A population of more than six million people worldwide at high risk of Alzheimer’s disease (AD) are those with Down Syndrome (DS, caused by trisomy 21 (T21)), 70% of whom develop dementia during lifetime, caused by an extra copy of β-amyloid-(Aβ)-precursor-protein gene. We report AD-like pathology in cerebral organoids grown in vitro from non-invasively sampled strands of hair from 71% of DS donors. The pathology consisted of extracellular diffuse and fibrillar Aβ deposits, hyperphosphorylated/pathologically conformed Tau, and premature neuronal loss. Presence/absence of AD-like pathology was donor-specific (reproducible between individual organoids/iPSC lines/experiments). Pathology could be triggered in pathology-negative T21 organoids by CRISPR/Cas9-mediated elimination of the third copy of chromosome 21 gene BACE2, but prevented by combined chemical β and γ-secretase inhibition. We found that T21 organoids secrete increased proportions of Aβ-preventing (Aβ1–19) and Aβ-degradation products (Aβ1–20 and Aβ1–34). We show these profiles mirror in cerebrospinal fluid of people with DS. We demonstrate that this protective mechanism is mediated by BACE2-trisomy and cross-inhibited by clinically trialled BACE1 inhibitors. Combined, our data prove the physiological role of BACE2 as a dose-sensitive AD-suppressor gene, potentially explaining the dementia delay in ~30% of people with DS. We also show that DS cerebral organoids could be explored as pre-morbid AD-risk population detector and a system for hypothesis-free drug screens as well as identification of natural suppressor genes for neurodegenerative diseases.
Production [1,2,3], and degradation  of β-amyloid peptides (Aβ) are among the central processes in the pathogenesis of Alzheimer’s disease (AD). The canonical Aβ peptide is produced after sequential cleavage of the β-amyloid precursor-protein (APP) by β-secretase and γ-secretase, generating a peptide that most often begins 99 amino acids (aa) from the C-terminus of APP with Asp1 and contains the next 37–42 aa of the APP sequence, generating a range of peptides (Aβ1–37, 38, 39, 40, and 42). The longer of these peptides can be detected in toxic amyloid aggregates in the brain, associated with AD and other neurodegenerative disorders . As APP gene is located on human chromosome 21, people with Down Syndrome (DS, caused by trisomy 21 (T21)) are born with one extra copy of this gene, which increases their risk of developing AD. Non-DS (euploid) people inheriting triplication of the APP gene alone (DupAPP) develop AD symptoms by age 60 with 100% penetrance. Paradoxically, only ~70% of people with DS develop clinical dementia by age 60, suggesting the presence of other unknown chromosome 21-located genes that modulate the age of dementia onset [6, 7]. A number of secretases participate in the physiological cleavage of APP [1, 8], generating various peptides involved in neuronal pathology. BACE1 is the main β-secretase in the brain , whereas the expression and function of its homologue BACE2 (encoded by a chromosome 21 gene) remain less clear [10, 11]. At least three different activities of BACE2 were recorded with regards to APP processing: as an auxiliary β-secretase (pro-amyloidogenic), as a θ-secretase (degrading the β-CTF and preventing the formation of Aβ), and as Aβ-degrading protease (AβDP) (degrading synthetic Aβ-peptides at extremely acidic pH). It remains unclear which of these activities reflect the role of BACE2 in AD. The potential activity of BACE2 as an anti-amyloidogenic θ-secretase can be predicted from studies on a variety of transfected cell lines that overexpress APP, and artificially manipulate the dose of BACE2 [12,13,14,15]. These studies uncovered that BACE2 can cleave the product of β-secretase (APP β-CTF) between aa19 and aa20, generating a 1–19 fragment [13,14,15], thereby potentially preventing the formation of amyloidogenic Aβ, and degrading the β-CTF that has been implicated in neuronal toxicity, and impairment of several neuronal functions, such as axonal transport and autophagy . When offered synthetic Aβ40/42 peptides in solution, purified BACE2 protein can rapidly degrade them by cutting after aa20 and aa34, to generate the 1–20 and 1–34 peptide products, but only at very acidic pH (3.5–4). In this reaction, BACE2 is 150-fold more efficient than BACE1, which is also capable of this cleavage, upon conditions of increased enzyme concentration/time [12, 14]. Neither of these two putative anti-amyloidogenic actions of BACE2 (the θ-secretase activity, generating aa1–19, or the Aβ-degrading protease activity (AβDP or Aβ clearance) generating aa1–20 and aa1–34), have yet been demonstrated to be the functional role of BACE2 under physiologically fluctuating gene doses in vivo in the human brain. A naturally occurring form of gene overdose for both APP and BACE2 is DS, caused by the trisomy of human chromosome 21 (T21) that harbours both APP and BACE2 genes. As increased levels of soluble Aβ were observed already in foetal brains in DS , we examined cerebral organoids grown from induced pluripotent stem cells (iPSC) generated by non-integrational reprogramming of primary cells donated by people with DS, including an isogenic DS (T21) iPSC model , as a platform to analyse the T21-specific effects on APP proteolytic processing.
Trisomy 21 (but not DupAPP) skews the ratios of Aβ non-amyloidogenic peptides
We compared organoids from isogenic iPSC clones, derived from the same individual with DS, mosaic for T21 and normal disomy 21 (D21) cells . Cerebral organoids were derived following a published protocol , and shown to contain neurons expressing markers of all six layers of the human cortex (Supplementary Fig. 1) and no significant difference in the proportions of neurons and astrocytes between the D21 and T21 organoids (Supplementary Fig. 2). The integrity and copy number of the iPSC lines were validated at the point of starting the organoid differentiation, for chromosome 21 (Supplementary Fig. 3), and the whole genome (available on request). T21/D21 status was further verified by interphase Fluorescence In Situ Hybridization (FISH) on mature organoid slices, (Supplementary Fig. 4a). The C-terminal region of APP can be processed by the sequential action of different proteases to produce a range of protein fragments and peptide species, including Aβ (Supplementary Fig. 5). Aβ peptide profiles were analysed from organoid-conditioned media (CM) whereby each CM sample was taken from a 6 cm dish culturing a pool of 12–16 organoids derived from one iPSC clone, in total: n = 15 CM samples for Exp1 (three trisomic isogenic clones, two disomic isogenic clones, three timepoints each), n = 12 CM samples for Exp2 (two trisomic isogenic clones, two disomic isogenic clones, three timepoints each) and n = 20 CM samples for Exp3 (one trisomic isogenic clone, one disomic isogenic clone, one DupAPP clone, one line each for two different unrelated DS individuals, four timepoints each). CM was collected at timepoints between days 100–137 of culturing and analysed using immunoprecipitation in combination with mass spectrometry (IP-MS) . Please see “Methods” and “Supplementary Data” sections for more detailed explanations, and statistical controls used for individual iPSC line-to-line comparisons (Fig. 1a). Relative ratios were calculated of areas under the peak between the peptides of interest within a single mass spectrum (raw data example in Supplementary Fig. 6d), therefore unaffected by the variability in the total cell mass between wells growing organoids. The proportions of non-amyloidogenic peptides with the signature of BACE2 cleavage products, both as a putative θ-secretase (as reflected by the Aβ1–19 product) and putative AβDP or Aβ-clearance products (Aβ1–20 & 1–34), or combined, (relative to the sum of Aβ amyloidogenic peptides (Aβ1–38 & 1–39 & 1–40 & 1–42)) were approximately doubled in CM from T21 organoids, compared with isogenic normal controls, and reached levels of >80% of the amyloidogenic peptide levels (Fig. 1a). This result was fully reproduced in three independent experiments, each starting from undifferentiated iPSCs (three vertical columns of graphs in Fig. 1a). In experiment 3, more recently generated iPSC lines from different individuals were introduced; from a euploid patient with FEOAD caused by DupAPP , and from two unrelated people with DS (Supplementary Figs. 1–3). The 1–34 & 1–20/amyloidogenic ratios were not significantly different between D21 and DupAPP lines, suggesting the third copy of the APP gene alone did not cause any change in this ratio. Ratios of 1–34 & 1–20/amyloidogenic peptides and combined BACE2-products/amyloidogenics were significantly increased in T21 clones (combining all three T21 individuals) compared with D21 or DupAPP lines (Fig. 1a). The ratio of 1–19/amyloidogenics was significantly higher in T21 clones from the isogenic model, compared with its disomic isogenic control, and compared with DupAPP, but it was unchanged in the other two unrelated DS iPSC lines (see also Supplementary Information for a more-detailed explanation). As the proportions of BACE2-unrelated α-site cleavage products (1–16, 1–17) were not different between T21 and isogenic D21 organoids (in any of the three experiments) (Fig. 1a), it can be predicted that the increased presence of 1–19, 1–20, and 1–34 peptides in T21 contributes towards an overall increase in soluble peptides that are non-amyloidogenic. The validity of this prediction was tested by an independent biochemical method (ELISA), by measuring the Aβ-peptide concentrations within the isogenic T21:D21 organoid CM comparison, which showed an increase in absolute concentrations caused by T21 for each Aβ 1–38, 1–40, and 1–42, with no difference in the Aβ 1–42/1–40 ratio between T21 and isogenic D21 clones, mirroring the readout in the absolute levels of IP-MS peaks (Supplementary Fig. 6). Analysis of IP-MS area under peak (used in Fig. 1 to calculate relative ratios) showed a near linear correlation when plotted against absolute peptide concentrations measured by ELISA, for each Aβ 1–38, 1–40, and 1–42 (Supplementary Fig. 6), validating our relative ratio calculations by an independent biochemical method.
To estimate the contribution of BACE2 towards the anti-amyloidogenic pathway relative to other anti-amyloidogenic cleavages at the α-site, we calculated the peptide ratios of 1–19/1–16 or 1–17 (θ secretase/α secretase products) and 1–34/1–16 or 1–17 (BACE2-AβDP/α secretase products). We observed that T21 organoids produce statistically highly significant increases in all four of these ratios, relative to isogenic D21, or non-isogenic DupAPP organoids (Fig. 1b). Therefore, we conclude that T21 causes these effects in our organoid system. The D21 ratios were not significantly different to DupAPP, suggesting that the third copy of genes other than APP causes these effects. These peptide profiling data strongly favour the hypothesis of a genetic dose-sensitive anti-amyloidogenic action of BACE2.
Non-amyloidogenic Aβ peptide ratios mirror between T21 organoids and DS-CSF
In order to assess if the peptide ratio differences from Fig. 1b have any relevance in vivo, we analysed the Aβ-peptide profiles immunoprecipitated from human cerebrospinal fluid (CSF). We have previously produced IP-MS data on CSF from people with DS and age-matched controls . We repeated the calculations shown for organoids in Fig. 1b, on IP-MS results from CSF samples from DS (n = 17) and age-matched euploid people (n = 12). All four relative ratio calculations showed an increase in peptide ratios in CSF from people with DS, compared with age-matched euploid controls, of which three comparisons were statistically highly significant (Fig. 1c). This suggests that in DS brains, the third copy of BACE2 skews the anti-amyloidogenic processing significantly towards BACE2-cleavages, relative to other anti-amyloidogenic enzymes cleaving at the α-site. Importantly, these CSF results validate the in vivo relevance of the peptide ratios obtained using CM from iPSC-derived cerebral organoids (comparison of Fig. 1b and Fig. 1c).
Aβ-degrading activity of BACE2 is cross-inhibited by clinically trialed BACE1 inhibitors
Chemical inhibition of BACE1 remains an attractive therapeutic strategy for AD. As BACE2 is a homologous protein, most inhibitors tested in clinical trials also cross-inhibit the (pro-amyloidogenic) β-secretase activity of BACE2, which has been proven as the cause of several unwanted side-effects, such as skin pigmentation changes. As our data suggest that the opposite, Aβ-degrading, activity of BACE2 has an important role, we designed a new FRET-based in vitro assay, in which efficient AβDP-cutting after Aβ aa34 by BACE2 at pH=3.5 could be measured (Fig. 2), whereas zero activity by BACE1 was detectable under same conditions (Supplementary Information). We demonstrated that at least two BACE1 inhibitor compounds (of which one recently used in clinical trials) inhibit the AβDP (Aβ-clearance) activity of BACE2 in a dose-dependent manner (Fig. 2). This has, to our knowledge, so far not been shown, and could provide an additional explanation for the failure of some BACE1 inhibitor clinical trials, and should be taken in consideration when testing new inhibitors.
AβDP product (Aβx-34) colocalises with BACE2 in human brain and organoid neurons
As in vitro experiments showed that BACE2 can very efficiently cleave the Aβ34 site in the FRET peptide (Fig. 2) and synthetic Aβ1–40 peptide in solution at an acidic pH , we sought to visualize if the presence of the substrate (Aβ1–40), enzyme (BACE2), and one of the products of this reaction (Aβ1–34) can be detected in our organoids, in a subcellular compartment known to be acidic. First, by immunofluorescence (IF) using pan-anti-Aβ (4G8), anti-BACE2, or neo-epitope-specific antibodies against Aβx-40 and Aβx-34 , we detected significantly higher signals (normalized to pan-neuronal marker) in T21 organoid neurons, compared with isogenic D21 ones (Supplementary Fig. 4b–d). Pearson’s coefficient showed a high level of colocalisation (>0.55) of both the main substrate (Aβx-40) and its putative degradation product (Aβx-34) with BACE2 in neurons of cerebral organoids, in LAMP2+ compartment (known to be a subset of lyzosomes, therefore low pH vesicles) (Fig. 3 & Supplementary Fig. 7). In comparison, the Pearson’s coefficient for BACE1 with Aβx-34 was only 0.16 (Fig. 3 & Supplementary Fig. 7), and its pattern of subcellular localization was different to BACE2 (high colocalization with Rab7 and Sortilin, much lower with LAMP2). Using IF on human brain sections, a similar highly significant difference was observed (Fig. 4a, b): Aβx-34 colocalised with BACE2 (0.52 (±0.034 SEM)) as opposed to BACE1 (0.01 (±0.021 SEM)). The colocalised signal of Aβx-34 and BACE2 was seen in three categories of objects (Fig. 4), in all analysed samples: four individual DS-AD brains (Fig. 4a–c), five euploid sporadic AD subjects (example in Supplementary Fig. 8a, for complete list of brain samples see Supplementary Table 1) and (in the fine vesicle compartment only) in five non-demented control euploid subjects’ neurons (age 42–84), as well as DS brain from a 28 yr old with no plaques or dementia, (examples in Fig. 4d, for complete list of brain samples see Supplementary Table 1). Lambda scanning and Sudan black B stainings were independently used to subtract the autofluorescence of lipofuscin granules (Supplementary Fig. 8f, g). This has proven that the fine-vesicular pattern and large amorphous extracellular aggregates are not autofluorescent lipofuscin granules, but real colocalisations of BACE2 and Aβx-34 (Supplementary Fig. 8). Colocalised signals of Aβx-34 and BACE2 were particularly strong in areas surrounding neuritic plaques (Fig. 4a–c).
As AβDP cleavage by BACE2 is efficient only at low pH, we sought to analyse in more detail the BACE2 and Aβx-34 colocalisation in highly acidic cellular compartments. For this reason, we co-stained lysosome markers LAMP1 or LAMP2 with Aβx-34. In addition, macro-autophagic vacuoles containing Aβ were shown to accumulate in AD distended neurites , which is why we also stained with the macro-autophagosome marker LC3A. As we further found that Aβx-34 did not colocalise with LAMP1 or LC3A, but colocalised strongly with LAMP2 (Fig. 3, Supplementary Fig. 7 and Supplementary Information), we tested colocalisation with the components of an alternative autophagy pathway: chaperone-mediated autophagy (CMA), and found a very high level of colocalisation (Fig. 3).
Trisomy of BACE2 skews non-amyloidogenic Aβ peptide ratios and suppresses AD-like pathology in organoids
Using CRISPR/SpCas9-HF1, we eliminated a single copy of BACE2 in the trisomic iPSC clone C5 (T21C5∆7, a ∆7 bp in BACE2 exon3, knocking out one of three copies of the gene), while maintaining the trisomy of the rest of chromosome 21 (Fig. 5a–c, Supplementary Fig. 9, Supplementary Information). Total actin-normalised BACE2 signal showed a 27–34% reduction in Δ7 compared with T21 unedited clone, and no significant difference compared with D21 control (Fig. 5c, Supplementary Fig. 10). Total protein level of APP in ∆7 remained at trisomic levels, significantly increased compared with the disomic control (Supplementary Fig. 10). The CRISPR-edited iPSCs formed cerebral organoids expressing markers of all six neuronal layers by 48 days in vitro (DIV) (Supplementary Fig. 9c). The CRISPR correction of BACE2 gene dose from three to two, resulted in a significant decrease in levels of putative BACE2-AβDP (Aβ-clearance) products (1–20 & 1–34), as well as total BACE2-related non-amyloidogenic peptides (1–19 & 1–20 & 1–34), relative to amyloidogenic peptides (Fig. 5d). This pinpoints the triplication of BACE2 as a likely cause of specific anti-amyloidogenic T21 effects we observed in Fig. 1a. Furthermore, we used two different dyes to detect any presence of amyloid deposits (the traditional Thioflavine S, and a newer, more sensitive dye AmyloGlo ) in organoid sections. Remarkably, elimination of the third BACE2 copy caused the T21 organoids (that had not shown any overt amyloid deposits at 100DIV, see T21C5 in Supplementary Fig. 11, top row) to develop extremely early AD-plaque-like deposits (AmyloGlo+ and Thioflavine S+) in the cortical part of the organoid by 48DIV (Supplementary Fig. 11, middle row), that progressed aggressively and became much stronger and denser by 96 DIV, accompanied by massive cell death (Supplementary Fig. 11, bottom row, Supplementary Fig. 12).
In order to prove that extracellular deposits staining positively with amyloid dyes really are related to hyperproduction of Aβ amyloidogenic peptides, we cultured T21C5∆7 organoids in media containing high concentrations of β and γ secretase inhibitors. Early T21C5 and T21C5∆7 organoids were treated with a combination of β-secretase inhibitor IV and compound E (γ secretase inhibitor XII) (Supplementary Table 2) from 20DIV to 41DIV (Fig. 6). Amyloid-like deposits were readily detected with AmyloGlo in the untreated and vehicle only treated T21C5∆7 organoids (Fig. 6b), but were completely absent from T21C5∆7 organoids treated with β and γ secretase inhibitors (Fig. 6b, bottom row). Inhibitor treatment also significantly reduced the number of neurons expressing pathologically conformed Tau (TG3-positive cells) in the T21C5∆7 compared with untreated controls (Fig. 6c). No AmyloGlo-positive aggregates or TG3-positive cells were detected in T21C5 organoids under any treatment conditions at DIV41 (Fig. 6a, c) and were also absent in the same organoids at DIV100 (Fig. 7g, l, Supplementary Fig. 11). Also, no obvious deleterious effects of the inhibitors, or vehicle control, could be seen in early unedited T21C5 organoids.
Further histo-pathological verification showed that elimination of one copy of BACE2-triggered progressive accumulation of extracellular deposits that co-stain with Thioflavine S and antibodies against Aβ, both 4G8 and neo-epitope specific Aβx-40 & Aβx-42. The antibody signal intensity in colocalisations with Thioflavine S drastically increased upon pre-treatment with 87% formic acid (Fig. 7a–d), proving that the deposits contain insoluble Aβ material. This is further corroborated by the isolation of fibrillary material from the detergent-insoluble fraction of the CRISPR-edited organoid. When viewed by transmission electron microscopy (TEM) the filaments found exhibited a straight morphology of <10 nm diameter (Supplementary Fig. 13a), closely resembling fibrils grown in vitro from synthetic Aβ1–40 peptide (Supplementary Fig. 13c). Furthermore, neuritic plaque-like features were detected by IHC co-staining with Gallyas in CRISPR-edited organoids (Fig. 7m, n), but not their unedited T21 control (Fig. 7l). Human brain from an AD patient is shown for comparison stained with Gallyas (Fig. 7k). Tau pathology was also observed by IHC using the hyperphosphorylated Tau antibody AT8 (Fig. 7e, f), and by IF for conformationally altered Tau (TG3, Fig. 7g–j). The relative increase in the amount of conformationally altered (pathological) Tau in CRISPR-edited organoids T21C5Δ7, compared with unedited T21 control organoids, was also independently confirmed by immunoblotting using TG3 antibody. As shown in Fig. 7o, the protein material isolated from T21C5Δ7 organoids produced significantly more TG3 signal than unedited controls, albeit having a weaker signal with the general 3R-Tau antibody (consistent with the observed neuronal loss, Supplementary Fig. 12).
AD-like pathology develops reproducibly in unedited cerebral organoids from 71% of DS donors, and it is donor-specific
Our data in Figs. 5–7 show that severing the BACE2 dose by a third, using CRISPR/Cas9, might tip the balance against the anti-amyloidogenic activity, and provoke AD-like pathology. Our data in Fig. 1 suggest that anti-amyloidogenic activity of BACE2 is gene dose dependent, and its level varies between individuals, and it has been previously reported that SNP allelic differences in BACE2 gene correlate with age of dementia onset in DS . We therefore hypothesized that organoids grown from some people with DS may develop AD-like pathology without any CRISPR-Cas9 intervention. We then tested this hypothesis using iPSC lines from six different individuals with DS, and one DupAPP patient (Table 1). We detected amyloid-like aggregates (both diffuse and compact in appearance) in 5/7 unedited iPSC-derived organoids from people with DS, and one with DupAPP (Fig. 8). The two donors whose iPSC-organoids did not show pathology are (i) the T21 iPSC from our isogenic model (whose clinical status is unknown) and (ii) QM-DS6, a donor who remains free from dementia symptoms at age 37 (Table 1). Organoids from another five DS donors, and one DupAPP patient, (all diagnosed with clinical dementia) all showed presence of diffuse and compact amyloid-like deposits (Fig. 8) as well as presence of neuritic plaque-like features (focal hyperphosphorylated tau (AT8+), conformationally altered tau (TG3+), and filamentous Tau (AT100+)) within neuropil neurites within plaque-like circular foci (Fig. 9a–n). This was corroborated by Gallyas intraneuronal positivity (Fig. 9o–t). Similarly as for T21C5Δ7, we were able to isolate fibrillary material from the detergent-insoluble fraction of QM-DupAPP organoid (Supplementary Fig. 13b), that on TEM resembled fibrils grown in vitro from synthetic Aβ1–40 peptide (Supplementary Fig. 13c). Most importantly: tested individual organoids from one donor (from multiple iPSC clones and multiple independent experiments) either all did (DupAPP, QM-DS1-5), or all did not (isogenic T21, QM-DS6) show AD-like pathology (Table 1), proving the pathology is donor dependent. This open possibilities of developing assays for pre-therapy risk-stratification and individualized drug–response quantitation. In order to further test the hypothesis that decreasing the level of BACE2 may provoke some AD-like pathology in organoids, we artificially decreased the level of BACE2 using shRNA, in the QM-DS6 patient’s iPSCs, that did not show AD-like pathology. The shRNA succeeded in decreasing the BACE2 protein level by only 28%, (Supplementary Fig. 14a) similar to the CRISPR correction of three to two copies shown in Fig. 5. This intervention indeed provoked early (46DIV) presence of AmyloGlo+ aggregates, and a significant increase in TG3+ neurons (showing pathologically conformed Tau), (Supplementary Fig. 14b,c). Therefore, we conclude that correction of the trisomic over-expression of BACE2 in two different and independent individuals with DS (one using CRISPR, one using shRNA) both provoked a similar early AD-like pathology.
Several human brain studies show detectable expression and β-secretase activity of BACE2, though at much lower levels than that of BACE1 [27,28,29,30]. Chemical inhibition of β-secretase activity is an attractive therapeutic approach aimed at reducing the production of Aβ [31,32,33]. Complete knockout of Bace1 abolished all β-secretase activity in mouse neurons, while leaving some degree of β-secretase activity in astrocytes . This activity was abolished by the complete knockout of both Bace1 and Bace2, leading to a hypothesis that a BACE2-driven β-secretase activity in astrocytes may contribute to accelerate the Aβ-production and AD pathology in DS . In human brain, the β-secretase activity of BACE1 correlated positively with the amount of Aβ, whereas the β-secretase activity of BACE2 did not . On the other hand, SNPs at the BACE2 locus (and not BACE1) correlate with the age of onset of dementia in people with DS , as well as sporadic LOAD in euploid people in the Finnish population , and a recent report showed that a de novo intronic deletion within one allele of BACE2 caused EOAD in a 50-year-old euploid person .
All of the above data implicate that a single allele alteration in the genetic dose of BACE2 is capable of affecting the risk of AD dementia, but do not resolve the question whether BACE2 per se acts predominantly as an accelerator, or a suppressor of AD pathology. The answer to this question requires clarification, as most chemical inhibitors used in clinical trials have dual activity against BACE1 and BACE2 [32, 37].
The increased ratios of 1–20 & 1–34 (BACE2-AβDP) to the amyloidogenic and α-site products are among our most consistent and robust observations in T21 organoid CM and DS-CSF (Fig. 1b, c). The 1–34 generating cleavage can only occur after the cuts by both β- and γ-secretases have released Aβ, because the hidden transmembrane site between aa34 and aa35 is inaccessible to any proteolytic enzymes until the soluble Aβ (1–37 to 1–42) molecules are released from the membrane [12, 13]. Therefore, the Aβ1-34 species can only be a product of an AβDP activity (a catabolic degradation or clearance of an already made Aβ1–37 to 1–42 peptides). Besides BACE2, the only enzymes with potential to cleave the peptide bond Leu34–Met35 are BACE1 [12, 14], and extracellular matrix (ECM) metalloproteinases (MMP2 and MMP9) , since no other Aβ-degrading enzymes (neither IDE, nor NEP, nor ECE) are known to cleave at this site . BACE1 action is unlikely to cause the increased ratios we observe, as BACE1 can only generate this cut in solution at very high enzyme concentration and after prolonged incubation .
To further corroborate this point, we designed a novel FRET-assay and established the conditions in which BACE2 can efficiently cleave at Aβ34 site (Fig. 2) in 2 hours, conditions under which BACE1 activity at the Aβ34 site was undetectable (Supplementary Information). We also demonstrated that two BACE1 inhibitors (β-Secretase Inhibitor IV—CAS 797035-11-1 (Calbiochem, originally a Merck compound)), and LY2886721 (Eli Lilly compound recently used in clinical trials) both inhibit the AβDP activity of BACE2 in vitro, whereas the γ–secretase inhibitor (DAPT) had no effect.
This suggests that the AβDP activity (cutting the peptide bond Leu34–Met35) has a different enzymatic preference, conditions, and pH, as compared with the classical β-secretase cleavage that both BACE1 and BACE2 are capable of. As FRET assays cleaving this classical (before Asp1) site are generally used to measure the BACE1 inhibitors’ selectivity for BACE1 or BACE2, our data suggest that the degree of selectivity for any given inhibitor calculated this way, does not necessarily reflect whether the same selectivity would apply for their cross-inhibition of the Leu34–Met35 site cleavage (AβDP) activity. Interestingly, the presence of the Aβx-34 degradation product, both alone  and colocalising with BACE2 (Fig. 4) show elevated levels in cells and extracellular aggregates immediately surrounding neuritic plaques, suggesting BACE2 degradation of not only newly produced Aβ, but also of Aβ that is released and re-deposited (from and to) existing deposits. A recent report on widespread somatic changes in individual neurons suggests an additional mechanism for the production of toxic Aβ species, including products that do not require secretase cleavage , underscoring the importance of efficient Aβ degrading mechanisms that protect from AD, such as the one exerted by BACE2 that we describe here.
A recent mouse model has shown that introducing a third dose of chromosome 21 to a mouse that several hundred fold overexpresses Aβ40 and 42 worsens the amyloid plaque load, and this correlates with an unexpected decrease in the Aβ40/42 ratio . This unfavourable ratio effect (the cause of which is unknown) is expected to worsen the plaque load and AD pathology, and a mere 1.5× increase of Bace2 dose in this mouse model has no chance in protecting the mouse against a >100× overload of Aβ. In another mouse model, where transgenic BACE2 was artificially over-expressed together with transgenic wtAPP, it actually decreased Aβ40 and 42 to the wt mouse control levels, and the presence of BACE2 transgene reversed behavioural pathologies seen in TgAPP mouse .
This indicates that a balance of doses of APP and BACE2 affects levels of soluble Aβ40 and 42, and their oligomerization and aggregation as a consequence. Our results in Figs. 5–7 further corroborate that a significant disturbance of this balance by a reduction in BACE2 copy number is sufficient to cause an early AD-like pathology in T21 cerebral organoids. We did not see any amyloid plaque-like structures at >100DIV organoids from three independent T21 iPSC clones (or normal disomic clones) of our isogenic system (Supplementary Figs. 1, 2, 4, 7, 11, 15, Figs. 3, 7, 8). Surprisingly, CRISPR/Cas9 elimination of the third copy of BACE2 in the same T21 clone caused widespread AmyloGlo+ deposits at 41DIV, and widespread neuritic plaque-like structures with profound neuron loss (Supplementary Figs. 11, 12) and Tau pathology at 96DIV (Figs. 6, 7). Our data in Fig. 1 suggest that anti-amyloidogenic activity of BACE2 is gene dose dependent, and its level varies between individuals, with SNP allelic differences in BACE2 correlating with age of dementia onset . We therefore hypothesized that organoids grown from some people with DS may develop AD-like pathology without any CRISPR-Cas9 intervention. Diffuse amyloid plaque-like appearance with Tau pathology was recently reported in 110 days old cerebral organoids from only a single clone of a single DS-hiPSC line  so far. We subsequently analysed iPSC-derived organoids at approximately the same cell culture age from a total of seven different individuals with DS and one with DupAPP. We found flagrant AD-like pathological changes in 5/7 DS tested (71%), as well as the one DupAPP. Very interestingly, when this assessment was repeated in independent experiments, and when individual organoids from a single experiment were compared, it was a black/white picture: either they all had AD-like pathology, or none did, driven solely by the genotype of the donor (Table 1). Our data, though not conclusive, are illustrative of the stratifying potential of this technology. For example, the cerebral organoids from individual QM-DS3 showed the worst AD-like pathology with fibrillary amyloid deposits (Fig. 8f, i, j, Table 1), and this individual was diagnosed with dementia at age 37. In contrast, organoids from individual QM-DS6 showed no pathology (Fig. 8b, Table 1), and this individual was also dementia free at age 37. This opens up possibilities for finding correlations with clinical parameters, for which a much larger number of individuals would have to be tested. Concordantly with our hypothesis, when QM-DS6 iPSCs had their BACE2 level lowered by 28% using an shRNA construct, this provoked early amyloid and Tau pathology in otherwise pathology-negative organoids (Supplementary Fig. 14).
To confirm that the AmyloGlo deposits were in fact aggregated β-amyloid containing material, early organoids were treated with a combination of β-secretase inhibitor IV (βI-IV) and gamma secretase inhibitor XII (Compound E) (Fig. 6a, b). The combination of these inhibitors should prevent any production of Aβ, and therefore eliminate AmyloGlo positivity. After treatment for 21 days, the inhibitor treatment did indeed prevent the formation of plaque-like deposits within T21C5Δ7 organoids, confirming that such deposits are comprised of β-amyloid. The same treatment conditions also significantly reduced the number of TG3-positive cells in T21C5Δ7 organoids (Fig. 6c), highlighting the ability to modulate both amyloid and tau pathology in the cerebral organoid system. This also demonstrates the feasibility of using this AD-like organoid pathology in future hypothesis-free drug screens for chemical compounds that may prevent/inhibit amyloid production or aggregation.
In view of our results, it becomes inviting to hypothesize that triplication of BACE2 may be the cause of the delayed onset of dementia in 30% of people with DS compared with DupAPP , and (because of the predicted abundance of BACE2 mRNA in endothelial cells) also the cause of a significantly lower degree of cerebral amyloid angiopathy (CAA) in the brains of people with DS compared with those of DupAPP . Our organoid system is not informative in this regard, as we could not detect any endothelial cells in our organoids (not shown). This, however, is also an advantage, as it allows uncovering the mechanisms that are specific to neurons in the absence of endothelial or blood cell-derived tissue components.
In neurons, a recent report also found that an increased APP dose may act (through an unknown mechanism) as a transcriptional repressor of several chromosome 21 genes, including BACE2 . This observation needs further verification and mechanistic explanation, but if true, it would imply that the protective effect of the third copy of BACE2 in DS that we observe is actually quenched by the third copy of APP, which opens up possibilities of chemically intervening to inhibit this transcriptional repression and potentially unleash a much greater degree of BACE2 protection. An integration of the two observations (the one in  and the one in our report) suggests this could be exploited as an additional new protective/therapeutic strategy for AD in general.
We found, surprisingly, an equally high or higher level of colocalisation of Aβx-34 with LAMP2A, as with the general LAMP2 (Fig. 3). The high level of colocalisation with LAMP2A and absence of colocalisation with either LC3A or LAMP1 (Fig. 3) suggest that AβDP activity of BACE2 that generates Aβ34 is not related to classical lysosomal degradation or macroautophagy, but rather could be related to a CMA-like process [46, 47]. The only published study that linked CMA with APP processing  found a motif that satisfies the criteria for a CMA-recognition KFERQ motif at the very C-terminus of APP (KFFEQ), and this paper demonstrated that C99 (β-CTF) can bind HSC70. However, paradoxically, when this motif is deleted from the β-CTF, the binding to HSC70 is not abolished, but rather increased, suggesting the presence of another, alternative CMA-recognition motif within the β-CTF peptide . The association of the AβDP x-34 product with LAMP2A/CMA compartment is a provocative new observation that requires further studies.
In conclusion, we found that relative levels of specific non-amyloidogenic and AβDP (Aβ-clearance) products are higher in T21 organoids and DS-CSF, and they respond to the dose of BACE2 (and not APP). We also demonstrated that BACE2-AβDP activity generating one of these products can be cross-inhibited in solution by recently clinically tested BACE1 inhibitors. All components of the AβDP degradation reaction (hitherto only demonstrated in solution in vitro): the main substrate (Aβx-40), the enzyme (BACE2), and its putative degradation product (Aβx-34), we found highly colocalised in discrete intracellular vesicles in human brain neurons, (and not astrocytes), suggesting that at least some of the AβDP activity generating Aβx-34 takes place intra-neuronally and physiologically during lifetime, before the onset of AD pathology, in both normal and DS brains. Furthermore, we directly demonstrated that the trisomic level of BACE2 protected T21-hiPSC organoids from early AD-like amyloid plaque pathology, therefore proving the physiological role of BACE2 as an AD-suppressor gene. The BACE2’s θ-secretase anti-amyloidogenic cleavage and the AβDP degradation actions could both be contributing to an overall AD-suppressive effect. Regardless of the contribution of each of these modes of action, our combined data suggest that increasing the action of BACE2 could be exploited as a therapeutic/protective strategy to delay the onset of AD, whereas cross-inhibition of BACE2-AβDP activity by BACE1 inhibitors would have the unwanted worsening effects on disease progression. We also show that cerebral organoids from genome-unedited iPSCs could be explored as a system for pre-morbid detection of high-risk population for AD, as well as for identification of natural dose-sensitive AD-suppressor genes.
Human subjects—clinical assessment
Human subjects were participants in the “The London Down Syndrome Consortium (LonDownS): an integrated study of cognition and risk for AD in Down Syndrome” inter-disciplinary study, enrolled after informed consent, as per ethical approval 13/WA/0194, IRAS project ID:120344 see http://www.ucl.ac.uk/london-down-syndrome-consortium). Dementia diagnostic status was obtained via carer report and medical records, based on assessment by the individual’s own clinician. To confirm diagnoses, we collected detailed data on dementia symptoms from the Cambridge Examination for Mental Disorders of Older People with Down’s Syndrome and Others with Intellectual Disabilities (CAMDEX), a clinical tool used for diagnosing dementia in individuals with DS. This was independently reviewed by two psychiatrists. One iPSC line (QM-DS1) was established from an individual 40 year old who was diagnosed with dementia aged 40. Consensus ratings agreed that this individual showed signs of dementia and died 2 years later following significant decline. AD was noted as the cause of death. Another line came from an individual (QM-DS2) who was diagnosed with dementia aged 63. The sample was taken at age 67 and at this time point, consensus was that the individual presented with signs indicative of possible dementia. This individual was still alive for follow up 2 years later, with a confirmed diagnosis of AD-dementia and AD-related seizures developed at age 68. The third line came from an individual diagnosed with dementia at age 37 (QM-DS3). Another line came from the individual QM-DS6, who donated hair at age 31, and remains dementia free after follow up at age 37. The age, sex, ApoE genotype, and dementia status of all other individuals are detailed in Table 1.
Primary hair follicle keratinocyte sampling
Upon specific informed consent, three to six individual strands of hair were non-invasively plucked from the scalp hair of donor subjects, and placed in transport medium (DMEM (Sigma D5546), 2 mm glutamine (Sigma G7513), 1x Pen/Strep (Sigma, P4333), 10% foetal calf serum). Upon arrival to the laboratory, hair follicles were placed in collagen coated T25 flasks in KGM2 medium (Lonza CC-3107) and incubated at 37 °C, 5% CO2. Primary keratinocyte cultures were split after reaching 35–50% confluency using 0.05% Trypsin/0.02% EDTA.
Reprogramming of primary keratinocytes
Primary keratinocyte cultures were expanded to 70% confluency, electroporated with plasmids encoding reprogramming factors in episomal vectors (non-integrational reprogramming), and transferred to 0.1% gelatin coated wells (six-well plate), pre-seeded with mitotically disabled mouse embryonic fibroblast (MEF) feeder cells. Specifically, trypsinised 700,000 keratinocytes were washed once with sterile PBS and electroporated using the Nucleofector 4D (Lonza, X-module apparatus, kit V4XP-3024, programme DS138, following manufacturer’s instructions) with 3 µg of the episomal plasmid mix (equimolar mixture of plasmids obtained from Addgene: pCE-hOct3/4, pCE-hSK, pCE-hUL, pCE-mp53DD and pCXB-EBNA1). After electroporation, cells were transferred from the cuvette to KGM2 medium (Lonza CC-3103 and CC-4125). Solution was gently mixed and transferred to the six-well plate with feeders. On day 2 (48 hours after electroporation) medium was removed and replaced with fresh KGM2 medium. On the day 4, the medium was switched to standard human embryonic stem cell (hESC) medium (high glucose DMEM with 20% Knockout Serum Replacement, non-essential amino acids, Glutamax+penstrep (Life Technologies), 2-mercaptoethanol (100 µm) with 10–20 ng/mL of FGF2). From day 10 onwards, MEF-CM supplemented with 10–20 ng/mL of FGF2 was used. By day 20, iPSC colonies were observed. After day 30, large iPSC colonies were mechanically picked, and expanded using ReLeSR and hESC medium plus ROCK inhibitor (Y-27632, Stem Cell Technologies). The iPSC lines were generated in this way from six unrelated people with DS (QM-DS1, QM-DS2, QM-DS3, QM-DS4, QM-DS5, and QM-DS6, respectively, detailed in Table 1). The iPSCs from a 64-year-old euploid patient with FEOAD caused by DupAPP  (QM-DupAPP) were generated from peripheral blood mononuclear cells, using the same non-integrational episomal reprogramming vectors as above, and a modified protocol. Specifically, 106 PBMCs were electroporated with 3 µg of episomal plasmids (equimolar) using program EO-115 and solution p3 on the Amaxa 4D nucleofector. Electroporated PBMCs were transferred into one well of a six-well plate seeded with MEFs in PBMC recovery medium (RPMI supplemented with 200 µm 1-thioglycerol (Sigma M6145), 1 µm Dexamethasone (Sigma D1756), 2 U/ml Erythropoietin (R&D Systems 287-TC-500), 100 µg/ml Holo-transferrin (R&D Systems 2914-HT), 40 ng/ml IGF-1 (Peprotech 100-11), 10 ng/ml IL-3 (Peprotech 200-03), 100 ng/ml SCF (Peprotech 300-07). After 2 days, 2 ml of PBMC recovery medium was added to transfected cells. After another 2 days, PBMC recovery medium was replaced every second day with hESC medium supplemented with 10 ng/ml FGF2. Visible iPSC colonies were mechanically picked and expanded as per the keratinocyte reprogramming protocol. The iPSCs for the isogenic DS model included isogenic clones derived from an individual with DS mosaic for T21 were described by us previously : D21C3, D21C7, D21C9 and T21C5, T21C6, T21C13. These were generated by non-integrationally reprogramming primary skin fibroblasts from a person with mosaic DS, using Sendai virus delivered standard Yamanaka OKSM factors. The total number of iPSC clones generated per patient is listed in Table 1. iPSCs were maintained on Geltrex coated plates and cultured in E8 medium (Life Technologies) supplemented with penicillin/streptomycin. Passaging was carried out using ReLESR and 10 μm ROCK inhibitor was included in culture media for 24 hours after passaging.
Cerebral organoids were generated following a published protocol  with the following changes. iPSC lines were first transitioned into feeder free conditions using either mTESR1 or E8 media with geltrex. To form embryoid bodies (EBs), hiPSCs were washed once with PBS, then incubated with Gentle Cell Dissociation Solution (Stemcell Technologies) for 4 mins. This solution was then removed and accutase added and incubated for a further 4 mins. mTESR1/E8 medium at double the volume of accutase was added to the cells and a single cell suspension generated by titurating. Cells were centrifuged to remove accutase and then resuspended in hESC medium supplemented with 4 ng/ml FGF2 and 50micromolar ROCK inhibitor. In all, 9000 cells were used to form a single EB in each well using a V-shaped ultra low attachment 96 well plate (Corning). Specifically, iPSCs were allowed to form EBs in suspension by culturing for 6 days in hESC medium with low FGF, in non-adherent culture dishes. After 5–7 days, EBs were transferred into a 24 well ultra low attachment plate for neural induction. Neural induction was achieved by culturing for further 5–7 days in DMEM-F12 supplemented with 1% of each: N2, GlutaMAX, and MEM-NEAA, plus 1 μg/ml heparin. Neurally induced EBs showing neuroectodermal “clearing” in brightlight microscopy were embedded in matrigel droplets, and transferred to 6 cm dishes containing organoid differentiation medium-A, (for 4–5 days), followed by organoid differentiation medium+A . Organoid maturation was carried out with 12–16 organoids per 6 cm dish on an orbital shaker at 37 °C, 5% CO2. Aliquots of CM were collected from mature organoids (100–137 days old from day of EB formation), 3–4 days after feeding (to allow time for cells to secrete products into the culture media). Three completely independent experiments were carried out each time starting from undifferentiated iPSC stage, and CM was collected at 3–4 timepoints in each experiment. CM was immediately frozen and stored at −80 °C.
For inhibitor treatment, organoids were treated from 20DIV (6 days after embedding in matrigel) to 41DIV. βI-IV and Compound E were added freshly to the media before use at final concentrations of 2.5 μm and 6 nm, respectively. Media was replaced every 3–4 days during treatment. DMSO of the same volume was used as a vehicle only control.
CM from organoids was analysed by IP-MS, using a previously described method . The team performing the MS was blinded to the genotypes in all experiments. In exp1, all three independent trisomic clones (T21C6, T21C5, and T21C13) were compared with two independent disomic clones (D21C3 and D21C7), whereas in exp2, two independent trisomic clones (T21C6 and T21C13) were compared with two independent disomic clones (D21C7 and D21C9).
In exp3, a T21C6 clone was compared with the isogenic D21C9 clone, and to hiPSC lines from three unrelated individuals: a DupAPP FEOAD patient (QM-DupAPP), and two unrelated adult people with DS (QM-DS1 and QM-DS2).
In all three experiments, IP-MS results for all iPSC lines that were used in a particular experiment are shown. IP-MS results were used to calculate the relative ratios of peptides and these ratios were taken as data points for the statistical comparisons.
IP-MS spectra were also obtained from the CSF samples of people with DS and age-matched normal controls. Peak ratios calculated as described above. The cohorts, methods, and spectra behind these data were previously described .
FISH on organoid cryosections was performed as described . In brief, slides were rinsed in PBS, rehydrated in 10 mm sodium citrate buffer and incubated in the same buffer at 80 °C for 20 min. Slides were cooled down and incubated in 2× saline sodium citrate (SSC) for 5 min and in 50% formamide in 2× SSC for 1 h. After incubation slides were covered with previously prepared hybridization chamber and incubated with 10 μL of XA 13/18/21 (D-5607-100-TC, MetaSystems Probes) Probe, protected from the light, at 45°C for 2 h, at 80 °C for 5 min and for 2 days at 37 °C in the water bath. Slides were rinsed with 2× SSC at 37 °C (3 × 15 min) and with 0.12× SSC at 60 °C (2 × 5 min) on the shaker, equilibrated in 2× SSC at 37 °C for 2 min, counterstained with 4′,6-diamidino-2-phenylindole (DAPI) for 10 min and covered with Dako Fluorescent Mounting Medium. Fluorescence was captured on Zeiss LSM800 inverted confocal microscope with Airyscan using ×63 oil-immersed objective. Image analysis was performed using IMARIS ×64-v9.1.2. Software (BITPLANE, An Oxford Instruments Co., Zurich, Switzerland). The spots specific for chromosome 21 were labelled in the red spectrum, whereas the spots specific for chromosome 13 were labelled in the green spectrum. More than 500 nuclei from eight different Z-stacks were evaluated for each clone. Based on the observed number of fluorescent hybridization signals, nuclei were assigned to four different categories, namely “one signal”, “two signals” “three signals” and “>three signals”. Damaged nuclei or overlapped nuclei with other nuclei were not included in scoring.
Immunostaining of organoids
Cerebral organoids derived from iPSCs and grown for indicated number of DIV were fixed in 4% paraformaldehyde (PFA), cryoprotected in 30% sucrose/PBS solution and embedded in OCT. Twenty micron thick sections were cut and mounted on Superfrost Plus slides (Fisher Scientific) for immunostaining.
For immunofluorescent staining, permeabilisation, and blocking was carried out in 3% donkey serum with 0.2% TritonX-100 in PBS for 1 h at room temperature (RT). Primary antibodies (Supplementary Table 3) were diluted in 1% donkey serum with 0.2% TritonX-100 in PBS and incubated overnight at 4 °C. Following washes with PBS, secondary antibodies (Supplementary Table 4) were diluted in 1% donkey serum with 0.2% TritonX-100 in PBS and incubated for 2 h at RT. Following washes with PBS, sections were counterstained with DAPI or DRAQ5 (Supplementary Table 2) for 10 min at RT, washed again and mounted with DAKO fluorescent mounting medium. As negative controls for all antibodies, secondary antibody only controls were carried out (Supplementary Fig. 15).
For western blots, whole-cell lysates of iPSCs (Fig. 5c, Supplementary Fig. 14a) or organoids (Fig. 7o) were separated in a 10% acrylamide gel by SDS-PAGE and transferred to a nitrocellulose membrane according to the manufacturers protocols (Bio-Rad). Following a 60 min incubation in 5% non-fat milk in TBS-T the membrane was incubated with primary and secondary antibodies (Supplementary Tables 3, 4). Quantification was carried out using ImageJ software, strictly using the same membranes re-stained using the antibodies shown. For the protein of interest (BACE2 or TG3), the signal was adjusted to corresponding β-actin loading control for all samples. Such adjusted values for unedited/untargeted cells (n = 4) were set to 1, and used to calculate the fold change for edited/targeted (n = 4) replicates, and the resulting fold change values for pairs run on the same gel were averaged and analysed by student’s t test. Membrane stripping between stainings was carried out using Thermo-Fisher stripping solution, following manufacturer’s instructions.
AmyloGlo and Thioflavine S staining
For AmyloGlo staining, OCT embedded slices were rinsed with PBS, and incubated in 70% ethanol for 5 min at RT, followed by washing with milli Q water for 2 min at RT. Slices were then incubated with AmyloGlo solution for 10 min in the dark at RT, followed by washing in 0.9% saline solution for 5 min at RT, and counterstaining with DRAQ5 for 10 min at RT. Thioflavine S staining was performed as described . OCT embedded slices were rinsed with PBS and incubated with Thioflavine S solution for 10 min in the dark at RT, differentiated in 80% ethanol and counterstained with DRAQ5 for 10 min at RT, rinsed with PBS and mounted with DAKO fluorescent mounting medium.
Formic acid pre-treatment
To increase signal of insoluble β-amyloid material T21C5Δ7 (96DIV) organoid slices were treated with 87% Formic acid for 10 min at RT. After 10 min formic acid was rinsed three times with PBS and samples were immunostained as described above.
Human brain samples
PFA-fixed, paraffin-embedded human anonymized post-mortem brain samples were obtained from the Brain Bank of the Croatian Institute for Brain Research (CIBR), Institute of Pathology of The Royal London Hospital (IP-RLH) and the South West Dementia Brain Bank (UK) (Supplementary Table 1). Slices were cut at 5–10 μm thickness, and stained using primary antibodies, secondary fluorophore-coupled anti-Ig antibodies and their respective dilutions (Supplementary Tables 3, 4).
Immunohistochemistry and immunofluorescence on human brain tissue
PFA-fixed, paraffin-embedded 5–10 μm thick slides were de-paraffinised by incubation in xylene, rehydrated in a graded series of ethanol and rinsed in PBS for 10 min. For antigen retrieval, the slides were steamed in 0.01 m citrate buffer, pH 6.0 at 100 °C for 30 min, cooled and rinsed 3 × 10 min in PBS. On slides used for IHC, endogenous peroxidases were quenched with 0.025% hydrogen peroxide for 30 min at RT and rinsed 3 × 10 min in PBS. Double immunohistochemical staining was performed “Polink DS-MR-Hu A2 Kit for Immunohistochemistry Staining” (GBI Labs, DS202A-18). In brief, Polymer-HRP and AP Double staining kit distinctly labels two different antigens in human tissue, using mouse (GBI-Permanent Red) and rabbit (DAB-brown) antibodies. Single IHC was performed “VECTASTAIN ABC HRP Kit”. For immunofluorescence, following antigen retrieval, slides were incubated in blocking/permeabilisation solution (0.2% Triton X-100 in PBS + 3% donkey serum) for 1 h at RT. The slides were incubated over night at 4 °C with primary antibodies (Supplementary Table 3) in solution (0.2% Triton X-100 in PBS + 1% donkey serum). Next day primary antibodies were rinsed 3 × 5 min in PBS and incubated for 2 h with secondary antibodies (Supplementary Table 4) in 0.2% Triton X-100 in PBS at RT and rinsed 3 × 5 min in PBS. Nuclei were counterstained with DAPI for 10 min, rinsed 3 × 5 min in PBS and mounted with Dako Fluorescent Mounting Medium. In order to distinguish the contribution of lipofuscin autofluorescence to the colocalised signals, specificity of primary antibodies (Aβx-34 and BACE2) has been validated using three different methods: Sudan black B staining (Supplementary Fig. 8a), pre-incubation with BACE2 specific immunogenic peptide (Supplementary Fig. 8b–e) and Lambda (λ) scan function on confocal microscope (Supplementary Fig. 8f, g). Three different samples (DS-AD1, DS (28 yrs) pre-AD and euploid sporadic AD (73 yrs) after IHC were stained with 0.1% Sudan black B in 70% ethanol for 20 min at RT and analysed on confocal microscope with Airyscan. Sample DS-AD1 was stained with antibodies solution, 12 h pre-absorbed with BACE2 specific immunogenic peptide, and analysed on confocal microscope and slide scanner. Lambda scan records a series of individual images within a defined wavelength range (in our case from 630 nm to end of spectrum) and each image was detected at a specific emission wavelength, at 10 nm intervals. For lambda scan analysis, samples were stained with one primary antibody and labelled with far-red secondary antibody (647). As negative control, we used secondary antibody (647) alone and, as additional negative control, one sample was counterstained with DAPI only, without secondary antibody. As we used a far-red (647) antibody, we analysed expression from 630 nm to the end of spectrum at 10 nm intervals. Aβx-34 and BACE2 antibodies showed specific peaks, significantly over and above the autofluorescent signal, in all three specific ROI indicated in Fig. 4 and Supplementary Fig. 8 (intraneuronal fine-vesicles, large intraneuronal spherical granules and extracellular aggregates). DAPI and secondary antibody alone show peaks only at background level. Samples were analysed by: LSM800 Inverted Confocal Microscope with Airyscan (ZEISS), LSM800 Upright Confocal Microscope (ZEISS), LEICA DM6000 CFS, and Axioscan.Z1 Slide Scanner (ZEISS). As negative controls for all antibodies, secondary antibody only controls were carried out (Supplementary Fig. 8h).
For Gallyas staining samples were depariffinised and/or rinsed in PBS, then treated with Ammonium-Silver Nitrate (0.1 g NH4NO3, 0.1 g AgNO3, 0.3 mL 4% NaOH) solution for 30 min protected from the light, rinsed with 0.5% acetic acid (3 × 3 min) and placed in developer solution for 5–30 min. Developer solution was made from three stock solutions: 25 ml of Solution A (50 g Na2CO3 + 1000 mL distilled water), 7.5 ml of Solution B (2 g NH4NO3 + 2 g AgNO3 + 10 g Tungstosalicic acid hydrate + 1000 mL distilled water) and 17.5 ml of Solution C (2 g NH4NO3 + 2 g AgNO3 + 10 g Tungstosalicic acid hydrate + 7.3 ml 37% formaldehyde solution +1000 mL distilled water). After developer solution samples were rinsed in water and placed in destaining solution (30 g K2CO3 + 55 g EDTA-Na2 + 25 g FeCl3 + 120 g Na2S2O3 + 20 g KBr +1000 mL distilled water). Finally, samples were rinsed two times in 0.5% acetic acid. After staining samples were rinsed in water, dehydrated in a graded series of ethanol, cleared in Histo-Clear and mounted with Histomount mounting medium. Samples were scanned by NanoZoomer 2.0RS (HAMAMATSU).
Immunofluorescent stains of 20 µm thick slices are shown as maximal projections captured on Zeiss LSM800 upright confocal microscope using ×63 oil-immersed objective. Image analysis was performed using IMARIS x64-v9.3.1. Software (BITPLANE, An Oxford Instruments Co., Zurich, Switzerland). Quantification was performed blinded to the genotype, on five independent images representing three individual organoids per genotype, and containing 3000–4000 cells per image. Only images within the “cortical” part of the organoid were considered for analysis. For quantification of protein/peptide markers, total fluorescence intensity of positive signals for each wavelength for a given antibody was normalised to the total fluorescence intensity for MAP2 as a pan-neuronal marker.
For colocalisation calculations: image analysis was performed using IMARIS software. Pairwise Pearson’s coefficient of colocalised volume for a pair of co-stained antibodies with contrasting fluorescence wavelengths was automatically calculated by the IMARIS software on 3–8 images from three independent organoids, per any given antibody combination, using a maximal projection through the entire z-stack.
A new FRET-assay for the detection of AβDP activity generating Aβ1-34
We designed and synthesized a new FRET-based peptide containing the fluorophore at one end and the quencher at the other end, and spanning the Aβ34 site in its middle. The exact peptide design is under discussion for intellectual property protection. The FRET (BACE2 R&D Systems, not based on amyloid sequence) control peptide (10 µm) (not shown) or the newly designed FRET Aβ34 site peptide (10 µm) were digested at 37 °C by human BACE2 (R&D systems, 1 ng/µL) in presence or absence of the stated inhibitors for 2 h. Three replicates per inhibitor per concentration were used. Enzyme activity was defined by measuring the fluorescence increase before and after the incubation. After blank-subtracted fluorescence units were normalized to the control digest, one-way analysis of variance (ANOVA) was performed. P values were calculated with a post hoc Bonferroni correction for multiple comparisons (only pairs relative to the untreated control were simultaneously compared). Error bars represent standard error.
Initial analysis was carried out using Microsoft Excel to calculate two-tailed student t tests. Additional Holm–Bonferroni correction was carried out using the Excel macro from ref. . For all multiple comparison analysis, ANOVA and Holm–Bonferroni calculations were performed at http://astatsa.com/OneWay_Anova_with_TukeyHSD/, or using GraphPad Prism 8.4.1 software.
iPSC lines genome integrity: genomic DNA was isolated from iPSCs using standard column kits. DNA of all iPSC lines shown in the manuscript were re-analysed at the similar passage used for the derivation of organoids using SNP arrays Illumina OmniExpress v1.1 chips and analysis performed in Genome Studio 2.0 software. Following CRISPR editing, T21C5∆7 was assessed by SNP array and no genomic alternations were detected compared with the parental C5 iPSC clone. See the raw data from this for chromosome 21 array, the rest are not shown for the lack of space, data available on request). The genome integrity of the isogenic iPSC clones was previously published  (but was repeated here as described above). No additional rearrangements owing to re-programming or passaging were observed.
The cohort of people with DS has been described in recent reports [52, 53]. In brief, participants donated DNA samples and had detailed cognitive and clinical assessments to determine dementia status . Age of dementia diagnosis was established and shown in Table 1. Genotyping was done in the UCL Genomics Centre using Human OmniExpressExome v1.2,v1.3,v1.4 beadchips. SNP clustering and genotyping, was undertaken using GenomeStudio (Illumina, San Diego, CA, USA). Manual reclustering for Chr 21 SNPs was done using GenomeStudio module v1.9.4 polyploidy-genotyping (http://res.illumina.com/documents/products/technotes/technote_genomestudio_polyploid_genotyping.pdf).
Quantitative paralogous amplification-pyrosequencing
Quantitative paralogous amplification-pyrosequencing was carried out based on the published method . This method takes advantage of the existence of identical sequences on chromosome 21 and one other autosome, allowing amplification of both loci with a single primer pair. Paralogous sequence mismatches in amplified products from chromosome 21 (GABPA and ITSN) can be quantified relative to their paralogous regions on chromosome 7 and 5, respectively. As such, trisomic cells show a 60:40 ratio for the paralogous sequence, whereas disomic cells produce a 50:50 ratio. Primers used for amplification and pyrosequencing are listed in Supplementary Table 5. Pyrosequencing was performed on the Pyromark Q48 machine (Qiagen) following standard procedures.
CRISPR/SpCas9-HF1 editing of the BACE2 locus
The guide-RNA (gRNA) targeting BACE2 Exon 3 was cloned into a vector containing the high fidelity SpCas9-HF1  and blasticidin S resistance gene. The complete plasmid was delivered via Lipofectamine3000 to a trisomic iPSC clone T21C5 (full official name NIZEDSM1iT21-C5), which was described and characterized in a previous report . Untransfected iPSCs were removed by treatment with blasticidin (2 μg/ml for 48 h). Individual colonies were picked and further sub cloned by limiting dilution to achieve clonal cell lines. DNA was purified from individual clones, PCR amplified and sequenced by Sanger Sequencing. Sequences were analysed in Mutation Surveyor (V3.1.0) and “Tracking InDels by dEcomposition (TIDE)” (TIDE V 2.0.1, Desktop Genetics). TIDE analysis of the CRISPR-targeted clone 2.3.5 DNA sequence gave a score of 65% of the wt read remaining (not shown). The quality of the gRNA was assessed using two different prediction software platforms: CCTop online software , and the MIT online platform (http://crispr.mit.edu/). The same two software platforms were used to predict the off-target sites. Neither platform found any off-targets with 0, 1, or 2 mismatches. The top 10 CCTop-predicted sites were PCR amplified in both Δ7 and WT clones, then sequenced by Sanger Sequencing to rule out off-target events. No differences in the sequence were found.
shRNA targeting of BACE2 in iPSCs
One day after plating, small colonies of feeder free iPSCs were transduced with lentiviral shRNA particles targeting BACE2 (sc-29776) or a non-targeting control (sc-108080). Lentiviral particles were obtained from Santa Cruz Biotechnology Inc. The lentiviral particles for BACE2 contain three different shRNAs targeting human BACE2. In total, 5000 infectious units (IFU) of virus were added per 12-well, and incubated overnight. The following day, viral media was removed and replaced with fresh media. Four days after transduction, stably transduced cells were selected by treatment with 0.5 μg/ml puromycin for 14 days, passaging as required. Following this, iPSCs were maintained in 0.3 μg/ml puromycin. Knockdown of BACE2 was confirmed by western blot (Supplementary Fig. 14a).
Protein isolation from cortical organoids
Organoids were collected at specified durations in culture (expressed as DIV) and washed twice with ice-cold PBS. The samples were resuspended in ice-cold NP-40 Buffer (150 mm NaCl, 1% NP-40, 50 mm Tris pH8) containing EDTA free protease inhibitors (complete cocktail, Roche) and lysed using a 1 ml tissue homogenizer (Fisher). Each sample was centrifuged at 10,000 rpm for 10 minutes at 4 °C and the homogenates were stored at −80 °C. Protein concentration was determined using the bicinchoninic acid method (Pierce).
Detection of fibrillary material from organoids by transmission electron microscopy (TEM)
Organoids were lysed following the same procedure for protein extraction, however, samples were initially spun at 20,000 × g for 20 minutes at 4 °C. Following the first centrifugation, supernatants were removed and kept on ice. The remaining cell pellets were resuspended in 5× weight/volume buffer (10 mm Tris-HCL pH7.5, 0.8 m NaCl, and 10% sucrose)  containing proteases inhibitor and spun at 20,000 × g for 20 minutes at 4 °C. An equal volume of supernatant 1 was added to the supernatant from the second centrifugation step. 1% N-lauroysarcosinate (weight/volume) was added and the samples were rocked at RT for 1 hour. The samples were ultra-centrifuged at 100,000 × g for 1 hour at 4 °C. The supernatant was decanted and the sarkosyl-insoluble pellet was resuspended in ice-cold PBS prior to imaging. The samples were deposited on to glow-discharged 400 mesh formvar/carbon film-coated copper grids, negatively stained with a 2% aqueous (w/v) uranyl acetate solution and then immediately analysed at 100 kV using a JEOL TEM1010 equipped with a Gatan Orius camera.
TEM analysis of synthetic Aβ1–40 fibrils in vitro
Synthetic Aβ peptide powder (China peptides) was treated with 1,1,1,3,3,3-hexafluoro-2-propanol and lyophilized. The peptide was then dissolved in 20 µL of 100 mm NaOH and then diluted with buffer. A 50 µm stock of this monomeric Aβ peptide was grown at 37 °C shaking at 180 rpm for 48–60 hours before recording the TEM images. In all, 4 µL of extract was added to a 15 nm thick, lacey carbon on 300 mesh grid (glow-discharged) for 2 minutes followed by negative staining with 2% uranyl acetate for 1 minute and then air dried. The grids were then viewed under FEI T12, 120 kV Transmission electron microscope equipped with a 4 K CCD camera (FEI) at ×30,000 magnification under low-dose conditions.
All data that support the findings described in this study are available within the manuscript and the related supplementary information, and from the corresponding authors upon reasonable request.
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DN’s work was funded by the Singapore National Medical Research Council (NMRC/CIRG/1438/2015), Singapore Ministry of Education Academic Research Fund Tier 2 grants (2015-T2-1-023 & 2015-T2-2-119), The Wellcome Trust Collaborative Award in Science 217199/Z/19/Z, and by the “Research Cooperability” Programme of the Croatian Science Foundation PZS-2019-02-4277 and EU-JPND-“Heroes” and “CoEN” Consortia. DN, JH, and AS all received funding as part of The Wellcome Trust “LonDownS Consortium” Strategic Funding Award (098330/Z/12/Z) (UK), and JH received funding from the Dementia Research Institute, an anonymous foundation and the Dolby foundation. HZ is a Wallenberg Academy Fellow supported by grants from the Swedish Research Council, the European Research Council, Swedish State Support for Clinical Research (ALFGBG-720931) the UK Dementia Research Institute at UCL. KB holds the Torsten Söderberg Professorship in Medicine at the Royal Swedish Academy of Sciences, and is supported by the Swedish Research Council (#2017-00915), the Swedish Alzheimer Foundation (#AF-742881), Hjärnfonden, Sweden (#FO2017-0243), and the Swedish State Support for Clinical Research (#ALFGBG-715986). AM was awarded a William Harvey Academy Fellowship, co-funded by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no. 608765. JNF received a fellowship from the Singapore National Research Foundation (NRF-NRFF2016-03). ARL received funding from the Fondation pour la Recherche Médicale (FRM). JGh and AR are supported by the BrightFocus Foundation (A2015275S), and NIH grant AG059695. The work of ŽK, GŠ, IK, and DM research was co-financed by the Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience (project “Experimental and clinical research of hypoxic-ischemic damage in perinatal and adult brain”; GA KK01.1.1.01.0007 funded by the European Union through the European Regional Development Fund). ŽK is also supported by the Adris Foundation. GŠ is also supported by the Croatian Science Foundation (HRZZ IP-2019-04-3584). DM is supported by the Croatian Science Foundation (IP-2016-06-9451). The South West Dementia Brain Bank is jointly funded by Alzheimer’s Research UK and Alzheimer’s Society, and is supported by BRACE (Bristol Research into Alzheimer’s and Care of the Elderly) and the Medical Research Council, UK. All unique materials will be made available for academic and non-commercial research purposes. We acknowledge Balakrishnan Kannan in the LKC imaging facility for his assistance. The authors thank Géraldine Joly-Hélas, Pascal Chambon, Željka Punčec, Ana Bosak, and Danica Budinščak for technical help, Marie Loh and Jacqueline Tai for the use of pyrosequencer, Moses Tandiono for help with SNP array experiments, Selina Wray for some antibodies, and Anna Barron and Madeline Lancaster for advice. We are grateful to Maria Grazia Spillantini for advice, critical comments, and AT100 antibody.
Andre Strydom19,20, Elizabeth Fisher21, Frances Wiseman21, Dean Nizetic22,23, John Hardy24,25, Victor Tybulewicz26,27, Annette Karmiloff-Smith28
Conflict of interest
HZ has served at scientific advisory boards for CogRx, Roche Diagnostics, Samumed, and Wave and is a co-founder of Brain Biomarker Solutions in Gothenburg AB, a GU Ventures-based platform company at the University of Gothenburg (all unrelated to the submitted work). JEM chairs the MNDA Research Advisory Board and is a director of Biomoti, a cancer drug-delivery company.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
A full list of LonDownS Consortium members and their affiliations appear below the acknowledgements section.
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Alić, I., Goh, P.A., Murray, A. et al. Patient-specific Alzheimer-like pathology in trisomy 21 cerebral organoids reveals BACE2 as a gene dose-sensitive AD suppressor in human brain. Mol Psychiatry (2020). https://doi.org/10.1038/s41380-020-0806-5
Frontiers in Cell and Developmental Biology (2020)