Label-free Metabolic Imaging Research Articles

Abstract 6444: Assessing cytotoxic T cell responses to immune checkpoint inhibitors in murine and human tumor samples using metabolic imaging

Abstract Background Immune checkpoint inhibitors (ICI) have revolutionized cancer treatment. Unfortunately, existing FDA approved biomarkers do not accurately predict which patients will respond. The Elephas Cybrid™ platform aims to improve ICI response prediction by imaging a patient’s biopsy treated with ICI ex vivo. Multiphoton microscopy (MPM) is a powerful imaging technique to interrogate the biological changes in live tumor fragments (LTFs) following ICI treatment. MPM allows rapid visualization of biological processes in 3D living tissues in a non-destructive fashion allowing for longitudinal assessment of a sample. We and others have used label-free metabolic imaging to demonstrate that changes in T cell metabolism and activation status are correlated. Using MPM imaging we successfully demonstrated T cell activation and T cell mediated cytotoxicity in response to ICI in LTFs and tumor biopsies. Methods Tumors were cut into LTFs, sorted, and cultured using the Cybrid platform. LTF structure and metabolic status were assessed using intrinsically fluorescent NAD(P)H and FAD. Anti-CD8 nanobodies and cleaved caspase 3/7 dye were used to characterize T cell cytotoxicity. Multi-channel fluorescence intensity and lifetime were obtained over 48 hours using MPM. Results Murine CT26 LTFs generated with the Cybrid platform were treated with ICI and cytotoxicity was assessed in the intact LTFs by monitoring caspase 3/7 activity using MPM over 48 hours. We found that ICI treatment resulted in a significant increase in caspase 3/7 activity compared to control treated LTFs. By blocking the interaction of T cells with tumor cells through antibody blockade, we demonstrated that the cytotoxicity observed was T cell mediated. As additional confirmation, we measured changes in cytotoxicity in the ICI resistant LLC1 tumor model. As expected, we did not observe an increase in cytotoxicity in LLC1 LTFs treated with ICI. MPM allows for the tracking of labeled T cells and characterization of their metabolism as a means of assessing changes in their activation state. We used a CD8 nanobody to label T cells in CT26 LTFs and then characterized the shift in metabolism following ICI treatment. Finally, we applied the Cybrid platform to human biopsies treated with ICI and characterized the cytotoxicity and shifts in T cell metabolism in living tissue. These data show that the Cybrid platform can measure changes in T cell metabolism and T cell cytotoxicity in response to ICI in 3D living tissue. Conclusions The methods presented herein will advance the field of cancer diagnostics by progressing from fixed tissue imaging and genetic characterization to the assessment of clinically relevant ICI-treated biopsies. Understanding the response of biopsies to immunotherapies will allow clinicians to make more informed treatment decisions and improve the lives of those with cancer. Citation Format: Jonathan Ouellette, Janey Degnan, Anna Kellner, Evan Flietner, Lindsay Doebert, Zachary Swider, Eric Wait, Victoria Pope, Laura Hrycyniak, Sean Caenepeel, Kevin Eliceiri, T S. Ramasubramanian, Michael J. Korrer. Assessing cytotoxic T cell responses to immune checkpoint inhibitors in murine and human tumor samples using metabolic imaging [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6444.

Label-Free Metabolic Imaging In Vivo by Two-Photon Fluorescence Lifetime Endomicroscopy

NADH intensity and fluorescence lifetime characteristics have proved valuable intrinsic biomarkers for profiling the cellular metabolic status of living biological tissues. To fully leverage the potential of NADH fluorescence lifetime imaging microscopy (FLIM) in (pre)clinical studies and translational applications, a compact and flexible endomicroscopic embodiment is essential. Herein we present our newly developed two-photon fluorescence (2PF) lifetime imaging endomicroscope (2p-FLeM) that features an about 2 mm diameter, subcellular resolution, and excellent emission photon utilization efficiency and can extract NADH lifetime parameters of living tissues and organs reliably using a safe excitation power (∼30 mW) and moderate pixel dwelling time (≤10 μs). In vivo experiments showed that the 2p-FLeM system was capable of tracking NADH lifetime dynamics of cultured cancer cells and subcutaneous mouse tumor models subject to induced apoptosis, and of a functioning mouse kidney undergoing acute ischemia–reperfusion perturbation. The complementary structural and metabolic information afforded by the 2p-FLeM system promises functional histological imaging of label-free internal organs in vivo and in situ for practical clinical diagnosis and therapeutics applications.

Label-free metabolic imaging for sensitive and robust monitoring of anti-CD47 immunotherapy response in triple-negative breast cancer

BackgroundImmunotherapy is revolutionizing cancer treatment from conventional radiotherapies and chemotherapies to immune checkpoint inhibitors which use patients’ immune system to recognize and attack cancer cells. Despite the huge clinical success...

Label-free metabolic imaging of non-alcoholic-fatty-liver-disease (NAFLD) liver by volumetric dynamic optical coherence tomography.

Label-free metabolic imaging of non-alcoholic fatty liver disease (NAFLD) mouse liver is demonstrated ex vivo by dynamic optical coherence tomography (OCT). The NAFLD mouse is a methionine choline-deficient (MCD)-diet model, and two mice fed the MCD diet for 1 and 2 weeks are involved in addition to a normal-diet mouse. The dynamic OCT is based on repeating raster scan and logarithmic intensity variance (LIV) analysis that enables volumetric metabolic imaging with a standard-speed (50,000 A-lines/s) OCT system. Metabolic domains associated with lipid droplet accumulation and inflammation are clearly visualized three-dimensionally. Particularly, the normal-diet liver exhibits highly metabolic vessel-like structures of peri-vascular hepatic zones. The 1-week MCD-diet liver shows ring-shaped highly metabolic structures formed with lipid droplets. The 2-week MCD-diet liver exhibits fragmented vessel-like structures associated with inflammation. These results imply that volumetric LIV imaging is useful for visualizing and assessing NAFLD abnormalities.

Abstract 2466: Metabolic characterization of breast cancer cells and extracellular vesicles using fluorescence lifetime imaging microscopy

Abstract Extracellular vesicles (EVs) mediate cellular communication by exchanging molecules such as proteins and nucleic acids. EVs are often generated in large quantities by cancer cells and are considered a promising diagnostic biomarker that may provide information on the tumor microenvironment. Tumor cells display characteristic metabolic changes such as the Warburg effect. However, many methods to characterize the metabolism of cells or EVs are destructive or indiscriminate, losing their individual heterogeneity. There is a need to better characterize the metabolism of individual breast cancer cells and single EVs to provide insights into their heterogeneous nature and interactions in the tumor microenvironment. Two-photon fluorescence lifetime imaging microscopy (FLIM), a label-free metabolic imaging technique that can spatially map the autofluorescence properties of NAD(P)H, was used to metabolically characterize breast cancer cells and their derived EVs. EVs of size 100-1000 nm were extracted via differential ultracentrifugation from media conditioned with breast cells. Metabolic stressors including various concentrations of glucose, pyruvate, and lactate were placed on human breast cancer (MDA-MB-231) cells in culture. Subsequently, cells and EVs were imaged with FLIM to determine the metabolic relationship between individual cells and EVs. Additionally, normal human breast cells (MCF10A) and breast cancer cells (MDA-MB-231, MCF7) were imaged with FLIM to determine the metabolic signatures of the three breast cell lines. Images were analyzed using a custom EV detection algorithm, FLIM-phasor analysis, and CellPose. EV collection was validated with Nanotracker Analysis, transmission electron microscopy, and Raman spectroscopy. Human MCF10A cell populations showed significantly lower mean lifetimes than either MDA-MB-231 or MCF7 cells. This suggests that FLIM can be used to differentiate populations of cancerous and non-cancerous breast cells in an individual, non-invasive manner. MDA-MB-231 EVs showed a Gaussian and heterogenous metabolic distribution of NAD(P)H fluorescence lifetimes. This suggests a range of different NAD(P)H species that are free and protein-bound. Fluorescence lifetimes from MDA-MB-231 EVs also demonstrated a wider standard deviation from their corresponding parent cells, and a different distribution from various sub-cellular regions of the parent cell. Additionally, when metabolites available in culture media were changed to induce metabolic changes in cells, similar metabolic changes were reflected in the signatures of their released EVs. These results indicate that FLIM can be a powerful label-free non-perturbative tool to examine both single cells and EVs, as well as their heterogeneous populations, in order to further understand the concurrent metabolic properties of breast cancer cells and their released EVs. Citation Format: Elisabeth M. Martin, Janet E. Sorrells, Edita Aksamitiene, Prabuddha Mukherjee, Aneesh Alex, Eric J. Chaney, Marina Marjanovic, Stephen A. Boppart. Metabolic characterization of breast cancer cells and extracellular vesicles using fluorescence lifetime imaging microscopy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2466.

Autofluorescence Imaging of 3D Tumor-Macrophage Microscale Cultures Resolves Spatial and Temporal Dynamics of Macrophage Metabolism.

Macrophages within the tumor microenvironment (TME) exhibit a spectrum of protumor and antitumor functions, yet it is unclear how the TME regulates this macrophage heterogeneity. Standard methods to measure macrophage heterogeneity require destructive processing, limiting spatiotemporal studies of function within the live, intact 3D TME. Here, we demonstrate two-photon autofluorescence imaging of NAD(P)H and FAD to nondestructively resolve spatiotemporal metabolic heterogeneity of individual macrophages within 3D microscale TME models. Fluorescence lifetimes and intensities of NAD(P)H and FAD were acquired at 24, 48, and 72 hours poststimulation for mouse macrophages (RAW264.7) stimulated with IFNγ or IL4 plus IL13 in 2D culture, confirming that autofluorescence measurements capture known metabolic phenotypes. To quantify metabolic dynamics of macrophages within the TME, mouse macrophages or human monocytes (RAW264.7 or THP-1) were cultured alone or with breast cancer cells (mouse polyoma-middle T virus or primary human IDC) in 3D microfluidic platforms. Human monocytes and mouse macrophages in tumor cocultures exhibited significantly different FAD mean lifetimes and greater migration than monocultures at 24, 48, and 72 hours postseeding. In cocultures with primary human cancer cells, actively migrating monocyte-derived macrophages had greater redox ratios [NAD(P)H/FAD intensity] compared with passively migrating monocytes at 24 and 48 hours postseeding, reflecting metabolic heterogeneity in this subpopulation of monocytes. Genetic analyses further confirmed this metabolic heterogeneity. These results establish label-free autofluorescence imaging to quantify dynamic metabolism, polarization, and migration of macrophages at single-cell resolution within 3D microscale models. This combined culture and imaging system provides unique insights into spatiotemporal tumor-immune cross-talk within the 3D TME. SIGNIFICANCE: Label-free metabolic imaging and microscale culture technologies enable monitoring of single-cell macrophage metabolism, migration, and function in the 3D tumor microenvironment.

Abstract 4993: Label-free metabolic imaging of T cell response to the tumor microenvironment

Abstract Numerous factors including low pH, low glucose, and high lactic acid levels in tumors create an immunosuppressive tumor microenvironment. This immunosuppression is partially due to the metabolic requirements of T cell activation, which are difficult to meet in the tumor microenvironment. The goal of this study is to use label-free optical metabolic imaging (OMI) of the metabolic co-factors NAD(P)H and FAD in CD3-conjugated (activated) and control T cells to monitor metabolic changes of T cells within tumor micro environmental conditions. Single-cell measurements include the optical redox ratio (fluorescence intensity of NAD(P)H divided by FAD), which measures the oxidation-reduction state of the cell, and the mean fluorescence lifetimes (τm) of NAD(P)H and FAD, which measure enzyme-binding activity in the cell. Jurkat T cells were conjugated with CD3 antibody over a two-day incubation period to achieve activation. Control and CD3-conjugated cells were exposed to environments with increasing concentrations of lactic acid (0-20 mM), hydrochloric acid (HCl; pH 6.4- 7.4), and glucose deprivation to mimic the tumor microenvironment. OMI monitored metabolic changes on a single-cell level without confounding factors associated with cell surface marker labeling. Treatment with lactic acid resulted in a significant dose-dependent decrease in the FAD τm and optical redox ratio (p<0.005). Along with changes in metabolism, OMI also resolved impaired mobility of the T cells with increasing lactic acid concentrations. Lactic acid affects both pH and metabolism, so cells were separately exposed to different concentrations of HCl (pH 6.4 - pH 7.4) to monitor pH effects alone. In control cells, the optical redox ratio decreased with decreasing pH (p<0.005). Conversely, in the presence of CD3, the optical redox ratio increased with decreasing pH (p<0.005). CD3 conjugation in glucose deprived environments also resulted in increases in both optical redox ratio and NAD(P)H τm. Cellular viability assays indicate apoptosis only in the lowest pH environment (pH 6.4, p<0.005). These studies indicate that OMI is a promising label-free approach to investigate the effects of the tumor microenvironment on T cell metabolism, activation, and drug response. Citation Format: Ava VanDommelen, Amani Gillette, Manish S. Patankar, Melissa Skala. Label-free metabolic imaging of T cell response to the tumor microenvironment [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4993.

3D extracellular matrix microenvironment in bioengineered tissue models of primary pediatric and adult brain tumors

Dynamic alterations in the unique brain extracellular matrix (ECM) are involved in malignant brain tumors. Yet studies of brain ECM roles in tumor cell behavior have been difficult due to lack of access to the human brain. We present a tunable 3D bioengineered brain tissue platform by integrating microenvironmental cues of native brain-derived ECMs and live imaging to systematically evaluate patient-derived brain tumor responses. Using pediatric ependymoma and adult glioblastoma as examples, the 3D brain ECM-containing microenvironment with a balance of cell-cell and cell-matrix interactions supports distinctive phenotypes associated with tumor type-specific and ECM-dependent patterns in the tumor cells’ transcriptomic and release profiles. Label-free metabolic imaging of the composite model structure identifies metabolically distinct sub-populations within a tumor type and captures extracellular lipid-containing droplets with potential implications in drug response. The versatile bioengineered 3D tumor tissue system sets the stage for mechanistic studies deciphering microenvironmental role in brain tumor progression.

The 3D OrbiSIMS-label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power.

We report the development of a 3D OrbiSIMS instrument for label-free biomedical imaging. It combines the high spatial resolution of secondary ion mass spectrometry (SIMS; under 200 nm for inorganic species and under 2 μm for biomolecules) with the high mass-resolving power of an Orbitrap (>240,000 at m/z 200). This allows exogenous and endogenous metabolites to be visualized in 3D with subcellular resolution. We imaged the distribution of neurotransmitters-gamma-aminobutyric acid, dopamine and serotonin-with high spectroscopic confidence in the mouse hippocampus. We also putatively annotated and mapped the subcellular localization of 29 sulfoglycosphingolipids and 45 glycerophospholipids, and we confirmed lipid identities with tandem mass spectrometry. We demonstrated single-cell metabolomic profiling using rat alveolar macrophage cells incubated with different concentrations of the drug amiodarone, and we observed that the upregulation of phospholipid species and cholesterol is correlated with the accumulation of amiodarone.

Metabolic fingerprinting of bacteria by fluorescence lifetime imaging microscopy

Bacterial populations exhibit a range of metabolic states influenced by their environment, intra- and interspecies interactions. The identification of bacterial metabolic states and transitions between them in their native environment promises to elucidate community behavior and stochastic processes, such as antibiotic resistance acquisition. In this work, we employ two-photon fluorescence lifetime imaging microscopy (FLIM) to create a metabolic fingerprint of individual bacteria and populations. FLIM of autofluorescent reduced nicotinamide adenine dinucleotide (phosphate), NAD(P)H, has been previously exploited for label-free metabolic imaging of mammalian cells. However, NAD(P)H FLIM has not been established as a metabolic proxy in bacteria. Applying the phasor approach, we create FLIM-phasor maps of Escherichia coli, Salmonella enterica serovar Typhimurium, Pseudomonas aeruginosa, Bacillus subtilis, and Staphylococcus epidermidis at the single cell and population levels. The bacterial phasor is sensitive to environmental conditions such as antibiotic exposure and growth phase, suggesting that observed shifts in the phasor are representative of metabolic changes within the cells. The FLIM-phasor approach represents a powerful, non-invasive imaging technique to study bacterial metabolism in situ and could provide unique insights into bacterial community behavior, pathology and antibiotic resistance with sub-cellular resolution.

FLIM Phasor Fingerprint of Bacterial Metabolic State

While a large number of bacteria are deemed beneficial, there is an increasing number of strains associated with pathology, including life-threatening diseases. Moreover, during the last decade, a large number of new infectious strains have been discovered. Treatment is often hindered by emergence multi-drug resistant bacterial strains. Bacteria adapt to adverse environmental conditions by changing their metabolic activity. Further, there also exists metabolic diversity within the same population. Non-invasive assessment of bacterial metabolism could shed light on their physiological status. In this work we employ two-photon fluorescence lifetime imaging microscopy (FLIM) of live, clinically relevant bacteria. FLIM of autofluorescent metabolic coenzyme reduced nicotinamide adenine dinucleotide (phosphate), NAD(P)H, has been extensively exploited for label-free metabolic imaging of mammalian cells to study cancer and other diseases. However, it has not been explored to similar extents in bacteria. We apply phasor analysis to FLIM and create FLIM-phasor fingerprints of bacteria species Escherichia coli, Salmonella enterica serovar Typhimurium, Pseudomonas aeruginosa, Bacillus subtilis, and Staphylococcus epidermidis. The FLIM-phasor method also allows metabolic fingerprinting of individual bacteria within a population. We demonstrate that the NAD(P)H FLIM-phasor fingerprint of bacteria is sensitive to bacteriostatic and bactericidal antibiotics treatment. Furthermore, it varied with cell growth phase of planktonic cultures, suggesting that characteristic shifts in the NAD(P)H FLIM-phasor are representative of modulation of metabolic state of the cells. The FLIM-phasor approach represents a powerful non-invasive imaging technique to study bacterial metabolism and characterize the phasor fingerprint of bacteria under various conditions. This method could prove important in understanding bacteria related pathology, drug response and therapy as well as emergence of newer drug-resistant bacterial strains, all in a label-free manner.Work supported in part by NIH grants P50GM076516,P41GM103540

Subcellular Level Optical Metabolic Imaging of Induced Pluoripotent Stem Cells using Endogenous Fluorophore

In this work we show label-free metabolic imaging of induced pluoripotent stem (iPS) cell delineating regions of different metabolic activity at subcellular level. iPS cells, which are derived from adult somatic cells (skin fibroblast in this case) by nuclear reprogramming, possess pluoripotency. Hence, these cells offer a unique platform for stem cell research, drug discovery and testing, disease treatment development and toxicological screening. The phasor approach was applied to endogenous NADH fluorescence lifetime imaging microscopy (FLIM) to map free to bound NADH ratio distribution within single cells. The FLIM phasor distribution shows a clear difference between metabolic states of the nucleus and cytoplasmic regions. The nuclei had a larger fraction of free NADH indicated by a distribution shifted more toward the shorter lifetime as compared to the phasor distribution of the cytoplasm. Also within the nucleus, two distinct lifetime distributions were observed with the perinuclear region having more bound fraction of NADH and an abundance of free NADH in the central nucleolus region. A similar observation was reported in myoblasts [Microscopy research and technique,75(12),1717-22,(2012)]. Furthermore, within the cytoplasm there are some regions with more bound NADH. This could be due to presence of more protein bound NADH within the mitochondria. The phasor analysis also revealed a unique long lifetime distribution which arose from small granular like structures within the iPS cells. These areas also had higher intensities compared to rest of the cells. This could be liquid droplet-associated granules (LDAGs) which were previously observed by Stringari et al [Journal of biomedical optics 17(4),046012,(2012)] in embryonic stem cell. Hence, we show mapping of metabolic activity of iPS cells at subcellular resolution employing a non-invasive, label-free, optical microscopy technique.Work supported in part by NIH grants P50GM076516, P41GM103540 and UH2TR000481-0.