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Neurodegenerative Dis 2013;12:189-198

Postmortem Brain Levels of Urate and Precursors in Parkinson's Disease and Related Disorders

McFarland N.R.a, b · Burdett T.b · Desjardins C.A.b · Frosch M.P.b, c · Schwarzschild M.A.b
aCenter for Translational Research in Neurodegenerative Disease, Department of Neurology, University of Florida College of Medicine, Gainesville, Fla.; MassGeneral Institute for Neurodegenerative Disease, Departments of bNeurology and cPathology, Massachusetts General Hospital, Boston, Mass., USA
email Corresponding Author


 goto top of outline Key Words

  • Uric acid
  • Purines
  • Neurodegeneration
  • Parkinsonism
  • Lewy body disease
  • Alzheimer’s disease

 goto top of outline Abstract

Background: Increasing evidence suggests that urate may play an important role in neurodegenerative disease. In Parkinson's disease (PD) higher, but still normal, levels of blood and cerebrospinal fluid urate have been associated with a lower rate of disease progression. Objective: We explored the hypothesis that lower levels of urate and its purine precursors in brain may be associated with PD and related neurodegenerative disorders, including Alzheimer's disease (AD) and Lewy body dementia (DLB). Methods: Human postmortem brain tissues were obtained from PD, AD, and DLB patients and non-neurodegenerative disease controls. We measured urate and other purine pathway analytes in the frontal and temporal cortex, striatum, and cerebellum, using high-performance liquid chromatography with electrochemical and ultraviolet detection. Results: Age was well-matched among groups. Mean postmortem interval for samples was 16.3 ± 9.9 h. Urate levels in cortical and striatal tissue trended lower in PD and AD compared to controls in males only. These findings correlated with increased urate in male versus female control tissues. By contrast, in DLB urate levels were significantly elevated relative to PD and AD. Measurement of urate precursors suggested a decrease in xanthine in PD compared to AD in females only, and relative increases in inosine and adenosine in DLB and AD samples among males. Xanthine and hypoxanthine were more concentrated in striatal tissue than in other brain regions. Conclusions: Though limited in sample size, these findings lend support to the inverse association between urate levels and PD, as well as possibly AD. The finding of increased urate in DLB brain tissue is novel and warrants further study.

Copyright © 2013 S. Karger AG, Basel

goto top of outline Introduction

Increasing clinical, epidemiological, and laboratory evidence suggests that urate (or uric acid) may play a role in neurodegenerative disease, and Parkinson's disease (PD) in particular. Urate is a natural antioxidant, found abundantly in blood and human brain tissue due to mutations of the urate oxidase (UOx) gene during primate evolution [1]. In humans, urate is thus the enzymatic end product of purine metabolism (fig. 1) and circulates at high plasma concentrations. Urate's antioxidant capacity is comparable to that of ascorbate [2,3] and suggests that the loss of urate oxidase activity in our primate ancestors may have provided additional antioxidant health benefits [4]. Urate also inhibits free-radical formation and forms complexes with iron (particularly Fe3+), crucial to limiting oxidative damage [2]. As oxidative stress is thought to contribute to loss of nigrostriatal dopamine neurons in PD and the pathophysiology of other neurodegenerative disorders, levels of urate and its metabolites may help determine disease susceptibility and predict rate of progression [5,6].

Fig. 1. Metabolism of purines in humans. Loss of urate oxidase (UOx) function results in elevated urate. PNP = Purine nucleoside phosphorylase.

In the early 1990s, Church and Ward [7 ] provided initial, postmortem evidence that nigrostriatal levels of urate (but not ascorbate) as well as dopamine are reduced in PD. Epidemiological and clinical studies subsequently linked lower urate levels to a greater risk of PD and a faster rate of its progression [8,9,10]. Lower urate levels have likewise been reported for patients with mild cognitive impairment and Alzheimer's disease (AD) [11,12,13]. Similarly, higher urate has been associated with reduced progression in Huntington's disease [14] and multiple system atrophy [15]. Furthermore, recent data suggest a potential link between higher plasma urate levels and reduced progression of cognitive decline and adjusted risk of dementia [16,17]. However, other studies have linked higher urate to an increased risk of dementia, though these generally have not been adjusted for cerebral ischemia, which is frequently comorbid with both dementia and elevated urate levels and may mediate the association between urate and cognitive dysfunction [18].

In this study, we explored the hypothesis that lower brain urate levels may be associated with PD and related neurodegenerative disorders, including AD and dementia with Lewy bodies (DLB). A secondary aim was to determine whether levels of urate and its precursors vary among brain regions and correlate with affected areas in each disease. We analyzed human postmortem brain tissue obtained from the Massachusetts General Alzheimer Disease Research Center (ADRC)/Harvard NeuroDiscovery Center neuropathology core from PD, AD, and DLB patients and age-matched non-neurodegenerative disease controls. Urate pathway analytes were measured in multiple brain regions, including the frontal and temporal cortex, striatum, and cerebellum using high-performance liquid chromatography (HPLC) with electrochemical and ultraviolet (UV) detection.


goto top of outline Methods

goto top of outline Standard Protocol Approvals and Patient Consents

Postmortem tissue collection and protocols were approved by the Partners/Massachusetts General Hospital Institutional Review Board. Prior written, informed consent was obtained from brain donor participants or from their family members or authorized representatives.

goto top of outline Tissue Selection

Brain samples were obtained from the Massachusetts General ADRC/Harvard NeuroDiscovery Center neuropathology core B repository based on tissue availability and confirmed neuropathological diagnosis. Relevant clinical information such as age, gender, race, comorbidities, and clinical diagnosis was acquired from the brain bank database. Criteria used for neuropathological diagnosis included those established by the London Brain Bank for PD [19,20], the DLB Consortium [21], and the National Institute on Aging and Reagan Institute Working group for AD [22]. Fresh frozen tissues (∼100-200 mg, stored at -80°C) from PD, DLB, AD, and age-matched, non-neurodegenerative disease control brains were collected and included samples from the frontal and temporal cortices, striatum (caudate and putamen), and cerebellum. There was insufficient midbrain tissue for adequate sampling. Cases with combined AD and Lewy body pathology, and those with extensive cerebrovascular disease considered likely to cause dementia, were excluded. To help ensure stability of urate and metabolites, the average postmortem interval (PMI) for cases was kept as short as possible (generally <24 h) and matched across the disease and control groups (table 1). Five to 10 samples for each disease state, gender, and specified brain region were examined.

Table 1. Group statistics

goto top of outline Urate and Precursor Measurements

We compared urate pathway metabolites in human postmortem tissue across select brain regions and neurodegenerative diseases, including PD, DLB, AD, and controls. Tissue samples were homogenized on ice in 50 mM phosphoric acid solution (containing 0.1 mM EDTA) with 50 µM methyldopa and 1 µM 3,4-dihydroxybenzylamine as internal standards, and then centrifuged at 16,000 g for 15 min. The supernatant was filtered through a 0.22-µm Spin-X (Costar) cellulose acetate filter [23]. Purines in the brain homogenate filtrates were separated over a reverse-phase HPLC column, and then measured in the effluent by serial UV and electrochemical detectors. Specifically, adenosine, inosine and hypoxanthine were quantified based on UV absorbance at 254 nm, whereas urate and xanthine were quantified based on oxidation at a coulometric detector set at 150 and 450 mV, respectively [24]. For calibration, standard concentrations of each purine were also measured. All data were collected using a CoulArray Data Station with 3.0 software (ESA Biosciences, Chelmsford, Mass., USA) with autorange gain enabled. Measurements for each sample were normalized to the methyldopa standard peak and wet weight of tissue analyzed (expressed as ng of analyte per wet weight of brain tissue (wwt) in figures).

goto top of outline Statistical Analysis

All statistical analyses were performed in SPSS 20.0 (IBM Corp.). For comparison of group statistics, we performed analysis of variance (Kruskal-Wallis, α = 0.05) with post hoc Dunn's multiple comparison tests. Linear regression analysis was done on urate and precursor measurements for all areas (average) versus PMI and age. Normalized data for urate and precursors were analyzed by multivariate general linear model (MANCOVA) with disease, brain region, and gender as independent variables and with age and PMI as covariates. Post hoc pairwise comparisons were performed with Bonferroni correction. Data in graphs are expressed as means ± SEM.


goto top of outline Results

A total of 62 cases was collected and included 17 PD, 13 DLB, 19 AD, and 13 age-matched non-neurodegenerative disease controls. Controls died of various causes, including cardiovascular disease, pneumonia, cancer, and gastrointestinal bleed. For each group, basic demographic and specimen features are displayed in table 1. Disease and control groups were generally well matched for age and PMI. There was no significant difference in age among groups with mean (±SD) age for all groups being 79.2 ± 9.0 years. Overall mean PMI was 16.1 ± 10.4 h and differed among groups (H = 8.6, d.f. = 3, p = 0.035) with PMI for AD (12 ± 7.5 h) being significantly lower than for controls (22.7 ± 12.4 h). Given uncertainty over the stability of urate and enzymatic precursors in postmortem tissue, we performed regression analysis of brain urate and precursor levels versus PMI and age (table 2). Although we found no significant correlation with urate levels (fig. 2a), PMI appeared to predict higher levels of xanthine. There was also a trend for higher levels of hypoxanthine, whereas lower levels of both inosine and adenosine were suggested. The cause of these trends is unclear, but may indicate postmortem, active enzymatic or non-enzymatic metabolism of purines early in the pathway. Regression analysis revealed a non-significant trend toward increased urate levels with age but is consistent with that found in serum urate levels (fig. 2b) [25,26]. Among precursors, only xanthine showed a significant correlation and decline in levels with age.

Table 2. Regression data for age and PMI versus urate and precursors

Fig. 2. Regression analysis of PMI versus urate levels (β = 0.042, p = 0.576) (a), and age versus urate (β = 0.114, p = 0.128) (b). No significant relationships were found.

goto top of outline Urate and Precursor Levels in PD and Gender Differences

Two-way analysis of primary measurements of urate in postmortem brain samples was restricted to disease-relevant regions, including cortical and striatal samples only, and showed main effects for both disease (F [3, 136] = 7.44, p < 0.0005) and gender (F [1, 138] = 6.38, p = 0.013), as well as a significant interaction between disease and gender (F [3, 136] = 4.10, p = 0.008). In control tissue, urate levels in males were significantly higher (8.21 ±1.0 ng/mg wwt, p = 0.014) than in females (4.06 ± 1.44 ng/mg wwt), consistent with levels reported in serum [27,28]. Urate levels in PD trended lower than in control tissue (p = 0.096) among males, whereas there was no difference among females (fig. 3). Interestingly, urate in DLB among males was significantly elevated compared to PD (p < 0.0005) and AD (p < 0.0005). Analysis of xanthine levels also showed main effects for disease (F [3, 136] = 3.53, p = 0.017) but not gender, though there was a significant interaction between disease and gender (F [3, 136] = 7.75, p < 0.0005). Pairwise comparisons showed that xanthine levels in PD were significantly lower (p = 0.019) in females (22.6 ± 3.7 ng/mg wwt) than in males (32.9 ± 2.3 ng/mg wwt), whereas in controls and DLB, levels were higher in females (42.0 ± 4.1 ng/mg wwt, p = 0.002 and 43.1 ± 2.9 ng/mg wwt, p < 0.000, respectively). Additionally, among females, xanthine was reduced in PD compared to DLB (p < 0.0005) and to control tissues (p = 0.004). No significant differences in xanthine levels were found in males. There were no interactions or main effects detected for hypoxanthine levels either. However, interaction between disease and gender effects on inosine levels trended toward significance (F [3, 136] = 2.21, p = 0.09). Post hoc analysis revealed that in PD, females have significantly elevated brain levels of inosine (p = 0.012) compared to males (149.6 ± 20.1 vs. 89.1 ± 12.6 ng/mg wwt, respectively). Among males, inosine levels in AD were also increased (137.8 ± 10.8 ng/mg wwt, p = 0.025) relative to PD. For adenosine, there were no significant main effects due to the high variability of adenosine readouts, although pairwise comparisons suggested differences in levels for DLB between male and female (p = 0.01) tissues, as well as between male DLB and control (p = 0.005) and PD levels (p = 0.006).

Fig. 3. Disease versus gender differences in brain purine levels for non-neurodegenerative disease control, PD, DLB, and AD tissue. Urate levels (a) in controls are significantly lower in female versus male tissue. Urate in PD males appears reduced and is more comparable to that in female control tissue, but represents a trend only (p = 0.096). In contrast, urate in DLB is significantly elevated compared to PD and AD tissue (p < 0.0005). Among precursors, xanthine (b) in PD is decreased in females versus males, whereas increased in DLB females. Xanthine in DLB females is also significantly elevated compared to PD. Inosine (d) levels are increased in AD compared to PD tissues. In PD tissues, inosine is also significantly elevated in female versus male samples. Adenosine (e) is increased in DLB relative to control and PD tissue among males. p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001. Gender comparison: # p < 0.05, ## p < 0.01, ### p < 0.001.

goto top of outline Urate/Precursor Levels by Region and Disease

Analyses of urate and precursor levels in postmortem brain samples by region and disease include both genders pooled (fig. 4). We also performed separate male and female analyses which showed similar results, though there were limited female PD samples for all brain regions (data not shown). For urate, there were main effects for region (F [3, 162] = 3.09, p = 0.029) and disease (F [3, 162] = 8.83, p < 0.0005; fig. 4a, b) on postmortem brain levels. Simple effects analysis indicated that cerebellar urate levels were higher than levels in the striatum (p = 0.041). Among disease groups, urate was elevated in DLB brains versus control, AD, and PD brains (p = 0.029, <0.0005, and <0.0005, respectively). Post hoc analyses similarly showed significant increase in urate in the cerebellum for DLB compared to AD (p = 0.004). Though urate in PD and AD appeared lower than in control tissues, differences did not reach significance. By contrast, brain xanthine levels did not differ among disease groups but trended higher in the striatum compared to other tissues (F [3, 162] = 9.15, p < 0.0005). Likewise, there was no association between hypoxanthine levels and disease, but significant regional differences in hypoxanthine (F [3, 162] = 11.66, p < 0.0005) were noted for the striatum compared to the frontal and temporal cortices (p < 0.0005), as well as the cerebellum compared to the frontal (p < 0.0005) and temporal (p = 0.024) cortices. Inosine levels displayed a disease effect (F [4, 162] = 2.71, p = 0.047) with relative increase in AD versus control tissues (p = 0.20), but no significant regional associations. Although adenosine values were low and variable, we detected a main effect for disease (F [3, 162] = 5.32, p = 0.002) with DLB levels being higher than those in PD (p = 0.015) and control subjects (p = 0.006).

Fig. 4. Region versus disease group differences in brain purine levels. Graphs of both disease versus region (left) and region versus disease (right) are shown for clarity. For urate (a, b), there is a clear trend toward lower urate in PD and AD, but significant elevation in DLB (p < 0.0005). Xanthine (c, d) shows no relation to disease, but is increased in the striatum. Similarly, hypoxanthine (e, f) levels are greater in the striatum and cerebellum compared to frontal and temporal cortices (p < 0.0005). There is no disease effect. For inosine (g, h), no regional or disease effects are seen, though AD levels are greater than levels in PD in frontal tissues. Adenosine (i, j) levels are increased in DLB compared to PD (p = 0.015) and control (p = 0.006). Significant interactions (post hoc) between region and disease for urate and precursors are also shown. p < 0.1, * p < 0.05, ** p < 0.01. CBL = Cerebellum.


goto top of outline Discussion

Urate, the end product of enzymatic purine metabolism in humans, has emerged as a potential biomarker for PD with serum and CSF levels correlating inversely with risk and progression rates [9,28]. Recent studies also indicate a potential link between urate, cognitive decline, and AD [11,12,16,17]. In this study, we analyzed postmortem brain levels of urate and its purine precursors among multiple select brain regions and neurodegenerative diseases, including PD, DLB, and AD, to test the hypothesis that lower levels correlate with disease. In males, but not females, there was a clear trend toward lower urate levels in PD versus control brains, though levels did not quite reach significance (p = 0.096). This finding correlated with significantly higher urate levels in control tissue in males versus females, mirroring similar gender differences reported in serum [29]. Our findings are generally in agreement with Church and Ward [7], who also found lower levels of urate in PD substantia nigra and striatum compared to control. These findings appear to support the notion that in males, PD brains may, as a result of lower urate levels, have a decreased antioxidant capacity and greater risk for oxidative damage and dopaminergic cell loss [2,5], consistent with epidemiological data suggesting an inverse correlation with risk and disease progression rate [9,10].

Conversely, a lower brain urate concentration in PD patients may be secondary to their putatively higher levels of oxidative stress and reactive oxygen species (ROS) [5]. Urate is consumed as it exerts its antioxidant action, which entails the non-enzymatic oxidation of urate by ROS resulting in irreversible conversion to allantoin. Thus, it would be informative to determine whether lower levels of urate in PD are associated with higher levels of allantoin, with a higher allantoin:urate ratio potentially serving as an index of oxidative stress [30] and potentially a more robust prognostic biomarker of PD compared to urate alone. Because urate's purine ring structure is disrupted upon its conversion to allantoin, the electrochemical or UV methods employed here were not adequate on their own to measure the analyte in brain tissue, but may be coupled with an allantoin derivatization step toward this end in future studies.

Whereas brain urate levels trended lower for PD, unexpectedly we found that urate appeared significantly elevated in DLB brains in all brain regions examined. Ours is the first study to our knowledge to demonstrate this finding in postmortem brain. Similar to PD, differences in urate in DLB reached significance only in males. Greater numbers are needed to increase the power of analysis, however. Although dementia in some studies has been linked to higher urate levels, this association has been attributed at least in part to urate's covariance with vascular risk factors [31,32,33]. Indeed, other studies have shown the opposite association [11,12], with lower urate levels linked to a reduced risk of dementia after adjusting for potential cardiovascular confounds. Thus, the higher urate levels we observed in postmortem DLB brain could reflect associated vascular risk factors, which have been shown to be a determinant of DLB diagnosis [34]. Vascular confounds, however, would not readily explain why urate was elevated in DLB but not in AD, which is similarly thought to be more likely among those with vascular risk factors. Information on whether the DLB subjects differed from other groups based on vascular risk factors was not available in the present study, but would be helpful to factor into future studies investigating the role of urate in neurodegenerative diseases to which vascular disease may contribute.

The findings in DLB also contrast those of a recent study of urate levels in Lewy body disorders with or without dementia, which reported lower levels of cerebrospinal fluid (CSF) urate in dementing Lewy body disorders (including DLB) compared to non-demented PD patients [35]. However, this study also reported differences between serum and CSF urate relationships to neurodegenerative diseases, suggesting that brain too may have a distinct association with urate. Thus, the role of brain urate in DLB in particular remains unclear and warrants further study.

Gender differences seen in this study add to increasing data that the urate-PD link is stronger in men than in women. For instance, men with gout have decreased risk of PD, whereas data for women were not significant, although interestingly use of anti-gout treatment was associated with reduced PD risk in both groups [36]. Serum levels also negatively correlated with risk of PD, disease duration, and daily levodopa dose in men, but again not in women [37], though a trend toward reduced risk in women has been observed in at least one epidemiological study [38]. Studies on disease progression likewise show an inverse correlation between serum or CSF urate and rate of clinical decline that is significant in men but not in women [10,28]. More recently, a similar inverse association between serum urate and presence of dopaminergic deficit on [I125] β-CIT SPECT was seen in men but did not quite reach statistical significance (p = 0.051) in women [39]. In our study, lower brain urate levels in females correlated with those found in serum and CSF, and were not different among control and PD tissue, which may help to explain the lack of association in women. Precursor levels, however, differed only for inosine, which was significantly elevated in woman and not men, a finding not previously reported. Together, these studies support the possibility that factors other than urate may play a more primary role for Parkinsonism in women, and that perhaps their oxidative burden is not as high as in men, who require or produce more urate.

In addition to gender, we explored regional differences in urate and metabolite levels as differences might be expected to be more prominent in areas affected by disease, such as the nigrostriatal system in PD. Previous reporting of postmortem brain urate in PD also reported a reduced urate concentration compared to that in control subjects but was based on a small sampling (n = 4) and was limited to nigral and striatal tissues [7]. In combination with these results, the present findings suggest a more generalized reduction in urate in PD brain rather than one specific to the nigrostriatal system.

Among urate's immediate precursors, xanthine and hypoxanthine, we observed few disease-specific alterations with the exception of a relative decrease in xanthine levels for PD compared to AD in females. Precursor levels, however, did appear to vary significantly by region in some disease as well as control brains, with striatal levels generally being the highest. Though consistent with a regionally specific decrease in striatal xanthine oxidase function, there was no accompanying decrease in striatal urate, and the significance and reproducibility of these differences remain to be determined.

This study has several limitations including the small sample size, lack of relevant midbrain tissue, and limited corresponding clinical information. Tissue samples were primarily obtained from one source, the Massachusetts General ADRC, and thus limited in scope and regions available. We further limited tissue samples, particularly in choosing controls, to those without concurrent severe cerebrovascular pathology and reported dementia that could confound urate measurements. Cardiovascular disease was reported in some cases (likely an underestimate given limited records), but other comorbidities, such as alcoholism, diabetes, and obesity, as well as medications were not detailed. Although cardiovascular risk is associated with elevated urate levels [40], it remains unclear whether this translates to higher levels in brain.

In conclusion, this study provides further support for a role of urate in PD by strengthening the direct evidence that urate levels in degenerating brain tissue of male PD patients, as well as in their CSF and blood, are lower than in control subjects. Although we did not examine oxidative stress in brain tissues, previous studies suggest that oxidation of dopamine and other markers of neuronal integrity are increased in the PD nigrostriatal system and that urate may play an important antioxidant role [7,41]. Testing in animal models of Parkinsonism may help further clarify the role of urate. Based on findings herein, the importance of urate and its metabolites in other neurodegenerative disorders remains unclear and warrants future investigation.


goto top of outline Acknowledgements

Special thanks to Karlotta Fitch and Miriam Greenstein for help with brain tissue samples. This study was supported by the Harvard NeuroDiscovery Center, NIH K08NS067024 (N.R.M.), NIH K24NS060991, DoD W81XWH-11-1-0150, and the RJG Foundation.

 goto top of outline References
  1. Oda M, Satta Y, Takenaka O, Takahata N: Loss of urate oxidase activity in hominoids and its evolutionary implications. Mol Biol Evol 2002;19:640-653.

    External Resources

  2. Ames BN, Cathcart R, Schwiers E, Hochstein P: Uric acid provides an antioxidant defense in humans against oxidant- and radical-caused aging and cancer: a hypothesis. Proc Natl Acad Sci USA 1981;78:6858-6862.
  3. Yeum KJ, Russell RM, Krinsky NI, Aldini G: Biomarkers of antioxidant capacity in the hydrophilic and lipophilic compartments of human plasma. Arch Biochem Biophys 2004;430:97-103.
  4. Proctor P: Similar functions of uric acid and ascorbate in man? Nature 1970;228:868.
  5. Jenner P: Oxidative stress in Parkinson's disease. Ann Neurol 2003;53(Suppl 3):S26-S36; discussion S36-S38.
  6. Beal MF: Mitochondria take center stage in aging and neurodegeneration. Ann Neurol 2005;58:495-505.
  7. Church WH, Ward VL: Uric acid is reduced in the substantia nigra in Parkinson's disease: effect on dopamine oxidation. Brain Res Bull 1994;33:419-425.
  8. de Lau LM, Koudstaal PJ, Hofman A, Breteler MM: Serum uric acid levels and the risk of Parkinson disease. Ann Neurol 2005;58:797-800.
  9. Weisskopf MG, O'Reilly E, Chen H, Schwarzschild MA, Ascherio A: Plasma urate and risk of Parkinson's disease. Am J Epidemiol 2007;166:561-567.
  10. Schwarzschild MA, Schwid SR, Marek K, Watts A, Lang AE, Oakes D, Shoulson I, Ascherio A, Hyson C, Gorbold E, Rudolph A, Kieburtz K, Fahn S, Gauger L, Goetz C, Seibyl J, Forrest M, Ondrasik J: Serum urate as a predictor of clinical and radiographic progression in Parkinson disease. Arch Neurol 2008;65:716-723.
  11. Kim TS, Pae CU, Yoon SJ, Jang WY, Lee NJ, Kim JJ, Lee SJ, Lee C, Paik IH, Lee CU: Decreased plasma antioxidants in patients with Alzheimer's disease. Int J Geriatr Psychiatry 2006;21:344-348.
  12. Rinaldi P, Polidori MC, Metastasio A, Mariani E, Mattioli P, Cherubini A, Catani M, Cecchetti R, Senin U, Mecocci P: Plasma antioxidants are similarly depleted in mild cognitive impairment and in Alzheimer's disease. Neurobiol Aging 2003;24:915-919.
  13. Bigio EH: C9ORF72, the new gene on the block, causes C9FTD/ALS: new insights provided by neuropathology. Acta Neuropathol 2011;122:653-655.
  14. Auinger P, Kieburtz K, McDermott MP: The relationship between uric acid levels and Huntington's disease progression. Mov Disord 2010;25:224-228.
  15. Lee JE, Song SK, Sohn YH, Lee PH: Uric acid as a potential disease modifier in patients with multiple system atrophy. Mov Disord 2011;26:1533-1536.
  16. Euser SM, Hofman A, Westendorp RG, Breteler MM: Serum uric acid and cognitive function and dementia. Brain 2008;132:377-382.
  17. Irizarry MC, Raman R, Schwarzschild MA, Becerra LM, Thomas RG, Peterson RC, Ascherio A, Aisen PS: Plasma urate and progression of mild cognitive impairment. Neurodegener Dis 2009;6:23-28.
  18. Vannorsdall TD, Jinnah HA, Gordon B, Kraut M, Schretlen DJ: Cerebral ischemia mediates the effect of serum uric acid on cognitive function. Stroke 2008;39:3418-3420.
  19. Daniel SE, Lees AJ: Parkinson's disease society brain bank, London: overview and research. J Neural Transm Suppl 1993;39:165-172.

    External Resources

  20. Gelb DJ, Oliver E, Gilman S: Diagnostic criteria for Parkinson disease. Arch Neurol 1999;56:33-39.
  21. McKeith IG, Dickson DW, Lowe J, Emre M, O'Brien JT, Feldman H, Cummings J, Duda JE, Lippa C, Perry EK, Aarsland D, Arai H, Ballard CG, Boeve B, Burn DJ, Costa D, Del Ser T, Dubois B, Galasko D, Gauthier S, Goetz CG, Gomez-Tortosa E, Halliday G, Hansen LA, Hardy J, Iwatsubo T, Kalaria RN, Kaufer D, Kenny RA, Korczyn A, Kosaka K, Lee VM, Lees A, Litvan I, Londos E, Lopez OL, Minoshima S, Mizuno Y, Molina JA, Mukaetova-Ladinska EB, Pasquier F, Perry RH, Schulz JB, Trojanowski JQ, Yamada M: Diagnosis and management of dementia with Lewy bodies: third report of the DLB consortium. Neurology 2005;65:1863-1872.
  22. Hyman BT, Trojanowski JQ: Consensus recommendations for the postmortem diagnosis of Alzheimer disease from the National Institute on Aging and the Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer Disease. J Neuropathol Exp Neurol 1997;56:1095-1097.

    External Resources

  23. Grootveld M, Halliwell B: Measurement of allantoin and uric acid in human body fluids. A potential index of free-radical reactions in vivo? Biochem J 1987;243:803-808.

    External Resources

  24. Burdett TC, Desjardins CA, Logan R, McFarland NR, Chen X, Schwarzschild MA: Efficient determination of purine metabolites in brain tissue and serum by high-performance liquid chromatography with electrochemical and UV detection. Biomed Chromatogr 2013;27:122-129.
  25. Perlstein TS, Gumieniak O, Williams GH, Sparrow D, Vokonas PS, Gaziano M, Weiss ST, Litonjua AA: Uric acid and the development of hypertension: the normative aging study. Hypertension 2006;48:1031-1036.
  26. Sato M, Wakayama T, Mamada H, Shirasaka Y, Nakanishi T, Tamai I: Identification and functional characterization of uric acid transporter Urat1 (Slc22a12) in rats. Biochim Biophys Acta 2011;1808:1441-1447.
  27. Zhu Y, Pandya BJ, Choi HK: Prevalence of gout and hyperuricemia in the US general population: the national health and nutrition examination survey 2007-2008. Arthritis Rheum 2011;63:3136-3141.
  28. Ascherio A, LeWitt PA, Xu K, Eberly S, Watts A, Matson WR, Marras C, Kieburtz K, Rudolph A, Bogdanov MB, Schwid SR, Tennis M, Tanner CM, Beal MF, Lang AE, Oakes D, Fahn S, Shoulson I, Schwarzschild MA: Urate as a predictor of the rate of clinical decline in Parkinson disease. Arch Neurol 2009;66:1460-1468.
  29. O'Reilly EJ, Gao X, Weisskopf MG, Chen H, Schwarzschild MA, Spiegelman D, Ascherio A: Plasma urate and Parkinson's disease in women. Am J Epidemiol 2010;172:666-670.
  30. Benzie IF, Chung W, Tomlinson B: Simultaneous measurement of allantoin and urate in plasma: analytical evaluation and potential clinical application in oxidant:antioxidant balance studies. Clin Chem 1999;45:901-904.

    External Resources

  31. Ruggiero C, Cherubini A, Lauretani F, Bandinelli S, Maggio M, Di Iorio A, Zuliani G, Dragonas C, Senin U, Ferrucci L: Uric acid and dementia in community-dwelling older persons. Dement Geriatr Cogn Disord 2009;27:382-389.
  32. Schretlen DJ, Inscore AB, Jinnah HA, Rao V, Gordon B, Pearlson GD: Serum uric acid and cognitive function in community-dwelling older adults. Neuropsychology 2007;21:136-140.
  33. Schretlen DJ, Inscore AB, Vannorsdall TD, Kraut M, Pearlson GD, Gordon B, Jinnah HA: Serum uric acid and brain ischemia in normal elderly adults. Neurology 2007;69:1418-1423.
  34. Londos E, Passant U, Brun A, Gustafson L: Clinical Lewy body dementia and the impact of vascular components. Int J Geriatr Psychiatry 2000;15:40-49.
  35. Maetzler W, Schafer A, Schulte C, Hauser AK, Lerche S, Wurster I, Schleicher E, Melms A, Berg D: Serum and cerebrospinal fluid uric acid levels in Lewy body disorders: associations with disease occurrence and amyloid-β pathway. J Alzheimers Dis 2011;27:119-126.
  36. Alonso A, Rodriguez LA, Logroscino G, Hernan MA: Gout and risk of Parkinson disease: a prospective study. Neurology 2007;69:1696-1700.
  37. Andreadou E, Nikolaou C, Gournaras F, Rentzos M, Boufidou F, Tsoutsou A, Zournas C, Zissimopoulos V, Vassilopoulos D: Serum uric acid levels in patients with Parkinson's disease: their relationship to treatment and disease duration. Clin Neurol Neurosurg 2009;111:724-728.
  38. Chen H, Mosley TH, Alonso A, Huang X: Plasma urate and Parkinson's disease in the Atherosclerosis Risk in Communities (ARIC) study. Am J Epidemiol 1009;169:1064-1069.
  39. Schwarzschild MA, Marek K, Eberly S, Oakes D, Shoulson I, Jennings D, Seibyl J, Ascherio A; Parkinson Study Group PRECEPT Investigators: Serum urate and probability of dopaminergic deficit in early ‘Parkinson's disease'. Mov Disord 2011;26:1864-1868.
  40. Feig DI, Kang DH, Johnson RJ: Uric acid and cardiovascular risk. N Engl J Med 2008;359:1811-1821.
  41. Cipriani S, Chen X, Schwarzschild MA: Urate: A novel biomarker of Parkinson's disease risk, diagnosis and prognosis. Biomark Med 2010;4:701-712.

 goto top of outline Author Contacts

Dr. Nikolaus R. McFarland
University of Florida
1275 Center Drive, BMS-J489, PO Box 100159
Gainesville, FL 32610 (USA)

 goto top of outline Article Information

Received: June 10, 2012
Accepted after revision: December 9, 2012
Published online: February 28, 2013
Number of Print Pages : 10
Number of Figures : 4, Number of Tables : 2, Number of References : 41

 goto top of outline Publication Details

Neurodegenerative Diseases

Vol. 12, No. 4, Year 2013 (Cover Date: October 2013)

Journal Editor: Nitsch R.M. (Zürich), Hock C. (Zürich), Rajendran L. (Zürich)
ISSN: 1660-2854 (Print), eISSN: 1660-2862 (Online)

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