Introduction
Normal aging is associated with impairments of multiple aspects of cognitive function [1–4]. Dysregulation of brain energy metabolism has been linked to both the normal aging process and multiple neuronal disorders characterized by cognitive impairments such as Alzheimer’s disease (AD) [5–7]. AMP-activated protein kinase (AMPK) functions as a sensor at the molecular levels that plays a crucial role in regulation of cellular energy homeostasis [8]. Mounting evidence suggests a link between aberrant AMPK signaling and aging-related deficiencies of synaptic plasticity and dementia syndromes [9]. One important downstream effect of AMPK is the regulation of protein synthesis or mRNA translation, which is essential for the long-lasting form of memory and synaptic plasticity [10]. AMPK can regulate mRNA translation through suppression of the mammalian target of rapamycin complex 1 (mTORC1) or phosphorylation and inhibition of the eukaryotic elongation factor 2 (eEF2) by activating its kinase eEF2K [11]. We recently reported that AMPK signaling involves the phosphorylation of the α subunit of eukaryotic initiation factor 2 (eIF2α), which may serve as a key underlying molecular mechanism during memory formation [12, 13].
Mammalian AMPK is composed of catalytic α subunit, and β and γ subunits (regulatory). The kinase catalytic subunit has two isoforms α1 and α2 that, are encoded by separate genes (Prkaa1 and Prkaa2) located in distinct chromosomes [14, 15]. AMPKα1 and α2 are both present in the brain, but whether and how regulation of different AMPKα isoforms is involved in neuronal function remain elusive. We recently reported, in young mice (3-6 months old), that neuronal repression of the AMPKα2 (not AMPKα1) results in cognitive defects and long-term synaptic plasticity impairments [12]. Meanwhile, we demonstrated abnormal hyperactive AMPK signaling in the hippocampus of aged mice [2]. In the current study, we aim to investigate how suppression of either AMPKα isoform in neurons may contribute to the regulation of cognitive and synaptic function associated with aging.
Materials and Methods
Mice
Mice were housed in a barrier facility at Wake Forest School of Medicine. Operation of the facility complies with standards of the US Department of Agriculture’s Animal Welfare Information Center (AWIC), and the NIH Guide for Care and Use of Laboratory Animals. The facility is on a 12-hour light/dark cycle, with a regular cage-cleaning and feeding schedule. Female and male mice were both used. Polymerase chain reaction (PCR) was performed to verify the genotypes.
Mouse behavioral studies
Mice for behavioral studies were handled for 5 days before behavioral testing and habituated for at least 1 hour prior to experiments. Open field (OF) test, Novel object recognition (NOR) test, Morris water maze (MWM) test, visible platform test, and passive avoidance (PA) test were carried out as described [16, 17].
Preparation of acute hippocampal slices and synaptic electrophysiology
Transverse hippocampal slices of 400 μm thick were prepared as described previously [18]. Slices were maintained at room temperature for at least 2 hours before experimentation in artificial cerebrospinal fluid (ACSF). For synaptic electrophysiology, slices were transferred to preheated (32° C) recording chambers where they were superfused with ACSF. High-frequency stimulation (HFS, consisting of two 1-sec 100 Hz trains separated by 60 sec) was delivered to induce late-LTP (L-LTP) [12].
Western blots
Brain tissues were dissected, and flash frozen on dry ice. Protocols for Western blot were as described [12]. Resources of antibodies were as described [12].
Surface sensing of translation (SUnSET) assay
Slices were maintained in ACS at room temperature for at least 2 hours before experiments. Slices were further incubated for 1 hour at 32° C in ACSF containing Puromycin (1 μg/mL). Micro-dissected area CA1 slices were used for Western blot analysis. Puromycin labeled proteins and de novo proteins synthesis were detected by using the anti-puromycin antibody, and quantified from the total lane (15 to 250 kDa).
Transmission electron microscopy (TEM)
Protocols for TEM sample preparation and imaging were described in our recent studies [12].
Mass spectrometry (MS)/ proteomic analysis
MS experiments were performed at Rutgers University center for advanced biotechnology and medicine using a Dionex rapid-separation liquid chromatography system interfaced with a QE HF (Thermo Fisher Scientific). Details for MS analysis were described previously [19].
Statistical analysis
Data are presented as mean ± SEM. A two-tailed unpaired Student’s t-test was used for two groups comparisons. One-way ANOVA and post hoc tests (when applicable) were used to compare multiple groups. p < 0.05 were considered statistically significant. Sample size was based on previous publication [12]. GraphPad Prism software was applied for data analysis. Outliers were assessed by Grubbs test.
Results and Discussion
Genetic suppression of the neuronal AMPKα1 isoform does not alter hippocampal long-term synaptic plasticity in aged mice
Furthermore, we examined whether suppression of the AMPKα isoforms affects hippocampal long-term potentiation (LTP), a form of synaptic plasticity that is considered as a cellular model for learning and memory [23]. In this study, we induced protein synthesis-dependent late LTP by applying a strong electric stimulation protocol [2]. The LTP in the aged Cre+/- mice appeared to be normal (Figure 4), which is consistent with our previous findings in aged wild mice [2]. In addition, the AMPKα1 cKO and α2 cKO mice showed similar hippocampal LTP compared to the Cre+/- mice (Figure 4).

Phosphorylation levels of hippocampal eIF2α in aged mice are reduced by suppression of the neuronal AMPKα1 isoform in aged mice
We seek to understand molecular mechanisms underlying the behavioral phenotypes associated with the suppression of AMPKα isoforms in aged mice. It has been reported that inhibition of overall AMPK activity results in phosphorylation of eEF2 and/or activation of the mTORC1 signaling, which would increase general protein synthesis [11]. Interestingly, we did not observe alterations of eEF2 phosphorylation in the hippocampus of either the AMPKα1 cKO or α2 cKO mice compared to the control group (Figure 5A). In addition, suppression of either AMPKα isoform did not affect the mTORC1 signaling in the hippocampus of the aged mice, as assessed by phosphorylation levels of mTOR (at both Ser2448 and Ser2481 sites), and of the two downstream substrates: p70S6K and 4EBP (Figure 5A and Supplementary Figure 3). Consistently, we also did not observe any significant effects of AMPKα isoform suppression on the phosphorylation levels of AKT, a well-established upstream regulator of mTORC1 (Figure 5A).

We recently reported, in young mice, that reduction of AMPKα2 results in increased phosphorylation of the eIF2α, which is associated with inhibition of translational capacity [12]. In contrast, here we did not observe alterations of eIF2α phosphorylation in the hippocampus of the aged AMPKα2 cKO mice compared to the Cre+/- mice group (Figure 5B). Notably, phosphorylation levels of eIF2α in the hippocampus of the aged AMPKα1 cKO mice were significantly decreased compared to those in either the control or the AMPKα2 cKO mice (Figure 5B). We further investigated ATF4, whose expression might be associated with eIF2α phosphorylation [24, 25]. We did not observe any changes in the protein levels of hippocampal ATF4 in AMPKα1 or α2 cKO mice (Figure 5C). Additionally, protein levels of eIF2α kinase PERK were also unaltered among all the groups (Figure 5D).
Phosphorylation of eIF2α is considered to result in repression of general protein synthesis [26]. We thus examined de novo protein synthesis in living hippocampal slices by the SUnSET assay [16]. Surprisingly, the results indicate no change of general protein synthesis levels (assessed by puromycin incorporation) among all three groups (Figure 5E). We further carried out transmission electron microscopy experiments to investigate regulation of hippocampal dendritic polyribosomes, an indicator of new protein synthesis [27]. We found that the presence of polyribosomes was unaffected by the suppression of either AMPKα1 or α2, compared to the control group (Figure 5F). Potential mechanisms for the unaltered overall de novo protein synthesis (in consideration of the eIF2α phosphorylation regulation) may involve the regulation of the protein degradation process and a balance between both upregulation and downregulation of individual protein synthesis (see the proteomics results below). Taken together, suppression of the AMPKα isoform in neurons does not alter the general mRNA translation rate in the hippocampus of aged mice.
Proteomic analysis reveals distinct alterations of protein expression levels associated with suppression of the neuronal AMPKα isoform in aged mice
To gain insights into the potential regulation of the expression of individual proteins associated with the AMPKα isoform reduction, we performed mass spectrometry (MS)-based proteomic experiments. (Figure 6C, 6D). Most significantly changed hippocampal proteins (up-regulated or down-regulated) in the AMPKα1 cKO or α2 cKO mice compared to the Cre+/- mice were shown in Tables 1–4 (illustrated in Supplementary Figure 4). To understand the differences in proteomics between AMPKα1 cKO and AMPKα2 cKO mice, we further generated a “volcano” plot to show the fold changes of protein expression levels in the AMPKα2 cKO mice compared to those in the AMPKα1 cKO mice (Figure 6B). In brief, levels of 29 proteins were increased and 16 proteins were decreased in the AMPKα2 cKO mice compared to the AMPKα1 cKO mice. Detailed lists of these proteins were shown in Tables 5, 6. To further understand how these regulated proteins are involved in different biological processes, we carried out the Gene Ontology (GO) analysis and the Gene Set Enrichment Analysis (GSEA) in AMPKα2 cKO and AMPKα1 cKO mice (Figure 6C, 6D). GO analysis of the differentially regulated proteins between AMPKα1 cKO and AMPKα2 cKO mice suggested that expression of proteins involved in the biological processes related to ribosome subunit biology was suppressed in the AMPKα2 cKO mice compared to AMPKα1 cKO mice. In contrast, expression of proteins involved in the metabolism-related processes was activated in the AMPKα2 cKO mice compared to AMPKα1 cKO mice (Figure 6C). Consistent with GO analysis, GSEA analysis shows that ribosome-related pathways were suppressed, while metabolism-related pathways were activated in AMPKα2 cKO mice compared to AMPKα1 cKO mice (Figure 6D). Interestingly, we found COVID-19-related pathways were suppressed in the AMPKα2 cKO mice, suggesting AMPKα isoforms may play distinct role in viral infection (Figure 6D).

Table 1. Top 10 down-regulated proteins in AMPKα1 cKO mice (compared to Cre+/-).
| Protein names | Gene names | P value | Log2Fold |
| LIM domain and actin-binding protein 1 | Lima1 | 0.013357 | -1.02045 |
| Interleukin-34 | Il34 | 0.017373 | -0.52683 |
| Peptidyl-prolyl cis-trans isomerase E | Ppie | 0.011286 | -0.5126 |
| Gamma-aminobutyric acid receptor subunit alpha-4 | Gabra4 | 0.0333 | -0.48554 |
| Guanine nucleotide binding protein, beta 2 | Gnb2 | 0.009171 | -0.46737 |
| Trafficking protein, kinesin binding 2 | Trak2 | 0.00616 | -0.42482 |
| Beta-hexosaminidase subunit alpha | Hexa | 0.016773 | -0.42092 |
| Cathepsin L1 | Ctsl | 0.014357 | -0.36424 |
| Prospero homeobox protein 1 | Prox1 | 0.003035 | -0.33767 |
| Transmembrane emp24 domain-containing protein 5 | Tmed5 | 0.025036 | -0.33653 |
Table 2. Top 10 up-regulated proteins in AMPKα1 cKO mice (compared to Cre+/-).
| Protein names | Gene names | P value | Log2Fold |
| 5-AMP-activated protein kinase subunit beta-1 | Prkab1 | 0.019052 | 0.423145 |
| GTP-binding protein Rhes | Rasd2 | 0.034253 | 0.437368 |
| Tropomyosin alpha-1 chain | Tpm1 | 0.021857 | 0.448768 |
| Dynein light chain 2, cytoplasmic | Dynll2 | 0.045608 | 0.468517 |
| Palmitoyltransferase | Zdhhc8 | 0.015551 | 0.523234 |
| Ubiquitin-conjugating enzyme E2 D1 | Ube2d1 | 0.0454 | 0.578678 |
| Short transient receptor potential channel 6 | Trpc6 | 0.006422 | 0.607953 |
| Progressive ankylosis protein | Ank | 0.00454 | 0.803404 |
| FAD-dependent oxidoreductase domain-containing protein 2 | Foxred2 | 0.002152 | 0.919643 |
| Nuclear factor NF-kappa-B p100 subunit | Nfkb2 | 0.00424 | 2.891302 |
Table 3. Top 10 down-regulated proteins in in AMPKα2 cKO mice (compared to Cre+/-).
| Protein names | Gene names | P value | Log2Fold |
| NAD(P) transhydrogenase, mitochondrial | Nnt | 0.00093 | -1.12257 |
| LIM domain and actin-binding protein 1 | Lima1 | 0.011128 | -1.05596 |
| U1 small nuclear ribonucleoprotein C | Snrpc | 0.030598 | -0.88195 |
| Centrosomal protein of 290 kDa | Cep290 | 0.03503 | -0.85265 |
| Peroxiredoxin 5 | Prdx5 | 0.004656 | -0.7859 |
| Serine protease inhibitor A3B | Serpina3b | 0.001913 | -0.76149 |
| Tubulin alpha chain-like 3 | Tubal3 | 0.012086 | -0.73929 |
| U6 snRNA-associated Sm-like protein LSm7 | Lsm7 | 0.031444 | -0.72817 |
| Transmembrane emp24 domain-containing protein 5 | Tmed5 | 0.002663 | -0.69864 |
| N6-adenosine-methyltransferase subunit METTL14 | Mettl14 | 0.046065 | -0.65453 |
Table 4. Top 10 up-regulated proteins in in AMPKα2 cKO mice (compared to Cre+/-).
| Protein names | Gene names | P value | Log2Fold |
| Coiled-coil domain-containing protein 97 | Ccdc97 | 0.000594 | 0.833568 |
| Transmembrane protein 69 | Tmem69 | 0.022074 | 0.959761 |
| Putative hydroxypyruvate isomerase | Hyi | 0.000394 | 0.971629 |
| Histone deacetylase 3 | Hdac3 | 0.002509 | 0.982715 |
| Myosin-10 | Myh10 | 0.003434 | 0.996647 |
| Putative tyrosine-protein phosphatase auxilin | Dnajc6 | 0.014514 | 1.097624 |
| Progressive ankylosis protein | Ank | 0.000313 | 1.211377 |
| Internexin neuronal intermediate filament protein, alpha | Ina | 0.006883 | 1.231642 |
| Dedicator of cytokinesis protein 6 | Dock6 | 0.006143 | 1.297596 |
| Nuclear factor NF-kappa-B p100 subunit | Nfkb2 | 0.000778 | 3.381316 |
Table 5. Up-regulated proteins in AMPKα2 cKO mice compared to AMPKα1 cKO mice.
| Protein names | Gene names | P value | Log2Fold |
| Putative hydroxypyruvate isomerase | Hyi | <0.0001 | 1.13 |
| propionyl-CoA carboxylase subunit beta | Pccb | 0.0182 | 0.63 |
| Ribonuclease P protein subunit p14 | Rpp14 | 0.0022 | 0.58 |
| Histone deacetylase 3 | Hdac3 | 0.0239 | 0.56 |
| Dedicator of cytokinesis protein 6 | Dock6 | 0.0384 | 0.56 |
| Haloacid dehalogenase-like hydrolase domain-containing protein 3 | Hdhd3 | 0.0024 | 0.52 |
| Insulin-degrading enzyme | Ide | <0.0001 | 0.51 |
| Methyl-CpG-binding domain protein 2 | Mbd2 | 0.0382 | 0.43 |
| Adiponectin receptor protein | Adipor | 0.0356 | 0.41 |
| Delta-aminolevulinic acid dehydratase | Alad | 0.0163 | 0.38 |
| Complement C4 beta chain | C4b | 0.0280 | 0.37 |
| Activity-regulated cytoskeleton-associated protein | Arc | 0.0116 | 0.37 |
| ETS domain-containing transcription factor | Erf | 0.0406 | 0.37 |
| Vasculin | Gpbp1 | 0.0283 | 0.37 |
| Probable proline--tRNA ligase, mitochondrial | Pars2 | 0.0025 | 0.36 |
| Glycogen synthase, muscle | Gys1 | 0.0016 | 0.35 |
| 1,2-dihydroxy-3-keto-5-methylthiopentene dioxygenase | Adi1 | 0.0192 | 0.34 |
| Dual specificity testis-specific protein kinase 1 | Tesk1 | 0.0405 | 0.34 |
| Transmembrane protein 168 | Tmem168 | 0.0088 | 0.32 |
| trafficking protein, kinesin binding 2 | Trak2 | 0.0410 | 0.31 |
| Hydroxypyruvate isomerase | Hyi | 0.0027 | 0.30 |
| Glutamate-rich WD repeat-containing protein 1 | Grwd1 | 0.0263 | 0.30 |
| T-box brain protein 1 | Tbr1 | 0.0424 | 0.29 |
| Oligoribonuclease, mitochondrial | Rexo2 | 0.0071 | 0.29 |
| Probable ATP-dependent RNA helicase DDX58 | Ddx58 | 0.0147 | 0.29 |
| Uncharacterized protein CXorf38 homolog | 1810030O07Rik | 0.0153 | 0.29 |
| Sodium bicarbonate cotransporter 3 | Slc4a7 | 0.0360 | 0.28 |
| Cyclin-L2 | Ccnl2 | 0.0129 | 0.28 |
| Cytosolic endo-beta-N-acetylglucosaminidase | Engase | 0.0318 | 0.27 |
Table 6. Down-regulated proteins in AMPKα2 cKO mice compared to AMPKα1 cKO mice.
| Protein names | Gene names | P value | Log2Fold |
| 5-AMP-activated protein kinase catalytic subunit alpha-2 | Prkaa2 | <0.0001 | -0.64 |
| Calmodulin-binding transcription activator 2 | Camta2 | 0.0214 | -0.62 |
| WD repeat and FYVE domain containing 1 | Wdfy1 | 0.0191 | -0.62 |
| Aminoacylase-1 | Acy1 | 0.0145 | -0.58 |
| Protein FAM177A1 | Fam177a1 | 0.0021 | -0.55 |
| Disks large-associated protein 1 | Dlgap1 | 0.0064 | -0.51 |
| Necdin | Ndn | 0.0189 | -0.50 |
| UDP-N-acetylglucosamine transferase subunit ALG14 homolog | Alg14 | 0.0111 | -0.48 |
| FYVE, RhoGEF and PH domain-containing protein 5 | Fgd5 | 0.0086 | -0.44 |
| RNA binding protein fox-1 homolog 1 | Rbfox1 | 0.0340 | -0.40 |
| Codanin-1 | Cdan1 | 0.0213 | -0.39 |
| Bone morphogenetic protein receptor type-1B | Bmpr1b | 0.0139 | -0.39 |
| 3-ketoacyl-CoA thiolase A, peroxisomal | Acaa1a | 0.0042 | -0.38 |
| Vesicle-associated membrane protein 4 | Vamp4 | 0.0384 | -0.36 |
| Transmembrane emp24 domain-containing protein 5 | Tmed5 | 0.0051 | -0.36 |
| Ig heavy chain V | Ighv | 0.0342 | -0.33 |
Conclusions
In summary, the current study reported that suppression of neuronal AMPKα1 isoform can improve aging-related impairments of long-term recognition memory. Together with our previous studies in characterizing the young AMPKα transgenic mice, these novel findings point to a previously unrecognized role of AMPKα isoform homeostasis in cognition during development. The study indicates that the aging process might have distinct impact on the signaling pathways associated with the AMPKα isoforms, and future studies are necessary to determine the underlying mechanisms. Finally, it is appealing for future studies to explore whether targeting AMPKα isoform regulation could be a feasible strategy to mitigate aging-related cognitive impairments.
Supplementary Materials
Author Contributions
XZ, WY, XW and TM conceived and designed the study. XZ, WY, and XW performed the experiments. TM wrote the first draft of the manuscript. All authors contributed to the final draft of the manuscript.
Acknowledgments
We thank Dr. Haiyan Zheng at the center for advanced biotechnology and medicine of Rutgers University for her tremendous help on proteomics analysis. We thank the Wake Forest School of Medicine Pathology and Imaging Core for their help with tissue processing and technical help with imaging experiments.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Ethical Statement
All animal procedures were conducted in accordance with the standards and policies set by the US Department of Agriculture’s Animal Welfare Information Center (AWIC), and the NIH Guide for Care and Use of Laboratory Animals, with the approval of Wake Forest University School of Medicine Institutional Animal Care and Use Committee (IACUC).
Funding
This work was supported by National Institutes of Health grants R01 AG055581, R01 AG056622, and R01 AG073823 (T.M.).
References
- 1. Burke SN, Barnes CA. Neural plasticity in the ageing brain. Nat Rev Neurosci. 2006; 7:30–40. https://doi.org/10.1038/nrn1809 [PubMed]
- 2. Yang W, Zhou X, Ma T. Memory Decline and Behavioral Inflexibility in Aged Mice Are Correlated With Dysregulation of Protein Synthesis Capacity. Front Aging Neurosci. 2019; 11:246. https://doi.org/10.3389/fnagi.2019.00246 [PubMed]
- 3. Klencklen G, Després O, Dufour A. What do we know about aging and spatial cognition? Reviews and perspectives. Ageing Res Rev. 2012; 11:123–35. https://doi.org/10.1016/j.arr.2011.10.001 [PubMed]
- 4. Hedden T, Gabrieli JD. Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci. 2004; 5:87–96. https://doi.org/10.1038/nrn1323 [PubMed]
- 5. Lin MT, Beal MF. Mitochondrial dysfunction and oxidative stress in neurodegenerative diseases. Nature. 2006; 443:787–95. https://doi.org/10.1038/nature05292 [PubMed]
- 6. Błaszczyk JW. Energy Metabolism Decline in the Aging Brain-Pathogenesis of Neurodegenerative Disorders. Metabolites. 2020; 10:450. https://doi.org/10.3390/metabo10110450 [PubMed]
- 7. Ryu JC, Zimmer ER, Rosa-Neto P, Yoon SO. Consequences of Metabolic Disruption in Alzheimer’s Disease Pathology. Neurotherapeutics. 2019; 16:600–10. https://doi.org/10.1007/s13311-019-00755-y [PubMed]
- 8. Hardie DG, Ross FA, Hawley SA. AMPK: a nutrient and energy sensor that maintains energy homeostasis. Nat Rev Mol Cell Biol. 2012; 13:251–62. https://doi.org/10.1038/nrm3311 [PubMed]
- 9. Wang X, Zimmermann HR, Ma T. Therapeutic Potential of AMP-Activated Protein Kinase in Alzheimer’s Disease. J Alzheimers Dis. 2019; 68:33–8. https://doi.org/10.3233/JAD-181043 [PubMed]
- 10. Sossin WS, Costa-Mattioli M. Translational Control in the Brain in Health and Disease. Cold Spring Harb Perspect Biol. 2019; 11:a032912. https://doi.org/10.1101/cshperspect.a032912 [PubMed]
- 11. Steinberg GR, Kemp BE. AMPK in Health and Disease. Physiol Rev. 2009; 89:1025–78. https://doi.org/10.1152/physrev.00011.2008 [PubMed]
- 12. Yang W, Zhou X, Zimmermann HR, Ma T. Brain-specific suppression of AMPKα2 isoform impairs cognition and hippocampal LTP by PERK-mediated eIF2α phosphorylation. Mol Psychiatry. 2021; 26:1880–97. https://doi.org/10.1038/s41380-020-0739-z [PubMed]
- 13. Costa-Mattioli M, Gobert D, Stern E, Gamache K, Colina R, Cuello C, Sossin W, Kaufman R, Pelletier J, Rosenblum K, Krnjević K, Lacaille JC, Nader K, Sonenberg N. eIF2alpha phosphorylation bidirectionally regulates the switch from short- to long-term synaptic plasticity and memory. Cell. 2007; 129:195–206. https://doi.org/10.1016/j.cell.2007.01.050 [PubMed]
- 14. Hardie DG. AMPK--sensing energy while talking to other signaling pathways. Cell Metab. 2014; 20:939–52. https://doi.org/10.1016/j.cmet.2014.09.013 [PubMed]
- 15. Viollet B, Horman S, Leclerc J, Lantier L, Foretz M, Billaud M, Giri S, Andreelli F. AMPK inhibition in health and disease. Crit Rev Biochem Mol Biol. 2010; 45:276–95. https://doi.org/10.3109/10409238.2010.488215 [PubMed]
- 16. Gosrani SP, Jester HM, Zhou X, Ryazanov AG, Ma T. Repression of eEF2 kinase improves deficits in novel object recognition memory in aged mice. Neurobiol Aging. 2020; 95:154–60. https://doi.org/10.1016/j.neurobiolaging.2020.07.016 [PubMed]
- 17. Day SM, Yang W, Wang X, Stern JE, Zhou X, Macauley SL, Ma T. Glucagon-Like Peptide-1 Cleavage Product Improves Cognitive Function in a Mouse Model of Down Syndrome. eNeuro. 2019; 6. https://doi.org/10.1523/ENEURO.0031-19.2019 [PubMed]
- 18. Yang W, Zhou X, Ryazanov AG, Ma T. Suppression of the kinase for elongation factor 2 alleviates mGluR-LTD impairments in a mouse model of Alzheimer’s disease. Neurobiol Aging. 2021; 98:225–30. https://doi.org/10.1016/j.neurobiolaging.2020.11.016 [PubMed]
- 19. Sleat DE, Sun P, Wiseman JA, Huang L, El-Banna M, Zheng H, Moore DF, Lobel P. Extending the mannose 6-phosphate glycoproteome by high resolution/accuracy mass spectrometry analysis of control and acid phosphatase 5-deficient mice. Mol Cell Proteomics. 2013; 12:1806–17. https://doi.org/10.1074/mcp.M112.026179 [PubMed]
- 20. Beckelman BC, Yang W, Kasica NP, Zimmermann HR, Zhou X, Keene CD, Ryazanov AG, Ma T. Genetic reduction of eEF2 kinase alleviates pathophysiology in Alzheimer’s disease model mice. J Clin Invest. 2019; 129:820–33. https://doi.org/10.1172/JCI122954 [PubMed]
- 21. Akirav I, Maroun M. Ventromedial prefrontal cortex is obligatory for consolidation and reconsolidation of object recognition memory. Cereb Cortex. 2006; 16:1759–65. https://doi.org/10.1093/cercor/bhj114 [PubMed]
- 22. Buzsáki G, Moser EI. Memory, navigation and theta rhythm in the hippocampal-entorhinal system. Nat Neurosci. 2013; 16:130–8. https://doi.org/10.1038/nn.3304 [PubMed]
- 23. Bliss TV, Collingridge GL. A synaptic model of memory: long-term potentiation in the hippocampus. Nature. 1993; 361:31–9. https://doi.org/10.1038/361031a0 [PubMed]
- 24. Trinh MA, Kaphzan H, Wek RC, Pierre P, Cavener DR, Klann E. Brain-specific disruption of the eIF2α kinase PERK decreases ATF4 expression and impairs behavioral flexibility. Cell Rep. 2012; 1:676–88. https://doi.org/10.1016/j.celrep.2012.04.010 [PubMed]
- 25. Wek RC, Cavener DR. Translational control and the unfolded protein response. Antioxid Redox Signal. 2007; 9:2357–71. https://doi.org/10.1089/ars.2007.1764 [PubMed]
- 26. Wek RC. Role of eIF2α Kinases in Translational Control and Adaptation to Cellular Stress. Cold Spring Harb Perspect Biol. 2018; 10:a032870. https://doi.org/10.1101/cshperspect.a032870 [PubMed]
- 27. Ostroff LE, Botsford B, Gindina S, Cowansage KK, LeDoux JE, Klann E, Hoeffer C. Accumulation of Polyribosomes in Dendritic Spine Heads, But Not Bases and Necks, during Memory Consolidation Depends on Cap-Dependent Translation Initiation. J Neurosci. 2017; 37:1862–72. https://doi.org/10.1523/JNEUROSCI.3301-16.2017 [PubMed]





