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Ni H, Liao Y, Zhang Y, Lu H, Huang Z, Huang F, Zhang Z, Dong Y, Wang Z, Huang Y. Levistilide A ameliorates neuroinflammation via inhibiting JAK2/STAT3 signaling for neuroprotection and cognitive improvement in scopolamine-induced Alzheimer's disease mouse model. Int Immunopharmacol 2023; 124:110783. [PMID: 37619415 DOI: 10.1016/j.intimp.2023.110783] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 07/26/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease associated with cognitive impairment and dementia, which has become a major public health problem. There are no effective therapeutic agents used to treat AD in clinic for the extremely complex pathogenesis. Here we identify Levistilide A (LA), one of the major active natural terpene lactone constituents from Chinese herbal medicine Angelicae sinensis and Chuanxiong Rhizoma, as a potent neuroinflammation inhibitor for neuroprotection and cognitive improvement of AD. We show that LA suppresses neuronal apoptosis, restores cholinergic system function, and lowers neuroinflammation in vivo to improve scopolamine (SCOP)-induced learning and memory deficits. In addition, LA inhibits the release of IL-1β, IL-6 and TNF-α, while increasing the production of IL-4 and IL-10 for anti-inflammatory effects in LPS or Aβ-induced BV2 and HMC3 cells. Furthermore, the conditioned medium (CM) from LA-treated BV2 or HMC3 cells enhances the viability of SH-SY5Y and HT-22 cells, and LA reverses M1 to M2 phenotype transformation of BV2 and HMC3 cells accompanied by the inhibited Iba-1 expression and mRNA level of IL-1β, IL-6, TNF-α and NOS2, and the increased expression of ARG1, CD206 and CD163. Mechanistically, we analyze JAK2/STAT3 signaling as possible targets of LA using network pharmacology approaches, and further experimentally validate that LA inhibits the phosphorylation of JAK2 and STAT3, and STAT3 expression within nucleus both in vitro and in vivo. Collectively, we identify LA as a potential neuroinflammation inhibitor for neuroprotection and cognitive improvement, which is expected to be a candidate for AD therapy.
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Affiliation(s)
- Haojie Ni
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Yanfang Liao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Yifan Zhang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Huinian Lu
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China
| | - Zhiju Huang
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China
| | - Fengming Huang
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China
| | - Zhende Zhang
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China
| | - Yan Dong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
| | - Zihao Wang
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region.
| | - Yujie Huang
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China.
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2
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Zhu R, Makwana KM, Zhang Y, Rajewski BH, Del Valle JR, Wang Y. Blocking tau transmission by biomimetic graphene nanoparticles. J Mater Chem B 2023; 11:7378-7388. [PMID: 37431684 PMCID: PMC10528742 DOI: 10.1039/d3tb00850a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Tauopathies are a class of neurodegenerative diseases resulting in cognitive dysfunction, executive dysfunction, and motor disturbance. The primary pathological feature of tauopathies is the presence of neurofibrillary tangles in the brain composed of tau protein aggregates. Moreover, tau aggregates can spread from neuron to neuron and lead to the propagation of tau pathology. Although numerous small molecules are known to inhibit tau aggregation and block tau cell-to-cell transmission, it is still challenging to use them for therapeutic applications due to poor specificity and low blood-brain barrier (BBB) penetration. Graphene nanoparticles were previously demonstrated to penetrate the BBB and are amenable to functionalization for targeted delivery. Moreover, these nanoscale biomimetic particles can self-assemble or assemble with various biomolecules including proteins. In this paper, we show that graphene quantum dots (GQDs), as graphene nanoparticles, block the seeding activity of tau fibrils by inhibiting the fibrillization of monomeric tau and triggering the disaggregation of tau filaments. This behavior is attributed to electrostatic and π-π stacking interactions of GQDs with tau. Overall, our studies indicate that GQDs with biomimetic properties can efficiently inhibit and disassemble pathological tau aggregates, and thus block tau transmission, which supports their future developments as a potential treatment for tauopathies.
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Affiliation(s)
- Runyao Zhu
- Department of Chemical & Biomolecular Engineering, University of Notre Dame, Indiana 46556, USA.
| | - Kamlesh M Makwana
- Department of Chemistry & Biochemistry, University of Notre Dame, Indiana 46556, USA
| | - Youwen Zhang
- Department of Chemical & Biomolecular Engineering, University of Notre Dame, Indiana 46556, USA.
| | - Benjamin H Rajewski
- Department of Chemistry & Biochemistry, University of Notre Dame, Indiana 46556, USA
| | - Juan R Del Valle
- Department of Chemistry & Biochemistry, University of Notre Dame, Indiana 46556, USA
| | - Yichun Wang
- Department of Chemical & Biomolecular Engineering, University of Notre Dame, Indiana 46556, USA.
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3
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Kumari S, Maddeboina K, Bachu RD, Boddu SHS, Trippier PC, Tiwari AK. Pivotal role of nitrogen heterocycles in Alzheimer's disease drug discovery. Drug Discov Today 2022; 27:103322. [PMID: 35868626 DOI: 10.1016/j.drudis.2022.07.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/21/2022] [Accepted: 07/14/2022] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease (AD) is a detrimental neurodegenerative disease that progressively worsens with time. Clinical options are limited and only provide symptomatic relief to AD patients. The search for effective anti-AD compounds is ongoing with a few already in Phase III clinical trials, yet to be approved. Heterocycles containing nitrogen are important to biological processes owing to their abundance in nature, their function as subunits of biological molecules and/or macromolecular structures, and their biological activities. The present review discusses previously used strategies, SAR, relevant in vitro and in vivo studies, and success stories of nitrogen-containing heterocyclic compounds in AD drug discovery. Also, we propose strategies for designing and developing novel potent anti-AD small molecules that can be used as treatments for AD.
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Affiliation(s)
- Shikha Kumari
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, The University of Toledo, Toledo, OH 43614, USA.
| | - Krishnaiah Maddeboina
- Molecular Targeted Therapeutics Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC 28204, USA
| | - Rinda Devi Bachu
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, The University of Toledo, Toledo, OH 43614, USA
| | - Sai H S Boddu
- College of Pharmacy and Health Sciences, Ajman University, UAE; Center of Medical and Bio-allied Health Sciences Research, Ajman University, P.O. Box 346, Ajman, UAE
| | - Paul C Trippier
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Nebraska Medical Center, UNMC Center for Drug Discovery, Fred & Pamela Buffett Cancer Center, Omaha, NE 68198, USA
| | - Amit K Tiwari
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, The University of Toledo, Toledo, OH 43614, USA; Center of Medical and Bio-allied Health Sciences Research, Ajman University, P.O. Box 346, Ajman, UAE; Department of Cancer Biology, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH 43614, USA.
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4
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Lim BY, Lai KW, Haiskin K, Kulathilake KASH, Ong ZC, Hum YC, Dhanalakshmi S, Wu X, Zuo X. Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI. Front Aging Neurosci 2022; 14:876202. [PMID: 35721012 PMCID: PMC9201448 DOI: 10.3389/fnagi.2022.876202] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 05/11/2022] [Indexed: 01/23/2023] Open
Abstract
Alzheimer’s disease (AD) is an irreversible neurological disorder that affects the vast majority of dementia cases, leading patients to experience gradual memory loss and cognitive function decline. Despite the lack of a cure, early detection of Alzheimer’s disease permits the provision of preventive medication to slow the disease’s progression. The objective of this project is to develop a computer-aided method based on a deep learning model to distinguish Alzheimer’s disease (AD) from cognitively normal and its early stage, mild cognitive impairment (MCI), by just using structural MRI (sMRI). To attain this purpose, we proposed a multiclass classification method based on 3D T1-weight brain sMRI images from the ADNI database. Axial brain images were extracted from 3D MRI and fed into the convolutional neural network (CNN) for multiclass classification. Three separate models were tested: a CNN built from scratch, VGG-16, and ResNet-50. As a feature extractor, the VGG-16 and ResNet-50 convolutional bases trained on the ImageNet dataset were employed. To achieve classification, a new densely connected classifier was implemented on top of the convolutional bases.
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Affiliation(s)
- Bing Yan Lim
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Khin Wee Lai
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
- *Correspondence: Khin Wee Lai,
| | - Khairunnisa Haiskin
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | | | - Zhi Chao Ong
- Department of Mechanical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yan Chai Hum
- Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia
| | - Samiappan Dhanalakshmi
- Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India
| | - Xiang Wu
- School of Medical Information & Engineering, Xuzhou Medical University, Xuzhou, China
| | - Xiaowei Zuo
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
- Xiaowei Zuo,
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Liu X, Vigorito M, Huang W, Khan MAS, Chang SL. The Impact of Alcohol-Induced Dysbiosis on Diseases and Disorders of the Central Nervous System. J Neuroimmune Pharmacol 2022; 17:131-151. [PMID: 34843074 DOI: 10.1007/s11481-021-10033-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/11/2021] [Indexed: 12/29/2022]
Abstract
The human digestive tract contains a diverse and abundant microbiota that is important for health. Excessive alcohol use can disrupt the balance of these microbes (known as dysbiosis), leading to elevated blood endotoxin levels and systemic inflammation. Using QIAGEN Ingenuity Pathway Analysis (IPA) bioinformatics tool, we have confirmed that peripheral endotoxin (lipopolysaccharide) mediates various cytokines to enhance the neuroinflammation signaling pathway. The literature has identified alcohol-mediated neuroinflammation as a possible risk factor for the onset and progression of neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), and psychiatric disorders such as addiction to alcohol and other drugs. In this review, we discuss alcohol-use-induced dysbiosis in the gut and other body parts as a causal factor in the progression of Central Nervous System (CNS) diseases including neurodegenerative disease and possibly alcohol use disorder.
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Affiliation(s)
- Xiangqian Liu
- Institute of Neuroimmune Pharmacology, Seton Hall University, South Orange, NJ, 07079, USA
- Department of Histology and Embryology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P.R. China
| | - Michael Vigorito
- Institute of Neuroimmune Pharmacology, Seton Hall University, South Orange, NJ, 07079, USA
- Department of Psychology, Seton Hall University, South Orange, NJ, 07079, USA
| | - Wenfei Huang
- Institute of Neuroimmune Pharmacology, Seton Hall University, South Orange, NJ, 07079, USA
- Department of Biological Sciences, Seton Hall University, South Orange, NJ, 07079, USA
| | - Mohammed A S Khan
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School and Shriners Hospital for Children, Boston, MA, 02114, USA.
| | - Sulie L Chang
- Institute of Neuroimmune Pharmacology, Seton Hall University, South Orange, NJ, 07079, USA.
- Department of Biological Sciences, Seton Hall University, South Orange, NJ, 07079, USA.
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6
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Nagu P, Sharma V, Behl T, Pathan AKA, Mehta V. Molecular Insights to the Wnt Signaling During Alzheimer's Disorder: a Potential Target for Therapeutic Interventions. J Mol Neurosci 2022; 72:679-690. [PMID: 34997460 DOI: 10.1007/s12031-021-01940-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/30/2021] [Indexed: 11/25/2022]
Abstract
In the adult brain, Wnt signaling is crucial for neurogenesis, and it also regulates neuronal development, neuronal maturation, neuronal differential, and proliferation. Impaired Wnt signaling pathways are associated with enhanced levels of amyloid-β, reduced β-catenin levels, and increased expression of GSK-3β enzyme, suggesting its direct association with the pathogenesis of Alzheimer's disorder (AD). These findings are consolidated by reports where activation of Wnt signaling by genetic factors and pharmacological intervention has improved the cognitive functions in animals and restored neurogenesis in the adult brain. Various natural and synthetic molecules have been identified that modulate Wnt signaling in the adult brain and promote neurogenesis and alleviate behavioral dysfunction. These molecules include lithium, valproic acid, ethosuximide, selenomethionine, curcumin, andrographolide, xanthoceraside, huperzine A, pyridostigmine, ginkgolide-B, ricinine, cannabidiol, and resveratrol. These molecules are associated with the DKK1 and GSK-3β inhibition and β-catenin stabilization along with their effects on neurogenesis, neuronal proliferation, and differentiation in the hippocampus through modulation of Wnt signaling and thereby could prove beneficial in the management of AD pathogenesis. Although modulation of the Wnt signaling seems to suggest to be promising in the management of AD, unfortunately, most of the literature available for the association of Wnt signaling and AD pathogenesis is either from preclinical studies or post-mortem brain. Therefore, it will be interesting to understand the role of Wnt signaling in AD patients, and a rigorous investigation could provide us with a better understanding of AD pathogenesis and the identification of novel targets for therapeutic interventions.
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Affiliation(s)
- Priyanka Nagu
- Department of Pharmacy, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu, Rajasthan, India.,Department of Pharmaceutics, Government College of Pharmacy, Rohru, Himachal Pradesh, India
| | - Vivek Sharma
- Chitkara College of Pharmacy, Chitkara University, Punjab, India.,Department of Pharmacology, Government College of Pharmacy, Himachal Pradesh 171207, Rohru, District Shimla, India
| | - Tapan Behl
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Amjad Khan A Pathan
- Department of Pharmacy, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu, Rajasthan, India
| | - Vineet Mehta
- Department of Pharmacology, Government College of Pharmacy, Himachal Pradesh 171207, Rohru, District Shimla, India.
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