Nonlinear scaling analysis of glucose metabolism in normal and cancer cells

V. Krishnan Ramanujan; Brian A. Herman

doi:10.1117/1.2928154

1 May 2008 Nonlinear scaling analysis of glucose metabolism in normal and cancer cells

V. Krishnan Ramanujan, Brian A. Herman

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Journal of Biomedical Optics, Vol. 13, Issue 3, 031219 (May 2008). https://doi.org/10.1117/1.2928154

Abstract

Cancer progression is commonly accompanied by an altered glucose metabolism. In general, spatially resolved imaging of glucose metabolism and its subtle alterations might provide valuable diagnostic information in vivo. A classical example is positron emission tomography that exploits this feature in obtaining preferential accumulation of fluorescent analog of glucose in tumors, thereby achieving an imaging contrast. We report a novel scaling analysis of glucose metabolism in mammary epithelial (NMuMG) cells by detrended fluctuation analysis of Cerulean (cyan fluorescent protein variant) fluorescence. Fluorescence fluctuations of Cerulean are reasoned to be indicative of dynamic pH changes associated with glucose metabolism. Normal parental cells and the spontaneously transformed (cancerous) NMuMG cells displayed robust scaling exponent that reflects nonrandom fluctuations in Cerulean fluorescence. Acute dependence of cancer cells on glycolysis as compared with normal cells is exploited to yield a statistically significant difference in scaling exponent, thereby providing discrimination between normal and cancer cells in vitro. By careful design of experiments in vivo, the proposed scaling approach might even have diagnostic potential for early detection of cancer lesions in small animal models.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

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V. Krishnan Ramanujan and Brian A. Herman "Nonlinear scaling analysis of glucose metabolism in normal and cancer cells," Journal of Biomedical Optics 13(3), 031219 (1 May 2008). https://doi.org/10.1117/1.2928154

Published: 1 May 2008

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KEYWORDS

Cancer

Glucose

Luminescence

Mode conditioning cables

In vivo imaging

Fluorescent proteins

Tumors

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