Dataset Information

Dynamic Imaging of Glucose and Lactate Metabolism by 13C-MRS without Hyperpolarization.

ABSTRACT: Metabolic reprogramming is one of the defining features of cancer and abnormal metabolism is associated with many other pathologies. Molecular imaging techniques capable of detecting such changes have become essential for cancer diagnosis, treatment planning, and surveillance. In particular, 18F-FDG (fluorodeoxyglucose) PET has emerged as an essential imaging modality for cancer because of its unique ability to detect a disturbed molecular pathway through measurements of glucose uptake. However, FDG-PET has limitations that restrict its usefulness in certain situations and the information gained is limited to glucose uptake only.13C magnetic resonance spectroscopy theoretically has certain advantages over FDG-PET, but its inherent low sensitivity has restricted its use mostly to single voxel measurements unless dissolution dynamic nuclear polarization (dDNP) is used to increase the signal, which brings additional complications for clinical use. We show here a new method of imaging glucose metabolism in vivo by MRI chemical shift imaging (CSI) experiments that relies on a simple, but robust and efficient, post-processing procedure by the higher dimensional analog of singular value decomposition, tensor decomposition. Using this procedure, we achieve an order of magnitude increase in signal to noise in both dDNP and non-hyperpolarized non-localized experiments without sacrificing accuracy. In CSI experiments an approximately 30-fold increase was observed, enough that the glucose to lactate conversion indicative of the Warburg effect can be imaged without hyper-polarization with a time resolution of 12s and an overall spatial resolution that compares favorably to 18F-FDG PET.

SUBMITTER: Brender JR

PROVIDER: S-EPMC6399318 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

Dynamic Imaging of Glucose and Lactate Metabolism by <sup>13</sup>C-MRS without Hyperpolarization.

Brender Jeffrey R JR Kishimoto Shun S Merkle Hellmut H Reed Galen G Hurd Ralph E RE Chen Albert P AP Ardenkjaer-Larsen Jan Henrik JH Munasinghe Jeeva J Saito Keita K Seki Tomohiro T Oshima Nobu N Yamamoto Kazutoshi K Choyke Peter L PL Mitchell James J Krishna Murali C MC

Scientific reports 20190304 1

Metabolic reprogramming is one of the defining features of cancer and abnormal metabolism is associated with many other pathologies. Molecular imaging techniques capable of detecting such changes have become essential for cancer diagnosis, treatment planning, and surveillance. In particular, <sup>18</sup>F-FDG (fluorodeoxyglucose) PET has emerged as an essential imaging modality for cancer because of its unique ability to detect a disturbed molecular pathway through measurements of glucose uptak ...[more]

PMID: 30833588

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Project description:Background:Previous literatures have implied that the liver fat deposition plays a crucial role in the development and progression of insulin resistance. In the present study, we aimed to investigate the association of liver fat content (LFC) with glucose metabolism status in the population of newly diagnosed type 2 diabetes mellitus (nT2DM), prediabetes mellitus (PDM) and normal controls (NC), and assessing if the LFC could as an indicator for the prediction of T2DM. Methods:A total of 242 subjects (including 141 nT2DM patients, 48 PDM subjects and 53 NC) were enrolled. The levels of LFC were quantified by using the proton magnetic resonance spectroscopy ([1H]-MRS) technique. Clinical and laboratory parameters of study subjects were collected by medical records and biochemical detection. One-way ANOVA or nonparametric test (Kruskal-Wallis) was applied for intergroup comparisons; intergroup comparison was performed in using of Bonferroni multiple-significance-test correction. Results:There were significantly increased LFC levels in nT2DM (14.72%?±?6.37%) than in PDM (9.62%?±?4.41%) and that of NC groups (5.11%?±?3.66%) (all p?<?0.001). The prevalence of nonalcoholic fatty liver disease (NAFLD) was also found to be increased in nT2DM (91.48%) than in PDM (85.41%) and that of NC (32.07%) groups. Correlation analysis revealed that the increase of LFC positively associated with fast plasma glucose (FPG), 2 h plasma glucose (PG), Delta G30 and homeostatic model assessment of insulin resistance (HOMA-IR), negatively associated with Delta Ins30, Delta C30, Ins30/G30 AUC, CP30/G30 AUC, Ins AUC/G AUC, CP AUC/G AUC, homeostatic model assessment for ?-cell function index (HOMA-?) and matsuda insulin sensitivity index (Matsuda ISI). Multilinear regression analysis showed that LFC, body mass index (BMI) and diastolic blood pressure (DBP) contributed for the prediction of HOMA-IR, and total cholesterol (TC), age, waist circumference (WC) and low-density lipoprotein cholesterol (LDL-C) were the significant contributors for HOMA-?. Conclusions:Our study revealed an increased LFC level and prevalence of NAFLD in nT2DM than in PDM and that of NC groups, the increase of LFC was closely associated with insulin resistance and impaired glucose metabolism status, may be regarded as potential indicator contributing to the development and progression of T2DM.

Dataset Information

Dynamic Imaging of Glucose and Lactate Metabolism by 13C-MRS without Hyperpolarization.

Publications

Dynamic Imaging of Glucose and Lactate Metabolism by <sup>13</sup>C-MRS without Hyperpolarization.

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