Targeting autophagy using small-molecule compounds to improve potential therapy of Parkinson's disease

Parkinson's disease (PD), known as one of the most universal neurodegenerative diseases, is a serious threat to the health of the elderly. The current treatment has been demonstrated to relieve symptoms, and the discovery of new small-molecule compounds has been regarded as a promising strategy. Of note, the homeostasis of the autolysosome pathway (ALP) is closely associated with PD, and impaired autophagy may cause the death of neurons and thereby accelerating the progress of PD. Thus, pharmacological targeting autophagy with small-molecule compounds has been drawn a rising attention so far. In this review, we focus on summarizing several autophagy-associated targets, such as AMPK, mTORC1, ULK1, IMPase, LRRK2, beclin-1, TFEB, GCase, ERRα, C-Abelson, and as well as their relevant small-molecule compounds in PD models, which will shed light on a clue on exploiting more potential targeted small-molecule drugs tracking PD treatment in the near future.

Recent developments on PET radiotracers for TSPO and their applications in neuroimaging

The 18 kDa translocator protein (TSPO), previously known as the peripheral benzodiazepine receptor, is predominately localized to the outer mitochondrial membrane in steroidogenic cells. Brain TSPO expression is relatively low under physiological conditions, but is upregulated in response to glial cell activation. As the primary index of neuroinflammation, TSPO is implicated in the pathogenesis and progression of numerous neuropsychiatric disorders and neurodegenerative diseases, including Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), Parkinson's disease (PD), multiple sclerosis (MS), major depressive disorder (MDD) and obsessive compulsive disorder (OCD). In this context, numerous TSPO-targeted positron emission tomography (PET) tracers have been developed. Among them, several radioligands have advanced to clinical research studies. In this review, we will overview the recent development of TSPO PET tracers, focusing on the radioligand design, radioisotope labeling, pharmacokinetics, and PET imaging evaluation. Additionally, we will consider current limitations, as well as translational potential for future application of TSPO radiopharmaceuticals. This review aims to not only present the challenges in current TSPO PET imaging, but to also provide a new perspective on TSPO targeted PET tracer discovery efforts. Addressing these challenges will facilitate the translation of TSPO in clinical studies of neuroinflammation associated with central nervous system diseases.

Combination antiretroviral therapy (cART)-induced hippocampal disorders: Highlights on therapeutic potential of Naringenin and Quercetin

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Naringenin and Quercetin decrease ROS and potentiate enzymatic antioxidant production in the hippocampus.

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cART induced marked cytoplasmic shrinkage and several pyknotic nuclei in the dentate gyrus and cornus ammonis region.

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Naringenin and Quercetin attenuates cART-induced upregulation of monoamine oxidase-B expression in neurons.

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Naringenin and Quercetin also ameliorates cART-induced spatial memory impairments.

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Naringenin and Quercetin acted as effective antioxidants in vivo against cART-induced neurotoxicity.

Introduction

In spite of the multiple benefits of combination antiretroviral therapy (cART) on HIV positive patients, prolonged usage has been reported to exacerbate oxidative stress, and induce neurological and cognitive dysfunction, thus, the need to search for an adjuvant therapy to ameliorate the oxidative and improve treatment adherence with better virological outcome. This study aimed at determining the potential therapeutic effects of Quercetin and Naringenin on cART-induced cyto-architectural, neuro-behavioral and immunohistochemical changes in the hippocampus of the adult Wister rats.

Materials and Methods

The animals were grouped as follows: Control, DMSO, 24 mg/kg cART (Tenovovir 300 mg, Lamivudine 300 mg and Efavirenz 600 mg), 50 mg/kg Naringenin, 50 mg/kg Quercetin, cART + Naringenin, cART + Quercetin were administered orally for 8 weeks. At the end of administration, neurobehavioural test was conducted, animals were euthanized and hippocampus was processed for oxidative stress markers, histology, TNF-α, and Monoamine oxidase-B expression.

Results

At the end of 8 weeks of administration, 24 mg/kg cART decreased superoxide dismutase (SOD), catalase (CAT), reduced glutathione (GSH) and increased Malondialdehyde (MDA). Whereas, 50 mg/kg quercetin, and 50 mg/kg Naringenin decreased the oxidative stress (increased SOD, CAT, GSH, and reduced MDA) induced by cART (reduced SOD, CAT, GSH, and increased MDA). In addition, hematoxylin and eosin stained hippocampus showed that quercetin and naringenin prevented neurodegenerative changes (marked cytoplasmic shrinkage and several pyknotic nuclei in the dentate gyrus and cornus ammonis regions) in cART-treated rats. Furthermore, immunohistochemical studies revealed that quercetin and naringenin attenuates cART-induced upregulation of monoamine oxidase-B (MAO-B) expression. Likewise, from the Morris water maze neurobehavioral studies, naringenin and quercetin also ameliorated cART-induced memory impairments (initial spatial memory, reversal spatial memory and probe tests).

Conclusion

This study shows that Naringenin and Quercetin have a good potential in reversing cART-induced hippocampal disorders in Wistar rats.

Identifying natural compounds as multi-target-directed ligands against Alzheimer's disease: an in silico approach

Alzheimer's disease (AD) is a multi-factorial disease, which can be simply outlined as an irreversible and progressive neurodegenerative disorder with an unclear root cause. It is a major cause of dementia in old aged people. In the present study, utilizing the structural and biological activity information of ligands for five important and mostly studied vital targets (i.e. cyclin-dependant kinase 5, β-secretase, monoamine oxidase B, glycogen synthase kinase 3β, acetylcholinesterase) that are believed to be effective against AD, we have developed five classification models using linear discriminant analysis (LDA) technique. Considering the importance of data curation, we have given more attention towards the chemical and biological data curation, which is a difficult task especially in case of big data-sets. Thus, to ease the curation process we have designed Konstanz Information Miner (KNIME) workflows, which are made available at http://teqip.jdvu.ac.in/QSAR_Tools/ . The developed models were appropriately validated based on the predictions for experiment derived data from test sets, as well as true external set compounds including known multi-target compounds. The domain of applicability for each classification model was checked based on a confidence estimation approach. Further, these validated models were employed for screening of natural compounds collected from the InterBioScreen natural database ( https://www.ibscreen.com/natural-compounds ). Further, the natural compounds that were categorized as 'actives' in at least two classification models out of five developed models were considered as multi-target leads, and these compounds were further screened using the drug-like filter, molecular docking technique and then thoroughly analyzed using molecular dynamics studies. Finally, the most potential multi-target natural compounds against AD are suggested.