Abstract
Images of brain metabolism and measurements of activities of components of the electron transport chain support earlier studies that suggest that brain glucose oxidation is inherently abnormal in a significant proportion of persons with schizophrenia. Therefore, we measured activities of enzymes of the tricarboxylic (TCA) cycle in dorsolateral-prefrontal-cortex from schizophrenia patients (N=13) and non-psychiatric disease controls (N=13): the pyruvate dehydrogenase complex (PDHC), citrate synthase (CS), aconitase, isocitrate dehydrogenase (ICDH), the alpha-ketoglutarate dehydrogenase complex (KGDHC), succinate thiokinase (STH), succinate dehydrogenase (SDH), fumarase and malate dehydrogenase (MDH). Activities of aconitase (18.4%, p<0.05), KGDHC (26%) and STH (28.2%, p<0.05), enzymes in the first half of the TCA cycle, were lower, but SDH (18.3%, p<0.05) and MDH (34%, p<0.005), enzymes in the second half, were higher than controls. PDHC, CS, ICDH and fumarase activities were unchanged. There were no significant correlations between enzymes of TCA cycle and cognitive function, age or choline acetyl transferase activity, except for aconitase activity which decreased slightly with age (r=0.55, p=003). The increased activities of dehydrogenases in the second half of the TCA cycle may reflect a compensatory response to reduced activities of enzymes in the first half. Such alterations in the components of TCA cycle are adequate to alter the rate of brain metabolism. These results are consistent with the imaging studies of hypometabolism in schizophrenia. They suggest that deficiencies in mitochondrial enzymes can be associated with mental disease that takes the form of schizophrenia.
Keywords: Mitochondria, Tricarboxylic acid cycle, Energy metabolism, Postmortem interval, Schizophrenia
Introduction
Mitochondrial dysfunction and oxidative stress may underlie the pathophysiology of schizophrenia (Andreazza et al., 2010; Regenold et al., 2009; Prabakaran et al., 2004). Decreased frontal cortical glucose metabolism or blood flow is seen in schizophrenia patients while performing tasks that normally increase frontal metabolism, such as the Continuous Performance Test (Jacobsen et al., 1997) and the Wisconsin Card Sorting Test (Berman et al., 1992). Higher rates of impaired fasting glucose tolerance and insulin resistance have been seen in the schizophrenic patients (Kirkpatrick et al., 2009; Ryan et al., 2003). The prevalence of non-insulin-dependent diabetes mellitus (NIDDM) is significantly increased in schizophrenia patients. Treatment with glucose improves attention and memory in schizophrenia patients undergoing mental testing (Fucetola et al., 1999).
Brain from schizophrenia patients is under oxidative stress (Reddy and Yao, 1996), which typically accompanies mitochondrial dysfunction. Dihydrolipoyl dehydrogenase (DLD), the source of free radicals in KGDHC and PDHC has been found to be up-regulated in schizophrenia (Martins-de-Souza et al., 2009). Oxidative stress can lead to neurotransmitter abnormalities, DNA damage, protein inactivation, altered gene expression and apoptotic events. The close connection of oxidative mechanisms to neuronal plasticity may be relevant to disease pathogenesis (Ben-Shachar, 2002).
Gene expression and proteomics analysis in different brain regions of schizophrenia patients also suggest altered mitochondrial function (Andreazza et al., 2010; Clark et al., 2006; Hakak et al., 2001; Mirnics et al., 2000). Parallel transcriptomic, proteomic and metabolomic approaches were used to identify differences between controls and persons with schizophrenia. Almost half the altered proteins identified by proteomics were associated with mitochondrial function and oxidative stress responses. This was mirrored by transcriptional and metabolite perturbations (Prabakaran et al., 2004). A 20 % reduction in mitochondrial profiles in striatum from schizophrenia patients suggests a diminished capacity to respond to energy demand (Kung and Roberts, 1999). In addition, several components of the electron transport chain have been reported to be reduced in the brains of patients with schizophrenia (Rezin et al., 2009; Maurer et al., 2001).
Alterations in the TCA cycle would profoundly alter the rate of brain metabolism and the production of free radicals. Pyruvate, the product of glycolysis, is decarboxylated to acetyl CoA by the pyruvate dehydrogenase complex (PDHC). The conversion of acetyl CoA to CO2 in the TCA cycle results in a large production of reducing equivalents (e.g. NADH) for the electron transport chain and subsequent production of ATP (Figure 1). The TCA cycle (Figure 1) is a supramolecular assembly (Lyubarev and Kurganov, 1989; Velot et al., 1997) of eight enzymes: citrate synthase (CS), aconitase, isocitric dehydrogenase (ICDH), the alpha-ketoglutarate dehydrogenase complex (KGDHC), succinate thiokinase (STK), succinate dehydrogenase (SDH), fumarase and malate dehydrogenase (MDH) (Lyubarev and Kurganov, 1989; Velot et al., 1997). Inactivation of any step can disrupt mitochondrial bioenergetics (Blass and Brown, 2000). Thus, we examined the activities of all mitochondrial enzymes of the TCA cycle in postmortem brain specimens of patients with the diagnosis of schizophrenia and appropriate controls. We also tested the possibility of correlation of age, cognitive function as measured by the Clinical Dementia Rating scale (CDR) and the densities of the hallmark neuropathologic feature of age-associated dementia, neuritic plaques, PDHC and each individual enzyme of TCA cycle. Measures of cognitive function and neuropathology were included because many elderly persons with schizophrenia also evidence significant cognitive impairments (Molina et al., 2009; Friedman et al., 1999). Their degree of association may hold the key for the oxidative damage and mitochondrial malfunctioning in schizophrenia.
EXPERIMENTAL/MATERIALS AND METHODS
The diagnosis of schizophrenia was established by a team of research clinicians using previously published criteria and methodologies (Dracheva et al., 2001). The human brain samples were obtained from the brain bank at the Department of Psychiatry, Mount Sinai/Bronx Veterans Administration Medical Center. Normal controls had no history of any psychiatric or neurological disorders. Of the schizophrenia patients, nine had been off neuroleptic medications for at least six months prior to death. The CDR scores used in cases and controls were determined at a consensus conference after death. For each case antemortem CDR, MMSE and other measures of cognition were reviewed along with medical histories and reports and interviews of informants. The final CDR scores used here took into consideration the subject’s cognitive status during the past 6 months of life. All procedures including postmortem evaluations were approved by the Institutional review boards of Pilgrim Psychiatric Center, Mount Sinai School of Medicine and the Bronx VA Medical Center. The research was carried out in accordance with the Code of Ethics of the World Medical Association.
The mean age, postmortem interval (PMI) and gender of the patients and controls were comparable (Table 1). Although the schizophrenia patients and controls were in the geriatric age range, neuropathologic examinations ruled out specific pathologies such as Alzheimer disease and multi infarct dementia (Purohit et al., 1998). The density of neuritic plaques with amyloid cores was determined by counting the number of neuritic plaques in five high-power microscopic fields in five slides as described previously (Purohit et al., 1998). Plaque densities were determined by Bielschowsky, thioflavin-S and immunohistochemistry. The PMI of all subjects was less than 24 hours. Storage time at −80°C for the samples varied between 1–9 years, however, storage time between cases and controls did not differ significantly (p=0.38). All enzyme activity assays were performed blind to clinical information.
Table 1.
Group | Gender M: F |
Age (yrs) | Postmortem interval (hrs) |
CDR | Plaque1 | ChAT2 |
---|---|---|---|---|---|---|
Controls | 4:9 | 79.23 ± 3.0 | 9.16 ± 1.5 | 1.00 ± 0.45 | 1.32 ± 0.76 | 4.1 ± 0.6 |
(66–98) | (4.75–18.5) | (0–5) | (0–7.8) | (3.4–4.7) | ||
Schizophrenic | 9:4 | 72.15 ± 3.0 | 8.30 ± 1.4 | 2.2 ± 0.62 | 0.92 ± 0.46 | 6.0 ± 0.9 |
Patients | (61–87) | (4.5–21.1) | (0.5–3) | (0–5.5) | (0.75–12.1) |
Values are Means ± SEM.
The number in parentheses indicate the range of values.
Mean density of neuritic plaques in 5 neocortical regions
nmol ACh/mg. protein/hour performed routinely in tissue samples from the parietal cortex (Haroutunian et al., 1994).
Gray matter (~2.0 gm wet weight) from dorsal lateral prefrontal cortex (DLPFC) (Brodmann area 46) was dissected from blocks of frozen brain (−80° C) from patients with schizophrenia (N=13) and from non-psychiatric disease controls (N=13). The tissues were pulverized in liquid nitrogen at −190°C into a fine powder, aliquoted (50 ± 5 mg) into individual Eppendorf tubes and stored at −80°C until use. Before running the assays, the brains were homogenised with a teflon-glass homogenizer in the following buffers:
50 mM Tris-HCI; 1 mM EDTA; 10% glycerol-pH 7.6 (for estimation of SDH, STH, MDH, Fumarase and CS).
50 mM Tris-HCI; 5 mM sodium citrate; 0.6 mM magnesium chloride-pH 7.4; 1 mM DTT; 0.2 mM EGTA; 0.08 % Triton X-100 and 50 µM leupeptin (for estimation of aconitase, ICDH and KGDHC)
50 mM sodium phosphate-pH 7.4; 1 mM DTT; 20% Triton X-100 and 50 µM leupeptin (for estimation of active and total PDHC).
One unit of enzyme activity was defined as the amount of enzyme catalyzing the production of 1 nmole of NADH or NADPH/min per mg protein.
Enzyme activities were measured by well standardized, published methods: PDHC (Ksiezak-Reding et al., 1982; McCormack and Denton, 1989); CS (Shepherd and Garland, 1969); aconitase (Morton et al., 1998); ICDH (Bai et al., 1999); KGDHC (Gibson et al., 1988); STH (Sungman, 1969); SDH (Veeger et al., 1969); fumarase (Hill and Bradshaw, 1969) and MDH (Kitto, 1969). Protein content was determined with a Bio-Rad 500-006 kit (Bio-Rad Laboratories, Hercules, CA, USA) based on Bradford dye binding procedure that utilizes the color change of Coomassie brilliant blue G-250 (Bradford, 1976).
Post-Mortem stability of enzymes in mice brains
NIH Swiss mice (Harlan Sprague Dawley Indianapolis, IN) were used. Upon arrival, the animals were housed in cages and were maintained under constant temperature (70°F), humidity (50%) and 12-h light-dark cycle. The animals were fed a pelleted diet (ICN Nutritional Biochemicals; Cleveland, Ohio) and provided distilled water.
Twenty four mice were divided into four equal groups. All the mice in four groups were killed by cervical dislocation and kept at 4 degrees for 0 minute (group 1), 3 (group 2), 6 (group 3) and 12 hours (group 4). Brain tissues from two mice were pulverized in liquid nitrogen into a fine powder, pooled together and aliquoted into individual Eppendorf tubes and stored at −80°C. The animal procedures were approved by the Institutional Animal Care and Use Committee of Weill Medical College of Cornell University. Estimations of enzymes of TCA cycle were carried out similarly.
Data analysis and statistics
All of the measurements of individual samples were carried out in triplicate. Comparisons of persons with schizophrenia and controls (subject characteristics and change in the TCA cycle enzyme activities) were done by Student t-test (two-way). One way analyses of variance (ANOVA) and post hoc Bonferroni test was carried out to evaluate the effect of gender differences on the level of enzyme activities. Comparisons between multiple groups (Postmortem studies) were also carried out by analysis of variance (ANOVA). Pearson correlation coefficient was used for correlation studies.
RESULTS
Characteristics of patients and controls
Age and postmortem intervals of schizophrenia patients and control subjects did not differ significantly (p>0.1) (Table 1). The age of subjects varied from 61–98 years. The mean post mortem interval (PMI) also ranged from 8–10 hours for the two groups. The small differences in CDR and choline acetyl transferase activity values between schizophrenia patients and controls were not significant (p>0.1).
TCA cycle enzyme activities in brains from humans and mice
The activities of enzymes in TCA cycle varied considerably in human brain (Figure 2). MDH had the highest activity. PDHC, citrate synthase and fumarase activities were intermediate. Aconitase, STH, SDH and KGDHC activities were lowest. TCA cycle enzyme activities in mouse brains showed a similar pattern, although the activities of most of the enzymes in the brains of the smaller animals (CS, KGDHC, SDH, MDH, fumarase and PDHC) were 2–3 times higher than in human brains. Aconitase and STH activities were nine and fifteen times higher in brains from mice than humans. The activities of ICDH were similar in both species.
Post-mortem stability
Post-mortem stability studies of the enzymes in TCA cycle of mice brains at different post-mortem time intervals showed that most of these enzymes were stable (Figure 3). Mean activities (mU/mg protein, mean ± SEM) of enzymes at different time intervals in the brain of mice did not show significant changes except PDHC, KGDHC and STH. PDHC and KGDHC activity in mice brains decreased about 28 % and 19 % respectively after 12 hours. STH enzyme activity also decreased 30 % in mice brains after PMI interval of 3–12 hours.
Activities of TCA cycle enzymes in the brain of persons with schizophrenia
The activities of several enzymes of the TCA cycle differed significantly in schizophrenic’s brains in comparison to controls. Aconitase activity was significantly lower (18.4%, p<0.05) in schizophrenia patients than in controls as was that of KGDHC, by 26% (Figure 4) and STH, by 28.2 %, (p<0.05). SDH activities were higher in schizophrenia patients (18.3%, p<0.05) as was MDH (34%, p<0.005) (Figure 3). The activities of total PDHC, CS, ICDH, and fumarase enzyme were the same in both groups (Figure 3). One way analyses of variance (ANOVA) and post hoc Bonferroni test tested the effect of gender on the level of enzyme activities. The analysis revealed significant difference (p<0.004) in the level of MDH only in the females. However rest of the enzymes did not show any such difference. Covariates such as CDR and PMI did not show any correlation with enzyme activity (Table-3). Variable such as age showed a significant correlation only with aconitase enzyme levels.
TABLE 3.
PMI | CDR | AGE | Mean plaque | ChAT | |
---|---|---|---|---|---|
PDHC | 0.193 | −0.249 | 0.025 | 0.070 | 0.082 |
0.344 | 0.220 | 0.902 | 0.732 | 0.780 | |
CS | 0.153 | 0.196 | 0.001 | 0.111 | −0.006 |
0.454 | 0.337 | 0.994 | 0.587 | 0.984 | |
Aconitase | 0.046 | 0.019 | 0.552 | 0.153 | 0.188 |
0.824 | 0.927 | 0.003 | 0.454 | 0.518 | |
ICDH | −0.034 | 0.107 | −0.052 | −0.003 | 0.372 |
0.869 | 0.602 | 0.801 | 0.988 | 0.190 | |
KGDHC | −0.030 | −0.2172 | 0.163 | 0.188 | −0.153 |
0.888 | 0.2865 | 0.424 | 0.357 | 0.602 | |
STH | 0.184 | 0.1025 | 0.311 | −0.071 | −0.097 |
0.368 | 0.618 | 0.121 | 0.731 | 0.740 | |
SDH | 0.313 | 0.0287 | −0.276 | −0.108 | −0.123 |
0.119 | 0.889 | 0.172 | 0.597 | 0.674 | |
Fumarase | 0.081 | −0.331 | 0.334 | 0.102 | 0.489 |
0.694 | 0.098 | 0.095 | 0.618 | 0.076 | |
MDH | −0.116 | 0.024 | 0.113 | 0.103 | −0.235 |
0.572 | 0.907 | 0.581 | 0.614 | 0.418 |
The upper value is correlation coefficient, the lower value is significance.
N = 26
Correlation of TCA cycle enzymes with CDR, Age and Mean Plaques
There was no significant correlation between cognitive dementia rating (CDR) score, mean plaque score, choline acetyl transferase activity or PMI and activities of the enzymes of the TCA cycle. Aconitase activity fell slightly but significantly (r = 0.55, P =0.003) with age (Table-2).
TABLE 2.
PMI | CDR | AGE | Mean plaque | ChAT | |
---|---|---|---|---|---|
PDHC | 0.193 | −0.249 | 0.025 | 0.070 | 0.082 |
0.344 | 0.220 | 0.902 | 0.732 | 0.780 | |
CS | 0.153 | 0.196 | 0.001 | 0.111 | −0.006 |
0.454 | 0.337 | 0.994 | 0.587 | 0.984 | |
Aconitase | 0.046 | 0.019 | 0.552 | 0.153 | 0.188 |
0.824 | 0.927 | 0.003 | 0.454 | 0.518 | |
ICDH | −0.034 | 0.107 | −0.052 | −0.003 | 0.372 |
0.869 | 0.602 | 0.801 | 0.988 | 0.190 | |
KGDHC | −0.030 | −0.2172 | 0.163 | 0.188 | −0.153 |
0.888 | 0.2865 | 0.424 | 0.357 | 0.602 | |
STH | 0.184 | 0.1025 | 0.311 | −0.071 | −0.097 |
0.368 | 0.618 | 0.121 | 0.731 | 0.740 | |
SDH | 0.313 | 0.0287 | −0.276 | −0.108 | −0.123 |
0.119 | 0.889 | 0.172 | 0.597 | 0.674 | |
Fumarase | 0.081 | −0.331 | 0.334 | 0.102 | 0.489 |
0.694 | 0.098 | 0.095 | 0.618 | 0.076 | |
MDH | −0.116 | 0.024 | 0.113 | 0.103 | −0.235 |
0.572 | 0.907 | 0.581 | 0.614 | 0.418 |
The upper value is correlation coefficient, the lower value is significance.
N = 26
DISCUSSION
Our findings of altered enzyme activities of the enzymes of TCA cycle support the possibility that abnormalities in energy metabolism contribute to schizophrenia. Proteomic, metabolomic and transcriptional analysis all suggest major alterations in mitochondrial function and oxidative stress in brain of persons with schizophrenia (Prabakaran et al., 2004). The results of the present study in DLPFC agree with their findings and extend our previous reported findings (Bubber et al., 2004). Both studies reveal a non-significant decline in the activity of KGDHC. Gluck et al., (2002) also reported no change in KGDHC activity in DLPFC region of brain in comparison of schizophrenia patients and normal controls as whole groups or when they are matched for age. The current studies did demonstrate significant decreases in aconitase and STH (Bubber et al., 2004).
Even relatively small reductions in the activities of these enzymes can alter brain function. For example, even mild impairment of metabolism increases the release of dopamine and decreases the release of acetylcholine (Gibson et al., 1989, 1991; Blass et al., 2002). KGDHC can be rate controlling step of the TCA cycle. Any reduction in the activity of the TCA cycle reduces the synthesis of acetylcholine from glucose even though the acetyl group for acetylcholine synthesis is only a minor part of overall glucose metabolism (c.f. Joseph and Gibson, 2007). Reduction of KGDHC by genetic manipulation shows that even small reductions in KGDHC activities increase the GABA pathway (Santos et al., 2006; Shi et al., 2009). Thus, both in vivo and in vitro data indicate that any reduction in these enzymes will affect the brain.
There is a strong possibility that lower levels of aconitase and STH dysregulate mitochondrial metabolism in persons with schizophrenia. These enzymes participate in energy production, neurotransmitter metabolism and metabolic interaction between mitochondria and cytoplasm. Aconitase catalyses the reversible interconversion of citrate and isocitrate via the enzyme bound intermediate cis-aconitate. It belongs to the family of iron-sulfur containing dehydratases (Rose and O Connell, 1967). Inactivation of aconitase blocks NADH production (Tretter and Adam-Vizi, 2000). Aconitase is commonly used as a biomarker for oxidative stress and has been suggested to serve as an intramitochondrial sensor of redox status. The lack of correlation of the activity of aconitase with age in the current study may be attributable to the relatively advanced age of the study cohort as a whole.
Schizophrenia is accompanied by significantly lower STH activity in brain. STH catalyses the cleavage of thioester bond of succinyl COA forming succinate and CoASH. There is increased likelihood that the lower levels of KGDHC will generate lower levels of succinyl-COA and even further lower levels of STH may further lower succinate oxidation in the TCA cycle. The cellular reaction catalysed by STH enzyme is key for generation of ribonucleoside triphosphate in the TCA cycle. Lower levels of STH would diminish the metabolic energy and the ability to respond to energy demand in brains of patients with schizophrenia.
The increased activity of the TCA cycle enzymes SDH and MDH in schizophrenia contrasts with the decrease in activities of aconitase and STH. The redox coenzyme for the reaction catalyzed by SDH is FAD, rather than NAD+. FAD is a more powerful oxidizing agent than NAD+. Rapid oxidation of succinate and its non-enzymatic formation from α-ketoglutarate via transamination (Fedotcheva et al., 2006) may shunt the TCA cycle upon inactivation of KGDH under oxidative stress, which is inherent in many diseases such as schizophrenia and aging. SDH is also a component of mitochondrial electron transport chain. Its higher activities may increase electron leakage in the electron transport chain which is an important source of superoxide radicals (Bonilla et al., 1999). The high levels of MDH and SDH may be an adaptive change to deficiencies of STH and aconitase. An imbalance of dehydrogenases in the TCA cycle may favor the generation of free radicals and ROS over antioxidant defenses, leading to oxidative stress.
Since schizophrenia is a life-long disease in the chronically-ill cohort studied here, the number of defective mitochondria may accumulate with age and this could lead abnormal brain metabolism which could initiate slow degenerative processes in neurons as seen in AD (Prasad et al, 2002). Most of the TCA cycle enzymes did not show any association with age except aconitase. It showed a significant correlation with age and its activity was lower in schizophrenia patients in comparison to controls.
Future studies are warranted to determine the several links in the disease mechanism to distinguish primary from secondary disease phenomenon. Alteration in the activities of key TCA cycle enzymes seems to be the central component of schizophrenia and is unlikely to be due to the effects of medication (Stone et al., 2004). Changes in oxidative stress and mitochondrial function with schizophrenia appear to be linked to the pathology of schizophrenia (Prabakaran et al., 2004). These observations are further supported by the ability to separate schizophrenia patients from controls based on a set of genes encoding mitochondrial complexes and redox sensing proteins. Our results are significant in identifying the key altered enzymes in metabolic assembly of the TCA cycle. The changes in the enzymes may lead to an imbalance in the TCA cycle, and the resulting mitochondrial dysfunction and insufficiency could lead to predisposition to and precipitation of schizophrenia. These findings will enhance the understanding of the pathology of disease and suggest new therapeutic strategies that address the mitochondrial deficit in schizophrenia.
Acknowledgments
Role of Funding Source. This work was supported by grants MH064673 & MH066392, AG14600, AG11921, AG14930, AG11921 and Burke Medical Research Institute. The funding sources were not involved in study design, collection analysis or interpretation of the data, the writing of the report nor submission to Schizophrenia Research.
Abbreviations
- AABS
Amino Azo Benzoic acid
- AD
Alzheimer’s disease
- BSA
Bovine Serum Albumin
- CS
Citrate Synthase (EC 4.1.3.7)
- DTT
Dithiothreitol
- EGTA
Ethylene Glycol Tetra Acetic acid
- EDTA
Ethylene Diamine Tetra Acetic acid
- GTP
Guanosine Triphosphate
- KGDHC
α-Ketoglutaric Acid Dehydrogenase Complex (KGDHC; EC 1.2.4.2, EC 2.3.1.61, EC 1.6.4.3)
- ICDH
Isocitric Acid Dehydrogenase (EC 1.1.1.41)
- MDH
Malate Dehydrogenase (EC 1.1.1.37)
- PDHC
Pyruvate Dehydrogenase Complex (EC 1.2.4.1, EC 2.3.1.12, EC 1.6.4.3).
- ROS
Reactive Oxygen Species
- STH
Succinate Thiokinase (EC 6.2.1.4)
- SDH
Succinate Dehydrogenase (EC 1.3.99.1)
- TCA
Tricarboxylic Acid
Footnotes
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