Obesity is an established risk factor for a number of human diseases such as diabetes, heart disease, and cancer. Recent rapid increase in childhood obesity suggests the adverse effects of obesity on human health will be a major concern for the near future. To evaluate the impact of obesity on health risks, we first apply existing nonlinear optical (NLO) imaging technologies to characterize obesity-associated diseases in live tissues. Second, we develop novel NLO imaging technologies to advance the capability for diagnosis of obesity-associated diseases in live animals. Using a multi-modal NLO microscopy and an obesity- associated breast cancer rat model, we demonstrated the ability to image tumor cells and the significant components of the tumor stroma, such as blood capillaries, adipocytes, and collagen fibrils without labeling in live tissues. We observed that obesity alters the structure and composition of mammary tumor stroma and increases the incidence of mammary tumor aggressiveness. During this research training period, we will correlate the structure and composition of tumor stroma with tumor aggressiveness to lay the foundation for the development of NLO imaging as a diagnostic tool for breast cancer phenotype. A video-rate NLO microscope will be constructed to enable monitoring tumor progression in live animals. Using NLO microscopy on a diabetes-induced coronary artery disease pig model, we described the ability to visualize the significant components of an atheroma, such as intimal fatty streaks; foamy macrophages, collagen fibers, elastin, and cells lining the arterial wall without labeling in live tissues. We observed significant differences in the composition of atheromas in pigs with and without exercise therapy. During this research training period, we will further identify the components of atheromas and characterize the three-dimensional structural organization of these components. In addition, we will develop a catheter-based, multi-modal NLO endoscope that enables imaging of atheromas in situ. Our efforts in characterizing the composition and structural organization of atheromas and mammary tumor will facilitate rapid clinical application of novel NLO technologies to imaging and diagnosis of obesity-associated diseases. Obesity is an established risk factor for a number of human diseases such as diabetes, heart disease, and cancer. To evaluate the impact of obesity on health risks, we first apply existing nonlinear optical (NLO) imaging technologies to characterize obesity-associated diseases in live tissues. Second, we develop novel NLO imaging technologies to advance the capability for diagnosis of obesity-associated diseases in live animals. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32HL089074-02
Application #
7446725
Study Section
Special Emphasis Panel (ZRG1-F15-N (20))
Program Officer
Meadows, Tawanna
Project Start
2007-05-14
Project End
2010-05-13
Budget Start
2008-05-14
Budget End
2009-05-13
Support Year
2
Fiscal Year
2008
Total Cost
$49,646
Indirect Cost
Name
Purdue University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
Le, Thuc T; Duren, Holli M; Slipchenko, Mikhail N et al. (2010) Label-free quantitative analysis of lipid metabolism in living Caenorhabditis elegans. J Lipid Res 51:672-7
Le, Thuc T; Yue, Shuhua; Cheng, Ji-Xin (2010) Shedding new light on lipid biology with coherent anti-Stokes Raman scattering microscopy. J Lipid Res 51:3091-102
Bao, Ning; Le, Thuc T; Cheng, Ji-Xin et al. (2010) Microfluidic electroporation of tumor and blood cells: observation of nucleus expansion and implications on selective analysis and purging of circulating tumor cells. Integr Biol (Camb) 2:113-20
Yen, Kelvin; Le, Thuc T; Bansal, Ankita et al. (2010) A comparative study of fat storage quantitation in nematode Caenorhabditis elegans using label and label-free methods. PLoS One 5:
Le, Thuc T; Cheng, Ji-Xin (2009) Single-cell profiling reveals the origin of phenotypic variability in adipogenesis. PLoS One 4:e5189
Wang, Han-Wei; Fu, Yan; Huff, Terry B et al. (2009) Chasing lipids in health and diseases by coherent anti-Stokes Raman scattering microscopy. Vib Spectrosc 50:160-167
Le, Thuc T; Cheng, Ji-Xin (2009) Non-Linear Optical Imaging of Obesity-Related Health Risks: Review. J Innov Opt Health Sci 2:9-25
Le, Thuc T; Huff, Terry B; Cheng, Ji-Xin (2009) Coherent anti-Stokes Raman scattering imaging of lipids in cancer metastasis. BMC Cancer 9:42
Slipchenko, Mikhail N; Le, Thuc T; Chen, Hongtao et al. (2009) High-speed vibrational imaging and spectral analysis of lipid bodies by compound Raman microscopy. J Phys Chem B 113:7681-6