As mentioned earlier, the extracellular flux analyzer machine can provide real-time information about two major energy-producing pathways of the cells by measuring OCR (oxygen consumption rate), an indicator of mitochondrial OXPHOS activity, and ECAR (extracellular acidification rate) which is an indicator of glycolysis. Macrophages can use both pathways, depending on their microenvironment. They can also switch their energy production pathways17,18. Understanding the macrophages' energetic states and their responses to different drugs, cytokines, inhibitors, activators, etc. will provide a better understanding of the metabolic states of these cells. Since glycolysis is one of the most critical pathways that get activated in M1-like types of macrophages, real-time glycolysis related information can help track the changes of M1-like polarized BMDMs in different in vitro conditions19. The extracellular flux analysis of the ATP real-time rate assay is highly regarded as a way to assess the ATP production of the polarized BMDMs20. The protocol presented herein provides technical details and approaches with a visual demonstration of the workflow to serve as a comprehensive protocol that can be adapted to experimental needs.
This assay provides accurate measurements of glycolytic levels for basal conditions and compensatory glycolysis following mitochondrial inhibition. It is important to note that some of the acidification in extracellular media can have a mitochondrial source21. The Krebs cycle or TCA cycle produces CO2 that can acidify the media through its reaction with water molecules22. When the mitochondrial activity is inhibited, the acidification rates are indicators of lactate accumulation in the media. The advantage of the glycolytic stress test is the injection of glucose in a medium that does not have any glucose or pyruvate sources to assess glycolysis levels before and after the treatment of glucose in the media.
On the other hand, the glycolytic rate assay provides specific information about the distinct sources of glycolysis by blocking the mitochondrial activity. In other words, glycolytic proton efflux can be calculated by subtracting OXPHOS proton efflux from total proton efflux. In this protocol, we combined glycolytic assays in one assay and maximized the glycolytic data to obtain glycolysis, glycolytic capacity, glycolytic reserve, compensatory glycolysis, and non-glycolytic acidification results. These parameters will give a better understanding of the metabolic states and glycolytic phenotype of the cells. With an optimized quick and easy normalization method, it would be possible to get more accurate information about glycolytic metabolism and metabolic reprogramming21,22,23.
It is important to note that although the implication of glycolytic reserve does not change in the new combined system, the calculation scheme in the method has been altered slightly. In the combined system (Figure 4B), the glycolytic reserve is estimated by Avg. ECAR (10,11,12)-Avg. ECAR (4,5,6). However, in non-combined methods, the glycolytic reserve is calculated by Avg. ECAR (7,8,9)-Avg. ECAR (4,5,6) formula. Both calculations provide very similar results and reflect the glycolytic reserve.
Furthermore, it is worth mentioning that there are different metrics of extracellular acidifications in extracellular flux analyzers. The results of the glycolytic assays in extracellular flux analyzers can be analyzed based on ECAR (mpH/min), PPR (pmol H+/min), and PER (pmol H+/min). There are advantages and disadvantages, but generally, ECAR is the most typical way of displaying extracellular acidification data.
Our lab studies the role of microbiota metabolites on immune cells. Since macrophages are one of the key components of the immune system in chronic inflammatory diseases such as atherosclerosis23,24,25, we are interested in studying the role of microbiome metabolites on the polarization of macrophages, especially inflammatory polarized macrophages that have been induced by different proatherogenic signals such as saturated fatty acids, modified LDLs, and harmful gut microbiota-derived or dependent metabolites. We confirm the polarization of the BMDMs by M1-like and M2-like surface and intracellular markers using flow cytometry and qPCR. We consider the extracellular flux assays as functional readouts in the studies. We perform complementary studies by measuring the non-real-time glycolysis factors with a lactate assay.
LPS induced M1-like polarization or LPS + IFNγ induced M1-like polarization are the most common classic M1-like activation way in macrophages. In M1-like polarization, adding IFNγ to LPS or increasing LPS concentration will increase the reduction of spare respiratory capacity in the mitochondrial electron transport chain. IFNγ is known to induce an M1-like phenotype, but, usually, IFNγ by itself is not enough and requires additional TLRs agonists to induce the phenotype. But this is dependent on the diseases and M1-like polarization concerning a specific condition. For example, IFNγ- induced M1-like macrophages cannot produce NO and inflammatory cytokines similar to LPS or LPS/ IFNγ induced macrophages26.
Drugs that prevent macrophages from inflammatory polarization have the potential to prevent and control atherosclerosis. Understanding the metabolic pathways, energetics, and phenotypic characteristics of the M1 macrophages is essential for studying the role of different endogenous and exogenous drugs. Glycolysis is the dominant energy-producing pathway in M1-like macrophages24,27.
This simplified study focuses on only glycolytic energetic states of the polarized BMDMs. Doses used in this paper are built on the manufacturer's recommendation and make the experiment much easier to follow. Also, most of the compounds used in this study are provided in the standard kit from the manufacturer; this helps to save time and enhance the consistency of the experiments. It is essential to know that slight differences in compound doses, cell numbers, and incubation times can affect the experiment results. Also, each experimenter should run a cell titration, dose-response, and kinetic analysis for their particular cell type and conditions to understand how those conditions perform on the extracellular flux analyzer.
One should note that during the media change, washing, and normalization steps, some cells may come off by pipetting or fluid pressure. The confluency of the cells is always detectable under the microscope. Those wells need to be excluded from the study if they have any signs of scratches or depletion of cells.
We use 96 well microplates with a minimal number of cells per well, allowing positive and negative controls, as well as different conditions to be tested in one plate; thus, this assay is very time-saving and cost-efficient for extracellular flux analysis. This study has been optimized for BMDM, which are different from tissue-resident macrophages, peritoneal macrophages, and macrophage cell lines.
While in this protocol we primarily focused on the application of extracellular flux analysis in the pro-inflammatory state associated glycolysis, extracellular flux analysis can also be used to assess mitochondrial function characteristics such as total respiration, basal mitochondrial respiration, ATP production, proton leak, maximal respiration, and spare respiratory capacity. Mitochondria play an important role in macrophage metabolic reprogramming. Extracellular flux analyzers have been used to assess mitochondrial stress and fatty acid oxidation by measuring the oxygen consumption rate of the cells16.
In conclusion, here, we have provided a comprehensive protocol for isolation, culture, polarization, and glycolytic functional analysis of BMDMs. Detailed step-by-step procedures and visual demonstrations were provided for all steps. We hope this protocol will help the investigators to streamline their analyses and to assess the glycolytic function of BMDMs with high quality and efficiency.