Fei Du1, Sang-Young Kim1, Bruce M. Cohen1, Xi Chen1, Scott Lukas1, Ann Shinn1, Cagri Yuksel1, Tao Li2, and Dost Ongur1
1McLean Hospital, Harvard Medical School, Belmont, MA, United States, 2West China Hospital, Sichuan University, Chengdu, People's Republic of China
Synopsis
A
growing body of evidence suggests that an “immuno-oxidative” pathway including redox
dysregulation associated with oxidative stress, mitochondrial dysfunction,
neuroinflammation, and cell-mediated immune response may contribute to disruptions in brain activity in
schizophrenia (SZ). The aim of this study is to assess possible redox imbalance
in SZ patients by using a novel in vivo 31P-MRS
technique to measure NAD+ and NADH. Our results revealed a ~40% decrease of
NAD+/NADH ratio compared to healthy individuals of similar age, indicating
higher levels of oxidative stress in patients with schizophrenia.
This work may lead to new strategies to protect the
brain from oxidative stress and improve brain function in schizophrenia or the other brain disorders.
Purpose
Schizophrenia (SZ) is a common and severe
psychiatric disorder characterized by abnormal cognition and perception.
Despite its public health impact and a century of biological research, the
pathophysiology of SZ remains poorly understood. A growing body of evidence
suggests that an “immuno-oxidative” pathway including oxidative stress,
mitochondrial dysfunction, and neuroinflammation may contribute to disruptions
in brain circuits in schizophrenia (SZ) (1-3). Nicotinamide adenine
dinucleotide (NAD+) and its reduced form NADH have long been implicated in
energy metabolism, reductive biosynthesis, and antioxidant activity. While the
major biological function of NAD+ is to modulate cellular energy metabolism,
mounting evidence indicates that NAD+ is also involved in biological activities
such as cell death, calcium homeostasis, gene expression, aging, and
immunological functions (4). Despite the crucial roles of NAD+ and NADH in
cellular metabolism and physiology, its noninvasive in vivo detection is extremely
challenging. Here we demonstrate the feasibility of 31P MRS-based NAD
quantification at 4 T MRI scanner and apply this novel method in patients with
SZ.Method
We
investigate the brain’s redox state (i.e., NAD+/NADH ratio, RR) in SZ patients
with chronic, well-established illness as well as first-episode SZ patients who
have not been exposed to the confounding effects of chronic medication
treatment and chronic psychosis. We also present data from a first-episode
bipolar disorder (BD) cohort, as a psychiatric control group. The participants
included 40 healthy controls, 21 chronic SZ, 13 first-episode SZ, and 18
first-episode BD patients. All participants initially underwent structural
imaging at a 3 T and 31P MRS measurements were performed on a 4 T MR scanner.
NAD+ and NADH concentrations were determined by nonlinear least-square fitting
of the model simulated spectra incorporating prior chemical shift and coupling
constant information to in vivo resonances obtained from 31P-MRS experiments
(5). We validated 31P-MRS based NAD detection method at 4 T with phantom and
healthy human subjects as well as Monte-Carlo simulations.Result and Discussion
We demonstrated (5) excellent agreement between simulated and
experimentally measured 31P spectra (Figure 1), and Monte Carlo simulations
with different line width and a-ATP SNR values (Figure 2) suggest excellent
fitting accuracy for SNR (>40), which was used as a cut off for our in vivo
data processing. Figure 3 presents in vivo 31P spectra from media prefrontal
cortex of a healthy control participant, showing excellent spectral quality and
high SNR. Figure 4 shows in vivo RR data in chronic and first episode SZ
patients and matched healthy participants as well as age-dependence. NAD
measures and RR show strong age-dependence in healthy individuals,
demonstrating replication of RR decline in healthy participants (3) and an
extension of this finding to SZ patients. In addition, the youngest
participants (age<25) have lower RR than older ones, apparently reversing
the age-dependent trend. This finding requires further investigation in children
and adolescents. We found RR was significantly reduced by 35% in chronic SZ.
This finding was driven by a 47% NADH elevation in chronic SZ with no
significant change in NAD+. In addition, first-episode SZ patients had a highly
significant 46% reduction in RR compared with healthy controls as well as a
more modest 23% reduction compared with first-episode BD patients. To provide a
demonstration of NAD abnormalities independent of the fitting procedures and
without the other metabolite contributions (e.g. UDPG), Figure 5 shows summed
patient and control spectra and the difference between them, clearly
demonstrating an elevated NADH signal at -10.63 ppm in chronic SZ compared to
controls, without an apparent difference in NAD+ and UDPG. These findings
provide an evidence for redox imbalance in the brain in all phases of SZ,
potentially reflecting oxidative stress, and suggest that RR may become a
biomarker for treatment response and for screening of new therapeutic
approaches targeting oxidative stress in SZ.Conclusion
By applying this novel method to patients with SZ, we
found a significant reduction in the NAD+/NADH ratio (RR) in chronically ill SZ
patients compared to a matched healthy control group, and in first-episode SZ
patients compared to both a matched first-episode BD patient group and a
matched healthy control group. Intracellular RR is influenced by multiple
cellular signaling events and may constitute a metabolic integrator for local
metabolic status within cells. Therefore, our work provides new insights into
the pathophysiology of SZ, as well as a biomarker for tracking the impact of
treatment interventions.
This work will lead to new
strategies to protect the brain from oxidative stress and improve brain
function in schizophrenia.Acknowledgements
This
work was supported by grants from MH092704 (F.D.); NARSAD (F.D.); NARSAD
(D.O.); MH094594 (D.O.); MH104449 (D.O.); Program for Neuropsychiatric Research
(B.M.C.).References
1. Giles E. Hardingham, et al. Nature Rev. Neuroscience 2016
2. Du F, et al.
JAMA Psychiatry 2014
3. Lu M, et al.
Magn Reson Med 2014;
4. Zhu XH, et
al. Proc Natl Acad Sci USA 2015;
5. Kim S, et al. Schizophrenial Bull 2016 (in press)