Near-infrared Fluorescence Spectroscopy Detects Alzheimer’s Disease In Vitro

1999 ◽  
Vol 70 (2) ◽  
pp. 236 ◽  
Author(s):  
Eugene B. Hanlon ◽  
Irving Itzkan ◽  
Ramachandra R. Dasari ◽  
Michael S. Feld ◽  
Robert J. Ferrante ◽  
...  
1999 ◽  
Vol 70 (2) ◽  
pp. 236-242 ◽  
Author(s):  
Eugene B. Hanlon ◽  
Irving Itzkan ◽  
Ramachandra R. Dasari ◽  
Michael S. Feld ◽  
Robert J. Ferrante ◽  
...  

2018 ◽  
Vol 21 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Jian Yang ◽  
Jing Yang ◽  
Yuyan Li ◽  
Yungen Xu ◽  
Chongzhao Ran

2020 ◽  
Vol 187 ◽  
pp. 111982 ◽  
Author(s):  
Yusif Issahak Gyasi ◽  
Yi-Peng Pang ◽  
Xin-Rui Li ◽  
Jing-Xue Gu ◽  
Xiao-Jing Cheng ◽  
...  

2015 ◽  
Vol 112 (31) ◽  
pp. 9734-9739 ◽  
Author(s):  
Xueli Zhang ◽  
Yanli Tian ◽  
Can Zhang ◽  
Xiaoyu Tian ◽  
Alana W. Ross ◽  
...  

Near-infrared fluorescence (NIRF) molecular imaging has been widely applied to monitoring therapy of cancer and other diseases in preclinical studies; however, this technology has not been applied successfully to monitoring therapy for Alzheimer’s disease (AD). Although several NIRF probes for detecting amyloid beta (Aβ) species of AD have been reported, none of these probes has been used to monitor changes of Aβs during therapy. In this article, we demonstrated that CRANAD-3, a curcumin analog, is capable of detecting both soluble and insoluble Aβ species. In vivo imaging showed that the NIRF signal of CRANAD-3 from 4-mo-old transgenic AD (APP/PS1) mice was 2.29-fold higher than that from age-matched wild-type mice, indicating that CRANAD-3 is capable of detecting early molecular pathology. To verify the feasibility of CRANAD-3 for monitoring therapy, we first used the fast Aβ-lowering drug LY2811376, a well-characterized beta-amyloid cleaving enzyme-1 inhibitor, to treat APP/PS1 mice. Imaging data suggested that CRANAD-3 could monitor the decrease in Aβs after drug treatment. To validate the imaging capacity of CRANAD-3 further, we used it to monitor the therapeutic effect of CRANAD-17, a curcumin analog for inhibition of Aβ cross-linking. The imaging data indicated that the fluorescence signal in the CRANAD-17–treated group was significantly lower than that in the control group, and the result correlated with ELISA analysis of brain extraction and Aβ plaque counting. It was the first time, to our knowledge, that NIRF was used to monitor AD therapy, and we believe that our imaging technology has the potential to have a high impact on AD drug development.


2017 ◽  
Vol 62 (23) ◽  
pp. 1593-1601 ◽  
Author(s):  
Chen-Wei Wang ◽  
Dou-Dou Nan ◽  
Xin-Meng Wang ◽  
Zun-Ji Ke ◽  
Guo-Jun Chen ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Frank A. Greco ◽  
Ann C. McKee ◽  
Neil W. Kowall ◽  
Eugene B. Hanlon

Background: Medical imaging methods such as PET and MRI aid clinical assessment of Alzheimer’s disease (AD). Less expensive, less technically demanding, and more widely deployable technologies are needed to expand objective screening for diagnosis, treatment, and research. We previously reported brain tissue near-infrared optical spectroscopy (NIR) in vitro indicating the potential to meet this need. Objective: To determine whether completely non-invasive, clinical, NIR in vivo can distinguish AD patients from age-matched controls and to show the potential of NIR as a clinical screen and monitor of therapeutic efficacy. Methods: NIR spectra were acquired in vivo. Three groups were studied: autopsy-confirmed AD, control and mild cognitive impairment (MCI). A feature selection approach using the first derivative of the intensity normalized spectra was used to discover spectral regions that best distinguished “AD-alone” (i.e., without other significant neuropathology) from controls. The approach was then applied to other autopsy-confirmed AD cases and to clinically diagnosed MCI cases. Results: Two regions about 860 and 895 nm completely separate AD patients from controls and differentiate MCI subjects according to the degree of impairment. The 895 nm feature is more important in separating MCI subjects from controls (ratio-of-weights: 1.3); the 860 nm feature is more important for distinguishing MCI from AD (ratio-of-weights: 8.2). Conclusion: These results form a proof of the concept that near-infrared spectroscopy can detect and classify diseased and normal human brain in vivo. A clinical trial is needed to determine whether the two features can track disease progression and monitor potential therapeutic interventions.


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