Oxidative Stress Monitoring Platform: A Longitudinal In vitro Multinuclear (1H/19F) MR Spectroscopic Study.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Pravat K Mandal, Yashika Arora, Avantika Samkaria, Joseph C Maroon, Vincenzo Fodale, Yatin Mehta, Yue-Fang Chang
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引用次数: 0

Abstract

Glutathione (GSH) is a master antioxidant that counters oxidative stress. Clinical studies have confirmed significant depletion of GSH in the hippocampus and the substantia nigra as an early diagnostic biomarker for Alzheimer's disease (AD) and Parkinson disease (PD), respectively. External agents like anesthetics (inhaled and intravenous) have a different impact on GSH. There is significant depletion of the serum GSH peroxidase level after surgery with isoflurane anesthesia that is not found in patients administered intravenous propofol. The objective of this study is to evaluate the GSH level associated with isoflurane in vitro phantom model using non-invasive magnetic resonance (MR) spectroscopy and to detect residual isoflurane in a solution. MRS data was generated utilizing a 3T MR scanner (Prisma, Siemens) equipped with a 64-channel 1H head coil and dual tune (19F/1H) head coil. The GSH data acquisition was performed using the MEGA-PRESS pulse sequence using experimental parameters: ON = 4.40 ppm, OFF = 5.00 ppm, TE = 120 ms, TR = 2500 ms, voxel size = 25 × 25 × 25 mm and average = 32. Isoflurane was detected using 19F MRS studies using 19F/1H head coil. GSH data was processed using KALPANA package and 19F data was processed using Siemens package. The GSH peak area (without isoflurane) in a phosphate-buffered solution (PBS) solution (control) showed a slow decline over time due to natural oxidation of GSH to dimeric glutathione (GSSG). On the contrary, the GSH peak area in similar model is reduced significantly (p = 0.016) due to isoflurane induced oxidation of GSH to GSSG compared to control. We also report a concise general method for data generation and processing of 1H MRS data for GSH as well as 19F monitoring platform using 19F MR spectroscopy. This is the first report wherein both 1H and 19F spectroscopy are applied to generate MRS data along with a unique data processing method. This method is highly sensitive and specifically detects GSH without ambiguity as well as isoflurane due to the unique chemical shift patterns of CF3 and CHF2 moieties. This non-invasive MRS approach is developed to monitor GSH-isoflurane interaction leading to oxidative stress and this approach can be extended for other inhaled anesthetics. This methodology using non-invasive 19F MR spectroscopy needs further development for future clinical studies.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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