Nicolas R. Bolo1,2, Olivia J. Lutz1, Gautami Shashidhar1, Li Yao1, Yungxiang Tang1, Brett A. Clementz3, Godfrey Pearlson4, Elliot Gershon5, John A. Sweeney6, Carol A. Tamminga6, and Matcheri S. Keshavan1,2
1Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States, 2Psychiatry, Harvard Medical School, Boston, MA, United States, 3Psychology, University of Georgia, Athens, GA, United States, 4Psychiatry, Yale University, Hartford, CT, United States, 5Psychiatry, University of Chicago, Chicago, IL, United States, 6Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States
Synopsis
Deficient
hippocampus glutamatergic function could underlie cognitive deficits and
positive-negative symptoms in schizophrenia (SZ) and bipolar disorder (BP). Using
1H MRS, we found that the glutamate concentration of left anterior
hippocampus was significantly lower in SZ (6.3 ± 1.8 mM) vs. healthy controls
(HC, 7.8 ± 1.2 mM, p=0.021) and BP (8.5 ± 1.3 mM, p=0.001) and trended higher in BP
vs. HC (p=0.179). Decreased glutamate is
consistent with deficient excitatory neurotransmission in the hippocampus of
patients with SZ, which could alter synaptic plasticity underlying memory and
cognition. Our findings are consistent with the glutamate hypothesis of SZ.
Introduction
Alterations of hippocampus excitatory glutamatergic
neurotransmission have been implicated in the pathophysiology of schizophrenia
(SZ)1,2 and bipolar disorder (BP)3. According to the
glutamate (Glu) hypothesis of SZ, deficient glutamatergic function could
underlie positive and negative symptoms as well as cognitive deficits. We
examined hippocampal concentrations of Glu and other metabolites in SZ, BP and age-matched healthy controls (HC).
We hypothesized that Glu would be decreased in SZ.Methods
We studied 9 patients with SZ (8 men, 37 ± 12 years), 16 patients with BP
(9 men, 34 ± 10 years; 12 with psychotic symptoms: BDP, 4 without: BD) and 37 HC
(17 men, 31 ± 10 years). We performed magnetic resonance spectroscopy
(MRS) of a single 3.4 ml voxel located in the anterior pole of the left
hippocampus (see Fig. 1) using a 3T scanner (GE Signa HDxt), an 8-channel 1H
RF head-coil, a PRESS sequence with TE/TR = 35/2000 ms, spectral width = 5000Hz,
4096 complex points and 128 averages. Non-suppressed water signal was acquired
with 2 averages for absolute quantitation of metabolites. A high-resolution
structural T1-weighted image was acquired for brain tissue segmentation. MRS data were analyzed using LCModel software4
(version 6.3-1L) with water scaling and correction for partial voxel fractions
of
grey
and white matter and cerebrospinal fluid to estimate absolute brain tissue concentrations
of Glu, N-acetylaspartate, myo-inositol, total creatine, cholines and Glx (Glu
+ glutamine). Using R software, we
performed between-group comparisons of these metabolite concentrations by ANOVA
with gender as a covariate and applied Benjamini-Hochberg multiple comparison
correction. Tukey post-hoc analysis was used for pair-wise group comparisons.Results
Hippocampal
Glu was significantly lower in SZ (6.3 ± 1.8 mM) compared to HC (7.8 ± 1.2 mM,
p = 0.021) and BP (8.5 ± 1.3 mM, p = 0.001); Glu tended to be higher in BP compared
to HC (p = 0.179) (see Fig. 2). No other
metabolite was significantly different between groups.Conclusions
Our finding of significantly decreased Glu is consistent with deficient
excitatory glutamatergic neurotransmission in the
left
anterior hippocampus of patients with
SZ. Glutamatergic decrease in this
patient group could be explained by a unitary pathophysiological model, in
which early course glutamatergic excess leads to excitoxicity followed by
glutamatergic failure during the chronic phase of illness5 (see Fig.
3). Glu was slightly higher in BP vs.
HC, suggesting distinct glutamatergic alterations in the two patient groups.
Hippocampal glutamatergic deficiency could alter synaptic plasticity underlying
memory and cognition. The Glu synapse provides several novel pharmacological
treatment targets. Future studies will examine the relationship of Glu to
cognitive performance
and
positive and negative symptom scores to determine the potential of these MRS measures as
biomarkers to evaluate the efficacy of pharmacological and cognitive behavioral
treatments.Acknowledgements
This work was supported by NIMH
grant R01 MH78113 (PI: MSK) References
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