Abstract
Synaptic dysfunction caused by soluble β‐amyloid peptide (Aβ) is a hallmark of early‐stage Alzheimer's disease (AD), and is tightly linked to cognitive decline. By yet unknown mechanisms, Aβ suppresses the transcriptional activity of cAMP‐responsive element‐binding protein (CREB), a master regulator of cell survival and plasticity‐related gene expression. Here, we report that Aβ elicits nucleocytoplasmic trafficking of Jacob, a protein that connects a NMDA‐receptor‐derived signalosome to CREB, in AD patient brains and mouse hippocampal neurons. Aβ‐regulated trafficking of Jacob induces transcriptional inactivation of CREB leading to impairment and loss of synapses in mouse models of AD. The small chemical compound Nitarsone selectively hinders the assembly of a Jacob/LIM‐only 4 (LMO4)/ Protein phosphatase 1 (PP1) signalosome and thereby restores CREB transcriptional activity. Nitarsone prevents impairment of synaptic plasticity as well as cognitive decline in mouse models of AD. Collectively, the data suggest targeting Jacob protein‐induced CREB shutoff as a therapeutic avenue against early synaptic dysfunction in AD.
Keywords: Alzheimer's disease, Amyloid pathology, CREB, early synaptic dysfunction, Jacob
Subject Categories: Molecular Biology of Disease, Neuroscience
A process by which β‐amyloid peptide regulates nuclear trafficking of the synapto‐nuclear shuttling protein Jacob to cause synapse impairment and loss in an AD mouse model can be inhibited by the small molecule Nitarsone.
Introduction
Soluble oligomeric β‐Amyloid peptide (Aβ) induces deterioration of synaptic function in Alzheimer's disease (AD) even before overt signs of dementia and plaque formation (Selkoe, 2002; Selkoe & Hardy, 2016; Forner et al, 2017; Li & Selkoe, 2020; Peng et al, 2022). While a large number of synaptic proteins have been suggested as Aβ receptors (Jarosz‐Griffiths et al, 2016), their pathophysiological relevance for synaptic dysfunction in vivo is still elusive given that the earliest hallmark of AD in humans and animal models is neuronal hyperexcitability caused by suppression of glutamate reuptake (Zott et al, 2019). In this scenario, glutamate spillover to perisynaptic sites might cause detrimental activation of extrasynaptic N‐methyl‐D‐aspartate receptors (NMDAR). NMDAR are heteromeric glutamate‐gated ion channels implicated in synaptic plasticity, learning, and memory but also in neurodegeneration and excitotoxicity (Hardingham & Bading, 2010; Parsons & Raymond, 2014; Bading, 2017).
Aberrant and synergistic activation of GluN2B‐containing NMDAR at extrasynaptic sites by glutamate and Aβ has been shown in AD (Bordji et al, 2010; Malinow, 2012; Bading, 2017; Marcello et al, 2018). Signaling downstream of synaptic and extrasynaptic NMDAR is tightly and antagonistically coupled to the transcription factor cAMP‐responsive element‐binding protein (CREB). Activation of synaptic NMDAR activates CREB through sustained phosphorylation of a crucial serine at position 133 (S133) and thereby promotes the expression of plasticity‐related genes (Hardingham & Bading, 2010) critically involved in learning and memory (Barco et al, 2002; Carlezon et al, 2005). Conversely, predominant activation of extrasynaptic NMDAR leads to sustained dephosphorylation of CREB (CREB shutoff), rendering CREB transcriptionally inactive (Hardingham et al, 2002). Loss of CREB‐dependent gene expression after extrasynaptic NMDAR activation precedes cell death and neurodegeneration; however, whether Aβ‐induced CREB shutoff plays a role already in early synaptic dysfunction driving cognitive impairment in AD is currently unclear (Espana et al, 2010; Saura & Valero, 2011; Yiu et al, 2011; Teich et al, 2015; Bartolotti et al, 2016). Under the premise that activation of extrasynaptic NMDAR happens before the manifestation of clinical symptoms, it is likely that Aβ will interfere already at this very early stage with transcriptional regulation. Surprisingly little is known, however, on molecular mechanisms of CREB shutoff in general and in AD in particular.
In previous work, we found that the synapto‐nuclear protein messenger Jacob, following long‐distance transport and nuclear import, differentially transduces NMDAR signals of synaptic and extrasynaptic origin to the nucleus (Dieterich et al, 2008; Karpova et al, 2013; Panayotis et al, 2015; Grochowska et al, 2021). Activation of synaptic NMDARs leads to phosphorylation of Jacob at serine 180 (S180) (pJacob) via MAP‐kinase ERK1/2, which is followed by trafficking of a pJacob/pERK1/2 signalosome along microtubules to neuronal nuclei (Karpova et al, 2013). Binding of the intermediate filament α‐internexin protects pJacob and pERK against dephosphorylation during transport. This signalosome promotes CREB phosphorylation at S133 and hence CREB‐dependent gene expression (Karpova et al, 2013). On the contrary, activation of extrasynaptic NMDAR leads to prominent nuclear translocation of non‐phosphorylated Jacob. In this case, nuclear import is followed by stripping of synaptic contacts, simplification of dendritic arborization, and cell death (Rönicke et al, 2011; Gomes et al, 2014; Grochowska et al, 2017) and is correlated with CREB shutoff. The molecular identity of the signalosome assembled by non‐phosphorylated Jacob is not known and the molecular mechanism of CREB shutoff is at present elusive.
In this study, we show the involvement of Jacob in Aβ pathology and present a molecular mechanism of CREB shutoff. In addition, we demonstrate the relevance of the identified mechanism for early synaptic failure in AD by targeting a crucial protein interaction responsible for CREB shutoff with the small chemical compound Nitarsone. Taken together, the data support the hypothesis that Jacob operates as a mobile signaling hub that docks NMDAR‐derived signalosomes to nuclear target sites and the results point to the significance of macromolecular protein transport from NMDAR to the nucleus for disease progression at an early stage of AD. Finally, our findings suggest that this pathway provides novel molecular entry points for interventions.
Results
CREB shutoff and reduced pJacob levels in AD patient brains
We first examined the levels of pJacob and pan Jacob in postmortem tissue of AD patients (see Table EV1 for patient information) to provide evidence for a potential involvement of the protein in human AD pathology. Immunoblotting of a nuclear enriched fraction obtained from the temporal cortex of AD patients did not reveal a significant reduction in pan Jacob levels as compared to controls (Fig EV1A–C). However, the levels of pJacob were significantly reduced by roughly 40% (Figs 1A and B, and EV1A), indicating that nuclear import of Jacob following activation of synaptic NMDAR is diminished probably at the expense of activation of extrasynaptic NMDAR (Karpova et al, 2013). Expectedly, we observed significant neuronal loss in AD patients as evidenced by NeuN‐immunoblotting (Fig EV1D and E). Since Jacob, unlike CREB, is only detectable in neurons (Mikhaylova et al, 2014), we could compare phosphorylation of nuclear Jacob normalized to total protein levels and corrected these values for NeuN content to adjust for neuronal cell loss (Fig 1C). With this measure, we observed a clear reduction of the pJacob/Jacob ratio (Fig 1C) that was correlated with the degree of CREB shutoff, which we determined following FACS sorting of NeuN‐positive nuclei (Figs 1D–F and EV1F), given that CREB is expressed in both glia cells and neurons. Taken together, the data indicate CREB shutoff in human AD brains. In addition, lower levels of pJacob suggest a functional link between CREB shutoff and Aβ‐pathology that is mediated by Jacob.
Jacob protein knockdown and gene knockout protects against Aβ toxicity
Aβ oligomers can be found in various, post‐translationally modified forms, out of which the N‐terminally truncated, pyroglutamylated Aβ3(pE)‐42 species are prominent in the brain of AD patients (Bayer & Wirths, 2014; Kummer & Heneka, 2014). Previous work suggests that Jacob might play a role in Aβ‐induced CREB shutoff that is elicited by activation of extrasynaptic GluN2B containing NMDAR by yet unknown mechanisms (Rönicke et al, 2011; Gomes et al, 2014; Grochowska et al, 2017). Knockdown of Jacob by shRNA in hippocampal neurons indeed prevented CREB shutoff induced by treatment of cultures with 500 nM Aβ1‐42 or Aβ3(pE)‐42 oligomers (Fig 1G and H). Similar results were obtained in organotypic hippocampal slices from Jacob/Nsmf knockout (−/−) mice or wild‐type littermates treated with 1 μM oligomeric Aβ1‐42 for 1 h (Fig 1I–K). Basal pCREB immunofluorescence levels were not different between both genotypes; however, neurons from knockout mice, unlike the wild‐type, did not display Aβ1‐42‐induced CREB shutoff (Fig 1J and K). Total CREB levels remained unchanged (Fig EV1G and H).
Jacob gene knockout ameliorates neuronal loss in transgenic AD mice
We next reasoned that the lack of Aβ‐induced CREB shutoff in Jacob knockout mice could confer neuroprotection in AD. The CA1 subfield of the hippocampus is one of the areas earliest affected in AD, with pronounced neuronal loss and a decreased number of synaptic contacts (Price et al, 2001; Yiu et al, 2011; Padurariu et al, 2012; Wirths & Zampar, 2020). TBA2.1 mice express Aβ3(pE)‐42 and display very early on severe CA1 neuronal loss, amyloidosis, LTP impairment, and neuroinflammation (Alexandru et al, 2011). We chose TBA2.1 mice because they show probably the most aggressive and prominent amyloid pathology of all transgenic AD mouse models. Western blot analysis of protein extracts from TBA2.1 mouse brain revealed that, while Jacob protein levels remained unchanged (Fig EV1I and J), pJacob levels are decreased resulting in a reduced pJacob/Jacob ratio like in human brain (Fig EV1I–L). In accordance with reports from other AD transgenic mouse lines (Caccamo et al, 2010; Yiu et al, 2011; Bartolotti et al, 2016), we found that TBA2.1 mice exhibit significantly reduced nuclear pCREB levels (Fig 1L and M). To directly study whether the loss of Jacob expression in neurons confers neuroprotection in TBA2.1 mice, we next crossed both lines to obtain homozygous TBA2.1 and Jacob/Nsmf (−/−) mice. Interestingly, the double transgenic animals (TBA2.1 × Jacob/Nsmf −/−) did not display CREB shutoff as evidenced by no reduction in pCREB levels (Fig 1L–O). Although we observed in all three genotypes (TBA2.1, Jacob/Nsmf −/−, and double TBA2.1 × Jacob/Nsmf −/−) slightly decreased nuclear CREB levels (Fig 1N and O), the absence of CREB shutoff in Jacob/Nsmf −/− and double transgenic animals points to a key role of the protein for transcriptional inactivation at an early stage of Aβ‐amyloidosis. Accordingly, cell loss in the dorsal CA1 region was less pronounced in double transgenic mice (on average 23%) (Fig 1P). The rescue mediated by Jacob gene knockout was also visible at the level of brain‐wide network activation patterns when we imaged cerebral blood flow (CBF) in unrestrained behaving mice of all four genotypes (TBA2.1, Jacob/Nsmf −/−, TBA2.1 × Jacob/Nsmf −/−, and wild‐type (WT)) using SPECT (Kolodziej et al, 2014; Oelschlegel & Goldschmidt, 2020; Fig EV1M). Decreases in CBF, found in dorsal CA1 (arrow) of TBA2.1 mice when compared to wild type animals, were partially rescued in double transgenic mice (Fig EV1M). This rescue was also apparent in the lateral septum and the diagonal band, regions connected to the hippocampus (Fig EV1N). In addition, levels of BDNF mRNA transcribed from promoter IV of the Bdnf gene (BdnfIV), a synaptic plasticity‐related neurotrophic factor (Spilker et al, 2016), whose expression is regulated by CREB in an activity‐dependent manner, were decreased in TBA2.1 mice, but not in Jacob/Nsmf (−/−) and double transgenic animals (Fig 1Q).
Jacob gene deletion did not influence the number of astrocytes (Fig EV1O and P) and activated microglia (Fig EV1O and Q). Moreover, amyloid load, evidenced by the number of Aβ‐positive deposits (Fig EV1R and S), was not affected as well, indicating that indirect effects of neuroinflammation or amyloid deposition do not account for the neuroprotection conferred by Jacob gene deletion.
Jacob is a direct binding partner of CREB and LMO4
These data collectively suggest that Jacob‐induced CREB shutoff that we termed JaCS contributes to transcriptional inactivation of CREB in AD and we therefore next aimed to decipher underlying molecular mechanism. We first tested for a possible direct interaction between both proteins. A pull‐down assay with bacterially expressed proteins revealed a direct association of both N‐terminal 117‐172 amino acid (aa) and C‐terminal (262‐532 aa) regions of Jacob to the bZIP domain of CREB (Figs 2A and EV2A–C). Accordingly, super‐resolution stimulated emission depletion (STED) imaging showed nuclear Jacob in close vicinity to CREB in cultured hippocampal neurons (Fig EV2D and E). We could co‐immunoprecipitate endogenous CREB from HEK293T cells following heterologous expression of Jacob (Fig EV2F) and in support of these data we found prominent in vivo fluorescence resonance energy transfer (FRET) efficiency when we co‐expressed either full length or the N‐terminal half of Jacob and a C‐terminal fragment of CREB (Fig 2B–E). Of note, the N‐terminal fragment of Jacob yielded significantly stronger FRET signals than the C‐terminal fragment (Fig 2B–F). Finally, proximity ligation assays provided evidence for an interaction of Jacob with CREB in neuronal nuclei of hippocampal primary cultures (Fig 2G).
In a yeast two‐hybrid (YTH) screen performed with the N‐terminus of Jacob as bait we identified LMO4 as a binding partner (Appendix Fig S1A). LMO4 is a transcriptional co‐activator of CREB (Kashani et al, 2006) and we therefore wondered whether the Jacob‐LMO4 interaction has a role in JaCS. A region encompassing aa 117‐228 of Jacob directly interacted with the LIM1 domain of LMO4 (Fig 2H, Appendix Fig S1A and B). In addition, both proteins were in close proximity to each other in neuronal nuclei as revealed by STED imaging (Appendix Fig S1C and D) and the LIM1 domain co‐localized with cytosolic Jacob clusters following heterologous expression (Appendix Fig S1E). The association of both proteins was further confirmed by heterologous co‐immunoprecipitation with tag‐specific antibodies (Appendix Fig S1F) and the direct interaction was corroborated by in vivo FRET analysis (Fig 2I–K) and proximity ligation in hippocampal neurons points to an in vivo interaction (Fig 2L). Subsequent heterologous co‐immunoprecipitation of Jacob fragments with the LIM1 domain indicated that the binding regions for LMO4 and CREB do not overlap (Fig 2F and M, Appendix Fig S1G). Interestingly, like other LIM1 domain‐binding proteins, Jacob contains a leucine‐ and valine‐rich stretch (Joseph et al, 2014). Point mutations (L175A‐V176A) within this region resulted in much weaker binding (Fig 2M–O). In the previous work, we found that nuclear overexpression of non‐phosphorylated Jacob leads to dephosphorylation of CREB (Dieterich et al, 2008). Nuclear accumulation of the LMO4 binding mutant of Jacob, however, did not induce CREB shutoff (Fig 2P–T), indicating that the association with LMO4 is instrumental for JaCS.
Jacob competes with CREB for LMO4 binding
We next asked why the association with LMO4 is crucial for JaCS. In vivo FRET assays and heterologous co‐immunoprecipitation revealed that the LIM1 domain, which is the binding interface for Jacob (Fig 2J, K, M and P, Appendix Fig S1A, E and F), also interacts with a N‐terminal fragment of CREB (Fig 3A–C). LMO4 directly binds to this region, but not to the isolated bZIP domain of CREB (Fig 3D–F, Appendix Fig S1B and G), which binds Jacob. The direct interaction with LMO4 promotes phosphorylation of S133 and thereby CREB transcriptional activity as evidenced by increased CRE‐driven luciferase activity following heterologous expression of LMO4 (Fig 3G). shRNA knockdown of LMO4 (Appendix Fig S1H–J) in neurons resulted in reduced pCREB (Fig 3H and I) but not total CREB immunofluorescence (Fig 3J and K).
Direct binding of LMO4 to CREB and Jacob raised the question whether all three proteins can assemble in a trimeric complex or whether they compete for the same binding interface. Sequential resonance energy transfer (SRET) in vivo indeed revealed the existence of a triple complex (Fig 3L and M). Jacob harbors a binding interface for the interaction with CREB and LMO4 at the N‐terminus (Fig 2), whereas LMO4 can only associate through its first LIM1 domain either to Jacob or to CREB (Figs 2 and 3). Subsequent competition pull‐down experiments confirmed competitive binding between the N‐terminus of Jacob and CREB with LMO4, as shown when GST‐LMO4 was coupled to the beads and increasing amounts of the N‐terminal fragment of Jacob were added in the presence of CREB (Fig 3N–P). In summary, the LIM1 domain of LMO4 mediates the association either with CREB or Jacob, and Jacob is capable to displace LMO4 from the CREB complex, a mechanism that should facilitate CREB shutoff (Fig 3Q).
Protein phosphatase 1γ and LMO4 are involved in Jacob‐induced CREB shutoff
We next asked whether LMO4‐binding to Jacob might be also actively involved in CREB shutoff. Protein phosphatase 1 (PP1) is a phosphatase that can dephosphorylate S133 in CREB. Jacob harbors several PP1 binding motifs, both proteins co‐localize following heterologous expression (Appendix Fig S2A) and tagged Jacob co‐immunoprecipitate with endogenous PP1γ (Appendix Fig S2B). Pull‐down experiments revealed a direct interaction (Fig 4A, Appendix Fig S2C) and heterologous co‐immunoprecipitation experiments pointed to two binding interfaces (Fig 4B). We therefore next addressed whether the association with PP1γ is involved in JaCS. To this end, we expressed a phosphodeficient mutant of Jacob in the nucleus of hippocampal primary neurons (Karpova et al, 2013) and incubated cultures with the PP1γ inhibitor okadaic acid (OA). Interestingly, we found that treatment with OA prevented JaCS (Fig 4C and D).
Phosphorylation of Jacob at S180 is induced by activation of synaptic NMDAR, whereas nuclear import of non‐phosphorylated Jacob is related to extrasynaptic NMDAR activation (Karpova et al, 2013). Accordingly, in a CRE‐luciferase activity assay, the expression of wild‐type but not phosphodeficient Jacob caused increased activity (Fig 4E, Appendix Fig S2D). Furthermore, the association of a phosphodeficient mutant of Jacob to LMO4 was significantly stronger than the corresponding phosphomimetic protein (Fig 4F and G, Appendix Fig S2E and F). Phosphomimetic Jacob, unlike the non‐phosphorylated protein, did not displace CREB from LMO4 bound to beads (Figs 3N–Q and 4H–J). To further test the idea that LMO4 binds to non‐phosphorylated Jacob more efficiently, we applied the protein kinase inhibitor staurosporine and performed heterologous co‐immunoprecipitation experiments (Fig 4K and L). We indeed found a stronger association of non‐phosphorylated Jacob to LMO4 (Fig 4K and L) and concomitantly a stronger association of S180 phosphorylated Jacob to CREB (Fig 4K and L). Since Jacob directly interacts with PP1γ (Fig 4A), we performed a pull‐down assay where we observed that the association between both proteins was much stronger in the presence of LMO4 (Fig 4M and N, Appendix Fig S2E and F). Thus, non‐phosphorylated Jacob, entering the nucleus following activation of extrasynaptic NMDAR, will likely displace LMO4 from the CREB complex and the subsequent association with LMO4 will enhance binding to PP1γ, which then ultimately results in CREB shutoff (Fig 4I).
The small organoarsenic compound Nitarsone selectively blocks binding of Jacob but not of CREB to the LIM1 domain of LMO4
The molecular analysis outlined above allowed us to perform structural modeling of the binding interface between CREB, Jacob and the LIM1 domain of LMO4. To this end, we analyzed deposited peptide‐bound LMO4 structures. In LMO4:LIM domain‐binding protein 1 (Ldb1) (Deane et al, 2004) a peptide of Ldb1 binds to LMO4 by short β‐β main chain formations and single hydrophobic side chains protruding into deep pockets in each of the two LIM domains (Fig 5A). LMO4:Ldb1 highlights the relatively weak sequence preferences for peptides binding to either or both LIM domains (Fig 5A). Therefore, we performed a positional scan by computational serial mutation of each peptide residue to any of 20 aa stretches in both Jacob and CREB which let us define a search pattern of only four critical residues for potential LMO4‐binding regions (Fig EV3A–D). With this approach we found eight potential binding regions in Jacob and five in CREB (Fig EV3B), for which we modeled LIM1:peptide complexes and calculated complex stability. For Jacob, we confirmed a peptide including residues 172‐186 that is part of the experimentally localized LMO4 binding region. In addition, we found two overlapping peptides within the experimentally determined LMO4‐binding region for CREB (Fig EV3D).
We next searched for small molecules that might selectively prevent binding of Jacob and not of CREB to LIM1 of LMO4. Here, we used ZINCPharmer, a tool that allows to define donor and acceptor atoms within the hydrophobic binding pocket (Fig 5B) and the β‐strand (β3, Fig 5C) of LIM1 (Koes & Camacho, 2012). Several hits contained a p‐nitrophenyl group (e.g., 2‐[[1‐(4‐nitrophenyl)ethyl]amino]ethan‐1‐ol (ZINC37177221)) fitting to the hydrophobic binding pocket. We therefore next searched the Drugbank database (Wishart et al, 2006) for purchasable drugs containing this group and identified p‐nitrophenylarsonic acid (Nitarsone) as promising candidate since Nitarsone fitted into the hydrophobic binding pocket of LIM1 as evidenced by AutoDock Vina (Eberhardt et al, 2021; Fig 5D).
To prove efficacy, specificity, and affinity of Nitarsone binding to the LIM1 domain, we next purified recombinant proteins expressed in bacteria (Fig EV3E). Isothermal titration calorimetry (ITC) revealed a single binding site in LMO4 and a K D of 0.77 μM (Fig 5E), which is roughly matching the K D of 0.37 μM for binding of Jacob to LMO4 (Fig 5F). These results prompted us to test the prediction that Nitarsone will only block binding of LMO4 to Jacob but not to CREB. In GST pull‐down experiments, we could indeed show that Nitarsone completely abolished binding of Jacob to LMO4 when applied in 5× times molar excess (Figs 5G–I and EV3E). In these experiments, we immobilized 500 nM GST‐LMO4, saturated binding with 1 μM Jacob 45‐228 and then applied 5 μM Nitarsone. In contrast, even at a concentration of 20 μM, that is, in 20× times molar excess, the substance did not displace CREB from LMO4 (Figs 5J–M and EV3E). Finally, we tested the effect of 5 μM Nitarsone administration on Jacob‐LMO4 complex formation in Aβ‐treated hippocampal primary cultures employing a proximity ligation assay. As expected, Nitarsone drastically reduced the Aβ‐induced association of Jacob with LMO4 in neurons (Fig 5N and O).
Nitarsone application rescues Aβ‐induced CREB shutoff as well as synapse loss and synaptic dysfunction
We next found that bath application of 10 μM Nitarsone prevented Aβ‐induced CREB shutoff in hippocampal primary neurons (Fig EV4A–C). The drug was either applied 30 min prior or 2 h after application of 500 nM Aβ for 2 h. In both conditions, we found a rescue of pCREB levels following Nitarsone administration (Fig EV4A–C), indicating that the drug will not only prevent Jacob binding in response to Aβ‐treatment but will also displace Jacob bound to LMO4 even after Aβ‐induced CREB shutoff. Co‐application of 5 μM Nitarsone, a dose that is already effective to interrupt the Jacob/LMO4 interaction in primary neurons (Fig 5N and O), also rescued CREB shutoff induced by application of 500 nM Aβ oligomers for 48 h (Fig 6A and B).
We therefore next assessed Aβ‐induced synapse loss in dissociated hippocampal neurons that were kept for 48 h in the presence of 5 μM Nitarsone (Fig 6C and D). Aβ induced a 30% reduction of synaptophysin/Shank3 puncta in these cultures (Fig 6C and D) and this synapse loss was completely prevented by Nitarsone application (Fig 6C and D). The concomitant downscaling of synaptic surface expression of GluA1 AMPA‐receptors was also significantly attenuated in the presence of Nitarsone (Fig 6E and F). In control experiments, these neurons exhibited normal up‐scaling of GluA1 AMPA receptors in response to silencing of neuronal activity with 1 μM TTX application (Fig EV4D). Whole‐cell patch‐clamp experiments showed that reduced surface expression of GluA1 following Aβ treatment was accompanied by reduced miniature excitatory postsynaptic current (mEPSC) amplitude but not frequency (Fig 6G–K). Co‐application of 5 μM Nitarsone preserved mEPSC amplitude while administration of the drug alone had no effect on both measures (Fig 6G–K).
In vivo administration of Nitarsone prevents early synaptic dysfunction and cognitive deficits in two transgenic AD mouse lines
We next administered Nitarsone in vivo in two transgenic AD mouse lines with amyloid pathology, TBA2.1 and 5xFAD mice. 5xFAD mice express human APP and PSEN1 transgenes with a total of five AD‐linked mutations (Oakley et al, 2006). These mice display less rapid spread of amyloid pathology than TBA2.1 mice, with visible plaques accompanied by gliosis at 4 months of age with accompanying synaptic dysfunction and cognitive impairment. We administered Nitarsone orally with forced feeding and a defined daily dose of 50 mg/kg that was based on a conservative NOEL (no observed effect level) from several toxicology studies and the rationale to achieve an effective dose in brain tissues (see Materials and Methods and Fig 7A for experimental details).
This regime had no effect on the body weight of treated as compared to control animals (Fig EV5A and B) and on amyloid load in both mouse lines (Fig EV5C–F). However, Nitarsone administration effectively prevented CREB shutoff in both transgenic AD mouse lines in the dorsal hippocampal CA1 region following 6 weeks of treatment (Figs 7B–E and EV5G–J). In addition, early neuronal cell loss was reduced in TBA2.1 mice in comparison to vehicle‐treated littermates (Figs 7F and EV5K and L) while we could not detect neuronal cell loss in CA1 of 5xFAD mice at 19 weeks of age (Fig EV5M and N). Most important, we found clearly reduced synapse loss in the stratum lacunosum moleculare in mice treated with Nitarsone in both animal models of amyloid pathology (Fig 7G–J). This is the first hippocampal region affected by amyloid pathology in many AD animal models (Kerchner et al, 2012; Su et al, 2018). Synapse loss within this region was accompanied in TBA2.1 mice by dendritic varicosities (Fig 7K and L), another morphological feature of AD pathology (Jin et al, 2011; Lee et al, 2022). Mice treated with Nitarsone displayed significantly less dendritic varicosities (Fig 7K and L).
In accord with these findings, we observed early synaptic dysfunction in acute hippocampal slices, as evidenced by deficits in late‐phase long‐term potentiation (LTP), in TBA2.1 and 5xFAD mice at postnatal week 11 and 19, respectively (Fig 8A–D). The reduced fEPSP slope in the last 30 min of recordings was rescued in slices of Nitarsone‐fed mice in both AD lines (Figs 8A–D and EV5O and P), indicating a rescue of synaptic plasticity that is relevant for learning and memory (Figs 8A–D and EV5O and P).
High CREB levels have been shown to increase excitability of neurons in the lateral amygdala and the hippocampus (Zhou et al, 2009; Yu et al, 2017). Therefore, we hypothesized that Nitarsone by preventing JaCS in TBA2.1 mice should increase neuronal excitability in hippocampal CA1 neurons. Using patch‐clamp recordings, we found a mild impact of genotype (transgene versus wild‐type) on neuronal excitability in step current protocols (Fig 8F) probably reflecting the early stage of AD pathology in these mice. Nitarsone treatment during this early period increased the input resistance (Fig 8E and F), and reduced the rheobase (Fig 8E), and rescued the positive correlation of input resistance and action potential half width (Fig 8G; Helmstaedter et al, 2009) that was observed in wild‐type mice in control conditions (Fig 8E–G). The latter observation is particularly interesting because following Nitarsone treatment neurons with high input resistance and high half‐width within the CA1 neuronal population could serve to specifically overcome deficits in synaptic transmission and the induction of synaptic plasticity (LTP).
We therefore next determined whether treatment with Nitarsone also rescues cognitive decline in TBA2.1 and 5xFAD mice (Oakley et al, 2006; Alexandru et al, 2011). To evaluate short‐term memory, we used the Y‐maze object recognition task (Creighton et al, 2019), which minimizes contextual cues, with an interval of 3 h between training and test. Object recognition was impaired in TBA2.1 and 5xFAD mice treated with vehicle, when compared to littermate controls (Fig 8H–J). Conversely, transgenic TBA2.1 and 5xFAD mice fed with Nitarsone displayed improved discrimination performance in comparison to vehicle treated animals (Fig 8H–J). Human AD patients display impairments in object recognition, which essentially relies on proper synaptic function of CA1 neurons (Didic et al, 2013). Accordingly, TBA2.1 and 5xFAD mice showed deficits in novel object location and novel object recognition memory (Figs 8K–M and EV5Q–T). Treatment with Nitarsone also rescued memory in a novel location recognition as well as in a novel object recognition task with a cognitive performance comparable to vehicle‐treated littermate controls (Fig 8N and O). We did not observe major differences in distance traveled as well as the number of interactions with the objects (i.e., preference index) during the training (Fig EV5Q–T). Collectively, these data provide evidence that restoring synaptic plasticity and normal excitability with Nitarsone improve hippocampus‐dependent learning and memory despite the presence of manifest amyloid pathology.
Discussion
Several lines of evidence suggest that the CA1 region, in both human patients and mouse AD models, is among the first to exhibit deficits in CREB activation, synaptic function, and neuronal excitability (Wang & Bibb, 2011; Yiu et al, 2011; Kerchner et al, 2012; Su et al, 2018; Wirths & Zampar, 2020). CREB might be a nodal point in the AD transcriptome network, given the central role of this transcription factor in the regulation of gene expression that is essential for synaptic plasticity, intrinsic excitability, and memory formation (Barco et al, 2002; Carlezon et al, 2005; Wang & Bibb, 2011; Alberini & Kandel, 2014; Teich et al, 2015). CRE‐driven gene expression determines excitability of CA1 neurons (Barco et al, 2002; Lopez de Armentia et al, 2007; Alberini & Kandel, 2014), it reduces the threshold for LTP‐induction in the Schaffer collateral pathway (Barco et al, 2002; Lopez de Armentia et al, 2007) and is instrumental for a switch from LTP to LTD that is characteristic for synaptic dysfunction in AD (Kim et al, 2001; Barco et al, 2002; Lopez de Armentia et al, 2007; Saura & Cardinaux, 2017). Despite this central role of CREB, research on amyloid pathology was largely focused on local signaling events that acutely elicit decay of synaptic function, largely ignoring the fact that molecular mechanisms underlying inactivation of CREB are likely to be first in the sequelae of events that cause synapse pathology. In consequence, such mechanisms remained elusive in AD.
Here we revealed a molecular mechanism implying Aβ‐induced extrasynaptic NMDAR activation and nuclear import of Jacob for the induction of CREB shutoff (JaCS). Molecular modeling and screening for small chemical molecules subsequently led to the discovery that Nitarsone blocks binding of Jacob to the LIM1 domain. Application of Nitarsone in vitro and in vivo proved the relevance of the deciphered molecular mechanism for Aβ‐induced synaptic pathology, CREB shutoff and the progression of synaptic and cognitive dysfunction at a very early stage of AD. Taken together, the data support the idea that macromolecular protein transport to the nucleus has a pathophysiological role in amyloid pathology. To our knowledge, no other molecular mechanism for long‐lasting transcriptional inactivation of CREB in neurons has been described yet and it is tempting to speculate that JaCS will also contribute to early synaptic dysfunction elicited by similar mechanisms in other slowly progressing neurodegenerative diseases. Finally, a key finding of the present work is that JaCS is druggable providing novel molecular entry points for interventions.
JaCS in AD
A key aspect in this regard is the balance between activation of extrasynaptic or synaptic NMDAR and the subsequent differential phosphorylation of S180 in Jacob. We provided evidence that Jacob directly associates with the bZIP domain of CREB irrespective of S180 phosphorylation and that this binding docks a signalosome to CREB that differs in its molecular composition depending upon the origin of NMDAR activation. We could show that binding of Jacob to LMO4 or, as shown previously, α‐internexin (Karpova et al, 2013) determines whether the protein associates with the CREB phosphatase PP1γ or the MAP‐kinase ERK1/2, and binding to either of these adaptors is decisive whether Jacob induces inactivation of CREB or enhanced CREB‐dependent gene transcription (Karpova et al, 2013; Figs 4 and 8P). LMO4 is reportedly a transcriptional co‐activator of CREB (Kashani et al, 2006) and our data suggest that LMO4 might hinder dephosphorylation of S133, stabilize the CREB dimer (Figs 5 and 8P), and thereby could act as transcriptional enhancer. In the presence of amyloid pathology, Jacob likely displaces LMO4 from the CREB complex (Figs 3N–Q and 8P), and we suppose that this contributes to long‐lasting CREB dephosphorylation. Thus, enhanced binding of Jacob to PP1γ and displacement of LMO4 renders the association to LMO4 a key event for JaCS.
JaCS contributes to early synaptic dysfunction in AD
Collectively, this study suggests that long‐distance protein transport from extrasynaptic NMDAR to the nucleus is an important mechanism for disease progression at an early stage in AD. We hypothesize that this stage follows the initial hyperexcitability that has been described in transgenic mice with Aβ pathology and AD patients (Busche et al, 2012; Lam et al, 2017; Li & Selkoe, 2020). Recent work suggests that this hyperexcitability is at least in part caused by the suppression of glutamate reuptake (Zott et al, 2019), which, in turn, might cause sustained activation of extrasynaptic NMDAR in response to increased ambient glutamate levels. We propose that JaCS kicks in when extrasynaptic NMDAR activation is continuous and synergistically driven by ambient glutamate and oligomeric Aβ (Rönicke et al, 2011). In addition, we propose that nuclear import of Jacob might be the initial trigger for decay of synaptic function that is induced by altered gene transcription. Along these lines, we found in previous work that the earliest morphological phenotype following nuclear accumulation of non‐phosphorylated Jacob is the stripping of synaptic contacts (Dieterich et al, 2008; Karpova et al, 2013). Our observation of a recovery of a positive correlation between input resistance and action potential half width following Nitarsone treatment in TBA2.1 mice (Fig 8G) is particularly interesting with respect to the rescue of LTP. Both parameters lead to a more effective input to output conversion of pyramidal neurons by increasing depolarization upon (synaptic) input and a more efficient transmitter release, respectively. The observed effects compensate for a reduction in synaptic strength and will facilitate the induction of synaptic plasticity. It is likely that this effect strongly contributes to Nitarsone‐mediated rescue of synaptic plasticity observed in this study.
Preserving synaptic function in AD by targeting the interaction of Jacob to LMO4
We could prove the relevance of CREB and of the proposed mechanism for Aβ‐induced decay of synaptic function with a small chemical compound that was selected based on structural modeling of the most crucial binding interface that is involved in CREB shutoff. Thus, Nitarsone selectively interrupts the interaction of Jacob, but not of CREB with the LIM1 domain of LMO4 and competes with a 15 amino acid short peptide in Jacob that binds to LIM1. Moreover, we identified two peptides within the LMO4‐binding region of CREB. Structural modeling predicts that CREB binds with both regions to a LIM domain tandem of LMO4 with two times higher binding energy than Jacob (Fig EV3A–D). The second LIM2 domain has a weaker binding site for the CREB peptides than LIM1 as already shown for other proteins, CtIP and Lbd1 (Deane et al, 2004; Stokes et al, 2013). In concordance, we were not able to show binding of CREB to the isolated LIM2 domain, however, binding to the LIM1 of the first peptide might induce and facilitate binding of the second to the LIM2 domain. Of note, according to our model, CREB binding will not interfere with self‐association of the LIM2 domain of LMO4 that has been reported previously (Deane et al, 2004).
The therapeutic potential of Nitarsone
Nitarsone has been in use in poultry farming as feed additive to prevent histomoniasis and to improve food utilization until 2015, when the compound was withdrawn from the market as a precaution by the FDA (https://www.feedstuffs.com/story-fda-announces-pending-withdrawal-approval-nitarsone-45-125903). The identified health risk, however, was very low since it was estimated that life‐long consumption of turkey meat might result in increased lifetime risk of developing or dying from cancer of 0.00031% (Nachman et al, 2017). Nitarsone is the oxidized form of arsanilic acid, an organic arsenic compound, considered to be less harmful than inorganic arsenic like arsenic trioxide (ATO) (Fowler et al, 2022). However, a transformation in carcinogenic arsenic might be possible (Nachman et al, 2017) by anaerobic gut microbiota (Chen & Rosen, 2016) and chemical modification of the compound to prevent this transformation is difficult given its almost perfect fit to the binding pocket. On the other hand, arsenic itself has a long tradition in folk and veterinary medicine. It was used for many years to treat syphilis and other disease states (Iland & Seymour, 2013) and even though human arsenic methyltransferases in the liver convert ATO to cytotoxic arsenic (Maimaitiyiming et al, 2020), ATO has become the standard treatment of acute promyelocytic leukemia (Lo‐Coco et al, 2013; de Almeida et al, 2021).
In light of these arguments and given that AD is a lethal neurodegenerative disease, the intervention with Nitarsone might open up effective and selective therapeutic avenues that directly target altered NMDAR‐to‐nucleus communication without affecting NMDAR function at the plasma membrane, which has several detrimental side effects. A clear limitation of this study is, however, that interventions that have beneficial effects in transgenic AD mouse models might not be suitable for several reasons in humans. As a matter of fact, AD mouse models do not resemble all aspects of the human disease and the potential toxicity of Nitarsone raises concerns.
Along these lines despite strong evidence that Aβ‐driven signaling underlies the pathological mechanisms of AD, in recent years doubts have been casted whether other pathways might contribute to the disease progression and cognitive decline (Haass & Selkoe, 2022). The failure of clinical trials with anti‐amyloid therapies to show robust beneficial outcomes in AD patients on cognition has raised concerns that lowering amyloid load is sufficient to stop disease progression (Haass & Selkoe, 2022). We speculate that in light of the complexity of mechanisms in the so‐called “cellular phase” of AD (Haass & Selkoe, 2022) and the notion that dissolving β‐amyloid plaques with antibodies might have detrimental side effects due to release of oligomeric Aβ species, a combinatorial intervention with anti‐Aβ antibodies (like Aducanumab) and targeting JaCS might be a more effective means to slow down early synaptic failure in AD. This hypothesis can be tested in future work in transgenic AD mouse models.
Materials and Methods
Reagents and Tools table
Reagent | Source | Identifier |
---|---|---|
Antibodies | ||
Anti‐Jacob‐87, rabbit polyclonal (against rat Jacob peptide – 187‐203 aa) | Custom made by Thermo Fisher Scientific; Spilker et al (2016) | N/A |
Anti‐Jacob 1384, rabbit polyclonal (against MKADTSHDSRDSSDLQ rat Jacob peptide – 299‐314 aa) | Custom made by bioGenes, Germany, Dieterich et al (2008) | N/A |
Anti‐Jacob (Jb150), rabbit polyclonal against synthetic peptides: RERSFSRSWSDPTPM (285‐299 aa) and KADTSHDSRDSSDLQ (299‐314 aa) |
Custom made Dieterich et al (2008) |
N/A |
Anti‐pJacob S180, rabbit polyclonal (against synthetic phosphorylated peptide LVPGpSPRAFG – 178‐187 aa) | Custom made by bioGenes, Germany, Dieterich et al (2008) | N/A |
Anti‐CREB, 48H2, rabbit monoclonal | Cell Signaling Technology, CST | Cat.: #9197; RRID: AB_331277 |
Anti‐CREB, D76D11, rabbit monoclonal | CST | Cat.: #4820; RRID: AB_1903940 |
Anti‐CREB LB9, mouse monoclonal | Thermo Fisher Scientific | Cat.: #MA1‐083; RRID: AB_558523 |
Anti‐pCREB (Ser133), rabbit polyclonal | Millipore | Cat.: #06‐519; RRID: AB_310153 |
Anti‐GluR1, rabbit polyclonal | Millipore | Cat.: #ABN241; RRID:AB_2721164 |
Anti‐PP1 gamma, rabbit polyclonal | Thermo Fisher scientific | Cat.: #PA5‐21671; RRID: AB_11153939 |
Anti‐MAP2, mouse monoclonal | Sigma‐Aldrich | Cat.: #M‐4403; RRID: AB_477193 |
Anti‐NeuN, mouse monoclonal | Millipore | Cat.: #MAB377; RRID: AB_2298772 |
Anti‐LMO4, goat polyclonal | Santa Cruz | Cat.: #sc‐11122; RRID: AB_648429 |
Anti‐GFAP, rabbit polyclonal | Sigma‐Aldrich | Cat.: #G‐9269; RRID: AB_477035 |
Anti‐Iba‐1, guinea pig polyclonal | SySy | Cat.: #234004; RRID: AB_2493179 |
Anti‐Amyloid β (clone 4G8), mouse monoclonal | BioLegend | Cat.: #800701; RRID: AB_2564633 |
Anti‐Shank3, guinea pig polyclonal | SySy | Cat.: #162304; RRID: AB_2619863 |
Anti‐Synaptophysin1, rabbit polyclonal | SySy | Cat.: #101002; RRID: AB_887905 |
Anti‐GluR1, rabbit polyclonal | Millipore | Cat.: #ABN241; RRID: AB2721164 |
Anti‐histone 3 (H3), rabbit monoclonal | NEB | Cat.: #4499; RRID: AB_10544537 |
Anti‐MBP, mouse monoclonal | NEB | Cat.: #E8032L; RRID: AB_1559730 |
Anti‐GST, rabbit polyclonal | Sigma‐Aldrich | Cat.: #G7781; RRID: AB_259965 |
Anti‐SUMO, rabbit polyclonal | Polyclonal rabbit custom made by bioGenes, Germany | N/A |
Anti‐GFP (B34), mouse monoclonal | BioLegend | Cat.: #902601; RRID: AB_2565021 |
Anti‐tagRFP, rabbit polyclonal | Evrogen | Cat.: #AB233; RRID: AB_2571743 |
Anti‐RFP, rabbit polyclonal | Rockland | Cat.: #600‐401‐379; RRID: AB_2209751 |
Duolink® In Situ PLA® Probe Anti‐Maus MINUS | Sigma‐Aldrich | Cat.: #DUO92004 |
Duolink® In Situ PLA® Probe Anti‐Rabbit PLUS | Sigma‐Aldrich | Cat.: #DUO92002 |
Duolink® In Situ PLA® Probe Anti‐Goat PLUS | Sigma‐Aldrich | Cat.: #DUO92003 |
Duolink® In Situ PLA® Probe Anti‐Rabbit MINUS | Sigma‐Aldrich | Cat.: #DUO92005 |
Anti‐rabbit‐AlexaFluor 488 | ThermoFisher Scientific | Cat.: #A‐11034; RRID: AB_2576217 |
Anti‐rabbit‐AlexaFluor 568 | ThermoFisher Scientific | Cat.: #A‐11036; RRID: AB_10563566 |
Anti‐mouse‐AlexaFluor 488 | ThermoFisher Scientific | Cat.: #A‐11001; RRID: AB_2534069 |
Anti‐mouse‐AlexaFluor 568 | ThermoFisher Scientific | Cat.: #A‐11004; RRID: AB_2534072 |
Anti‐guinea pig‐AlexaFluor 647 | ThermoFisher Scientific | Cat.: #A‐21450; RRID: AB_2535867 |
Anti‐rabbit‐IgG‐HRP | Dianova | Cat.: #111‐035‐114; RRID: AB_2337938 |
Anti‐mouse‐IgG‐HRP | Dianova | Cat.: #115‐035‐146; RRID: AB_2307392 |
Anti‐guinea pig‐IgG‐HRP | Dianova | Cat.: #705‐035‐147; RRID: AB_2337022 |
Anti‐goat AlexaFluor 568 | Thermo Fisher Scientific | Cat.: #A‐11057; RRID: AB_2534104 |
Anti‐mouse Abberior STAR 635P | Abberior | Cat.: #2‐0002‐007‐5; RRID: AB_2893232 |
Anti‐rabbit Abberior STAR 580 | Abberior | Cat.: #2‐0012‐005‐8; RRID: AB_2893229 |
Bacterial and virus strains | ||
E. coli XL10Gold | Agilent | Cat.: #200314 |
E. coli Bl21DE3 | Invitrogen | Cat.: #C6000‐03 |
Biological samples | ||
Human temporal cortex (area 22) | Brain Banking Centre of the German Brain Banking Network “BraiNet” | Paul Flechsig Institute of Brain Research (Leipzig University) |
Chemicals, peptides, and recombinant proteins | ||
Blocking peptide for anti‐LMO4 antibodies | Santa Cruz Biotechnology | SC‐11122p /discontinued |
Lipofectamine 2000 | ThermoFisher Scientific | Cat.: #11668019 |
PEI | Polysciences | Cat.: #23966 |
Nitarsone (4‐Nitrophenylarsonic acid), 98% | ABCR Gute Chemie | Cat.: #AB370306; CAS #98‐72‐6 |
MBP‐PP1ɣ | Creative BioMart | Cat.: #PPP1CC‐84 |
Protino Glutathione Agarose 4B beads | Macherey‐Nagel | Cat.: #11962462 |
Protease inhibitors, Complete | Roche | Cat.: #04693159001 |
Phosphatase inhibitors, PhosSTOP | Roche | Cat.: #04906837001 |
μMACS Anti‐GFP MicroBeads | Miltenyi Biotec | Cat.: #130‐091‐125 |
SPOT‐Trap‐MA | Chromotek | Cat.: #eta‐20 |
SYBR Green Supermix | BIORAD | Cat.: #170882 |
Coelenterazine‐H | ThermoFisher Scientific | Cat.: #C6780 |
DeepBlueC | ThermoFisher Scientific/Biotium 101252 | Cat.: #50‐196‐4118 |
Human Aβ1‐42 peptide | Anaspec | AS‐20276 |
Human Aβ3(pE)‐42 | Anaspec | AS‐29907‐01 |
Okadaic acid | Tocris | Cat.: #1136; CAS #78111‐17‐8 |
Tetradotoxin (TTX) | Tocris | Cat.: #1078/1 |
Bicuculine | Tocris | Cat.: #0130/50 |
MediGel Sucralose | ClearH2O | Cat.: #74‐02‐5022 |
DietGel boost Hazelnut | ClearH2O | Cat.: #72‐04‐5022 |
Staurosporine | CST | Cat.: #9935S |
Critical commercial assays | ||
MATCHMAKER Two‐Hybrid System 3 | Takara | Cat.: #630489 |
Dual‐Luciferase Reporter Assay System | Promega | Cat.: #TM040 |
Nuclei Isolation Kit | Sigma‐Aldrich | Cat.: #NUC101 |
Deposited data | ||
Experimental models: Cell lines | ||
HEK293T cells | ||
Experimental models: Organisms/strains | ||
Mouse: Jacob/Nsmf−/− | Dr. Michael R. Kreutz, Spilker et al (2016) | N/A |
Mouse: TBA2.1 | ProBiodrug, Alexandru et al (2011) | N/A |
Mouse: TBA2.1 × Jacob/Nsmf−/− | This paper | N/A |
Mouse: 5xFAD | Jackson Laboratories | Cat.: #034840‐JAX |
Rat: Wistar | Janvier | RjHan:WI |
Oligonucleotides | ||
qPCR, BdnfIV, mouse, F 5′‐GCAGCTGCCTTGATGTTTAC‐3′ | Spilker et al (2016) | N/A |
qPCR, BdnfIV, mouse, R 5′‐CCGTGGACGTTTGCTTCTTTC‐3′ | Spilker et al (2016) | N/A |
qPCR, B‐actin, mouse, F 5′‐AACGCAGCTCAGTAACAGTCC‐3′ | Spilker et al (2016) | N/A |
qPCR, B‐actin, mouse, R 5′‐GTACCACCATGTACCCAGGC‐3′ | Spilker et al (2016) | N/A |
Genotyping Jacob/Nsmf−/−, F‐Jac_5574 5′‐CTGAGGCTGAGACCTAGCGC‐3′ | Spilker et al (2016) | N/A |
Genotyping Jacob/Nsmf−/−, R‐Jac_6032 5′‐CAGCCTCCAATACTGGCAAGAC‐3′ | Spilker et al (2016) | N/A |
Genotyping Jacob/Nsmf−/−, R‐Jac_7329 5′‐GGAAGGGACTTCATCCTGACTG‐3′ | Spilker et al (2016) | N/A |
Recombinant DNA | ||
pGL4.29[luc2P/CRE/Hygro] | Promega | Cat.: #9PIE847 |
pEGFP‐N1 | Clontech | Cat.: #6085‐1 |
pGADT7, MATCHMAKER Two‐Hybrid System 3 | Takara | Cat.: #630489 |
GBKT7, MATCHMAKER Two‐Hybrid System 3 | Takara | Cat.: #630489 |
Jacob‐1‐228 in pGBKT7 | Dieterich et al (2008) | N/A |
Jacob‐1‐228 in pGADT7 | Dieterich et al (2008) | N/A |
Jacob‐262‐532 in pGBKT7 | This paper | N/A |
Jacob‐1‐116 in pGADT7 | This paper | N/A |
Jacob‐117‐228 in pGADT7 | This paper | N/A |
Jacob‐167‐193 in pGADT7 | This paper | N/A |
Jacob‐175‐201 in pGADT7 | This paper | N/A |
Jacob‐202‐228 in pGADT7 | This paper | N/A |
Jacob‐117‐228 in pGADT7 | This paper | N/A |
Jacob‐167‐193 in pGADT7 | This paper | N/A |
Jacob‐175‐201 in pGADT7 | This paper | N/A |
Jacob‐202‐228 in pGADT7 | This paper | N/A |
hJacob‐SPOT in pRP(Exp)‐CMV (VectorBuilder) | This paper | N/A |
ptRFP‐N1 | Evrogen | Cat.: #FP142 |
Jacob in ptRFP‐N1 | This paper | N/A |
ΔMyr‐Jacob in pEGFP‐N1 | Dieterich et al (2008) | N/A |
ΔMyr‐Jacob‐S180A in pEGFP‐N1 | Karpova et al (2013) | N/A |
pcDNA3.1/Myc‐His | ThermoFisher Scientific | Cat.: #V80020 |
ΔMyr‐Jacob in pcDNA3.1/Myc‐His | Karpova et al (2013) | N/A |
ΔMyr‐Jacob‐S180A in pcDNA3.1/Myc‐His | Karpova et al (2013) | N/A |
Jacob‐1‐228 in pEGFP‐N1 | This paper | N/A |
Jacob‐262‐532 in pEGFP‐N1 | This paper | N/A |
ΔMyr‐Jacob‐L175A‐V176A in pEGFP‐N1 | This paper | N/A |
Jacob‐1‐246 in pEGFP‐N1 | This paper | N/A |
Jacob‐247‐532 in pEGFP‐N1 | This paper | N/A |
Jacob‐1‐172 in pEGFP‐N1 | This paper | N/A |
Jacob‐173‐246 in pEGFP‐N1 | This paper | N/A |
Jacob‐247‐309 in pEGFP‐N1 | This paper | N/A |
Jacob‐310‐532 in pEGFP‐N1 | This paper | N/A |
Jacob‐213‐246 in pEGFP‐N1 | This paper | N/A |
Jacob‐173‐246 in pEGFP‐N1 | This paper | N/A |
pMAL‐c5x | NEB | Cat.: #N0378 |
Jacob‐45‐228 in pMAL‐c5x | This paper | N/A |
Jacob‐1‐116 in pMAL‐c5x | This paper | N/A |
Jacob‐117‐228 in pMAL‐c5x | This paper | N/A |
Jacob‐262‐532 in pMAL‐c5x | This paper | N/A |
pGEX‐5X‐1 | Sigma‐Aldrich | Cat.: #GE28‐9545‐53 |
Jacob‐45‐228 in pMAL‐c5x | This paper | N/A |
Jacob‐45‐228‐S180D in pMAL‐c5x | This paper | N/A |
Jacob‐45‐228‐S180A in pMAL‐c5x | This paper | N/A |
pRNAT‐U6.1 | Gene script | Discontinued |
Jacob shRNA in pRNAT 5′‐AGAATGATTCCGCGTCTGTAA‐3′ |
Karpova et al (2013) | N/A |
Jacob scr shRNA in pRNAT 5′‐AGATATAGTCGCCGTCTGTAA‐3′ |
Karpova et al (2013) | N/A |
LMO4 in pACT2 | This paper | N/A |
LMO4 in pGBKT7 | This paper | N/A |
LIM1‐1‐80 in pGADT7 | This paper | N/A |
LIM2‐81‐165 | This paper | N/A |
LMO4 in ptRFP‐N1 | This paper | N/A |
LIM1‐1‐80 in ptRFP‐N1 | This paper | N/A |
LIM2‐81‐165 in ptRFP‐N1 | This paper | N/A |
LMO4 in pGEX‐5X‐1 | This paper | N/A |
pEGFP‐N3 | Clontech | Cat.: #6080‐1 |
LMO4 in pEGFP‐N3 | This paper | N/A |
LMO4 in pcDNA3.1/Myc‐His | This paper | N/A |
pFUGW‐H1 | Addgene, Fasano et al (2007) | Cat.: #25870 |
LMO4_shRNA 5′‐AGATCGGTTTCACTACATC‐3′ |
This paper | N/A |
LMO4_scrambled shRNA 5′‐GCTTCGCGCCGTAGTCTTA‐3′ |
This paper | N/A |
CREB in ptRFP‐N1 | This paper | N/A |
CREB in pEGFP‐N1 | This paper | N/A |
pRLuc‐N1 | PerkinElmer | Cat.: #6310200 |
CREB in pRLuc‐N1 | This paper | N/A |
CREB‐1‐165 in ptRFP‐N1 | This paper | N/A |
CREB‐166‐341 in ptRFP‐N1 | This paper | N/A |
Champion™ pET‐6xHis‐SUMO | Thermo Fisher Scientific | Cat.: #K3001 |
CREB in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐1‐88 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐1‐165 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐1‐293 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐89‐314 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐89‐165 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐166‐341 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐166‐293 in pET‐6xHis‐SUMO | This paper | N/A |
CREB‐294‐341 in pET‐6xHis‐SUMO | This paper | N/A |
NLS in pEGFP‐N1 | This paper | N/A |
Caldendrin in pEGFP‐N1 | Dieterich et al (2008) | N/A |
PP1 gamma in pEGFP‐C1 | Addgene, Trinkle‐Mulcahy et al (2001) | Cat.: #44225 |
mCherry‐PP1 gamma | Addgene, Liu et al (2010) | Cat.: #45220 |
pET28a‐His tag | Novagen | Cat.: #69864‐3 |
PP1 gamma in pET28 | This paper | N/A |
Software and algorithms | ||
Swiss‐PDB Viewer version 4.1 | Guex and Peitsch (1997) | http://www.expasy.org/spdbv/ |
FoldX version 5 | Centre for Genomic Regulation | http://foldxsuite.crg.eu/ |
Avogadro version 1.2 | Hanwell et al (2012) | https://avogadro.cc/ |
AutoDock Vina version 1.1.2 | Eberhardt et al (2021) | https://autodock‐vina.readthedocs.io |
PsiPred version 1.1.2 | McGuffin et al (2000) | http://bioinf.cs.ucl.ac.uk/psipred/ |
RaptorX | Källberg et al (2012) | http://raptorx.uchicago.edu/ |
PyMol version 2.5 | Schrödinger | pymol.org |
MicroCal LLC ITC | MicroCal | |
Mini Analysis 6.0.3 | Synaptosoft | http://www.synaptosoft.com/MiniAnalysis/ |
InVivoScope version 1.43 | Bioscan | http://www.bio‐scan.com/ |
HiSPECT, version 1.4.1876 | Scivis | N/A |
MPI Tool software version 6.36 | ATV | N/A |
Osirix version 5.8.1 | Rosset et al (2004) | https://www.osirix‐viewer.com/ |
Matlab version R2017b | Math Works | https://www.mathworks.com; RRID: SCR_001622 |
(Fiji is just) ImageJ | Schindelin et al (2012) | http://fiji.sc/; RRID: SCR_002285 |
Openview Version 1.5 | Tsuriel et al (2006) | N/A |
Prism Version 7 and 8 | GaphPad | https://www.graphpad.com/scientific‐software/prism/ |
Patchmaster version 2×73.5 | HEKA Elektronik | http://www.heka.com/ |
ANY‐maze video tracking version 7.0 | Stoelting Co. | http://www.anymaze.co.uk/ |
IBM SPSS Statistics version 21 | IBM | www.ibm.com |
Igor Pro version 8.0.4.2 | WaveMetrics | www.wavemetrics.com |
Python version 5.1.5 | Python | www.python.org |
R studio version 4.2.1 | RStudio | www.r‐studio.com |
Methods and Protocols
Human subjects
The temporal cortex (area 22) biospecimens (Table EV1) were provided by the Brain Banking Centre Leipzig of the German Brain‐Net, operated by the Paul Flechsig Institute of Brain Research (Leipzig University). The diagnosis and staging of AD cases was based on the presence of neurofibrillary tangles (Braak & Braak, 1991) and neuritic plaques in the hippocampal formation and neocortical areas as outlined by the Consortium to establish a registry for AD (CERAD; Mirra et al, 1991) and met the criteria of the National Institute on Aging on the likelihood of dementia (The National Institute on Aging, 1997). For the study of human biospecimens, informed consent forms were obtained and autopsies were approved (GZ 01GI9999‐01GI0299).
Animals
Animals were maintained in the animal facility of the Leibniz Institute for Neurobiology, Magdeburg. Jacob/Nsmf knockout (homozygous labeled as −/−) animals were characterized previously (Spilker et al, 2016). TBA2.1 (homozygous labeled as TBA2.1) mice (Alexandru et al, 2011) were a kind gift from ProBiodrug. To generate double transgenic animals (animals homozygous for both mutations labeled as TBA2.1, −/−) Jacob/Nsmf heterozygous mice were crossed with heterozygous TBA2.1 mice. The 5xFAD mice (Oakley et al, 2006) were purchased from Jackson Laboratories. All lines had a C57BL/6J background. Animal experiments were carried out in accordance with the European Communities Council Directive (2010/63/EU) and approved by local authorities of Sachsen‐Anhalt/Germany (reference number 42502‐2‐1501 LIN, 203.m‐42502‐2‐1112LIN, 203.m‐42502‐2‐1280LIN). Mice were house din individually ventilated cages (Green line system, Tecniplast) under controlled environmental conditions (22 ± 2°C, 55% ± 10% humidity, 12 h, light–dark cycle, with lights on at 06:00 a.m.), with free access to food and water. Unless indicated otherwise, the animals were housed in groups up to five mice per cage. All animals were genotyped prior and after the experiment. The exact information concerning sex, age, and treatments are described in method details.
Murine organotypic hippocampal slice culture
Organotypic hippocampal slice culture (OHSC) were prepared according to previously published work (Grochowska et al, 2017). Slices were obtained from P7 to P9 mice of both sexes (Jacob/Nsmf knockout or WT littermates as a control). Animals were decapitated, brains removed, and hippocampi dissected under a binocular. 350–400 μm thick Perpendicular slices were cut using a McIlwain tissue chopper (Mickle Laboratory Engineering). Slices were cultured on millicell membranes (three slices per membrane, Merck Milipore) in six‐well plates in 1 ml of medium 50% minimal essential medium (Gibco), 25% heat inactivated horse serum (Gibco), 25 mM glucose, 2 mM glutamine, 25 mM HEPES, 1xB27 (Gibco), and penicillin/streptomycin (100 U/ml). Cultures were grown at the 37°C, 5% CO2, and 95% humidity. Every 3rd day, the 700 μl of the medium was exchanged.
Primary hippocampal cultures
Hippocampal and cortical cultures were prepared from Wistar rat embryos (E18) of mixed sex as described previously (Spilker et al, 2016). Briefly, dissected were digested for 15 min with trypsin at 37°C. Neurons were plated on plastic 12‐well dishes (Greiner) on glass coverslips coated with poly‐L‐lysine (Sigma‐Aldrich) at a density of 60,000 cells/well in DMEM medium (Gibco, Thermo Fisher Scientific) supplemented with 10% FCS, 1× penicillin/streptomycin, and 2 mM glutamine. After 1 h incubation (at the 37°C, 5% CO2, 95% humidity), cells were kept in BrainPhys medium supplemented with 1% SM1 (Stemmcell Technologies), 0.5 mM Glutamine (Gibco) at 37°C, 5% CO2, and 95% humidity.
Cell lines
HEK293T cells were maintained DMEM medium (Gibco, Thermo Fisher Scientific) supplemented with 10% FCS, 1× penicillin/streptomycin, and 2 mM glutamine at 37°C, 5% CO2, and 95% humidity. This cell line is regularly checked for mycocplasma contamination and authenticated by STR profiling.
Antibodies, chemicals, recombinant proteins, software
The antibodies, chemicals, kits, recombinant proteins, peptides, and software can be found in the Reagents and Tools table.
Structural modeling
Structures of LMO4:peptide complexes were modeled using coordinates of LMO4:Ldb1 complex (PDBId: 1RUT) using Swiss‐PDB Viewer v4.1 (Guex & Peitsch, 1997; Johansson et al, 2012). Positional refinement and calculation of free binding energy ΔΔG of LMO4:peptide complexes were performed by FoldX v5 (Schymkowitz et al, 2005). Donor and acceptor atoms of LMO4 LI1:Jacob peptide complexes were identified using ZINCPharmer and ZINC15 (11/20) (Koes & Camacho, 2012). Nitarsone (4‐Nitrophenylarsonic acid) has been geometrically optimized and generated in PDB format by Avogadro v1.2 (Hanwell et al, 2012) and used as ligand for LMO4 LIM1 by molecular docking program AutoDock Vina v1.1.2 (Eberhardt et al, 2021). Secondary structures of full‐length hJacob and hCreb were predicted with PsiPred v1.1.2 (McGuffin et al, 2000). RaptorX (12/20) (Källberg et al, 2012) was used to predict the structure of Jacob C‐terminus. Structures were visualized using Open‐source PyMol v2.5 (pymol.org).
YTH screening
The YTH screening for Jacob interaction partners was performed using a pre‐transformed human brain cDNA Library in pACT2 (Matchmaker‐GAL4 Two‐Hybrid II; Clontech) as described previously (Helmuth et al, 2001; Dieterich et al, 2008). The yeast strains AH109 and Y187 as a partner (both from Clontech) were used.
Jacob‐LMO4 interaction was reconfirmed using fusion vectors (bait vector pGBKT7, prey vector pGADT7) using MATCHMAKER Two‐Hybrid System 3 (Takara Bio Europe/Clontech, France). Co‐transformed yeasts were assayed for growth on quadruple drop‐out medium (SD/–Ade/–His/–Leu/–Trp) and additionally for LacZ reporter activation accordingly to the manufacturer's instructions.
Recombinant protein production
GST‐tagged recombinant proteins (LMO4) were produced and purified as described previously (Dieterich et al, 2008; Karpova et al, 2013). For protein production, E. coli BL21 (DE3) strain was used. Following induction with 0.3 mM isopropyl‐beta‐D‐thiogalactoside (IPTG) at 18°C, cells were pelleted by centrifugation at 6,000 g for 15 min and purified from the soluble fraction by glutathione‐Sepharose chromatography (elution buffer: 50 mM Tris–HCl, 10 mM reduced glutathione, pH 8.0). For MBP‐tagged recombinant proteins (Jacob fragments (in aa): 45‐228, 1‐116, 117‐228, 262‐532, 262‐532, 45‐228, 45‐228‐S180D (phosphomimetic mutant), 45‐228‐S180A (phosphodeficient mutant)) lysis was done in 20 mM Tris buffer (pH 7.4), 200 mM NaCl, 1 mM DTT and 1 mM ethylenediaminetetraacetic acid (EDTA). Protein was eluted with lysis buffer + 10 mM maltose. His‐SUMO‐tagged recombinant proteins (CREB, CREB fragments (in aa): 1‐88, 1‐165, 1‐293, 89‐314, 89‐165, 166‐341, 166‐293, 294‐341) were purified from native conditions in which lysis buffer, wash, and elution buffer all have 50 mM NaH2PO4 (pH 8.0) and 300 mM NaCl with various concentrations of imidazole (10, 20, and 250 mM, respectively). All protease inhibitor (Complete, Roche) was used in all mentioned buffers. MBP‐tagged PP1ɣ was obtained from Creative BioMart (Cat. #PPP1CC‐84). The purity of the protein was checked on SDS‐PAGE gels stained and Coomassie blue staining.
Isothermal titration calorimetry
LMO4‐Nitarsone (98%, ABCR Gute Chemie) binding affinity was measured using VP‐ITC calorimeter (MicroCal) and data were analyzed by MicroCal LLC ITC software (MicroCal). Both purified GST‐LMO4 protein and Nitarsone were prepared in 25 mM Tris buffer (pH 7.4) containing 50 mM NaCl. 20 μM GST‐LMO4 or buffer control (to calculate heat of dilution) was titrated against 180 μM Nitarsone. LMO4 and Jacob binding affinity was measured by analyzing binding isotherms for titration of 5 μM Jacob and 40 μM LMO4. To estimate the influence of Nitarsone on Jacob‐LMO4 interaction, LMO4 protein was saturated with Nitarsone, and subsequently the Jacob protein was injected. Typically for an ITC experiment, 30 injections of 10 μl each were made at 180 s intervals. Heat change was determined by integration of the obtained peak of differential power by the instrument. Different parameters such as binding enthalpy (ΔH), dissociation constant (K D), and stoichiometry were calculated.
Pull‐down assays
Pull‐down assays performed as described previously (Dieterich et al, 2008, Karpova et al, 2013). Briefly, protein amounts ranging from 1 to 10 μg along with the equivalent amount of the control tag protein was bound on the respective beads and was incubated with 5% bovine serum albumin (BSA) for 1 h at room temperature (RT). 200 ng–10 μg of the second recombinant protein was incubated with the resin bound protein in 1 ml Tris‐buffered saline (TBS) buffer for 1 h either at RT or 3 h at 4°C. After three washing steps with TBS buffer containing 0.2–0.5% Triton X100, the complex was eluted in 2× sodium dodecyl sulfate (SDS) sample buffer (250 mM Tris–HCl, pH 6.8, 1% (w/v) SDS, 40% (v/v) glycerol 20% (v/v) β‐mercaptoethanol, 0.004% bromophenol blue).
For competition pull‐down assay 20 μg of GST‐LMO4 and equimolar amounts of GST control protein were bound to glutathione beads followed by 5% BSA blocking and washing with 50 mM Tris‐Cl, pH 7.5, and 150 mM NaCl. Different combinations of recombinant proteins (i.e., HIS‐SUMO‐CREB; 1:1 of His‐SUMO‐CREB and MBP‐Jacob‐45‐228; 1:4 of His‐SUMO‐CREB and MBP Jacob‐45‐228; and 1:8 of His‐SUMO‐CREB and MBP‐Jacob‐45‐228) were incubated with GST‐LMO4 and GST (control protein) immobilized on Protino Glutathione Agarose 4B beads (Macherey‐Nagel). Probes were eluted with 25 μl of 2× SDS sample buffer after incubation and washing steps (washing buffer: 50 mM Tris pH 7.4, 500 mM NaCl, 0.1% Triton X100, and protease inhibitor without EDTA).
For pull‐down assays with Nitarsone 10–20 μg of GST‐LMO4 or GST control protein were immobilized on glutathione beads followed by overnight incubation with 1–20 μM of Nitarsone solution at 4°C. Equimolar MBP‐Jacob‐45‐228 were added to the solution and incubated rotating for 2 h and washing was performed with 20 mM Tris‐Cl (pH 7.4), 150 mM NaCl, 0.2% TritonX‐100 containing phosphatase and protease inhibitors. Complex was eluted using 2× SDS sample buffer. A schematic showing the experimental outline of the pull‐down experiments is included in the main figures.
Heterologous co‐immunoprecipitation
The constructs (LMO fragments (in aa) tagged with tRFP: 1‐80 or 81 with GFP, or Jacob fragments (in aa): tagged with GFP: 45‐172, 173, 246; mcherry‐PP1ɣ (Liu et al, 2010) with GFP or Jacob or Jacob fragments (in aa) tagged with GFP: 1‐172, 247‐309, 310‐532, 213‐246, 173‐246) were heterologously expressed in HEK293T cells. Cells were harvested in cold TBS buffer containing protease inhibitors (Roche) and phosphatase inhibitors (Roche), in a 1 g/10 ml ratio 48 h after transfection. The pelleted cells were lysed in cold RIPA buffer (50 mM Tris–HCl (pH 8.0), 150 mM NaCl, 1% NP40, 0.5% doxycycline (DOC), 0.1%, SDS, protease and phosphatase inhibitors, pH 7.4) for 1.5 h in 4°C, rotating. The lysates were subsequently centrifuged at 20,000 g for 20 min. The supernatant was incubated with 25 μl of μMACS Anti‐GFP MicroBeads (Miltenyi Biotec) for 40 min in 4°C, rotating. Beads were collected with the use of μMACS magnetic column and washed twice with 400 μl of RIPA buffer and 300 μl of 20 mM Tris–HCl (pH 7.5). 60 μl of hot 2× sample buffer (250 mM Tris–HCl, pH 6.8, 1% (w/v) SDS, 40% (v/v) glycerol 20% (v/v) β‐mercaptoethanol, 0.004% bromophenol blue) was used for protein elution.
The phospho‐dependent association of overexpressed nuclear Jacob was assessed by heterologous co‐immunoprecipitation from HEK293T cells pre‐treated with 20 nM staurosporine (Cell Signaling Technology, Cat.: #9953S) for 3 h.
Characterization of Jacob antibodies
For initial characterization of anti‐panJacob and pJacob (S180) antibodies for the detection of human protein HEK293T cells were transfected with the plasmid expressing hJacob‐SPOT. Overexpressed protein was immunoprecipitated from the cell lysate using tag‐specific nano‐trap (SPOT‐Trap‐MA, Chromotek) and analyzed by WB.
Immunoblotting of brain protein extracts
Human brain samples were homogenized in a buffer containing 0.32 M sucrose, 5 mM HEPES, protease inhibitors (Sigma), and phosphatase inhibitors (Roche), in a 1 g/10 ml ratio. The homogenates were centrifuged at 1,000 g for 10 min at 4°C. The pellets were used for immunoblotting. For immunoblotting of murine samples (CA1), dissected hippocampi were homogenized with TRIS‐buffered saline (25 mM Tris–HCl, 150 mM NaCl, pH 7.4 buffer in the presence of protease (Complete, Roche)), and phosphatase inhibitors (PhosSTOP, Roche). Band intensities were quantified with Fiji/ImageJ (Schindelin et al, 2012).
Quantitative real‐time PCR
Hippocampal homogenization, RNA extraction and cDNA preparation were described previously (Spilker et al, 2016). Bdnf exon IV (F primer: 5′‐GCAGCTGCCTTGATGTTTAC‐3′, R primer: 5′‐CCGTGGACGTTTGCTTCTTTC‐3′) and β‐actin (reference gene, F primer: 5′‐AACGCAGCTCAGTAACAGTCC‐3′, R primer: 5′‐GTACCACCATGTACCCAGGC‐3′) cDNA were amplified using the iScript RT‐PCR iQ SYBR Green Supermix (BIORAD, Cat.: #170882) in a quantitative polymerase chain reaction (qPCR) detection system (LightCycler LC480, Roche). The sequences are indicated in the Reagents and Tools table. The relative expression levels were analyzed using the 2−ΔΔCt method with normalization relative to β‐actin.
Cell based co‐recruitment assay
HEK293T cells were transfected with the following constructs: Jacob‐1‐228 tagged with GFP with tRFP or LMO4 or LMO4 fragments (in aa): 1‐165, 1‐80, 81‐165; PP1ɣ tagged with GFP (Trinkle‐Mulcahy et al, 2001) and mCherry (Liu et al, 2010) or ΔMyr‐Jacob tagged with tRFP. On the following day, cells were fixed with 4% PFA, permeabilized with 0.1% TX‐100 in 1xPBS for 10 min, stained with DAPI and mounted. Z‐stack with 300 nm step size was taken with 512 × 512 pixels format using a Leica TCS SP8‐STED system. Maximal intensity images from three optical sections were generated for representative images.
FRET and SRET assays
For FRET experiments, HEK293T cells were transiently co‐transfected with MaxPEI (Polysciences, Cat.: #23966), with different combinations of two constructs of interest tagged with donor (GFP: LMO4, CREB, Jacob, Jacob fragments (in aa): 1‐228, 262‐532) or acceptor (tagRFP: LMO4, LMO4 fragments (in aa): 1‐80, 81‐165, CREB, CREB fragments (in aa): 1‐165, 166‐341), with constant concentration of cDNA of donor and increasing concentration of acceptor. FRET was performed as described previously (Carriba et al, 2008). For SRET measurements, transfected cells were resuspended in Hank's balanced salt solution supplemented with 10 mM glucose (Sigma‐Aldrich). Triple‐transfected (CREB‐Rluc:Jacob‐GFP:LMO4‐tagRFP) cell suspension was used to perform the three measurements: (i) The LMO4‐tagRFP expression level was assessed by the tagRFP fluorescence intensity, (ii) The CREB‐Rluc expression level was estimated by CREB‐Rluc luminescence determined 10 min after the addition of coelenterazine‐H (5 μM), (iii) For SRET, the cells were incubated with 5 μM of DeepBlueC (Molecular Probes). The measurements were done with Mithras LB940 (Berthold Technologies) equipped with detection filters at 400 and 590 nm. Net SRET was defined as [(long‐wavelength emission)/(short‐wavelength emission)] − Cf, where Cf corresponds to [(long‐wavelength emission)/(short‐wavelength emission)] for cells expressing CREB‐Rluc:Jacob‐GFP:LMO4‐tRFP.
Luciferase assay
HEK293T cells stably expressing luciferase under the CRE promoter (vector pGL4.29[luc2P/CRE/Hygro], Promega) were transfected for 24 h and lysed with the lysis buffer (25 mM Tris‐phosphate, 2 mM DTT, 2 mM 1,2‐diaminocyclohexane‐N,N,N′,N′‐tetraacetic acid, 10% glycerol, 1% TX‐100, pH 7.8). The luciferase activity was measured with the Dual‐Luciferase Reporter Assay System (Promega) on a (FLUOstar Omega, BMG Labtech).
Animal perfusion and immunohistochemistry
Animals were anesthetized with ketamine/xylazine (Medistar) and transcardially perfused with 0.9% saline followed by 4% PFA. The brains were post‐fixed in 4% PFA in PBS overnight, followed by immersion in 0.5 M sucrose for 24 h and then 1 M sucrose for another 1–2 days or until the brains were sunken down. The brains were snap‐frozen and cut into 35 μm thick coronal cryosections (Leica CM3050S, Leica‐Microsystems). The sections were blocked in a buffer (0.3% TX‐100, 10% NGS in PBS) for 30 min at RT, and incubated with primary antibodies diluted in the blocking solution, overnight at 4°C. Secondary antibodies were applied for 2 h at RT. Sections were counterstained with DAPI and mounted in Mowiol 4‐88 (Merck Chemicals). For the detection of Aβ, the heat‐based antigen retrieval method was used. For anti‐Aβ staining, following permeabilization, brain sections were immersed into 10 μM sodium citrate solution (Fluka, pH = 9) for 30 min at 80°C. Imaging of nuclear pCREB/CREB immunoreactivities in cryosections was performed using a Leica TCS SP5 system (Leica‐Microsystems). Images were acquired sequentially with a HCX ApoL20x/1.0 water objective, optical zoom 4. Sections were imaged with constant laser/detector settings along the z‐axis with 400 nm step in a 512 × 512 pixel format.
OHSC stimulation and immunocytochemistry
For Aβ‐induced CREB shutoff Aβ1‐42 oligomeric solution was prepared as described in Grochowska et al (2017). Briefly, the Aβ1‐42 peptide film (Anaspec) was re‐suspended in 2 μl DMSO (Sigma‐Aldrich), sonicated for 5 min, diluted with F12 medium (Gibco) to final concentration of 50 μM, sonicated for 10 min, and left for oligomerization at 4°C, on. 7 DIV OHSC were treated with 1 μM of Aβ1‐42 oligomers for 1 h, fixed for 1 h at RT in 4% PFA/4% sucrose. After fixation, the slices were washed, permeabilized with 0.4% TX‐100, and treated with 50 mM NH4Cl for 30 min. Subsequently, the samples were blocked for 1 h at RT in 10% normal goat serum (NGS) in PBS. Next, the slices were incubated for 72 h with primary antibody followed by incubation with the secondary antibody for 24 h. Following counterstaining with 4′,6‐diamidino‐2‐phenylindole (DAPI; Vectashield/Biozol), slices were mounted in Mowiol 4‐88 (Merck Chemicals).
Primary cultures transfection and stimulation
Hippocampal neuronal cultures were transfected with plasmid cDNA using Lipofectamine2000 (Thermo Fisher Scientific) following the manufacturer's instructions. For LMO4 knockdown, cells were expressing shRNA (5′‐AGATCGGTTTCACTACATC‐3′) for 5 days; for Jacob knockdown 4 days. For CREB shutoff experiments, hippocampal neurons were transfected at DIV15 with NLS or ΔMyr‐Jacob or ΔMyr‐Jacob‐L175A‐V176A tagged with GFP or GFP and fixed after 24 h. For the experiment with OA (Tocris), cells were treated for 20 min with 2 μM OA 1 day post‐transfection. The target sequences for LMO4 and NLS‐Jacob knockdown (Spilker et al, 2016) as well as scrambled controls are indicated in the Reagents and Tools table. For Aβ‐induced CREB shutoff experiments, Aβ oligomers (Anaspec) were prepared as described previously (see previous section and Grochowska et al, 2017). Transfected neurons were treated with 500 nM Aβ1‐42 or Aβ3(pE)‐42. Nitarsone was diluted in distilled water. The concentration and duration of treatments are indicated in the figure legends.
Immunostaining of primary neurons
Primary neuronal cultures were fixed with 4% PFA/4% sucrose solution for 10 min at RT, washed with PBS, and permeabilized with 0.2% TX‐100 in PBS for 10 min. Then, cells were incubated for 1 h in blocking solution (2% glycine, 0.2% gelatine, 2% BSA, and 50 mM NH4Cl (pH 7.4)) and primary antibodies were applied overnight at 4°C. Next, the coverslips were incubated with secondary antibodies diluted 1:500. Coverslips were mounted with Mowiol 4‐88 (Merck Chemicals). For detection of Jacob‐CREB and Jacob‐LMO4 co‐localization in STED imaging, a heat‐based antigen retrieval protocol was used.
For assessing surface expression of AMPA receptors, dissociated hippocampal neurons were incubated for 10 min at RT with anti‐GluA1 antibody diluted in Tyrode's buffer (128 mM NaCl, 5 mM KCl, 1 mM MgCl2, 2 mM CaCl2, 4.2 mM NaHCo3, 15 mM HEPES, 20 mM glucose, pH 7.2–7.4), rinsed, and fixed for 10 min at RT with 4% PFA‐sucrose, and subsequently stained with other antibodies as described above.
STED microscopy
STED images were obtained using a Leica TCS SP8 STED 3× equipped with pulsed White Light Laser (WLL) and diode 405 nm for excitation and pulsed depletion laser 775 nm and Leica HC ApoCS2 100×/1.40 oil objective. MAP2 and DAPI were acquired in confocal mode. The pixel size for all images was 20–23 nm (XY‐plane). The Z‐step was 150 nm. STED and confocal images were deconvolved using Deconvolution wizard (Huygens Professional, SVI), with optimized iteration method. Intensity profiles were created in Fiji/ImageJ.
Proximity ligation assay
For proximity ligation between Jacob and CREB in primary neurons in conditions of basal glutamatergic transmission, coverslips were incubated with primary anti‐Jacob (rb) and anti‐CREB (ms) antibodies overnight at 4°C. For the detection of Jacob‐LMO4, PLA cultures were treated with Aß for 48 h either alone or in the presence of Nitarsone (5 μM). Then, cells were fixed with 4% PFA and incubated with anti‐Jacob (rb) and anti‐LMO4 (goat) antibodies overnight at 4°C. After washing of coverslips with Duolink wash buffer A (Sigma‐Aldrich), they were incubated with Duolink PLA probes PLUS and MINUS in a humidity chamber for 1 h at 37°C. For ligation of the probes, coverslips were again washed with buffer A and then incubated with ligase for 1 h at 37°C. For the amplification step, coverslips were washed with buffer A and then incubated with polymerase and Duolink FarRed Detection Reagent for 100 min at 37°C. Finally, coverslips were washed two times with Duolink wash buffer B and in PBS prior to incubation with MAP2‐488 antibodies for immunocytochemistry and DAPI counterstaining. Coverslips were mounted with Mowiol 4‐88. Images were acquired with a 63× (Leica) objective lens along the z‐axis with 300 nm z‐step in a 1,024 × 1,024‐pixel formats at 8‐bit image depth with at least two times frame average at 400 Hz laser frequency using the SP8 CLSM system (Leica‐Microsystems, Mannheim, Germany) equipped with white light laser (WLL).
Neuronal nuclei isolation and flow cytometry
Nuclei were isolated with a Nuclei Isolation Kit (Sigma Aldrich, Cat.: #NUC101) according to the manufacturer's protocol. Nuclei were fixed with ice‐cold methanol for 10 min. 0.5% Triton for permeabilization and 10% normal donkey's serum for blocking were used followed by 1 h RT incubation with respective primary and, subsequently, secondary antibodies (see the Reagents and Tools table). Nuclei were counterstained with Hoechst33342 (1:500, ThermoFisher Scientific, Cat.: #H3570). Samples were measured with a BD LSR II flow cytometer (BD Biosciences) and analyzed with FlowJo (LLC).
Whole‐cell patch‐clamp recording in slices
Hippocampal coronal brain slices (300 μm) were obtained from TBA2.1 mice, as described before (Justus et al, 2017) in four groups of mice: wild‐type littermates and TBA2.1 mice treated with sucrose; wild‐type littermates and TBA2.1 mice following Nitarsone treatment. Slices were kept at RT for up to 8 h in ACSF solution of the following composition in: 125 mM NaCl, 3 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 2.6 mM CaCl2, 1.3 mM MgCl2, 15 mM glucose (supplied with 95% O2, 5% CO2).
Whole cell patch‐clamp recordings were performed in the CA1 area of the hippocampus in ACSF solution using borosilicate glass (GB150F‐8P, Science Products) with pipette resistance in the range 3–6 MΩ. The internal solution contained: 140 Mm K‐gluconate, 7 Mm KCl, 5 Mm HEPES‐acid, 0.5 Mm MgCl2, 5 Mm phosphocreatine, and 0.16 Mm EGTA and was implemented with Biocytin (Sigma‐Aldrich). The signals were acquired with either an BVC‐700A amplifier (setup 1, Dagan) or an ELC‐03XS (setup 2, NPI) amplifier at 50 kHz via a LIH 8 + 8 interface (HEKA) and Igor Pro software (Version 8.0.4.2, WaveMetrics). The mean series resistance was 21.3 ± 0.2 MΩ (mean ± SEM). Recordings were performed at the temperature of 33°C. Membrane potential was not corrected for the liquid junction potential. No difference in membrane potential was observed between the experimental groups. For the investigation of the electrophysiological properties, neurons were held at a membrane potential of −65 mV by current injection. First, a step current injection protocol was performed, consisting of 500 ms step pulses with of −200 pA, −100 pA, −50 pA, −30 pA, −20 pA, −10 pA, +10 pA, +20 pA, +30 pA, +50 pA, +100 pA, +200 pA, +300 pA, +400 pA and +500 pA. For estimation of rheobase, 500 ms square pulse currents were injected with increasing amplitudes in steps of 2 pA until an action potential was generated.
The input resistance (IR) was calculated using −30 pA to +30 pA step‐wise current injections as the slope of the relationship of the injected current and the steady state voltage response (Justus et al, 2017). Recordings were analyzed using Python (Version 5.1.5) and Igor Pro (V. 8.0.4.2, WaveMetrics). Statistical analysis was conducted using Prism 8 for Windows (Prism version for Windows, GraphPad Software) and IBM SPSS Statistic (Version 21).
SPECT‐imaging of CBF
Mice (3 months of age, both sexes) were intravenously injected with 99mTcHMPAO via chronically implanted catheters in the right external jugular vein. Jugular vein catheter implantation and preparation of the 99mTcHMPAO injection solution were done as described in Kolodziej et al (2014). For tracer injection, the catheter was extended by a polyethylene (PE) tube (BioMedical Instruments, 60 cm, prefilled with 150 μl 0.9% NaCl) and connected to a syringe containing 130–170 MBq/330 μl of freshly prepared 99mTc‐HMPAO‐solution. Injections were made at flow rates of 33 μl/min during periods of 15 min. During this time, the animals were awake and freely moving. After injection, animals were anesthetized (4–1.5% isoflurane, 800 ml/min O2) and transferred to the SPECT/CT‐scanner. The injected 99mTc activity was calculated by determining the amounts of 99mTc that had remained in the syringe and in the extension tube by using a radionuclide calibrator (Aktivimeter Isomed 2010, Nuklear‐Medizin‐Technik Dresden GmbH). Co‐registered head SPECT/CT‐scans were made using a four‐head NanoSPECT/CT (Mediso). CT scans were made at 45 kVp, 177 μA, with 180 projections, 500 ms per projection and 96 μm spatial resolutions, reconstructed (InVivoScope 1.43) at isotropic voxel‐sizes of 100 μm. SPECT scans were made using 10‐pinhole mouse brain apertures with 1.0 mm pinhole diameters, providing a nominal resolution of < 0.7 mm. In all, 24 projections were acquired during a scan time of 1 h. Axial FOV was 20.9 mm. Photopeaks were set to the default values for 99mTc (140 keV ± 5%). SPECT images were reconstructed (HiSPECT, v 1.4.1876, SCIVIS) at an isotropic voxel output size of 250 μm. The co‐registered SPECT/CT‐images were aligned to a reference MR (MPI Tool software, v6.36, ATV; Dorr‐Steadman‐Ullmann‐Richards‐Qiu‐Egan (40 micron, DSURQE)) and SPECT brain datasets were global mean normalized using ImageJ. Further data processing and calculation of group means and differences and statistical analyses were done using ImageJ and Matlab (R2017b). Results were illustrated with Osirix (v. 5.8.1) (Rosset et al, 2004).
Nitarsone feeding regime
Nitarsone (98%, ABCR Gute Chemie) was prepared in aliquots of 15 mg/850 μl (350 μl dH2O, 500 μl MediGel Sucralose, ClearH2O) to be used within 5 days. Mice were treated with Nitarsone (50 mg/kg body weight) or vehicle (sucrose solution) once a day per os for a total of 6–7 weeks. For TBA2.1 mice (both sexes), treatment started at the age of 4 weeks. The animals were group housed and force fed for 4 weeks. Afterwards, they were single housed with voluntary feeding (Nitarsone or vehicle mixed into a gel paste, DietGel boost Hazelnut, ClearH2O). The animals were forced‐fed when no uptake of paste was observed. Treatment in 5xFAD male mice started at the age of 12 weeks. Here, animals were single housed with voluntary feeding right away. The animals were forced‐fed when no uptake of paste was observed. Behavioral experiments were conducted for both lines during the 6th week of Nitarsone treatment. During the course of the 7th week of treatment, animals were either subjected to perfusion to obtain their brains for subsequent immunohistochemistry or they were culled to obtained native brains for electrophysiological recordings.
Open‐field test
Locomotor activity was assessed using the open‐field test, performed in a square arena (45 × 45 × 45 cm) made of black Plexiglas and dimly illuminated. The animals were placed in the center of the arena, and were left to explore it for 10 min. The sessions were video recorded, and the distance traveled in the maze as well as the speed was tracked with ANY‐maze Software 7.0 (Stoelting Co). Data were analyzed in 1 min bins.
Novel object recognition and location
The hippocampus‐dependent memory was assessed using a novel object location and novel object recognition tasks. Assays were performed as described elsewhere (Andres‐Alonso et al, 2019). Briefly, training and testing were done in an open‐field square arena made out of plastic (50 cm × 50 cm). The mice were habituated in the empty arena for 20 min. Subsequently, two identical objects were introduced to the maze and the animals could explore the objects in two training session, 20 min each. 2 h afterwards, in the memory test phase, one object was replaced with an unfamiliar, unknown object (novel object recognition). Afterwards, the location of one object was changed (novel object recognition). During all sessions, the amount of time the animals explored the objects was recorded, and a discrimination index was calculated using the formula DI = [(Tnew − Tfamiliar)/(Tnew + Tfamiliar)] × 100. The arena was cleaned with 5% ethanol before and after each animal was tested.
Y‐maze object recognition
Y‐maze Object Recognition short‐term memory task was performed according to Creighton et al (2019). During training session, two identical objects (3D printed rectangle) were placed at the end of arms B and C and the animal was left to explore both objects for 10 min. To assess short‐term memory, retrieval performance was tested 3 h after training with one of the familiar objects replaced by a novel one (wooden cube). The mice were placed in the arena, and had 5 min to explore both objects. During both sessions, the time animals explored the objects was scored, and a discrimination index was calculated, in the same manner as for the novel object recognition test.
Image analysis of murine brain sections
All quantifications were done within the distal CA1 region of the hippocampus. Fiji/ImageJ software (Schindelin et al, 2012) was used to calculate maximum intensity projection from five optical sections for each channel. CREB and pCREB immunoreactivity of every single nucleus in a 100 μm stretch was measured in arbitrary units of pixel intensity. ROIs were defined based on NeuN and DAPI. The neuronal loss was quantified based on NeuN staining (the number of neurons/CA1 length). For the quantification of microglia and astrocytes the number of cells based on overlaid DAPI and Iba‐1 or GFAP signal was quantified within the rectangular ROI. Aβ plaques were counted in the region where the neuronal loss was quantified. For the quantification of synaptic density, the openview (Tsuriel et al, 2006) software was used.
Image analysis of hippocampal cultures
For quantitation of nuclear staining intensity (pCREB or CREB), somatic regions were sequentially scanned using the 63× objective (Leica) in both: Leica TCS SP8‐STED and Leica TCS SP5 systems. Image format was set either to 1,024 × 1,024 or 512 × 512 with optical zoom 4. Average intensity images from three optical sections (z‐step 300 nm) were generated and intensity measurements were performed within the ROIs defined by DAPI. The values were normalized to the mean intensity of the control group. Unprocessed images were analyzed using Fiji/ImageJ software (Schindelin et al, 2012). For visualization of the quantified channel, a fire look‐up table (LUT) was used.
Synaptic density was quantified in secondary dendrites using Fiji/ImageJ (Schindelin et al, 2012). The number of synaptophysin and Shank3‐positive puncta was divided by the length of the dendritic segment. Intensity of the GluA1 channel was measured in ROIs defined by a Shank3 mask as a readout for surface AMPAR expression. All analysis was performed on raw, unprocessed images. For some representative images, linear contrast enhancement (histogram normalization) was applied equally for all groups. The figures were created with Adobe Illustrator or Photoshop software.
Statistical analysis
All analysis was performed by a researcher blind to experimental groups (treatments, genotypes, transfected constructs). Statistical analysis was performed in Prism 8.0 (GraphPad) with the exception of SPECT data analysis where the Matlab (R2017b), and whole‐cell patch‐clamp recording where IBM SPSS Statistic (Version 21) are used. To choose the appropriate statistical analysis, a normality test (Shapiro–Wilk test) was performed. For normally distributed data, the parametric test was chosen: two‐tailed Student's t‐test (comparison of two groups) or one‐way ANOVA (multiple groups with one parameter) or two‐way ANOVA (multiple groups with two parameters). Nested data (immunohistochemistry analysis of cryosections from mouse brains) were analyzed with (generalized) linear mixed‐effects model (lmer function of the lme4 R package (Bates et al, 2015)) using R Studio (Version 4.2.1) with Tukey multiple comparison post hoc analysis carried out using the emmeans package (Lenth et al, 2020). For not normally distributed data, Mann–Whitney (comparison of two groups) or Kruskal–Wallis test was used (multiple groups). The type of statistical test used for each experiment, significance levels and the n numbers are reported in the corresponding figure legends. Merged values are represented as mean ± SEM. For qPCR data (Ct values) and immunohistochemistry data (staining of cryosections) were subjected to Dixon's or Grubb's outlier test.
Author contributions
Katarzyna M Grochowska: Data curation; investigation; visualization; methodology; writing – original draft; writing – review and editing. Guilherme M Gomes: Investigation; methodology; writing – original draft; writing – review and editing. Rajeev Raman: Investigation; methodology; writing – review and editing. Rahul Kaushik: Investigation; methodology. Liudmila Sosulina: Investigation; methodology; writing – review and editing. Hiroshi Kaneko: Investigation; methodology; writing – review and editing. Anja M Oelschlegel: Investigation; methodology; writing – review and editing. PingAn Yuanxiang: Investigation; methodology; writing – review and editing. Irene Reyes‐Resina: Investigation; methodology; writing – review and editing. Gonca Bayraktar: Investigation; methodology; writing – review and editing. Sebastian Samer: Investigation; methodology; writing – review and editing. Christina Spilker: Investigation; writing – review and editing. Marcel S Woo: Investigation; methodology; writing – review and editing. Markus Morawski: Investigation; methodology; writing – review and editing. Jürgen Goldschmidt: Investigation; methodology; writing – review and editing. Manuel A Friese: Resources; methodology; writing – review and editing. Steffen Rossner: Resources; investigation; writing – review and editing. Gemma Navarro: Investigation; methodology. Stefan Remy: Resources; investigation; methodology; writing – review and editing. Carsten Reissner: Investigation; methodology; writing – review and editing. Anna Karpova: Data curation; supervision; funding acquisition; investigation; visualization; methodology; writing – original draft; project administration; writing – review and editing. Michael R Kreutz: Conceptualization; resources; data curation; supervision; funding acquisition; writing – original draft; project administration; writing – review and editing.
Disclosure and competing interests statement
KMG, GMG, AMO, AK, CR, and MRK are named inventors of the patent application No. EP22166017.
Supporting information
Acknowledgements
The authors gratefully acknowledge the professional technical assistance of M. Marunde, C. Borutzki, S. Hochmuth, K. Böttger, T. Stöter, and O. Kobler. We would like to thank Dr. Schilling and Probiodrug for the generous gift of the TBA2.1 mouse line and Dr. Głów for the help with virus production. We would like to thank Dr. A.V. Failla from the UKE Microscopy Imaging Facility (DFG Research Infrastructure; RI_00489) CNI. This work was supported by grants from the Deutsche Forschungsgemeinschaft (DFG) (Kr 1879/9‐1/FOR 2419, FOR 5228 RP6; Kr1879/10‐1; CRC 1436 TPA02, TPA04 and Z01; Research Training Group 2413 SynAGE, TPA3), BMBF “Energi” FKZ: 01GQ1421B, The EU Joint Programme—Neurodegenerative Disease Research (JPND) project STAD (FKZ: 01ED1613) and Leibniz Foundation SAW 2017, 2018, 2019 “Neurotranslation,” SyMetAge and “SynERCA” to MRK. People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007‐2013/under REA grant agreement no. [289581], H2020 Priority Excellent Science, Marie Sklodowska‐Curie Actions (MSCA) MC‐ITN NPlast to KMG, MRK. DFG CRC 779 TPB8, FOR 5228 RP6 and CRC 1436 TPA02 to AK. U.S. Alzheimer's Association, grant Ref. No. AARFD‐17‐503612 to GNB. DAAD/CAPES scholarship, Alexander‐von‐Humboldt Foundation (99999.001756/2014‐01), federal state of Saxony‐Anhalt and the European Regional Development Fund (ERDF 2014 ‐ 2020), Project: Center for Behavioral Brain Sciences (CBBS) Neuronetwork (ZS/2016/04/78113, ZS/2016/04/78120) to GMG, DFG GRK1167 scholarship to RK. Open Access funding enabled and organized by Projekt DEAL.
The EMBO Journal (2023) 42: e112453
Contributor Information
Anna Karpova, Email: akarpova@lin-magdeburg.de.
Michael R Kreutz, Email: michael.kreutz@lin-magdeburg.de.
Data availability
This study includes no data deposited in external repositories.
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