INTRODUCTION: @entity1 @entity6249 ( @entity6249 ) has been hypothesized to be an age-dependent disease accompanied by similar vascular changes in other organs. SHRSP feature numerous vascular risk factors and may be a valid model of some aspects of @entity1 @entity6249 . Here we compare renal histopathological changes with the brain pathology of spontaneously @entity101 @entity64 -prone @entity35 (SHRSP). MATERIAL AND METHODS: We histologically investigated the brains and kidneys of 61 SHRSP at different stages of age (12 to 44 weeks). The brain pathology (aggregated erythrocytes in capillaries and arterioles, microbleeds, microthromboses) and the kidney pathology (aggregated erythrocytes within peritubular capillaries, tubular protein cylinders, @entity631 ) were quantified separately. The prediction of the brain pathology by the kidney pathology was assessed by creating ROC-curves integrating the degree of kidney pathology and age of SHRSP. RESULTS: Both, brain and kidney pathology, show an age-dependency and proceed in definite stages whereas an aggregation of erythrocytes in capillaries and arterioles, we parsimoniously interpreted as stases, represent the initial finding in both organs. Thus, early renal @entity16 characterized by rather few intravasal erythrocyte aggregations and tubular protein cylinders predicts the initial step of SHRSPs' cerebral vascular pathology marked by accumulated erythrocytes. The combined increase of intravasal erythrocyte aggregations and protein cylinders accompanied by @entity631 and @entity9818 in kidneys of older SHRSP predicts the final stages of SHRSPs' @entity75 marked by microbleeds and @entity1188 . CONCLUSION: Our results illustrate a close association between structural brain and kidney pathology and support the concept of small vessel disease to be an age-dependent systemic pathology. Further, an improved joined nephrologic and neurologic diagnostic may help to identify @entity1 with @entity6249 at an early stage.

Kidney pathology precedes and predicts the pathological cascade of @entity75 in @entity64 prone XXXX .

@entity1 :: ('9606', 'Species') :: ['human', 'patients', 'Human'] @entity9818 :: ('MESH:D057049', 'Disease') :: ['thrombotic renal microangiopathy'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertensive'] @entity6249 :: ('MESH:D059345', 'Disease') :: ['cerebral small vessel disease', 'CSVD'] @entity75 :: ('MESH:D001927', 'Disease') :: ['cerebrovascular lesions'] @entity16 :: ('MESH:D009422', 'Disease') :: ['tubulointerstitial damage'] @entity1188 :: ('MESH:D007238', 'Disease') :: ['thrombotic infarcts'] @entity35 :: ('10116', 'Species') :: ['rats'] @entity631 :: ('MESH:D005921', 'Disease') :: ['glomerulosclerosis']
@entity35 :: (10116,Species) :: ['rats']
