Journal of Innovative Optical Health Sciences, Vol. 12, Issue 5, 1940006 (2019)
Detecting benign uterine tumors by autofluorescence lifetime imaging microscopy through adjacent healthy cervical tissues
Maojia Huang1, Zixiao Zhang1, Xinyi Wang1, Yonghui Xie2, Yiyan Fei1, Jiong Ma1, Jing Wang3, Li Chen4, Lan Mi1, and Yulan Wang5,*
- 1Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Fudan University, Shanghai 200433, P. R. China
- 2Department of Pathology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, P. R. China
- 3State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, P. R. China
- 4School of Arts and Sciences, MCPHS University, Boston, MA 02115, U. S. A.
- 5Department of Gynecology, The Central Hospital of Wuhan, Tongji Medical College Huazhong University of Science and Technology, Wuhan 430014, P. R. China
The endogenous fluorophores such as reduced nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD) in cells and tissues can be imaged by fluorescence lifetime imaging microscopy (FLIM) to show the tissue morphology features, as well as the biomolecular changes in microenvironment. The two important coenzymes in cellular metabolism, NAD(P)H and FAD, can be used to monitor the cellular metabolic status. This work proposed a novel method to study the uterine metabolism at the adjacent site of healthy cervix. It was found that the benign uterine tumors such as leiomyomas and adenomyosis with abnormal cell growth can be detected by measuring the fluorescence lifetime of NAD(P)H and FAD in adjacent healthy cervical tissues. This method opened a novel strategy for afflicted women to undergo the cervical biopsies instead of hysterectomies for detecting tumors, which can preserve the fertility of patients. The FLIM studying on NAD(P)H and FAD indicated the correlation between metabolism and some diseases, including diabetes, hyperthyroidism and obesity. It was also suggested that the metabolic level might be quite different for a patient with a malignant tumor history.
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