Improved resolution of glutamate,glutamine and γ‐aminobutyric acid with optimized point‐resolved spectroscopy sequence timings for their simultaneous quantification at 9.4 T

Glutamine (Gln), glutamate (Glu) and γ‐aminobutyric acid (GABA) are relevant brain metabolites that can be measured with magnetic resonance spectroscopy (MRS). This work optimizes the point‐resolved spectroscopy (PRESS) sequence echo times, TE₁ and TE₂, for improved simultaneous quantification of the three metabolites at 9.4 T. Quantification was based on the proton resonances of Gln, Glu and GABA at ≈2.45, ≈2.35 and ≈2.28 ppm, respectively. Glu exhibits overlap with both Gln and GABA; in addition, the Gln peak is contaminated by signal from the strongly coupled protons of N‐acetylaspartate (NAA), which resonate at about 2.49 ppm. J‐coupling evolution of the protons was characterized numerically and verified experimentally. A {TE₁, TE₂} combination of {106 ms, 16 ms} minimized the NAA signal in the Gln spectral region, whilst retaining Gln, Glu and GABA peaks. The efficacy of the technique was verified on phantom solutions and on rat brain in vivo. LCModel was employed to analyze the in vivo spectra. The average T₂‐corrected Gln, Glu and GABA concentrations were found to be 3.39, 11.43 and 2.20 mM, respectively, assuming a total creatine concentration of 8.5 mM. LCModel Cramér–Rao lower bounds (CRLBs) for Gln, Glu and GABA were in the ranges 14–17%, 4–6% and 16–19%, respectively. The optimal TE resulted in concentrations for Gln and GABA that agreed more closely with literature concentrations compared with concentrations obtained from short‐TE spectra acquired with a {TE₁, TE₂} combination of {12 ms, 9 ms}. LCModel estimations were also evaluated with short‐TE PRESS and with the optimized long TE of {106 ms, 16 ms}, using phantom solutions of known metabolite concentrations. It was shown that concentrations estimated with LCModel can be inaccurate when combined with short‐TE PRESS, where there is peak overlap, even when low (<20%) CRLBs are reported.     

Quantification of GABA,glutamate and glutamine in a single measurement at 3 T using GABA‐edited MEGA‐PRESS

γ‐Aminobutyric acid (GABA) and glutamate (Glu), major neurotransmitters in the brain, are recycled through glutamine (Gln). All three metabolites can be measured by magnetic resonance spectroscopy in vivo, although GABA measurement at 3 T requires an extra editing acquisition, such as Mescher–Garwood point‐resolved spectroscopy (MEGA‐PRESS). In a GABA‐edited MEGA‐PRESS spectrum, Glu and Gln co‐edit with GABA, providing the possibility to measure all three in one acquisition. In this study, we investigated the reliability of the composite Glu + Gln (Glx) peak estimation and the possibility of Glu and Gln separation in GABA‐edited MEGA‐PRESS spectra. The data acquired in vivo were used to develop a quality assessment framework which identified MEGA‐PRESS spectra in which Glu and Gln could be estimated reliably. Phantoms containing Glu, Gln, GABA and N‐acetylaspartate (NAA) at different concentrations were scanned using GABA‐edited MEGA‐PRESS at 3 T. Fifty‐six sets of spectra in five brain regions were acquired from 36 healthy volunteers. Based on the Glu/Gln ratio, data were classified as either within or outside the physiological range. A peak‐by‐peak quality assessment was performed on all data to investigate whether quality metrics can discriminate between these two classes of spectra. The quality metrics were as follows: the GABA signal‐to‐noise ratio, the NAA linewidth and the Glx Cramer–Rao lower bound (CRLB). The Glu and Gln concentrations were estimated with precision across all phantoms with a linear relationship between the measured and true concentrations: R¹ = 0.95 for Glu and R¹ = 0.91 for Gln. A quality assessment framework was set based on the criteria necessary for a good GABA‐edited MEGA‐PRESS spectrum. Simultaneous criteria of NAA linewidth <8 Hz and Glx CRLB <16% were defined as optimum features for reliable Glu and Gln quantification. Glu and Gln can be reliably quantified from GABA‐edited MEGA‐PRESS acquisitions. However, this reliability should be controlled using the quality assessment methods suggested in this work.     

Measurement of regional variation of GABA in the human brain by optimized point‐resolved spectroscopy at 7 T in vivo

The ¹H resonances of γ‐aminobutyric acid (GABA) in the human brain in vivo are extensively overlapped with the neighboring abundant resonances of other metabolites and remain indiscernible in short‐TE MRS at 7 T. Here we report that the GABA resonance at 2.28 ppm can be fully resolved by means of echo time optimization of a point‐resolved spectroscopy (PRESS) scheme. Following numerical simulations and phantom validation, the subecho times of PRESS were optimized at (TE, TE₂) = (31, 61) ms for detection of GABA, glutamate (Glu), glutamine (Gln), and glutathione (GSH). The in vivo feasibility of the method was tested in several brain regions in nine healthy subjects. Spectra were acquired from the medial prefrontal, left frontal, medial occipital, and left occipital brain and analyzed with LCModel. Following the gray and white matter (GM and WM) segmentation of T₁‐weighted images, linear regression of metabolite estimates was performed against the fractional GM contents. The GABA concentration was estimated to be about seven times higher in GM than in WM. GABA was overall higher in frontal than in occipital brain. Glu was about twice as high in GM as in WM in both frontal and occipital brain. Gln was significantly different between frontal GM and WM while being similar between occipital GM and WM. GSH did not show significant dependence on tissue content. The signals from N‐acetylaspartylglutamate were clearly resolved, giving the concentration more than 10 times higher in WM than in GM. Our data indicate that the PRESS TE = 92 ms method provides an effective means for measuring GABA and several challenging J‐coupled spin metabolites in human brain at 7 T. Copyright © 2014 John Wiley & Sons, Ltd.     

Simultaneous detection of valine and lactate using MEGA‐PRESS editing in pyogenic brain abscess

Valine and lactate have been recognized as important metabolic markers to diagnose brain abscess by means of MRS. However, in vivo unambiguous detection and quantification is hampered by macromolecular contamination. In this work, MEGA‐PRESS difference editing of valine and lactate is proposed. The method is validated in vitro and applied for quantitative in vivo experiments in one healthy subject and two brain abscess patients. It is demonstrated that with this technique the overlapping lipid signal can be reduced by more than an order of magnitude and thus the robustness of valine and lactate detection in vivo can be enhanced. Quantification of the two abscess MEGA‐PRESS spectra yielded valine/lactate concentration ratios of 0.10 and 0.27. These ratios agreed with the concentration ratios determined from concomitantly acquired short‐T_E PRESS data and were in line with literature values. The quantification accuracy of lactate (as measured with Cramér‐Rao lower bounds in LCModel processing) was better for MEGA‐PRESS than for short‐T_E PRESS in all acquired in vivo datasets. The Cramér‐Rao lower bounds of valine were only better for MEGA‐PRESS in one of the two abscess cases, while in the other case coediting of isoleucine confounded the quantification in the MEGA‐PRESS analysis. MEGA‐PRESS and short‐T_E PRESS should be combined for unambiguous quantification of amino acids in abscess measurements. Simultaneous valine/lactate MEGA‐PRESS editing might benefit the distinction of brain abscesses from tumors, and further categorization of bacteria with reasonable sensitivity and specificity.     

Improvement of resolution for brain coupled metabolites by optimized (1)H MRS at 7T

Resolution enhancement for glutamate (Glu), glutamine (Gln) and glutathione (GSH) in the human brain by TE‐optimized point‐resolved spectroscopy (PRESS) at 7 T is reported. Sub‐TE dependences of the multiplets of Glu, Gln, GSH, γ‐aminobutyric acid (GABA) and N‐acetylaspartate (NAA) at 2.2–2.6 ppm were investigated with density matrix simulations, incorporating three‐dimensional volume localization. The numerical simulations indicated that the C4‐proton multiplets can be completely separated with (TE₁, TE₂) = (37, 63) ms, as a result of a narrowing of the multiplets and suppression of the NAA 2.5 ppm signal. Phantom experiments reproduced the signal yield and lineshape from simulations within experimental errors. In vivo tests of optimized PRESS were conducted on the prefrontal cortex of six healthy volunteers. In spectral fitting by LCModel, Cramér–Rao lower bounds (CRLBs) of Glu, Gln and GSH were 2 ± 1, 5 ± 1 and 6 ± 2 (mean ± SD), respectively. To evaluate the performance of the optimized PRESS method under identical experimental conditions, stimulated‐echo spectra were acquired with (TE, TM) = (14, 37) and (74, 68) ms. The CRLB of Glu was similar between PRESS and short‐TE stimulated‐echo acquisition mode (STEAM), but the CRLBs of Gln and GSH were lower in PRESS than in both STEAM acquisitions. Copyright © 2010 John Wiley & Sons, Ltd.     

The in vivo J‐difference editing MEGA‐PRESS technique for the detection of n‐3 fatty acids

In this study, we present a method for the detection of n‐3 fatty acid (n‐3 FA) signals using MRS in adipose tissue in vivo. This method (called oMEGA‐PRESS) is based on the selective detection of the CH₃ signal of n‐3 FA using the MEGA‐PRESS (MEshcher–GArwood Point‐RESolved Spectroscopy) J‐difference editing technique. We optimized the envelope shape and frequency of spectral editing pulses to minimize the spurious co‐editing and incomplete subtraction of the CH₃ signal of other FAs, which normally obscure the n‐3 FA CH₃ signal in MR spectra acquired using standard PRESS techniques. The post‐processing of the individual data scans with the phase and frequency correction before data subtraction and averaging was implemented to further improve the quality of in vivo spectra. The technique was optimized in vitro on lipid phantoms using various concentrations of n‐3 FA and examined in vivo at 3 T on 15 healthy volunteers. The proportion of n‐3 FA estimated by the oMEGA‐PRESS method in phantoms showed a highly significant linear correlation with the n‐3 FA content determined by gas chromatography. The signal attributed to n‐3 FA was observed in all subjects. Comparisons with the standard PRESS technique revealed an enhanced identification of the n‐3 FA signal using oMEGA‐PRESS. The presented method may be useful for the non‐invasive quantification of n‐3 FA in adipose tissue, and could aid in obtaining a better understanding of various aspects of n‐3 FA metabolism. Copyright © 2014 John Wiley & Sons, Ltd.     

PRESS timings for resolving 13C4‐glutamate 1H signal at 9.4 T: Demonstration in rat with uniformly labelled 13C‐glucose

MRS of ¹³C₄‐labelled glutamate (¹³C₄‐Glu) during an infusion of a carbon‐13 (¹³C)‐labelled substrate, such as uniformly labelled glucose ([U‐¹³C₆]‐Glc), provides a measure of Glc metabolism. The presented work provides a single‐shot indirect ¹³C detection technique to quantify the approximately 2.51 ppm ¹³C₄‐Glu satellite proton (¹H) peak at 9.4 T. The methodology is an optimized point‐resolved spectroscopy (PRESS) sequence that minimizes signal contamination from the strongly coupled protons of N‐acetylaspartate (NAA), which resonate at approximately 2.49 ppm. J‐coupling evolution of protons was characterized numerically and verified experimentally. A (TE₁, TE₂) combination of (20 ms, 106 ms) was found to be suitable for minimizing NAA signal in the 2.51 ppm ¹H ¹³C₄‐Glu spectral region, while retaining the ¹³C₄‐Glu ¹H satellite peak. The efficacy of the technique was verified on phantom solutions and on two rat brains in vivo during an infusion of [U‐¹³C₆]‐Glc. LCModel was employed for analysis of the in vivo spectra to quantify the 2.51 ppm ¹H ¹³C₄‐Glu signal to obtain Glu C4 fractional enrichment time courses during the infusions. Cramér‐Rao lower bounds of about 8% were obtained for the 2.51 ppm ¹³C₄‐Glu ¹H satellite peak with the optimal TE combination.     

β2-Adrenergic Receptor Gene Variations Associated with Stage-2 Hypertension in Northern Han Chinese

The aim of this study was to investigate the association between polymorphisms in the β₂‐adrenergic receptor gene (ADRB2) (−47C/T, Arg16/Gly, Gln27/Glu) and stage‐2 hypertension in northern Han Chinese. We recruited 503 individuals with stage‐2 hypertension and 504 age‐, gender‐, and area‐matched controls from the International Collaborative Study of Cardiovascular Disease in Asia. Genotyping was performed using PCR‐RFLP. Logistic regression analyses revealed that carriers of the Gly16 allele had a significantly higher odds ratio (OR) for hypertension, while carriers of the Glu27 allele had a significantly lower OR. In multivariate linear regression analyses, the Arg16/Gly and Gln27/Glu genotypes were significantly associated with systolic blood pressure level (p= 0.004 and p < 0.001, respectively). In haplotype analyses, we found the frequency of haplotypes composed of the Gly16 and Gln27 alleles was significantly higher, whereas the frequency of haplotypes composed of the Arg16 and Glu27 alleles was significantly lower, in hypertensives compared to their controls (both p= 0.001). These results indicate that the Gly16 and Gln27 alleles of the ADRB2 gene confer an increased risk for stage‐2 hypertension in this northern Han Chinese population.     

Quantification of 1H–MRS signals based on sparse metabolite profiles in the time‐frequency domain

MRS is an analytical approach used for both quantitative and qualitative analysis of human body metabolites. The accurate and robust quantification capability of proton MRS (¹H–MRS) enables the accurate estimation of living tissue metabolite concentrations. However, such methods can be efficiently employed for quantification of metabolite concentrations only if the overlapping nature of metabolites, existing static field inhomogeneity and low signal‐to‐noise ratio (SNR) are taken into consideration. Representation of ¹H–MRS signals in the time‐frequency domain enables us to handle the baseline and noise better. This is possible because the MRS signal of each metabolite is sparsely represented, with only a few peaks, in the frequency domain, but still along with specific time‐domain features such as distinct decay constant associated with T ₂ relaxation rate. The baseline, however, has a smooth behavior in the frequency domain. In this study, we proposed a quantification method using continuous wavelet transformation of ¹H–MRS signals in combination with sparse representation of features in the time‐frequency domain. Estimation of the sparse representations of MR spectra is performed according to the dictionaries constructed from metabolite profiles. Results on simulated and phantom data show that the proposed method is able to quantify the concentration of metabolites in ¹H–MRS signals with high accuracy and robustness. This is achieved for both low SNR (5 dB) and low signal‐to‐baseline ratio (?5 dB) regimes.     

Beta‐adrenergic receptor gene polymorphisms and cardiovascular reactivity to stress in Black adolescents and young adults

Cardiovascular reactivity to stress and β‐adrenergic receptor (β‐AR) function may contribute to the development of hypertension. As Black Americans have an increased risk of hypertension, we evaluated associations between β₁‐AR (Arg389Gly) and β₂‐AR (Arg16Gly, Gln27Glu) gene variants and cardiovascular reactivity in 500 Black youth. Heart rate, preejection period, total peripheral resistance, and blood pressure reactivity were measured during cold and psychological stress. The Arg389Gly polymorphism in the β₁‐AR was associated with preejection period reactivity in males but not in females. The Arg16Gly polymorphism in the β₂‐AR was associated with diastolic blood pressure reactivity only during video game stress. An association between the Gln27Glu polymorphism in the β₂‐AR and vascular reactivity depended on sex. Thus, specific patterns of associations emerged between genetic variations in β‐ARs and cardiovascular reactivity in young Blacks.     

Time‐efficient measurement of multi‐phase arterial spin labeling MR signal in white matter

White matter (WM) perfusion has great potential as a physiological biomarker in many neurological diseases. Although it has been demonstrated previously that arterial spin labeling magnetic resonance imaging (ASL‐MRI) enables the detection of the perfusion‐weighted signal in most voxels in WM, studies of cerebral blood flow (CBF) in WM by ASL‐MRI are relatively scarce because of its particular challenges, such as significantly lower perfusion and longer arterial transit times relative to gray matter (GM). Recently, ASL with a spectroscopic readout has been proposed to enhance the sensitivity for the measurement of WM perfusion. However, this approach suffers from long acquisition times, especially when acquiring multi‐phase ASL datasets to improve CBF quantification. Furthermore, the potential increase in the signal‐to‐noise ratio (SNR) by spectroscopic readout compared with echo planar imaging (EPI) readout has not been proven experimentally. In this study, we propose the use of time‐encoded pseudo‐continuous ASL (te‐pCASL) with single‐voxel point‐resolved spectroscopy (PRESS) readout to quantify WM cerebral perfusion in a more time‐efficient manner. Results are compared with te‐pCASL with a conventional EPI readout for both WM and GM perfusion measurements. Perfusion measurements by te‐pCASL PRESS and conventional EPI showed no significant difference for quantitative WM CBF values (Student's t‐test, p = 0.19) or temporal SNR (p = 0.33 and p = 0.81 for GM and WM, respectively), whereas GM CBF values (p = 0.016) were higher using PRESS than EPI readout. WM CBF values were found to be 18.2 ± 7.6 mL/100 g/min (PRESS) and 12.5 ± 5.5 mL/100 g/min (EPI), whereas GM CBF values were found to be 77.1 ± 11.2 mL/100 g/min (PRESS) and 53.6 ± 9.6 mL/100 g/min (EPI). This study demonstrates the feasibility of te‐pCASL PRESS for the quantification of WM perfusion changes in a highly time‐efficient manner, but it does not result in improved temporal SNR, as does traditional te‐pCASL EPI, which remains the preferred option because of its flexibility in use.     

J‐refocused 1H PRESS DEPT for localized 13C MR Spectroscopy

Proton point‐resolved spectroscopy (PRESS) localization has been combined with distortionless enhanced polarization transfer (DEPT) in multinuclear MRS to overcome the signal contamination problem in image‐selected in vivo spectroscopy (ISIS)‐combined DEPT, especially for lipid detection. However, homonuclear proton scalar couplings reduce the DEPT enhancement by modifying the spin coherence distribution under J modulation during proton PRESS localization. Herein, a J‐refocused proton PRESS‐localized DEPT sequence is presented to obtain simultaneously enhanced and localized signals from a large number of metabolites by in vivo ¹³C MRS. The suppression of J modulation during PRESS and the substantial recovery of signal enhancement by J‐refocused PRESS‐localized DEPT were demonstrated theoretically by product operator formalism, numerically by the spin density matrix simulations for different scalar coupling conditions, and experimentally with a glutamate phantom at various TEs, as well as a colza oil phantom. The application of the sequence for localized detection of saturated and unsaturated fatty acids in the calf bone marrow and skeletal muscle of healthy subjects yielded high signal enhancements simultaneously obtained for all components. Copyright © 2013 John Wiley & Sons, Ltd.     

Non‐water‐suppressed short‐echo‐time magnetic resonance spectroscopic imaging using a concentric ring k‐space trajectory

Water‐suppressed MRS acquisition techniques have been the standard MRS approach used in research and for clinical scanning to date. The acquisition of a non‐water‐suppressed MRS spectrum is used for artefact correction, reconstruction of phased‐array coil data and metabolite quantification. Here, a two‐scan metabolite‐cycling magnetic resonance spectroscopic imaging (MRSI) scheme that does not use water suppression is demonstrated and evaluated. Specifically, the feasibility of acquiring and quantifying short‐echo (T_E = 14 ms), two‐dimensional stimulated echo acquisition mode (STEAM) MRSI spectra in the motor cortex is demonstrated on a 3 T MRI system. The increase in measurement time from the metabolite‐cycling is counterbalanced by a time‐efficient concentric ring k‐space trajectory. To validate the technique, water‐suppressed MRSI acquisitions were also performed for comparison. The proposed non‐water‐suppressed metabolite‐cycling MRSI technique was tested for detection and correction of resonance frequency drifts due to subject motion and/or hardware instability, and the feasibility of high‐resolution metabolic mapping over a whole brain slice was assessed. Our results show that the metabolite spectra and estimated concentrations are in agreement between non‐water‐suppressed and water‐suppressed techniques. The achieved spectral quality, signal‐to‐noise ratio (SNR) > 20 and linewidth <7 Hz allowed reliable metabolic mapping of five major brain metabolites in the motor cortex with an in‐plane resolution of 10 × 10 mm² in 8 min and with a Cramér‐Rao lower bound of less than 20% using LCModel analysis. In addition, the high SNR of the water peak of the non‐water‐suppressed technique enabled voxel‐wise single‐scan frequency, phase and eddy current correction. These findings demonstrate that our non‐water‐suppressed metabolite‐cycling MRSI technique can perform robustly on 3 T MRI systems and within a clinically feasible acquisition time.     

Effect of J coupling on 1.3‐ppm lipid methylene signal acquired with localised proton MRS at 3 T

The purpose of this work was to investigate the effect of J‐coupling interactions on the quantification and T₂ determination of 1.3‐ppm lipid methylene protons at 3 T. The response of the 1.3‐ppm protons of hexanoic, heptanoic, octanoic, linoleic and oleic acid was measured as a function of point‐resolved spectroscopy (PRESS) and stimulated echo acquisition mode (STEAM) TE. In addition, a narrow‐bandwidth refocusing PRESS sequence designed to rewind J‐coupling evolution of the 1.3‐ppm protons was applied to the five fatty acids, to corn oil and to tibial bone marrow of six healthy volunteers. Peak areas were plotted as a function of TE, and data were fitted to monoexponentially decaying functions to determine M_o (the extrapolated area for TE = 0 ms) and T₂ values. In phantoms, rewinding J‐coupling evolution resulted in 198%, 64%, 44%, 20% and 15% higher T₂ values for heptanoic, octanoic, linoleic and oleic acid, and corn oil, respectively, compared with those obtained with standard PRESS. The narrow‐bandwidth PRESS sequence also resulted in significant changes in M_o, namely ?77%, ?22%, 28%, 23% and 28% for heptanoic, octanoic, linoleic and oleic acid, and corn oil, respectively. T₂ values obtained with STEAM were closer to the values measured with narrow‐bandwidth PRESS. On average, in tibial bone marrow (six volunteers) rewinding J‐coupling evolution resulted in 21% ± 3% and 9 % ± 1% higher M_o and T₂ values, respectively. This work demonstrates that the consequence of neglecting to consider scalar coupling effects on the quantification of 1.3‐ppm lipid methylene protons and their T₂ values is not negligible. The linoleic and oleic acid T₂ results indicate that T₂ measures of lipids with standard MRS techniques are dependent on lipid composition. Copyright © 2015 John Wiley & Sons, Ltd.     

Pitfalls and advantages of different strategies for the absolute quantification of N‐acetyl aspartate,creatine and choline in white and grey matter by 1H‐MRS

This study extensively investigates different strategies for the absolute quantitation of N‐acetyl aspartate, creatine and choline in white and grey matter by ¹H‐MRS at 1.5 T. The main focus of this study was to reliably estimate metabolite concentrations while reducing the scan time, which remains as one of the main problems in clinical MRS. Absolute quantitation was based on the water‐unsuppressed concentration as the internal standard. We compared strategies based on various experimental protocols and post‐processing strategies. Data were obtained from 30 control subjects using a PRESS sequence at several TE to estimate the transverse relaxation time, T₂, of the metabolites. Quantitation was performed with the algorithm QUEST using two different metabolite signal basis sets: a whole‐metabolite basis set (WhoM) and a basis set in which the singlet signals were split from the coupled signals (MSM). The basis sets were simulated in vivo for each TE used. Metabolites' T₂s were then determined by fitting the estimated signal amplitudes of the metabolites obtained at different TEs. Then the absolute concentrations (mM) of the metabolites were assessed for each subject using the estimated signal amplitudes and either the mean estimated relaxation times of all subjects (mean protocol, MP) or the T₂ estimated from the spectra derived from the same subject (individual protocol, IP). Results showed that MP represents a less time‐consuming alternative to IP in the quantitation of brain metabolites by ¹H‐MRS in both grey and white matter, with a comparable accuracy when performed by MSM. It was also shown that the acquisition time might be further reduced by using a variant of MP, although with reduced accuracy. In this variant, only one water‐suppressed and one water‐unsuppressed spectra were acquired, drastically reducing the duration of the entire MRS examination. However, statistical analysis highlights the reduced accuracy of MP when performed using WhoM, particularly at longer echo times. Copyright © 2009 John Wiley & Sons, Ltd.     

In vivo MRS and histochemistry of status epilepticus‐induced hippocampal pathology in a juvenile model of temporal lobe epilepsy

Childhood status epilepticus (SE) initiates an epileptogenic process that leads to spontaneous seizures and hippocampal pathology characterized by neuronal loss, gliosis and an imbalance between excitatory and inhibitory neurotransmission. It remains unclear whether these changes are a cause or consequence of chronic epilepsy. In this study, in vivo MRS was used in a post‐SE juvenile rat model of temporal lobe epilepsy (TLE) to establish the temporal evolution of hippocampal injury and neurotransmitter imbalance. SE was induced in P21 rats by injection of lithium and pilocarpine. Four and eight weeks after SE, in vivo ¹H and γ‐aminobutyric acid (GABA)‐edited MRS of the hippocampus was performed in combination with dedicated ex vivo immunohistochemistry for the interpretation and validation of MRS findings. MRS showed a 12% decrease (p < 0.0001) in N‐acetylaspartate and a 15% increase (p = 0.0226) in choline‐containing compound concentrations, indicating neuronal death and gliosis, respectively. These results were confirmed by FluoroJade and vimentin staining. Furthermore, severe and progressive decreases in GABA (?41%, p < 0.001) and glutamate (Glu) (?17%, p < 0.001) were found. The specific severity of GABAergic cell death was confirmed by parvalbumin immunoreactivity (?68%, p < 0.001). Unexpectedly, we found changes in glutamine (Gln), the metabolic precursor of both GABA and Glu. Gln increased at 4 weeks (+36%, p < 0.001), but returned to control levels at 8 weeks. This decrease was consistent with the simultaneous decrease in glutamine synthase immunoreactivity (?32%, p = 0.037). In vivo MRS showed gliosis and (predominantly GABAergic) neuronal loss. In addition, an increase in Gln was detected, accompanied by a decrease in glutamine synthase immunoreactivity. This may reflect glutamine synthase downregulation in order to normalize Gln levels. These changes occurred before spontaneous recurrent seizures were present but, by creating a pre‐epileptic state, may play a role in epileptogenesis. MRS can be applied in a clinical setting and may be used as a noninvasive tool to monitor the development of TLE. Copyright © 2012 John Wiley & Sons, Ltd.     

A Giant Capsule from the Self‐Assembly of a Penta‐Telechelic Hybrid Poly(acrylic acid) Based on Polyhedral Oligomeric Silsesquioxane

An amphiphilic penta‐telechelic polyhedral oligomeric silsesquioxane (POSS)‐containing inorganic/organic hybrid poly(acrylic acid), (Glu‐PAA‐POSS₅), is prepared by hydrolysis of penta‐telechelic poly(tert‐butyl acrylate) (Glu‐PtBA‐POSS₅), synthesized by the combination of atom transfer radical polymerization (ATRP) and a “click” reaction. The self‐assembly behavior of Glu‐PAA‐POSS₅ in aqueous solution at pH 8.5 is investigated by using transmission electron microscopy (TEM), scanning electronic microscopy (SEM), atomic force microscopy (AFM), and dynamic light scattering (DLS). The results show that Glu‐PAA‐POSS₅, with a long poly(acrylic acid) (PAA) chain, can self‐assemble in water into giant capsules, which provides an optional approach in the construction of capsules.

     

Mechanism of glutamine inhibition of cytosolic phospholipase a2 (cPLA2): Evidence of physical interaction between glutamine‐Induced mitogen‐activated protein kinase phosphatase‐1 and cPLA2

Non‐essential amino acid L‐glutamine (Gln) possesses anti‐inflammatory activity via deactivating cytosolic phospholipase A₂ (cPLA₂). We showed previously that Gln deactivated cPLA₂ indirectly via dephosphorylating p38 mitogen‐activated protein kinase (MAPK), the major kinase for cPLA₂ phosphorylation, through inducing MAPK phosphatase‐1 (MKP‐1). In this study, we investigated the precise mechanism underlying Gln deactivation of cPLA₂. In lipopolysaccharide (LPS)‐treated mice, Gln injection resulted in dephosphorylation of phosphorylated cPLA₂ (p‐cPLA₂), which coincided with rapid Gln induction of MKP‐1. MKP‐1 small interfering RNA (siRNA) abrogated the ability of Gln to induce MKP‐1 as well as the dephosphorylation of cPLA₂. Co‐immunoprecipitation and in‐situ proximity ligation assay revealed a physical interaction between MKP‐1 and p‐cPLA₂. In a murine model of allergic asthma, we also demonstrated the physical interaction between MKP‐1 and p‐cPLA₂. Furthermore, Gln suppressed various allergic asthma phenotypes, such as neutrophil and eosinophil recruitments into the airway, airway levels of T helper type 2 (Th2) cytokines [interleukin (IL)‐4, IL‐5 and IL‐13], airway hyperresponsiveness, mucin production and metabolites (leukotriene B₄ and platelet‐activating factor) through inhibiting cPLA₂ in a MKP‐1‐dependent manner. These data suggest that MKP‐1 uses cPLA₂, in addition to p38, as a substrate, which further potentiates the anti‐inflammatory action of Gln.     

In vivo detection and automatic analysis of GABA in the mouse brain with MEGA‐PRESS at 9.4 T

The goals of this study were to develop an acquisition protocol and the analysis tools for Meshcher–Garwood point‐resolved spectroscopy (MEGA‐PRESS) in mouse brain at 9.4 T, to allow the in vivo detection of γ‐aminobutyric acid (GABA) and to examine whether isoflurane alters GABA levels in the thalamus during anesthesia. We implemented the MEGA‐PRESS sequence on a Bruker 94/20 system with ParaVision 6.0.1, and magnetic resonance spectra were acquired from nine male wild‐type C57BL/6 J mice at the thalamus. Four individual scans were obtained for each mouse in a 2‐h time course whilst the mouse was anesthetized with isoflurane. We developed an automated analysis program with improved correction for frequency and phase drift compared with the standard creatine (Cr) fitting‐based method and provided automatic quantification. During MEGA‐PRESS acquisition, a single voxel with a size of 5 × 3 × 3 mm³ was placed at the thalamus to evaluate GABA to Cr (GABA/Cr) ratios during anesthesia. Detection and quantitative analysis of thalamic GABA levels were successfully achieved. We noticed a significant decrease in GABA/Cr during the 2‐h anesthesia (by linear regression analysis: slope < 0, p < 0.0001). In summary, our findings demonstrate that MEGA‐PRESS is a feasible technique to measure in vivo GABA levels in the mouse brain at 9.4 T.     

In silico GABA+ MEGA‐PRESS: Effects of signal‐to‐noise ratio and linewidth on modeling the 3 ppm GABA+ resonance

To investigate the GABA+ modeling accuracy of MEGA‐PRESS GABA+‐edited MRS data with various spectral quality scenarios, the influence of varying signal‐to‐noise ratio (SNR) and linewidth on the model estimates was quantified. MEGA‐PRESS data from 46 volunteers were averaged to generate a template MEGA‐PRESS spectrum, which was modeled and quantified to generate a GABA+ level ground truth. This spectrum was then manipulated by adding 427 combinations of varying artificial noise levels and line broadening, mimicking variations in GABA+ SNR and B₀ homogeneity. GABA+ modeling and quantification was performed with 100 simulated spectra per condition using automated routines in both Gannet 3.0 and Tarquin. The GABA+ estimation error was calculated as the relative deviation to the quantified GABA+ ground truth levels to assess the accuracy of GABA+ modeling. Finally, the accordance between the simulations and different in vivo scenarios was assessed. The GABA+ estimation error was smaller than 5% for all GABA+ SNR values with creatine linewidths lower than 9.7 Hz in Gannet 3.0 or unequal 10.6 Hz in Tarquin. The standard deviation of the GABA+ amplitude over 100 spectra per condition varied between 3.1 and 17% (Gannet 3.0) and between 1 and 11% (Tarquin) over the in vivo relevant GABA+ SNR range between 2.6 and 3.5. GABA+ edited studies might be realized for voxels with low GABA+ SNR at the cost of higher group‐level variance. The accuracy of GABA+ modeling had no relation to commonly used quality metrics. The Tarquin algorithm was found to be more robust against linewidth changes than the fitting algorithm in Gannet.