Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2019 Sep 30;9:13990. doi: 10.1038/s41598-019-48238-6

M1 muscarinic receptor is a key target of neuroprotection, neuroregeneration and memory recovery by i-Extract from Withania somnifera

Arpita Konar 1,2, Richa Gupta 3,8, Rajendra K Shukla 3,7, Bryan Maloney 4, Vinay K Khanna 3, Renu Wadhwa 6,, Debomoy K Lahiri 4,5,, Mahendra K Thakur 1,
PMCID: PMC6769020  PMID: 31570736

Abstract

Memory loss is one of the most tragic symptoms of Alzheimer’s disease. Our laboratory has recently demonstrated that ‘i-Extract’ of Ashwagandha (Withania somnifera) restores memory loss in scopolamine (SC)-induced mice. The prime target of i-Extract is obscure. We hypothesize that i-Extract may primarily target muscarinic subtype acetylcholine receptors that regulate memory processes. The present study elucidates key target(s) of i-Extract via cellular, biochemical, and molecular techniques in a relevant amnesia mouse model and primary hippocampal neuronal cultures. Wild type Swiss albino mice were fed i-Extract, and hippocampal cells from naïve mice were treated with i-Extract, followed by muscarinic antagonist (dicyclomine) and agonist (pilocarpine) treatments. We measured dendritic formation and growth by immunocytochemistry, kallikrein 8 (KLK8) mRNA by reverse transcription polymerase chain reaction (RT-PCR), and levels of KLK8 and microtubule-associated protein 2, c isoform (MAP2c) proteins by western blotting. We performed muscarinic receptor radioligand binding. i-Extract stimulated an increase in dendrite growth markers, KLK8 and MAP2. Scopolamine-mediated reduction was significantly reversed by i-Extract in mouse cerebral cortex and hippocampus. Our study identified muscarinic receptor as a key target of i-Extract, providing mechanistic evidence for its clinical application in neurodegenerative cognitive disorders.

Subject terms: Target identification, Alzheimer's disease, Short-term memory, Alzheimer's disease

Introduction

Alzheimer’s disease (AD) is the most common form of age-related dementia and is among the most common forms of dementia of any type1. AD is primarily distinguished by accumulation of extracellular neuritic plaque that primarily consists of amyloid β peptide (Aβ)2,3, by intraneuronal tangles of hyperphosporylated microtubule-associated protein τ (MAPT, or τ)2,4, and by synaptic loss5,6. All of these processes are interconnected5,7,8. The earliest clinical sign that presents is usually loss of cognition and memory9,10. Ultimately, before neurodegeneration reaches biologically lethal stages, the person can forget even the closest relatives and be unable to identify them. Emotional costs upon caretakers may be incalculable, as they watch their loved one decline into someone who no longer knows them.

While multiple animal models exist for neuropathology of AD, particularly transgenics that contain one or more autosomal dominant AD mutants, or animals with humanized genes, artifacts of transgene expression may reduce their applicability to reaching conclusions about human diseases11,12. Therefore, mechanistic models still have a place in advancing AD research. One such model is to induce amnesia in test animals via scopolamine13,14. We have previously worked with this model and find it useful, particularly for mechanistically testing effects of substances with reputed neuroprotective (so-called ‘nootropic’) properties15,16.

Impairment in dendrite growth and arborization are cardinal features of memory loss in neurodegenerative diseases6,17,18. Associated molecular markers for dendrite growth and arborization include kallikrein 8 (KLK8) and microtubule associated protein2, c isoform (MAP2c), which are pivotal for these processes19,20. The MAP2 protein exists in four major isoforms, specifically MAP2a, MAP2b, MAP2c and MAP2d. MAP2a and MAP2b are higher molecular weight isoforms and are the predominant isoforms in the adult CNS. MAP2c and MAP2d, are low molecular weight isoforms. MAP2d contains four repeats in the C-terminus for binding to microtubules whereas MAP2c has three. MAP2c is found in growing dendrites and, in certain populations of neurons, in growing axons. It also is expressed in neurons that have the capacity to regenerate in the adult CNS21. MAP2c activity is implicated in AD-associated tauopathy22. MAP2c can prevent fibril formation of MAPT23. While both MAPT and MAP2c aggregate, their aggregate forms are distinct from each other24.

The apolipoprotein E (APOE) ε4 phenotype is associated with increased risk for AD2529. Interestingly, the ε4 phenotype does not bind MAP2c, while the ε3 phenotype, which is not associated with greater AD risk, does30. While the dentate gyrus of AD brains produces new neuronal cells, they fail to mature, and this failure is tied to great increase in the MAP2a and MAP2b isoforms of MAP231. In addition, KLK8 deficiency completely impaired the early phase of long-term potentiation32.

Multiple modern medications have ‘herbal’ origins, including but not limited to aspirin, digitalin, the biguanide class of antidiabetic drugs, and oncology drugs such as paclitaxel (Taxol). In recent years, herbal remedies from non-’Western’ traditional medicine have gained notice as viable sources for efficacious and safe drugs33,34. Among these substances, ashwagandha (Withania somnifera), aka Indian ginseng, poison gooseberry, or winter cherry, has received recognition as potentially possessing nootropic, neuroprotective, and neuroregenerative activity15,3538.

Inadequate information about mechanisms of action is a stumbling block for regulatory approval of application of many ‘herbal’ substances, including i-Extract, in clinical settings. Therefore, our laboratory previously examined novel neuroprotection and amelioration of memory deficits by ashwagandha leaf extract (i-Extract) in scopolamine hydrobromide challenged mice16. i-Extract also enhanced expression of neural plasticity genes associated with memory processes16,39. However, these studies did not sufficiently explore mechanisms of i-Extract recovery or protection of pathways inactivated by scopolamine or if the mechanism was independent. Therefore, our current goal is to elucidate specific targets of i-Extract that induce both changes in gene expression and in cellular biology.

Scopolamine is a muscarinic acetylcholine receptor (mAChR) antagonist14 and has its greatest binding affinity for muscarinic receptors, which are also crucial for plasticity and memory40,41. We hypothesized that i-Extract might target the same receptors to exert neuroprotective and neurotrophic activity. Herein, we treated mouse primary neurons and mice with i-extract after challenge with scopolamine. We also used the high-affinity M1 muscarinic receptor antagonist dicyclomine42,43 and the muscarinic agonist pilocarpine44,45 to investigate neuroprotective and neurotrophic potentials of i-Extract. We measured dendritic formation and growth in primary neuronal cell culture and mouse cerebral cortex and hippocampus. We found that i-Extract treatment reversed adverse effects of scopolamine, and this reversal was mediated through the muscarinic receptor pathway. Dendrite data was echoed by parallel changes in levels of KLK8 and MAP2c. We finally substantiated our findings by muscarinic receptor binding assay, wherein binding of radioligand 3H-quinuclidinyl benzilate (3H-QNB)46,47 was determined in cortical and hippocampal membrane lysates of i-Extract treated mice.

We had previously determined that the active component of i-Extract responsible for anti-scopolamine activity was withanone16. Withanone is a steroidal phytocompound that can be extracted from both roots and leaves of W. somnifera16,4851. A co-occurring withanolide, withaferin, is under investigation for treatment of cancer52. Withanone reduced nonspecific cytotoxicity of withaferin without reducing apparent anti-metastatic activity of withaferin53. On its own, withanone protected against NMDA-induced cytotoxicity in neuronal cell cultures54, suppressed proliferation of activated microglia48, decelerated human fibroblast senescence49, and improved cognitive function in Wistar rats along with reduction of Aβ50. It also recovered scopolamine-induced reduction of activity-regulated cytoskeletal-associated protein (ARC) in mouse hippocampus and associated memory functions16. We chose to use i-Extract rather than purified withanone because whole extracts of W. somnifera are well-tolerated and the field has established activity for the extracts16,39,49,52,53. Possible synergistic or antagonistic effects may exist between withanone and withaferin in the context of KLK8 activity, and these will be tested in future experiments.

Our results suggest that the activity of i-Extract in reversing damage of scopolamine challenge operates on the muscarinic acetylcholine receptor pathway, and that this activity is tied to fundamental neuronal cell growth as mediated by MAP2c and KLK8. Ashwagandha, as i-Extract, may offer a means to ‘jump start’ cell plasticity in disorders that disrupt memory, such as AD. Ashwagandha is not alone in having neurological potential. We have previously noted neurotrophic and neuroprotective properties for the curcuminoids55,56 and for aged garlic extract57.

Results

i-Extract showed remarkable dendrite growth potential in scopolamine-challenged neurons

We analyzed the effect of i-Extract on scopolamine-damaged neurons in both pre- and post- treatment regimes. As anticipated, scopolamine treatment caused drastic loss in average dendrite number (−70%) and length (−48%). Pretreatment with i-Extract markedly attenuated scopolamine-induced reduction, and post-treatment regenerated the lost dendrites. i-Extract alone exhibited neuritogenic potential by increasing dendrites +150% and dendrite length + 195% compared to control (Fig. 1). We determined molecular correlates of dendritogenesis by i-Extract. In-vitro gene silencing confirmed that KLK8 and MAP2 proteins are involved in neuritogenic property of i-Extract. i-Extract did not induce length and arborization of MAP2 positive dendrites upon KLK8 knockdown (Fig. 2).

Figure 1.

Figure 1

i-Extract shows neuroregeneration and neuritogenic potential. (A) Immunocytochemical MAP2 staining of primary hippocampal neurons showing reduced dendrite growth upon treatment with scopolamine (SC) vs. saline control. Notably, i-Extract (i-E) attenuates SC mediated loss in pre- and post treatment conditions. i-Extract also enhances dendrite growth and branching as compared to control. Scale bar represents 50 μm. Charts represent (B) average number of dendrites or (C) dendrite length in each treatment group. Letters represent pairwise differences (p ≤ 0.05) all vs. all (FDR). Samples sharing a letter do not significantly differ.

Figure 2.

Figure 2

MAP2 staining shows dendrite growth enhancement via i-Extract (i-E). (A) Treated neuron photomicrographs with immunocytochemical MAP2 staining. Enhancement of (B) number of dendrites of (C) dendrite length via i-E or mAChR ag are not only eliminated in kallikrein 8 (KLK8) siRNA silenced hippocampal neurons but are lower than controls. Levels are presented relative to saline controls. Letters indicate statistical groups by FDR (p ≤ 0.05).

Muscarinic receptor modulators altered i-Extract induced dendrite growth and expression of molecular markers

We analyzed effects of the muscarinic antagonist dicyclomine and agonist pilocarpine singly and in combination with scopolamine and i-Extract. Muscarinic blockade by dicyclomine caused loss of dendrites, comparable to damage by scopolamine. Pre-treatment with dicyclomine also profoundly inhibited dendritogenesis by i-Extract. On the contrary, muscarinic agonism by pilocarpine augmented dendrite growth and inhibited damage by scopolamine. Interestingly, muscarinic activation-mediated changes in dendrite morphology was almost completely abolished in KLK8 compromised hippocampal neurons (Figs 23)

Figure 3.

Figure 3

MAP2 stained primary hippocampal neurons show effects of KLK8 knockdown for muscarinic agonist (mAChR-Ag) treatment. (A) Knockdown of KLK8 by siRNA drastically reduced dendrite length and arborization and inhibited dendritogenic potential of i-E mAChR-Ag replicated effects of i-E in dendrogenesis and dendrite outgrowth. Column charts represent (B) average number of dendrites or (C) dendrite length in each treatment group. Letters indicate statistical groups by FDR (p ≤ 0.05). Treatments sharing letter (within brain region) do not significantly differ.

i-Extract attenuated scopolamine inhibition of binding of muscarinic radioligand

A significant decrease in the binding of 3H-QNB was observed both in cerebrocortical (55%) and hippocampal (41%) membranes of scopolamine-exposed mice compared to controls (Table 1). Alteration of binding was due to a significant decrease in affinity, as reflected by higher Kd, with no significant change in binding sites (Bmax) in either brain region as revealed by Scatchard analysis (Table 2). Interestingly, administration of i-Extract attenuated scopolamine-induced decrease in the binding of muscarinic receptors both in the cerebral cortex (88%) and hippocampus (34%) (Table 1). No significant effect on binding of cholinergic–muscarinic receptors was observed in either of the brain regions of mice exposed to i-Extract alone as compared to control group.

Table 1.

Effect on 3H-QNB binding to hippocampal and cerebrocortical membranes of mice following exposure to scopolamine, i-Extract or their co-exposure.

Brain Region Control n Scopolaminea (% decrease)a n i-Extract n Scopolamine + i-Extractb (% attenuation) n
Cerebral cortex 557 ± 45 5

250 ± 41*

(55%)

5 506 ± 37 4

470 ± 35*

(88%)

4
Hippocampus 711 ± 40 4

419 ± 62*

(41%)

4 662 ± 35 5

564 ± 29*

(34%)

4

a compared to control group.

b compared to scopolamine exposed group.

*p ≤ 0.05.

Table 2.

Scatchard analysis of 3H-QNB in cerebrocortical and hippocampal membranes of mice following scopolamine and/or i-Extract.

Cerebral Cortex Hippocampus
Control Scopolaminea i-Extract Scopolamine + i-Extractb Control Scopolaminea i-Extract Scopolamine + i-Extractb
K d 0.57 ± 0.07 1.19 ± 0.12 0.68 ± 0.06 0.73 ± 0.08 0.67 ± 0.05 1.31 ± 0.11 0.74 ± 0.08 0.86 ± 0.05
B max 943 ± 58 861 ± 66 901 ± 86 991 ± 81 1133 ± 121 1048 ± 84 1171 ± 98 1110 ± 72

aKd is compared to control group.

bKd is compared to scopolamine exposed group.

p ≤ 0.01.

i-Extract upregulated important protein markers, KLK8 and MAP2 in scopolamine treated mice

i-Extract also altered KLK8 and MAP2 levels in vivo in cerebral cortex and hippocampus of scopolamine (SC)-treated mice. RNA in situ hybridization showed significant reduction of KLK8 mRNA in both cerebral cortex and hippocampus of SC-treated mice. KLK8 depletion was attenuated by i-Extract in both brain regions in pre-treatment and post-treatment regimens. i-Extract per se also markedly elevated endogenous (saline control) KLK8 level (Fig. 4A). Specific percent changes are detailed in Supplementary Table 1. Apparent differences between response in cortex and hippocampus were likewise, significant by two-way ANODE (Supplementary Table 2).

Figure 4.

Figure 4

Cortical and hippocampal levels of dendrite growth markers, KLK8 and MAP2 are reduced in scopolamine treated mice but drastically upregulated by i-E. (A) In situ hybridization analysis of KLK8 mRNA in cerebral cortex and hippocampus. Photomicrographs are captured at 400x magnification and scale bar represents 50μm. Column chart represents IDV/area of KLK8 expression. Letters indicate statistical groups by FDR (p ≤ 0.05). Treatments sharing letter (within brain region) do not significantly differ. Negative-Unlabeled probe. (B) RT-PCR and western blot analyses of KLK8 mRNA and protein respectively and (C) MAP2 protein in cerebral cortex and hippocampus. Column chart represents RDV of KLK8 (IDV of KLK8/GAPDH) and MAP2 (IDV of MAP2c/β-Actin) expression.

Consistent with the in situ data, quantitative reverse transcription polymerase chain reaction (RT-PCR) analysis demonstrated cortical and hippocampal KLK8 mRNA decrease in SC-treated mice. Notably, i-Extract treatment recovered the reduced KLK8 mRNA level in pre- and post-treated groups. Endogenous KLK8 was also up-regulated (2-fold) by i-Extract in both brain regions. KLK8 protein level was reduced in cortex and hippocampus of SC-treated mice. Interestingly, i-Extract increased KLK8 protein level in SC-treated and control mice (Fig. 4B). Specific percent changes are detailed in Supplementary Table 1. The apparently greater extent of response in hippocampus vs. cortex was significant by two-way ANODE (Supplementary Table 2).

MAP2 protein showed similar expression patterns, being reduced in cerebral cortex of the SC-treated mice. i-Extract increased MAP2c level in SC-treated as well as control mice. In hippocampus, the protein level was significantly reduced in SC-treated mice and showed recovery following pre and post-treatment with i-Extract. i-Extract caused increase in hippocampal MAP2c level of control mice (Fig. 4C, Supplementary Table 1). Apparent differences between responses in cortex and hippocampus were significant.

We checked expression of KLK8 and MAP2 after M1 antagonist and agonist treatment combined with scopolamine and i-Extract. M1 antagonist decreased (−61%) and agonist increased (+157%) KLK8 mRNA in cerebral cortex. Pre-treatment with M1 agonist completely inhibited scopolamine-induced decrease in KLK8 mRNA and further increased it by 5-fold as compared to scopolamine. M1 antagonist inhibited KLK8 upregulation by i-Extract. In hippocampus, the effects of both antagonist and agonist were more drastic than in cerebral cortex. Complete comparisons of treatment results are presented in Supplementary Table 3 (Fig. 5A).

Figure 5.

Figure 5

Muscarinic receptors regulate i-Extract mediated increase in KLK8 and MAP2 expression. M1 agonist (mAChR- Ag) inhibited SC mediated decrease and caused up-regulation while antagonist (mAChR- Ant) eliminated i-E mediated increase and caused down-regulation of (A) KLK8 mRNA and (B) KLK8 protein and (C) MAP2c protein in cerebral cortex and hippocampus. Column chart represents RDV (IDV of KLK8/GAPDH; IDV of KLK8/β-actin; IDV of MAP2c/β-Actin). Letters indicate statistical groups by FDR (p ≤ 0.05). Treatments sharing letter (within brain region) do not significantly differ.

KLK8 protein was reduced by M1 antagonist and increased by agonist compared to saline in cerebral cortex. KLK8 protein expression was increased by pre-treatment with agonist compared to scopolamine, but reduced by antagonist, compared to i-Extract. In case of hippocampus, KLK8 protein level was significantly reduced by antagonist and enhanced by agonist. Pre-treatment with agonist increased KLK8 protein expression compared to scopolamine. Treatment with antagonist prior to i-Extract reduced expression of KLK8 protein (Fig. 5B, Supplementary Table 3).

MAP2 was also reduced by M1 antagonist and increased by M1 agonist in cerebral cortex. Both MAP2 decrease by scopolamine and upregulation by i-Extract were inhibited by agonist and antagonist, respectively. In the hippocampus, the effects of both M1 antagonist and agonist were more pronounced than in cerebral cortex. M1 antagonist downregulated MAP2c level, and agonist increased MAP2c level as compared to saline. Moreover, M1 antagonist inhibited the effect of i-Extract, and agonist blocked the effect of scopolamine (Fig. 5C, Supplementary Table 3). Apparent differences of response in hippocampus vs. cortex was significant by two-way ANODE (Supplementary Table 4). Finally, docking analysis of withanone to the M1 receptor amino acid sequence predicted that withanone would bind with high affinity (ΔG = −10.1) to the ILE 78, TRY 85, GLN 177, and CYS 178 of the M1 receptor protein (Fig. 6)

Figure 6.

Figure 6

Docking analysis of withanone to M1 receptor molecule. Docking analysis was done with the AutoDock Tools (http://autodock.scripps.edu/). The structure description for withanone (https://pubchem.ncbi.nlm.nih.gov/compound/21679027) was obtained from PubChem and for the M1 receptor (http://www.rcsb.org/structure/5CXV) from the RCSB protein data bank. These were used to perform a docking analysis. Bonds were predicted (yellow lines) between withanone and four amino acids in the M1 receptor protein molecule.

Discussion

Previous studies demonstrated neuroprotective and neurotrophic potential of ashwagandha extracts in diverse cellular and animal models of neurodegeneration and cognitive decline, particularly those for AD5863. Our own earlier reports highlighted the neuroprotective action of a well-characterized extract of ashwagandha (i-Extract), including induction of multiple cellular and molecular alterations in a scopolamine model of memory loss16,39. We extend our previous work to expose and explain the upstream ‘master switch’ i.e., the prime biological target that drives i-Extract activity in brain. Our work is significant in that it establishes a foundation for formal therapeutic value and clinical application. The present study elucidates key target(s) of i-Extract via cellular, biochemical, and molecular techniques in a relevant animal amnesia model and primary hippocampal cultures. We specifically focused on modulation of neuroarchitecture including rebuilding neuronal networks and neuritogenesis, central processes for brain plasticity and higher order functions of memory and cognition.

As scopolamine is a cholinergic blocker having maximum affinity to muscarinic receptor subtypes, we speculated that i-Extract might operate through the same pathway. Our previous reports showed that pre-treatment of i-Extract was more effective than post-treatment, which strengthened this hypothesis. As we expected, a muscarinic receptor antagonist, dicyclomine, completely abolished the ability of i-Extract to induce neurite growth and expression of marker proteins. On the other hand, the muscarinic agonist pilocarpine simulated nootropic action of i-Extract in recovery of scopolamine insults as well as neurite enhancement. We propose, therefore, that among its potentially many actions, components of i-Extract should be further explored as muscarinic agonists. Of particular note, our cytological and biochemical studies are supplemented with behavioral data; specifically that i-Extract protects mice from the memory-damaging properties of scopolamine, reverses the effects of scopolamine, and improves upon control animal performance in the Morris Water Maze39. Given ashwagandha’s long use in a large population, we speculate that it may be a safer, but effective, alternative to currently available medicinal muscarinic agonists.

Cholinergic neurotransmission via muscarinic receptor downstream signaling is particularly important in neuronal excitability, plasticity and cognitive function64. Dysfunctional muscarinic signaling contributes to the pathophysiology of memory impairment during aging and neurodegenerative disorders such as AD, but the molecular correlates are not fully understood65. Earlier studies reported that cholinergic agonists like carbachol and pilocarpine induced neuronal differentiation and dendritic growth66 and mRNA expression of synaptic plasticity genes such as brain derived neurotrophic factor (BDNF), nerve growth factor (NGF)67 and ARC68 in rat hippocampus. Some recent studies have shown that the cholinergic hypofunction induced by the toxin 192IgG-saporin impaired memory acquisition, possibly through hippocampal ARC and BDNF down-regulation via muscarinic receptors68. Upon acetylcholine binding, muscarinic receptor binds Gαq-proteins to activate phosphatidylinositol hydrolysis, calcium influx and subsequently cascade of kinases that include protein kinase C (PKC) and mitogen activated protein kinase (MAPK), which phosphorylate transcription factors and induce gene expression45. It is noteworthy that diminished phosphorylated-cAMP-responsive element-binding protein (pCREB) activity in the prefrontal cortex is associated with AD69, that Aβ42 plays a role in this loss of function, and that resveratrol reverses this deficit70. Our muscarinic radioligand binding assay corroborates this hypothesis, as we observed increased binding of 3H-QNB to the receptors as compared to scopolamine. However, kinases and transcription factors in i-Extract induced muscarinic signaling need to be investigated.

Muscarinic receptors have distinct subtypes (M1-M5), amongst which, M1 receptor expression is predominant in frontal cortex and hippocampus, and their role in cognition is well documented in animal and human studies71. The muscarinic antagonist dicyclomine that we used is M1 selective, although the agonist pilocarpine has affinity to other receptors as well. Therefore, it is likely that i-Extract has preference for the M1 subtype, and our observations support this conclusion. Our earlier reports agree with the present work: Effect of i-Extract is more pronounced in hippocampus than in cerebral cortex. M1 receptor knockout mice are deficient in hippocampal dependent memory processes72, and the M1 antagonist dicyclomine impaired hippocampal integrity, but the hippocampus independent functions were unaffected73. M1-regulated kinases, particularly PKC, are more abundant in hippocampus than in cerebral cortex74,75. Therefore, we conclude that i-Extract induction of M1 signaling would be stronger in hippocampus. An M1 specific ligand binding assay would confirm this.

The M1 receptor turns out to be a key biological target of i-Extract, according to a model that uses both scopolamine and an M1-specific antagonist. Our work, herein, demonstrates that i-Extract stimulates muscarinic receptors, reverses scopolamine blockade of these receptors and that of specific antagonists such as dicyclomine. It further protects against scopolamine. Administration of i-Extract further increases expression of neurite growth proteins such as KLK8 and MAP2c, which then could facilitate healthy dendrite morphology. We propose a simple, explicit model based on KLK8 activity (Fig. 7). Under normal conditions, acetylcholine binds M1 receptors, stimulating KLK8 production, which cleaves L1 cell adhesion molecule (L1CAM). Activated L1CAM stimulates MAP2c, which leads to normal dendritic growth and memory (Fig. 7B). Under neurodegenerative conditions (such as scopolamine inhibition at the M1 receptor), KLK8 levels are not stimulated. This leads to reduced cleavage of L1CAM to its active state. L1CAM levels are correlated to production of MAP2c20,76, specifically over other MAP2 moieties. Insufficient MAP2c leads to impaired dendritic growth, memory impairment, and neurodegeneration (Fig. 7B). However, in the presence of i-Extract, KLK8 levels are enhanced, both in comparison to scopolamine reduction and compared to unstimulated cultures and tissues, resulting in greater cleavage of L1CAM, producing more MAP2c, and ending in enhanced/restored dendritic growth and neuroprotection (Fig. 7C). It is noteworthy that we showed more than mere reversal and blockade of scopolamine effects. Instead, stimulation by i-Extract brought about activity that exceeded control samples, indicating that i-Extract is both neuroprotective and neurotophic.

Figure 7.

Figure 7

Proposed pathway for muscarinic targeting by i-Extract and promotion of dendrite growth. (A) Normal acetylcholine stimulation of dendritic outgrowth and memory. Acetylcholine (Ach) binds to M1 receptors in a stimulatory fashion. Downstream signaling upregulates KLK8 production. KLK8 cleaves L1CAM. Mature L1CAM drives preferential expression of MAP2c, which stimulates dendritic growth and normal memory. (B) Scopolamine disruption. Scopolamine inhibition of M1 receptor signaling disrupts dendritic health and memory through inhibition of KLK8 production. (C) i-Extract neuroprotection. i-Extract can exclude scopolamine, but beyond this, it stimulates activity of the M1 receptor in some fashion, either through acting agonistically on Ach binding or a more direct mechanism of i-E components. This stimulation then associates with increased expression of synaptic proteins like KLK8. KLK8 cleaves L1CAM, which enhances specific production of MAP2c, thus enhancing dendrite growth.

We showed herein that i-Extract could regenerate scopolamine damaged neurites and enhance existing neuronal networks by upregulating the neurite growth markers KLK8 and MAP2. We also recently demonstrated that KLK8 inhibition alters processing of L1CAM and induces deficiency in dendrite arborization of mouse primary brain cell cultures77. This appears to be in stark contradiction to reports of greater than 11-fold elevation of KLK8 mRNA in AD patients19. KLK8 was elevated in brains of female transgenic (CRND8) mice, vs. males, although both males and females develop AD-like symptoms and in brains of both AD and non-AD women78. Finally, inhibiting KLK8 in mouse models improved both pathology and cognitive function in transgenic mice79. Interestingly enough, two substrates of KLK8 (ephrin receptor B2 and FKBP prolyl isomerase 5) were significantly elevated in early AD stages in the same study, although their levels diminished as KLK8’s increased. Oddly enough, KLK levels were elevated in the transgenic mice but diminished as the mice progressed through the transgenic AD-like pathology. Thus, while KLK8 blockade may ameliorate symptoms in a mouse model, that model did not have a KLK8 expression profile typical of human AD progression. We cannot consign KLK8 to the “bad molecule bin”. For example, KLK8 deficiency impairs gamma oscillations in the hippocampus, which impairs memory80,81. We propose that KLK8 may need to exist in a “Goldilocks zone”, between deficiency and excess, and that some amnestic conditions are conditions of deficiency. It is not excessively novel to propose that specific molecules may have effects of both deficiency and excess, such has been proposed for fatty acid metabolism82 and oncology treatments83.

In short, more explicit study of the staging of KLK8 levels vs. AD needs to be investigated. Under the current paradigm, even “early” AD is a “late” stage of a long-prodromal condition. Elevation of KLK8 in the AD brain may reflect an attempt to repair AD-related damage already done. Unfortunately, proxy tissues for brain are not convenient. Exploring CSF KLK8 levels in middle-aged and aging subjects who are cognitively normal, suffering from subjective memory complaint, from MCI, and from AD (early and late-onset type) may help elucidate KLK8’s broader role, much as CSF studies have been valuable in understanding ratios of phosophorylated τ to total τ, and Aβ42/Aβ40 ratios in AD. To do so would also require measuring levels of KLK8 substrates and processing enzymes, to provide further context.

Most on-the-market treatment approaches for AD attempt to reduce deficiencies in cholinergic transmission via cholinesterase inhibitors. The M1 muscarinic receptor is also under investigation as an AD drug target84. In this regard, our work provides a mechanistic insight towards therapeutic application of M1 stimulants, such as i-Extract, in neurodegeneration and other cognitive disorders, though detailed pathway analysis is still necessary.

In a broader context, memory loss is one of the most tragic symptoms of AD. A person essentially disappears slowly before their loved ones. Treatments of causation are, certainly, to be sought after, but the field has been moving to a consensus that any cause-based treatments for AD would have to be administered at earlier and earlier points2,8587. Eventually, a logical progression might indicate that ‘at risk’ individuals, with no actual symptoms, could be shackled to potentially expensive pharmaceuticals, with unknown long-term side effects. Medicine would have regressed to a state of ‘ritual administration’ of treatments, never daring to take someone off, due to the fear that the person might develop a disease such as AD at a later stage in life.

Some preventative suggestions do not go to such excess, particularly those that emphasize improvements in diet8891 or exercise9295. Others have investigated potential benefits of dietary supplementation9699. Use of traditional ‘medicinal’ herbs such as ashwagandha would fall into the last category. However, all of these methods require people who might or might not see themselves as at risk for dementia, several decades down the road, to exercise restraint and foresight that are praiseworthy but are also, unfortunately, all too rare. It may be practical to combine palliative and supportive medication with treatment of cause. That is, one would see new-generation drugs, such as inhibitors of the enzymes that produce Aβ peptide from its precursor, not as replacements for symptomatic relief, but as partners to symptomatic relief. That is, supportive care would prevent further deterioration of an AD patient, while the enzymatic inhibitors would facilitate the slower process of ‘cleanup’ of unwanted aggregates and subsequent neuroregeneration and rearboraization (perhaps also pharmaceutically assisted). If these supportive substances were not merely neuroprotective but also neurotrophic, the combination would have a ‘best chances’ outcome of not only permanently halting disease but potentially reversing it. Our studies suggest that ashwagandha may offer such a unique possibility.

Methods

Animals

Male Swiss albino strain mice (8 ± 1 weeks) from an inbred colony were used for the study. Females were excluded to prevent estrous cycle effects, which would have required synchronization. Animal handling and experiments were conducted in accordance with the guidelines of the Institutional Animal Ethical Committee and the Central Animal Ethical Committee, Banaras Hindu University (BHU), Varanasi, India. All experimental protocols involving Swiss albino strain mice were approved by the institutional animal ethical committee of faculty of science of BHU, Varanasi.

Primary culture of mouse hippocampal neurons

Hippocampal neurons were prepared from 0-day old neonatal mice. Briefly, pups were decapitated; hippocampi dissected out, minced, trypsin digested (0.25% trypsin, Invitrogen), and single cell suspension prepared by vigorous trituration. The pellet was resuspended in complete neurobasal medium containing 2% B27 supplement and 2 mM GlutaMax (Invitrogen). Cells were seeded at a density of 2.5 × 105 cells/ml of complete medium in poly-l lysine coated culture plates and kept at 37 °C and 5% CO2 in a humidified CO2 incubator.

KLK8 knockdown

Primary hippocampal neurons were transfected with KLK8 specific siRNA (Ambionsi1138455; 50 nM) using Lipofectamine® RNAiMAX transfection reagent according to the manufacturer’s protocol. After 48 h of transfection, cells were harvested for western blotting and immunocytochemistry experiments.

Drugs and treatments

Desiccated alcoholic extract of ashwagandha (Withania somnifera) leaves (i-Extract16) was dissolved in 0.5% dimethyl sulfoxide (DMSO) (vehicle) and orally administered at 200 mg/kg BW to mice. All other treatments were administered by i.p. injection. However, all mice received the same overall handling. Animals not administered i-Extract were given 0.5% DMSO orally by gavage, and animals not administered injection drugs were nevertheless injected with the same volume of 0.9% saline. In-vivo- Scopolamine hydrobromide (Sigma-Aldrich, USA) dissolved in 0.9% saline (vehicle) was administered to mice (3 mg/kg BW) and equal volume of saline to control animals. The M1 receptor antagonist dicyclomine hydrochloride (10 mg/kg BW) and agonist pilocarpine hydrochloride (50 mg/kg BW) were dissolved in 0.9% saline and injected alone or 2 h prior to i-Extract and scopolamine, respectively. Drugs were administered for 7 days, mice were sacrificed and brain regions (cerebral cortex and hippocampus) were dissected out for the cellular, molecular and biochemical assays. Animals dosed with both i-Extract and scopolamine were dosed with a one-hour interval between different drugs. Specific dose regiments are summarized in Supplementary tables 5 and 6. For all experiments, the brain regions of three animals were pooled to produce three pools, due to hippocampus size.

Tissue cultures

Respective tissue-derived cell cultures (60–70% confluent) grown for 5 days were treated with respective drugs. Scopolamine (3 mM) and i-Extract (1 µg/ml) were added to the cells for 3 h and 24 h, respectively, and then culture medium was replaced with the fresh medium. Dicyclomine (3 mM) and pilocarpine (1 mM) were added to the cells for 2 h. For KLK8 knockdown experiments, 3 days grown cells were transfected with KLK8 siRNA and post 48 h treated with i-Extract for another 24 h or pilocarpine for 2 h.

RT-PCR

RNA isolated from cerebral cortex and hippocampus of different experimental groups was first reverse transcribed into cDNA using reverse transcriptase. The cDNA was used as a template for subsequent semi-quantitative PCR amplification using specific primers for KLK820 and GAPDH.

Western blotting

Cerebral cortical and hippocampal lysates (40 μg) were used for western blotting using conventional methods. The primary antibodies (anti- KLK8 M-51 sc-29234 goat polyclonal antibody, Santa Cruz biotechnology; anti-MAP2 M9942 mouse monoclonal antibody, Sigma; anti-GAPDH, sc-137179, mouse monoclonal antibody Santa Cruz biotechnology; β-actin A3854 mouse monoclonal antibody, Sigma) and secondary antibodies were used at adequate dilutions (goat-anti-rabbit IgG HRP, 1:2000 for KLK8 and goat anti mouse 1:3000 for MAP2 and goat-anti-mouse IgG HRP, 1:2000 for GAPDH). While our MAP2 antibodies detect all major isoforms of the protein, we distinguished the MAP2c band by molecular weight (70 kDa for MAP2c vs. 280 kDa for MAP2a and MAP2b).

Immunocytochemical analysis of dendrite growth

Cells grown on glass coverslips were washed with 1x phosphate buffered saline (PBS); and fixed with pre-chilled methanol: acetone (1:1 v/v) for 5–10 min at room temperature. Fixed cells were permeabilized with 0.32% Triton X-100 in PBS for 15 min, and blocked with 5% goat serum in 1xPBS for 1 h. Cells were incubated with mouse monoclonal anti-MAP2 antibody (Sigma) at 4 °C for 24 h, washed thrice with 0.1% Triton X-100 in 1xPBS (PBST) for 5 min each and incubated with fluorescein isothiocyanate (FITC) conjugated goat anti mouse secondary antibody (Sigma). After three washings with PBST for 5 min each, coverslips were mounted on glass slides using 4′,6-diamidino-2-phenylindole (DAPI) mounting medium. Cells were visualized by Leica inverted fluorescence microscope (Leica DFC 450C).

Muscarinic receptor radioligand binding assay

Muscarinic receptor radioligand binding assay was carried out in mouse cerebral cortex and hippocampus. Crude synaptic membrane fraction was prepared by homogenizing the tissues in Tris–HCl buffer (5 mM, pH 7.4) and centrifuged (40,000 × g) for 15 min at 4 °C. The pellet was suspended in homogenization buffer (5 mM Tris–HCl, pH 7.4) and again centrifuged (40,000 × g) for 15 min at 4 °C. The pellet obtained was finally suspended in Tris–HCl buffer (40 mM, pH 7.4) and stored at −20 °C. For the binding assay, membrane protein fractions were incubated with 3H-quinuclidinyl benzilate (3H-QNB, 1 × 10−9 M), for 15 min at 37 °C. A set of tubes containing atropine sulfate (1 × 10−6 M), a competitor, was also run simultaneously to assess nonspecific binding. Soon after incubation, the contents of the binding tubes were rapidly filtered on glass fiber discs (25-mm diameter, 1.0-μm pore size; Whatman GF/B). The filter discs were washed twice rapidly with cold Tris–HCl buffer (40 mM) to remove unbound radioligand. They were then dried and counted in 5 ml of scintillation mixture (PPO, POPOP, naphthalene, toluene and methanol) with a β-scintillation counter at an efficiency of 30–40% for 3H. Specific binding was calculated by subtracting the nonspecific binding (in the presence of atropine sulfate) from the total binding and expressed as picomoles of ligand bound per gram protein. Scatchard analysis was carried out using different concentrations of 3H-QNB to determine whether change in the binding is due to alteration in the affinity (Kd) or number of receptor binding sites (Bmax).

Data capture and analysis

For in vivo studies, each experiment was repeated three times (n = 9 mice/group) and tissue samples pooled in three-mouse groups before assays. For in vitro studies, treatments were performed in three independent culture dishes, and the experiment was repeated three times. To collect densitometric data, signal intensity was measured by spot densitometry tool of AlphaEaseFC software (Alpha Innotech Corp, USA). For qRT-PCR and western blotting, the signal intensity (Integrated Density Value, IDV) of KLK8 and MAP2 bands was normalized against signal intensity of glyceraldehyde 3-phosphate dehydrogenase (GAPDH) internal control and plotted as relative density value (RDV). For in situ hybridization, signal intensities (IDV/Area) of greyscale images captured by Leica DM 2000 microscope were measured using AlphaEaseFC software and plotted as IDV/area after deduction of negative control and background values

Dendrite growth was analyzed by measuring average length and number of dendrites using Leica LASV4.2 software. Microscopic images from preselected fields (center and upper left corner) were captured, and length and number of dendrites were quantified and expressed as total length and total number of dendrites per treatment group. Average length and number of dendrites was obtained by dividing total length or total dendrites by number of cells within a given field.’

For all above data, initial analysis was by mixed-level generalized linear model to obtain omnibus significance for variables via analysis of deviance (ANODE). For cell culture experiments, technical replication was handled by treating ‘tissue culture plate well’ and ‘experiment’ as random slopes. For mouse experiments, technical replication was handled by treating ‘pool’ as a random slope. We used estimated marginal means (emmeans, Benjamini & Hochberg false discovery rate/FDR adjusted) for pairwise comparisons p values < 0.05 were considered significant. All statistics were done with R statistical environment100102.

Docking analysis was done with the AutoDock Tools (http://autodock.scripps.edu/). The structure description for withanone (https://pubchem.ncbi.nlm.nih.gov/compound/21679027) was obtained from PubChem and for the M1 receptor (http://www.rcsb.org/structure/5CXV) from the RCSB protein data bank.

Ethics approval

Animal handling and experiments were conducted in accordance with the guidelines of the Institutional Animal Ethical Committee (IAEC), Faculty of Science, Banaras Hindu University Committee for the Purpose of Control And Supervision of Experiments on Animals (CPCSEA), Ministry of Environment, Forest and Climate Change, Govt of India. All experimental protocols involving Swiss albino strain mice were approved by the institutional animal ethical committee of faculty of science of BHU, Varanasi.

Supplementary information

41598_2019_48238_MOESM1_ESM.pdf (522.4KB, pdf)

Supplemental Material-Tables and Figures

Acknowledgements

A.K., R.G., R.K.S., V.K.K., R.W. and M.K.T. are supported by grants from the Department of Science and Technology and Department of Biotechnology, Government of India. A.K. is further supported by the DST-INSPIRE-faculty program, Government of India. D.K.L. is supported by grants from the National Institute on Aging (US NIH) (R01AG051086, P30AG010133, R41AG053117-01), Indiana Alzheimer Disease Center (IADC), Indiana Clinical and Translational Sciences Institute (ICTSI).

Author Contributions

A.K. planned the work and conducted most of the experiments. R.G. conducted receptor binding assay experiment. R.K.S. conducted receptor binding assay experiment. B.M. checked data analysis, figure construction, and references. V.K.K. reviewed data and manuscript writing. D.K.L. contributed to mechanistic insights, writing, and editing the manuscript, as well as final submission (corresponding). R.W. prepared and characterized ashwagandha i-Extract: Manuscript writing (corresponding). M.K.T. planned, contributed reagents, manuscript writing (corresponding).

Competing Interests

D.K.L. is a member of the advisory boards for Entia Biosciences, Drug Discovery and Therapy World Congress, and Provaidya L.L.C. He also has stock options from Q.R. Pharma for patents or patents pending on AIT-082, Memantine, Acamprosate, and GILZ analogues. D.K.L. also had prior funding from Baxter and Forest Research Labs. The authors declare no other actual or potential competing interests in the subject matter of this paper.

Footnotes

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Renu Wadhwa, Email: renu-wadhwa@aist.go.jp.

Debomoy K. Lahiri, Email: dlahiri@iupui.edu

Mahendra K. Thakur, Email: mkt_bhu@yahoo.com

Supplementary information

Supplementary information accompanies this paper at 10.1038/s41598-019-48238-6.

References

  • 1.Alzheimer’s Association 2018 Alzheimer’s disease facts and figures. Alzheimers Dement. 2018;14:367–429. doi: 10.1016/j.jalz.2018.02.001. [DOI] [Google Scholar]
  • 2.Maloney B, Lahiri DK. Epigenetics of dementia: understanding the disease as a transformation rather than a state. Lancet Neurol. 2016;15:760–774. doi: 10.1016/s1474-4422(16)00065-x. [DOI] [PubMed] [Google Scholar]
  • 3.Selkoe DJ, Hardy J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol. Med. 2016;8:595–608. doi: 10.15252/emmm.201606210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jack CR, et al. Update on hypothetical model of Alzheimer’s disease biomarkers. Lancet Neurol. 2013;12:207–216. doi: 10.1016/S1474-4422(12)70291-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bloom GS. Amyloid-beta and tau: the trigger and bullet in Alzheimer disease pathogenesis. JAMA Neurol. 2014;71:505–508. doi: 10.1001/jamaneurol.2013.5847. [DOI] [PubMed] [Google Scholar]
  • 6.Knobloch M, Mansuy IM. Dendritic spine loss and synaptic alterations in Alzheimer’s disease. Mol. Neurobiol. 2008;37:73–82. doi: 10.1007/s12035-008-8018-z. [DOI] [PubMed] [Google Scholar]
  • 7.Stamer K, Vogel R, Thies E, Mandelkow E, Mandelkow EM. Tau blocks traffic of organelles, neurofilaments, and APP vesicles in neurons and enhances oxidative stress. J. Cell Biol. 2002;156:1051–1063. doi: 10.1083/jcb.200108057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Clarris HJ, Key B, Beyreuther K, Masters CL, Small DH. Expression of the amyloid protein precursor of Alzheimer’s disease in the developing rat olfactory system. Brain Res. Dev. Brain Res. 1995;88:87–95. doi: 10.1016/0165-3806(95)00083-P. [DOI] [PubMed] [Google Scholar]
  • 9.Wakefield SJ, McGeown WJ, Shanks MF, Venneri A. Differentiating normal from pathological brain ageing using standard neuropsychological tests. Curr Alzheimer Res. 2014;11:765–772. doi: 10.2174/156720501108140910121631. [DOI] [PubMed] [Google Scholar]
  • 10.Sun Yu, Yang Fu-Chi, Lin Ching-Po, Han Ying. Biochemical and Neuroimaging Studies in Subjective Cognitive Decline: Progress and Perspectives. CNS Neuroscience & Therapeutics. 2015;21(10):768–775. doi: 10.1111/cns.12395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sasaguri Hiroki, Nilsson Per, Hashimoto Shoko, Nagata Kenichi, Saito Takashi, De Strooper Bart, Hardy John, Vassar Robert, Winblad Bengt, Saido Takaomi C. APP mouse models for Alzheimer's disease preclinical studies. The EMBO Journal. 2017;36(17):2473–2487. doi: 10.15252/embj.201797397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kuhla A, et al. APPswe/PS1dE9 mice with cortical amyloid pathology show a reduced NAA/Cr ratio without apparent brain atrophy: A MRS and MRI study. NeuroImage. Clinical. 2017;15:581–586. doi: 10.1016/j.nicl.2017.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Haider S, Tabassum S, Perveen T. Scopolamine-induced greater alterations in neurochemical profile and increased oxidative stress demonstrated a better model of dementia: A comparative study. Brain Res. Bull. 2016;127:234–247. doi: 10.1016/j.brainresbull.2016.10.002. [DOI] [PubMed] [Google Scholar]
  • 14.Klinkenberg I, Blokland A. The validity of scopolamine as a pharmacological model for cognitive impairment: a review of animal behavioral studies. Neurosci. Biobehav. Rev. 2010;34:1307–1350. doi: 10.1016/j.neubiorev.2010.04.001. [DOI] [PubMed] [Google Scholar]
  • 15.Wadhwa R, Konar A, Kaul SC. Nootropic potential of Ashwagandha leaves: Beyond traditional root extracts. Neurochem. Int. 2016;95:109–118. doi: 10.1016/j.neuint.2015.09.001. [DOI] [PubMed] [Google Scholar]
  • 16.Konar A, et al. Protective role of Ashwagandha leaf extract and its component withanone on scopolamine-induced changes in the brain and brain-derived cells. PLoS One. 2011;6:e27265. doi: 10.1371/journal.pone.0027265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kweon JH, Kim S, Lee SB. The cellular basis of dendrite pathology in neurodegenerative diseases. BMB reports. 2017;50:5–11. doi: 10.5483/BMBRep.2017.50.1.131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Herms J, Dorostkar MM. Dendritic Spine Pathology in Neurodegenerative Diseases. Annu. Rev. Pathol. 2016;11:221–250. doi: 10.1146/annurev-pathol-012615-044216. [DOI] [PubMed] [Google Scholar]
  • 19.Shimizu-Okabe C, et al. Expression of the kallikrein gene family in normal and Alzheimer’s disease brain. Neuroreport. 2001;12:2747–2751. doi: 10.1097/00001756-200108280-00031. [DOI] [PubMed] [Google Scholar]
  • 20.Konar A, Thakur MK. Neuropsin Expression Correlates with Dendritic Marker MAP2c Level in Different Brain Regions of Aging Mice. Mol. Neurobiol. 2015;51:1130–1138. doi: 10.1007/s12035-014-8780-z. [DOI] [PubMed] [Google Scholar]
  • 21.Belanger D, et al. The projection domain of MAP2b regulates microtubule protrusion and process formation in Sf9 cells. J. Cell Sci. 2002;115:1523–1539. doi: 10.1242/jcs.115.7.1523. [DOI] [PubMed] [Google Scholar]
  • 22.Shah Kavita, Lahiri Debomoy K. A Tale of the Good and Bad: Remodeling of the Microtubule Network in the Brain by Cdk5. Molecular Neurobiology. 2016;54(3):2255–2268. doi: 10.1007/s12035-016-9792-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mitra G, Gupta S, Poddar A, Bhattacharyya B. MAP2c prevents arachidonic acid-induced fibril formation of tau: Role of chaperone activity and phosphorylation. Biophys. Chem. 2015;205:16–23. doi: 10.1016/j.bpc.2015.06.003. [DOI] [PubMed] [Google Scholar]
  • 24.Xie C, et al. Identification of key amino acids responsible for the distinct aggregation properties of microtubule-associated protein 2 and tau. J. Neurochem. 2015;135:19–26. doi: 10.1111/jnc.13228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rasmussen KL, Tybjaerg-Hansen A, Nordestgaard BG, Frikke-Schmidt R. Plasma levels of apolipoprotein E and risk of dementia in the general population. Ann. Neurol. 2015;77:301–311. doi: 10.1002/ana.24326. [DOI] [PubMed] [Google Scholar]
  • 26.Jefferson AL, Beiser AS, Seshadri S, Wolf PA, Au R. APOE and mild cognitive impairment: the Framingham Heart Study. Age Ageing. 2015;44:307–311. doi: 10.1093/ageing/afu183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Apostolova LG, et al. Brain amyloidosis ascertainment from cognitive, imaging, and peripheral blood protein measures. Neurology. 2015;84:729–737. doi: 10.1212/WNL.0000000000001231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Farlow MR, et al. Treatment outcome of tacrine therapy depends on apolipoprotein genotype and gender of the subjects with Alzheimer’s disease. Neurology. 1998;50:669–677. doi: 10.1212/WNL.50.3.669. [DOI] [PubMed] [Google Scholar]
  • 29.Poirier J, et al. Apolipoprotein E4 allele as a predictor of cholinergic deficits and treatment outcome in Alzheimer disease. Proc. Natl. Acad. Sci. USA. 1995;92:12260–12264. doi: 10.1073/pnas.92.26.12260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Huang DY, et al. Isoform-specific interactions of apolipoprotein E with the microtubule-associated protein MAP2c: implications for Alzheimer's disease. Neurosci. Lett. 1994;182:55–58. doi: 10.1016/0304-3940(94)90204-6. [DOI] [PubMed] [Google Scholar]
  • 31.Li B, et al. Failure of neuronal maturation in Alzheimer disease dentate gyrus. J. Neuropathol. Exp. Neurol. 2008;67:78–84. doi: 10.1097/nen.0b013e318160c5db. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shiosaka S, Ishikawa Y. Neuropsin–a possible modulator of synaptic plasticity. J. Chem. Neuroanat. 2011;42:24–29. doi: 10.1016/j.jchemneu.2011.05.014. [DOI] [PubMed] [Google Scholar]
  • 33.Sunitha J, et al. Antimicrobial Effect of Leaves of Phyllanthus niruri and Solanum nigrum on Caries Causing Bacteria: An In vitro Study. Journal of clinical and diagnostic research: JCDR. 2017;11:Kc01–kc04. doi: 10.7860/jcdr/2017/23602.10066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bansal P, Malik MA, Das SN, Kaur J. Tinospora Cordifolia Induces Cell Cycle Arrest in Human Oral Squamous Cell Carcinoma Cells. The Gulf journal of oncology. 2017;1:10–14. [PubMed] [Google Scholar]
  • 35.Kuboyama T, Tohda C, Komatsu K. Neuritic regeneration and synaptic reconstruction induced by withanolide A. Br. J. Pharmacol. 2005;144:961–971. doi: 10.1038/sj.bjp.0706122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Singh RH, Narsimhamurthy K, Singh G. Neuronutrient impact of Ayurvedic Rasayana therapy in brain aging. Biogerontology. 2008;9:369–374. doi: 10.1007/s10522-008-9185-z. [DOI] [PubMed] [Google Scholar]
  • 37.Kulkarni SK, Dhir A. Withania somnifera: an Indian ginseng. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2008;32:1093–1105. doi: 10.1016/j.pnpbp.2007.09.011. [DOI] [PubMed] [Google Scholar]
  • 38.RajaSankar S, et al. Withania somnifera root extract improves catecholamines and physiological abnormalities seen in a Parkinson’s disease model mouse. J. Ethnopharmacol. 2009;125:369–373. doi: 10.1016/j.jep.2009.08.003. [DOI] [PubMed] [Google Scholar]
  • 39.Gautam A, Wadhwa R, Thakur MK. Involvement of hippocampal Arc in amnesia and its recovery by alcoholic extract of Ashwagandha leaves. Neurobiol. Learn. Mem. 2013;106:177–184. doi: 10.1016/j.nlm.2013.08.009. [DOI] [PubMed] [Google Scholar]
  • 40.Shinoe T, Matsui M, Taketo MM, Manabe T. Modulation of synaptic plasticity by physiological activation of M1 muscarinic acetylcholine receptors in the mouse hippocampus. J. Neurosci. 2005;25:11194–11200. doi: 10.1523/jneurosci.2338-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Cobb SR, Davies CH. Cholinergic modulation of hippocampal cells and circuits. J. Physiol. 2005;562:81–88. doi: 10.1113/jphysiol.2004.076539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Cox CD, et al. Dicyclomine, an M1 muscarinic antagonist, reduces biomarker levels, but not neuronal degeneration, in fluid percussion brain injury. J. Neurotrauma. 2008;25:1355–1365. doi: 10.1089/neu.2008.0671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Esmaeili B, Basseda Z, Dehpour AR. Antagonism of muscarinic M1 receptors by dicyclomine inhibits the consolidation of morphine-associated contextual memory. Brain Res. Bull. 2008;76:380–387. doi: 10.1016/j.brainresbull.2008.02.003. [DOI] [PubMed] [Google Scholar]
  • 44.Tan PP, et al. Activation of muscarinic receptors protects against retinal neurons damage and optic nerve degeneration in vitro and in vivo models. CNS Neurosci. Ther. 2014;20:227–236. doi: 10.1111/cns.12187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Teber I, Kohling R, Speckmann EJ, Barnekow A, Kremerskothen J. Muscarinic acetylcholine receptor stimulation induces expression of the activity-regulated cytoskeleton-associated gene (ARC) Brain Res. Mol. Brain Res. 2004;121:131–136. doi: 10.1016/j.molbrainres.2003.11.017. [DOI] [PubMed] [Google Scholar]
  • 46.Ma S, Story ME, Pennefather JN. Muscarinic receptors mediating contraction of female mouse urinary bladder: effects of oestrogen. Eur. J. Pharmacol. 2004;487:205–211. doi: 10.1016/j.ejphar.2004.01.022. [DOI] [PubMed] [Google Scholar]
  • 47.Lee KS, et al. Assessment of novel muscarinic acetylcholine receptors in rat cerebral cortex by a tissue segment binding method. J. Pharmacol. Sci. 2010;112:444–451. doi: 10.1254/jphs.10016FP. [DOI] [PubMed] [Google Scholar]
  • 48.Gupta M, Kaur G. Aqueous extract from the Withania somnifera leaves as a potential anti-neuroinflammatory agent: a mechanistic study. J. Neuroinflammation. 2016;13:193. doi: 10.1186/s12974-016-0650-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Widodo N, et al. Deceleration of senescence in normal human fibroblasts by withanone extracted from ashwagandha leaves. J. Gerontol. A Biol. Sci. Med. Sci. 2009;64:1031–1038. doi: 10.1093/gerona/glp088. [DOI] [PubMed] [Google Scholar]
  • 50.Pandey A, et al. Multifunctional neuroprotective effect of Withanone, a compound from Withania somnifera roots in alleviating cognitive dysfunction. Cytokine. 2018;102:211–221. doi: 10.1016/j.cyto.2017.10.019. [DOI] [PubMed] [Google Scholar]
  • 51.Wadegaonkar VP, Wadegaonkar PA. Withanone as an inhibitor of survivin: a potential drug candidate for cancer therapy. J. Biotechnol. 2013;168:229–233. doi: 10.1016/j.jbiotec.2013.08.028. [DOI] [PubMed] [Google Scholar]
  • 52.Gao R, et al. Withanone-rich combination of Ashwagandha withanolides restricts metastasis and angiogenesis through hnRNP-K. Mol. Cancer Ther. 2014;13:2930–2940. doi: 10.1158/1535-7163.mct-14-0324. [DOI] [PubMed] [Google Scholar]
  • 53.Widodo N, et al. Selective killing of cancer cells by leaf extract of Ashwagandha: identification of a tumor-inhibitory factor and the first molecular insights to its effect. Clin. Cancer Res. 2007;13:2298–2306. doi: 10.1158/1078-0432.ccr-06-0948. [DOI] [PubMed] [Google Scholar]
  • 54.Dar NJ, et al. Withanone, an Active Constituent from Withania somnifera, Affords Protection Against NMDA-Induced Excitotoxicity in Neuron-Like Cells. Mol. Neurobiol. 2017;54:5061–5073. doi: 10.1007/s12035-016-0044-7. [DOI] [PubMed] [Google Scholar]
  • 55.Ray B, Bisht S, Maitra A, Maitra A, Lahiri DK. Neuroprotective and neurorescue effects of a novel polymeric nanoparticle formulation of curcumin (NanoCurc) in the neuronal cell culture and animal model: implications for Alzheimer’s disease. J. Alzheimers Dis. 2011;23:61–77. doi: 10.3233/jad-2010-101374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Bandyopadhyay S, Huang X, Lahiri DK, Rogers JT. Novel drug targets based on metallobiology of Alzheimer’s disease. Expert Opin. Ther. Targets. 2010;14:1177–1197. doi: 10.1517/14728222.2010.525352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Ray B, Chauhan NB, Lahiri DK. Oxidative insults to neurons and synapse are prevented by aged garlic extract and S-allyl-L-cysteine treatment in the neuronal culture and APP-Tg mouse model. J. Neurochem. 2011;117:388–402. doi: 10.1111/j.1471-4159.2010.07145.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Sehgal N, et al. Withania somnifera reverses Alzheimer’s disease pathology by enhancing low-density lipoprotein receptor-related protein in liver. Proc. Natl. Acad. Sci. USA. 2012;109:3510–3515. doi: 10.1073/pnas.1112209109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Soman S, Korah PK, Jayanarayanan S, Mathew J, Paulose CS. Oxidative stress induced NMDA receptor alteration leads to spatial memory deficits in temporal lobe epilepsy: ameliorative effects of Withania somnifera and Withanolide A. Neurochem. Res. 2012;37:1915–1927. doi: 10.1007/s11064-012-0810-5. [DOI] [PubMed] [Google Scholar]
  • 60.Kurapati KR, Atluri VS, Samikkannu T, Nair MP. Ashwagandha (Withania somnifera) reverses beta-amyloid1-42 induced toxicity in human neuronal cells: implications in HIV-associated neurocognitive disorders (HAND) PLoS One. 2013;8:e77624. doi: 10.1371/journal.pone.0077624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Baitharu I, et al. Withania somnifera root extract ameliorates hypobaric hypoxia induced memory impairment in rats. J. Ethnopharmacol. 2013;145:431–441. doi: 10.1016/j.jep.2012.10.063. [DOI] [PubMed] [Google Scholar]
  • 62.Bhattarai JP, Park SJ, Han SK. Potentiation of NMDA receptors by Withania somnifera on hippocampal CA1 pyramidal neurons. Am. J. Chin. Med. 2013;41:503–513. doi: 10.1142/s0192415x13500365. [DOI] [PubMed] [Google Scholar]
  • 63.Kuboyama T, Tohda C, Komatsu K. Effects of Ashwagandha (roots of Withania somnifera) on neurodegenerative diseases. Biol. Pharm. Bull. 2014;37:892–897. doi: 10.1248/bpb.b14-00022. [DOI] [PubMed] [Google Scholar]
  • 64.Thiele A. Muscarinic signaling in the brain. Annu. Rev. Neurosci. 2013;36:271–294. doi: 10.1146/annurev-neuro-062012-170433. [DOI] [PubMed] [Google Scholar]
  • 65.Caccamo A, et al. M1 receptors play a central role in modulating AD-like pathology in transgenic mice. Neuron. 2006;49:671–682. doi: 10.1016/j.neuron.2006.01.020. [DOI] [PubMed] [Google Scholar]
  • 66.VanDemark KL, Guizzetti M, Giordano G, Costa LG. Ethanol inhibits muscarinic receptor-induced axonal growth in rat hippocampal neurons. Alcohol. Clin. Exp. Res. 2009;33:1945–1955. doi: 10.1111/j.1530-0277.2009.01032.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Kotani S, Yamauchi T, Teramoto T, Ogura H. Pharmacological evidence of cholinergic involvement in adult hippocampal neurogenesis in rats. Neuroscience. 2006;142:505–514. doi: 10.1016/j.neuroscience.2006.06.035. [DOI] [PubMed] [Google Scholar]
  • 68.von der Kammer H, et al. Muscarinic acetylcholine receptors activate expression of the EGR gene family of transcription factors. J. Biol. Chem. 1998;273:14538–14544. doi: 10.1074/jbc.273.23.14538. [DOI] [PubMed] [Google Scholar]
  • 69.Bartolotti N, Bennett DA, Lazarov O. Reduced pCREB in Alzheimer’s disease prefrontal cortex is reflected in peripheral blood mononuclear cells. Mol. Psychiatry. 2016;21:1158–1166. doi: 10.1038/mp.2016.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Wang G, et al. The effect of resveratrol on beta amyloid-induced memory impairment involves inhibition of phosphodiesterase-4 related signaling. Oncotarget. 2016;7:17380–17392. doi: 10.18632/oncotarget.8041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Abrams P, et al. Muscarinic receptors: their distribution and function in body systems, and the implications for treating overactive bladder. Br. J. Pharmacol. 2006;148:565–578. doi: 10.1038/sj.bjp.0706780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Dasari S, Gulledge AT. M1 and M4 receptors modulate hippocampal pyramidal neurons. J. Neurophysiol. 2011;105:779–792. doi: 10.1152/jn.00686.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Fornari RV, Moreira KM, Oliveira MG. Effects of the selective M1 muscarinic receptor antagonist dicyclomine on emotional memory. Learn. Mem. 2000;7:287–292. doi: 10.1101/lm.34900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Delmas P, Wanaverbecq N, Abogadie FC, Mistry M, Brown DA. Signaling microdomains define the specificity of receptor-mediated InsP(3) pathways in neurons. Neuron. 2002;34:209–220. doi: 10.1016/S0896-6273(02)00641-4. [DOI] [PubMed] [Google Scholar]
  • 75.Rossi MA, Mash DC, deToledo-Morrell L. Spatial memory in aged rats is related to PKCgamma-dependent G-protein coupling of the M1 receptor. Neurobiol. Aging. 2005;26:53–68. doi: 10.1016/j.neurobiolaging.2004.02.029. [DOI] [PubMed] [Google Scholar]
  • 76.Poplawski GH, et al. L1CAM increases MAP2 expression via the MAPK pathway to promote neurite outgrowth. Mol. Cell. Neurosci. 2012;50:169–178. doi: 10.1016/j.mcn.2012.03.010. [DOI] [PubMed] [Google Scholar]
  • 77.Konar A, Kumar A, Maloney B, Lahiri DK, Thakur MK. A serine protease KLK8 emerges as a regulator of regulators in memory: Microtubule protein dependent neuronal morphology and PKA-CREB signaling. Sci. Rep. 2018;8:9928. doi: 10.1038/s41598-018-27640-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Keyvani K, et al. Higher levels of kallikrein-8 in female brain may increase the risk for Alzheimer’s disease. Brain Pathol. 2018;28:947–964. doi: 10.1111/bpa.12599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Herring A, et al. Kallikrein-8 inhibition attenuates Alzheimer’s pathology in mice. Alzheimers Dement. 2016 doi: 10.1016/j.jalz.2016.05.006. [DOI] [PubMed] [Google Scholar]
  • 80.Tamura H, Shiosaka S, Morikawa S. Trophic modulation of gamma oscillations: The key role of processing protease for Neuregulin-1 and BDNF precursors. Neurochem. Int. 2018;119:2–10. doi: 10.1016/j.neuint.2017.12.002. [DOI] [PubMed] [Google Scholar]
  • 81.Kawata M, Morikawa S, Shiosaka S, Tamura H. Ablation of neuropsin-neuregulin 1 signaling imbalances ErbB4 inhibitory networks and disrupts hippocampal gamma oscillation. Transl Psychiatry. 2017;7:e1052. doi: 10.1038/tp.2017.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Kerr M, Dodd MS, Heather LC. The ‘Goldilocks zone’ of fatty acid metabolism; to ensure that the relationship with cardiac function is just right. Clin. Sci. (Lond.) 2017;131:2079–2094. doi: 10.1042/cs20160671. [DOI] [PubMed] [Google Scholar]
  • 83.Grossman SA, Kleinberg L. A search for the “Goldilocks zone” with regard to the optimal duration of adjuvant temozolomide in patients with glioblastoma. Neuro Oncol. 2017;19:1019–1020. doi: 10.1093/neuonc/nox046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Foster DJ, Choi DL, Conn PJ, Rook JM. Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer’s disease and schizophrenia. Neuropsychiatr. Dis. Treat. 2014;10:183–191. doi: 10.2147/ndt.s55104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Dean DC, 3rd, et al. Association of Amyloid Pathology With Myelin Alteration in Preclinical Alzheimer Disease. JAMA Neurol. 2017;74:41–49. doi: 10.1001/jamaneurol.2016.3232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Marshall GA, et al. Everyday cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment. Curr Alzheimer Res. 2014;11:853–861. doi: 10.2174/1567205011666141001120903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Yan R, Vassar R. Targeting the beta secretase BACE1 for Alzheimer’s disease therapy. Lancet Neurol. 2014;13:319–329. doi: 10.1016/s1474-4422(13)70276-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Yannakoulia M, Kontogianni M, Scarmeas N. Cognitive health and Mediterranean diet: just diet or lifestyle pattern? Ageing research reviews. 2015;20:74–78. doi: 10.1016/j.arr.2014.10.003. [DOI] [PubMed] [Google Scholar]
  • 89.Baumgart M, et al. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimers Dement. 2015;11:718–726. doi: 10.1016/j.jalz.2015.05.016. [DOI] [PubMed] [Google Scholar]
  • 90.Squitti R, Siotto M, Polimanti R. Low-copper diet as a preventive strategy for Alzheimer’s disease. Neurobiol. Aging. 2014;35(Suppl 2):S40–50. doi: 10.1016/j.neurobiolaging.2014.02.031. [DOI] [PubMed] [Google Scholar]
  • 91.Chiu S, et al. The role of nutrient-based epigenetic changes in buffering against stress, aging, and Alzheimer’s disease. Psychiatr. Clin. North Am. 2014;37:591–623. doi: 10.1016/j.psc.2014.09.001. [DOI] [PubMed] [Google Scholar]
  • 92.Pareja-Galeano H, Garatachea N, Lucia A. Exercise as a Polypill for Chronic Diseases. Prog. Mol. Biol. Transl. Sci. 2015;135:497–526. doi: 10.1016/bs.pmbts.2015.07.019. [DOI] [PubMed] [Google Scholar]
  • 93.Okonkwo OC, et al. Physical activity attenuates age-related biomarker alterations in preclinical AD. Neurology. 2014;83:1753–1760. doi: 10.1212/WNL.0000000000000964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Kaliman P, et al. Neurophysiological and epigenetic effects of physical exercise on the aging process. Ageing research reviews. 2011;10:475–486. doi: 10.1016/j.arr.2011.05.002. [DOI] [PubMed] [Google Scholar]
  • 95.Lahiri DK, Maloney B. The “LEARn” (Latent Early-life Associated Regulation) model integrates environmental risk factors and the developmental basis of Alzheimer’s disease, and proposes remedial steps. Exp. Gerontol. 2010;45:291–296. doi: 10.1016/j.exger.2010.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Rigacci S. Olive Oil Phenols as Promising Multi-targeting Agents Against Alzheimer’s Disease. Adv. Exp. Med. Biol. 2015;863:1–20. doi: 10.1007/978-3-319-18365-7_1. [DOI] [PubMed] [Google Scholar]
  • 97.Wang J, et al. Cocoa extracts reduce oligomerization of amyloid-beta: implications for cognitive improvement in Alzheimer’s disease. J. Alzheimers Dis. 2014;41:643–650. doi: 10.3233/JAD-132231. [DOI] [PubMed] [Google Scholar]
  • 98.Reynolds EH. The neurology of folic acid deficiency. Handb. Clin. Neurol. 2014;120:927–943. doi: 10.1016/b978-0-7020-4087-0.00061-9. [DOI] [PubMed] [Google Scholar]
  • 99.Kim H, Kim G, Jang W, Kim SY, Chang N. Association between intake of B vitamins and cognitive function in elderly Koreans with cognitive impairment. Nutrition journal. 2014;13:118. doi: 10.1186/1475-2891-13-118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Bates D, Maechler MM, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J. Stat. Software. 2015;67:1–48. doi: 10.18637/jss.v067.i01. [DOI] [Google Scholar]
  • 101.Lenth, R. emmeans: Estimated marginal means, aka least-squares means. R package version 1.1.3, https://CRAN.R-project.org/package=emmeans (2018).
  • 102.R Core Team. R: A language and Environment for Statistical Computing, https://www.R-project.org (2015).

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

41598_2019_48238_MOESM1_ESM.pdf (522.4KB, pdf)

Supplemental Material-Tables and Figures


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES