An official website of the United States government
Abstract PurposeIn vitroassays are essential for studying cellular biology, but traditional monolayer cultures fail to replicate the complex three-dimensional (3D) interactions of cells in living organisms. 3D culture systems offer a more accurate reflection of the cellular microenvironment. However, 3D cultures require robust and unique methods of characterization. MethodsThe goal of this study was to create a 3D spheroid model using cancer cells and macrophages, and to demonstrate a custom image analysis program to assess structural and metabolic changes across spheroid microregions. ResultsStructural characterization shows that cells at the necrotic core show high normalized fluorescence intensities of CD206 (M2 macrophages), cellular apoptosis (cleaved caspase-3, CC3), and hypoxia (HIF-1α and HIF-2α) compared to the proliferative edge, which shows high normalized fluorescence intensities of CD80 (M1 macrophages) and cellular proliferation (Ki67). Metabolic characterization was performed using multiphoton microscopy and fluorescence lifetime imaging (FLIM). Results show that the mean NADH lifetime at the necrotic core (1.011 ± 0.086 ns) was lower than that at the proliferative edge (1.105 ± 0.077 ns). The opposite trend is shown in the A1/A2 ratio (necrotic core: 4.864 ± 0.753; proliferative edge: 4.250 ± 0.432). ConclusionOverall, the results of this study show that 3D multicellular spheroid models can provide a reliable solution for studying tumor biology, allowing for the evaluation of discrete changes across all spheroid microregions.
more »
« less
Autofluorescence imaging of endogenous metabolic cofactors in response to cytokine stimulation of classically activated macrophages
Abstract BackgroundMacrophages are one of the most prevalent subsets of immune cells within the tumor microenvironment and perform a range of functions depending on the cytokines and chemokines released by surrounding cells and tissues. Recent research has revealed that macrophages can exhibit a spectrum of phenotypes, making them highly plastic due to their ability to alter their physiology in response to environmental cues. Recent advances in examining heterogeneous macrophage populations include optical metabolic imaging, such as fluorescence lifetime imaging (FLIM), and multiphoton microscopy. However, the method of detection for these systems is reliant upon the coenzymes NAD(P)H and FAD, which can be affected by factors other than cytoplasmic metabolic changes. In this study, we seek to validate these optical measures of metabolism by comparing optical results to more standard methods of evaluating cellular metabolism, such as extracellular flux assays and the presence of metabolic intermediates. MethodsHere, we used autofluorescence imaging of endogenous metabolic co-factors via multiphoton microscopy and FLIM in conjunction with oxygen consumption rate and extracellular acidification rate through Seahorse extracellular flux assays to detect changes in cellular metabolism in quiescent and classically activated macrophages in response to cytokine stimulation. ResultsBased on our Seahorse XFP flux analysis, M0 and M1 macrophages exhibit comparable trends in oxygen consumption rate (OCR) and extracellular acidification rate (ECAR). Autofluorescence imaging of M0 and M1 macrophages was not only able to show acute changes in the optical redox ratio from pre-differentiation (0 hours) to 72 hours post-cytokine differentiation (M0: 0.320 to 0.258 and M1: 0.316 to 0.386), mean NADH lifetime (M0: 1.272 ns to 1.379 ns and M1: 1.265 ns to 1.206 ns), and A1/A2 ratio (M0: 3.452 to ~ 4 and M1: 3.537 to 4.529) but could also detect heterogeneity within each macrophage population. ConclusionsOverall, the findings of this study suggest that autofluorescence metabolic imaging could be a reliable technique for longitudinal tracking of immune cell metabolism during activation post-cytokine stimulation.
more »
« less
- Award ID(s):
- 1751554
- PAR ID:
- 10510000
- Publisher / Repository:
- Springer Nature
- Date Published:
- Journal Name:
- Cancer & Metabolism
- Volume:
- 11
- Issue:
- 1
- ISSN:
- 2049-3002
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Cardiac adaptation to hypoxic injury is regulated by dynamic interactions between cardiomyocytes and macrophages, yet the impacts of immune phenotypes on cardiac structure and contractility remain poorly understood. To address this, we developed the immuno-heart on a chip, a novel in vitro platform to investigate cardiomyocyte–macrophage interactions under normoxic and hypoxic conditions. By integrating neonatal rat ventricular myocytes (NRVMs) and bone marrow-derived macrophages—polarized to pro-inflammatory (M1) or pro-healing (M2/M2*) phenotypes—we elucidated the dual protective and detrimental roles macrophages play in modulating cardiomyocyte cytoskeletal architecture and contractility. Pro-inflammatory stimulation reduced cardiomyocyte structural metrics (z-line length, fraction, and integrity) in normoxic co-cultures. Under hypoxia, M1-stimulated NRVM monocultures exhibited declines in cytoskeletal organization—quantified by actin and z-line orientational order parameters. Relative to monocultures, M1-stimulated co-cultures attenuated hypoxia-induced active stress declines but produced weaker normoxic stresses. In contrast, pro-healing stimulation improved normoxic z-line metrics and preserved post-hypoxia cytoskeletal organization but reduced normoxic contractility. Notably, M2-stimulated macrophages restored normoxic contractility and preserved post-hypoxia systolic stress, albeit with increased diastolic stress. RNAseq analysis of M2-stimulated co-cultures identified upregulated structural and immune pathways driving these hypoxia-induced changes. Cytokine profiles revealed stimulation-specific and density-dependent tumor necrosis factor-alpha and interleukin-10 secretion patterns. Together, these findings quantitatively link clinically relevant macrophage phenotypes and cytokines to distinct changes in cardiac structure and contractility, offering mechanistic insights into immune modulation of hypoxia-induced dysfunction. Moreover, the immuno-heart on a chip represents an innovative framework to guide the development of future therapies that integrate immune and cardiac targets to enhance patient outcomes.more » « less
-
null (Ed.)Abstract Background Macrophages show versatile functions in innate immunity, infectious diseases, and progression of cancers and cardiovascular diseases. These versatile functions of macrophages are conducted by different macrophage phenotypes classified as classically activated macrophages and alternatively activated macrophages due to different stimuli in the complex in vivo cytokine environment. Dissecting the regulation of macrophage activations will have a significant impact on disease progression and therapeutic strategy. Mathematical modeling of macrophage activation can improve the understanding of this biological process through quantitative analysis and provide guidance to facilitate future experimental design. However, few results have been reported for a complete model of macrophage activation patterns. Results We globally searched and reviewed literature for macrophage activation from PubMed databases and screened the published experimental results. Temporal in vitro macrophage cytokine expression profiles from published results were selected to establish Boolean network models for macrophage activation patterns in response to three different stimuli. A combination of modeling methods including clustering, binarization, linear programming (LP), Boolean function determination, and semi-tensor product was applied to establish Boolean networks to quantify three macrophage activation patterns. The structure of the networks was confirmed based on protein-protein-interaction databases, pathway databases, and published experimental results. Computational predictions of the network evolution were compared against real experimental results to validate the effectiveness of the Boolean network models. Conclusion Three macrophage activation core evolution maps were established based on the Boolean networks using Matlab. Cytokine signatures of macrophage activation patterns were identified, providing a possible determination of macrophage activations using extracellular cytokine measurements.more » « less
-
Extracellular vesicles (EVs) have emerged as promising acellular tools for modulating immune responses for tissue engineering applications. This study explores the potential of human fibroblast-derived EVs delivered within a three-dimensional (3D) injectable scaffold composed of polycaprolactone (PCL) nanofibers and collagen (PNCOL) to reprogram macrophage behavior and support scaffold integrity under inflammatory conditions. EVs were successfully isolated from human fibroblasts using ultracentrifugation and characterized for purity, size distribution and surface markers (CD63 and CD9). Macrophage-laden PNCOL scaffolds were prepared under three conditions: macrophage-only (MP), fibroblast co-encapsulated (F-MP), and EV-encapsulated (EV-MP) groups. Structural integrity was assessed via scanning electron microscopy and Masson’s trichrome staining, while immunomodulatory effects were evaluated through metabolic assays, gene expression profiling, and immunohistochemistry for macrophage polarization markers (CD80, CD206). When co-encapsulated with pro-inflammatory (M1) macrophages in PNCOL scaffolds, fibroblast-derived EVs preserved scaffold structure and significantly enhanced macrophage metabolic activity compared to the control (MP) and other experimental group (F-MP). The gene expression and immunohistochemistry data demonstrated substantial upregulation of anti-inflammatory markers (TGF-β, CD163, and CCL18) and surface protein CD206, indicating a phenotypic shift toward M2-like macrophages for EV-encapsulated scaffolds relative to the other groups. The findings of this study demonstrate that fibroblast-derived EVs integrated into injectable PCL–collagen scaffolds offer a viable, cell-free approach to modulate inflammation, preserve scaffold structure, and support regenerative healing. This strategy holds significant promise for advancing immuno-instructive platforms in regenerative medicine, particularly in settings where conventional cell therapies face limitations in survival, cost, or safety.more » « less
-
Here we present a microfluidic model that allows for co-culture of human osteoblasts, chondrocytes, fibroblasts, and macrophages of both quiescent (M0) and pro-inflammatory (M1) phenotypes, maintaining initial viability of each cell type at 24 h of co-culture. We established healthy (M0-based) and diseased (M1-based) joint models within this system. An established disease model based on supplementation of IFN-γ and lipopolysaccharide in cell culture media was used to induce an M1 phenotype in macrophages to recapitulate inflammatory conditions found in Osteoarthritis. Cell viability was assessed using NucBlue™ Live and NucGreen™ Dead fluorescent stains, with mean viability of 83.9% ± 14% and 83.3% ± 12% for healthy and diseased models, respectively, compared with 93.3% ± 4% for cell in standard monoculture conditions. Cytotoxicity was assessed via a lactate dehydrogenase (LDH) assay and showed no measurable increase in lactate dehydrogenase release into the culture medium under co-culture conditions, indicating that neither model promotes a loss of cell membrane integrity due to cytotoxic effects. Cellular metabolic activity was assessed using a PrestoBlue™ assay and indicated increased cellular metabolic activity in co-culture, with levels 5.9 ± 3.2 times mean monolayer cell metabolic activity levels in the healthy joint model and 5.3 ± 3.4 times mean monolayer levels in the diseased model. Overall, these findings indicate that the multi-tissue nature ofin vivohuman joint conditions can be recapitulated by our microfluidic co-culture system at 24 h and thus this model serves as a promising tool for studying the pathophysiology of rheumatic diseases and testing potential therapeutics.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1186/s40170-023-00325-z
