Abstract
Given our recent discovery of somatic mutations in autism spectrum disorder (ASD)/intellectual disability (ID) genes in postmortem aged Alzheimer’s disease brains correlating with increasing tauopathy, it is important to decipher if tauopathy is underlying brain imaging results of atrophy in ASD/ID children. We concentrated on activity-dependent neuroprotective protein (ADNP), a prevalent autism gene. The unique availability of multiple postmortem brain sections of a 7-year-old male, heterozygous for ADNP de novo mutation c.2244Adup/p.His559Glnfs*3 allowed exploration of tauopathy, reflecting on a general unexplored mechanism. The tested subject exhibited autism, fine motor delays, severe intellectual disability and seizures. The patient died after multiple organ failure following liver transplantation. To compare to other ADNP syndrome mutations, immortalized lymphoblastoid cell lines from three different patients (including ADNP p.Arg216*, p.Lys408Valfs*31, and p.Tyr719* heterozygous dominant mutations) and a control were subjected to RNA-seq. Immunohistochemistry, high-throughput gene expression profiles in numerous postmortem tissues followed. Comparisons to a control brain and to extensive datasets were used. Live cell imaging investigated Tau-microtubule interaction, protecting against tauopathy. Extensive child brain tauopathy paralleled by multiple gene expression changes was discovered. Tauopathy was explained by direct mutation effects on Tau-microtubule interaction and correction by the ADNP active snippet NAP. Significant pathway changes (empirical P value < 0.05) included over 100 genes encompassing neuroactive ligand–receptor and cytokine–cytokine receptor interaction, MAPK and calcium signaling, axon guidance and Wnt signaling pathways. Changes were also seen in steroid biosynthesis genes, suggesting sex differences. Selecting the most affected genes by the ADNP mutations for gene expression analysis, in multiple postmortem tissues, identified Tau (MAPT)-gene-related expression changes compared with extensive normal gene expression (RNA-seq) databases. ADNP showed relatively reduced expression in the ADNP syndrome cerebellum, which was also observed for 25 additional genes (representing >50% of the tested genes), including NLGN1, NLGN2, PAX6, SMARCA4, and SNAP25, converging on nervous system development and tauopathy. NAP provided protection against mutated ADNP disrupted Tau-microtubule association. In conclusion, tauopathy may explain brain-imaging findings in ADNP syndrome children and may provide a new direction for the development of tauopathy protecting drug candidates like NAP in ASD/ID.
Subject terms: Diagnostic markers, Diagnostic markers
Introduction
Recent whole-exome sequencing studies in autism spectrum disorder (ASD)/intellectual disability (ID) cohorts, found ADNP1,2 as one of the most frequently de novo mutated genes, responsible for about 0.2% of ASD cases3–5. ADNP syndrome, also known as Helsmoortel–Van der Aa syndrome (OMIM identification 615873, Orphanet—https://www.orpha.net/consor/cgi-bin/OC_Exp.php?lng=EN&Expert=404448), is a complex developmental disorder with robust neurological consequences and effects on multiple organ functions. ADNP syndrome patients share multiple clinical features3,6.
ADNP is imperative for brain development and normal function by regulating multiple key genes associated with synaptic transmission including tubulin/microtubules, ion channel, and autophagy-controlling genes7,8. In addition to its suggested role as a transcription factor and chromatin remodeling protein, in the neuronal cytoplasm9, ADNP interacts directly with cytoplasmic proteins regulating basic cellular processes. Thus, it was identified as a vital gene for the microtubule network essential for synapse formation10 and maintaining normal axonal transport rates7.
Importantly and highly pertinent to the current investigation, ADNP contains a neuroprotective motif, a drug candidate NAP1 (davunetide, CP201). This neuroprotective motif contains eight amino acids, NAPVSIPQ, with SIP (SxIP) being the signature structure for interaction with microtubule end binding proteins, enhancing dendritic spine formation11, enlisting Tau to the microtubule shaft12,13, thus protecting microtubule-dependent axonal transport14 and inhibiting Tau pathology15–17. As such, Adnp haploinsufficiency in mice results in tauopathy, which is rescued by NAP treatment and is exacerbated with aging15.
Here, having postmortem tissues from 7-year-old male, heterozygous for an ADNP de novo mutation c.2244Adup/p.His559Glnfs*3, we concentrated on a potential tauopathy outcome in this young ADNP subject. Furthermore, using RNA-seq on EBV-transformed human lymphoblastoid cell lines from a healthy control and from three ADNP syndrome patients, carrying three different mutations, we discovered ADNP-dependent altered gene regulation that was also mimicked by our Adnp-deficient mouse model10,18 and was correlated with the finding of this very early onset tauopathy. Our previous data, in cell cultures showed that ADNP mutations (p.Tyr719*, p.Arg730*) reduced microtubule–Tau interaction19 (leading to tauopathy)13,16,19, which was rescued by NAP treatment19. We now extended this finding to shorter ADNP mutated proteins (p.Ser404*) discovering a significant reduction in microtubule–Tau interaction (reflected in increases in immobile Tau) and complete reversal by NAP treatment.
Methods
ADNP postmortem case
Clinical information of a deceased 7-year-old ADNP syndrome boy was received from the mother (caregiver) and tending clinicians, under informed consent. Under informed consent from the mother (caregiver of the deceased child), postmortem tissues were collected during autopsy and documented with half undergoing immediate freezing (−180 °C) and half fixation for further histochemical analyses7. Specifically, for RNA extractions, tissue samples were surgically removed and frozen in vials (brain stem, cerebellum, hippocampus, pituitary (hypophysis), striatum, visual cortex, blood, colon, muscle (gastrocnemius, tibialis, and tongue), heart, kidney, pancreas, skin, spinal cord, stomach, testis, and thyroid. Each tissue was homogenized using Bullet Blender® and the appropriate beads.
Control brain
Control hippocampus tissue was obtained by a surgical removal from a 31-year-old subject, fixed and submitted to further histological procedures.
Histology
Human paraffin sections (6 μm) were deparaffinized and hydrated in xylene and alcohol solutions, rinsed with distilled water. The sections were then stained with Gallyas technique in order to identify Tau pathology.
Immunohistochemistry
Standard methods and antibodies are described in the Supplementary methods.
Neuronal-like cell models, differentiation, co-transfection of overexpressing plasmid, and fluorescence recovery after photobleaching (FRAP)19
All methodology was published before19 and is further detailed in the Supplementary methods.
Protein expressing plasmids were prepared based on a pEGFP-C1 backbone and inclusion of the full-length ADNP or of the truncated form expressiong the mutated p.Ser404* ADNP (Supplementary materials).
Cell RNA extraction and RNA sequencing
RNA was extracted from EBV-transformed human lymphoblastoid cell lines using TRI Reagent®, as instructed (Sigma-Aldrich, MO, USA). At the time of extraction, cell confluence was about 70–80%. Cell lines included one healthy control and three ADNP syndrome patients, carrying three different mutations (Table S1). Technical details of cell line library preparation, sequencing, and data analysis are described in the Supplementary methods and published articles10,18.
Organ DNA/RNA extraction
After homogenization, DNA and RNA were extracted using ZR-DuetTM DNA/RNA MiniPrep Plus (Zymo Research. CA, USA). A DNA sample from the kidney was Sanger sequenced to validate the mutation (Supplementary Results, Fig. S1. Note, all supplementary figures are labeled S and the respective Fig. number).
qPCR gene expression analysis
Analysis was performed in BIOCEV institute (Prague, Czech Republic) with BioMark HD system (Fluidigm, San Francisco, CA) (Supplementary methods)10.
RNA expression data
Normal gene expression data from two extensive databases were used: HPA RNA-seq normal tissues (NCBI) and GTEx portal (accession number phs000424.vN.pN)20.
Bioinformatics
Analysis of lymphoblastoid RNA-seq data
We downloaded our preprocessed lymphoblastoid (Table S1) RNA-seq data from gene expression omnibus (GEO) (GSE81268)10,18 and computed the log fold change (LFC) as follows: First, for each gene, we computed the median expression value of the three mutated samples (expression-Ig1, expression-SSC4121, and expression-SSC8311). Second, we divided the median expression value with expression-Lympho_cont column and applied log2 (we added a prior value of 1 to the nominator and denominator to prevent dividing by zero or logarithm of zero). Results are available at Supplementary Table S1.
We ranked the LFCs from highest to lowest, and applied the gene set enrichment analysis (GSEA)21 implemented in Expander22. We chose to apply 1000 permutation tests. Gene sets selected for the analysis are: Kyoto Encyclopedia of Genes (KEGG) pathways gene-sets from EXPANDER and MSigDB (C2 collection) databases23,24, Reactome pathways and gene ontology gene-sets from MSigDB (C2 and C5 collections)24. Results are available in Supplementary Table S2.
Comparison between healthy controls and ADNP syndrome
We applied log2(x + 1) transformation on the HPA, GTEx, and ADNP syndrome expression values (Table S3) in order to reduce the effect of outliers in the data. Next, for each gene, we created a heatmap using pheatmap R package with standardization (scale = “row” in the “pheatmap” function), per dataset (HPA, GTEx, and ADNP syndrome), of each gene across the tissues (Kolde R. pheatmap: Pretty Heatmaps [Internet]. 2019. Available from: https://cran.r-project.org/package=pheatmap) (Fig. S2). The standardization helped us to compare the expression values between the datasets, per tissue and per gene, since the distributions between the datasets were not the same (Fig. S3).
Results
Clinical disease manifestation
Seven-year-old male was diagnosed as a toddler with ASD, confirmed by cDNA sequencing as ADNP syndrome (heterozygous for a de novo mutation c.2244Adup/p.His559Glnfs*3, RefSeq isoform NM_015339.4) (Fig. S1). Medical records showed that besides autistic traits, the patient presented gross and fine motor delays, severe ID and seizures6. Specifically, after a first liver transplantation at the age of about 3.5 years, the patient developed generalized symptomatic epilepsy. As epilepsy was refractory, several antiepileptic drugs were used to control it. He was first on carbamazepine, then oxcarbazepine was added. Later carbamazepine was stopped, and he continued on oxcarbazepine and levetiracetam. Following that, he was switched to clobazam and topiramate, and for the last 18 months before death, he had been prescribed a combination of three antiepileptic drugs including: levetiracetram + topiramate + clonazepam. The patient also suffered from low muscle tone, convergence insufficiency (impaired 3D vision), as well as parent-reported feeding/eating and sleep problems. He also manifested a potential ADNP marker, early eruption and loss of deciduous teeth (full set of teeth by the age of one)18. The patient died after multiple organ failures following a second liver transplantation. An autopsy was performed and different tissue samples were taken for analysis.
ADNP syndrome postmortem tauopathy is potentially rescued by NAP treatment
The combination of histochemical methods (Fig. 1a, Gallyas staining, frontal cortex, cerebellum hippocampal hilus, and dentate gyrus, and Fig. S4, hypothalamus and olfactory bulb) and immunohistochemistry (hippocampal hilus and dentate gyrus, with antibodies recognizing Alzheimer’s disease-related hyperphosphorylated Tau AT8 and AT180, Fig. 1a, dashed blue box)15 identified extensive tauopathy. However, the corpus callosum and the trigeminal nerve were negative (Fig. S4). No apparent staining was observed in the control brain hippocampus (Fig. 1a red box, “GALLYAS” staining).
Our previous data, in cell cultures showed that ADNP mutations (p.Tyr719*, p.Arg730*) reduced microtubule–Tau interaction19 (leading to tauopathy)13,16,19, which was rescued by NAP treatment19. Here, we extended this finding to shorter ADNP mutated proteins (p.Ser404*, Fig. S5A,B) discovering significant reduction in microtubule–Tau interaction (reflected in increases in immobile Tau content) and complete reversal by NAP treatment (Fig. 1b, c).
At the immunohistochemical level, two additional findings were observed. (1) A dramatic hippocampal staining of postsynaptic density protein 95 (PSD95). (2) A similar increased stain of the N-methyl-D-aspartate (NMDA) receptor 1 (NMDAR1) in the hippocampus (Fig. S6A), which was much lower in the control hippocampal stain (albeit in a different hippocampal region—a control seizure-free region, Fig. S6B).
ADNP mutant lymphoblasotoid RNA-Seq supporting Tau pathology
To evaluate human mutated ADNP (different mutations including p.Arg216*, p.Lys408Valfs*31, and p.Tyr719*) signature RNA expression patterns, we first looked at our lymphoblatoids RNA-seq datasets (“Methods” and Table S1). Three ADNP mutated samples were sufficient for our analysis as most of the genes had similar expression values in two out of the three samples. Therefore, we chose for each gene, the median expression value in the three samples as the representative gene expression for the mutated ADNP samples (“Methods”). We applied a GSEA on the LFCs between the ADNP mutated and control gene expressions (GSEA results are available in Table S2). We discovered effects on multiple pathways. Significant KEGG pathway changes (empirical P value < 0.05) encompassing over hundred genes included the following, neuroactive ligand–receptor and cytokine–cytokine receptor interaction (implicated for ADNP signaling)25,26, MAPK signaling, calcium signaling (implicated in ADNP brain activity)7, axon guidance and Wnt signaling pathway (previously associated with ADNP regulation of teeth/bone and brain)18. Highly significant changes were also seen in steroid biosynthesis genes, suggesting sex differences, as noted in mice and linked with microtubule regulation7. Interestingly, Alzheimer’s disease and Parkinson’s disease were among the discovered KEGG pathways (with over a 100 genes of interest, however with empirical P value 0.093/0.12, respectively). We also observed neuron-related GO biological processes enrichments such as negative regulation of neurological system process, forebrain generation of neurons, and neuroepithelial cell differentiation (empirical P value < 0.001).
Table 1, prepared based on our RNA-seq data (GEO, GSE81268)10,18 lists the genes that showed the highest change when comparing ADNP mutated lymphoblastoid cells to a control lymphoblastoid cell line. Table 2 lists additional genes of interest that changed either as consequence of Adnp deficiency or as a results of NAP treatment or of both. These genes/proteins differentiate ADNP syndrome and healthy control lymphoblastoids10,18. As expected, String analysis for protein–protein interactions showed that most of the genes regulated by ADNP (i.e., genes changing in expression presumably because of ADNP mutation as explained in Table 2) exhibited a connection to Tau (MAPT) and the expected nervous system development pathway enrichment (Fig. 2).
Table 1.
Gene* | Fold change (Ig1 vs. Lympho) | Fold change (SSC4121 vs. Lympho) | Fold change (SSC8311 vs. Lympho) | Expression-Lympho_cont | Expression-Ig1 | Expression-SSC4121 | Expression-SSC8311 |
---|---|---|---|---|---|---|---|
ROBO1 | 745.647 | 91.2253 | 812.44 | 0.0128824 | 9.60575 | 1.1752 | 10.4662 |
NLRP2 | 112.939 | 124.576 | 905.512 | 0.0184944 | 2.08874 | 2.30397 | 16.7469 |
HOXB2 | 107.756 | 94.6583 | 91.1358 | 0.0847141 | 9.12846 | 8.0189 | 7.72049 |
IPCEF1 | 73.9769 | 49.2174 | 89.7259 | 0.219583 | 16.2441 | 10.8073 | 19.7023 |
PTK7 | 72.7466 | 22.561 | 122.293 | 0.0228934 | 1.66542 | 0.516499 | 2.79971 |
TLR4 | 72.0192 | 91.7155 | 63.094 | 0.0117378 | 0.845345 | 1.07654 | 0.740583 |
TBX15 | 63.2896 | 212.859 | 167.082 | 0.0388303 | 2.45756 | 8.26537 | 6.48786 |
ALOX12P2 | 52.9232 | 58.8549 | 52.5783 | 0.0490289 | 2.59477 | 2.88559 | 2.57786 |
TLR2 | 49.104 | 83.3778 | 275.744 | 0.00997296 | 0.489712 | 0.831523 | 2.74999 |
IGFBP2 | 44.1936 | 12.5067 | 5.84204 | 0.0949699 | 4.19706 | 1.18776 | 0.554818 |
LPAR6 | 34.7975 | 42.8991 | 35.26 | 0.441516 | 15.3636 | 18.9406 | 15.5678 |
AIF1 | 12.5361 | 8.50887 | 16.9555 | 0.156669 | 1.96403 | 1.33308 | 2.65641 |
FGFR1 | 6.50824 | 6.67026 | 6.91029 | 0.753597 | 4.90459 | 5.02669 | 5.20757 |
VSTM2L | −6.46587 | −7.61594 | −27.1737 | 2.19728 | 0.339827 | 0.28851 | 0.0808603 |
GRM3 | −17.1065 | −5.70896 | −11.9821 | 0.446002 | 0.026072 | 0.0781232 | 0.0372223 |
LOC151174 | −29.3255 | 2.94275 | −4.56462 | 0.554209 | 0.0188985 | 1.6309 | 0.121414 |
GPR98 | −31.1584 | −4.95165 | −21.8246 | 0.179003 | 0.00574493 | 0.0361501 | 0.00820188 |
HOMER3 | −36.3133 | −19.0099 | −135.655 | 4.0601 | 0.111807 | 0.213578 | 0.0299296 |
MYL9 | −64.4865 | −42.5937 | −19.0713 | 37.8958 | 0.587655 | 0.889704 | 1.98705 |
HMX3 | −75.6048 | −7.00876 | −2.882 | 10.4248 | 0.137885 | 1.4874 | 3.61722 |
CDH17 | No change | −95.1494 | No change | 2.49733 | 0 | 0.0262464 | 0 |
(*) Here, unlike the fold changes computed for GSEA analysis (“Methods”), we ranked genes by the highest fold change among the three mutated samples versus the control “Lympho” sample.
Table 2.
Gene and reason for choice | Fold change (Ig1 vs. Lympho) | Fold change (SSC4121 vs. Lympho) | Fold change (SSC8311 vs. Lympho) | Expression-Lympho_cont | Expression-Ig1 | Expression-SSC4121 | Expression-SSC8311 |
---|---|---|---|---|---|---|---|
HIST1H3B | 2.728 | 4.90457 | 4.67363 | 0.143763 | 0.392185 | 0.705095 | 0.671894 |
Reason | Decreased in the cortex of Adnp+/− female mice and increased (normalized) with NAP CP201 treatment10 | ||||||
SLC12A2 | 1.48183 | 1.64404 | 1.67656 | 3.31149 | 4.90706 | 5.44423 | 5.55191 |
Reason | (Slc12a2, Slc9a3) showed ADNP-age-dependent regulation in the hippocampus, cortex and spleen in mice10 | ||||||
ADNP | 1.34291 | 1.29374 | 1.31103 | 28.3059 | 38.0124 | 36.6205 | 37.1097 |
Reason | Studied gene | ||||||
NR4A2 | 1.27615 | 1.1638 | 1.109 | 0.566908 | 0.723459 | 0.659766 | 0.628699 |
Reason | Nuclear receptor subfamily 4 group A member 2—pathogenic NR4A2 variants cause developmental delays/intellectual disabilities DD/ID and/or autism spectrum disorder (ASD) (https://panelapp.genomicsengland.co.uk/panels/285/gene/NR4A2/), regulated by ADNP27 | ||||||
SNAP25 | 1.2276 | 1.10353 | −3.42346 | 0.124965 | 0.153407 | 0.137903 | 0.0365025 |
Reason | SNAP-25 regulates dendritic spine formation through postsynaptic binding to p140Cap39 that in turn interacts with ADNP/NAP (CP201)11 | ||||||
MBP | 1.08443 | −1.10046 | 1.3582 | 17.4361 | 18.9082 | 15.8444 | 23.6817 |
Reason | Myelin basic protein – ADNP is associated with myelin – white matter – health40 | ||||||
SMARCA4 | 1.04815 | −1.15125 | −1.0588 | 26.9341 | 28.2311 | 23.3955 | 25.4384 |
Reason | SMARC4, also known as BRG1 is an ADNP, SWI/SNF-interacting protein32,41 | ||||||
TBP | 1.02512 | 1.01825 | 1.13606 | 10.2996 | 10.5583 | 10.4876 | 11.7009 |
Reason | Used sometimes for calibration as house-keeping gene | ||||||
NLGN2 | −1.11457 | −1.43361 | 1.35016 | 0.328901 | 0.295093 | 0.229422 | 0.44407 |
Reason | Linked with synaptic regulation, shows age-dependent hippocampal reduction in Adnp+/− mice41 | ||||||
NLGN1 | not found | not found | not found | not found | not found | not found | not found |
Reason | Linked with synaptic regulation, shows hippocampal sex-dependent regulation in Adnp+/+ as well as Adnp+/− mice41 | ||||||
MTOR | −1.18542 | −1.03791 | −1.05758 | 10.8397 | 9.14418 | 10.4438 | 10.2495 |
Reason | Autophagy-related, regulated by Adnp+/− and corrected by NAP (CP201) in the mouse spleen10 | ||||||
BECN1 | −1.28996 | −1.1749 | −1.14578 | 32.6192 | 25.287 | 27.7633 | 28.4691 |
Reason | Regulated by Adnp/NAP (CP201)7,8,10 | ||||||
IL1B | −1.62136 | −3.90792 | 1.32081 | 0.520924 | 0.321288 | 0.1333 | 0.688041 |
Reason | Regulated by the Adnp+/− genotype7,10 | ||||||
MDGA1 | −1.62457 | −238.553 | −1.43052 | 1.78268 | 1.09732 | 0.00747288 | 1.24618 |
Reason | MAM domain containing glycosylphosphatidylinositol anchor 1, associated with nervous system development and psychiatric disorders https://www.ncbi.nlm.nih.gov/gene/266727 | ||||||
PAX6 | −2.11482 | −1.09227 | 1.2463 | 0.138463 | 0.0654726 | 0.126766 | 0.172566 |
Reason | Important for nervous system development, regulated by ADNP42 | ||||||
KDM5D | Not determined change | Not determined change | Not determined change | 0 | 15.1514 | 0 | 13.5382 |
Reason | Increased in the Adnp+/− mouse spleen, decreased (normalized) by NAP (CP201) treatment10 | ||||||
NTS | Not determined change | Not determined change | Not determined change | 0 | 0.0298807 | 0 | 2.43162 |
Reason | This gene encodes a common precursor for two peptides, neuromedin N and neurotensin and may function as a neurotransmitter or a neuromodulator—was discovered as regulated by ADNP27 | ||||||
FOXP2 | No change | −4.58755 | −3.8514 | 0.0431349 | 0 | 0.0094026 | 0.0111998 |
Reason | Important for language regulated by ADNP and NAP (CP201)33,43 |
In search for signature transcriptome associated with the ADNP syndrome in the postmortem samples, RNA extracted from multiple tissues was submitted to high throughput qPCR10 focusing on the chosen transcripts (Tables 1 and 2, primer sets, Table S4) and compared with normal expression (obtained from two databases, “Methods”). Since each of the public databases and our qPCR results were obtained and calculated with different methods, we applied a log2 transformation and a standardization scheme, per gene and per dataset (Methods). Below, we examined genes mostly showing high and significant Spearman correlation between the GTEx and HPA datasets (Fig. S7; Spearman P value < 0.1). We also considered genes with limited expression values in one of the control datasets (HPA or GTEx) and expressed in at least 15 out of 24 examined tissues in the other control and ADNP syndrome datasets. This way, we were confident that the standardization of the gene expression across tissues per dataset represents the relative gene expression between the tissues per dataset.
ADNP showed relatively reduced expression in the child’s postmortem cerebellum (Fig. S2). This relatively reduced expression was also observed for BECN1, FGFR1, FOXP2, GPR98, GRM3, HMX3, HOMER3, IL1beta, IPCEF1, KDM5D, MBP, MDGA1, MTOR, NLGN1, NLGN2, NLRP2, NR4A2, PAX6, PTK7, ROBO1, SLC12A2, SMARCA4, SNAP25, TBP, and VSTM2L (see Fig. 2 legend for complete gene names). All these genes converge on nervous system development and represent a majority of the tested genes. Interestingly, while expression in testis, pituitary (hypophysis) and thyroid was occasionally similar in trend with the cerebellum, the stomach, kidney and blood exhibited occasionally opposite (increased) trends in gene expression associated with the ADNP mutation (Fig. 2, Fig. S2).
In contrast to the listed gene transcripts above, histone cluster 1 H3 family member B (HIST1H3B) that encodes a nucleosome core protein, showed a relatively high expression in the ADNP syndrome cerebellum and pituitary (hypophysis), and a decreased expression in the hippocampus, indicating gene specificity.
Discussion
The novel tauopathy findings in ASD/ID are directly related to ADNP function that by binding to microtubule end binding proteins, which in turn bind to Tau, enhances Tau association with microtubules12 and protects against tauopathy15. However, in the Adnp+/− mice tauopathy appeared with aging15, similar to Alzheimer’s disease19 and unlike the childhood discovery here. Interestingly, ADNP/NAP preferentially interact with the alternatively spliced three microtubule binding repeat dynamic Tau (associated with development) compared with four microtubule binding repeat Tau17 implicating potential early onset tauopathy in association with the ADNP syndrome. In this respect, early Tau hyperphosphorylation was observed in the Adnp+/− mice, which was reversed by NAP treatment15.
The ADNP-mutation associated PSD95 and NMDAR1 increased expression might be related to aberrant synaptic plasticity as observed in the Adnp+/− mice also at the dendritic spine level10 and to increased excitotoxicity linked with seizures, which have been observed in the case study, with intact ADNP/NAP, protecting against excitotoxicity1.
ADNP expression was reduced in the case study cerebellum, hypophysis, testis, thyroid, and skin because of ADNP mutation (Fig. S2), with some other tissues such as stomach, kidney and blood showing an apparent increase (as partly noted above; Fig. 2). In this respect, ADNP, regulating its own expression27, has been implicated in brain function (ID) affecting all known ADNP syndrome cases6 with motor impediments correlated in severity to ID, endocrine problems (24.5% of the children/thyroid hormone problem, 15%), early puberty (30%), skin problems, gastrointestinal problems (83% of the children), and urogenital problems (28%)6.
PAX6, a major regulatory gene for brain development, originally discovered by us as a major ADNP-regulated gene during embryonic and postnatal development15,27 showed here a dramatically decreased expression in the cerebellum in the ADNP case compared with controls (as noted above; Fig. S2). This finding is in-line with known functions of PAX6 and the ADNP phenotype, with PAX6 playing a seminal role in the development of glutamatergic neurons28 and ADNP regulating the glutamatergic synapse29. The seemingly robust control of brain-development associated gene expression (Fig. 2) is now further exemplified in the human brain PAX6 regulation. PAX6 has a key role in neural tissue development, particularly the eye. Mutations in this gene are associated with ocular disorders, cerebral malformations auditory deficiency, pancreatic and pituitary development and function, development of the CNS, and beyond30,31.
SMARCA4 (BRG1), an ADNP-interacting protein32 showed here to be regulated by the ADNP mutation (transcript down regulated also in the hypophysis and thyroid as in the ADNP reduced expression) (Fig. S2). SMARCA4 is also implicated in autism8. Similarly, BECN1, a major regulator of autophagy, which has been previously shown to be downregulated by Adnp deficiency, and corrected by the ADNP snippet drug candidate NAP, microtubule end protein binding motif (SxIP) SKIP7, was downregulated here as well.
A closer inspection of brain gene expression showed an overall downregulation of ADNP (mimicking Adnp haploinsufficiency, except in the hippocampus) and a dramatic downregulation FOXP2 in the cerebellum. FOXP2, a major transcription factor involved in language acquisition was increased in the hippocampus (Fig. S2), as was seen before also in the haploinsufficient Adnp male mouse hippocampus33, with direct association to language acquisition impediments in the ADNP children6.
Looking at genes that might be associated with peripheral phenotypes of the ADNP syndrome, FGFR1 showed reduced expression in the cerebellum and hypophysis. This gene influences mitogenesis as well as differentiation and is important for normal bone development. This particular family member is involved in limb induction and is related to several syndromes in which symptoms include: high forehead, wide-set eyes, wide feet and dental aberrations34,35, well matched with the ADNP syndrome phenotype18. FGFR1 has a role in neural crest formation as well36. HIST1H3B that encodes a nucleosome core protein, showed a relatively high expression in the cerebellum and hypophysis, and a decreased expression in the hippocampus. Interestingly, in our RNA-seq results (Table S1), most of the HIST transcripts were up regulated suggestive of aberrations in nucleosomes and DNA regulation possibly by ADNP mutations. Furthermore, Hist1h3b was downregulated in the Adnp-deficient mouse cerebral cortex and this was corrected by treatment with the ADNP snippet, drug candidate NAP10.
Further assessing RNA expression, GRM3, MBP SNAP25 and NGLN1 were all decreased in the cerebellum because of the ADNP mutation (Fig. 2, Fig. S2). These genes, directly associated with synapse plasticity and myelin function, have been implicated before with ADNP regulation in the Adnp+/− mouse, with an increase in Ngln2 in the male hippocampus and correction by NAP treatment10 with ADNP interacting with key regulatory proteins at the synapse11 and regulating the excitatory glutamategic synapse29. ADNP regulation of MBP is further directly linked to white matter lesions in the ADNP syndrome6.
Further leading from brain to peripheral tissues, we have previously shown a direct binding of ADNP to the Myl2 promoter, the most downregulated gene in Adnp knockout mouse embryos27 and strongly affected by Adnp haploinsufficiency7. In normal tissues this gene is expressed mainly in the cardiac muscle and in smooth muscles and may be directly linked to the digestive problems, hypotonia and occasional cardiac problems noted in ADNP children6.
Taken together also in comparison to the in depth phenotypic analysis of 78 ADNP children6, our gene expression results correlate with the developmental delays measured in the ADNP children (100%), the cognitive, motor and gastrointestinal problems observed in the majority of the children, as well as the potential hormonal imbalance and urogenital abnormalities. Furthermore, our recent findings also associated somatic brain mutations in ADNP (among other genes) as possible risk factors/driving pathologies of Alzheimer’s disease (the most prevalent tauopathy). Importantly, a substantial overlap between autism/ID and Alzheimer’s brain mutations was discovered as well as a relatively high proportion of mutations in cytoskeletal genes19.
Finally, we have now extended our previous finding with truncating ADNP mutations (p.Tyr719* and p.Arg730*) reducing microtubule Tau interaction and microtubule dynamics rescued by NAP treatment19 to a shorter truncating mutation (p.Ser404*), still showing a significant protection by NAP treatment. Together these results corroborate ADNP/NAP microtubule-Tau protective mechanism, while offering potential clinical relief against tauopathy.
In terms of strength and limitations, our current study reports for the first time tauopathy in an ADNP syndrome child. We have utilized the only available postmortem tissue of the ADNP syndrome to-date and compared it to a young adult control brain. Gene expression analysis identified Tau (MAPT) as a central deregulated protein in the ADNP syndrome brain. NAP enhanced Tau—microtubule binding in the face of ADNP mutation, which is potentially protective against juvenile tauopathy. Study limitations reside in the constraints of a case report, comparison to a young adult and the focus on the ADNP syndrome. It should also be taken into consideration that previous brain MRI (unavailable) showed diffuse cortical atrophy of the brain parenchyma, marked reduction in volume of white matter as well as gliosis in both frontal and temporoparietal lobes that could indicate the sequelae of acute hepatic encephalopathy including a 3.3 cm large arachnoid cyst in middle cranial fossa. This pathology may have affected gene expression and tauopathy. Regardless, similar brain pathologies are shared by other ADNP patients with none (except for the current case) undergoing liver transplantations6. Furthermore, the ADNP syndrome shares similarities with other ASD/ID syndromes (https://www.orpha.net/consor/cgi-bin/OC_Exp.php?lng=EN&Expert=404448) broadening result impact. Lastly, a recent study in different ASD mouse models showing a strong Tau involvement may generalize our findings37. Specifically, Tau reduction by transgenic mouse mating (Mapt+/− or Mapt−/− compared with Mapt+/+controls) ameliorated autistic features (e.g., repetitive self-grooming and social disinterest) in two different mouse lines, Scn1aRX/+ (sodium voltage-gated channel alpha subunit 1A-R1407* modeling Dravet syndrome) and Cntnap2–/– mice (contactin associated protein 2 representing a relatively prevalent autism-causing protein deficiency). Lowering tau also reduced megalencephaly toward normalization of brain size in these mice. In contrast, in a mouse line of Shank3B–/– (SH3 and multiple ankyrin repeat domains 3 deficiency, modeling the Phelan McDermid Syndrome), Tau reduction was not beneficial. The authors suggested that the PI3K/Akt/mTOR (protease inhibitor 13/AKT Serine/Threonine kinase/mTOR) pathway, activated by interactions of Tau and PTEN (phosphatase and tensin homolog) plays a key role in the ASD development in the Scn1aRX/+ and the Cntnap2–/– cases, but not in the Shank3B–/– mouse37. Notably, MTOR was found to be regulated by ADNP in human postmortem tissues (Fig. 2) and in the Adnp+/− mouse model10. Regardless of the precise mechanism/pathway that may vary among different autistic syndromes (e.g., the ADNP syndrome is not characterized by megalencephaly), Tau pathology emerges as a key player in versatile ASD syndromes.
In conclusion, the robust changes in gene expression linked to nervous tissue and organ development coupled to early onset brain tauopathy and exhibiting strong similarities to the Adnp-deficient inbred15 and outbred mouse10, places ADNP as a highly conserved master gene regulator of human development. The identification of taoupathy, which might be associated with the observed MRI pathology in the ADNP patients6 and potentially detected by advanced tau tangle imaging technologies38 coupled to the corrective effects of NAP (drug name CP201)19, paves the path for precision disease modifying therapeutics.
Supplementary information
Acknowledgements
We thank the deceased child family for their contribution and cooperation. Dr. Ran Elkon for the help with statistical analyses. We further thank Dr. Metsada Pasmanik-Chor for her initial help with the bioinformatics analysis. This study is in partial fulfillment of the Ph.D. requirements for I. Grigg. Control brain tissue for this study was provided by Professor Iris Barshack, Associate Dean and Head of the Medical School, Tel Aviv University. We thank the ADNP Kids Research Foundation for continuous collaboration.
Funding
V.K. was supported by the CAS (RVO: 86652036) and LQ1604 NPU II, project BIOCEV (CZ.1.05/1.1.00/02.0109) from the ERDF, and MEYS CR. Professor I. Gozes held the first Lily and Avraham Gildor Chair for the Investigation of Growth Factors. Professor Gozes is supported by the following grants, ERA-NET neuron ADNPinMED (Professors Gozes and Kooy), AMN Foundation as well as Drs. Ronith and Armand Stemmer (French Friends of Tel Aviv University). T.A.H. (Ph.D. Mentors, Dr. Ran Elkon and Professor Ron Shamir) is supported in part by a fellowship from the Edmond J. Safra Center for Bioinformatics at Tel-Aviv University. Y.I-P. is supported in part by the Aufzien Family Center for the Prevention and Treatment of Parkinson’s Disease (APPD) postdoctoral fellowship and by a scholarship donated by Sandra Fischer, in the field of Alzheimer’s research, in memory of Nettie and Manuel Fisher.
Author contributions
I. Grigg and V.K. conducted gene expression analysis. O.T., R.L., and N.G. performed the histological tissue staining experiments. Y.I-P. conducted cell culture imaging experiments. T.A.H. provided the bioinformatics datamining. Z.M. provided the postmortem tissues, M.A., J.V., A.V.D., and R.F.K. provided clinical data. I. Gozes designed the studies and wrote the manuscript. All authors reviewed the manuscript.
Conflict of interest
Professor I. Gozes serves as the Chief Scientific Officer of Coronis Neurosciences developing CP201 for the ADNP syndrome.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These author contributed equally: Yanina Ivashko-Pachima, Tom Aharon Hait
Supplementary information
Supplementary Information accompanies this paper at (10.1038/s41398-020-00904-4).
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