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Abnormal Intracellular Accumulation and Extracellular Aβ Deposition in Idiopathic and Dup15q11.2-q13 Autism Spectrum Disorders

  • Jerzy Wegiel ,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Janusz Frackowiak,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Bozena Mazur-Kolecka,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • N. Carolyn Schanen,

    Affiliation Nemours Biomedical Research, duPont Hospital for Children, Wilmington, Delaware, United States of America

  • Edwin H. Cook Jr.,

    Affiliation Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, United States of America

  • Marian Sigman,

    Affiliation Department of Psychiatry, University of California Los Angeles, Los Angeles, California, United States of America

  • W. Ted Brown,

    Affiliation Department of Human Genetics, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Izabela Kuchna,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Jarek Wegiel,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Krzysztof Nowicki,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Humi Imaki,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Shuang Yong Ma,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Abha Chauhan,

    Affiliation Department of Neurochemistry, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Ved Chauhan,

    Affiliation Department of Neurochemistry, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • David L. Miller,

    Affiliation Department of Molecular Biology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Pankaj D. Mehta,

    Affiliation Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Michael Flory,

    Affiliation Department of Psychology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Ira L. Cohen,

    Affiliation Department of Psychology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Eric London,

    Affiliation Department of Psychology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America

  • Barry Reisberg,

    Affiliation Departments of Neurology, Pathology and Psychiatry, New York University School of Medicine, New York, New York, United States of America

  • Mony J. de Leon,

    Affiliation Departments of Neurology, Pathology and Psychiatry, New York University School of Medicine, New York, New York, United States of America

  •  [ ... ],
  • Thomas Wisniewski

    Affiliations Department of Developmental Neurobiology, NYS Institute for Basic Research in Developmental Disabilities, Staten Island, New York, United States of America, Departments of Neurology, Pathology and Psychiatry, New York University School of Medicine, New York, New York, United States of America

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Abnormal Intracellular Accumulation and Extracellular Aβ Deposition in Idiopathic and Dup15q11.2-q13 Autism Spectrum Disorders

  • Jerzy Wegiel, 
  • Janusz Frackowiak, 
  • Bozena Mazur-Kolecka, 
  • N. Carolyn Schanen, 
  • Edwin H. Cook Jr., 
  • Marian Sigman, 
  • W. Ted Brown, 
  • Izabela Kuchna, 
  • Jarek Wegiel, 
  • Krzysztof Nowicki



It has been shown that amyloid ß (Aβ), a product of proteolytic cleavage of the amyloid β precursor protein (APP), accumulates in neuronal cytoplasm in non-affected individuals in a cell type–specific amount.

Methodology/Principal Findings

In the present study, we found that the percentage of amyloid-positive neurons increases in subjects diagnosed with idiopathic autism and subjects diagnosed with duplication 15q11.2-q13 (dup15) and autism spectrum disorder (ASD). In spite of interindividual differences within each examined group, levels of intraneuronal Aβ load were significantly greater in the dup(15) autism group than in either the control or the idiopathic autism group in 11 of 12 examined regions (p<0.0001 for all comparisons; Kruskall-Wallis test). In eight regions, intraneuronal Aβ load differed significantly between idiopathic autism and control groups (p<0.0001). The intraneuronal Aβ was mainly N-terminally truncated. Increased intraneuronal accumulation of Aβ17–40/42 in children and adults suggests a life-long enhancement of APP processing with α-secretase in autistic subjects. Aβ accumulation in neuronal endosomes, autophagic vacuoles, Lamp1-positive lysosomes and lipofuscin, as revealed by confocal microscopy, indicates that products of enhanced α-secretase processing accumulate in organelles involved in proteolysis and storage of metabolic remnants. Diffuse plaques containing Aβ1–40/42 detected in three subjects with ASD, 39 to 52 years of age, suggest that there is an age-associated risk of alterations of APP processing with an intraneuronal accumulation of a short form of Aβ and an extracellular deposition of full-length Aβ in nonfibrillar plaques.


The higher prevalence of excessive Aβ accumulation in neurons in individuals with early onset of intractable seizures, and with a high risk of sudden unexpected death in epilepsy in autistic subjects with dup(15) compared to subjects with idiopathic ASD, supports the concept of mechanistic and functional links between autism, epilepsy and alterations of APP processing leading to neuronal and astrocytic Aβ accumulation and diffuse plaque formation.


Autism is a developmental disorder characterized by qualitative impairments in reciprocal social interactions, verbal and nonverbal communication, and restricted, repetitive and stereotyped patterns of behavior [1]. Autism is often diagnosed in subjects with genetic disorders, including maternal origin duplications 15q11.2-q13 (dup15) (69%) [2], [3], fragile X syndrome (FXS) (15–28%) [4] and Down syndrome (DS) (7%) [5].

Recent studies indicate that non-amyloidogenic cleavage of the amyloid-β (Aβ) peptide precursor (APP) with α and γ secretases is linked to several developmental disorders, including autism and FXS [6][10]. The proteolytic cleavage of APP by membrane-associated secretases releases several Aβ peptides possessing heterogeneous amino- and carboxyl-terminal residues, including Aβ1–40 and Aβ1–42 as products of β- and γ-secretases (amyloidogenic pathway); Aβ17–40/42, as a product of α- and γ-secretases (p3 peptide, non-amyloidogenic pathway) [11], [12]; and AβpE3 as a product of N-terminal truncation of full-length Aβ peptide by aminopeptidase A and pyroglutamate modification [13]. Aβ peptides differ in toxicity, oligomerization, fibrillization, distribution and trafficking within cells, and in their contribution to Aβ deposits in plaques and vascular walls. Alzheimer disease (AD) is associated with oligomeric Aβ accumulation, fibrillar Aβ deposition in plaques, neuronal degeneration and cognitive decline. Intraneuronal Aβ accumulation has been shown to be an early event in AD brains and in transgenic mouse models of AD, and has been linked to synaptic pathology [14], [15].

Detection of significantly increased levels of sAPP-α in blood plasma in 60% of autistic children was reported to be an early biomarker of a subgroup of children with autism [6]. Enhanced APP processing by α-secretase is especially prominent in autistic subjects with aggressive behavior [6], [16]. Sokol et al. [10] proposed that increased levels of sAPP-α contribute to both the autistic and FXS phenotypes, and that excessively expressed sAPP-α neurotrophic activity may contribute to an abnormal acceleration of brain growth in autistic children and to macrocephaly in FXS. The fragile X mental retardation protein (FMRP) binds to and represses the dendritic translation of APP mRNA, and the absence of FMRP in FXS and in Fmr1KO mice results in the upregulation of APP, Aβ40 and Aβ42 [7]. Westmark et al. [8] also revealed that genetic reduction of AβPP by removal of one App allele in Fmr1KO mice results in reversion of FXS phenotypes, including reduction of plasma Aβ1–42, to normal levels. Experimental studies in Fmr1KO mice [17] suggest that over-expression of APP/Aβ may contribute to the seizures observed in autism [18] and FXS [4] and that both the over- and under-expression of APP and its metabolites increase the incidence of seizures [7], [17], [19], [20].

Previously we reported that in the brains of controls, both children and adults, neurons accumulate cell type–specific amounts of Aβ17–40/42, which is the product of nonamyloidogenic APP processing [21]. One may hypothesize that increased levels of sAPP-α in blood plasma [6], [9], [16] reflect the enhanced non-amyloidogenic processing of neuronal APP with α-secretase in the brain of autistic subjects.

The aims of this comparative study of the brains of subjects with idiopathic autism (autism of unknown etiology) and autism caused by maternal origin dup(15) were (a) to test the hypothesis that regardless of the causative mechanism, autism is associated with an enhanced accumulation of Aβ in neuronal cytoplasm, (b) to show that intraneuronal Aβ is the product of non-amyloidogenic α-secretase APP cleavage (Aβ17–40/42), (c) to show brain region– and cell type–specific Aβ immunoreactivity, and (d) to identify cytoplasmic organelles involved in Aβ accumulation in the neurons of autistic and control subjects.


The Difference between Intraneuronal Aβ Accumulation in dup(15) Autism, Idiopathic Autism and Control Groups

In all subjects with dup15/autism spectrum disorder (ASD) and the majority of individuals with idiopathic ASD, intraneuronal Aβ immunoreactivity was observed in more neurons, and the amount of immunoreactive material was increased in comparison to the control subjects (Fig. 1). The morphology of the intracellular deposits of Aβ-positive material was cell type–specific. Cortical pyramidal neurons showed significant heterogeneity of intraneuronal deposits with a mixture of fine granular material and several times larger 4G8-positive granules. In Purkinje cells, fine granular deposits were accumulated in the cell body. In the dentate nucleus, large neurons accumulated fine granular material, whereas small neurons accumulated a few much larger Aβ-positive granules. Neurons in the reticulate nucleus in the thalamus contained a mixture of fine granular material and large 4G8-positive granules.

Figure 1. Enhanced intraneuronal accumulation of amino-terminally truncated Aβ in autism.

Mapping of Aβ17–24 in the brain AN09402 reveals brain region– and cell type–specific patterns of abnormal Aβ accumulation in the cytoplasm of neurons and glial cells of a male diagnosed with dup(15), autism and intractable epilepsy, whose sudden unexpected death at the age of 11 years was seizure-related. Almost all neurons in the frontal (FC) and temporal cortex (TC) are 4G8-positive, but the reaction intensity varies from weak to strong. Strong immunoreactivity is observed in many neurons in the lateral geniculate body (LGB), thalamus (Th), amygdala (Amy), Purkinje neurons and basket and stellate neurons in the molecular layer in the cerebellar (Crb) cortex, in many neurons and astrocytes in the CA4, and large and small neurons in the dentate nucleus (DN). Some types of neurons (in the reticular nucleus in the thalamus and small neurons in the dentate nucleus) have different types of deposits: fine-granular and 2- to 3-µm in diameter 4G8-positive deposits. No reaction or only traces of a reaction detected with mAb 6E10 in the frontal cortex, thalamus, cerebellum and dentate nucleus indicate that in intraneuronal Aβ the amino-terminal portion is missing, and the prevalent form of Aβ is α-secretase product. Immunoreactivity with mAb 4G8 is present in the brain of the control subject (14 years of age), but fewer neurons are positive, and immunoreactivity in the frontal cortex, thalamus, cerebellum and dentate nucleus is weaker than in the affected subject. In the control subject, glial cells are usually 4G8-immunonegative.

Immunocytochemistry with monoclonal antibodies (mAbs) 4G8 (17–24 aa of Aβ) and 6E10 (4–13 aa of Aβ) revealed that almost all intraneuronal Aβ is 4G8-positive, but only a very small proportion is labeled with 6E10.

Quantitative evaluation of 12 brain subregions/cell types (frontal, temporal and occipital cortex, Purkinje cells, amygdala, thalamus, lateral geniculate body (LGB), dentate gyrus, CA1 and CA4 sectors and dentate nucleus) revealed that in 11 subregions intraneuronal Aβ load was significantly greater in the dup(15) autism group than in the control and idiopathic autism cohorts (p<0.0001 for all comparisons). In eight regions (all three cortical subregions, Purkinje cells, amygdala, thalamus, LGB, and dentate gyrus), intraneuronal Aβ load differed significantly between the idiopathic autism and control groups (p<0.0001). In structures with almost all neurons positive for Aβ–the dentate nucleus and the inferior olive–the amyloid load was insignificantly higher in control subjects than in subjects with idiopathic autism.

Quantitative study revealed different patterns of immunoreactivity in brain subregions (Fig. 2, and Supporting Information, Fig. S1). The characteristic feature distinguishing the amygdala, thalamus and Purkinje cells of subjects with dup(15) autism was the very high percentage of neurons with strong cytoplasmic Aβ immunoreactivity (46%, 46% and 35%, respectively); the percentage was significantly lower in the idiopathic autism group (32%, 38% and 19%, respectively), and very low in control subjects (6%, 6% and 12%, respectively). However, in pyramidal neurons in the frontal, temporal and occipital cortex, the percentage of neurons with strong Aβ immunoreactivity was low (3–10%), whereas the total percentage of Aβ-positive neurons was significantly higher in the dup(15) group (81–83%) than in the idiopathic autism group (56–71%) and in control subjects (45–51%).

Figure 2. Two major patterns of alterations in intraneuronal Aβ accumulation.

Graphs show a high percentage of neurons with strong cytoplasmic immunoreactivity (mAb 4G8) in the amygdala, thalamus and Purkinje cells in subjects diagnosed with dup(15) autism (D15), a lower percentage in idiopathic autism (IA) subjects, and a low percentage in control subjects. In contrast, the characteristic feature of pyramidal neurons in the frontal, temporal and occipital cortex is a low percentage of neurons with strong Aβ immunoreactivity, whereas the total percentage of Aβ-positive neurons is significantly higher in the dup(15) group than in the idiopathic autism group or in control subjects. Differences in Aβ immunoreactivity in the dup(15) autism vs. control cohort, the idiopathic autism vs. control group, and the dup(15) autism vs. idiopathic autism are significant (p<0.0001).

The percentage of Aβ-positive neurons and neuronal amyloid load was smaller in the hippocampal formation, especially in the CA1 sector and dentate gyrus of control subjects. The amyloid load was significantly higher in the dup(15) autism group than in control subjects, but the difference in amyloid load between the idiopathic autism and control groups was insignificant (Fig. S1).

The feature distinguishing the LGB, inferior olive and dentate nucleus from other brain structures is the childhood onset of lipofuscin accumulation. In LGB, strong Aβ immunoreactivity was observed in 73% of neurons in dup(15) autism and in 62% in idiopathic autism but only 16% of LGB neurons were strongly Aβ-positive in control subjects. In the dentate nucleus, the percentage of strongly positive neurons was comparable in all three groups (41%, 35% and 41%, respectively), but overall amyloid load was statistically higher in dup(15) autism. The percentage of strongly Aβ-positive neurons in the inferior olive was the same in the idiopathic autism and in the dup(15) (32%) group, and there was no difference in overall amyloid load between autistic and control subjects (Fig. S1).

Aβ in Glial Cells

Astrocytes and microglia in the control brains were usually Aβ-negative or contained only traces of Aβ immunoreactivity. Enhanced neuronal Aβ accumulation in the brains of individuals with autism was associated with Aβ accumulation in the astrocytes’ cytoplasm and in some microglial cells (Fig. 3). Two patterns of Aβ immunoreactivity were observed in astroglia. The most common form was a condensed aggregate of Aβ in one pole of the astrocyte soma typical for CA4 sector, some cortical areas but without clear anatomical predilection, and the cerebellar cortex border zone between granule and molecular layers. The less common form was deposition of Aβ-immunoreactive granular material in the entire astrocyte body and in a proximal portion of processes radiating from the cell body (frequent in the molecular layer of the cerebral cortex). The increase in the amount of cytoplasmic Aβ was often paralleled by (a) a several-fold increase in the number of astrocytes, all of which were Aβ-positive (Fig. 3a), (b) clustering of astrocytes in groups of 3–10 cells (Fig. 3b), (c) numerous mitoses as a sign of astrocyte proliferation (Fig. 3c,d) and (d) astrocyte death resulting in deposition of extracellular remnants of Aβ aggregates (Fig. 3e) similar to those seen in astrocyte cytoplasm. Extracellular Aβ deposits were found in neuropil, but larger aggregates (more than 10) were more often in the perivascular space. Confocal microscopy confirmed Aβ accumulation in GFAP-positive astrocytes (Fig. 3, lower panel).

Figure 3. Enhanced accumulation of amino-terminally truncated Aβ in autistic subjects astrocytes.

Clusters of 4G8-positive astrocytes, especially numerous in the molecular layer (a, b); very frequent mitotic divisions (c, d); and extracellular 4G8-positive Aβ deposits, with morphology of astrocytes’ cytoplasmic aggregates (e) may reflect the enhanced proliferation, degeneration and death of Aβ-positive astrocytes in the brain of autistic subjects. Confocal microscopy confirmed the presence of Aβ (green; arrows) in the cytoplasm of GFAP-positive astrocytes (red). Cell nuclei were stained with TO-PRO-3-iodide (blue).

Intracellular Distribution of Amino-terminally Truncated Aβ in Neurons

Intraneuronal Aβ deposits revealed striking neuron type–specific differences in amount, morphology and cytoplasmic distribution; however, they had the same immunoproperties. They revealed no reaction or traces of reaction with mAb 6E10 (Fig. 1) or 6F3D (not shown). The morphological diversity of Aβ deposits suggested that Aβ was present in different compartments of the endosomal-lysosomal pathway and in lipofuscin in neuron type–specific amounts. The number and size of Lamp1– (Fig. 4) lysosomes was from 2 to 3 times more than the number of Aβ-positive deposits; however, only about 10% of Aβ was detected in rab5-positive endosomal vesicles and in LC3B-positive autophagic vacuoles. Colocalization of Aβ with COXIV-positive mitochondria was observed in only a very few mitochondria.

Immunoreaction for Aβ detected with mAb 4G8 was present in some intracellular autofluorescent granules; however, the 4G8-immunoreactive deposits were detected also in neurons with scanty lipofuscin (Fig. 5) and in neurons with abundant autofluorescent granules. On the other hand, some neurons with scanty immunoreaction for Aβ contained numerous autofluorescent granules. The autofluorescent granules were not immunostained with mAb 6E10. Immunoreaction with polyclonal antibody (pAb) R226, specific for the C-terminus of Aβ42, showed only a fraction of labeling colocalized with autofluorescent granules. These results indicate that the detected intraneuronal immunostaining reflects accumulation of N-terminally truncated Aβ in several cellular compartments, including lipofuscin granules.

Figure 4. Aβ in endocytic vesicles, autophagic vacuoles, lysosomes and mitochondria.

Co-localization of Aβ (4G8) in neurons in the frontal cortex of a 10-year-old subject diagnosed with autism/dup(15) (AN06365) demonstrates that a small portion of cytoplasmic Aβ is stored in rab5-positive endocytic vesicles and LC3B-positive autophagic vacuoles, whereas the largest proportion of Aβ is colocalized with lysosomal Lamp1. Colocalization of a relatively large portion of cytoplasmic Aβ with lysosomal markers appears to reflect the accumulation of products of intracellular degradation of Aβ that originated from endocytic and autophagic pathways. The presence of only a few Aβ-positive mitochondria immunolabeled with COXIV may suggest that this Aβ makes the smallest contribution to the detected neuronal Aβ accumulation and degradation pathway.

Figure 5. Aβ in lipofuscin.

Accumulation of Aβ in lipofuscin in the frontal cortex of a 10-year-old subject diagnosed with dup(15) autism was characterized using mAbs 4G8 and 6E10 and pAb R226. Autofluorescent lipofuscin granules were 4G8-negative (cell 1) or partially positive (cell 2), but Aβ was also accumulated in lipofuscin-free neurons (cell 3). The neurons revealed only traces of reaction with mAb 6E10 and a moderate amount of pAb R226–positive Aβ42, which was partially co-localized with autofluorescent lipofuscin.

Specificity of Immunohistochemical Detection of Aβ with mAb 4G8 and 6E10

The epitopes of mAbs 6E10 and 4G8 (4–13 aa and 17–24 aa of the Aβ sequence, respectively) are present in full-length APP and APP C-terminal fragments. In brain tissue that has been fixed in formalin for several months, embedded in polyethylene glycol (PEG) and pretreated with 70% formic acid for 20 min, the immunostaining with mAb 4G8 (Fig. 6) and with 6E10 and 7F3D (8–17 aa of Aβ; not shown) is consistent with the distribution and amount of Aβ, but different from the distribution and amount of neuronal APP. In control brains, antibody R57 detects abundant intraneuronal APP immunoreactivity, but mAb 4G8 reveals only a very limited reaction with Aβ. In numerous neuronal populations in autistic subjects, the immunoreactivity for Aβ increases very significantly, but most R57 immunoreactive material is 4G8-negative, and most 4G8-positive granules are negative for APP. These results indicate that in the examined material, mAbs 6E10, 4G8 and 7F3D detect Aβ but do not bind to neuronal APP detected with pAb R57.

Figure 6. Immunoreactivity of mAb 4G8 with Aβ.

mAb4G8 detects Aβ but does not detect APP in immunohistochemical staining in formalin-fixed and PEG-embedded samples of the frontal cortex of an 8-year-old control subject and a 10-year-old subject diagnosed with dup(15) and autism. Neurons in the control brain contain numerous granules that are immunoreactive with C-terminal APP–specific pAb R57 and are 4G8 negative. In the neurons of an autistic subject, only a few very numerous 4G8-positive deposits are R57-positive, whereas the majority of very numerous APP-immunoreactive granules are 4G8-negative.

Diffuse Plaque Distribution and Immunoproperties in the Brain of Autistic Subjects

Aβ-positive plaques were detected in one of the nine examined subjects diagnosed with dup15 (AN11931), and in two of the 11 subjects diagnosed with idiopathic autism (AN17254 and BB1376). All three subjects were the oldest in each group. In the dup(15) group, a 39-year-old female with autistic features and intractable epilepsy (onset at 9 years of age) and whose death was epilepsy-related had clusters of plaques in several neocortical regions, including the frontal, temporal and insular cortex (Fig. 7). Plaques were also found in the brains of two individuals diagnosed with idiopathic autism, including a 51-year-old subject who had had only one grand mal seizure (Fig. 8), and a 52-year-old individual whose records do not contain information about epilepsy or brain trauma. In both brains, the postmortem examination revealed numerous plaques within the entire cortical ribbon (Fig. S2) and in the amygdala, thalamus and subiculum (not shown).

Figure 7. Full-length Aβ in diffuse plaques and amino-terminally truncated Aβ in astrocytes in autism/dup15.

Diffuse plaques in the frontal cortex of a 39-year-old female (AN11931) diagnosed with dup(15), autistic features, and intractable seizures (age of onset 9 years) and whose death was epilepsy-related, are 6E10-, 4G8-, Rabm38-, Rabm40- and Rabm42-positive. Reaction with Rabm38 and Rabm42 was weaker than with other antibodies. Almost all glial cells with the morphology of astrocytes detected in the plaque perimeter had a large cluster of granular material located usually at one cell pole and positive with all antibodies detecting Aβ, except 6E10.

In all three cases, thioflavin S staining did not reveal fluorescence in the plaques (not shown), suggesting that the amyloid plaques detected in the examined subjects with autism/dup(15) and idiopathic autism were nonfibrillar. However, positive immunoreactivity with all six antibodies used, including 6E10, 6F3, 4G8, Rabm38, Rabm40 and Rabm42 (Fig. 7 and 8) and 6F3D (not shown), revealed full-length Aβ1–40/42 peptides. In the plaque area, numerous glial cells, mainly with the morphology of astrocytes, and less numerous, glial cells with the morphology of microglial cells, contained Aβ-immunoreactive granular material. In contrast to the presence of full-length Aβ peptides in plaques, the Aβ peptides in both astrocytes and microglial cells in the plaque perimeter and surrounding tissue were mAb 6E10- and 6F3D-negative, indicating that they were the product of α-secretase. They were positive for the three other antibodies, Rabm38, Rabm40 and Rabm42, demonstrating that both astrocytes and microglia accumulate Aβ17–40/42.

Figure 8. Full-length Aβ in diffuse plaques, and truncated Aβ in astrocytes in idiopathic autism.

Diffuse plaques in the frontal cortex of a 51-year-old subject (AN17254) diagnosed with idiopathic autism, who had had only one grand mal seizure and died because of cardiac arrest, are immunopositive when stained with all five antibodies (6E10, 4G8, Rabm38, Rabm 40 and Rabm 42), but granular material in the cytoplasm of glial cells is immunopositive for all antibodies used except 6E10.

The extracts from the areas of the cerebral cortex in which diffuse plaques were detected by immunohistochemistry contained Aβ, mainly Aβ1–42, revealed by immunoblotting as a 4-kD band reacting with pAb R226 and mAb 6E10. The levels of Aβ1–42 in the samples exceeded 1.5 fmol per 1 µg of extracted proteins, whereas the levels of extracted Aβ 1–40 were low, below 0.2 fmol per 1 µg of extracted proteins (Fig. 9).

Figure 9. Properties of Aβ in plaque-rich cortex characterized by Western blotting.

Panels A1 and A2 show Aβ40 and Aβ42 detected with pAbs R162 and R226, respectively, in blots of extracts (3 µg of total proteins per line) from cerebral cortex containing diffuse plaques of a 39-year-old subject with dup(15) (lane 1), of 51- and 52-year-old individuals with idiopathic autism (lanes 2 and 3), and of 48- and 47-year-old controls (lane 4 and 5). Blots reveal full-length Aβ, mainly Aβ42, in samples from plaque-positive subjects but not in controls. As standards, 1, 2 and 4 fmols of synthetic Aβ1–40, 17–40 (panel A1) and Aβ1–42, 17–42 (panel A2) were used. Panel B shows Aβ detected with mAb 6E10 specific for the N-terminal portion of Aβ in extract from the cortex of the 52-year-old subject (lane 3; 6 µg of protein per lane) and 4 fmol of synthetic Aβ1–40 (st). Panels A1, A2 and B demonstrate that in the extracts from diffuse plaque–positive cortical samples of autistic subjects, the levels of Aβ1–40 and 1–42 exceeded 1.5 fmol per 1 µg of extracted protein.

Immunoblotting of lysates from the cerebral cortex of autistic subjects without plaques and age-matched control subjects detected Aβ42 (Fig. 10) and Aβ40 (not shown) as a 3- to 4-kD band reacting with the pAb R226 and pAb R162, respectively. The levels of Aβ42 in the samples were in the range below 0.5 fmol per 40 µg of total proteins.

Figure 10. Detection by Western blots of Aβ in plaque-free subjects.

Aβ42 detected with pAb R266 in lysates from cerebral cortex of control individuals 31, 32 and 51 years old (lanes 1–3, respectively), and individuals with idiopathic autism 8, 22, 29, and 29 years old (lane 4, 6, respectively). 40 µg of total lysate proteins were loaded per lane. Synthetic Aβ1–42 was used as a standard.

Neurofibrillary Degeneration

A very few neurofibrillary tangles (NFTs) were found in the entorhinal cortex and amygdala in a 43-year-old control subject and in the entorhinal cortex and cornu Ammonis of a 47-year-old control subject. A few NFTs were found in the entorhinal cortex, CA1 and parasubiculum in a 51-year-old autistic subject and in the entorhinal and temporal cortex and the amygdala of a 52-year-old autistic subject. Neurofibrillary changes were not found in the dup(15) autism cohort with the oldest examined subject who died at the age of 39 years.


The accumulation of intraneuronal Aβ is considered a first step leading to amyloid plaque formation in AD [14], [22][24]. However, our examination of control brains during the life span showed that intraneuronal Aβ also occurs in normal controls and that almost all cytoplasmic Aβ peptides are the product of α- and γ-secretases (Aβ17–40/42) [21], whereas, the majority of amyloid in plaques is the product of β- and γ-secretases. This finding suggests that brain region– and neuron type–specific patterns of intraneuronal Aβ17–40/42 peptide accumulation in control brains are a baseline for detection and evaluation of increases associated with autism, FXS, epilepsy, brain trauma or age-associated neurodegeneration, such as AD.

Detection of Aβ in Human Postmortem Material

The epitopes of mAbs 6E10 (4–13 aa of the Aβ sequence) and 4G8 (17–24 aa) are present in full-length APP and various APP fragments. Recently, Winton et al. [25] demonstrated that neuronal APP is immunolabelled with these two antibodies in mouse brain fixed for 24 hours in 10% neutral buffered formalin. However, the pattern of immunostaining in human brain fixed in formalin for at least several months, dehydrated almost 3 weeks in ascending concentrations of ETOH, and embedded in PEG indicates that mAbs 4G8, 6E10 and 6F3D do not detect APP in tissue subjected to this process. The role of technical factors in the loss of access of these antibodies to their epitopes in APP was previously documented in studies of tissue fixed in formalin for 10 days and in studies of cultured cells [26], [27]. Several observations in this report indicate that these antibodies do not detect APP. Massive immunolabelling of neuronal APP with R57 is in striking contrast with the presence of only traces of 6E10 and 6F3D immunoreactivity in these cells and the only partial co-localization of Aβ and APP labeling in the amyloid-rich neurons of autistic subjects. These data indicate that in the examined material, APP is detected with the APP-specific antibody R57, but not with mAbs 4G8, 6E10,and 6F3D, which, however, detect Aβ. One may assume that the epitopes of these antibodies, but not the R57 epitopes, are blocked or modified in APP molecules during long exposure to chemicals used for fixation, dehydration and embedding. Consistent with immunocytochemistry, Western blotting identifies 3–4 kD Aβ not only in subjects with diffuse plaques, but also in autistic subjects without plaques and in control subjects.

Excessive Accumulation of Aβ17–24 in Neurons in Idiopathic Autism and dup(15) Autism

This is the first report documenting excessive accumulation of Aβ in the neurons of subjects with idiopathic autism and an even more pronounced accumulation in the dup(15) autism cohort. Two patterns of excessive accumulation distinguish these two cohorts from control subjects and indicate that excessive accumulation is neuron type/brain region–specific. Type 1 of altered Aβ accumulation is reflected in an increase in the percentage of neurons with strong Aβ accumulation by 7.6-fold in the amygdala and thalamus and by 4.5-fold in the LGB in individuals with dup(15) autism in comparison to the control group. A similar (by 5.3×, 6.3× and 3.9×, respectively) and statistically significant increase was found in the idiopathic autism group. Type 2 of altered Aβ accumulation is reflected in a more uniform increase in the percentage of neurons with combined strong, moderate and weak immunoreactivity. Again, this pattern is observed in both autistic cohorts in the pyramidal neurons in all three examined cortical regions.

These findings suggest that metabolic alterations are similar in both types of autism and that the severity of these alterations is less pronounced in idiopathic autism than in autism caused by dup(15). The significant increase in the percentage of neurons with enhanced cytoplasmic Aβ load in idiopathic autism and the fact that almost all of this Aβ is the product of α-secretase show the striking similarity to increased levels of sAPP-α in blood plasma in 60% of autistic children (6,16). In studies by Sokol et al. [6] and Ray et al. [16], aggressive behavior was identified as associated with increased levels of sAPP-α. Bailey et al. [9] also detected a significant increase in sAPP-α levels in 60% of autistic children but with no association between the severity of aggression, social or communication sub-scores and increased levels of sAPP-α. Due to the neurotrophic properties of sAPP-α, the authors proposed that an increased level of the products of α-secretase may help identify a subset of children in which early regional brain overgrowth is necessary and sufficient for the development of autism and may even represent a mechanism regulating overgrowth in autism. However, the most pronounced accumulation of amino-terminally truncated Aβ observed in the dup(15) autism cohort with microcephaly [28] indicates that intraneuronal Aβ accumulation of the products of α-secretase is not associated with brain overgrowth. Our data identify a dup(15) autism subcohort with microcephaly, more severe clinical phenotype, very early onset of seizures, a high percentage of intractable seizures, and a high prevalence of sudden unexpected death in epilepsy (SUDEP) as associated with the highest percentage of neurons accumulating α-secretase product.

Trafficking of Aβ17–24 in Neurons

Aβ is generated in the endolysosomal pathway and in the endoplasmic reticulum/Golgi compartment [29][33] and is also detected in multivesicular bodies [34] and in mitochondria [15], [35]. The application of Lamp1 as a lysosomal marker revealed that approximately 20–30% of neuron cytoplasmic Aβ17–24 accumulates in this step of the proteolytic pathway in control and autistic subjects. An increase in cathepsin D protein expression, as reported in several brain regions of autistic subjects, suggests the selective enhancement of target proteins’ hydrolysis by this aspartic acid protease [36]. The lysosome is the major acid hydroxylase-containing cell compartment engaged in processing of substrates delivered by (a) endocytosis, (b) autophagy [37] and (c) scavenging of proteins from the endoplasmic reticulum to lysosomes [38]. The increase of Aβ17–24 in the lysosomes of autistic subjects may reflect Aβ17–40/42 generation in these pathways.

This study revealed that another 20–30% of neuron Aβ17–40/42 is present in lipofuscin, which is the final product of cytoplasmic proteolytic degradation of exogenous and endogenous substrates. During the entire lifespan, lipofuscin gradually accumulates in neurons [39]. The age of onset and dynamics of lipofuscin deposition are cell type–specific [40], [41]. Our previous study revealed that neurons in the inferior olive, dentate nucleus and lateral geniculate body start accumulating lipofuscin and Aβ17–40/42 early in life and that this accumulation progresses with age at region-specific rates [21]. The confocal microscopy study indicates that in spite of the known nonspecific binding of some antibodies to lipofuscin, the selection of the immunostaining protocol and the setting of proper thresholds in confocal imaging applied in this study reveal the selectivity of mAbs 4G8 and 6E10, and pAb R226 binding to some lipofuscin deposits.

The pattern of both Aβ and lipofuscin accumulation can be modified in early childhood in subjects with autism and even more significantly in individuals with dup(15) autism. The difference is detectable as an increase in the percentage of Aβ17–40/42 immunoreactive neurons, the amount of immunopositive material per neuron, and the number of brain regions and neuron types affected in both children and adults. Detected changes in Aβ accumulation may reflect abnormal accumulation of lipofuscin, as reported by Lopez-Hurtado and Prieto [42]. An increase in the number of lipofuscin-containing neurons by 69% in Brodmann area (BA) 22, by 149% in BA 39, and by 45% in BA 44, in brain tissue samples from autistic individuals 7 to 14 years of age, was observed together with a loss of neurons and glial proliferation. However, enhanced lipofuscin accumulation is not unique for idiopathic autism or autism/dup(15). It has been reported in Rett syndrome [43], an ASD, as well as in several psychiatric disorders, including bipolar affective disorder [44] and schizophrenia [45], [46].

Enhanced lipofuscin accumulation and enhanced Aβ17–40/42 immunoreactivity in the majority of the examined brain structures in most of the individuals with autism and the subjects with dup(15) may be a reflection of enhanced oxidative stress. Oxidative stress contributes to protein and lipid damage in cytoplasmic components, their degradation in lysosomal and autosomal pathways, and the deposition of products of degradation in lipofuscin or their exocytosis [47], [48]. The link between oxidative stress, cytoplasmic degradation and lipofuscin deposition is supported by the presence of oxidatively modified proteins and lipids in lipofuscin [39], [49], [50]. A significant increase in malondialdehyde levels (a marker of lipid peroxidation) in the plasma of autistic children [51] and in the cerebral cortex and cerebellum [52] may reflect oxidative damage leading to enhanced degradation, and the possible increased turnover of affected cell components.

Biological Activity of N-terminally Truncated Aβ

The results of confocal microscopy suggest that on average, 30% of neuronal Aβ is present in lysosomes and another 30% in lipofuscin. However, the biological consequences of accumulation of Aβ, in the lysosomes or in lipofuscin are not known. N-terminally truncated Aβ peptides exhibit enhanced peptide aggregation relative to the full-length species [53] and retain their neurotoxicity and β-sheet structure. Soluble intracellular oligomeric Aβ (oAβ) species inhibit fast axonal transport (FAT) in both anterograde and retrograde directions [54]. Inhibition of FAT results from activation of endogenous casein kinase 2. Altered regulation of FAT markedly reduces transport of synaptic proteins and mitochondria in the AD brain and in AD mouse models that accumulate oAβ [55]. Dysregulation of FAT results in distal axonopathies with a reduced delivery of critical synaptic elements required for the integrity, maintenance and function of synapses [54].

The in vitro studies suggest that Aβ 17–24 is toxic to neurons. Treatment of SH-SY5Y and IMR-32 human neuroblastoma cells with Aβ 17–24 causes apoptotic death similar to in cells incubated with Aβ1–42, whereas treatment with Aβ17–40 results in a lower level of apoptosis, comparable to experimental exposure to Aβ1–40. This apoptosis is mediated predominantly by the caspase-8 and caspase-3 pathways [56]. However, in vitro studies of the neuronal response to exogenous Aβ peptides do not replicate the neuronal exposure to endogenous Aβ17–40/42 trafficking inside vesicles and vacuoles of lysosomal pathway.

1–40/42 in Diffuse Plaques of Autistic Subjects

The presence of diffuse nonfibrillar plaques in two autistic subjects who were more than 50 years old and in one 39-year-old subject with autism/dup(15) suggests that in the fourth/fifth decade of life, there is an increased risk of the second type of changes: activation of the amyloidogenic pathway of APP processing with β- and γ-secretases, resulting in focal deposition of Aβ1–40/42 in plaques. It was hypothesized that Aβ17–42 peptides may initiate and/or accelerate plaque formation, perhaps by acting as nucleation centers that seed the subsequent deposition of relatively less amyloidogenic but apparently more abundant full-length Aβ [53], [57], [58]. Gouras et al. [59] considered intracellular Aβ42 accumulation an early event leading to neuronal dysfunction. The Aβ1–40/42 –positive diffuse plaques in the brains of autistic subjects are different from the Aβ17–40/42–positive cerebellar diffuse plaques detected in DS [57], [60]. Diffuse amorphous nonfibrillar Aβ deposits, called amorphous plaques [61], pre-plaques [62] or pre-amyloid deposits [63], are considered to be of neuronal origin [64][67] and are formed selectively in projection areas of distant affected neuronal populations [68]. Diffuse plaque formation in autistic subjects suggests the activation of the secretory pathway and the synaptic release of Aβ1–40/42.

The presence of Aβ17–40/42 in astrocytes in Aβ1–40/42 –positive diffuse plaques suggests that the full-length Aβ released by neurons is phagocytosed and processed by local astrocytes. One may hypothesize that the proliferation of Aβ-positive astrocytes, the increase of cytoplasmic Aβ immunorectivity in astrocytes, the presence of Aβ in all astrocytes in the affected region, astrocyte death and the deposition of large aggregates of extracellular Aβ in the cerebral cortex or hippocampus of autistic children and young adults is a response to the elevated levels of extracellular Aβ17–40/42 and/or Aβ1–40/42. Therefore, the number of Aβ-positive astrocytes may be an indicator of the local concentration of extracellular Aβ not only in plaque-positive but also in plaque-negative brain regions, occurring decades before plaque formation. Cytoplasmic granular immunoreactivity (Aβ17–23 and Aβ8–17) was reported in astrocytes in AD [69]. In astrocytes, intracellular Aβ appears in lysosomes and lipofuscin [70], [71]. It defines the role of astrocytes in the uptake of different species of Aβ in diffuse and neuritic plaques and their subsequent degradation in lysosomes and storage of products of degradation in lipofuscin [69].

In the examined autistic cohort, the early onset of intractable epilepsy and the epilepsy-related chronic and acute brain trauma appear to be additional risk factors for APP pathway activation and diffuse plaques formation. Repetitive brain trauma, including that related to epilepsy and head banging, produces a chronic traumatic encephalopathy with the associated deposition of Aβ, most commonly as diffuse plaques [72][74]. In acute traumatic brain injury, diffuse cortical Aβ deposits were detected in 30% to 38% of cases 2 hours after injury [75][77].

The presence of a few NFTs in the entorhinal cortex, cornu Ammonis and amygdala in 43- and 47-year-old control subjects and in these structures and in the parasubiculum and temporal cortex of 51- and 52-year-old autistic subjects is consistent with the topography and amount of age-associated neurofibrillary degeneration and NFT distribution observed in the general population [78].

In conclusion, this postmortem study of Aβ distribution in the brain of subjects with idiopathic autism and dup(15) autism suggests (a) very significant enhancement of intraneuronal Aβ accumulation in almost all examined cortical and subcortical structures in autism, especially in autism associated with dup(15); (b) the prevalence of anabolic α-secretase APP processing and Aβ17–40/42 accumulation in neuronal endosomes, autophagic vacuoles, lysosomes and lipofuscin in the majority of autistic children and adults; and (c) activation of the amyloidogenic pathway of APP processing with β- and γ-secretases in the late adulthood of some autistic subjects with diffuse nonfibrillar plaque formation and astrocyte activation.

Materials and Methods

Material, Clinical and Genetic Evaluation

The brains studied were from nine individuals diagnosed with dup(15) ages 9 to 39 years (five males and four females), 11 subjects with idiopathic autism ages 2 to 52 years (10 males and one female), and eight control subjects ages 8 to 47 years (four males and four males) (Table 1). Medical records were obtained following consent for release of information from the subjects’ legal guardians. The study was approved by the Institutional Review Boards for the New York State Institute for Basic Research in Developmental Disabilities; the University of California, Los Angeles; and Nemours Biomedical Research, duPont Hospital for Children, Wilmington. Clinical and genetic studies were performed as described previously [28]. Clinical characteristics were based on psychological, behavioral, neurological and psychiatric evaluation reports. To confirm a clinical diagnosis of autism, the Autism Diagnostic Interview-Revised (ADI-R) was administered to the donor family [79].

Table 1. Material examined, cause of death, and the prevalence of epilepsy.

Molecular genetic evaluations, using antemortem peripheral blood samples and lymphoblast cell lines for eight of the dup(15) cases, included genotyping with 19–33 short tandem repeat polymorphisms from chromosome 15, Southern blot analysis of dosage with 5–12 probes, measurement of the methylation state at SNRPN exon α, as described [80], and array comparative genomic hybridization [81]. Duplication morphology was confirmed by fluorescent in situ hybridization [80].

In eight cases, tetrasomy, and in one case, hexasomy of the Prader-Willi/Angelman syndrome critical regions was detected. In eight cases, the origin of abnormality was maternal; in one case, the origin was not determined. In the examined dup(15) group, seven of nine subjects (78%) were diagnosed with autism or ASD, and seven had seizures. In six cases (67%), SUDEP was reported. In the idiopathic autism cohort, two subjects (8-year-old male, HSB4640, and 52-year-old male, BB1376), were diagnosed with the ASD (pervasive developmental disorder – not otherwise specified and high-functioning atypical autism, respectively). In all other cases, the clinical diagnosis of autism was confirmed with ADI-R.

One brain hemisphere was preserved for neuropathological and immunocytochemical studies. Methods and results of neuropathological evaluations of developmental abnormalities have been summarized in our previous reports [28], [82]. The mean postmortem interval varied from 23.9 h in the dup(15) cohort to 19.6 h in the idiopathic autism cohort and 15.0 h in the control group. One brain hemisphere from each subject was fixed in 10% buffered formalin for a period ranging from six weeks to several months, dehydrated in a graded series of ethanol, infiltrated and embedded with PEG (Sigma) [83] and stored at 4°C. Tissue blocks were then cut into 50-µm-thick serial sections and stored in 70% ethyl alcohol. Two brains (AN17254 and BB1376) were embedded in celloidin, as described [82] and were cut alternatively into 200- and 50-µm-thick serial sections.

Immunocytochemistry and Confocal Microscopy

Brain Bank identification of the tissue samples is listed in Table 1, to maintain non-overlapping records of results of brains examined in different projects. Immunocytochemistry and confocal microscopy were applied to characterize (a) Aβ distribution in cells in the cerebral cortex, subcortical structures, cerebellum and brainstem and in diffuse plaques; (b) the Aβ peptide properties; and (c) Aβ distribution in endosomes, lysosomes, autophagic vacuoles, mitochondria and lipofuscin (Table 2).

Table 2. Antibodies used for immunocytochemistry, immunofluorescence and western blotting.

mAbs 6E10 (Covance, Inc., Princeton, Inc.) and 6F3D (Novocastra Lab. Ltd., Newcastle, UK) were used to characterize the N-terminal portion of Aβ. mAb 6E10 recognizes an epitope in residues 4–13 of Aβ [84], [85]. mAb 6F/3D recognizes an epitope in residues 8–17 of Aβ. The middle portion of Aβ was detected with mAb 4G8, which recognizes an epitope in residues 17–24 of Aβ [86]. The carboxyl terminus of Aβ was characterized with rabbit monoclonal antibodies Rabm38, Rabm40 and Rabm42, which detect Aβ−38, Aβ−40, and Aβ−42, respectively [87]. The specificity of mAbs 4G8 and 6E10 for Aβ was verified in the examined postmortem human brain tissue by double immunolabeling with pAb R57 detecting APP C-terminal aa 671–695.

To detect intracellular Aβ peptides and amyloid in plaques, free-floating sections were treated with 70% formic acid for 20 minutes [88]. The endogenous peroxidases in the sections were blocked with 0.2% hydrogen peroxide in methanol. The sections were then treated with 10% fetal bovine serum in phosphate buffer solution (PBS) for 30 minutes to block nonspecific binding. The primary antibodies were diluted in 10% fetal bovine serum in PBS and sections were treated overnight at 4°C. The sections were washed and treated for 30 min with either biotinylated sheep anti-mouse IgG antibody or biotinylated donkey anti-rabbit IgG antibody diluted 1∶200. The sections were treated with an extravidin peroxidase conjugate (1∶200) for 1 h, and the product of reaction was visualized with diaminobenzidine (0.5 mg/mL with 1.5% hydrogen peroxide in PBS). After immunostaining, sections were lightly counterstained with cresyl violet. To detect fibrillar Aβ in plaques, sections were stained with Thioflavin S and examined in fluorescence.

Neurons with fibrillary tangles were immunolabelled with mAb Tau-1, detecting an epitope between amino acids 189 and 207 of the human tau protein sequence [89]. To detect abnormally phosphorylated tau with Tau-1, sections were pretreated with alkaline phosphatase (Sigma, Saint Louis, MO; Type VII-L, 400 µg/ml in PBS, pH 7.4, 0.01% H202).

Double immunofluorescence for Aβ (mAb4G8) and for astrocytes (GFAP; rabbit polyclonal antibody, pAb, Sigma) was carried out to confirm the presence of Aβ in astrocytes. Confocal microscopy was applied to detect Aβ localized in neuronal cytoplasmic organelles. Aβ in lysosomes was detected by using lysosomal-associated membrane protein marker (LAMP1; Abgent, San Diego, CA). Early endosomes were immunodetected with rabbit pAb Rab5 (Ab13253; Abcam, Cambridge, MA), whereas autophagic vacuoles were immunolabelled with rabbit mAb LC3B (Cell Signaling Technology Inc., Danvers, MA). Mitochondria were detected with the rabbit mAb COXIV Alexa Fluor 488 conjugated (Cell Signaling Technology). To detect Aβ, brain sections were treated with 70% formic acid for 20 min, washed in PBS 2x 10 min and double- immunostained using mAb 4G8 and antibodies detecting markers of cytoplasmic organelles. Affinity-purified donkey antisera against mouse IgG labeled with Alexa Fluor 488 and against rabbit IgG labeled with Alexa Fluor 555 (both from Molecular Probes/Invitrogen) were used as secondary antibodies. TO-PRO-3-iodide (Molecular Probes/Invitrogen) was used to counterstain cell nuclei. Absence of cross-reaction was confirmed as previously described [26]. Images were generated using a Nikon C1 confocal microscope system with EZC1 image analysis software.

Comparison of Intraneuronal Aβ Accumulation in Examined Cohorts

Semiquantitative estimation of intraneuronal Aβ was performed without knowledge of the subject’s age, gender or clinical diagnosis or the neuropathological diagnosis of the tissue being analyzed. Evaluation was performed at a workstation consisting of Axiophot II light microscope, specimen stage with 3-axis computer-controlled stepping motor system (Ludl Electronics; Hawthorne, NY), CCD color video camera (CX9000 MicroBrightField Bioscience, Inc., Williston, VT) and stereology software (Stereo Investigator, MicroBrightField Bioscience Inc.). Grid size and the virtual test area were designated individually for each brain region to adjust to the region of interest size and shape. Intraneuronal Aβ accumulation has been estimated by four neuropathologists in 12 brain structures including frontal, temporal and occipital cortex, amygdala, thalamus, lateral geniculate body, sectors CA1 and CA4, and dentate gyrus in the hippocampal complex, Purkinje cells and dentate nucleus in cerebellum, and inferior olive in the brainstem. The number of 4G8-negative neurons and neurons with weak (<10 immunopositive granules per cell), strong (condensed mass of indistinguishable small and large immunoreactive granules) and medium (>weak and <strong) immunoreactivity was determined using a ×40 objective lens. For each subject, from 100 to 180 neurons were examined per region of interest in sections immunostained with mAb 4G8. Inspection of the entire cell cytoplasm by using micrometer screw contributed to precise rating of amyloid load in each examined neuron.

Differences in the estimated cytoplasmic neuronal Aβ load were examined using the Mann-Whitney U (Wilcoxon signed ranks) test or, for comparison of all three groups, the Kruskal-Wallis one-way ANOVA (an extension of the U test) [90]. Statistics were computed from pooled data from each group [dup(15) autism, idiopathic autism, control], where sampled neurons immunoreactivity was categorized as strong, medium, weak or none.

Western Blotting

Frozen temporal cortex samples from three control and three autistic subjects were homogenized in 10×volume of 10 mM TRIS buffer containing 0.65% NP-40, 1 mM EDTA and Complete protease inhibitor coctail (Roche, Mannheim, Germany) in a Potter-Elvehjem homogenizer and sonicated for 2 minutes. Protein content in lysates was measured by BCA assay (Pierce). Forty µg of total lysate proteins were loaded per lane for PAGE in 8–15% gradient gels.

Tissue samples from formalin-fixed PEG or celloidin-embedded brains of three subjects with diffuse plaques detected by immunocytochemistry (39-year-old female diagnosed with dup(15) autism, a 51-year-old autistic subject, and a 52-year-old subject with atypical autism) and two subjects without plaques (48-year-old autistic and a 47-year-old control subject) were used for protein extraction. From 50-µm-thick sections, approximately 120 mm2 of affected cortex was dissected (approximately 6 mm3 of tissue), rehydrated in PBS and homogenized in Potter-Elvehjem homogenizer in PBS containing 0.5% sodium deoxycholate, 0.1% SDS and 1% NP-40 (RIPA buffer). After sonication two times for three minutes, the material was centrifuged at 16,000g for 20 minutes, and supernatants were collected as RIPA extracts. Protein content in the extracts was measured by the BCA assay (Thermo Scientific, Rockford, IL). For Aß detection with R162, R226, and mAb 6E10, the amounts of extracted proteins loaded per lane were 3, 3 and 6 µg, respectively. The proteins were subjected to PAGE in 8–15% gradient gels, transferred onto nitrocellulose and probed with antibodies specific for C-terminus of Aß40 (R162) and Aß42 (R226), and N-terminus–specific mAb 6E10.

Supporting Information

Figure S1.

Neurons with low and high amyloid load. In control brains, the percentage of Aβ-positive neurons and their amyloid load is much lower in CA1 than in CA4 sector and is very low in the granule neurons in the dentate gyrus. The percentage of Aβ-positive neurons and amyloid load is significantly higher in the dup(15) autism cohort than in the control and idiopathic autism groups (p<0.0001), but the difference between idiopathic autism and control is insignificant. The characteristic feature of the LGB, inferior olive and dentate nucleus of control subjects is the very high percentage of Aβ-positive neurons and the highest amyloid load among the examined 12 structures. The increase of amyloid load is undetectable in the inferior olive and is minimal in the LGB and dentate nucleus of subjects with idiopathic autism and dup(15) autism.


Figure S2.

Topography and morphology of neocortical diffuse plaques. Low magnification demonstrates diffuse plaques immunostained with mAb4G8 (17–24 aa) in frontal, temporal and occipital cortex (FC, TC and OC, respectively) in the brain of a 39-year-old female diagnosed with dup(15) autism, a 51-year-old autistic male, and a 52-year-old subject with atypical autism.



The authors thank Maureen Marlow for editorial corrections, Elaine Marchi for help in laboratory work coordination, and Jadwiga Wegiel, Cathy Wang and En Wu Zhang for histology and immunocytochemistry. Tissue and clinical records acquisition was coordinated by the Autism Tissue Program, Autism Speaks (Princeton, NJ; Directors: Jane Pickett, Ph.D. and Daniel Lightfoot, Ph.D.). Carolyn Komich Hare provided results of post-mortem application of ADI-R. The tissue was obtained from the Harvard Brain Tissue Resource Center, Belmont, MA, supported in part by PHS grant number R24-MH 068855; the National Institute of Child Health and Human Development Brain and Tissue Bank for Developmental Disorders at the University of Maryland, Baltimore, MD; and the Brain Bank and Tissue Bank for Developmental Disabilities and Aging of the New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY. We are deeply indebted to the Dup15q Alliance for supporting this project and to the families of the tissue donors who have made this study possible.

Author Contributions

Conceived and designed the experiments: Jerzy Wegiel BR MJL. Performed the experiments: JF BMK Jarek Wegiel AC VC. Analyzed the data: KN HI SYM MF. Contributed reagents/materials/analysis tools: DLM PDM. Wrote the paper: Jerzy Wegiel NCS EHC WTB. Genetic diagnosis: NCS EHC MS. Clinical evaluation: NCS EHC ILC EL. Neuropathological evaluation: TW IK Jerzy Wegiel.


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