Angela M. Otto

Functional cellular assays with multiparametric silicon sensor chips

Multiparametric silicon sensor chips mounted into biocompatible cell culture units have been used for investigations on cellular microphysiological patterns. Potentiometric, amperometric and impedimetric microsensors are combined on a common cell culture surface on the chip with an area of approximately 29 mm2. Extracellular acidification rates (with pH-sensitive field effect transistors, ISFETs), cellular oxygen consumption rates (with amperometric electrode structures) and cell morphological alterations (with impedimetric electrode structures, IDES) are monitored on single chips simultaneously for up to several days. The corresponding test device accommodates six of such sensor chips in parallel, provides electronic circuitry and maintains the required cell culture conditions (temperature, fluid perfusion system). Sensor data are transformed into quantitative information about microphysiologic conditions. The outcome of this transformation as well as reliability and sensitivity in detection of drug effects is discussed. This is the first report on multiparametric cell based assays with data obtained solely with integrated sensors on silicon chips. Those assays are required in different fields of application such as pharmaceutical drug screening, tumor chemosensitivity tests and environmental monitoring.

Relevance of tumor microenvironment for progression, therapy and drug development

Tumor interstitium exhibits a microenvironment that differs from corresponding normal tissues. Tumor phenotype shows, for example, an elevated intracellular pH (pHi), a lowered extracellular pH (pHe), a low oxygen concentration and low glucose levels. These differences are caused by cell biological (so called intrinsic) factors, e.g. a higher acidification rate, as well as by more systemic (extrinsic) factors, e.g. poor tumor vascularization. They represent important factors for invasiveness, immune suppression and proliferation, and they imply possibilities for diagnosis, prognosis and therapy. We have developed an experimental data-based computer model, which has simulated the potential role of metabolic effects on tumor progression. We show an experiment on cellular metabolism demonstrating the immunosuppressive impact of low pHe on peripheral blood mononuclear cells. Finally, we review important findings on the tumor microenvironment leading to possibilities for therapy which are currently evolving and which promise higher effectiveness for cancer therapy.

Magnetic particles as powerful purification tool for high sensitive mass spectrometric screening procedures

The effective isolation and purification of proteins from biological fluids is the most crucial step for a successful protein analysis when only minute amounts are available. While conventional purification methods such as dialysis, ultrafiltration or protein precipitation often lead to a marked loss of protein, SPE with small‐sized particles is a powerful alternative. The implementation of particles with superparamagnetic cores facilitates the handling of those particles and allows the application of particles in the nanometer to low micrometer range. Due to the small diameters, magnetic particles are advantageous for increasing sensitivity when using subsequent MS analysis or gel electrophoresis. In the last years, different types of magnetic particles were developed for specific protein purification purposes followed by analysis or screening procedures using MS or SDS gel electrophoresis. In this review, the use of magnetic particles for different applications, such as, the extraction and analysis of DNA/RNA, peptides and proteins, is described.

Microphysiological testing for chemosensitivity of living tumor cells with multiparametric microsensor chips

A constraint in the reliability of predictive chemosensitivity assays is linked to the fact that they analyze only a single cellular or biochemical parameter. A multiparametric test system using microsensor chips has been developed which can detect online microphysiological changes in living cells. Tumor cells were grown directly on glass- or silicon-based electronic sensor chips. Changes in extracellular pH and pO(2), reflecting metabolic activities, and changes in impedance, reflecting morphological properties, were monitored. In this study, colon and breast cancer cells as well as doxorubicin-sensitive and doxorubicin-resistant sarcoma cell lines were exposed to cytochalasin B, chloroacetaldehyde, or doxorubicin. Results show (1) reduction in medium acidification, (2) marked and rapid changes in O(2) consumption, and (3) modulations in impedance correlating with morphological changes observed in the microscope. Drug-resistant cells do not show these changes. Therefore, this microphysiological monitoring is a versatile tool for chemosensitivity testing of tumor cells.

Diffusion of hyperpolarized 13C-metabolites in tumor cell spheroids using real-time NMR spectroscopy

The detection of tumors noninvasively, the characterization of their progression by defined markers and the monitoring of response to treatment are goals of medical imaging techniques. In this article, a method which measures the apparent diffusion coefficients (ADCs) of metabolites using hyperpolarized 13C diffusion‐weighted spectroscopy is presented. A pulse sequence based on the pulsed gradient spin echo (PGSE) was developed that encodes both kinetics and diffusion information. In experiments with MCF‐7 human breast cancer cells, we detected an ADC of intracellularly produced lactate of 1.06 ± 0.15 µm2/ms, which is about one‐half of the value measured with pyruvate in extracellular culture medium. When monitoring tumor cell spheroids during progressive membrane permeabilization with Triton X‐100, the ratio of lactate ADC to pyruvate ADC increases as the fraction of dead cells increases. Therefore, 13C ADC detection can yield sensitive information on changes in membrane permeability and subsequent cell death. Our results suggest that both metabolic label exchange and 13C ADCs can be acquired simultaneously, and may potentially serve as noninvasive biomarkers for pathological changes in tumor cells. Copyright

Cellular Assays with Multiparametric Bioelectronic Sensor Chips

During recent years, sensor chip-based systems have been developed which monitor functional changes of living cells. Key elements of such cellular assays are silicon or glass chips with integrated sensors for physicochemical parameters, i.e. pH, pO 2 . electric impedance and temperature. Analysis of these primary parameters yields information about cell metabolism, cell growth and adhesion, and cell morphological changes. The operation principles of individual sensor types are described together with examples of experimental results.

Warburg effect(s)—a biographical sketch of Otto Warburg and his impacts on tumor metabolism

Virtually everyone working in cancer research is familiar with the “Warburg effect”, i.e., anaerobic glycolysis in the presence of oxygen in tumor cells. However, few people nowadays are aware of what lead Otto Warburg to the discovery of this observation and how his other scientific contributions are seminal to our present knowledge of metabolic and energetic processes in cells. Since science is a human endeavor, and a scientist is imbedded in a network of social and academic contacts, it is worth taking a glimpse into the biography of Otto Warburg to illustrate some of these influences and the historical landmarks in his life. His creative and innovative thinking and his experimental virtuosity set the framework for his scientific achievements, which were pioneering not only for cancer research. Here, I shall allude to the prestigious family background in imperial Germany; his relationships to Einstein, Meyerhof, Krebs, and other Nobel and notable scientists; his innovative technical developments and their applications in the advancement of biomedical sciences, including the manometer, tissue slicing, and cell cultivation. The latter were experimental prerequisites for the first metabolic measurements with tumor cells in the 1920s. In the 1930s–1940s, he improved spectrophotometry for chemical analysis and developed the optical tests for measuring activities of glycolytic enzymes. Warburg’s reputation brought him invitations to the USA and contacts with the Rockefeller Foundation; he received the Nobel Prize in 1931. World politics and world wars heavily affected Warburg’s scientific survival in Berlin. But, after his second postwar recovery, Warburg’s drive for unraveling the energetic processes of life, both in plants and in tumor cells, continued until his death in 1970. The legacy of Otto Warburg is not only the Warburg effect, but also the identification of the “respiratory ferment” and hydrogen-transferring cofactors and the isolation of glycolytic enzymes. His hypothesis of respiratory damage being the cause of cancer remains to be a provocative scientific issue, along with its implications for cancer treatment and prevention. Warburg is therefore still stimulating our thinking, as documented in a soaring increase in publications citing his name in the context of tumor metabolism.

Apparent rate constant mapping using hyperpolarized [1- 13 C]pyruvate

Hyperpolarization of [1‐13C]pyruvate in solution allows real‐time measurement of uptake and metabolism using MR spectroscopic methods. After injection and perfusion, pyruvate is taken up by the cells and enzymatically metabolized into downstream metabolites such as lactate, alanine, and bicarbonate. In this work, we present comprehensive methods for the quantification and interpretation of hyperpolarized 13C metabolite signals. First, a time‐domain spectral fitting method is described for the decomposition of FID signals into their metabolic constituents. For this purpose, the required chemical shift frequencies are automatically estimated using a matching pursuit algorithm. Second, a time‐discretized formulation of the two‐site exchange kinetic model is used to quantify metabolite signal dynamics by two characteristic rate constants in the form of (i) an apparent build‐up rate (quantifying the build‐up of downstream metabolites from the pyruvate substrate) and (ii) an effective decay rate (summarizing signal depletion due to repetitive excitation, T1‐relaxation and backward conversion). The presented spectral and kinetic quantification were experimentally verified in vitro and in vivo using hyperpolarized [1‐13C]pyruvate. Using temporally resolved IDEAL spiral CSI, spatially resolved apparent rate constant maps are also extracted. In comparison to single metabolite images, apparent build‐up rate constant maps provide improved contrast by emphasizing metabolically active tissues (e.g. tumors) and suppression of high perfusion regions with low conversion (e.g. blood vessels). Apparent build‐up rate constant mapping provides a novel quantitative image contrast for the characterization of metabolic activity. Its possible implementation as a quantitative standard will be subject to further studies. Copyright

Multimodal Assessment of In Vivo Metabolism with Hyperpolarized [1-13C]MR Spectroscopy and 18F-FDG PET Imaging in Hepatocellular Carcinoma Tumor–Bearing Rats

Abnormalities of tumor metabolism can be exploited for molecular imaging. PET imaging of 18F-FDG is a well-established method using the avid glucose uptake of tumor cells. 13C MR spectroscopic imaging (MRSI) of hyperpolarized [1-13C]pyruvate and its metabolites, meanwhile, represents a new method to study energy metabolism by visualizing, for example, the augmented lactate dehydrogenase activity in tumor cells. Because of rapid signal loss, this method underlies strict temporal limitations, and the acquisition of data—encoding spatial, temporal, and spectral information within this time frame—is challenging. The object of our study was to compare spectroscopic images with 18F-FDG PET images for visualizing tumor metabolism in a rat model. Methods: 13C MRSI with IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least-squares estimation) chemical shift imaging in combination with single-shot spiral acquisition was used to obtain dynamic data from 23 rats bearing a subcutaneous hepatocellular carcinoma and from reference regions of the same animals. Static and dynamic analysis of 18F-FDG PET images of the same animals was performed. The data were analyzed qualitatively (visual assessment) and quantitatively (magnitude and dynamics of 18F-FDG uptake, 13C MRSI dynamics, and physiologic parameters). Results: In most animals increased [1-13C]lactate signals in the tumor could be detected by simple display of integrated [1-13C]lactate images with corresponding enhanced 18F-FDG uptake. Low [1-13C]pyruvate or [1-13C]lactate signals did not correlate with histologic or physiologic parameters. Significantly less pyruvate reached the tumors than the gastrointestinal tract, but in tumors a significantly higher amount of pyruvate was converted to lactate and alanine within seconds after intravenous administration. Conclusion: This study reveals that PET and 13C MRSI can be used to visualize increased glycolytic flux in malignant tissue. The combination of signals will allow the quantitative dissection of substrate metabolism, with respect to uptake and downstream metabolic pathways. Although hyperpolarized [1-13C]pyruvate increases the sensitivity of MR imaging, signal-to-noise ratio constraints still apply for spatially and temporally resolved 13C MRSI, emphasizing the need for further MR methodologic development. These first imaging data suggest the feasibility of 13C MRSI for future clinical use.

Metabolism and microenvironment in cancer plasticity

Major contributions of the 2nd annual meeting of the International Society of Cancer Metabolism, held in Venice, September 16–19, 2015, are here described and discussed. Among these, the impact of cancer metabolism on local and systemic aggressiveness was analyzed in the context of interactions between cancer and stroma, microenvironmental changes, epigenetic, and stemness modulation.