Principal components analysis of Alzheimer’s disease based on neuropathological data: A study of 79 patients

A Principal Components Analysis of neuropathological data from 79 Alzheimer’s disease (AD) cases was performed to determine whether there was evidence for subtypes of the disease. Two principal components were extracted from the data which accounted for 72% and 12% of the total variance respectively. The results suggested that 1) AD was heterogeneous but subtypes could not be clearly defined; 2) the heterogeneity, in part, reflected disease onset; 3) familial cases did not constitute a distinct subtype of AD and 4) there were two forms of late onset AD, one of which was associated with less senile plaque and neurofibrillary tangle development but with a greater degree of brain atherosclerosis.

Clustering patterns of neurofibrillary tangles in Alzheimer’s disease

Clustering of cellular neurofibrillary tangles (NFT) was studied in the cerebral cortex and hippocampus in cases of Alzheimer’s disease (AD) using a regression method. The objective of the study was to test the hypothesis that clustering of NFTs reflects the degeneration of the cortico-cortical pathways. In 25/38 (66%) of analyses of individual brain areas, a significant peak to trough and peak to peak distance was obtained suggesting that the clusters of NFTs were regularly distributed in bands parallel to the tissue boundary. In analyses of cortical tissues with regularly distributed clusters, peak to peak distance was between 1000 and 1600 microns in 13/24 (54%) of analyses, >1600 microns in 10/24 (42%) and <1000 microns in 1/24 (4%) of analyses. A regular distribution of NFT clusters was less evident in the CA sectors of the hippocampus than in the cortex. Hence, in a significant proportion of brain areas, the spacing of NFT clusters along the cerebral cortex was consistent with the predicted distribution of the cells of origin of specific cortico-cortical projections. However, in many brain regions, the sizes of the NFT clusters were larger than predicted which may be attributable to the spread of NFTs to adjacent groups of cells as the disease progresses.

The spatial patterns of Pick bodies, Pick cells and Alzheimer’s disease pathology in Pick’s disease

The spatial patterns of Pick bodies (PB), Pick cells (PC), senile plaques (SP) and neurofibrillary tangles (NFT) were studied in the frontal and temporal lobe in nine cases of Pick’s disease (PD). Pick bodies exhibited clustering in 41/44 (93%) of analyses and clusters of PB were regularly distributed parallel to the tissue boundary in 24/41 (58%) of analyses. Pick cells exhibited clustering with regular periodicity of clusters in 14/16 (88%) analyses, SP in three out of four (75%) analyses and NFT in 21/27 (78%) analyses. The largest clusters of PB were observed in the dentate gyrus and PC in the frontal cortex. In 10/17 (59%) brain areas studied, a positive or negative correlation was observed between the densities of PB and PC. The densities of PB and NFT were not significantly correlated in the majority of brain areas but a negative correlation was observed in 7/29 (24%) brain areas. The data suggest that PB and PC in patients with PD exhibit essentially the same spatial patterns as SP and NFT in Alzheimer’s disease (AD) and Lewy bodies (LB) in dementia with Lewy bodies (DLB). In addition, there was a spatial correlation between the clusters of PB and PC, suggesting a pathogenic relationship between the two lesions. However, in the majority of tissues examined there was no spatial correlation between the clusters of PB and NFT, suggesting that the two lesions develop in association with different populations of neurons.

Degeneration of cortical neurons associated with diffuse beta-amyloid (Abeta) deposits in Alzheimer’s disease

The frequency of morphological abnormalities in neuronal perikarya which were in contact with diffuse beta-amyloid (Abeta) deposits in patients with Alzheimer’s disease (AD) was compared with neurons located adjacent to the deposits. Morphological abnormalities were also studied in elderly, non-demented (ND) cases with and without diffuse Abeta deposits. In AD and ND cases with Abeta deposits, an increased proportion of neurons in contact with diffuse deposits exhibited at least one abnormality compared with neurons located adjacent to the deposits. Neurons in contact with diffuse deposits exhibited a greater frequency of abnormalities of shape, nuclei, nissl substance and had a higher frequency of cytoplasmic vacuoles compared with adjacent neurons. A greater frequency of abnormalities of shape, nissl substance and in the frequency of displaced nuclei were also observed in neurons adjacent to diffuse deposits in AD compared with ND cases. With the exception of absent nuclei, morphological abnormalities adjacent to diffuse deposits in ND cases were similar to those of ND cases without Abeta deposits. These results suggest that neuronal degeneration is associated with the earliest stages of Abeta deposit formation and is not specifically related to the formation of mature senile plaques.

Is neuropathological heterogeneity in Alzheimer’s disease related to apolipoprotein genotype?

The abundance of senile plaques (SP) and neurofibrillary tangles (NFT) was studied in cortical and subcortical regions from 30 patients with Alzheimer’s disease (AD) expressing different apolipoprotein E (apoE) genotypes. Principal components analysis (PCA) was used to identify the most important neuropathological variations between individual patients and to determine whether these variations were related to apoE genotype. The first two principal components (PC) accounted for 60% and 40% of the total variance of the SP and NFT data respectively. The abundance of SP in the frontal and occipital cortex and NFT in the frontal cortex, amygdala and substantia nigra were positively correlated with the first principal component (PC1). Analysis of the SP data revealed that the apoE score of the patient (the sum of the two alleles) was positively correlated with PC1 while analysis of the NFT data revealed no significant correlations between apoE score and the PC. The data suggest that apoE genotype was more closely related to variations in the distribution and abundance of SP than of NFT. In addition, a more rapid spread of SP into the frontal and occipital cortex may occur in patients with a high apoE score.

The spatial pattern of beta-amyloid (Abeta) deposits in Alzheimer’s disease patients is related to apolipoprotein genotype

The spatial patterns of the diffuse, primitive, and classic beta-amyloid (Abeta) deposits was studied in the frontal and temporal cortex in cases of Alzheimer’s disease (AD) expressing different apolipoprotein (Apo E) genotypes. No significant differences in the density of the three Abeta deposit subtypes were observed in individuals expressing genotypes e2/3 and e3/3 compared with those expressing e3/4 and e4/4. In all patients, Abeta deposit subtypes occurred in the tissue in clusters. Chi-square contingency analyses of the data suggested that the cluster size of the diffuse and classic Abeta deposits was unrelated to Apo E genotype. However, the primitive (‘neuritic’) type Abeta deposits occurred more frequently in smaller, denser clusters in individuals expressing genotypes e3/4 and e4/4 compared with those expressing e2/3 and e3/3. Hence, the presence of the e4 allele may be associated with a more specific pattern of neuronal degeneration in the frontal and temporal cortex in AD.

Size distribution curves of senile plaques in patients with Alzheimer’s disease: do plaques grow according to the log-normal model?

The size frequency distributions of diffuse, primitive and cored senile plaques (SP) were studied in single sections of the temporal lobe from 10 patients with Alzheimer’s disease (AD). The size distribution curves were unimodal and positively skewed. The size distribution curve of the diffuse plaques was shifted towards larger plaques while those of the neuritic and cored plaques were shifted towards smaller plaques. The neuritic/diffuse plaque ratio was maximal in the 11 – 30 micron size class and the cored/ diffuse plaque ratio in the 21 – 30 micron size class. The size distribution curves of the three types of plaque deviated significantly from a log-normal distribution. Distributions expressed on a logarithmic scale were ‘leptokurtic’, i.e. with excess of observations near the mean. These results suggest that SP in AD grow to within a more restricted size range than predicted from a log-normal model. In addition, there appear to be differences in the patterns of growth of diffuse, primitive and cored plaques. If neuritic and cored plaques develop from earlier diffuse plaques, then smaller diffuse plaques are more likely to be converted to mature plaques.

Is beta-amyloid (Abeta) deposition in the frontal cortex of patients with Alzheimer’s disease related to blood vessels?

The density of the diffuse, primitive and classic beta-amyloid (Abeta) deposits and the incidence of large and small diameter blood vessels was studied in the upper laminae of the frontal cortex of 10 patients with sporadic Alzheimer’s disease (AD). The data were analysed using the partial correlation coefficient to determine whether variations in the density of Abeta deposit subtypes along the cortex were related to blood vessels. Significant correlations between the density of the diffuse or primitive Abeta deposits and blood vessels were found in only a small number of patients. However, the classic Abeta deposits were positively correlated with the large blood vessels in all 10 patients, the correlations remaining when the effects of gyral location and mutual correlations between Abeta deposits were removed. These results suggest that the larger blood vessels are involved specifically in the formation of the classic Abeta deposits and are less important in the formation of the diffuse and primitive deposits.

Beta-amyloid (Abeta) deposits and blood vessels: laminar distribution in the frontal cortex of patients with Alzheimer’s disease

The laminar distribution of diffuse, primitive and classic beta-amyloid (Abeta) deposits and blood vessels was studied in the frontal cortex of patients with Alzheimer’s disease (AD). In most patients, the density of the diffuse and primitive Abeta deposits was greatest in the upper cortical layers and the classic deposits in the deeper cortical layers. The distribution of the larger blood vessels (>10 micron in diameter) was often bimodal with peaks in the upper and deeper cortical layers. The incidence of capillaries (<10 micron) was significantly higher in the deeper cortical layers in most patients. Multiple regression analysis selected vertical distance below the pia mater as the most significant factor correlated with the Abeta deposit density. With the exception of the classic deposits in two patients, there was no evidence that these vertical distributions were related to laminar variations in the incidence of large or small blood vessels.

The levels of neopterin, biopterin and the neopterin/biopterin ratio in urine from control subjects and patients with Alzheimer’s disease and Down’s syndrome

The levels of neopterin, biopterin and the neopterin/biopterin ratio (N/B) were measured in urine samples taken from normal young and elderly control subjects, exceptionally healthy elderly control subjects classified according to the ‘Senieur’ protocol and patients with Down’s syndrome (DS) or Alzheimer’s disease (AD). The N/B ratio was approximately unity in control groups with the exception of the normal elderly controls. The levels of neopterin and biopterin declined with age in the exceptionally healthy ‘Senieur’ control group. The N/B ratio was elevated in young and old DS patients as a result of the significant increase in neopterin. Neopterin levels were significantly elevated in AD patients compared with the healthy elderly controls, but this did not result in a significant increase in the N/B ratio in these patients. The N/B ratio increased with age in AD patients as a result of a decline in biopterin. These results suggested that there is a cellular immune reponse in DS and AD patients which in DS, may precede the formation of beta-amyloid deposits in the brain. In addition, there may be a deficiency in tetrahydrobiopterin biosynthesis in AD which becomes more marked with age.

The spatial patterns of beta-amyloid (Abeta) deposits in elderly non-demented patients and patients with Alzheimer’s disease

The spatial patterns of diffuse, primitive, classic and compact beta-amyloid (Abeta) deposits were studied in the medial temporal lobe in 14 elderly, non-demented patients (ND) and in nine patients with Alzheimer’s disease (AD). In both patient groups, Abeta deposits were clustered and in a number of tissues, a regular periodicity of Abeta deposit clusters was observed parallel to the tissue boundary. The primitive deposit clusters were significantly larger in the AD cases but there were no differences in the sizes of the diffuse and classic deposit clusters between patient groups. In AD, the relationship between Abeta deposit cluster size and density in the tissue was non-linear. This suggested that cluster size increased with increasing Abeta deposit density in some tissues while in others, Abeta deposit density was high but contained within smaller clusters. It was concluded that the formation of large clusters of primitive deposits could be a factor in the development of AD.

Elevated urinary neopterin suggests immune activation in Alzheimer’s disease and Down’s syndrome

Neopterin, an unconjugated pteridine, is secreted in large quantities by activated macrophages and can be used as a clinical marker of activated cellular immunity in a patient. Hence, neopterin levels were measured in urine samples taken from patients with Down’s syndrome (DS), non-hospitalized and hospitalized Alzheimer’s disease (AD) and age and sex matched controls. All subjects and patients were free from infectious and malignant disease. A significant effect of age on urinary neopterin levels was found in control subjects, levels being greater in younger and older subjects. No significant trends with age were found in AD and DS patients. The mean level of neopterin was significantly increased in DS and AD compared with age matched controls suggesting immune activation in these patients. In DS, elevated neopterin levels were present in individuals at least 17yrs old suggesting that immune activation could be associated with the initial deposition of beta/A4 in the brain.

Relationships between morphological types of plaque in Alzheimer’s disease as revealed in silver and immunostained preparations

The objective of this study was to determine the possible relationships between the morphological types of plaque revealed in silver and immunostained sections of Alzheimer’s disease (AD) tissue. The density of cored and uncored senile plaques in Glees and Marsland preparations, and of diffuse, primitive, classic and compact beta/A4 deposits in immunostained preparations were estimated. A principal components analysis (PCA) of the data suggested that three uncorrelated principal components accounted for 80% of the variation in lesion density in the tissues. This suggested that thee processes lead independently to the formation of: (1) the uncored Glees plaques; (2) the primitive beta/A4 deposits and most of the classic beta/A4 deposits and (3) the compact beta/A4 deposits and the remaining classic deposits. Hence, the uncored plaques revealed by the Glees stain and the primitive beta/A4 deposits represented distinct plaque populations. In addition, the classic beta/A4 deposits did not appear to represent a uniform plaque population but to originate from at least two pathological processes. The uncored Glees plaques appeared to the only plaque population closely related to the diffuse beta/A4 deposits.

The relationship between senile plaques, neurofibrillary tangles and amyloid (A4) deposits in Alzheimer’s disease: A Principal Components Analysis

A Principal Components Analysis (PCA) was carried out on the density of lesions revealed by different stains in a total of 47 brain regions from six elderly patients with Alzheimer’s disease (AD). The aim was to determine the relationships between the density of senile plaques (SP) revealed by the Glees and Gallyas stains and A4 deposits and between the plaques and neurofibrillary tangles (NFT) in the same brain region. The analysis indicated that the populations of plaques revealed by the Glees and Gallyas stains were closely related to the A4 protein deposits but none of the lesions were related to NFT. The data suggest: 1) that neocortical regions differ from the hippocampus in the relative development of A4 and NFT; the former having more A4 deposits and the latter more NFT and 2) that the processes that lead to the formation of SP and NFT occur independently of each other in the same brain region.

Alzheimer’s disease and the eye

Dementia, including Alzheimer’s disease (AD), is a major disorder causing visual problems in the elderly population. The pathology of AD includes the deposition in the brain of abnormal aggregates of ß-amyloid (Aß) in the form of senile plaques (SP) and abnormally phosphorylated tau in the form of neurofibrillary tangles (NFT). A variety of visual problems have been reported in patients with AD including loss of visual acuity (VA), colour vision and visual fields; changes in pupillary response to mydriatics, defects in fixation and in smooth and saccadic eye movements; changes in contrast sensitivity and in visual evoked potentials (VEP); and disturbances of complex visual functions such as reading, visuospatial function, and in the naming and identification of objects. Many of these changes are controversial with conflicting data in the literature and no ocular or visual feature can be regarded as particularly diagnostic of AD. In addition, some pathological changes have been observed to affect the eye, visual pathway, and visual cortex in AD. The optometrist has a role in helping a patient with AD, if it is believed that signs and symptoms of the disease are present, so as to optimize visual function and improve the quality of life. (J Optom 2009;2:103-111 ©2009 Spanish Council of Optometry)