Immunohistochemical study of N-epsilon-carboxymethyl lysine (CML) in human brain: relation to vascular dementia
© Southern et al.; licensee BioMed Central Ltd. 2007
Received: 07 March 2007
Accepted: 16 October 2007
Published: 16 October 2007
Advanced glycation end-products (AGEs) and their receptor (RAGE) occur in dementia of the Alzheimer's type and diabetic microvascular disease. Accumulation of AGEs relates to risk factors for vascular dementia with ageing, including hypertension and diabetes. Cognitive dysfunction in vascular dementia may relate to microvascular disease resembling that in diabetes. We tested if, among people with cerebrovascular disease, (1) those with dementia have higher levels of neuronal and vascular AGEs and (2) if cognitive dysfunction depends on neuronal and/or vascular AGE levels.
Brain Sections from 25 cases of the OPTIMA (Oxford Project to Investigate Memory and Ageing) cohort, with varying degrees of cerebrovascular pathology and cognitive dysfunction (but only minimal Alzheimer type pathology) were immunostained for N ε -(carboxymethyl)-lysine (CML), the most abundant AGE. The level of staining in vessels and neurons in the cortex, white matter and basal ganglia was compared to neuropsychological and other clinical measures.
The probability of cortical neurons staining positive for CML was higher in cases with worse cognition (p = 0.01) or a history of hypertension (p = 0.028). Additionally, vascular CML staining related to cognitive impairment (p = 0.02) and a history of diabetes (p = 0.007). Neuronal CML staining in the basal ganglia related to a history of hypertension (p = 0.002).
CML staining in cortical neurons and cerebral vessels is related to the severity of cognitive impairment in people with cerebrovascular disease and only minimal Alzheimer pathology. These findings support the possibility that cerebral accumulation of AGEs may contribute to dementia in people with cerebrovascular disease.
Advanced glycation end-products (AGEs) may contribute to the aetiology of many disease processes including Alzheimer's disease (AD) [1–9] and the vascular complications of diabetes . The microvascular changes in diabetes bear some similarity to the microvascular disease observed in patients with vascular dementia (VD) . VD shares many risk factors with AD such as age, hypertension, diabetes mellitus and hyperhomocysteinemia . Hence, VD often co-occurs with Alzheimer's disease (AD). Previous work has shown that even in cases where AD pathology is only mild, VD may promote cognitive impairment . Hence, if AGEs contribute to microvascular damage, then they may also relate to cognitive impairment. The present study tested this hypothesis.
AGEs are adducts or crosslinks which can form non-enzymatically between reducing sugars such as glucose, and other moieties such as lipids, nucleic acids or proteins. The classical pathway of AGE formation, the Maillard (browning) reaction involves a glucose-protein condensation reaction to form Schiff base adducts, which are subject to Amadori rearrangement. Some Amadori products convert to AGEs, which are characteristically fluorescent, pigmented adducts that can cross link with proteins and persist for the lifetime of the modified substrate. Examples include N ε -(carboxymethyl)-lysine (CML), pentosidine, pyrraline and crosslines A and B, all of which have been identified in brain using immunohistochemical methods [5, 8, 14].
The degree of AGE accumulation in a tissue depends on the rates of AGE formation and degradation. Hyperglycemia and oxidative stress accelerate the former, while the latter depends on the rates of protein turnover, ligation to macrophage scavenger receptors (MSR)  and renal clearance. Probably, the accumulation of AGEs during natural ageing  is due to the time-dependent nature of advanced glycation coupled with increased oxidative stress and a progressive reduction in the capacity to neutralise oxidative stress. AGEs have diverse detrimental effects. They can damage proteins directly and enhance oxidative stress via specific receptors (RAGE).
CML is the most abundant AGE in vivo . It accumulates in vascular tissue and atherosclerotic and diabetic lesions [17, 18]. Levels of CML in serum are higher in diabetics with retinopathy and microalbuminaemia than in those without these complications [19, 20]. The amount of CML detectable in cortical neurons increases with ageing  and even more so in AD [1–9]. This increased accumulation of AGEs in the brains of AD patients [5, 8, 14] may index neuronal damage due to glycation and oxidative stress.
Our present aim was to test if CML expression in the brain in elderly subjects with cerebrovascular disease relates to cognitive dysfunction. Accordingly, we analysed immunocytochemical expression of CML in cerebral neurons and blood vessel walls in autopsy samples from people with cerebrovascular disease with or without cognitive dysfunction and explored how CML expression related to presence of risk factors for vascular dementia. Since vascular and Alzheimer pathology often co-exist , to clarify the relation of cognitive impairment to AGEs requires careful control of its relation to Alzheimer pathology. To this end, we studied only samples from individuals with minimal Alzheimer pathology and we covaried the severity of that pathology. Finally, to test whether cognitive impairment relates specifically to vascular AGE staining, we studied CML staining not only in vessel walls in subcortical white matter and basal ganglia but also in neurons.
We examined formalin-fixed, paraffin-embedded sections from post-mortem samples of the frontal cortex (Brodmann area 46), and white matter and basal ganglia from 25 cases (13 male) in the Oxford Project to Investigate Memory and Ageing (OPTIMA). This is a longitudinal study of demented and non-demented people, involving over 900 subjects recruited over 18 years who underwent detailed annual clinical neuropsychological assessments . The latter included use of CAMCOG  and MMSE. Autopsy was consented to in 94% of the first 250 subjects to die. The age at death ranged from 64–92 years (mean 78.9 years). All participants gave informed consent at entry to the study and all autopsies were performed with consent from the next of kin. This study had the approval of a National Health Service local Research Ethics Committee.
Brain sections from the first 250 cases to die with autopsy consent in the OPTIMA study were assessed semi-quantitatively for Alzheimer and vascular pathology. Assessment of Alzheimer pathology followed the CERAD protocol  and Braak staging . Vascular pathology was assessed as described by Esiri et al 1997 . Presence or absence of Lewy bodies in substantia nigra and cerebral cortex was also recorded. The 25 cases studied (see additional file 1) were selected on the pathological basis that they were the first cases to die that had (1) a Braak stage of Alzheimer pathology no higher than 3  (i.e. subclinical) and their neuritic plaque scores in neocortex were insufficient to meet research criteria for the pathological diagnosis of AD ; (2) evidence of cerebrovascular disease with major or minor cerebral infarcts ± subcortical small vessel disease reflected in moderate to severe pallor in myelin-stained sections and/or one or more lacunar infarcts (Table 1 - see additional file 1); (3) no evidence of pathology of any other dementing syndrome.
Immunocytochemistry for CML
10 μm thick sections were cut from paraffin embedded frontal cortex and white matter (WM) and basal ganglia (BG) blocks and mounted on silane-coated slides. These were dewaxed in Histoclear and rehydrated through graded concentrations of ethanol to water before being treated with a 3% hydrogen peroxide solution in PBS for 30 minutes.
The sections were incubated with 3 drops of proteinase K (DAKO Kit) for 5 minutes. Proteolytic digestion is a well-documented technique used to expose the cross-linked AGE moieties and to enhance AGE immunoreactivity in the human brain . The sections were then incubated with 10% normal horse serum (Vector Laboratories) for 20 minutes to minimise non-specific binding, prior to incubation overnight at 4°C with a 1:500 dilution in tris-phosphate-buffered saline (PBS-T) of anti-CML antibody (NBS Biologicals). This is a mouse monoclonal antibody derived from a splenic lymphocyte cell line from a BALB/c mouse immunised with CML-HAS. It was purified by Protein G affinity chromatography. Sections were washed and incubated with a 1:200 dilution of secondary antibody (mouse IgG, Vector Laboratories) for 30 minutes and Vectastain ABC Kit (Vector Laboratories), a kit to amplify the process, for 45 minutes. Bound antibody was visualised with Immuno Pure Metal Enhanced DAB Substrate Kit, which included 3,3'-diaminobenzidine (DAB) metal concentrate [10x] diluted 1:10 in Stable Peroxide Buffer [1x] (CIB Perbio). After about 4 minutes in DAB solution the products began to appear and the final reaction was then stopped by washing with distilled water before the sections were counterstained with haematoxylin solution.
To confirm specificity, negative control sections were stained as above, replacing the primary antibody with PBS. As expected, these sections did not stain. As a positive control a section of hippocampus was stained (as the CA4 region has repeatedly shown strong staining for CML in elderly subjects in earlier studies . Serial sections (WM and BG) were also stained with Luxol Fast Blue, a myelin stain, and Cresyl Violet to aid anatomical location of white matter and grey matter.
The outcome measures in this study were the percentage of cortical or basal ganglia neurons immunostained for CML and the semi-quantitative scores for CML immunostaining in vessel walls. These were derived as follows: microscopic analysis was carried out blind to clinical information by one observer (LS). Ten cortical fields at ×400 magnification were viewed and the number of positive and negative nucleolated neurons counted in each field. Counts on two separate occasions of the same fields were within 10% or less of each other for 80% of fields investigated in preliminary analysis. Ten arterioles from white matter and 10 small arteries and arterioles from the sections of basal ganglia were also randomly selected for examination and the staining for CML in their walls categorised as strong (++), weak (+) or absent (-). Each category was expressed as a fraction of the vessels counted. Location of staining in the vessel walls was also recorded.
Clinical data gathering
Following the completion of microscopic analysis of the slides the following data on each case was obtained from OPTIMA patients' records: age, sex, survival, post mortem delay, history of hypertension defined as a systolic blood pressure above 140 and/or a diastolic blood pressure above 90 , diabetes status, CAMCOG score and MMSE score, both at final assessment (Table 1 - see additional file 1), though if there was severe terminal morbidity that meant scores were judged unrepresentative, then the penultimate scores were used in a few subjects. A CAMCOG score below 80 out of a maximum of 107 characterised those with dementia . The clinical dementia diagnostic categories of the cases included in the study were: mixed vascular dementia and AD (n = 8) (two of these cases had a history of stroke); vascular dementia (n = 3); probable AD (n = 1); other dementia not otherwise specified (n = 1); cognitively intact with no other neurological illness (n = 9); cognitively intact with a history of stroke (n = 1).
All analyses used the open source R  statistical language. Initial analyses of demographic data used Fisher exact and Wilcoxon-Mann-Whitney (WMW) tests. In all analyses, the α-level of significance was p < 0.05. We then analysed inter-relations between CML staining and clinical variables in two ways: (a) we modelled dependence of CML staining on clinical variables; (b) we modelled dependence of survival on CML staining.
(a) Analysis of neuronal CML staining used a repeated-measures binomial regression – an extension of the (mixed effects) generalised linear model , Generalised linear mixed modelling (GLMM) can account for the correlation of observations (here, the nesting of slides) within individuals. We implemented generalised linear mixed modelling ('lmer')  with optimisation using the Laplace approximation. This model analysed the dependence of neuronal CML immunostaining on age, sex, dementia status, MMSE, hypertension and brain region. The lmer model included random effects for individuals and brain region and evaluated the probability of staining in each cell after adjusting for the effects of sex, age, PM delay and other clinical variables. We also tested the relations of the random effects for CML staining with dementia status using Receiver Operating Characteristic (ROC) curves.
Analysis of vessel CML staining used the generalised estimating equations (GEE). This is because the ratings of CML staining were ordinal (absent, weak or strong). GEE can account for the correlation of observations within individuals.
(b) We tested the dependence of survival on CML staining using Weibull regression. These models covaried variables that can influence survival, including gender and dementia status.
Of the selected cases, 10 were clinically non-demented at time of death and 15 were demented. The non-demented cases tended, not quite significantly, to be older at death than those with dementia (WMW p = 0.07) (Table 1 - see additional file 1). Five had a history of diabetes, of whom two were demented (Table 1) (OR = 3.3, Fisher exact p = 0.31). Fifteen cases had a history of hypertension, of whom eight had dementia (OR = 1.95, Fisher exact p = 0.68). Three cases had clinical evidence of a stroke (one non-demented, two demented).
The cause of death tended, not quite significantly, to be pneumonia more often for cases with dementia than those who were non-demented (OR = 6.0, Fisher exact p = 0.07). Mean post mortem delay did not differ between demented and non-demented cases (mean = 61 hrs, range 23–144) (WMW p = 0.31). Overall vascular pathology (the sum of different types of vascular pathology) did not differ with dementia status (WMW p = 0.3), history of diabetes (WMW p = 0.68) or hypertension (WMW p = 0.31). Nor did individual type of vascular pathology relate specifically to ante mortem clinical variables (all Fisher exact ps > 0.2) (Table 1). Cases with a history of diabetes were younger than those without (WMW p = 0.005 for diabetes) and there was a similar trend for history of hypertension (WMW p = 0.08) (see Table 1).
Cortical neuronal CML immunostaining: CAMCOG scores, hypertension and survival
(b) Robust linear modelling indicated that, even after covarying Braak stage and age, Lower CAMCOG scores related to higher probability of CML staining in cortical neurons (t = -2.26, 20df, p = 0.03) and to more CML-stained vessels (t = -2.14, 20df, p = 0.044. (c) Weibull regression found no relation between the probability of cortical neuronal CML staining and survival (z = 1.08, p > 0.25)
Basal ganglia neuronal CML staining: CAMCOG scores, hypertension and survival
Vessel CML staining: CAMCOG scores and diabetes
CML expression in microvessels and cortical neurones related to clinical dementia in people in whom cerebrovascular disease was the main pathology. Our study focussed on the relationship between AGE levels and cognitive impairment by controlling concurrent Alzheimer pathology. This control greatly strengthens the support that our results give to the hypothesis that AGEs contribute to cognitive dysfunction in cerebrovascular disease.
One of the main goals of our study was to test the hypothesis of a relationship between expression of RAGE ligands, specifically, CML, in cerebral vessel walls and cognitive dysfunction in pathologically confirmed cerebrovascular disease. The present results support this hypothesis, since vascular CML staining was higher in people with clinical dementia. This relationship was present overall in our sample – all of whom had Braak stages for Alzheimer pathology of 3 or less. However, we also ensured that Alzheimer pathology did not contribute to CML staining, by covarying Braak stage. Even then, the relationship between dementia and vascular CML staining remained significant. Vascular CML staining also related to a history of diabetes, even though there were only 5 cases with diabetes in our study. This finding is consistent with previous observations that AGE/RAGE expression in small blood vessel walls and in blood correlates positively with end organ damage in clinical and experimental diabetes [31–35, 19, 20].
The other main goal of our study was to see if neuronal CML staining was related to cognitive impairment in cerebrovascular disease. We found that CML staining of cortical neurones related both to dementia and hypertension. The parallel relations of both vascular and cortical neuronal CML staining with dementia raise the possibility that microvascular pathology due to AGEs may be a proxy for their direct effects in causing cortical damage; and it is this damage which results in cognitive dysfunction. CML staining in basal ganglia neurons did not relate to dementia, but related more strongly to a history of hypertension. This is consistent with previous findings that AGE accumulation is greater in hypertension [36–39].
Even though neuronal CML staining in the basal ganglia did not relate to cognitive impairment, it did relate to survival. This raises the possibility that CML staining here may be functionally important. Possibly, some symptoms in the elderly that relate to basal ganglia dysfunction but are not caused by Parkinson's disease pathology may be due to AGE accumulation in basal ganglia neurons. A separate study would be needed to explore this possibility.
The fact that our study was small and cross-sectional makes the direction of the relationship between dementia and cortical immunostaining for CML uncertain. Our statistical analyses are consistent with the possibility that CML accumulation could, in principle, be a cause or a consequence of vascular dementia. In favour of a causative role is the ability of CML to bind to its receptor RAGE and trigger cellular activation and oxidant stress. RAGE has many other ligands and CML can bind to other receptors so, although RAGE and its ligands tend to be detected together  the relationship between CML expression and cellular consequences of RAGE activation may not be straightforward. CML and related AGEs may also be able to damage neurons because they produce alterations in affected proteins that can lead to enzyme inactivation and protein denaturation directly . Glycation of proteins also interferes with their degradation . Furthermore, damaging reactive oxygen species are a by-product of glycation [8, 17, 43, 44]. It may also result from lipid peroxidation . Therefore an alternative interpretation to CML being viewed as potentially causative in vascular dementia is that it accumulates as a consequence of ischemia/hypoxia and the accompanying oxidative stress experienced by neurons as a result of cerebrovascular disease .
If AGEs contribute to causing cognitive impairment then drugs that prevent or repair protein damage caused by glycation may provide treatment or prevention of VD . Irrespective of whether enhanced CML expression in cortical neurons is a cause or consequence of vascular dementia there is a possibility that further analysis of AGEs may assist in its diagnosis. Cerebrospinal fluid profiles of glycation adduct residues and free adducts can discriminate cases of AD from age-matched healthy subjects . A recent study has described reduced levels of soluble RAGE in plasma both in AD and vascular dementia . Further studies should test if AGE-related moieties can differentiate AD and vascular dementia.
We are indebted to Dr Catherine Joachim for her contribution to the neuropathological assessment of the cases included in this study, to Mrs Carolyn Sloan for expert technical assistance, and to Professor A David Smith, Director of OPTIMA, for his support.
We acknowledge a financial grant from the Oxford Health Services Research Committee in support of this project.
- Castellani RJ, Harris PL, Sayre LM, Fujii J, Taniguchi N, Vitek MP, Founds H, Atwood CS, Perry G, Smith MA: Active glycation in neurofibrillary pathology of Alzheimer disease: N(epsilon)-(carboxymethyl) lysine and hexitol-lysine. Free Radic Biol Med. 2001, 31 (2): 175-180. 10.1016/S0891-5849(01)00570-6.View ArticlePubMedGoogle Scholar
- Horie K, Miyata T, Yasuda T, Takeda A, Yasuda Y, Maeda K, Sobue G, Kurokawa K: Immunohistochemical localization of advanced glycation end products, pentosidine, and carboxymethyllysine in lipofuscin pigments of Alzheimer's disease and aged neurons. Biochem Biophys Res Commun. 1997, 236 (2): 327-332. 10.1006/bbrc.1997.6944.View ArticlePubMedGoogle Scholar
- Jono T, Kimura T, Takamatsu J, Nagai R, Miyazaki K, Yuzuriha T, Kitamura T, Horiuchi S: Accumulation of imidazolone, pentosidine and N(epsilon)-(carboxymethyl)lysine in hippocampal CA4 pyramidal neurons of aged human brain. Pathol Int. 2002, 52 (9): 563-571. 10.1046/j.1320-5463.2002.01390.x.View ArticlePubMedGoogle Scholar
- Kimura T, Takamatsu J, Ikeda K, Kondo A, Miyakawa T, Horiuchi S: Accumulation of advanced glycation end products of the Maillard reaction with age in human hippocampal neurons. Neurosci Lett. 1996, 208 (1): 53-56. 10.1016/0304-3940(96)12537-4.View ArticlePubMedGoogle Scholar
- Kimura T, Takamatsu J, Miyata T, Miyakawa T, Horiuchi S: Localization of identified advanced glycation end-product structures, N epsilon(carboxymethyl)lysine and pentosidine, in age-related inclusions in human brains. Pathol Int. 1998, 48 (8): 575-579.View ArticlePubMedGoogle Scholar
- Pamplona R, Dalfo E, Ayala V, Bellmunt MJ, Prat J, Ferrer I, Portero-Otin M: Proteins in human brain cortex are modified by oxidation, glycoxidation, and lipoxidation. Effects of Alzheimer disease and identification of lipoxidation targets. J Biol Chem. 2005, 280 (22): 21522-21530. 10.1074/jbc.M502255200.View ArticlePubMedGoogle Scholar
- Sasaki N, Fukatsu R, Tsuzuki K, Hayashi Y, Yoshida T, Fujii N, Koike T, Wakayama I, Yanagihara R, Garruto R, Amano N, Makita Z: Advanced glycation end products in Alzheimer's disease and other neurodegenerative diseases. Am J Pathol. 1998, 153 (4): 1149-1155.View ArticlePubMedPubMed CentralGoogle Scholar
- Smith MA, Richey PL, Taneda S, Kutty RK, Sayre LM, Monnier VM, Perry G: Advanced Maillard reaction end products, free radicals, and protein oxidation in Alzheimer's disease. Ann N Y Acad Sci. 1994, 738: 447-454.View ArticlePubMedGoogle Scholar
- Takeda A, Wakai M, Niwa H, Dei R, Yamamoto M, Li M, Goto Y, Yasuda T, Nakagomi Y, Watanabe M, Inagaki T, Yasuda Y, Miyata T, Sobue G: Neuronal and glial advanced glycation end product [Nepsilon-(carboxymethyl)lysine] in Alzheimer's disease brains. Acta Neuropathol (Berl). 2001, 101 (1): 27-35.Google Scholar
- Wolff SP, Jiang ZY, Hunt JV: Protein glycation and oxidative stress in diabetes mellitus and ageing. Free Radic Biol Med. 1991, 10 (5): 339-352. 10.1016/0891-5849(91)90040-A.View ArticlePubMedGoogle Scholar
- Esiri MM, Wilcock GK, Morris JH: Neuropathological assessment of the lesions of significance in vascular dementia. J Neurol Neurosurg Psychiatry. 1997, 63 (6): 749-753.View ArticlePubMedPubMed CentralGoogle Scholar
- Roman GC: Vascular dementia: distinguishing characteristics, treatment, and prevention. J Am Geriatr Soc. 2003, 51 (5 Suppl Dementia): S296-304. 10.1046/j.1532-5415.5155.x.View ArticlePubMedGoogle Scholar
- Esiri MM, Nagy Z, Smith MZ, Barnetson L, Smith AD: Cerebrovascular disease and threshold for dementia in the early stages of Alzheimer's disease. Lancet. 1999, 354 (9182): 919-920. 10.1016/S0140-6736(99)02355-7.View ArticlePubMedGoogle Scholar
- Ikeda K, Higashi T, Sano H, Jinnouchi Y, Yoshida M, Araki T, Ueda S, Horiuchi S: N (epsilon)-(carboxymethyl)lysine protein adduct is a major immunological epitope in proteins modified with advanced glycation end products of the Maillard reaction. Biochemistry. 1996, 35 (24): 8075-8083. 10.1021/bi9530550.View ArticlePubMedGoogle Scholar
- Ling X, Sakashita N, Takeya M, Nagai R, Horiuchi S, Takahashi K: Immunohistochemical distribution and subcellular localization of three distinct specific molecular structures of advanced glycation end products in human tissues. Lab Invest. 1998, 78 (12): 1591-1606.PubMedGoogle Scholar
- Araki N, Ueno N, Chakrabarti B, Morino Y, Horiuchi S: Immunochemical evidence for the presence of advanced glycation end products in human lens proteins and its positive correlation with aging. J Biol Chem. 1992, 267 (15): 10211-10214.PubMedGoogle Scholar
- Drinda S, Franke S, Canet CC, Petrow P, Brauer R, Huttich C, Stein G, Hein G: Identification of the advanced glycation end products N(epsilon)-carboxymethyllysine in the synovial tissue of patients with rheumatoid arthritis. Ann Rheum Dis. 2002, 61 (6): 488-492. 10.1136/ard.61.6.488.View ArticlePubMedPubMed CentralGoogle Scholar
- Kislinger T, Fu C, Huber B, Qu W, Taguchi A, Du Yan S, Hofmann M, Yan SF, Pischetsrieder M, Stern D, Schmidt AM: N(epsilon)-(carboxymethyl)lysine adducts of proteins are ligands for receptor for advanced glycation end products that activate cell signaling pathways and modulate gene expression. J Biol Chem. 1999, 274 (44): 31740-31749. 10.1074/jbc.274.44.31740.View ArticlePubMedGoogle Scholar
- Wautier MP, Massin P, Guillausseau PJ, Levy B, Boulanger E, Laloi-Michelin M, Wautier JL: N(carboxymethyl)lysine as a biomarker for microvascular complications in type 2 diabetic patients. Diabetes Metab. 2003, 29 (1): 44-52. 10.1016/S1262-3636(07)70006-X.View ArticlePubMedGoogle Scholar
- Hirata K, Kubo K: Relationship between blood levels of N-carboxymethyl-lysine and pentosidine and the severity of microangiopathy in type 2 diabetes. Endocr J. 2004, 51 (6): 537-44. 10.1507/endocrj.51.537.View ArticlePubMedGoogle Scholar
- Roth M, Huppert F, Tim E, Mountjoy C: CAMDEX. The Cambridge examination for mental disorders in the elderly. 1988, Cambridge: Cambridge University PressGoogle Scholar
- Mirra SS, Heyman A, McKeel D, Sumi SM, Crain BJ, Brownlee LM, Vogel FS, Hughes JP, van Belle G, Berg L: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease. Neurology. 1991, 41 (4): 479-486.View ArticlePubMedGoogle Scholar
- Braak H, Braak E: Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol (Berl). 1991, 82 (4): 239-259. 10.1007/BF00308809.View ArticleGoogle Scholar
- Sasaki N, Toki S, Chowei H, Saito T, Nakano N, Hayashi Y, Takeuchi M, Makita Z: Immunohistochemical distribution of the receptor for advanced glycation end products in neurons and astrocytes in Alzheimer's disease. Brain Res. 2001, 888 (2): 256-262. 10.1016/S0006-8993(00)03075-4.View ArticlePubMedGoogle Scholar
- Williams B, Poulter NR, Brown MJ, Davis M, McInnes GT, Potter JF, Sever PS, Mc GTS: Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV. J Hum Hypertens. 2004, 18 (3): 139-185. 10.1038/sj.jhh.1001683.View ArticlePubMedGoogle Scholar
- Roth M, Tym E, Mountjoy CQ, Huppert FA, Hendrie H, Verma S, Goddard R: CAMDEX. A standardised instrument for the diagnosis of mental disorder in the elderly with special reference to the early detection of dementia. Br J Psychiatry. 1986, 149: 698-709.View ArticlePubMedGoogle Scholar
- Venables W, Ripley B: Modern applied statistics with S. 2002, New York: Springer, 4View ArticleGoogle Scholar
- Breslow N, Clayton D: Approximate inference in generalized linear mixed models. J Amer Stat Assoc. 1993, 88: 9-23. 10.2307/2290687.Google Scholar
- Bates D, Sarkar D: Ime4: Linear mixed-effects models using S4 classes. R package version. 2006, 9975-9910.Google Scholar
- Kislinger T, Tanji N, Wendt T, Qu W, Lu Y, Ferran LJ, Taguchi A, Olson K, Bucciarelli L, Goova M, Hofmann MA, Cataldegirmen G, D'Agati V, Pischetsrieder M, Stern DM, Scchmidt AM: Receptor for advanced glycation end products mediates inflammation and enhanced expression of tissue factor in vasculature of diabetic apolipoprotein E-null mice. Arterioscler Thromb Vasc Biol. 2001, 21 (6): 905-910.View ArticlePubMedGoogle Scholar
- Schmidt AM, Yan SD, Wautier JL, Stern D: Activation of receptor for advanced glycation end products: a mechanism for chronic vascular dysfunction in diabetic vasculopathy and atherosclerosis. Circ Res. 1999, 84 (5): 489-497.View ArticlePubMedGoogle Scholar
- Tanji N, Markowitz GS, Fu C, Kislinger T, Taguchi A, Pischetsrieder M, Stern D, Schmidt AM, D'Agati VD: Expression of advanced glycation end products and their cellular receptor RAGE in diabetic nephropathy and nondiabetic renal disease. J Am Soc Nephrol. 2000, 11 (9): 1656-1666.PubMedGoogle Scholar
- Thomas MC, Forbes JM, Cooper ME: Advanced glycation end products and diabetic nephropathy. Am J Ther. 2005, 12 (6): 562-572. 10.1097/01.mjt.0000178769.52610.69.View ArticlePubMedGoogle Scholar
- Thornalley PJ: Glycation in diabetic neuropathy: characteristics, consequences, causes, and therapeutic options. Int Rev Neurobiol. 2002, 50: 37-57.View ArticlePubMedGoogle Scholar
- Mizutani K, Ikeda K, Tsuda K, Yamori Y: Inhibitor for advanced glycation end products formation attenuates hypertension and oxidative damage in genetic hypertensive rats. J Hypertens. 2002, 20 (8): 1607-1614. 10.1097/00004872-200208000-00024.View ArticlePubMedGoogle Scholar
- Nangaku M, Miyata T, Sada T, Mizuno M, Inagi R, Ueda Y, Ishikawa N, Yuzawa H, Koike H, van Ypersele de Strihou C, Kurokawa K: Anti-hypertensive agents inhibit in vivo the formation of advanced glycation end products and improve renal damage in a type 2 diabetic nephropathy rat model. J Am Soc Nephrol. 2003, 14 (5): 1212-1222. 10.1097/01.ASN.0000062961.76776.C1.View ArticlePubMedGoogle Scholar
- Wang X, Desai K, Clausen JT, Wu L: Increased methylglyoxal and advanced glycation end products in kidney from spontaneously hypertensive rats. Kidney Int. 2004, 66 (6): 2315-2321. 10.1111/j.1523-1755.2004.66034.x.View ArticlePubMedGoogle Scholar
- Wu L, Juurlink BH: Increased methylglyoxal and oxidative stress in hypertensive rat vascular smooth muscle cells. Hypertension. 2002, 39 (3): 809-814. 10.1161/hy0302.105207.View ArticlePubMedGoogle Scholar
- Schmidt AM, Yan SD, Stern DM: The dark side of glucose. Nat Med. 1995, 1 (10): 1002-1004. 10.1038/nm1095-1002.View ArticlePubMedGoogle Scholar
- Thornalley PJ: The enzymatic defence against glycation in health, disease and therapeutics: a symposium to examine the concept. Biochem Soc Trans. 2003, 31 (Pt 6): 1341-1342.View ArticlePubMedGoogle Scholar
- Kikuchi S, Shinpo K, Takeuchi M, Yamagishi S, Makita Z, Sasaki N, Tashiro K: Glycation–a sweet tempter for neuronal death. Brain Res Brain Res Rev. 2003, 41 (2–3): 306-323. 10.1016/S0165-0173(02)00273-4.View ArticlePubMedGoogle Scholar
- Mullarkey CJ, Edelstein D, Brownlee M: Free radical generation by early glycation products: a mechanism for accelerated atherogenesis in diabetes. Biochem Biophys Res Commun. 1990, 173 (3): 932-939. 10.1016/S0006-291X(05)80875-7.View ArticlePubMedGoogle Scholar
- Yan SD, Chen X, Schmidt AM, Brett J, Godman G, Zou YS, Scott CW, Caputo C, Frappier T, Smith MA: Glycated tau protein in Alzheimer disease: a mechanism for induction of oxidant stress. Proc Natl Acad Sci USA. 1994, 91 (16): 7787-7791. 10.1073/pnas.91.16.7787.View ArticlePubMedPubMed CentralGoogle Scholar
- Fu MX, Requena JR, Jenkins AJ, Lyons TJ, Baynes JW, Thorpe SR: The advanced glycation end product, Nepsilon-(carboxymethyl)lysine, is a product of both lipid peroxidation and glycoxidation reactions. J Biol Chem. 1996, 271 (17): 9982-9986. 10.1074/jbc.271.17.9982.View ArticlePubMedGoogle Scholar
- Ahmed N, Ahmed U, Thornalley PJ, Hager K, Fleischer G, Munch G: Protein glycation, oxidation and nitration adduct residues and free adducts of cerebrospinal fluid in Alzheimer's disease and link to cognitive impairment. J Neurochem. 2005, 92 (2): 255-263. 10.1111/j.1471-4159.2004.02864.x.View ArticlePubMedGoogle Scholar
- Emanuele E, D'Angelo A, Tomaino C, Binetti G, Ghidoni R, Politi P, Bernardi L, Maletta R, Bruni AC, Geroldi D: Circulating levels of soluble receptor for advanced glycation end products in Alzheimer disease and vascular dementia. Arch Neurol. 2005, 62 (11): 1734-1736. 10.1001/archneur.62.11.1734.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2377/7/35/prepub
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