Abstract
This commentary considers the implications of the association between albuminuria and cognitive decline described by Jassal et al. in this issue of the Journal (Am J Epidemiol. 2010;171(3):290–291). The authors report that men with albuminuria had a greater likelihood than men without albuminuria of experiencing declines in cognitive function over a 6.6-year period. Albuminuria is the result of endothelial damage in the kidney, which, in turn, is the result of microvascular disease. If one of the key mechanisms of brain microvascular disease is leakage of serum proteins into the brain extracellular space, in a fashion parallel to albuminuria that occurs in nephrosclerosis, several facets of cerebrovascular disease and cognitive decline are explained. First, brain microvascular disease would not be recognized by traditional clinical features of cerebrovascular disease because brain microvascular disease occurs gradually and insidiously. Second, the extravasation of serum proteins as a result of brain microvascular disease would account for the perivascular distribution of white matter hyperintensities on magnetic resonance imaging. Albuminuria might be a useful screening test for generalized microvascular disease and, if detected, might reasonably prompt brain imaging and more intensive therapeutic efforts to forestall further endothelial dysfunction in the kidney, brain, and elsewhere.
Keywords: aged; albuminuria; cognition; dementia; dementia, vascular
In this issue of the Journal, Jassal et al. (1) report that, in a cohort of 1,345 elders, those men with albuminuria were more likely than men without albuminuria to experience declines in cognitive function over a 6.6-year interval. The association was not found for women. Their study has a number of strengths, including its longitudinal design, large sample size, and multi-instrument cognitive assessment battery. The lack of association between albuminuria and cognitive decline in women was puzzling, and not fully explained. Nonetheless, the associations between albuminuria and cognitive decline in men were very consistent across multiple analytic approaches. The findings of Jassal et al. add to a growing body of work (2–6) that supports an association in older persons between changes in kidney function and changes in brain function. Why is it that something in the urine has anything to do with brain function? The answer lies in how and why protein gets into the urine.
More so than glomerular filtration rate, the relation between microalbuminuria and vascular diseases of the kidney holds unique insights relevant to cerebrovascular disease. Both the brain and the kidney are highly vascular structures that respond to diseases such as hypertension and diabetes mellitus in similar ways at the microscopic level. In nephrosclerosis, gradual alterations in the kidney endothelial cells, glomeruli, and interstitial spaces lead to glomerular leakage of serum proteins into the urine (7, 8). If a similar process were occurring at the endothelial level in brain microvessels, serum proteins would pass into the brain extracellular space. Neuropathologic studies show that white matter hyperintensities represent enlarged perivascular spaces and perivascular demyelination (9). These changes are what one might expect if the brain extracellular spaces were exposed to proinflammatory proteins that, in health, should remain inside the vascular space. While there is no direct proof that this process occurs, my colleagues and I (10) and others (11, 12) have previously shown that white matter hyperintensities are indeed associated with microalbuminuria.
The association of albuminuria and cognition has much broader implications for understanding the role of cerebrovascular disease in late-life cognitive impairment. Cerebrovascular disease has long been recognized as playing some role in dementia. The consensus view has swung from the era of “hardening of the arteries” to a period when there was frank disdain for the notion that cerebrovascular disease played any important role at all. Now, the consensus view is that cerebrovascular disease plays some role in late-life dementia, but just how much is very difficult to define (13). Brain microvascular disease is relatively common neuropathologically (14–17). However, in epidemiologic studies (18), the number of cases of dementia that can be labeled as substantially stroke related is rather small. One reason for the low detection rate in clinical studies is the well-recognized lack of sensitivity of clinical markers of stroke-related dementia (19–22). A history of stroke causing cognitive impairment and the presence of infarcts on imaging are simply insensitive for identifying those patients with genuine cerebrovascular pathology.
One hypothesis for why markers of overt cerebrovascular disease are insensitive is that macrovascular disease is only part of the picture. Microvascular disease of the brain is not being captured in clinical diagnostic assessments because it does not cause overt strokes and infarcts visible on neuroimaging. Brain microvascular disease, like microvascular disease of the kidney, is associated with conditions such as diabetes and hypertension. However, assigning a cerebrovascular etiology to a patient with progressive cognitive impairment on the basis of the presence of vascular risk factors is far too nonspecific. Very mild or benign forms of glucose intolerance or hypertension may have no material impact on brain or kidney microvascular structure and function. Markers of brain microvascular disease that are both specific and sensitive are badly needed.
This is where microalbuminuria as a result of nephrosclerosis fits in: because the kidney is exposed to the same vascular pathophysiologic processes as the brain in diseases such as diabetes, hypertension, or hypercholesterolemia conditions, the kidney is telling us what is happening in the brain. Brain microvascular disease alters brain structure by virtue of the consequences of endothelial disease and extravasation of blood proteins into the brain extracellular spaces. This process occurs gradually but steadily and eventually leads to cognitive decline. There is nothing stroke-like in the insidious appearance of microvascular disease in the brain. Moreover, the changes on neuroimaging are not those of large infarcts. White matter hyperintensities and lacunar infarction—visible lesions that are more closely related to brain microvascular disease than large-vessel distribution infarcts—appear in a clinically silent fashion, just as nephrosclerosis does.
The endothelial dysfunction–serum protein extravasation hypothesis addresses at least one way that microvascular disease could cause brain injury. However, the evidence does not address the quantitative impact of brain microvascular disease on cognition. The rate of cognitive change observed in nondemented persons in the study of Jassal et al. (1) may not proceed linearly. The amount of cognitive impairment attributable to microvascular disease could accelerate if the protein extravasation process itself induced further vascular injury. On the other hand, the microvascular-related cognitive impairment could decelerate if glucose intolerance or high blood pressure ameliorated with aging. Future studies of the role of brain microvascular disease in late-life dementia are going to have to use a direct measure of microvascular disease that captures the pathology more precisely than current neuroimaging. Diffusion tensor imaging may be one strategy to better assess the impact of microvascular disease on brain white matter (23). Diffusion tensor imaging detects changes in normal-appearing white matter and might therefore be more sensitive and specific than white matter hyperintensities for pathology (23). Noninvasive measurements of cerebral blood flow in response to physiologic challenges (24) might be another strategy. At the same time, amyloid imaging to gauge the burden of Alzheimer pathology would be necessary as well to promote understanding of the unique impact of microvascular disease on cognition.
The basis for the link between albuminuria and brain dysfunction needs much more investigation. Vascular risk factors themselves are associated with cognitive decline (25–28). There is evidence directly linking diabetes to Alzheimer pathology (29), and there are similar data on hypertension (30). It is possible that the associations between cognition and albuminuria observed by Jassal et al. (1) were simply a result of shared variance with other vascular risk factors and not specific to the pathophysiology of microalbuminuria. The authors’ own analyses did not support such an interpretation, however. Parsimony makes it at least plausible that diabetes and hypertension act on the same vascular mechanisms in all vascular beds. Endothelial dysfunction is a plausible common denominator for both brain and kidney.
Albuminuria can be measured easily and inexpensively. In contrast, whereas brain magnetic resonance imaging is noninvasive, it is hardly inexpensive. Therefore, with the increasing evidence for an association between albuminuria and brain health, a clinically relevant outcome of the current study is that albuminuria could prove to be a useful initial screening test for the presence of generalized endothelial dysfunction and could prompt further investigations of the brain. Mechanistically, the processes leading to microalbuminuria tell us something very worthwhile about potential parallel processes in the brain. Early detection of brain endothelial dysfunction could lead to meaningful interventions far before overt cognitive deterioration occurred.
Acknowledgments
Author affiliation: Department of Neurology, Mayo Clinic, Rochester, Minnesota.
Supported by grants U01 AG 06786 (Mayo Alzheimer's Disease Patient Registry), P50 AG 16574 (Mayo Alzheimer's Disease Research Center) from the National Institute on Aging, and the Robert H. and Clarice Smith and Abigail Van Buren Alzheimer's Disease Research Program.
The author serves on a data safety monitoring board for Eli Lilly and Company (Indianapolis, Indiana) and is an investigator for clinical trials sponsored by Baxter Pharmaceuticals (Deerfield, Illinois), Elan Pharmaceuticals, Inc. (Dublin, Ireland), and Forest Pharmaceuticals (St. Louis, Missouri). He served as a one-time consultant to GlaxoSmithKline (Middlesex, United Kingdom) for an anti-Alzheimer disease agent. He is an Associate Editor of Neurology, for which he receives compensation from the American Academy of Neurology (St. Paul, Minnesota).
References
- 1.Jassal SK, Kritz-Silverstein D, Barrett-Connor E. A prospective study of albuminuria and cognitive function in older adults: the Rancho Bernardo Study. Am J Epidemiol. 2010;171(3):277–286. doi: 10.1093/aje/kwp426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Buchman AS, Tanne D, Boyle PA, et al. Kidney function is associated with the rate of cognitive decline in the elderly. Neurology. 2009;73(12):920–927. doi: 10.1212/WNL.0b013e3181b72629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ikram MA, Vernooij MW, Hofman A, et al. Kidney function is related to cerebral small vessel disease. Stroke. 2008;39(1):55–61. doi: 10.1161/STROKEAHA.107.493494. [DOI] [PubMed] [Google Scholar]
- 4.Barzilay JI, Fitzpatrick AL, Luchsinger J, et al. Albuminuria and dementia in the elderly: a community study. Am J Kidney Dis. 2008;52(2):216–226. doi: 10.1053/j.ajkd.2007.12.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Khatri M, Wright CB, Nickolas TL, et al. Chronic kidney disease is associated with white matter hyperintensity volume: the Northern Manhattan Study (NOMAS) Stroke. 2007;38(12):3121–3126. doi: 10.1161/STROKEAHA.107.493593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Abbatecola AM, Barbieri M, Rizzo MR, et al. Arterial stiffness and cognition in elderly persons with impaired glucose tolerance and microalbuminuria. J Gerontol A Biol Sci Med Sci. 2008;63(9):991–996. doi: 10.1093/gerona/63.9.991. [DOI] [PubMed] [Google Scholar]
- 7.Cohen EP. Chronic renal failure and dialysis. In: Dale DC, Federman DD, editors. ACP Medicine, 2006 Edition. New York, NY: American College of Physicians; 2006. pp. 2031–2042. [Google Scholar]
- 8.Kashgarian M. Hypertensive disease and kidney structure. In: Laragh JH, Brenner BM, editors. Hypertension: Pathophysiology, Diagnosis and Management. 2nd ed. New York, NY: Raven Press, Ltd; 1995. pp. 433–443. [Google Scholar]
- 9.Fazekas F, Kapeller P, Schmidt R, et al. The relation of cerebral magnetic resonance signal hyperintensities to Alzheimer's disease. J Neurol Sci. 1996;142(1-2):121–125. doi: 10.1016/0022-510x(96)00169-4. [DOI] [PubMed] [Google Scholar]
- 10.Knopman DS, Mosley TH, Jr, Bailey KR, et al. Associations of microalbuminuria with brain atrophy and white matter hyperintensities in hypertensive sibships. J Neurol Sci. 2008;271(1-2):53–60. doi: 10.1016/j.jns.2008.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wada M, Nagasawa H, Kurita K, et al. Microalbuminuria is a risk factor for cerebral small vessel disease in community-based elderly subjects. J Neurol Sci. 2007;255(1-2):27–34. doi: 10.1016/j.jns.2007.01.066. [DOI] [PubMed] [Google Scholar]
- 12.Weiner DE, Bartolomei K, Scott T, et al. Albuminuria, cognitive functioning, and white matter hyperintensities in homebound elders. Am J Kidney Dis. 2009;53(3):438–447. doi: 10.1053/j.ajkd.2008.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Knopman DS. Dementia and cerebrovascular disease. Mayo Clin Proc. 2006;81(2):223–230. doi: 10.4065/81.2.223. [DOI] [PubMed] [Google Scholar]
- 14.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. doi: 10.1136/jnnp.63.6.749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.White L, Petrovitch H, Hardman J, et al. Cerebrovascular pathology and dementia in autopsied Honolulu-Asia Aging Study participants. Ann N Y Acad Sci. 2002;977:9–23. doi: 10.1111/j.1749-6632.2002.tb04794.x. [DOI] [PubMed] [Google Scholar]
- 16.Vinters HV, Ellis WG, Zarow C, et al. Neuropathologic substrates of ischemic vascular dementia. J Neuropathol Exp Neurol. 2000;59(11):931–945. doi: 10.1093/jnen/59.11.931. [DOI] [PubMed] [Google Scholar]
- 17.Thal DR, Ghebremedhin E, Orantes M, et al. Vascular pathology in Alzheimer disease: correlation of cerebral amyloid angiopathy and arteriosclerosis/lipohyalinosis with cognitive decline. J Neuropathol Exp Neurol. 2003;62(12):1287–1301. doi: 10.1093/jnen/62.12.1287. [DOI] [PubMed] [Google Scholar]
- 18.Lobo A, Launer LJ, Fratiglioni L, et al. Prevalence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group. Neurology. 2000;54(11 suppl 5):S4–S9. [PubMed] [Google Scholar]
- 19.Wetterling T, Kanitz RD, Borgis KJ. Comparison of different diagnostic criteria for vascular dementia (ADDTC, DSM-IV, ICD-10, NINDS-AIREN) Stroke. 1996;27(1):30–36. doi: 10.1161/01.str.27.1.30. [DOI] [PubMed] [Google Scholar]
- 20.Pohjasvaara T, Mäntylä R, Ylikoski R, et al. Comparison of different clinical criteria (DSM-III, ADDTC, ICD-10, NINDS-AIREN, DSM-IV) for the diagnosis of vascular dementia. National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l'Enseignement en Neurosciences. Stroke. 2000;31(12):2952–2957. doi: 10.1161/01.str.31.12.2952. [DOI] [PubMed] [Google Scholar]
- 21.Gold G, Giannakopoulos P, Montes-Paixao C, Jr, et al. Sensitivity and specificity of newly proposed clinical criteria for possible vascular dementia. Neurology. 1997;49(3):690–694. doi: 10.1212/wnl.49.3.690. [DOI] [PubMed] [Google Scholar]
- 22.Knopman DS, Parisi JE, Boeve BF, et al. Vascular dementia in a population-based autopsy study. Arch Neurol. 2003;60(4):569–576. doi: 10.1001/archneur.60.4.569. [DOI] [PubMed] [Google Scholar]
- 23.Vernooij MW, Ikram MA, Vrooman HA, et al. White matter microstructural integrity and cognitive function in a general elderly population. Arch Gen Psychiatry. 2009;66(5):545–553. doi: 10.1001/archgenpsychiatry.2009.5. [DOI] [PubMed] [Google Scholar]
- 24.Lipsitz LA, Mukai S, Hamner J, et al. Dynamic regulation of middle cerebral artery blood flow velocity in aging and hypertension. Stroke. 2000;31(8):1897–1903. doi: 10.1161/01.str.31.8.1897. [DOI] [PubMed] [Google Scholar]
- 25.Breteler MM, Bots ML, Ott A, et al. Risk factors for vascular disease and dementia. Haemostasis. 1998;28(3-4):167–173. doi: 10.1159/000022428. [DOI] [PubMed] [Google Scholar]
- 26.Kuller LH, Lopez OL, Newman A, et al. Risk factors for dementia in the Cardiovascular Health Cognition Study. Neuroepidemiology. 2003;22(1):13–22. doi: 10.1159/000067109. [DOI] [PubMed] [Google Scholar]
- 27.Luchsinger JA, Reitz C, Honig LS, et al. Aggregation of vascular risk factors and risk of incident Alzheimer disease. Neurology. 2005;65(4):545–551. doi: 10.1212/01.wnl.0000172914.08967.dc. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Whitmer RA, Sidney S, Selby J, et al. Midlife cardiovascular risk factors and risk of dementia in late life. Neurology. 2005;64(2):277–281. doi: 10.1212/01.WNL.0000149519.47454.F2. [DOI] [PubMed] [Google Scholar]
- 29.Craft S, Watson GS. Insulin and neurodegenerative disease: shared and specific mechanisms. Lancet Neurol. 2004;3(3):169–178. doi: 10.1016/S1474-4422(04)00681-7. [DOI] [PubMed] [Google Scholar]
- 30.Petrovitch H, White LR, Izmirilian G, et al. Midlife blood pressure and neuritic plaques, neurofibrillary tangles, and brain weight at death: the HAAS. Honolulu-Asia Aging Study. Neurobiol Aging. 2000;21(1):57–62. doi: 10.1016/s0197-4580(00)00106-8. [DOI] [PubMed] [Google Scholar]