scholarly journals Characterization of Distinctive In Vivo Metabolism between Enhancing and Non-Enhancing Gliomas Using Hyperpolarized Carbon-13 MRI

Metabolites ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 504
Author(s):  
Seunggwi Park ◽  
Hashizume Rintaro ◽  
Seul Kee Kim ◽  
Ilwoo Park

The development of hyperpolarized carbon-13 (13C) metabolic MRI has enabled the sensitive and noninvasive assessment of real-time in vivo metabolism in tumors. Although several studies have explored the feasibility of using hyperpolarized 13C metabolic imaging for neuro-oncology applications, most of these studies utilized high-grade enhancing tumors, and little is known about hyperpolarized 13C metabolic features of a non-enhancing tumor. In this study, 13C MR spectroscopic imaging with hyperpolarized [1-13C]pyruvate was applied for the differential characterization of metabolic profiles between enhancing and non-enhancing gliomas using rodent models of glioblastoma and a diffuse midline glioma. Distinct metabolic profiles were found between the enhancing and non-enhancing tumors, as well as their contralateral normal-appearing brain tissues. The preliminary results from this study suggest that the characterization of metabolic patterns from hyperpolarized 13C imaging between non-enhancing and enhancing tumors may be beneficial not only for understanding distinct metabolic features between the two lesions, but also for providing a basis for understanding 13C metabolic processes in ongoing clinical trials with neuro-oncology patients using this technology.

Metabolites ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 222
Author(s):  
Nguyen-Trong Nguyen ◽  
Eun-Hui Bae ◽  
Luu-Ngoc Do ◽  
Tien-Anh Nguyen ◽  
Ilwoo Park ◽  
...  

Alport Syndrome (AS) is a genetic disorder characterized by impaired kidney function. The development of a noninvasive tool for early diagnosis and monitoring of renal function during disease progression is of clinical importance. Hyperpolarized 13C MRI is an emerging technique that enables non-invasive, real-time measurement of in vivo metabolism. This study aimed to investigate the feasibility of using this technique for assessing changes in renal metabolism in the mouse model of AS. Mice with AS demonstrated a significant reduction in the level of lactate from 4- to 7-week-old, while the levels of lactate were unchanged in the control mice over time. This reduction in lactate production in the AS group accompanied a significant increase of PEPCK expression levels, indicating that the disease progression in AS triggered the gluconeogenic pathway and might have resulted in a decreased lactate pool size and a subsequent reduction in pyruvate-to-lactate conversion. Additional metabolic imaging parameters, including the level of lactate and pyruvate, were found to be different between the AS and control groups. These preliminary results suggest that hyperpolarized 13C MRI might provide a potential noninvasive tool for the characterization of disease progression in AS.


2009 ◽  
Vol 197 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Albert P. Chen ◽  
James Tropp ◽  
Ralph E. Hurd ◽  
Mark Van Criekinge ◽  
Lucas G. Carvajal ◽  
...  

2020 ◽  
Vol 27 ◽  
pp. 102323 ◽  
Author(s):  
Adam W. Autry ◽  
Jeremy W. Gordon ◽  
Hsin-Yu Chen ◽  
Marisa LaFontaine ◽  
Robert Bok ◽  
...  

2009 ◽  
Vol 20 (6) ◽  
pp. 1171-1178 ◽  
Author(s):  
Karen E. Linder ◽  
Edmund Metcalfe ◽  
Thangavel Arunachalam ◽  
Jianqing Chen ◽  
Stephen M. Eaton ◽  
...  

2010 ◽  
Vol 204 (2) ◽  
pp. 340-345 ◽  
Author(s):  
Dirk Mayer ◽  
Yi-Fen Yen ◽  
Yakir S. Levin ◽  
James Tropp ◽  
Adolf Pfefferbaum ◽  
...  

2006 ◽  
Vol 66 (22) ◽  
pp. 10855-10860 ◽  
Author(s):  
Klaes Golman ◽  
René in't Zandt ◽  
Mathilde Lerche ◽  
Rikard Pehrson ◽  
Jan Henrik Ardenkjaer-Larsen

2012 ◽  
Vol 40 (7) ◽  
pp. 1345-1356 ◽  
Author(s):  
Hong Su ◽  
David W. Boulton ◽  
Anthony Barros ◽  
Lifei Wang ◽  
Kai Cao ◽  
...  

2019 ◽  
Vol 116 (48) ◽  
pp. 24012-24018 ◽  
Author(s):  
Sixian You ◽  
Ronit Barkalifa ◽  
Eric J. Chaney ◽  
Haohua Tu ◽  
Jaena Park ◽  
...  

Despite extensive interest, extracellular vesicle (EV) research remains technically challenging. One of the unexplored gaps in EV research has been the inability to characterize the spatially and functionally heterogeneous populations of EVs based on their metabolic profile. In this paper, we utilize the intrinsic optical metabolic and structural contrast of EVs and demonstrate in vivo/in situ characterization of EVs in a variety of unprocessed (pre)clinical samples. With a pixel-level segmentation mask provided by the deep neural network, individual EVs can be analyzed in terms of their optical signature in the context of their spatial distribution. Quantitative analysis of living tumor-bearing animals and fresh excised human breast tissue revealed abundance of NAD(P)H-rich EVs within the tumor, near the tumor boundary, and around vessel structures. Furthermore, the percentage of NAD(P)H-rich EVs is highly correlated with human breast cancer diagnosis, which emphasizes the important role of metabolic imaging for EV characterization as well as its potential for clinical applications. In addition to the characterization of EV properties, we also demonstrate label-free monitoring of EV dynamics (uptake, release, and movement) in live cells and animals. The in situ metabolic profiling capacity of the proposed method together with the finding of increasing NAD(P)H-rich EV subpopulations in breast cancer have the potential for empowering applications in basic science and enhancing our understanding of the active metabolic roles that EVs play in cancer progression.


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