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. Author manuscript; available in PMC: 2024 Jun 1.
Published in final edited form as: Alzheimers Dement. 2022 Dec 19;19(6):2605–2617. doi: 10.1002/alz.12896

Amyloid futures in the expanding pathology of brain aging and dementia

Max A Thorwald 1, Justine Silva 2, Elizabeth Head 2,3, Caleb E Finch 1,4
PMCID: PMC10271937  NIHMSID: NIHMS1851507  PMID: 36536382

Abstract

PET imaging studies of AD patients show progressive increases of fibrillar Aβ- amyloid. Because current PET ligands underestimate non-fibrillar forms, we assayed soluble Aβ in AD and controls. To identify mechanisms responsible for soluble Aβ in AD brains, we examined lipid rafts (LR), where APP is enzymatically processed. Frontal cortex was compared with cerebellum, which has minimal AD pathology. Compared with cognitively normal controls (Braak 0–1), elevations of soluble Aβ40 and Aβ42 were similar for intermediate and later stage AD (Braak 2–3 and 4–6). Clinical grade AD had greater increase of soluble Aβ40 than Aβ42 relative to CTL. LR raft yield per gram AD frontal cortex was 20% below controls, while cerebellar LR did not differ by Braak score. The extensive overlap of soluble Aβ levels in controls with AD contrasts with the PET findings on fibrillar Aβ. These findings further support fibrillar Aβ as a biomarker for AD treatments and show the need for more detailed postmortem analysis of diverse soluble and insoluble Aβ aggregates in relation to PET.

Narrative.

Amyloidogenic peptides are strongly associated with AD neurodegeneration, but little is known about the relationships of these peptides to ‘normal brain aging’, which begins decades before signs of cognitive decline and dementia. Two hypotheses are proposed: 1) Because age-matched controls are shown here to have high levels of soluble Aβ, we hypothesize that non-fibrillar β-amyloid peptides increase decades before AD in the cognitively normal. Analysis of lipid rafts, the site of amyloid precursor protein (APP) processing [1], shows decreased β-amyloid peptide formation in AD frontal cortex relative to age-matched controls. 2) Because the β-amyloid peptide transporter low density lipoprotein receptor-related protein 1 (LRP1) is also decreased in AD [2,3], we further hypothesize that impaired β-amyloid peptide clearance, rather than increased synthesis is a key to the elevations of toxic amyloids in both normal aging and clinical dementia.

In 1854 Rudolph Virchow observed macroscopic structures in brain tissue resembling starch and named them amyloid derived from the Latin word amylum and Greek amylon [4]. These structures were soon resolved by Friedreich and Kekulé as protein rather than starch [5]. The six recent decades of research on brain amyloids definitively show fibrillary β-amyloid protein in senile plaques. The β-amyloid fibrils were then characterized as aggregates of so-named β-amyloid peptides containing 38–43 amino acids, primarily Aβ40 and Aβ42 [6]. Neurofibrillary tangles (NFT) from hyperphosphorylated tau aggregates also increase at later ages in association with cognitive decline [7].

Causal links of cognitive decline to fibrillar β-amyloid are elusive because immunotherapy to remove fibrillar β-amyloid did not consistently improve cognitive deficits in multiple clinical trials [810]. Moreover, only one-third of terminal cognitive decline was explained by postmortem levels of fibrillar β-amyloid and tau [11,12]. Both longitudinal studies documented a wide range of multiple pathologic lesions in older brains in addition to β-amyloid plaques and NFT, together with proteinopathies of aggregated a-synuclein (Lewy bodies) and TDP-43 protein, as well as cerebral vascular amyloid pathology and microbleeds. Clinical dementia at later ages indicative of AD rarely occurs with only amyloid plaques and NFT. Unresolved issues include how neuropathological heterogeneity changes with older ages and by ethnicity. The aging brain is a jungle.

We propose that a life course approach will help resolve relationships of β-amyloid peptides to cognitive declines and other brain aging changes. For starters, consider that levels of β-amyloid peptides Aβ40 and Aβ42 increase exponentially during normal aging in frontal cortex [13] (Fig. 1D,E). These individuals lacked AD-grade pathology or history of dementia. After age 60, Aβ42 was at least ten-fold higher than levels before 30 years. This extraction method and other [14] did not distinguish solubilized and aggregated β-amyloid peptides, which we further resolve. Age increases of β-amyloid peptides is also found in lab rodents without AD transgenes (Fig. 1A) [15,16], monkey (Fig. 1C), and domestic dogs [17].This commonality suggests that non-pathological increases of β-amyloid peptides is a broadly shared process of mammalian brain aging.

Figure 1:

Figure 1:

β-Amyloid peptides in cerebral cortex increase with age in mice (A,B), monkey (C) and cognitively normal humans (D,E), but not cerebellum (F). Reprinted from Fukumoto et al. 2004 [13]. No human brain had NFTs; 3 brains had “diffuse cortical amyloid deposits without cortical NFT”. The Aβ was extracted by formic acid from centrifuged pellets of an isotonic homogenate in Tris buffer with 0.1% Triton X-100; ELISA. The Tris-soluble fraction was not analyzed.

Concurrent with increasing β-amyloid peptides after age 30 years are slow declines in cognition processing and synapse density from young adulthood [18]. Longitudinal studies concur that cognitive skills entailing fluid reasoning or the ability to solve novel problems reach a peak by the mid 30s, followed by slow declines [1921]. Underlying mechanism may be the progressively slowed processing of information [22,23] and the progressive loss of synapses in cerebral cortex [24] and basal ganglia [25]. Similar loss of monoamine receptors was shown by us for monoamine receptors 4 decades ago [26]. The loss of synapses in middle aged humans [27] and rodents are best attributed to atrophy of neuronal cell body and synaptic arbor, rather than death of neurons, as shown for cerebral cortex of cognitively healthy brains up to age 90 [28]. The blood-brain barrier also progressively weakens during middle-age, without amyloid or tau pathology, as observed by in vivo brain imaging [29,30]. We hypothesize that the accelerating risk of dementias after age 60 years arises at some critical threshold of elevated β-amyloid peptides during ‘normal aging’ when aging goes from ‘bad to worse’ with emergence of multifarious brain pathologies.

Consolidated Results:

Because of these gaps in consistent assay methods for soluble β-amyloid peptides, we measured soluble and insoluble brain β-amyloid peptides by a protocol similar to that for the above data on normal aging (Fig. 2A). The initial isotonic homogenate yielded data not reported for normal aging in comparison with clinical grade dementia. The level of neurodegeneration was categorized by Braak scores 0 to 6 for NFT density [31].

Figure 2:

Figure 2:

β-Amyloid in frontal cortex by Braak. A) Diagram of amyloid extraction and fractionation. S1, RIPA soluble amyloid; P1, insoluble pellet. S2, formic acid solubilized (FA). B) Values of Aβ40 and Aβ42 ng/mg per brain tissue in S1 calculated from internal standard curves and B) Fibrils as relative fluorescent units. One way ANOVA; *p<0.05, **p<0.01.

Soluble Aβ40 increased progressively by Braak score in frontal cortex; Aβ42 increased less (Fig. 2B). The 5-fold range of soluble β-amyloid peptides in cognitively normal elderly brain overlapped with the clinically demented cases. The wide range of Aβ40 and-42 peptides within all Braak scores was further validated by dot blot quantification with ‘internal standards’. As expected, fibrillar β-amyloid, extracted by formic acid (Fig. 2A), increased progressively with Braak score by 3-fold (Fig. 2C).

Possible causes of the elevated soluble peptides could include increased production and or decreased clearance mechanisms. β-Amyloid peptide production from the amyloid precursor protein APP was examined in lipid rafts (LR), a subcellular fraction containing the secretase enzymes BACE1 and PSEN 1 that cleave APP. Yields of LR wet weight from frontal cortex decreased at later stages of AD with higher Braak scores (Fig. 3A). The decreased yield was in proportion to neuronal loss on frontal cortex, assessed by the neuron marker NeuN (Fig. 3D). APP levels were 25% lower in clinical grade AD with Braak stages 4–6 (Fig. 3C). The cerebellum showed nonsignificant differences between AD and nondemented controls for soluble and fibrillar β-amyloid peptides, see below, consistent with this region’s minimal neurodegeneration [32] and was also relatively unaffected with aging in healthy brains (Fig. 1F).

Figure 3:

Figure 3:

Lipid raft (LR) yield, amyloid precursor protein (APP) and NeuN by Braak score in frontal cortex and cerebellum of 65+ year old cognitively normal (open circles) and demented (closed circles). A) LR yield per mg tissue, B) APP, C) NeuN and D) coplot of NeuN and LR yield. One way ANOVA; *p<0.05, **p<0.01, ****p<0.0001. Spearman correlation; **p<0.05.

The clearance of Aβ peptides was evaluated with proteins that bind to Aβ and target it for degradation [2]. In AD frontal cortex, LRP1 decreased by 40% in correlation with ApoE levels (Fig. 4). Soluble Aβ40 varies inversely with LR yield, LRP1, and NeuN (Fig. 5).

Figure 4:

Figure 4:

β-Amyloid clearance proteins in lipid rafts. Lipid raft A) LRP1, B) ApoE, and C) coplot of LRP1 and ApoE from frontal cortex. One way ANOVA; *p<0.05. Spearman correlation; *p<0.05.

Figure 5:

Figure 5:

Correlation matrices examining relationships between soluble amyloid, LR, and amyloid clearance for frontal cortex. Spearman correlation; *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001.

Discussion:

These findings document the wide range of soluble brain β-amyloid peptides Aβ40 and-42 in frontal cortex of nondemented control brain and their extensive overlap with levels observed in AD. A similarly wide range of concentrations were shown for formic acid soluble β-amyloid peptides in brains that had minimal histochemical amyloid by standard postmortem criteria (Fig. 1D,E). This is the first quantification of postmortem soluble Aβ peptides by Braak scores using an assay based on standard curves of Aβ peptides added to brain extracts, which showed linearity over a 100-fold range. This is also the first comparison of β-amyloid peptides with parallel extracts of bulk brain tissue in relation to lipid rafts.

We do not know the level of aggregation in β-amyloid peptides extracted by formic acid in these human brains, or in wild-type mice, across a wide age range (Fig 1A). Most soluble Aβ peptides are aggregated as oligomers in postmortem extracts [33] and in cerebrospinal fluid from living patients [34]. There is minimal neuron loss in non-demented cerebral cortex of ‘normal aging’ mice and humans, despite elevated Aβ. This fact is not incompatible with the decades of research showing the neurotoxicity of Aβ oligomers [35] because in vivo oligomers are complexed with ApoE, ApoJ (CLU), and other proteins [33,36,37]. The term ‘amyloid’ thus needs to be carefully defined.

Is soluble Aβ elevated in AD above normal aging because of increased synthesis, or clearance from the brain? Lipid rafts, the subcellular site of APP cleavage, are decreased in proportion to neuron loss in frontal cortex. While the enzymes of APP cleavage are unchanged in AD, APP levels are further decreased. Secretase enzymes of APP processing and APP levels did not statistically correlate with soluble Aβ40 and −42 in cerebral cortex and cerebellum. Neurons import Aβ through LRP1 for subsequent lysosomal degradation [38]. The large decrease of LRP1 suggests that impaired clearance rather than increased synthesis is a cause of increased soluble Aβ in AD. Multiple clearance mechanisms may differ by cell type and Braak stage [3].

Future studies could compare immunoassays with LC-MS for other β-amyloid peptides, and for correspondence with PET-imaging of amyloids. The aggregation state of Aβ and its complex with other proteins [33] may provide insights into the mechanisms underlying slow loss of synapses and cognitive processing during normal aging. Studies of APP processing in aging wild-type mice may be informative together modulators of APP processing [39]. Further analysis should include middle-aged brains and CSF for the roles of synthesis and clearance in Aβ elevations that precede AD pathology by decades. Amyloid futures may be sought in earlier development, when gene expression is established for β-amyloid peptide production and clearance.

Detailed Methods and Results

Methods:

Tissue.

Case-matched (Ctx;52, Cbl;58) frozen samples ages 85 ± 1; 66–99 years from University of Southern California (N=38), University of California Irvine (N=13), and University of Washington (N=8); equal sex distribution; cognition by MMSE, 93 ± 55 months pre-mortem (range 1–1,220 months; median 36 months); PMI, 6.6 ± 0.5 hours (range 0–19 hours; median 5.8 hours). The brain tissue used in this project was provided by the University of Southern California Alzheimer’s Disease Research Center, the University of California Irvine Alzheimer’s Disease Research Center (UCI-ADRC) and the Institute for Memory Impairments and Neurological Disorders, and the University of Washington’s Alzheimer’s Disease Research Center. Further information is presented in Table 1. All human subjects provided informed consent. IRB protocol #UP-20-00014-EXEMPT.

Table 1:

Patient information for brain tissues by source.

Age Sex AD Status Braak ApoE Allele PMI (hours) Frontal Cortex Cerebellum Race MMSE MMSE Interval (Months) ADRC
99 Female CTL 0 3,3 9 x x White 28 23.4 USC
91 Female CTL 0 3,3 8.75 x x White 20 84 USC
85 Female CTL 0 3,3 7 x x White N/A N/A USC
95 Female CTL 1 3,3 3.25 x x White N/A N/A USC
87 Female CTL 2 3,3 10.75 x x White 29 1 USC
95 Female CTL 2 3,3 2.92 x x Hispanic N/A N/A UCI
86 Female CTL 3 3,3 6.17 x x White 30 35.5 UCI
90 Female CTL 3 3,3 2.2 x x White N/A N/A UCI
89 Female CTL 3 3,3 3.58 x N/A White 24 5.9 UCI
94 Female AD 4 3,3 10.5 x x Black N/A N/A USC
81 Female AD 5 3,3 7.5 x x Hispanic N/A N/A USC
89 Female AD 5 3,3 1.5 x x White N/A N/A USC
66 Female AD 6 3,3 17 x x White N/A N/A USC
70 Female CTL 1 3,4 4.17 N/A x White 28 20.1 UW
86 Female CTL 3 3,4 9.33 N/A x White 29 12.3 UW
97 Female CTL 3 3,4 0 N/A x N/A 26 6.6 UW
91 Female CTL 3 3,4 11.2 x x N/A 23 10.1 UW
85 Female CTL 3 3,4 4.2 N/A x White 29 37.9 UW
89 Female CTL 3 3,4 3.5 N/A x White 27 28.7 UW
74 Female CTL 3 3,4 4.5 N/A x White 30 44.3 UW
91 Female CTL 3 3,4 3.33 x x White 27 42.5 UCI
87 Female CTL 3 3,4 4.57 x x White 29 85.6 UCI
93 Female CTL 5 3,4 4.15 x x White 30 81.6 UCI
81 Female AD 5 3,4 5.5 x x White N/A N/A USC
84 Female AD 5 3,4 6 x x White N/A N/A USC
80 Female AD 5 3,4 19 x x White N/A N/A USC
96 Female AD 6 3,4 9 N/A x Black N/A N/A USC
77 Female AD 6 3,4 8.25 x x White N/A N/A USC
87 Female AD 6 3,4 4.5 N/A x N/A N/A N/A USC
78 Female AD 4 4,4 15.5 x x White N/A N/A USC
81 Female AD 5 4,4 4 x x White N/A N/A USC
80 Female AD 5 4,4 3.75 x x White N/A N/A USC
76 Female AD 5 4,4 5.25 x x White N/A N/A USC
82 Male CTL 0 3,3 9 x x White 28 N/A USC
93 Male CTL 0 3,3 12 x x White 30 1229.2 USC
93 Male CTL 0 3,3 3.75 x x White N/A N/A USC
76 Male CTL 0 3,3 11.25 x x Hispanic N/A N/A USC
86 Male CTL 2 3,3 4.42 x x White 25 48.4 UCI
83 Male CTL 2 3,3 3.18 x x White N/A N/A UCI
86 Male CTL 3 3,3 2.92 x x White 20 37 UCI
80 Male CTL 3 3,3 4.05 x x White 26 95.1 UCI
97 Male AD 3 3,3 5.25 x x Hispanic N/A N/A USC
87 Male AD 4 3,3 4.75 x x White N/A N/A USC
76 Male AD 5 3,3 9.75 x x Hispanic N/A N/A USC
88 Male AD 5 3,3 6.75 x x Hispanic N/A N/A USC
92 Male CTL 0 3,4 5.25 x x White N/A N/A USC
87 Male CTL 1 3,4 4 N/A x White 25 8.9 UW
90 Male CTL 3 3,4 5.8 x x White N/A N/A UCI
97 Male CTL 4 3,4 5.83 x x White 26 7 UCI
87 Male CTL 4 3,4 6.28 x x White 22 101.5 UCI
77 Male AD 2 3,4 6 x x White N/A N/A USC
81 Male AD 3 3,4 7.25 x x Hispanic N/A N/A USC
85 Male AD 5 3,4 7.25 x x Hispanic N/A N/A USC
72 Male AD 6 3,4 9 x x White N/A N/A USC
75 Male AD 0 4,4 9.5 x x White N/A N/A USC
88 Male AD 5 4,4 5 x x White N/A N/A USC
92 Male AD 5 4,4 8.25 x x White N/A N/A USC
70 Male AD 5 4,4 3.5 x x White N/A N/A USC
81 Male AD 5 4,4 6.54 N/A x Asian N/A N/A USC

ADRC; Alzheimer’s Disease Research Center, MMSE; Mini-Mental State Exam, PMI; Postmortem Interval, UW; University of Washington, UCI; University of California Irvine, USC; University of Southern California. Column headings of ethnicity (‘Race’) are shown as recorded by source.

Amyloid Extraction.

Full thickness sections were homogenized by motorized pestle in RIPA buffer (30 mg tissue:150 μL; [40]) containing 1% Nonidet P-40, and inhibitors of proteases and phosphatases (Fig. 6A). RIPA did not contain SDS which alters Aβ aggregation [41]. Homogenates were centrifuged at 10,000g for 1 hour at 4°C, yielding supernate (S1) with soluble amyloids. The pellet (P1) was resuspended in 70% formic acid [42] and sonicated (80% power/10s). After nutating for 2 hours at room temperature, the resulting S2 was fully solubilized, without visible pellets after 10,000g for 1 hour. S2 was neutralized with 20 volumes of 1M Tris and concentrated for 4 hours with a vacuum concentrator (Labconco, Kansas City, MO).

Figure 6:

Figure 6:

β-Amyloid peptide standard curves. A) Diagram of amyloid extraction and fractionation. S1, RIPA soluble amyloid; P1, insoluble pellet. S2, formic acid solubilized (FA). B) Standard curves for reagent Aβ40 and Aβ42 are linear for 100-fold range of relative fluorescence units (N, 6–8 per curve). C) Representative dot blot for internal standard curves of Aβ42 added to S1 lysates of cortex.

Lipid Raft Isolation.

Total LR was isolated from 40–60 mg of human frontal cortex and cerebellum by column chromatography (LR-039; Invent Biotechnologies, Plymouth, MN). LR yield was determined by weighing isolated rafts before resuspension in PBS+1% Triton and sonicated. Lipid rafts were assayed for cholesterol (Cell Biolabs, San Diego, CA) and used for western blotting. Lipid raft isolations were compared to Optiprep (Sigma Aldrich, St. Louis, MO) which were previously validated (Fig. 8CF)[43].

Figure 8:

Figure 8:

Validation of lipid rafts. A) Representative comparison of isolated human lipid rafts from cognitively normal and Alzheimer’s disease frontal cortex and cerebellum derived from Invent Biotechnologies’ kit (LR-039). Lipid raft, cytosolic, and nuclear fractions from the same extraction were probed for B) Flotillin1, a lipid raft marker, C) Histone 3 (nuclear), and GAPDH (cytosolic). D) LRs were compared with ultracentrifugation (UC) methods from mouse cortex and neuronal cells from and cortex for Flotillin1. Additional validations comparing kit and UC rafts for presence of D) Flotillin 2, E) Caveolin 1, and F) Lipid Raft Linker 1 (RFTN1).

Western Blots.

20μg of S1 or 5μg of lipid raft lysates were resolved on 4–15% gradient gels by Criterion Cell (Bio-Rad, Hercules, CA). Gels were transferred for 1 hour at 100V using a Criterion Blotter in an ice bath onto 0.45μm PVDF membranes. Total protein was stained (Revert 700, LI-COR Biosciences, Lincoln, NE), and imaged (LI-COR Odyssey 9120). Membranes were destained and incubated 1 hour with Intercept blocking buffer. Membranes were incubated with primary antibodies for 16 hours: GAPDH (Santa Cruz Biotechnology, Santa Cruz, CA), H3, BACE1, PSEN1, LRP1 (Cell Signaling Technology, Danvers, MA), APP, NeuN (Abcam, Waltham, MA), Flotillin1, Flotillin2, Caveolin1, RFTN1, ADAM10, PSD95, and β III tubulin (Proteintech, Rosemead, IL). Membranes were visualized using fluorescent-conjugated secondary antibodies for image analysis by ImageJ and corrected by total protein load.

Dot Blots.

25μg of S1 or S2 lysates were loaded onto a dot blot apparatus (Bio-Rad, Hercules, CA) and were filtered through 0.45μm PVDF for 2 hours by gravity filtration. Membranes were stained with Revert 700, imaged, and blocked for 1 hour with Intercept blocking buffer before incubation for 16 hours with primary antibodies. Antibodies against Aβ40, Aβ42 (Biolegend, San Diego, CA), and amyloid fibrils M78 (conformation specific for Aβ fibrils [44], gift of Dr. Charles Glabe, UCI) were used. Membranes were visualized using fluorescent-conjugated secondary antibodies for image analysis by ImageJ and corrected by total protein load. Aβ40 and Aβ42 were quantified with Aβ peptides (Biolegend, San Diego, CA). Standard curves were created by loading S1 lysates with known concentrations of Aβ peptides (Fig. 6B,C). Oligomeric Aβ was not assayed because of concerns for its stability during freezing and thawing of brain tissues, and lability to detergents used during extraction [45].

Statistics.

Groups were compared by one way ANOVA using Tukey’s HSD post hoc test for multiple comparisons. Significant differences for non-parametric data were calculated by Kruskal-Wallis with Dunn’s post hoc test. Correlation plots and matrices were constructed by Spearman correlation.

Results:

Aβ40 and Aβ42 in frontal cortex and cerebellum of elderly (≥ 65 y, N=48, equal sex) were analyzed by Braak scores: low neurodegeneration (0–1), medium (2–3), and high (4–6) (Fig. 6). Scores 0–3 mainly represent ‘normal’ patients without clinical grade cognitive deficits (open circles), with 8% exceptions (closed circles). Two fractions of tissue homogenates were analyzed for soluble Aβ by relative fluorescence and standard curve (Fig. 6B): S1, supernates of RIPA buffer homogenate with mild non-ionic detergent (S1/NP-40); S2, pellets of S1 solubilized by formic acid (S2/FA). Because of the wide range of Aβ42 levels within all Braak scores, we further validated dot blot quantification with ‘internal standards’ (Fig. 6B). The addition of Aβ peptides to S1 gave linear increments above sample fluorescence across a 100-fold range of values. Aβ fibrils are presented as S2 relative fluorescence units because no reagent standards are available for heterogeneous Aβ fibrils.

Aβ was assayed to determine if observations made by Fukumoto et al. 2004 [13] extended to soluble Aβ peptides which were not reported for their equivalent of fraction S1. Frontal cortex S1 Aβ40 increased progressively up to 50% across the Braak stages (P=0.02), while Aβ42 had a weak trend (P=0.4; Fig. 7): For the S2/FA, the Aβ40–42 peptides and fibrillary Aβ with Braak scores 4–6 were at least 100% above Braak stages 0–1. Cerebellum S1 Aβ40 and Aβ42 did not differ by Braak stage. The total extracted cortex Aβ40 and Aβ42 were 2-fold higher in AD brains (Braak 4–6) than controls (Braak 0–1) (Fig. 7A).

Figure 7:

Figure 7:

β-Amyloid in frontal cortex and cerebellum by Braak. A) β-Amyloid levels S1, S2, and fibrils shown as relative fluorescence units. B) Transformed values of Aβ40 and Aβ42 ng/mg brain tissue in S1 and S2, calculated from internal standard curves. One way ANOVA; *p<0.05, **p<0.01.

Possible causes of the elevated soluble peptides could include increased production and or decreased clearance. These same brains were characterized for lipid rafts (LR; Fig. 8A), the subcellular site of Aβ production from the secretase enzymes that cleave APP. LR isolations were initially validated by flotillin1, an LR protein in cytosolic and nuclear fractions obtained from the same extraction (Fig. 8B). LRs were void of cytosolic and nuclear contaminants (Fig. 8C). Isolations were then compared to LRs obtained by ultracentrifugation (UC) previously validated [43]. Flotillin1 was more abundant in the LR by chromatography kit compared to UC (Fig. 8D). Additional lipid raft markers flotillin2, caveolin1, and RFTN1 were used to validate kit LR’s (Fig. E-F). Yields of LR wet weight from frontal cortex of Braak 0–1 stages were 25% higher than Braak 4–6 stages (Fig. 9A). Cortex LR protein (Fig. 9B), LR cholesterol (Fig. 9C), and APP processing did not vary by Braak stage for frontal cortex (BACE1, PSEN1, ADAM10; Fig. 9EG). APP levels were 25% lower for the higher Braak 4–6 stages (Fig. 9D). Cerebellum LR yield was 75% less than cerebral cortex by wet weight and protein, yet LR of both regions had similar levels of APP, BACE1, and PSEN1 by Braak stage. However, cerebellar ADAM10 increased 6-fold in Braak stages 4–6 brains compared to 0–1 (Fig. 9G). Amyloid clearance receptor LRP1 decreased in Braak stages 4–6 in frontal cortex from 0–1 and 2–3 groups; lipid raft ApoE was unchanged (Fig. 9H,I).

Figure 9:

Figure 9:

Lipid raft (LR) composition, amyloid precursor protein (APP) and amyloid processing enzymes by Braak score in frontal cortex and cerebellum of 65+ year old cognitively normal (open circles) and demented (closed circles). A) LR yield per mg tissue, B) total protein, C) cholesterol, D) APP, E) BACE1, F) PSEN1, G) ADAM10, H) LRP1, and I) ApoE. One way ANOVA; *p<0.05, **p<0.01, ****p<0.0001.

Neuronal markers were used to assessed neuronal loss in relation to Braak score and brain region. The levels of NeuN, β III tubulin, and PSD95 decreased in showed parallel with for Braak 4–6 stages in frontal cortex compared to 0–1 but was unchanged in cerebellum (Fig. 10). Because NeuN is not found in cerebellar Purkinje neurons, β III tubulin was included [46].

Figure 10:

Figure 10:

Neuronal markers in frontal cortex and cerebellum. A) NeuN, B) β III Tubulin, and C) PSD95 protein presented as relative fluorescent units. One way ANOVA One way ANOVA; *p<0.05, **p<0.01, ****p<0.0001.

Correlation matrices examined relationships between Aβ peptides, LRs, and LRP1 for amyloid clearance. Levels of Aβ peptides in bulk tissue (Fig. 7) had limited correlation of LR composition across Braak scores (Fig. 11). Cortex Aβ40 was inversely correlated with LR yield, NeuN, and LRP1. In both regions, LR APP protein varied inversely with Braak scores and AD clinical status. Cerebellar correlations with AD were generally weaker than frontal cortex (Fig. 11). Aβ42 and Braak score were strongly correlated in cortex but not cerebellum.

Figure 11:

Figure 11:

Correlation matrices examining relationships between soluble amyloid, LR, and amyloid clearance for frontal cortex and cerebellum. Aβ40, and −42 are transformed S1 values (Fig 7B). Spearman correlation; *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001.

Research In Context.

Systematic Review:

Cited literature was found using PubMed. Soluble β-amyloid peptides (Aβ) are not well defined by the level of Alzheimer’s disease (AD) neuropathology.

Interpretation.

Elevations in soluble Aβ peptides in AD frontal cortex are attributable to impaired Aβ clearance rather than production.

Future Directions:

Differences by sex and Apolipoprotein E (ApoE) allele need analysis in expanded samples in relation to Braak stage and positron emission tomography (PET) amyloid. Younger ages merit analysis for the cause of progressive Aβ peptide elevations during middle-age, synthesis or clearance.

Acknowledgements.

We are grateful for funding from T32-AG000037 (E. Crimmins, USC). We appreciate the helpful discussions of brain samples with Carol Miller (USC), and C. Dirk Keene (U Washington). We thank Henry Jay Forman, Margaret Gatz, and Christian J. Pike for helpful discussions. Tissue for this study was obtained from the USC Alzheimer’s Disease Research Center Neuropathology Core, NIA AG066530. The UCI-ADRC is funded by NIH/NIA Grant P30AG066519.

Funding:

M.Thorwald was supported by T32-AG000037 (E. Crimmins, USC). J. Silva and E. Head were supported by P30AG066519. Lab studies were supported by NIH grants to CEF (R01-AG051521, P50-AG05142, P01-AG055367). Brain specimens were obtained from ADRC Tissue Cores: USC (P50-AG005142, AG066530); UCIrvine (P30-AG066519); U Washington (P30-AG066509; U01- AG006781).

Footnotes

Conflicts of Interest. The authors report no conflicts of interest.

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