells per cm2; data not shown). However, 24 hours after seeding, cultures were heterogeneous within the same condition. High cell-density cultures, on the other hand, promoted cellular alignment and differentiation. We found that μGrooved structures facilitated cellular alignment both at early stages of differentiation (within the first 24 hours, Fig. 2B and S3A†) and at later stages, when myotubes with striation pattern were observed at 4 dpd in all conditions, (Fig. 3A). The presence of well-organized cross-striations indicate the assembly of MYH into sarcomeres and the formation of mature myotubes.44–46Fig. 2B shows representative contrast-phase images of cultures at 0 dpd and 4 dpd, for four different geometries and non-μGrooved controls (NGC), while Fig. S3A† depicts a representative day-by-day sequence of these cultures. We found that μGrooved cells aligned along the longitudinal axes of the geometries, while cells grown on non-grooved substrates did not exhibit preferential alignment, as evidenced by the higher dispersion observed in the polar histograms representing the relative orientation of cells in each culture condition at 0 dpd and 4 dpd (Fig. 2D). The majority of myoblasts and myotubes in the μGrooves aligned with a value of less than 10°, which conforms to the established criterion for cellular alignment.20,32 Specifically, the alignment for myoblasts at 0 dpd was 1.7 ± 1.5°, 3.6 ± 4.2°, 1.6 ± 1.2°, and 3.8 ± 2.6° for 5
:
1, 5
:
2, 7
:
1, and 7
:
2 geometries, respectively. As for myotubes at 4 dpd, the alignment values were 6.5 ± 4.5°, 10.8 ± 9.1°, 2.5 ± 1.6°, and 2.5 ± 1.8° for 5
:
1, 5
:
2, 7
:
1, and 7
:
2 geometries, respectively. The alignment angle for NGC could not be calculated due to the lack of a reference axis. However, the data represented in the polar histograms clearly show a higher dispersion of alignment compared to the μGrooved myotubes. Our findings are similar to a previous study with human primary myotubes, where higher myotube alignment was observed in myotubes differentiated on micropatterned and nanopatterned surfaces compared to standard surfaces.22,25,32 Overall, our data demonstrate that the alignment of myoblasts and myotubes is higher as the width-to-length ratio decreases, with 7
:
1 geometry showing the highest myotube alignment. These results are consistent with previous studies reporting that myotube and myoblast alignment is highly dependent on the width of the substrates21,26,29,31,32,34,47,48 and substrate geometry.10,23,25,31,32
We next proceeded to evaluate the number of nuclei, myotube width, and fusion index, which are commonly used indicators of myotube differentiation, maturation and cell death.12,41 First, we determined cell survival in the μGrooves and found no significant differences in the total number of nuclei at 4 hours post-seeding and at 4 dpd within the same μGroove geometries (Fig. 2E). This is indicative of cell survival throughout the culture lifespan in the different geometries. The highest number of nuclei was found in the 7
:
2 geometry, followed by the 5
:
2 geometry, while the 5
:
1 and 7
:
1 geometries showed similar numbers of nuclei (Fig. 2C, E and S3B†). These data are in line with the calculated μGroove areas of the geometries (Fig. S1A†).
Regarding myotube width, we found similar values in μGrooved and NGC myotubes (20.1 ± 7.7 μm and 23.5 ± 11.8 μm, respectively) (Fig. 2F and S7A†), with myotubes in the 5
:
2 geometry being slightly thinner compared to NGC myotubes (Kruskal–Wallis test, *p < 0.05). Our results are consistent with other studies in C2C12 and primary human myotubes grown on nanopatterned surfaces reporting myotube widths of around 20 μm.13,23,25 Conversely, other studies in human myotubes have reported higher myotube widths in micropatterned compared to non-patterned substrates in association with increased fusion index,22 supporting that myotube width is highly dependent on the cell type and closely related to its fusion index. Interestingly, μGrooved myotubes presented higher homogeneity as reflected by a lower coefficient of variation (CV). In particular, in 5
:
1 and 7
:
1 geometries with 100 μm-widths, the CV was reduced to 20.3% and 21%, respectively compared to 50.2% in NGCs, representing a decrease in variability of around 60% (Fig. S7B†). These results are consistent with previous studies on claiming higher myotube variability in diameter and shape on flat surfaces compared to patterned substrates.22,23,31 Indeed, primary human myotubes differentiated on micropatterned22 and nanopatterned23 substrates present a 24%† and 30%† CV, respectively compared to a 50%† CV in non-patterned myotubes.22
Regarding myoblast fusion, calculated as the percentage of nuclei within the myotube, our cultures showed an overall high fusion index ranging from 85% to 93%. These values are much higher than those reported in previous studies (<65%),25,30,34,36 likely due to the optimized differentiation media12 and the intrinsic nature of the immortalized myoblast line 8220, which we selected for its high differentiation and maturation potential.41,49 Microenvironment and cellular interactions are essential for myoblast fusion. Previous studies have shown that micropatterning may increase or decrease the myoblast fusion index, depending on the specific geometry.10,22,34 Our analysis revealed a slightly reduced fusion index in 7
:
1 μGrooves compared to NGC at 4 dpd (9%, Fig. 2G, *p < 0.05). 7
:
1 μGrooves present the lowest wide-to-length ratio compared to other geometries (0.143, **p < 0.01, ****p < 0.0001, Fig. S1A†). Thus, the mild reduction of myoblast fusion in 7
:
1 μGrooves may be explained by the specific distribution of forces in this geometry.10 All in all, this effect is minor and does not impact overall myotube differentiation and maturation, as shown by the preserved myotube width in 7
:
1 μGrooves (Fig. 2F). As for the other geometries, we did not observe any significant differences in the fusion index compared to NGC (Fig. 2G). In contrast, other studies have shown enhanced myoblast fusion index in micropatterned substrates.22,30 However, these studies were performed in human myoblasts with low fusion index. Interestingly, a recent study in human myoblasts with high fusion index reports no changes in myoblast fusion between control and microgrooved substrates, which validates our results for most geometries.25
Subsequently, we evaluated the number of myotubes generated in each geometry, since our goal was to generate single isolated myotubes per μGroove. Our analysis revealed that the width of the μGroove has a significant impact on myotube formation, as previously reported.29 Indeed, 100 μm widths resulted in the formation of single myotubes in over 50% of the μGrooves, whereas 200 μm widths generally presented more than one myotube per μGroove such as the 7
:
2 geometry with multiple myotubes in over 70% of the μGrooves (Fig. 2H). The average number of myotubes per μGroove was 1.33 ± 0.48, 1.88 ± 0.90, 1.44 ± 0.52, 2.63 ± 0.67 for 5
:
1, 5
:
2, 7
:
1 and 7
:
2 respectively. The effect of the substrate size on myotube development has been investigated in previous works, with similar results to the ones reported in this study. For instance, Shimizu et al. found that the number of myotubes generated in micropatterns increased with the micropattern width, with average myotube numbers of 1.1, 1.6, and 3.6 for widths of 50 μm, 100 μm, and 200 μm, respectively.29 Similarly, S. Zatti et al. suggested an optimal width range of 30–100 μm for micropatterned structures, as values below this range may hinder myoblast differentiation due to pattern size and reduced cell quantity.34 In a different culture setup based on thin films, Sun et al. reached similar conclusions and proposed a width of 100 μm to maximize myotube formation.48
In summary, our findings indicate that μGrooved substrates promote the development of single aligned myotubes with higher homogeneity compared to standard myotube cultures (NGC). Consistent with prior research,10 our results highlight the μGroove width as a crucial factor influencing myotube morphology. Other studies have explored the use of mechanical cues to enhance the homogeneity of myotube cultures, both in terms of morphology and function demonstrating higher homogeneity of myotube size and maturation on a micropatterned platform termed MyoScreen (Cytoo, France).22 Their findings in relation to cell alignment (<10°), fusion index (69%), and myotube width (median of 28 μm) are comparable to our results. However, the MyoScreen platform often generates myotube clusters (usually 2 or 3 are observed), similar to our results obtained with 200 μm-width geometries. Remarkably, the Myoscreen platform has a high percentage of myotube detachment after acetylcholine stimulation (40–60%), whereas myotubes in our μGroove platform myotubes were able to withstand repeated tetanic stimulations with minimal detachment (<15%). This indicates that the micropatterning technique may not be optimal for assays requiring repeated contractions or tetanic stimulations.
Next, we evaluated contractility as a main functional outcome, by using single pulses or a train of electric pulses to elicit twitch and tetanic contractions, respectively. We first analyzed the percentage of myotubes that exhibited twitch contractions in μGrooves and NGC. Fig. S5A† illustrates the effect of μGrooves on myotube contractility. Our results indicate that the percentage of responder myotubes is higher in μGrooves (74.9 ± 10.7%) compared to NGC (47.5 ± 38.9%) at maximal voltage (40 V) and it is consistent with previous studies.25,52 This reflects a higher efficiency of E–C coupling, which is associated with a higher maturation of μGrooved myotubes. Moreover, CV at 40 V was much higher in the NGC substrates (76%) compared to μGrooved substrates (33.35%), which indicates a higher homogeneity of myotubes in the μGrooves (Fig. S5A†). Similar findings were reported for electrically stimulated human primary myotubes grown on nanopatterned surfaces, where myotubes responders were calculated based on calcium transients. In this study, more than 95% of nanopatterned-myotubes responded to electrical stimulation compared to less that 45% of myotubes grown on flat surfaces.25
Next, we studied the excitability threshold of μGrooved and NGC myotubes by measuring their contractile response to voltage increments ranging from 8 to 40 V, as shown in Fig. S5A.† We observed that within this range, the proportion of myotube responders in μGrooves increased proportionally with the applied voltage, while NGC myotubes did not display such behaviour. This fact may be because 8 V is a sufficiently high value for all functional myotubes of the NGC to respond to stimulation. Therefore, it is reasonable to expect that there is no variation in this ratio. In the case of grooves, these values of electric potential are conditioned by the presence of the membrane. To verify if this effect was caused by the PDMS membrane acting as an electrical insulator, we performed electric field simulations at 8, 10, and 20 V (Fig. S5B and C†). Our results show that the μGrooved PDMS membrane indeed acted as an electrical insulator, reducing the potential that reaches the μGrooves by up to 60% for 20 V, while the electric field in the NGC remained homogeneous on the substrate surface. This indicates that only 12 V out of the 20 V pulse generated by the C-Pace actually reached the myotubes within the μGrooves. To address this limitation, some researchers have incorporated conductive particles such as carbon nanotubes or graphene into PDMS, resulting in a significant increase in electrical permittivity that is proportional to the concentration of carbon nanocomposites.53,54 This approach has been shown to achieve a dielectric constant (∈) approximately 700 times higher than that of pure PDMS, without compromising the mechanical properties of the polymer.55 This technique could be implemented in our platform to enhance the conductive properties of μGrooves, particularly in experiments requiring chronic stimulation.
For subsequent contractile experiments, we chose to use 20 V pulses as this voltage elicited a response in more than 50% of myotubes, while minimizing adverse effects such as overstimulation, electroporation, or electrochemical damage compared to using 40 V.8,9 The electrical stimulation protocol was selected based on previous studies8,9,50 and optimized for maximal myotube responses with minimal signs of fatigue or detachment after tetanic stimulation. Fig. 4A shows representative contractile traces of μGrooved myotubes in response to electrical stimulation. We observed an increase in contractility in all geometries in response to increasing frequencies (0.1, 3, 5, 10 Hz). We calculated the peak amplitude of these contractions for both twitch and tetanic stimuli (Fig. 4B) and found significant increases between tetanic and twitch contractions for 5
:
1, 5
:
2 and 7
:
1 geometries (#p < 0.05, ##p < 0.01, ###p < 0.001). We also calculated the time to peak (TTP) and half-relaxation time (RT50) for twitch contractions (Fig. 4C). However, no significant differences were observed between the different μGroove geometries and NGC for any of the values analyzed. Notably, the CV of the peak amplitude for twitch and tetanic contractions was almost 50% lower in the 5
:
2 μGroove geometry compared to its NGC, as illustrated in Fig. S7C.† Measuring tetanic contractions in 2D muscle models is usually very challenging due to the tendency of contractile myotubes to detach prematurely. In fact, in the literature, only 27% of 2D in vitro skeletal muscle studies report tetanic contractile responses.19 However, in this study, we were able to evaluate both twitch and tetanic contractions in our μGroove platform, enabling a more comprehensive analysis of the contractile function.
Finally, the tetanic-to-twitch contractile ratio was calculated as an indicator of muscle maturity and performance.19 The 7
:
1 geometry exhibited the highest tetanic-to-twitch ratio (2.82 ± 1.36), with approximately 57% of the myotubes showing a ratio over 3 (Fig. 4D). The rest of the groups presented ratios ranging from 1.5 to 2.3. The tetanic-to-twitch ratio of 7
:
1 μGrooved myotubes is notably higher compared to the ones reported in other 2D in vitro studies that use human cell lines (e.g. 2.01; 0.91),8,9 but still below the range typically observed in native tissue (between 4 and 10).56 These findings underscore the necessity for exploring alternative approaches to create muscle models that more closely resemble physiological conditions. Co-culturing in μGrooved platforms is a potential method that could enhance maturity and adhesion of myotubes, while preserving their homogeneity.
One limitation of the current study is that the electrical stimulation used for functional evaluation was applied to the entire plate, even though only one myotube was imaged at a time. This can lead to a gradual loss of contractile performance over time, particularly during tetanic contractility. To prevent any fatigue effects, we restricted the number of stimulations on each μGroove substrate to a maximum of 10. However, to exploit the full high-throughput capability of the platform, it would be desirable to integrate electrodes that enable the stimulation of individual myotubes.
:
1 μGroove geometry (69.6 ± 21.9 nM), followed by 5
:
2 (62.2 ± 17.5 nM), 7
:
2 (39.8 ± 19.9 nM), and 5
:
1 (32.9 ± 8.21 nM). Notably, μGrooved myotubes on 5
:
1 geometry showed a significantly reduced basal calcium levels compared to NGCs (*p < 0.01). Most interestingly, different variability was observed between the μGroove geometries and the NGC datasets. Overall, we found a higher CV in NGC myotubes (55.2%) than in μGrooved myotubes (34%, Fig. 5B and S7D†). In particular, the most relevant reductions in CV were observed for 5
:
1, 5
:
2 and 7
:
1 geometries, with decreases of 54.7%, 48.9% and 43.1%, respectively compared to NGCs. In contrast, similar CV for the 7
:
2 μGroove geometry dataset was observed compared to NGC. While these results are expected due to the greater morphological homogeneity observed in μGrooved myotubes, the meaning behind the differences in basal calcium observed in the 5
:
1 μGroove geometry remains uncertain. One possibility is that these differences may be attributed to variations in myotube maturation levels among the different geometries. In this line, it has been previously reported that resting cytosolic calcium presents a profile of evolution with a progressive increase up to a maximum level followed by a gradual decrease in human myotubes.57 Another possibility is that basal intracellular calcium levels may be affected by the myotube area or by the number of nuclei within each myotube. Further investigation is necessary to confirm these hypotheses.
Subsequently, we evaluated calcium transients in response to electrical stimuli, following a similar protocol as the one used for contractility assessment. As shown in Fig. 5C, both NGC and μGrooved myotubes exhibited twitch and tetanic calcium transients at 0.1 Hz and 10 Hz, respectively. Analysis of peak amplitude of calcium transients revealed that myotubes grown in 7
:
1 μGroove geometry presented the highest increase between tetanic and twitch contractions (paired Student's t-test; ###p < 0.001). Additionally, tetanic response in 7
:
1 μGrooved myotubes were significantly increased compared to NGC myotubes by 2-fold (*p < 0.05). We next calculated the tetanic-to-twitch ratio for calcium responses (Fig. 5D). As expected, the 7
:
1 μGroove geometry demonstrated the best performance with a ratio of 2.70 ± 0.43, compared to 2.07 ± 5.20 in NGC (*p < 0.05). Furthermore, this dataset presented a CV of 16%, which is the lowest among all the groups. These data are in line with the contractility results, where myotubes in 7
:
1 geometry also exhibited the best performance regarding the tetanic-to-twitch ratio, which further supports our conclusions. It should be noted that in this study all the values were included, although it could be argued that tetanic-to-twitch ratio values <1 could be considered as non-valid.
Overall, these results demonstrate that 7
:
1 μGrooves enhance myotube maturation and homogeneity compared to standard cultures in several morphological and functional parameters. However, the 7
:
1 dataset variability is still high in some parameters, such as twitch and tetanic-to-twitch ratio. The number of replicates for each condition may differ due to the chosen inclusion criteria for a minimum of 5 samples, and that myotubes should be able to complete the entire functional assessment up to at least 10 Hz. Further optimization of the platform, such as incorporating microelectrodes into the system or increasing culture lifespan with chronic stimulation and matrix overlayers,12,25 may allow for lower data variability.
Overall, the best performance was observed in myotubes confined to the 100 μm-wide μGrooves, specifically in the 7
:
1 geometry, where myotubes exhibited superior contractile and calcium responses compared to other geometries and to non-grooved controls. Indeed, myotubes in the 7
:
1 geometry showed higher tetanic-to-twitch ratio values both for contractility and calcium transients. The consistency of the calcium handling values with the contractility analysis provides further evidence for the reliability of our μGroove platform.
Additionally, the design of μGrooved substrates is compatible with chronic stimulation and enables functional evaluation of myotubes via contractility and calcium handling analysis, offering a comprehensive characterization of 2D muscle models. Moreover, our platform is very flexible and can be used in combination with other designs. For example, a neuromuscular system could be easily achieved by adding a matrigel overlay on top of the μGrooves, and motoneurons or explants could be added to this overlay. This system would allow long term coculture to study the formation of neuromuscular junction development. In addition, this platform could also be compatible with microelectrode recordings.
Our platform represents a promising approach for generating physiologically relevant in vitro muscle models that can be used to better understand muscle development and disease, and to identify new therapeutic targets for muscle weakness. The high-content, high-throughput potential and reduced heterogeneity makes this platform a powerful tool for drug screening and muscle engineering research. Future studies could explore the use of different substrate materials, cell types, electrical stimulation optimization, and other improvements to further optimize the platform and elucidate underlying mechanisms of muscle physiopathology.
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3lc00442b |
| This journal is © The Royal Society of Chemistry 2024 |