scholarly journals Quantification Improvements of 1H MRS Signals

Author(s):  
Maria I. ◽  
Anca R. Croitor Sava ◽  
Diana M. ◽  
Flemming U. ◽  
Uwe Himmelreich ◽  
...  
Keyword(s):  
2020 ◽  
Vol 3 (Supplement_1) ◽  
pp. i17-i17
Author(s):  
Puneet Bagga ◽  
Laurie Rich ◽  
Mohammad Haris ◽  
Neil Wilson ◽  
Mitch Schnall ◽  
...  

Abstract Most cancers, including glioblastomas (GBMs), rely extensively on glycolysis to support growth, proliferation, and survival. A hallmark of this elevated glycolysis is overexpression of Lactate dehydrogenase-A (LDHA) protein leading to increased uptake of glucose and overproduction of lactate. Various clinical trials using LDHA as a target for diagnosis and treatment have yielded encouraging results. However, in vivo monitoring of LDHA expression has been challenging due to either requirement of administration of radioactive substrates or specialized hardware. In this presentation, we will demonstrate a new method-quantitative exchanged-label turnover MRS (QELT, or simply qMRS)-that increases the sensitivity of magnetic resonance-based metabolic mapping without the requirement for specialized hardware. qMRS relies on the administration of deuterated (2H-labeled) substrates to track the production of downstream metabolites. Since 2H is invisible on 1H MRS, replacement of 1H with 2H due to metabolic turnover leads to an overall reduction in 1H MRS signal for the corresponding metabolites. We applied our qMRS technique to monitor the rate of lactate production in a preclinical GBM model. Infusion of [6,6’-2H2]glucose led to downstream deuterium labeling of lactate, thereby resulting in a reduction in the 1.33 ppm lactate-CH3 peak on 1H MRS over time. The subtraction of post-administration 1H MR spectra from the pre-infusion spectra aided in the determination of the kinetics of the lactate turnover. We believe that the detection and quantification of lactate production kinetics may provide crucial information regarding tumor LDHA expression non-invasively in GBMs without requiring biopsies. Hence, qMRS is expected to open up new opportunities to probe LDHA expression differences in a variety of gliomas, including GBMs and astrocytomas. This method takes advantage of the universal availability and ease of implementation of 1H MRS on all clinical and preclinical magnetic resonance scanners.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Robert A. McCutcheon ◽  
Toby Pillinger ◽  
Maria Rogdaki ◽  
Juan Bustillo ◽  
Oliver D. Howes

AbstractAlterations in cortical inter-areal functional connectivity, and aberrant glutamatergic signalling are implicated in the pathophysiology of schizophrenia but the relationship between the two is unclear. We used multimodal imaging to identify areas of convergence between the two systems. Two separate cohorts were examined, comprising 195 participants in total. All participants received resting state functional MRI to characterise functional brain networks and proton magnetic resonance spectroscopy (1H-MRS) to measure glutamate concentrations in the frontal cortex. Study A investigated the relationship between frontal cortex glutamate concentrations and network connectivity in individuals with schizophrenia and healthy controls. Study B also used 1H-MRS, and scanned individuals with schizophrenia and healthy controls before and after a challenge with the glutamatergic modulator riluzole, to investigate the relationship between changes in glutamate concentrations and changes in network connectivity. In both studies the network based statistic was used to probe associations between glutamate and connectivity, and glutamate associated networks were then characterised in terms of their overlap with canonical functional networks. Study A involved 76 individuals with schizophrenia and 82 controls, and identified a functional network negatively associated with glutamate concentrations that was concentrated within the salience network (p < 0.05) and did not differ significantly between patients and controls (p > 0.85). Study B involved 19 individuals with schizophrenia and 17 controls and found that increases in glutamate concentrations induced by riluzole were linked to increases in connectivity localised to the salience network (p < 0.05), and the relationship did not differ between patients and controls (p > 0.4). Frontal cortex glutamate concentrations are associated with inter-areal functional connectivity of a network that localises to the salience network. Changes in network connectivity in response to glutamate modulation show an opposite effect compared to the relationship observed at baseline, which may complicate pharmacological attempts to simultaneously correct glutamatergic and connectivity aberrations.


2019 ◽  
Vol 43 (4) ◽  
pp. 559-562
Author(s):  
Ailan Cheng ◽  
Rong Yao ◽  
Wenjun Cao ◽  
Hong Yu

2012 ◽  
Vol 16 (2) ◽  
pp. 471-475 ◽  
Author(s):  
Camilo de la Fuente-Sandoval ◽  
Pablo León-Ortiz ◽  
Mariana Azcárraga ◽  
Rafael Favila ◽  
Sylvana Stephano ◽  
...  

Abstract Increased glutamate levels in the associative-striatum have been described in subjects at ultra-high risk for psychosis (UHR); nevertheless, it is unclear whether this abnormality predicts the conversion to psychosis. Nineteen subjects at UHR and 26 controls were studied using proton magnetic resonance spectroscopy. Subjects at UHR were clinically followed for 2 yr. Seven UHR subjects (37%) transitioned to a psychotic disorder and the remaining 12 did not exhibit psychotic symptoms at the most recent follow-up. The psychosis transition group had higher glutamate levels compared to both non-transition and control groups (p = 0.02 and p < 0.01, respectively; effect size 1.39). These pilot findings suggest that the conversion to psychosis is associated with increased glutamate levels in the associative-striatum.


1995 ◽  
Vol 15 (1-2) ◽  
pp. 79 ◽  
Author(s):  
G. Calabrese ◽  
C. Colombo ◽  
A. Bonfanti ◽  
A. Falini ◽  
S. Lipari ◽  
...  

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