Neurometabolic timecourse of healthy aging

Gong, Tao; Hui, Steve C.N.; Zöllner, Helge J.; Britton, Mark K; Song, Yulu; Chen, Yufan; Gudmundson, Aaron T; Hupfeld, Kathleen E.; Davies-Jenkins, Christopher W.; Murali‐Manohar, Saipavitra; Porges, Eric C.; Oeltzschner, Georg; Chen, Weibo; Wang, Guangbin; Edden, Richard A.E.

doi:10.1016/j.neuroimage.2022.119740

Cited by 20 publications

(15 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…45,55,56 However, there is a lack of data for sLASER in the literature with which to compare. Negative metabolite-age correlations have been reported for tNAA in the literature 24,27,57 ; however, our results indicate no significant correlation with aging for tNAA for both PRESS and sLASER, possibly due to regional differences compared with the literature. Overall, PRESS and sLASER produced very similar results in metabolite-age concentration relationships: For most metabolites, they agreed either in observing a metabolite-age correlation or not observing any.…”

Section: Glxcontrasting

confidence: 92%

“…Although excellent localization is desirable, localization is not the single factor limiting single-voxel MRS, and it is important not only to demonstrate that sLASER is theoretically preferable, but also that the newer methodology has greater power to interrogate in vivo biochemistry. There is an extensive literature documenting age-related changes in metabolite levels measured with MRS, [24][25][26][27] making age an appropriate external validation variable to compare the performance of PRESS and sLASER. The aim of this study is to compare in vivo brain metabolite concentration measurements and spectral quality between the two sequences, using the same shimming approach in relatively homogeneous brain regions with good B 0 /B 1 shimming.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T

Hui,

Zöllner,

Gong

et al. 2023

Magnetic Resonance in Med

Self Cite

View full text Add to dashboard Cite

PurposeTo compare the respective ability of PRESS and sLASER to reveal biological relationships, using age as a validation covariate at 3 T.MethodsMRS data were acquired from 102 healthy volunteers using PRESS and sLASER in centrum semiovale and posterior cingulate cortex (PCC). Acquisition parameters included TR/TE = 2000/30 ms, 96 transients, and 2048 datapoints sampled at 2 kHz.Spectra were analyzed using Osprey. SNR, FWHM linewidth of total creatine, and metabolite concentrations were extracted. A linear model was used to compare SNR and linewidth. Paired t‐tests were used to assess differences in metabolite measurements between PRESS and sLASER. Correlations were used to evaluate the relationship between PRESS and sLASER metabolite estimates, as well as the strength of each metabolite‐age relationship. Coefficients of variation were calculated to assess inter‐subject variability in each metabolite measurement.ResultsSNR and linewidth were significantly higher (p < 0.01) for sLASER than PRESS in PCC. Paired t‐tests showed significant differences between PRESS and sLASER in most metabolite measurements. PRESS‐sLASER measurements were significantly correlated (p < 0.05) for most metabolites. Metabolite‐age relationships were consistently identified using both methods. Similar coefficients of variation were observed for most metabolites.ConclusionThe study results suggest strong agreement between PRESS and sLASER in identifying relationships between brain metabolites and age in centrum semiovale and PCC data acquired at 3 T. sLASER is technically desirable due to the reduced chemical shift displacement artifact; however, PRESS performed similarly in homogeneous brain regions at clinical field strength.

show abstract

Section: Glxcontrasting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T

Hui,

Zöllner,

Gong

et al. 2023

Magnetic Resonance in Med

Self Cite

View full text Add to dashboard Cite

show abstract

“…Consistent with our findings, post‐mortem measurements in a cohort of 20 individuals (10 ASD and 10 TDC, aged 5–38 years old) also did not show significant differences in GSH levels in the frontal, parietal, or occipital cortices (Chauhan et al, 2012), a useful validation of challenging in vivo MRS measures. GSH has limited permeability through the blood–brain barrier (Haddad et al, 2021), a systemic isolation which might contribute to the stability of cerebral GSH levels with pathology (Haddad et al, 2021) and aging (Gong et al, 2022; Saleh, Papantoni, et al, 2020; Tong et al, 2016). Therefore, each type of brain cell (neurons, astrocytes, oligodendrocytes (Rae & Williams, 2017)) relies on their own local synthesis of GSH from cysteine (Cys), glycine, and Glu.…”

Section: Discussionmentioning

confidence: 99%

“…All metabolite levels that were statistically analyzed were corrected for tissue composition. That is, for each participant, GSH levels were estimated after correcting for partial volume effects in each voxel using the method proposed in Gasparovic et al (2018), and GABA levels were alpha‐corrected (Harris et al, 2015), since metabolite levels are reported to differ between brain gray and white matter (Gong et al, 2022). All reported GABA values in this study refer to GABA+, including the modeled co‐edited macromolecules (Mullins et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Brain glutathione and GABA+ levels in autistic children

Song,

Hupfeld,

Davies‐Jenkins

et al. 2024

Autism Research

Self Cite

View full text Add to dashboard Cite

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication challenges and repetitive behaviors. Altered neurometabolite levels, including glutathione (GSH) and gamma‐aminobutyric acid (GABA), have been proposed as potential contributors to the biology underlying ASD. This study investigated whether cerebral GSH or GABA levels differ between a cohort of children aged 8–12 years with ASD (n = 52) and typically developing children (TDC, n = 49). A comprehensive analysis of GSH and GABA levels in multiple brain regions, including the primary motor cortex (SM1), thalamus (Thal), medial prefrontal cortex (mPFC), and supplementary motor area (SMA), was conducted using single‐voxel HERMES MR spectroscopy at 3T. The results revealed no significant differences in cerebral GSH or GABA levels between the ASD and TDC groups across all examined regions. These findings suggest that the concentrations of GSH (an important antioxidant and neuromodulator) and GABA (a major inhibitory neurotransmitter) do not exhibit marked alterations in children with ASD compared to TDC. A statistically significant positive correlation was observed between GABA levels in the SM1 and Thal regions with ADHD inattention scores. No significant correlation was found between metabolite levels and hyper/impulsive scores of ADHD, measures of core ASD symptoms (ADOS‐2, SRS‐P) or adaptive behavior (ABAS‐2). While both GSH and GABA have been implicated in various neurological disorders, the current study provides valuable insights into the specific context of ASD and highlights the need for further research to explore other neurochemical alterations that may contribute to the pathophysiology of this complex disorder.

show abstract

“…All metabolite levels that were statistically analyzed were corrected for tissue composition. That is, for each participant, GSH levels were estimated after correcting for partial volume effects in each voxel using the method proposed in Gasparovic et al(Gasparovic et al, 2018), and GABA levels were alpha-corrected(Harris et al, 2015), since metabolite levels are reported to differ between brain gray and white matter(Gong et al, 2022). All reported GABA values in this study refer to GABA+, including the modeled co-edited macromolecules(Mullins et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Brain Glutathione and GABA+ levels in autistic children

Song,

Hupfeld,

Davies-Jenkins

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication challenges and repetitive behaviors. Altered neurometabolite levels, including glutathione (GSH) and gamma-aminobutyric acid (GABA), have been proposed as potential contributors to the biology underlying ASD. This study investigated whether cerebral GSH or GABA levels differ between a large cohort of children aged 8-12 years with ASD (n=52) and typically developing children (TDC, n=49). A comprehensive analysis of GSH and GABA levels in multiple brain regions, including the primary motor cortex (SM1), thalamus (Thal), medial prefrontal cortex (mPFC), and supplementary motor area (SMA), was conducted using single-voxel HERMES MR spectroscopy at 3T. The results revealed no significant differences in cerebral GSH or GABA levels between the ASD and TDC groups across all examined regions. These findings suggest that the concentrations of GSH (an important antioxidant and neuromodulator) and GABA (a major inhibitory neurotransmitter) do not exhibit marked alterations in children with ASD compared to TDC. A statistically significant positive correlation was observed between GABA levels in the SM1 and Thal regions with ADHD inattention scores. No significant correlation was found between metabolite levels and hyper/impulsive scores of ADHD, measures of core ASD symptoms (ADOS-2, SRS-P) or adaptive behavior (ABAS-2). While both GSH and GABA have been implicated in various neurological disorders, the current study provides valuable insights into the specific context of ASD and highlights the need for further research to explore other neurochemical alterations that may contribute to the pathophysiology of this complex disorder.Lay summaryAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication challenges and repetitive behaviors. Altered glutathione (GSH, an important antioxidant and neuromodulator) and gamma-aminobutyric acid (GABA, a major inhibitory neurotransmitter) levels have been proposed as potential contributors to the biology underlying ASD. Here, we used advanced edited Magnetic Resonance Spectroscopy (MRS) to measure levels of these low-concentration metabolites in four brain regions of a pediatric cohort. Contrary to our hypothesis, no significant difference was found between ASD and control subjects in either GSH or GABA levels in any brain region.

show abstract

Neurometabolic timecourse of healthy aging

Cited by 20 publications

References 49 publications

sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T

sLASER and PRESS perform similarly at revealing metabolite‐age correlations at 3 T

Brain glutathione and GABA+ levels in autistic children

Brain Glutathione and GABA+ levels in autistic children

Contact Info

Product

Resources

About