In this article, we describe a detailed protocol for quantifying the oxygen consumption rate and extracellular acidification rate of ex vivo adult zebrafish ventricles to characterize their oxidative and glycolytic metabolic capacity.
Method Article
In this article, we describe a detailed protocol for quantifying the oxygen consumption rate and extracellular acidification rate of ex vivo adult zebrafish ventricles to characterize their oxidative and glycolytic metabolic capacity.
The ability of zebrafish to regenerate their hearts throughout adulthood is partially attributed to metabolic adaptations. Although it has been hypothesized that the fish heart relies significantly on glycolysis, recent studies have uncovered a more complex metabolic profile in which oxidative metabolism arises as an essential component of cardiomyocyte redifferentiation and successful late-stage heart regeneration. In 2025, we adapted a high-throughput method to assess the metabolic profile of whole zebrafish ventricles ex vivo, utilizing the Seahorse assay (extracellular flux assay). This method allows for rapid, real-time assessment of basal and maximal oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) using the XF Mito Stress test on the Seahorse XFe24 analyzer. In this article, we describe a detailed protocol for performing extracellular flux analysis on whole zebrafish ventricles. The ability to quantify the OCR and ECAR in live whole hearts ex vivo will provide the opportunity to elucidate cardiac metabolism at critical timepoints during development, disease progression, and regeneration.
In contrast to humans, zebrafish (Danio rerio) maintain the capacity to regenerate lost cardiac tissue throughout their adult life1. Upon cardiac injury, the cardiomyocytes in the wound border zone de-differentiate and re-enter the cell cycle2,3 in order to restore cardiomyocyte numbers4 and repopulate the wound. Recently, the importance of cardiomyocyte redifferentiation in the regenerative process has been recognised5. Both those processes are tightly regulated by metabolic changes in the zebrafish heart, with glycolysis driving proliferation6,7 and oxidative phosphorylation (OXPHOS) promoting redifferentiation8. Although pharmacological and genetic methods to manipulate metabolism are widespread in the field of regeneration6,7, validation of the metabolic effects of those perturbations remains challenging due to the small size of the zebrafish heart, which requires a complex, customized setup for canulation9,10,11 or pooling of multiple hearts for mass spectrometry12 or NMR spectroscopy8,13.
In order to circumvent these limitations, we recently described the use of the Seahorse XFe24 Analyzer for high-throughput metabolic profiling of whole zebrafish ventricles ex vivo8. The extracellular flux assay is designed to measure the oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) of cells, pancreatic islets, and spheroids. This is achieved through solid-state sensors that detect changes in oxygen and proton concentration (pH) in the media that result from the respiratory electron transport chain utilization of oxygen and glycolysis-dependent lactate production, respectively (Figure 1A)14.
The extracellular flux analysis can be performed on a 96-well plate setup (XFe96 and XF Pro), 8-well miniplates, or various iterations of 24-well plates (XFe24). Although the 96-well plates provide higher throughput, the working distance between the sensor and the bottom of the well is not suitable to accommodate a whole zebrafish ventricle. Additionally, on the 96-well plate format, there is no provision for securing the ventricle at the bottom of the well to prevent it from floating in the media and interfering with the sensors. On the other hand, the XFe24 islet capture microplate was originally designed for the metabolic characterization of primary pancreatic islets and, as a result, allows for the deposition of the tissue at the bottom of the well, which is then secured by a screen (grid). Due to the small size of the zebrafish heart, we were able to adapt the islet capture microplate to be used on zebrafish ventricles, which remain secured under the grid for the duration of the assay.
To evaluate mitochondrial respiratory capacity, we utilized the Mito Stress test in which four inhibitors of the electron transport chain and the adenosine triphosphate (ATP) synthase were used (Figure 1A). Firstly, baseline measurements of the OCR are acquired (Figure 1B, magenta). Then, oligomycin, a complex V inhibitor, is injected. Oligomycin inhibits the ATP synthase activity and thus leads to a reduction in OCR, which is attributable to ATP production (Figure 1B, green). The remaining oxygen consumption is a result of uncoupled respiration and non-mitochondrial oxygen consumption (Figure 1B, orange and grey, respectively)15. Following oligomycin, FCCP is injected, which dissipates the proton gradient across the mitochondrial membrane (Figure 1A). In an attempt to restore the proton gradient, the mitochondria upregulate their oxygen consumption to their maximal capacity (Figure 1B, blue). Finally, a mix of rotenone and antimycin A is used that inhibits complexes I and III, respectively (Figure 1A). This drug combination leads to the complete shutdown of the mitochondrial respiratory electron transport chain activity due to the lack of electron flow from complexes I and III to complex IV15. This allows for the measurement of non-mitochondrial oxygen consumption (Figure 1B, grey).
Overall, using the islet capture microplate with the Mito Stress test, we were able to rapidly and reproducibly evaluate the oxidative and glycolytic metabolic capacity of whole zebrafish ventricles ex vivo. We describe the detailed protocol for this procedure below. Finally, we show the survival of uninjured, wild-type isolated ventricles ex vivo in the extracellular flux analyzer, and we validate the Mito Stress test on 14 days post-cryoinjury (dpci) transgenic zebrafish ventricles8.
All procedures described below involving animals were carried out in compliance with the revised Animals (Scientific Procedures) Act 1986 in the United Kingdom and Directive 2010/63/EU in Europe and were approved by Oxford University's central Committee on Animal Care and Ethical Review.
NOTE: This protocol was performed using a Seahorse XFe24 analyzer and the Seahorse DMEM medium without phenol red and bicarbonate.
1. Zebrafish heart cryoinjury (optional)
2. Hydrating the sensor cartridge
3. Preparing the drug solutions and media
4. Turning on the extracellular flux analyzer
5. Analyzer calibration
6. Isolating the fish hearts and loading them on the 24-well Islet plate
7. Loading the samples on the analyzer and acquiring measurements
8. Protein isolation and quantification for normalization
9. Data analysis
This protocol enables quantification of the OCR and ECAR of whole zebrafish ventricles. We validated the survivability of the ventricles in an ex vivo setting by incubating uninjured wild-type KCL ventricles in the analyzer in the absence of any drug treatment (Figure 3A). The data indicates that the ventricles have a stable OCR and ECAR, which are significantly elevated from the baseline measurements of the empty wells for at least 180 min (Figure 3A). This data suggests that the ventricles show normal respiratory function and survival in this ex vivo setting.
We performed several OCR measurements using various drug concentrations and media formulations to identify the optimal dosage for the ventricles (Figure 3B). We observed a mild increase in OCR fold change (FCCP/basal) when utilizing the combinations [oligomycin] 10 µM, [FCCP] 8 µM, and [rotenone/antimycin] 25 µM, and a slightly larger increase in [oligomycin] 50 µM, [FCCP] 30 µM, and [rotenone/antimycin] 45 µM (Figure 3B). As a result, we proceeded with the latter concentrations for our experiments. As the ventricle is a 3D structure, it is possible that the drugs strongly act on the external cells of the tissue while not reaching the cells in the luminal side of the ventricle. To address this, we performed a permeabilization step where we treated the hearts with saponin 0.5% for 30 min before incubation in DMEM (10 mM galactose, 1 mM pyruvate, 4 mM glutamine). This resulted in a sustained reduction in OCR and absence of the expected increase in OCR after FCCP injection (Figure 3C), suggesting that the hearts were metabolically failing. Consequently, we did not permeabilize the ventricles for our experiments.
Furthermore, we present here the normalized traces from our original experiment8. Harnessing the natural variation in regenerative potential of seven wild-type zebrafish strains, we identified mdh1ab, the cytosolic malate dehydrogenase 1Ab, to have a beneficial effect on regeneration through cardiomyocyte redifferentiation. To validate this finding, we produced transgenic zebrafish overexpressing mdh1ab in a cardiomyocyte-specific manner (mdh1ab cOE) and control fish overexpressing green fluorescent protein (GFP cOE). We cryoinjured their ventricles, collected them at 14 dpci, and investigated their metabolism using the Mito Stress test (Figure 3D). The oligomycin treatment did not significantly alter the OCR, although a mild increase in ECAR was observed. Injection of FCCP in the media resulted in the expected increase in OCR and ECAR with the mdh1ab cOE samples maintaining the highest maximal respiratory capacity (Figure 3D). Finally, rotenone/antimycin led to the complete shutdown of metabolism in both groups. Overall, this method allowed us to identify significant differences in the metabolic capacity of the mdh1ab-overexpressing ventricles and between seven different wild-type zebrafish strains8.

Figure 1: Glucose metabolism during a Mito Stress test. (A) Schematic representation of glucose metabolism. Glucose enters the cell through the GLUT transporters and gets converted to pyruvate through glycolysis. Lactate dehydrogenase (LDH) converts pyruvate to lactate, and the resulting protons are secreted from the cell. Pyruvate gets converted to acetyl-CoA and enters the mitochondria and TCA cycle to fuel the respiratory electron transport chain in the inner mitochondrial membrane. The inhibitors of complexes I, III, and V, as well as the uncoupler FCCP, are noted in red. Electrons being transferred through the respiratory electron transport chain are denoted by blue arrows, which eventually lead to the conversion of oxygen and protons to water. (B) Mito Stress test results schematic. Basal respiration is noted in magenta. Upon oligomycin injection, the OCR drops, allowing for the calculation of the ATP-linked respiration (green) as well as the proton leak (orange). FCCP increases the OCR to the maximal respiratory capacity of the cells (blue). Rotenone and antimycin A injection lead to the shutdown of the mitochondrial respiration and only allow non-mitochondrial respiration to take place (grey). Please click here to view a larger version of this figure.

Figure 2: Sensor cartridge and islet capture microplate layout. (A) Image of the lid-sensor cartridge-hydro booster-utility plate complex (top) and the inverted sensor cartridge (bottom). Scalebar: 1cm. (B) Image of an islet capture microplate loaded with zebrafish ventricles. The red circles denote the blank wells that do not contain ventricles and will serve as background correction during the analysis. Scalebar: 1cm. (C) Schematic representation of the port layout in the XFe24 sensor cartridge. Port A contains oligomycin, B contains FCCP, and C contains the rotenone/antimycin mix. Port D can be left empty, or an extra drug can be added. S denotes the sensor port, which should not contain any liquid in order not to damage the analyzer. (D) Representative image of a zebrafish ventricle at the bottom of the well, enclosed by the grid (left) and without a grid (right). Scalebar: 5mm. (E) Schematic cross-section of the islet capture microplate containing a ventricle, the grid (yellow), and the sensor cartridge (green). P denotes the ports and S the sensor. The wavy line represents the medium. (F) The islet capture screen insert tool. Scalebar: 1 cm. (G) Normalization tab icon on the analytics interface. Please click here to view a larger version of this figure.

Figure 3: Representative OCR and ECAR measurements of zebrafish ventricles. (A) Representative OCR and ECAR traces of uninjured wild-type zebrafish ventricles (KCL strain) that have not been treated with the inhibitors used in the assay (n = 2, red line). The traces resulting from empty wells that do not contain any biological material are presented in grey (n = 4); OCR, two-way repeated measures ANOVA, time factor P = 0.0200, time × well interaction P = 0.0196, well factor P < 0.0001, group factor P < 0.0001; ECAR two-way repeated measures ANOVA, time factor P = 0.1323, time × well interaction P = 0.0216, well factor P = 0.0009, group factor P<0.0001; data presented as mean ± SEM. (B) OCR fold change upon various drug concentrations and media used. One-way ANOVA (P = 0.0032) with Tukey's multiple comparisons test. [O] 5 µM, [F] 4 µM, [RA] 2 µM, n = 6; [O] 10 µM, [F] 8 µM, [RA] 25 µM, n = 8; [O] 25 µM, [F] 16 µM, [RA] 45 µM, n = 8; [O] 50 µM, [F] 30 µM, [RA] 45 µM, n = 8; [O] 100 µM, [F] 60 µM, [RA] 90 µM, n = 8. O, oligomycin; F, FCCP; RA, rotenone/antimycin. (C) Trace of saponin-permeabilized ventricles (red, n = 4) compared to untreated ventricles (grey, n = 4); two-way repeated measures ANOVA, time factor P < 0.0001, time × sample interaction P < 0.0001, treatment factor P < 0.0001, sample factor P = 0.824; data presented as mean ± SEM. OCRmax of saponin-treated ventricles compared to untreated ventricles; unpaired student's t-test (P = 0.0850). (D) Representative OCR and ECAR traces from mdh1ab cOE (red, n = 8) and GFP cOE (grey, n = 8) 14dpci ventricles. OCR, two-way repeated measures ANOVA, time factor P < 0.0001, time × sample interaction P < 0.0001, genotype factor P < 0.0001, sample factor P = 0.1098; ECAR, two-way repeated measures ANOVA time factor P < 0.0001, time × sample interaction P = 0.7507, sample factor P = 0.2154, genotype factor P < 0.0001. Data adapted from Lekkos et al., 20258 and presented as mean ± SEM. Please click here to view a larger version of this figure.
Here, we describe in detail the protocol for analyzing the OCR and ECAR of ex vivo zebrafish ventricles using the Seahorse XFe24 analyzer and the Mito Stress test. Cardiomyocyte metabolism plays an essential role in heart regeneration21,22,23,24. However, validation of the metabolic phenotype of the regenerating zebrafish heart has been challenging and is often lacking from publications6,7. Due to the small size of the zebrafish heart, techniques such as NMR spectroscopy or mass spectrometry require the pooling of several ventricles in order to acquire adequate signal8,12,13. In contrast, the method we describe here allows for the acquisition of OCR and ECAR measurements from multiple individual ventricles, thus increasing the statistical power.
Classical metabolic profiling methods, such as metabolomics, provide a snapshot of the metabolic profile of the tissue at the moment it was collected. Through the Mito Stress test we were able to collect real-time, live data on how the ventricles are adapting to various metabolic challenges, including their maximal respiratory capacity, which is not evident when using other methodologies. In order to achieve live phenotyping of zebrafish ventricles, perfusion of the zebrafish heart has been attempted9,10,11. This requires complex customized equipment and highly skilled technicians to achieve canulation while remaining a low-throughput method. The analyzer provides a simpler alternative using a commercially available piece of equipment for high-throughput (20 ventricles at a time) phenotyping of ventricles. To our knowledge, there has been no direct comparison of the method described in this paper with other techniques of live oximetry, such as a Clark-type electrode.
Importantly, the method we describe is adaptable depending on the research question. The assay has been used previously to characterize whole zebrafish embryos25,26. Additionally to the Mito Stress test described here, the Mito Fuel Flex test has been optimized to evaluate the metabolic fuel utilization of human cardiac slices27. Furthermore, the Cell Energy Phenotype test has been adapted for characterizing the glycolytic capacity of regenerating Astyanax mexicanus hearts28. We anticipate that this protocol will be utilized for other 3D structures such as cardiac organoids, and will be useful for validating genetic perturbation of metabolic pathways in uninjured zebrafish hearts.
We recognize that this technique has certain limitations. In terms of technical challenges, upon isolation, the hearts were handled in DMEM medium that was at room temperature and not maintained at 28 °C, which is the optimal temperature for zebrafish19. Decreasing the temperature of the water to 18 °C can have significant effects on the function of the zebrafish heart in situ29,30. However, we do not expect short-term exposure to room temperature to have a significant effect on the physiology of the isolated ventricles, as the ventricles rapidly return to the 28 °C analyzer. In our hands, the majority of the ventricles stopped beating visibly upon dissection of the atrium, pointing to the lack of pacemaker stimulus as an etiology of the non-contraction. Moreover, during the isolation period, the medium was not oxygenated, potentially leading to mild hypoxia, which recovers to normal oxygen levels following mixing in the analyzer before the first measurement.
An additional practical consideration regarding the temperature of the hearts also relates to the heater being turned off in the analyzer, and thus leading to a reduction in temperature from 37 °C to 28–29 °C. The analyzer does not allow for the reduction in heater power to the desired temperature. Nevertheless, when the analyzer is operating, the temperature inside the tray is 6–7 °C higher than the room temperature. This temperature range coincides with the optimal zebrafish husbandry temperature19.
This assay is performed on bulk zebrafish ventricles. Consequently, it is impossible to distinguish the contributions of individual cell types to the changes observed in the OCR and ECAR. This might prove to be of significant importance when investigating the metabolic rates of early regenerative time points when the high influx of immune cells31 might mask the OCR changes of cardiomyocytes. Additionally, residual blood remaining in the ventricular lumen could influence the metabolic readouts. Allowing the hearts to bleed in the presence of heparin7 might further reduce the influence of blood cells clotting in the heart. Moreover, in order to enhance the diffusion of the inhibitors used towards the inner cells of the ventricle, we attempted a permeabilization step using saponin. Saponin permeabilization led to a sustained drop in OCR throughout the assay, leading the ventricles to respiratory failure. These limitations could be avoided by the isolation, culture and analysis of isolated cardiomyocytes, although this approach requires the prolonged culture of cells32 which might not be optimal for a regenerative setting.
The injured tissue might influence the normalization method used. In this study, we normalize the OCR by µg protein/mL using the BCA assay. Although the BCA assay does not react strongly with collagen proteins due to their hydroxyproline- and proline-rich composition, which are poorly detected using coper, the presence of other cell-devoid wound components might influence the normalization. Future studies could consider the use of total DNA33 as an accurate reflection of live cells in the ventricle.
Furthermore, we were unable to reproduce the anticipated reduction in OCR caused by oligomycin-dependent inhibition of complex V15. Although certain studies show a reduction in OCR by oligomycin treatment of isolated cardiomyocytes32,34,35, the data here resemble the lack of response reported in a recent study on isolated adult mouse cardiomyocytes36. Since the oligomycin concentration we use is significantly higher than the one reported in the aforementioned studies, it is unclear whether increasing the final concentration to more than 50 μM would have an effect.
Finally, although oxygen consumption primarily depends on respiration, the extracellular acidification is not exclusively driven by the lactate produced by glycolysis, but also through the conversion of carbon dioxide to carbonic acid. It has been reported that in glucose-fed myoblasts, a third of the extracellular acidification results from carbon dioxide in baseline conditions37. Consequently, we advise caution on the interpretation of the ECAR measurements resulting from the Seahorse analyzer if no correction for the proportion of the respiration-driven acidification has been performed38.
The authors declare no conflict of interest.
We are grateful to Nick Howe (Agilent Technologies) and Thomas Nicol (University of Oxford) for their support and critical discussion during the development of this method. We would like to acknowledge the staff at our animal facility at Level 1 (University of Oxford, Biomedical Services Unit) and at the Institute of Developmental and Regenerative Medicine (University of Oxford) for maintaining and transferring the zebrafish. This work has been supported by the Medical Research Council (MR/W006731/1 to KL), King Faisal Specialist Hospital & Research Centre (Post-doctoral fellowship to RA), Wellcome Institutional Strategic Support Fund (204826/Z/16/Z to JSOM), British Heart Foundation IBSRF (FS//17/58/33072 to LCH), European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (715895, CAVEHEART, ERC-2016-STG to MTMM), British Heart Foundation project grants (PG/15/111/31939 and PG/23/11189 to MTMM), MTMM acknowledges support from the BHF Oxford Centre of Research Excellence, University of Oxford (RE/24/130024) and the BHF Centre of Regenerative Medicine (RM/13/3/30159).
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| 1.5ml Eppendorf tubes | Starlab | S1615-5550 | |
| 96-well plate | ThermoFisher | AB-0800 | |
| Antimycin A | ChemCruz | sc-202467A | |
| DMEM medium | Agilent | 1035755-100 | |
| DMSO | Sigma-Aldrich | D2650-100mL | |
| Dry ice | |||
| Ethanol | Supelco | 1.00983.2500 | |
| Extracellular Flux Assay Kit | Agilent | 103518-100 | pack contains utility plate, hydro booster, sensor cartridge, lid (comes with the islet plates) |
| FCCP | Sigma-Aldrich | C2920 | |
| Glucose | Agilent | 103577-100 | |
| Glutamine | Agilent | 103579-100 | |
| Incubator | |||
| Islet capture microplate | Agilent | 101122-100 | 25 grids included in the pack |
| Islet capture screen inster tool | Agilent | 101135-100 | |
| microdissection forceps | ideal-tek | 3131760 | 5-S size (2x will be needed to isolate the ventricle from the bulbus arteriosus and atrium) |
| microdissection scissors | FST | 15009-08 | |
| MS-222 | Sigma-Aldrich | E10521 | |
| Oligomycin | MP | 151786 | |
| Pestle mottor homogeniser | VWR | 431-0100 | |
| Pestles | VWR | 431-0094 | |
| petri dish 35mm | Greiner Bio-One | 627102 | |
| petri dish 92mm | Starstedt | 82.1473 | |
| Pierce BCA Assay Kit | Thermo Scientific | 23227 | |
| Pierce Protease and Phosphatase Inhibitor Mini Tablets,EDTA-free | Thermo Scientific | A32961 | |
| Pyruvate | Agilent | 103578-100 | |
| RIPA lysis buffer | santa-crus | sc-364162 | |
| Rotenone | MP | 02150154-CF | |
| Seahorse Analytics Agilent interphase | Agilent | https://www.agilent.com/en/product/cell-analysis/real-time-cell-metabolic-analysis/xf-software/agilent-seahorse-analytics-787485 | |
| Seahorse XFe24 Analyzer | Agilent | https://www.agilent.com/en/product/cell-analysis/real-time-cell-metabolic-analysis/xf-analyzers/seahorse-xfe24-analyzer-740878 | |
| Sealer | Thermo Scientific | AB-0558 | |
| SPECTROstar Nano | MG LABTECH GmbH | 601-0298 | |
| Sponge | make an incision long and deep enough to fit the fish ventral side upwards | ||
| Wave (version 2.6.1.56) | Agilent | https://www.agilent.com/en/products/cell-analysis/software-download-for-wave-desktop | |
| XF calibrant | Agilent | 100840-000 |
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