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Rudenskaya GE, Petukhova MS, Zabnenkova VV, Cherevatova TB, Ryzhkova OP. [Early-onset familial Alzheimer's disease with spastic paraparesis associated with PSEN1 gene]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:120-127. [PMID: 37994898 DOI: 10.17116/jnevro2023123111120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
A familial case of a rare autosomal dominant Alzheimer's disease (AD), related to PSEN1 gene (AD3, OMIM 607822), differing from common multifactorial form by earlier onset and, in part of cases, by accompanying neurological signs, spastic paraparesis particularly, is presented. The first sign in a female proband and in her son was paraparesis manifested at the age of 29 and 21 years, respectively. Cognitive disturbances developed soon; the former diagnosis was hereditary spastic paraplegia with cognitive impairment, In the proband examined in 2008 at 33 years old the diagnosis was not established. In the son examined in 2022 at 27 years old whole-exome sequencing detected a novel PSEN1 missense mutation p.Thr421Ala. The mutation was confirmed by Sanger sequencing in him, found out in the proband (who was severely disabled by that time) and excluded in her unaffected mother. Except for different age of onset, AD3 in two patients was similar, though in whole it is variable, also in relatives. The variability and rareness of the disease hampers clinical diagnostics. Massive parallel sequencing is a most reliable diagnostic method.
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Affiliation(s)
| | - M S Petukhova
- Research Centre for Medical Genetics, Moscow, Russia
| | | | | | - O P Ryzhkova
- Research Centre for Medical Genetics, Moscow, Russia
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102
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Abondio P, Bruno F, Bruni AC, Luiselli D. Rare Amyloid Precursor Protein Point Mutations Recapitulate Worldwide Migration and Admixture in Healthy Individuals: Implications for the Study of Neurodegeneration. Int J Mol Sci 2022; 23:ijms232415871. [PMID: 36555510 PMCID: PMC9781461 DOI: 10.3390/ijms232415871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 11/30/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
Genetic discoveries related to Alzheimer's disease and other dementias have been performed using either large cohorts of affected subjects or multiple individuals from the same pedigree, therefore disregarding mutations in the context of healthy groups. Moreover, a large portion of studies so far have been performed on individuals of European ancestry, with a remarkable lack of epidemiological and genomic data from underrepresented populations. In the present study, 70 single-point mutations on the APP gene in a publicly available genetic dataset that included 2504 healthy individuals from 26 populations were scanned, and their distribution was analyzed. Furthermore, after gametic phase reconstruction, a pairwise comparison of the segments surrounding the mutations was performed to reveal patterns of haplotype sharing that could point to specific cross-population and cross-ancestry admixture events. Eight mutations were detected in the worldwide dataset, with several of them being specific for a single individual, population, or macroarea. Patterns of segment sharing reflected recent historical events of migration and admixture possibly linked to colonization campaigns. These observations reveal the population dynamics of the considered APP mutations in worldwide human groups and support the development of ancestry-informed screening practices for the improvement of precision and personalized approaches to neurodegeneration and dementia.
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Affiliation(s)
- Paolo Abondio
- Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy
- Laboratory of Molecular Anthropology and Center for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Francesco Bruno
- Regional Neurogenetic Center (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
- Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
- Correspondence:
| | - Amalia Cecilia Bruni
- Regional Neurogenetic Center (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
| | - Donata Luiselli
- Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy
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Mukerjee N, Al-Khafaji K, Maitra S, Suhail Wadi J, Sachdeva P, Ghosh A, Buchade RS, Chaudhari SY, Jadhav SB, Das P, Hasan MM, Rahman MH, Albadrani GM, Altyar AE, Kamel M, Algahtani M, Shinan K, Theyab A, Abdel-Daim MM, Ashraf GM, Rahman MM, Sharma R. Recognizing novel drugs against Keap1 in Alzheimer's disease using machine learning grounded computational studies. Front Mol Neurosci 2022; 15:1036552. [PMID: 36561895 PMCID: PMC9764216 DOI: 10.3389/fnmol.2022.1036552] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/21/2022] [Indexed: 12/12/2022] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder in the world, affecting an estimated 50 million individuals. The nerve cells become impaired and die due to the formation of amyloid-beta (Aβ) plaques and neurofibrillary tangles (NFTs). Dementia is one of the most common symptoms seen in people with AD. Genes, lifestyle, mitochondrial dysfunction, oxidative stress, obesity, infections, and head injuries are some of the factors that can contribute to the development and progression of AD. There are just a few FDA-approved treatments without side effects in the market, and their efficacy is restricted due to their narrow target in the etiology of AD. Therefore, our aim is to identify a safe and potent treatment for Alzheimer's disease. We chose the ursolic acid (UA) and its similar compounds as a compounds' library. And the ChEMBL database was adopted to obtain the active and inactive chemicals against Keap1. The best Quantitative structure-activity relationship (QSAR) model was created by evaluating standard machine learning techniques, and the best model has the lowest RMSE and greatest R2 (Random Forest Regressor). We chose pIC50 of 6.5 as threshold, where the top five potent medicines (DB06841, DB04310, DB11784, DB12730, and DB12677) with the highest predicted pIC50 (7.091184, 6.900866, 6.800155, 6.768965, and 6.756439) based on QSAR analysis. Furthermore, the top five medicines utilize as ligand molecules were docked in Keap1's binding region. The structural stability of the nominated medications was then evaluated using molecular dynamics simulations, RMSD, RMSF, Rg, and hydrogen bonding. All models are stable at 20 ns during simulation, with no major fluctuations observed. Finally, the top five medications are shown as prospective inhibitors of Keap1 and are the most promising to battle AD.
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Affiliation(s)
- Nobendu Mukerjee
- Department of Microbiology, West Bengal State University, Kolkata, India,Department of Health Sciences, Novel Global Community Educational Foundation, Hebersham, NSW, Australia
| | | | - Swastika Maitra
- Department of Microbiology, Adamas University, Kolkata, India
| | | | - Punya Sachdeva
- Amity Institute of Neuropsychology and Neurosciences, Amity University, Noida, India
| | - Arabinda Ghosh
- Microbiology Division, Department of Botany, Gauhati University, Guwahati, India
| | - Rahul Subhash Buchade
- Department of Pharmaceutical Chemistry, SCES’s Indira College of Pharmacy “Niramay”, Pune, India
| | - Somdatta Yashwant Chaudhari
- Department of Pharmaceutical Chemistry, Progressive Education Society’s Modern College of Pharmacy, Pune, India
| | - Shailaja B. Jadhav
- Department of Pharmaceutical Chemistry, Progressive Education Society’s Modern College of Pharmacy, Pune, India
| | - Padmashree Das
- Center for Biotechnology and Bioinformatics, Dibrugarh University, Dibrugarh, India
| | - Mohammad Mehedi Hasan
- Department of Biochemistry and Molecular Biology, Faculty of Life Science, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
| | - Md. Habibur Rahman
- Department of Global Medical Science, Wonju College of Medicine, Yonsei University, Wonju-si, South Korea
| | - Ghadeer M. Albadrani
- Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Ahmed E. Altyar
- Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohamed Kamel
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt
| | - Mohammad Algahtani
- Department of Laboratory and Blood Bank, Security Forces Hospital, Mecca, Saudi Arabia
| | - Khlood Shinan
- Department of Computer Science, College Computer Science in Al-Leith, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Abdulrahman Theyab
- Department of Laboratory and Blood Bank, Security Forces Hospital, Mecca, Saudi Arabia,College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Mohamed M. Abdel-Daim
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, Jeddah, Saudi Arabia,Department of Pharmacology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt,*Correspondence: Mohamed M. Abdel-Daim,
| | - Ghulam Md. Ashraf
- Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Md. Mominur Rahman
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India,Rohit Sharma,
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104
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Libard S, Giedraitis V, Kilander L, Ingelsson M, Alafuzoff I. Mixed Pathologies in a Subject with a Novel PSEN1 G206R Mutation. J Alzheimers Dis 2022; 90:1601-1614. [PMID: 36314207 PMCID: PMC9789486 DOI: 10.3233/jad-220655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND There are more than 300 presenilin-1 (PSEN1) mutations identified but a thorough postmortem neuropathological assessment of the mutation carriers is seldom performed. OBJECTIVE To assess neuropathological changes (NC) in a 73-year-old subject with the novel PSEN1 G206R mutation suffering from cognitive decline in over 20 years. To compare these findings with an age- and gender-matched subject with sporadic Alzheimer's disease (sAD). METHODS The brains were assessed macro- and microscopically and the proteinopathies were staged according to current recommendations. RESULTS The AD neuropathological change (ADNC) was more extensive in the mutation carrier, although both individuals reached a high level of ADNC. The transactive DNA binding protein 43 pathology was at the end-stage in the index subject, a finding not previously described in familial AD. This pathology was moderate in the sAD subject. The PSEN1 G206R subject displayed full-blown alpha-synuclein pathology, while this proteinopathy was absent in the sAD case. Additionally, the mutation carrier displayed pronounced neuroinflammation, not previously described in association with PSEN1 mutations. CONCLUSION Our findings are exceptional, as the PSEN1 G206R subject displayed an end-stage pathology of every common proteinopathy. It is unclear whether the observed alterations are caused by the mutation or are related to a cross-seeding mechanisms. The pronounced neuroinflammation in the index patient can be reactive to the extensive NC or a contributing factor to the proteinopathies. Thorough postmortem neuropathological and genetic assessment of subjects with familial AD is warranted, for further understanding of a dementing illness.
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Affiliation(s)
- Sylwia Libard
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden,Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden,Krembil Brain Institute, University Health Network, Toronto, ON, Canada,Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Irina Alafuzoff
- Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
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105
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LLabre JE, Gil C, Amatya N, Lagalwar S, Possidente B, Vashishth D. Degradation of Bone Quality in a Transgenic Mouse Model of Alzheimer's Disease. J Bone Miner Res 2022; 37:2548-2565. [PMID: 36250342 PMCID: PMC9772191 DOI: 10.1002/jbmr.4723] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 10/03/2022] [Accepted: 10/14/2022] [Indexed: 12/31/2022]
Abstract
Alzheimer's disease (AD) patients present with symptoms such as impairment of insulin signaling, chronic inflammation, and oxidative stress. Furthermore, there are comorbidities associated with AD progression. For example, osteoporosis is common with AD wherein patients exhibit reduced mineralization and a risk for fragility fractures. However, there is a lack of understanding on the effects of AD on bone beyond loss of bone density. To this end, we investigated the effects of AD on bone quality using the 5XFAD transgenic mouse model in which 12-month-old 5XFAD mice showed accumulation of amyloid-beta (Aβ42) compared with wild-type (WT) littermates (n = 10/group; 50% female, 50% male). Here, we observed changes in cortical bone but not in cancellous bone quality. Both bone mass and bone quality, measured in femoral samples using imaging (micro-CT, confocal Raman spectroscopy, X-ray diffraction [XRD]), mechanical (fracture tests), and chemical analyses (biochemical assays), were altered in the 5XFAD mice compared with WT. Micro-CT results showed 5XFAD mice had lower volumetric bone mineral density (BMD) and increased endocortical bone loss. XRD results showed decreased mineralization with smaller mineral crystals. Bone matrix compositional properties, from Raman, showed decreased crystallinity along with higher accumulation of glycoxidation products and glycation products, measured biochemically. 5XFAD mice also demonstrated loss of initiation and maximum toughness. We observed that carboxymethyl-lysine (CML) and mineralization correlated with initiation toughness, whereas crystal size and pentosidine (PEN) correlated with maximum toughness, suggesting bone matrix changes predominated by advanced glycation end products (AGEs) and altered/poor mineral quality explained loss of fracture toughness. Our findings highlight two pathways to skeletal fragility in AD through alteration of bone quality: (i) accumulation of AGEs; and (ii) loss of crystallinity, decreased crystal size, and loss of mineralization. We observed that the accumulation of amyloidosis in brain correlated with an increase in several AGEs, consistent with a mechanistic link between elevated Aβ42 levels in the brain and AGE accumulation in bone. © 2022 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Joan E. LLabre
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
- Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Cristianel Gil
- Department of Biology, Skidmore College, Saratoga Springs, NY, USA
| | - Neha Amatya
- Department of Biology, Skidmore College, Saratoga Springs, NY, USA
| | - Sarita Lagalwar
- Neuroscience Program, Skidmore College, Saratoga Springs, NY, USA
| | | | - Deepak Vashishth
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
- Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA
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106
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Dunn PJ, Lea RA, Maksemous N, Smith RA, Sutherland HG, Haupt LM, Griffiths LR. Investigating a Genetic Link Between Alzheimer's Disease and CADASIL-Related Cerebral Small Vessel Disease. Mol Neurobiol 2022; 59:7293-7302. [PMID: 36175824 PMCID: PMC9616771 DOI: 10.1007/s12035-022-03039-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/19/2022] [Indexed: 10/14/2022]
Abstract
Monogenic forms of Alzheimer's disease (AD) have been identified through mutations in genes such as APP, PSEN1, and PSEN2, whilst other genetic markers such as the APOE ε carrier allele status have been shown to increase the likelihood of having the disease. Mutations in these genes are not limited to AD, as APP mutations can also cause an amyloid form of cerebral small vessel disease (CSVD) known as cerebral amyloid angiopathy, whilst PSEN1 and PSEN2 are involved in NOTCH3 signalling, a process known to be dysregulated in the monogenic CSVD, cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). The overlap between AD genes and causes of CSVD led to the hypothesis that mutations in other genes within the PANTHER AD-presenilin pathway may be novel causes of CSVD in a cohort of clinically suspicious CADASIL patients without a pathogenic NOTCH3 mutation. To investigate this, whole exome sequencing was performed on 50 suspected CADASIL patients with no NOTCH3 mutations, and a targeted gene analysis was completed on the PANTHER. ERN1 was identified as a novel candidate CSVD gene following predicted pathogenic gene mutation analysis. Rare variant burden testing failed to identify an association with any gene; however, it did show a nominally significant link with ERN1 and TRPC3. This study provides evidence to support a genetic overlap between CSVD and Alzheimer's disease.
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Affiliation(s)
- Paul J Dunn
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia.,Faculty of Health Sciences and Medicine, Bond University, 14 University Drive, Robina, QLD, 4226, Australia
| | - Rodney A Lea
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Neven Maksemous
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Robert A Smith
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Heidi G Sutherland
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Larisa M Haupt
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Lyn R Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia.
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107
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Pandey SN, Singh G, Semwal BC, Gupta G, Alharbi KS, Almalki WH, Albratty M, Najmi A, Meraya AM. Therapeutic approaches of nutraceuticals in the prevention of Alzheimer's disease. J Food Biochem 2022; 46:e14426. [PMID: 36169224 DOI: 10.1111/jfbc.14426] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/04/2022] [Accepted: 09/07/2022] [Indexed: 01/13/2023]
Abstract
Alzheimer's disease (AD) is a neurological illness that causes memory loss over time. Currently, available pharmaceutical medicines and products are limited, and they have side effects at a higher price. Researchers and scientists have observed significant effects of nutraceuticals. Various preclinical and clinical studies were investigated for the Anti-Alzheimer's activity of nutraceuticals. The increasing ability of the pathogenesis of AD has led to the analysis of novel therapeutic targets, including the pathophysiological mechanisms and distinct cascades. So, current improvement will show the most adequate and prominent nutraceuticals and suggested concise mechanisms involving autophagy regulation, anti-inflammatory, antioxidant, mitochondrial homeostasis, and others. The effects of nutraceuticals cannot be ignored; it is important to investigate high-quality clinical trials. Given the potential of nutraceuticals to battle AD as multi-targeted therapies, it's vital to evaluate them as viable lead compounds for drug discovery and development. To the best of the authors 'knowledge, modification of blood-brain barrier permeability, bioavailability, and aspects of randomized clinical trials should be considered in prospective investigations. PRACTICAL APPLICATIONS: Advancements in molecular diagnostic and fundamentals have implemented particular usefulness for drug evaluation. An excess of experimental knowledge occurs regarding the effect of nutraceuticals on AD. There are various preclinical and clinical studies that have been done on nutraceuticals. In addition, various substitute inhibit and enhance some pathophysiological levels associated with AD. Nutraceuticals are easily available and have fewer side effects with cost-effective advantages. However, further investigations and clinical trials are required to encourage its effect on disease.
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Affiliation(s)
- Surya Nath Pandey
- Department of Pharmacology, University Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India.,Department of Pharmacology, College of Pharmacy, Teerthanker Mahaveer University, Moradabad, UP, India
| | - Gurfateh Singh
- Department of Pharmacology, University Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India
| | - Bhupesh Chander Semwal
- Division of Pharmacology, Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh, India
| | - Gaurav Gupta
- School of Pharmacy, Suresh Gyan Vihar University, Jaipur, India.,Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India.,Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
| | - Khalid Saad Alharbi
- Department of Pharmacology, College of Pharmacy, Jouf University, Sakaka, Al-Jouf, Saudi Arabia
| | - Waleed Hassan Almalki
- Department of Pharmacology, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Mohammed Albratty
- Department of Pharmaceutical Chemistry, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
| | - Asim Najmi
- Department of Pharmaceutical Chemistry, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
| | - Abdulkarim M Meraya
- Pharmacy Practice Research Unit, Department of Clinical Pharmacy, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
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108
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Mani R, Sha Sulthana A, Muthusamy G, Elangovan N. Progress in the development of naturally derived active metabolites-based drugs: Potential therapeutics for Alzheimer's disease. Biotechnol Appl Biochem 2022; 69:2713-2732. [PMID: 35067971 DOI: 10.1002/bab.2317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/03/2022] [Indexed: 12/27/2022]
Abstract
Alzheimer's disease (AD) is an extensive age-associated neurodegenerative disorder. In spite of wide-ranging progress in understanding the AD pathology for the past 50 years, clinical trials based on the hypothesis of amyloid-beta (Aβ) have reserved worsening particularly at late-stage human trials. Consequently, very few old drugs are presently used for AD with inadequate clinical consequences and various side effects. We focus on widespread pharmacological and beneficial principles for existing as well as future drugs. Multitargeting approaches by means of general antioxidant and anti-inflammatory mechanisms allied with particular receptor and/or enzyme-mediated actions in neuroprotection and neurodegeneration. The plant kingdom comprises a vast range of species with an incredible diversity of bioactive metabolites with diverse chemical scaffolds. In recent times, an increasing body of facts recommended the use of phytochemicals to decelerate AD's onset and progression. The definitive goal of AD investigation is to avert the onset of neurodegeneration, thereby allowing successful aging devoid of cognitive decline. At this point, we discussed the neurological protective role of natural products and naturally derived therapeutic agents for AD from various natural polyphenolic compounds and medicinal plants. In conclusion, medicinal plants act as a chief source of different bioactive constituents.
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Affiliation(s)
- Renuka Mani
- Department of Biotechnology, School of Bioscience, Periyar University, Salem, Tamil Nadu, India
| | - Ahmed Sha Sulthana
- Department of Biotechnology, School of Bioscience, Periyar University, Salem, Tamil Nadu, India
| | - Ganesan Muthusamy
- Department of Biochemistry, School of Bioscience, Periyar University, Salem, Tamil Nadu, India
| | - Namasivayam Elangovan
- Department of Biotechnology, School of Bioscience, Periyar University, Salem, Tamil Nadu, India
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109
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Wallon D, Nicolas G. Genetica della malattia di Alzheimer. Neurologia 2022. [DOI: 10.1016/s1634-7072(22)47093-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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110
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Lang AL, Eulalio T, Fox E, Yakabi K, Bukhari SA, Kawas CH, Corrada MM, Montgomery SB, Heppner FL, Capper D, Nachun D, Montine TJ. Methylation differences in Alzheimer's disease neuropathologic change in the aged human brain. Acta Neuropathol Commun 2022; 10:174. [PMID: 36447297 PMCID: PMC9710143 DOI: 10.1186/s40478-022-01470-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/24/2022] [Indexed: 12/05/2022] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia with advancing age as its strongest risk factor. AD neuropathologic change (ADNC) is known to be associated with numerous DNA methylation changes in the human brain, but the oldest old (> 90 years) have so far been underrepresented in epigenetic studies of ADNC. Our study participants were individuals aged over 90 years (n = 47) from The 90+ Study. We analyzed DNA methylation from bulk samples in eight precisely dissected regions of the human brain: middle frontal gyrus, cingulate gyrus, entorhinal cortex, dentate gyrus, CA1, substantia nigra, locus coeruleus and cerebellar cortex. We deconvolved our bulk data into cell-type-specific (CTS) signals using computational methods. CTS methylation differences were analyzed across different levels of ADNC. The highest amount of ADNC related methylation differences was found in the dentate gyrus, a region that has so far been underrepresented in large scale multi-omic studies. In neurons of the dentate gyrus, DNA methylation significantly differed with increased burden of amyloid beta (Aβ) plaques at 5897 promoter regions of protein-coding genes. Amongst these, higher Aβ plaque burden was associated with promoter hypomethylation of the Presenilin enhancer 2 (PEN-2) gene, one of the rate limiting genes in the formation of gamma-secretase, a multicomponent complex that is responsible in part for the endoproteolytic cleavage of amyloid precursor protein into Aβ peptides. In addition to novel ADNC related DNA methylation changes, we present the most detailed array-based methylation survey of the old aged human brain to date. Our open-sourced dataset can serve as a brain region reference panel for future studies and help advance research in aging and neurodegenerative diseases.
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Affiliation(s)
- Anna-Lena Lang
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Tiffany Eulalio
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 USA
| | - Eddie Fox
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Koya Yakabi
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Syed A. Bukhari
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Claudia H. Kawas
- Department of Neurology, University of California Irvine, Orange, CA 92868-4280 USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697 USA
| | - Maria M. Corrada
- Department of Neurology, University of California Irvine, Orange, CA 92868-4280 USA
- Department of Epidemiology, University of California, Irvine, CA 92617 USA
| | - Stephen B. Montgomery
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
- Department of Genetics, Stanford University, Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 USA
| | - Frank L. Heppner
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), 10117 Berlin, Germany
- Cluster of Excellence, NeuroCure, 10117 Berlin, Germany
| | - David Capper
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Daniel Nachun
- Department of Genetics, Stanford University, Stanford, CA 94305 USA
| | - Thomas J. Montine
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
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Hajjo R, Sabbah DA, Abusara OH, Al Bawab AQ. A Review of the Recent Advances in Alzheimer's Disease Research and the Utilization of Network Biology Approaches for Prioritizing Diagnostics and Therapeutics. Diagnostics (Basel) 2022; 12:diagnostics12122975. [PMID: 36552984 PMCID: PMC9777434 DOI: 10.3390/diagnostics12122975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
Alzheimer's disease (AD) is a polygenic multifactorial neurodegenerative disease that, after decades of research and development, is still without a cure. There are some symptomatic treatments to manage the psychological symptoms but none of these drugs can halt disease progression. Additionally, over the last few years, many anti-AD drugs failed in late stages of clinical trials and many hypotheses surfaced to explain these failures, including the lack of clear understanding of disease pathways and processes. Recently, different epigenetic factors have been implicated in AD pathogenesis; thus, they could serve as promising AD diagnostic biomarkers. Additionally, network biology approaches have been suggested as effective tools to study AD on the systems level and discover multi-target-directed ligands as novel treatments for AD. Herein, we provide a comprehensive review on Alzheimer's disease pathophysiology to provide a better understanding of disease pathogenesis hypotheses and decipher the role of genetic and epigenetic factors in disease development and progression. We also provide an overview of disease biomarkers and drug targets and suggest network biology approaches as new tools for identifying novel biomarkers and drugs. We also posit that the application of machine learning and artificial intelligence to mining Alzheimer's disease multi-omics data will facilitate drug and biomarker discovery efforts and lead to effective individualized anti-Alzheimer treatments.
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Affiliation(s)
- Rima Hajjo
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, The University of North Carlina at Chapel Hill, Chapel Hill, NC 27599, USA
- National Center for Epidemics and Communicable Disease Control, Amman 11118, Jordan
- Correspondence:
| | - Dima A. Sabbah
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan
| | - Osama H. Abusara
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan
| | - Abdel Qader Al Bawab
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan
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112
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Wang L, Yu C, Tao Y, Yang X, Jiang Q, Yu H, Zhang J. Transcriptome analysis reveals potential marker genes for diagnosis of Alzheimer's disease and vascular dementia. Front Genet 2022; 13:1038585. [PMID: 36506318 PMCID: PMC9730885 DOI: 10.3389/fgene.2022.1038585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/31/2022] [Indexed: 11/27/2022] Open
Abstract
Alzheimer's disease (AD) and vascular dementia (VD) are the two most common forms of dementia, share similar symptoms, and are sometimes difficult to distinguish. To investigate the potential mechanisms by which they differ, we identified differentially expressed genes in blood and brain samples from patients with these diseases, and performed weighted gene co-expression network analysis and other bioinformatics analyses. Weighted gene co-expression network analysis resulted in mining of different modules based on differences in gene expression between these two diseases. Enrichment analysis and generation of a protein-protein interaction network were used to identify core pathways for each disease. Modules were significantly involved in cAMP and AMPK signaling pathway, which may be regulated cell death in AD and VD. Genes of cAMP and neurotrophin signaling pathways, including ATP1A3, PP2A, NCEH1, ITPR1, CAMKK2, and HDAC1, were identified as key markers. Using the least absolute shrinkage and selection operator method, a diagnostic model for AD and VD was generated and verified through analysis of gene expression in blood of patients. Furthermore, single sample gene set enrichment analysis was used to characterize immune cell infiltration into brain tissue. That results showed that infiltration of DCs and pDCs cells was increased, and infiltration of B cells and TFH cells was decreased in the brain tissues of patients with AD and VD. In summary, classification based on target genes showed good diagnostic efficiency, and filled the gap in the diagnostic field or optimizes the existing diagnostic model, which could be used to distinguish between AD and VD.
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Affiliation(s)
- Li Wang
- Department of Geriatrics, The Second Affiliated Hospital of the Harbin Medical University, Harbin, China
| | - Chunjiang Yu
- Department of Neurology, The Second Affiliated Hospital of the Harbin Medical University, Harbin, China,*Correspondence: Chunjiang Yu,
| | - Ye Tao
- Department of Neurology, The First Hospital of SuiHua City, Suihua, China
| | - Xiumei Yang
- Department of Cardiovascularology, The Fifth Hospital of the Harbin City, Harbin, China
| | - Qiao Jiang
- Department of Neurology, The Fifth People’s Hospital of the Dalian City, Dalian, China
| | - Haiyu Yu
- Rehabilitation Department of Jiamusi Center Hospital, Jiamusi, China
| | - Jiejun Zhang
- Department of Neurology, Hebei Yanda Hospital, Hebei, China
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Kulminski AM, Jain-Washburn E, Loiko E, Loika Y, Feng F, Culminskaya I. Associations of the APOE ε2 and ε4 alleles and polygenic profiles comprising APOE-TOMM40-APOC1 variants with Alzheimer's disease biomarkers. Aging (Albany NY) 2022; 14:9782-9804. [PMID: 36399096 PMCID: PMC9831745 DOI: 10.18632/aging.204384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022]
Abstract
Capturing the genetic architecture of Alzheimer's disease (AD) is challenging because of the complex interplay of genetic and non-genetic factors in its etiology. It has been suggested that AD biomarkers may improve the characterization of AD pathology and its genetic architecture. Most studies have focused on connections of individual genetic variants with AD biomarkers, whereas the role of combinations of genetic variants is substantially underexplored. We examined the associations of the APOE ε2 and ε4 alleles and polygenic profiles comprising the ε4-encoding rs429358, TOMM40 rs2075650, and APOC1 rs12721046 polymorphisms with cerebrospinal fluid (CSF) and plasma amyloid β (Aβ40 and Aβ42) and tau biomarkers. Our findings support associations of the ε4 alleles with both plasma and CSF Aβ42 and CSF tau, and the ε2 alleles with baseline, but not longitudinal, CSF Aβ42 measurements. We found that the ε4-bearing polygenic profiles conferring higher and lower AD risks are differentially associated with tau but not Aβ42. Modulation of the effect of the ε4 alleles by TOMM40 and APOC1 variants indicates the potential genetic mechanism of differential roles of Aβ and tau in AD pathogenesis.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Ethan Jain-Washburn
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Fan Feng
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
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Ameen AO, Freude K, Aldana BI. Fats, Friends or Foes: Investigating the Role of Short- and Medium-Chain Fatty Acids in Alzheimer's Disease. Biomedicines 2022; 10:2778. [PMID: 36359298 PMCID: PMC9687972 DOI: 10.3390/biomedicines10112778] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/18/2022] [Accepted: 10/26/2022] [Indexed: 08/26/2023] Open
Abstract
Characterising Alzheimer's disease (AD) as a metabolic disorder of the brain is gaining acceptance based on the pathophysiological commonalities between AD and major metabolic disorders. Therefore, metabolic interventions have been explored as a strategy for brain energetic rescue. Amongst these, medium-chain fatty acid (MCFA) supplementations have been reported to rescue the energetic failure in brain cells as well as the cognitive decline in patients. Short-chain fatty acids (SCFA) have also been implicated in AD pathology. Due to the increasing therapeutic interest in metabolic interventions and brain energetic rescue in neurodegenerative disorders, in this review, we first summarise the role of SCFAs and MCFAs in AD. We provide a comparison of the main findings regarding these lipid species in established AD animal models and recently developed human cell-based models of this devastating disorder.
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Affiliation(s)
- Aishat O. Ameen
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Kristine Freude
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg, Denmark
| | - Blanca I. Aldana
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark
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115
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Muñoz E, Jodar M, Guerrero J, Compta Y, Perissinotti A, Álvarez‐Mora MI, Falgàs N, Rodríguez‐Revenga L, Sánchez‐Valle R. Spastic Paraplegia and Cognitive Impairment Due to a De Novo Pathogenic Variant in Presenilin-1. Mov Disord Clin Pract 2022; 10:148-150. [PMID: 36699002 PMCID: PMC9847302 DOI: 10.1002/mdc3.13588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/09/2022] [Accepted: 09/27/2022] [Indexed: 01/28/2023] Open
Affiliation(s)
- Esteban Muñoz
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), European Reference Network‐Rare Neurological Diseases (ERN‐RND)University of BarcelonaBarcelonaCataloniaSpain
| | - Meritxell Jodar
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaCataloniaSpain
| | - Jairo Guerrero
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), European Reference Network‐Rare Neurological Diseases (ERN‐RND)University of BarcelonaBarcelonaCataloniaSpain
| | - Yaroslau Compta
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Institut Clínic de Neurociències, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), European Reference Network‐Rare Neurological Diseases (ERN‐RND)University of BarcelonaBarcelonaCataloniaSpain
| | - Andrés Perissinotti
- Nuclear Medicine Department, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Biomedical Research Networking Center of Bioengineering, Biomaterials, and NanomedicineInstituto de Salud Carlos III (CIBER‐BBN)BarcelonaSpain
| | - Maria I. Álvarez‐Mora
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaCataloniaSpain
| | - Neus Falgàs
- Alzheimer's Disease and Other Cognitive Disorders Unit. Neurology Service. Institut Clínic de Neurociències, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaCataloniaSpain
| | - Laia Rodríguez‐Revenga
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaCataloniaSpain
| | - Raquel Sánchez‐Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit. Neurology Service. Institut Clínic de Neurociències, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaCataloniaSpain
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116
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Chen W, Coombes BJ, Larson NB. Recent advances and challenges of rare variant association analysis in the biobank sequencing era. Front Genet 2022; 13:1014947. [PMID: 36276986 PMCID: PMC9582646 DOI: 10.3389/fgene.2022.1014947] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022] Open
Abstract
Causal variants for rare genetic diseases are often rare in the general population. Rare variants may also contribute to common complex traits and can have much larger per-allele effect sizes than common variants, although power to detect these associations can be limited. Sequencing costs have steadily declined with technological advancements, making it feasible to adopt whole-exome and whole-genome profiling for large biobank-scale sample sizes. These large amounts of sequencing data provide both opportunities and challenges for rare-variant association analysis. Herein, we review the basic concepts of rare-variant analysis methods, the current state-of-the-art methods in utilizing variant annotations or external controls to improve the statistical power, and particular challenges facing rare variant analysis such as accounting for population structure, extremely unbalanced case-control design. We also review recent advances and challenges in rare variant analysis for familial sequencing data and for more complex phenotypes such as survival data. Finally, we discuss other potential directions for further methodology investigation.
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Affiliation(s)
- Wenan Chen
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN, United States
- *Correspondence: Wenan Chen, ; Brandon J. Coombes, ; Nicholas B. Larson,
| | - Brandon J. Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Wenan Chen, ; Brandon J. Coombes, ; Nicholas B. Larson,
| | - Nicholas B. Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Wenan Chen, ; Brandon J. Coombes, ; Nicholas B. Larson,
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Implications of Microorganisms in Alzheimer's Disease. Curr Issues Mol Biol 2022; 44:4584-4615. [PMID: 36286029 PMCID: PMC9600878 DOI: 10.3390/cimb44100314] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 11/20/2022] Open
Abstract
Alzheimer’s disease (AD) is a deadly brain degenerative disorder that leads to brain shrinkage and dementia. AD is manifested with hyperphosphorylated tau protein levels and amyloid beta (Aβ) peptide buildup in the hippocampus and cortex regions of the brain. The nervous tissue of AD patients also contains fungal proteins and DNA which are linked to bacterial infections, suggesting that polymicrobial infections also occur in the brains of those with AD. Both immunohistochemistry and next-generation sequencing (NGS) techniques were employed to assess fungal and bacterial infections in the brain tissue of AD patients and non-AD controls, with the most prevalent fungus genera detected in AD patients being Alternaria, Botrytis, Candida, and Malassezia. Interestingly, Fusarium was the most common genus detected in the control group. Both AD patients and controls were also detectable for Proteobacteria, followed by Firmicutes, Actinobacteria, and Bacteroides for bacterial infection. At the family level, Burkholderiaceae and Staphylococcaceae exhibited higher levels in the brains of those with AD than the brains of the control group. Accordingly, there is thought to be a viscous cycle of uncontrolled neuroinflammation and neurodegeneration in the brain, caused by agents such as the herpes simplex virus type 1 (HSV1), Chlamydophilapneumonia, and Spirochetes, and the presence of apolipoprotein E4 (APOE4), which is associated with an increased proinflammatory response in the immune system. Systemic proinflammatory cytokines are produced by microorganisms such as Cytomegalovirus, Helicobacter pylori, and those related to periodontal infections. These can then cross the blood–brain barrier (BBB) and lead to the onset of dementia. Here, we reviewed the relationship between the etiology of AD and microorganisms (such as bacterial pathogens, Herpesviridae viruses, and periodontal pathogens) according to the evidence available to understand the pathogenesis of AD. These findings might guide a targeted anti-inflammatory therapeutic approach to AD.
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118
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Genetics, Functions, and Clinical Impact of Presenilin-1 (PSEN1) Gene. Int J Mol Sci 2022; 23:ijms231810970. [PMID: 36142879 PMCID: PMC9504248 DOI: 10.3390/ijms231810970] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/09/2022] [Accepted: 09/14/2022] [Indexed: 12/29/2022] Open
Abstract
Presenilin-1 (PSEN1) has been verified as an important causative factor for early onset Alzheimer's disease (EOAD). PSEN1 is a part of γ-secretase, and in addition to amyloid precursor protein (APP) cleavage, it can also affect other processes, such as Notch signaling, β-cadherin processing, and calcium metabolism. Several motifs and residues have been identified in PSEN1, which may play a significant role in γ-secretase mechanisms, such as the WNF, GxGD, and PALP motifs. More than 300 mutations have been described in PSEN1; however, the clinical phenotypes related to these mutations may be diverse. In addition to classical EOAD, patients with PSEN1 mutations regularly present with atypical phenotypic symptoms, such as spasticity, seizures, and visual impairment. In vivo and in vitro studies were performed to verify the effect of PSEN1 mutations on EOAD. The pathogenic nature of PSEN1 mutations can be categorized according to the ACMG-AMP guidelines; however, some mutations could not be categorized because they were detected only in a single case, and their presence could not be confirmed in family members. Genetic modifiers, therefore, may play a critical role in the age of disease onset and clinical phenotypes of PSEN1 mutations. This review introduces the role of PSEN1 in γ-secretase, the clinical phenotypes related to its mutations, and possible significant residues of the protein.
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119
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Liu C, Cong L, Zhu M, Wang Y, Tang S, Han X, Zhang Q, Tian N, Liu K, Liang X, Fa W, Wang N, Hou T, Du Y. Screening for Genetic Mutations Associated with Early-Onset Alzheimer's Disease in Han Chinese. Curr Alzheimer Res 2022; 19:724-733. [PMID: 36306459 DOI: 10.2174/1567205020666221028112915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early-onset Alzheimer's disease (EOAD) is highly influenced by genetic factors. Numerous mutations in amyloid precursor protein (APP) and presenilin 1 and 2 (PSEN1 and PSEN2) have been identified for EOAD, but they can only account for a small proportion of EOAD cases. OBJECTIVE This study aimed to screen genetic mutations and variants associated with EOAD among Han Chinese adults. METHODS This study included 34 patients with EOAD and 26 controls from a population-based study and neurological ward. We first sequenced mutations in APP/PSENs and then performed whole-exome sequencing in the remaining patients with negative mutations in APP/PSENs to screen for additional potential genetic variants. Among patients who were negative in genetic screening tests, we further evaluated the risk burden of genes related to the Aβ metabolism-centered network to search for other probable causes of EOAD. RESULTS We identified 7 functional variants in APP/PSENs in 8 patients, including 1 APP mutation (p. Val715Met), 3 PSEN1 mutations (p. Phe177Ser; p. Arg377Met; p. Ile416Thr), and 3 PSEN2 mutations (p. Glu24Lys; p. Gly34Ser; p. Met239Thr). Of the remaining 26 EOAD cases without mutations in APP/PSENs, the proportion of carrying rare variants of genes involved in Aβ and APP metabolism was significantly higher than that of controls (84.6% vs. 73.1%, P=0.042). Thirty-one risk genes with 47 variants were identified in 22 patients. However, in 26 normal subjects, only 20 risk genes with 29 variants were identified in 19 subjects. CONCLUSIONS Our findings demonstrate the role of APP/PSENs mutations in EOAD, identifying a new PSEN2 missense mutation, and further offer valuable insights into the potential genetic mechanisms of EOAD without APP/PSENs mutations among Han Chinese.
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Affiliation(s)
- Cuicui Liu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Min Zhu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Xiaojuan Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Na Tian
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Xiaoyan Liang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Wenxin Fa
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Nan Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
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Alves LB, Castillo-Ordoñez WO, Giuliatti S. Virtual screening and molecular dynamics study of natural products against Rab10 for the treatment of Alzheimer's disease. J Biomol Struct Dyn 2022:1-21. [PMID: 35994325 DOI: 10.1080/07391102.2022.2112079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder associated with aging. Various enzymatic targets have been and are still being studied in an attempt to discover new drugs for the treatment of AD; however, Rab GTPases are still relatively unexplored. These enzymes regulate cellular processes by alternating of GDP and GTP nucleotides. In vitro studies have shown that the knockdown of Rab10 reduces the production of Aβ40 and Aβ42 peptides, making it a promising target for the treatment of AD. In order to identify potential Rab10 inhibitors, the structure-based virtual screening (SBVS) was used considering a subset of 80763 natural products obtained from ZINC15 database. Tertiary structure of Rab10 was obtained from the Protein Data Bank and the Autodock Vina program was used in the SBVS to filter potential bioactive substances against this enzyme. The SBVS protocol was validated by redocking the co-crystallized GNP and the binding energies of the GDP and GTP were used as controls in the pharmacodynamic analysis. Thus, it was possible to select 45 compounds with binding energy less or equal -11 kcal.mol-1. ADME/T properties of these compounds were evaluated by the SwissADME program, where it was possible to identify 6 promising molecules. The resulting complexes were subjected to molecular dynamics simulations to analyze the pharmacodynamics over time. The results suggest that the compound ZINC4090657 (derived from quinolizidine) and the compounds ZINC4000106 and ZINC0630250 (derived from coumarin) have favorable pharmacological characteristics for the inhibition of Rab10, with ZINC4090657 being the most promising one. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Levy Bueno Alves
- Department of Genetics, University of São Paulo Ribeirão Preto, Ribeirão Preto, Brazil
| | | | - Silvana Giuliatti
- Department of Genetics, University of São Paulo Ribeirão Preto, Ribeirão Preto, Brazil
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Abdelnour C, Agosta F, Bozzali M, Fougère B, Iwata A, Nilforooshan R, Takada LT, Viñuela F, Traber M. Perspectives and challenges in patient stratification in Alzheimer’s disease. Alzheimers Res Ther 2022; 14:112. [PMID: 35964143 PMCID: PMC9375274 DOI: 10.1186/s13195-022-01055-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 07/27/2022] [Indexed: 12/14/2022]
Abstract
Background Patient stratification is the division of a patient population into distinct subgroups based on the presence or absence of particular disease characteristics. As patient stratification can be used to account for the underlying pathology of a disease, it can help physicians to tailor therapeutic interventions to individuals and optimize their care management and treatment regime. Alzheimer’s disease, the most common form of dementia, is a heterogeneous disease and its management benefits from patient stratification in clinical trials, and the development of personalized care and treatment strategies for people living with the disease. Main body In this review, we discuss the importance of the stratification of people living with Alzheimer’s disease, the challenges associated with early diagnosis and patient stratification, and the evolution of patient stratification once disease-modifying therapies become widely available. Conclusion Patient stratification plays an important role in drug development in clinical trials and may play an even larger role in clinical practice. A timely diagnosis and stratification of people living with Alzheimer’s disease is paramount in determining people who are at risk of progressing from mild cognitive impairment to Alzheimer’s dementia. There are key issues associated with stratifying patients which include the heterogeneity and complex neurobiology behind Alzheimer’s disease, our inadequately prepared healthcare systems, and the cultural perceptions of Alzheimer’s disease. Stratifying people living with Alzheimer’s disease may be the key in establishing precision and personalized medicine in the field, optimizing disease prevention and pharmaceutical treatment to slow or stop cognitive decline, while minimizing adverse effects.
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Huq AJ, Thompson B, Bennett MF, Bournazos A, Bommireddipalli S, Gorelik A, Schultz J, Sexton A, Purvis R, West K, Cotter M, Valente G, Hughes A, Riaz M, Walsh M, Farrand S, Loi SM, Kilpatrick T, Brodtmann A, Darby D, Eratne D, Walterfang M, Delatycki MB, Storey E, Fahey M, Cooper S, Lacaze P, Masters CL, Velakoulis D, Bahlo M, James PA, Winship I. Clinical impact of whole-genome sequencing in patients with early-onset dementia. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328146. [PMID: 35906014 DOI: 10.1136/jnnp-2021-328146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 06/07/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND In the clinical setting, identification of the genetic cause in patients with early-onset dementia (EOD) is challenging due to multiple types of genetic tests required to arrive at a diagnosis. Whole-genome sequencing (WGS) has the potential to serve as a single diagnostic platform, due to its superior ability to detect common, rare and structural genetic variation. METHODS WGS analysis was performed in 50 patients with EOD. Point mutations, small insertions/deletions, as well as structural variants (SVs) and short tandem repeats (STRs), were analysed. An Alzheimer's disease (AD)-related polygenic risk score (PRS) was calculated in patients with AD. RESULTS Clinical genetic diagnosis was achieved in 7 of 50 (14%) of the patients, with a further 8 patients (16%) found to have established risk factors which may have contributed to their EOD. Two pathogenic variants were identified through SV analysis. No expanded STRs were found in this study cohort, but a blinded analysis with a positive control identified a C9orf72 expansion accurately. Approximately 37% (7 of 19) of patients with AD had a PRS equivalent to >90th percentile risk. DISCUSSION WGS acts as a single genetic test to identify different types of clinically relevant genetic variations in patients with EOD. WGS, if used as a first-line clinical diagnostic test, has the potential to increase the diagnostic yield and reduce time to diagnosis for EOD.
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Affiliation(s)
- Aamira J Huq
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Bryony Thompson
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Pathology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mark F Bennett
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Adam Bournazos
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Shobhana Bommireddipalli
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Alexandra Gorelik
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Schultz
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Adrienne Sexton
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Rebecca Purvis
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Kirsty West
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Megan Cotter
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Giulia Valente
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Andrew Hughes
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Moeen Riaz
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Maie Walsh
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sarah Farrand
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Samantha M Loi
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Trevor Kilpatrick
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Amy Brodtmann
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Florey Neurosciences Institutes, University of Melbourne, Carlton South, Victoria, Australia
| | - David Darby
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia
- Mental Health Research Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Elsdon Storey
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Neuroscience, Alfred Health, Melbourne, Victoria, Australia
| | - Michael Fahey
- Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Sandra Cooper
- Institute for Neuroscience and Muscle Research, Children's Hospital at Westmead, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Paul Lacaze
- Public Health and Preventative Medicine, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Melanie Bahlo
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Paul A James
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
| | - Ingrid Winship
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
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Frequency distribution of the hereditary Alzheimer's disease-related genes seems to fit Poisson distribution, why? Cell Discov 2022; 8:73. [PMID: 35902568 PMCID: PMC9334388 DOI: 10.1038/s41421-022-00444-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/01/2022] [Indexed: 11/24/2022] Open
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Bashirzade AA, Zabegalov KN, Volgin AD, Belova AS, Demin KA, de Abreu MS, Babchenko VY, Bashirzade KA, Yenkoyan KB, Tikhonova MA, Amstislavskaya TG, Kalueff AV. Modeling neurodegenerative disorders in zebrafish. Neurosci Biobehav Rev 2022; 138:104679. [PMID: 35490912 DOI: 10.1016/j.neubiorev.2022.104679] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 04/11/2022] [Accepted: 04/24/2022] [Indexed: 12/15/2022]
Abstract
Neurodegeneration is a major cause of Alzheimer's, Parkinson's, Huntington's, multiple and amyotrophic lateral sclerosis, pontocerebellar hypoplasia, dementia and other related brain disorders. Their complex pathogenesis commonly includes genetic and neurochemical deficits, misfolded protein toxicity, demyelination, apoptosis and mitochondrial dysfunctions. Albeit differing in specific underlying mechanisms, neurodegenerative disorders typically display evolutionarily conserved mechanisms across taxa. Here, we review the role of zebrafish models in recapitulating major human and rodent neurodegenerative conditions, demonstrating this species as a highly relevant experimental model for research on neurodegenerative diseases, and discussing how these fish models can further clarify the underlying genetic, neurochemical, neuroanatomical and behavioral pathogenic mechanisms.
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Affiliation(s)
- Alim A Bashirzade
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | | | - Andrey D Volgin
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | - Alisa S Belova
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | - Konstantin A Demin
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Granov Scientific Research Center of Radiology and Surgical Technologies, St. Petersburg, Russia; Almazov Medical Research Center, St. Petersburg, Russia
| | | | - Vladislav Ya Babchenko
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | - Kseniya A Bashirzade
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia
| | - Konstantin B Yenkoyan
- Neuroscience Laboratory, COBRAIN Center, M Heratsi Yerevan State Medical University, Yerevan, Armenia; COBRAIN Center - Scientific Educational Center for Fundamental Brain Research, Yerevan, Armenia
| | - Maria A Tikhonova
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | - Tamara G Amstislavskaya
- Novosibirsk State University, Institute of Medicine and Psychology, Novosibirsk, Russia; Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, Russia
| | - Allan V Kalueff
- The Russian Academy of Sciences, Moscow, Russia; Ural Federal University, Yekaterinburg, Russia; COBRAIN Center - Scientific Educational Center for Fundamental Brain Research, Yerevan, Armenia.
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Bacterial pneumonia and subsequent dementia risk: A nationwide cohort study. Brain Behav Immun 2022; 103:12-18. [PMID: 35390468 DOI: 10.1016/j.bbi.2022.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/17/2022] [Accepted: 04/01/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Bacterial pneumonia is associated with an increased risk of dementia. However, the association between different pathogens of bacterial pneumonia and the risk of dementia remains unclear. METHODS Using the Taiwan National Health Insurance Research Database, we recruited 11,712 patients with bacterial pneumonia and 11,120 controls between 1997 and 2012 and followed them up until the end of 2013. A diagnosis of dementia, Alzheimer's disease (AD), vascular dementia (VaD), and unspecified dementia were identified during the follow-up period. Cox regression analyses were performed with adjustments for confounders. Sensitivity analysis was conducted to exclude patients with prodromal dementia. RESULTS Patients with bacterial pneumonia were more likely to develop dementia (hazard ratio [HR]: 2.83, 95% confidence interval [CI]: 2.53-3.18), AD (HR: 2.44, 95% CI: 1.65-3.61), VaD (HR: 4.15, 95% CI: 3.20-5.38), and unspecified dementia (HR: 2.62, 95% CI: 2.29-3.00) compared with controls after adjusting for potential confounders. Subgroup pathogen analyses showed that the HR of AD was 3.85 (1.66-8.96) for Hemophilus, and the HR of VaD was 5.40 for Staphylococcus. The risks of dementia and VaD were associated with repeated hospitalization due to bacterial pneumonia in a dose-dependent manner. Sensitivity analyses after exclusion of the first three years or first five years of observation and after exclusion case enrollment before 2010 or 2008 showed consistent findings. CONCLUSION Different pathogens are associated with different risks of AD, VaD, and unspecified dementia. Further studies are necessary to investigate the underlying mechanisms of bacterial pneumonia and dementia.
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Srivastava V, Mathur D, Rout S, Mishra BK, Pannu V, Anand A, Anand A. Ayurvedic Herbal Therapies: A Review of Treatment and Management of Dementia. Curr Alzheimer Res 2022; 19:568-584. [PMID: 35929620 DOI: 10.2174/1567205019666220805100008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 01/27/2023]
Abstract
Dementia has been characterized by atypical neurological syndromes and several cognitive deficits, such as extended memory loss, strange behavior, unusual thinking, impaired judgment, impotence, and difficulty with daily living activities. Dementia is not a disease, but it is caused by several neurodegenerative diseases, such as Alzheimer's, Parkinson's, and Lewy's bodies. Several drugs and remedies are indicated for alleviating unusual cognitive decline, but no effective pharmacological treatment regimens are available without side effects. Herbal drugs or traditional medicines like Ayurveda have been known for facilitating and corroborating the balance between mind, brain, body, and environment. Ayurvedic therapy comprises 600 herbal formulas, 250 single plant remedies, and natural and holistic health-giving treatments that relieve dementia in patients and increase vitality. Ayurvedic Rasayana herbs [rejuvenating elements] strengthen the brain cells, enhance memory, and decrease stress. The current medicine scenario in the treatment of dementia has prompted the shift in exploring the efficacy of ayurvedic medicine, its safety, and its efficiency. This review presents the literature on several herbal treatments for improving dementia symptomatology and patients' quality of life.
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Affiliation(s)
- Vinod Srivastava
- College of Health and Behavioral Sciences, Fort Hays State University, Hays, Kansas 67601, USA
| | - Deepali Mathur
- Department of Neurology, Apollo Hospitals, Bhubaneswar, Odisha, India
| | - Soumyashree Rout
- Department of Neurology, Apollo Hospitals, Bhubaneswar, Odisha, India
| | | | - Viraaj Pannu
- Department of Internal Medicine, Jersey Shore University Medical Center, Neptune, New Jersey, USA
| | - Akshay Anand
- Neuroscience Research Lab, Department of Neurology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Akshay Anand
- Neuroscience Research Lab, Department of Neurology, PGIMER, Chandigarh, India
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Microglia Phenotypes in Aging and Neurodegenerative Diseases. Cells 2022; 11:cells11132091. [PMID: 35805174 PMCID: PMC9266143 DOI: 10.3390/cells11132091] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/24/2022] [Accepted: 06/29/2022] [Indexed: 02/08/2023] Open
Abstract
Neuroinflammation is a hallmark of many neurodegenerative diseases (NDs) and plays a fundamental role in mediating the onset and progression of disease. Microglia, which function as first-line immune guardians of the central nervous system (CNS), are the central drivers of neuroinflammation. Numerous human postmortem studies and in vivo imaging analyses have shown chronically activated microglia in patients with various acute and chronic neuropathological diseases. While microglial activation is a common feature of many NDs, the exact role of microglia in various pathological states is complex and often contradictory. However, there is a consensus that microglia play a biphasic role in pathological conditions, with detrimental and protective phenotypes, and the overall response of microglia and the activation of different phenotypes depends on the nature and duration of the inflammatory insult, as well as the stage of disease development. This review provides a comprehensive overview of current research on the various microglia phenotypes and inflammatory responses in health, aging, and NDs, with a special emphasis on the heterogeneous phenotypic response of microglia in acute and chronic diseases such as hemorrhagic stroke (HS), Alzheimer’s disease (AD), and Parkinson’s disease (PD). The primary focus is translational research in preclinical animal models and bulk/single-cell transcriptome studies in human postmortem samples. Additionally, this review covers key microglial receptors and signaling pathways that are potential therapeutic targets to regulate microglial inflammatory responses during aging and in NDs. Additionally, age-, sex-, and species-specific microglial differences will be briefly reviewed.
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128
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Long HZ, Zhou ZW, Cheng Y, Luo HY, Li FJ, Xu SG, Gao LC. The Role of Microglia in Alzheimer’s Disease From the Perspective of Immune Inflammation and Iron Metabolism. Front Aging Neurosci 2022; 14:888989. [PMID: 35847685 PMCID: PMC9284275 DOI: 10.3389/fnagi.2022.888989] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 06/13/2022] [Indexed: 12/25/2022] Open
Abstract
Alzheimer’s disease (AD), the most common type of senile dementia, includes the complex pathogenesis of abnormal deposition of amyloid beta-protein (Aβ), phosphorylated tau (p-tau) and neuroimmune inflammatory. The neurodegenerative process of AD triggers microglial activation, and the overactivation of microglia produces a large number of neuroimmune inflammatory factors. Microglia dysfunction can lead to disturbances in iron metabolism and enhance iron-induced neuronal degeneration in AD, while elevated iron levels in brain areas affect microglia phenotype and function. In this manuscript, we firstly discuss the role of microglia in AD and then introduce the role of microglia in the immune-inflammatory pathology of AD. Their role in AD iron homeostasis is emphasized. Recent studies on microglia and ferroptosis in AD are also reviewed. It will help readers better understand the role of microglia in iron metabolism in AD, and provides a basis for better regulation of iron metabolism disorders in AD and the discovery of new potential therapeutic targets for AD.
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Affiliation(s)
- Hui-Zhi Long
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Zi-Wei Zhou
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Yan Cheng
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Hong-Yu Luo
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Feng-Jiao Li
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Shuo-Guo Xu
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
| | - Li-Chen Gao
- School of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- Hunan Provincial Key Laboratory of Tumor Microenvironment Responsive Drug Research, Hengyang, China
- *Correspondence: Li-Chen Gao,
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Schramm C, Charbonnier C, Zaréa A, Lacour M, Wallon D, Boland A, Deleuze JF, Olaso R, Alarcon F, Campion D, Nuel G, Nicolas G. Penetrance estimation of Alzheimer disease in SORL1 loss-of-function variant carriers using a family-based strategy and stratification by APOE genotypes. Genome Med 2022; 14:69. [PMID: 35761418 PMCID: PMC9238165 DOI: 10.1186/s13073-022-01070-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 06/08/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Alzheimer disease (AD) is a common complex disorder with a high genetic component. Loss-of-function (LoF) SORL1 variants are one of the strongest AD genetic risk factors. Estimating their age-related penetrance is essential before putative use for genetic counseling or preventive trials. However, relative rarity and co-occurrence with the main AD risk factor, APOE-ε4, make such estimations difficult. METHODS We proposed to estimate the age-related penetrance of SORL1-LoF variants through a survival framework by estimating the conditional instantaneous risk combining (i) a baseline for non-carriers of SORL1-LoF variants, stratified by APOE-ε4, derived from the Rotterdam study (N = 12,255), and (ii) an age-dependent proportional hazard effect for SORL1-LoF variants estimated from 27 extended pedigrees (including 307 relatives ≥ 40 years old, 45 of them having genotyping information) recruited from the French reference center for young Alzheimer patients. We embedded this model into an expectation-maximization algorithm to accommodate for missing genotypes. To correct for ascertainment bias, proband phenotypes were omitted. Then, we assessed if our penetrance curves were concordant with age distributions of APOE-ε4-stratified SORL1-LoF variant carriers detected among sequencing data of 13,007 cases and 10,182 controls from European and American case-control study consortia. RESULTS SORL1-LoF variants penetrance curves reached 100% (95% confidence interval [99-100%]) by age 70 among APOE-ε4ε4 carriers only, compared with 56% [40-72%] and 37% [26-51%] in ε4 heterozygous carriers and ε4 non-carriers, respectively. These estimates were fully consistent with observed age distributions of SORL1-LoF variant carriers in case-control study data. CONCLUSIONS We conclude that SORL1-LoF variants should be interpreted in light of APOE genotypes for future clinical applications.
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Affiliation(s)
- Catherine Schramm
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France
| | - Camille Charbonnier
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France
| | - Aline Zaréa
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | - Morgane Lacour
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | - David Wallon
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | | | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | | | - Flora Alarcon
- MAP5, UMR-CNRS 8145, Paris University, 75270, Paris, France
| | - Dominique Campion
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France.,Department of Research, Rouvray Psychiatric Hospital, 76681, Sotteville-Lès-Rouen, France
| | - Grégory Nuel
- LPSM, CNRS 8001, Sorbonne University, 75005, Paris, France
| | - Gaël Nicolas
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France.
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Stanciu GD, Ababei DC, Rusu RN, Bild V, Tamba BI. Exploring the Involvement of the Amyloid Precursor Protein A673T Mutation against Amyloid Pathology and Alzheimer's Disease in Relation to Therapeutic Editing Tools. Pharmaceutics 2022; 14:1270. [PMID: 35745842 PMCID: PMC9228826 DOI: 10.3390/pharmaceutics14061270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/20/2022] [Accepted: 06/13/2022] [Indexed: 02/05/2023] Open
Abstract
Alzheimer's disease (AD) is biologically defined as a complex neurodegenerative condition with a multilayered nature that leads to a progressive decline in cognitive function and irreversible neuronal loss. It is one of the primary diseases among elderly individuals. With an increasing incidence and a high failure rate for pharmaceutical options that are merely symptom-targeting and supportive with many side effects, there is an urgent need for alternative strategies. Despite extensive knowledge on the molecular basis of AD, progress concerning effective disease-modifying therapies has proven to be a challenge. The ability of the CRISPR-Cas9 gene editing system to help identify target molecules or to generate new preclinical disease models could shed light on the pathogenesis of AD and provide promising therapeutic possibilities. Here, we sought to highlight the current understanding of the involvement of the A673T mutation in amyloid pathology, focusing on its roles in protective mechanisms against AD, in relation to the recent status of available therapeutic editing tools.
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Affiliation(s)
- Gabriela Dumitrita Stanciu
- Advanced Research and Development Center for Experimental Medicine (CEMEX), Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania; (G.D.S.); (B.-I.T.)
| | - Daniela Carmen Ababei
- Pharmacodynamics and Clinical Pharmacy Department, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania; (R.N.R.); (V.B.)
| | - Razvan Nicolae Rusu
- Pharmacodynamics and Clinical Pharmacy Department, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania; (R.N.R.); (V.B.)
| | - Veronica Bild
- Pharmacodynamics and Clinical Pharmacy Department, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania; (R.N.R.); (V.B.)
| | - Bogdan-Ionel Tamba
- Advanced Research and Development Center for Experimental Medicine (CEMEX), Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania; (G.D.S.); (B.-I.T.)
- Department of Pharmacology, Clinical Pharmacology and Algesiology, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Street, 700115 Iasi, Romania
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Sirkis DW, Bonham LW, Johnson TP, La Joie R, Yokoyama JS. Dissecting the clinical heterogeneity of early-onset Alzheimer's disease. Mol Psychiatry 2022; 27:2674-2688. [PMID: 35393555 PMCID: PMC9156414 DOI: 10.1038/s41380-022-01531-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/07/2022] [Accepted: 03/16/2022] [Indexed: 12/14/2022]
Abstract
Early-onset Alzheimer's disease (EOAD) is a rare but particularly devastating form of AD. Though notable for its high degree of clinical heterogeneity, EOAD is defined by the same neuropathological hallmarks underlying the more common, late-onset form of AD. In this review, we describe the various clinical syndromes associated with EOAD, including the typical amnestic phenotype as well as atypical variants affecting visuospatial, language, executive, behavioral, and motor functions. We go on to highlight advances in fluid biomarker research and describe how molecular, structural, and functional neuroimaging can be used not only to improve EOAD diagnostic acumen but also enhance our understanding of fundamental pathobiological changes occurring years (and even decades) before the onset of symptoms. In addition, we discuss genetic variation underlying EOAD, including pathogenic variants responsible for the well-known mendelian forms of EOAD as well as variants that may increase risk for the much more common forms of EOAD that are either considered to be sporadic or lack a clear autosomal-dominant inheritance pattern. Intriguingly, specific pathogenic variants in PRNP and MAPT-genes which are more commonly associated with other neurodegenerative diseases-may provide unexpectedly important insights into the formation of AD tau pathology. Genetic analysis of the atypical clinical syndromes associated with EOAD will continue to be challenging given their rarity, but integration of fluid biomarker data, multimodal imaging, and various 'omics techniques and their application to the study of large, multicenter cohorts will enable future discoveries of fundamental mechanisms underlying the development of EOAD and its varied clinical presentations.
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Affiliation(s)
- Daniel W Sirkis
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Luke W Bonham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Taylor P Johnson
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA.
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132
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Petit D, Fernández SG, Zoltowska KM, Enzlein T, Ryan NS, O'Connor A, Szaruga M, Hill E, Vandenberghe R, Fox NC, Chávez-Gutiérrez L. Aβ profiles generated by Alzheimer's disease causing PSEN1 variants determine the pathogenicity of the mutation and predict age at disease onset. Mol Psychiatry 2022; 27:2821-2832. [PMID: 35365805 PMCID: PMC9156411 DOI: 10.1038/s41380-022-01518-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 02/23/2022] [Accepted: 03/03/2022] [Indexed: 02/05/2023]
Abstract
Familial Alzheimer's disease (FAD), caused by mutations in Presenilin (PSEN1/2) and Amyloid Precursor Protein (APP) genes, is associated with an early age at onset (AAO) of symptoms. AAO is relatively consistent within families and between carriers of the same mutations, but differs markedly between individuals carrying different mutations. Gaining a mechanistic understanding of why certain mutations manifest several decades earlier than others is extremely important in elucidating the foundations of pathogenesis and AAO. Pathogenic mutations affect the protease (PSEN/γ-secretase) and the substrate (APP) that generate amyloid β (Aβ) peptides. Altered Aβ metabolism has long been associated with AD pathogenesis, with absolute or relative increases in Aβ42 levels most commonly implicated in the disease development. However, analyses addressing the relationships between these Aβ42 increments and AAO are inconsistent. Here, we investigated this central aspect of AD pathophysiology via comprehensive analysis of 25 FAD-linked Aβ profiles. Hypothesis- and data-driven approaches demonstrate linear correlations between mutation-driven alterations in Aβ profiles and AAO. In addition, our studies show that the Aβ (37 + 38 + 40) / (42 + 43) ratio offers predictive value in the assessment of 'unclear' PSEN1 variants. Of note, the analysis of PSEN1 variants presenting additionally with spastic paraparesis, indicates that a different mechanism underlies the aetiology of this distinct clinical phenotype. This study thus delivers valuable assays for fundamental, clinical and genetic research as well as supports therapeutic interventions aimed at shifting Aβ profiles towards shorter Aβ peptides.
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Affiliation(s)
- Dieter Petit
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
| | - Sara Gutiérrez Fernández
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
| | - Katarzyna Marta Zoltowska
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
| | - Thomas Enzlein
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163, Mannheim, Germany
| | - Natalie S Ryan
- UK Dementia Research Institute at UCL, Queen Square, WC1N 3BG, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, UK
| | - Antoinette O'Connor
- UK Dementia Research Institute at UCL, Queen Square, WC1N 3BG, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, UK
| | - Maria Szaruga
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
| | - Elizabeth Hill
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49 box 1027, 3000, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Nick C Fox
- UK Dementia Research Institute at UCL, Queen Square, WC1N 3BG, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, UK
| | - Lucía Chávez-Gutiérrez
- VIB-KU Leuven Center for Brain & Disease Research, Herestraat 49 box 602, 3000, Leuven, Belgium.
- Department of Neurosciences, Leuven Brain Institute, KU Leuven, Herestraat 49 box 602, 3000, Leuven, Belgium.
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133
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Restrepo LJ, DePew AT, Moese ER, Tymanskyj SR, Parisi MJ, Aimino MA, Duhart JC, Fei H, Mosca TJ. γ-secretase promotes Drosophila postsynaptic development through the cleavage of a Wnt receptor. Dev Cell 2022; 57:1643-1660.e7. [PMID: 35654038 DOI: 10.1016/j.devcel.2022.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 04/06/2022] [Accepted: 05/10/2022] [Indexed: 12/27/2022]
Abstract
Developing synapses mature through the recruitment of specific proteins that stabilize presynaptic and postsynaptic structure and function. Wnt ligands signaling via Frizzled (Fz) receptors play many crucial roles in neuronal and synaptic development, but whether and how Wnt and Fz influence synaptic maturation is incompletely understood. Here, we show that Fz2 receptor cleavage via the γ-secretase complex is required for postsynaptic development and maturation. In the absence of γ-secretase, Drosophila neuromuscular synapses fail to recruit postsynaptic scaffolding and cytoskeletal proteins, leading to behavioral deficits. Introducing presenilin mutations linked to familial early-onset Alzheimer's disease into flies leads to synaptic maturation phenotypes that are identical to those seen in null alleles. This conserved role for γ-secretase in synaptic maturation and postsynaptic development highlights the importance of Fz2 cleavage and suggests that receptor processing by proteins linked to neurodegeneration may be a shared mechanism with aspects of synaptic development.
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Affiliation(s)
- Lucas J Restrepo
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Alison T DePew
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Elizabeth R Moese
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Stephen R Tymanskyj
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Michael J Parisi
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Michael A Aimino
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Juan Carlos Duhart
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Hong Fei
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA
| | - Timothy J Mosca
- Department of Neuroscience, Vickie and Jack Farber Institute of Neuroscience, Thomas Jefferson University, Bluemle Life Sciences Building, Philadelphia, PA 19107, USA.
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134
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Reducing PDK1/Akt Activity: An Effective Therapeutic Target in the Treatment of Alzheimer's Disease. Cells 2022; 11:cells11111735. [PMID: 35681431 PMCID: PMC9179555 DOI: 10.3390/cells11111735] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/16/2022] [Accepted: 05/24/2022] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is a common age-related neurodegenerative disease that leads to memory loss and cognitive function damage due to intracerebral neurofibrillary tangles (NFTs) and amyloid-β (Aβ) protein deposition. The phosphoinositide-dependent protein kinase (PDK1)/protein kinase B (Akt) signaling pathway plays a significant role in neuronal differentiation, synaptic plasticity, neuronal survival, and neurotransmission via the axon–dendrite axis. The phosphorylation of PDK1 and Akt rises in the brain, resulting in phosphorylation of the TNF-α-converting enzyme (TACE) at its cytoplasmic tail (the C-terminal end), changing its internalization as well as its trafficking. The current review aimed to explain the mechanisms of the PDK1/Akt/TACE signaling axis that exerts its modulatory effect on AD physiopathology. We provide an overview of the neuropathological features, genetics, Aβ aggregation, Tau protein hyperphosphorylation, neuroinflammation, and aging in the AD brain. Additionally, we summarized the phosphoinositide 3-kinase (PI3K)/PDK1/Akt pathway-related features and its molecular mechanism that is dependent on TACE in the pathogenesis of AD. This study reviewed the relationship between the PDK1/Akt signaling pathway and AD, and discussed the role of PDK1/Akt in resisting neuronal toxicity by suppressing TACE expression in the cell membrane. This work also provides a perspective for developing new therapeutics targeting PDK1/Akt and TACE for the treatment of AD.
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135
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Abstract
The potential contribution of pathogenic microbes to dementia-inducing disease is a subject of considerable importance. Alzheimer’s disease (AD) is a neurocognitive disease that slowly destroys brain function, leading to cognitive decline and behavioral and psychiatric disorders. The histopathology of AD is associated with neuronal loss and progressive synaptic dysfunction, accompanied by the deposition of amyloid-β (Aβ) peptide in the form of parenchymal plaques and abnormal aggregated tau protein in the form of neurofibrillary tangles. Observational, epidemiological, experimental, and pathological studies have generated evidence for the complexity and possible polymicrobial causality in dementia-inducing diseases. The AD pathogen hypothesis states that pathogens and microbes act as triggers, interacting with genetic factors to initiate the accumulation of Aβ, hyperphosphorylated tau protein (p-tau), and inflammation in the brain. Evidence indicates that Borrelia sp., HSV-1, VZV (HHV-2), HHV-6/7, oral pathogens, Chlamydophila pneumoniae, and Candida albicans can infect the central nervous system (CNS), evade the immune system, and consequently prevail in the AD brain. Researchers have made significant progress in understanding the multifactorial and overlapping factors that are thought to take part in the etiopathogenesis of dementia; however, the cause of AD remains unclear.
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136
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Moayedi K, Orandi S, Ebrahimi R, Tanhapour M, Moradi M, Abbastabar M, Golestani A. A novel approach to type 3 diabetes mechanism: The interplay between noncoding RNAs and insulin signaling pathway in Alzheimer's disease. J Cell Physiol 2022; 237:2838-2861. [PMID: 35580144 DOI: 10.1002/jcp.30779] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/05/2022] [Accepted: 04/27/2022] [Indexed: 12/06/2022]
Abstract
Today, growing evidence indicates that patients with type 2 diabetes (T2D) are at a higher risk of developing Alzheimer's disease (AD). Indeed, AD as one of the main causes of dementia in people aged more than 65 years can be aggravated by insulin resistance (IR) and other metabolic risk factors related to T2D which are also linked to the function of the brain. Remarkably, a new term called "type 3 diabetes" has been suggested for those people who are diagnosed with AD while also showing the symptoms of IR and T2D. In this regard, the role of genetic and epigenetic changes associated with AD has been confirmed by many studies. On the other hand, it should be noted that the insulin signaling pathway is highly regulated by various mechanisms, including epigenetic factors. Among these, the role of noncoding RNAs (ncRNAs), including microRNAs and long noncoding RNAs has been comprehensively studied with respect to the pathology of AD and the most well-known underlying mechanisms. Nevertheless, the number of studies exploring the association between ncRNAs and the downstream targets of the insulin signaling pathway in the development of AD has notably increased in recent years. With this in view, the present study aimed to review the interplay between different ncRNAs and the insulin signaling pathway targets in the pathogenesis of AD to find a new approach in the field of combining biomarkers or therapeutic targets for this disease.
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Affiliation(s)
- Kiana Moayedi
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Shirin Orandi
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Reyhane Ebrahimi
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Tanhapour
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mona Moradi
- Pediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Maryam Abbastabar
- Department of Clinical Biochemistry, School of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Abolfazl Golestani
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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137
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Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12105035] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disease characterized by rapid brain cell degeneration affecting different areas of the brain. Hippocampus is one of the earliest involved brain regions in the disease. Modern technologies based on high-throughput data have identified transcriptional profiling of several neurological diseases, including AD, for a better comprehension of genetic mechanisms of the disease. In this study, we investigated differentially expressed genes (DEGs) from six Gene Expression Omnibus (GEO) datasets of hippocampus of AD patients. The identified DEGs were submitted to Weighted correlation network analysis (WGCNA) and ClueGo to explore genes with a higher degree centrality and to comprehend their biological role. Subsequently, MCODE was used to identify subnetworks of interconnected DEGs. Our study found 40 down-regulated genes and 36 up-regulated genes as consensus DEGs. Analysis of the co-expression network revealed ACOT7, ATP8A2, CDC42, GAD1, GOT1, INA, NCALD, and WWTR1 to be genes with a higher degree centrality. ClueGO revealed the pathways that were mainly enriched, such as clathrin coat assembly, synaptic vesicle endocytosis, and DNA damage response signal transduction by p53 class mediator. In addition, we found a subnetwork of 12 interconnected genes (AMPH, CA10, CALY, NEFL, SNAP25, SNAP91, SNCB, STMN2, SV2B, SYN2, SYT1, and SYT13). Only CA10 and CALY are targets of known drugs while the others could be potential novel drug targets.
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138
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Dolotov OV, Inozemtseva LS, Myasoedov NF, Grivennikov IA. Stress-Induced Depression and Alzheimer's Disease: Focus on Astrocytes. Int J Mol Sci 2022; 23:4999. [PMID: 35563389 PMCID: PMC9104432 DOI: 10.3390/ijms23094999] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
Neurodegenerative diseases and depression are multifactorial disorders with a complex and poorly understood physiopathology. Astrocytes play a key role in the functioning of neurons in norm and pathology. Stress is an important factor for the development of brain disorders. Here, we review data on the effects of stress on astrocyte function and evidence of the involvement of astrocyte dysfunction in depression and Alzheimer's disease (AD). Stressful life events are an important risk factor for depression; meanwhile, depression is an important risk factor for AD. Clinical data indicate atrophic changes in the same areas of the brain, the hippocampus and prefrontal cortex (PFC), in both pathologies. These brain regions play a key role in regulating the stress response and are most vulnerable to the action of glucocorticoids. PFC astrocytes are critically involved in the development of depression. Stress alters astrocyte function and can result in pyroptotic death of not only neurons, but also astrocytes. BDNF-TrkB system not only plays a key role in depression and in normalizing the stress response, but also appears to be an important factor in the functioning of astrocytes. Astrocytes, being a target for stress and glucocorticoids, are a promising target for the treatment of stress-dependent depression and AD.
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Affiliation(s)
- Oleg V. Dolotov
- Institute of Molecular Genetics of National Research Centre “Kurchatov Institute”, 123182 Moscow, Russia; (O.V.D.); (L.S.I.); (N.F.M.)
- Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory, 119234 Moscow, Russia
| | - Ludmila S. Inozemtseva
- Institute of Molecular Genetics of National Research Centre “Kurchatov Institute”, 123182 Moscow, Russia; (O.V.D.); (L.S.I.); (N.F.M.)
| | - Nikolay F. Myasoedov
- Institute of Molecular Genetics of National Research Centre “Kurchatov Institute”, 123182 Moscow, Russia; (O.V.D.); (L.S.I.); (N.F.M.)
| | - Igor A. Grivennikov
- Institute of Molecular Genetics of National Research Centre “Kurchatov Institute”, 123182 Moscow, Russia; (O.V.D.); (L.S.I.); (N.F.M.)
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139
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What contribution can genetics make to predict the risk of Alzheimer's disease? Rev Neurol (Paris) 2022; 178:414-421. [PMID: 35491248 DOI: 10.1016/j.neurol.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 03/08/2022] [Indexed: 11/20/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder. Although its etiology remains incompletely understood, genetic variants are important contributors. The prediction of AD risk through individual genetic variants is an important topic of research that may have individual and societal consequences when preventive treatments will become available. However, the genetic substratum of AD is heterogeneous. In addition to the extremely rare and fully penetrant pathogenic variants of the PSEN1, PSEN2 or APP genes causing autosomal dominant AD, a large spectrum of risk factors have been identified in complex forms, including the common risk factor APOEɛ4, which is associated with a moderate-to-high risk, common polymorphisms associated with a modest individual risk, and a plethora of rare variants in genes like SORL1, TREM2 or ABCA7 with moderate to high-magnitude effect. Understanding how these genetic factors contribute to AD risk in a given individual, in additional to non-genetic factors, remains a challenge. Over the last 10 years, age-related penetrance curves have progressively incorporated advances in the knowledge of AD genetics, from APOE to common polygenic components and, currently, SORL1 rare variants, which represents an important step towards precision medicine in AD. In this review, we present the complex genetic architecture of AD and we expose the prediction of AD risk according to its underlying genetic component.
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140
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Altuna M, Larumbe R, Zelaya MV, Moreno S, García-Solaesa V, Mendioroz M, Ramos MA, Erro ME. Progressive cognitive impairment and familial spastic paraparesis due to PRESENILIN 1 mutation: anatomoclinical characterization. J Neurol 2022; 269:4853-4862. [PMID: 35438347 DOI: 10.1007/s00415-022-11125-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Autosomal dominant Alzheimer's disease (ADAD) due to presenilin 1 (PSEN1) mutation can induce atypical neurological symptoms such as movement disorders and epileptic seizures in the context of early-onset progressive cognitive impairment. METHODS This study includes the anatomoclinical description of three patients of two generations of the same family with movement disorders and progressive cognitive impairment. All were evaluated by trained neurologists, underwent protocolized neuropsychological evaluation, and were assessed by structural (magnetic resonance) and functional (SPECT, PET-18FDG, or PET-18F-Florbetapir) brain imaging tests. A molecular genetic study was performed for all patients, and post-mortem confirmatory anatomopathological evaluation for one of them. RESULTS The three female patients had an age of onset of symptoms of 38-51 years. All developed progressive multidomain cognitive impairment, paraparesis, and dysarthria, two with ophthalmoparesis and one with untriggered epileptic seizures since early stages. Bilateral cortical fronto-parietal atrophy and global cortical hypoperfusion or posterior bilateral hypometabolism were detected. PET-18F-Florbetapir, when performed, was positive for amyloid cortical deposit. The molecular genetic study confirmed the PSEN1 mutation c.869-2 A>G. Postmortem study of one of them confirmed Alzheimer's disease anatomopathological features with classic cotton wool plaques (CWP), including coexistence of amyloid angiopathy and Lewy body co-pathology. DISCUSSION The phenotype of ADAD due to PSEN1 mutations is very heterogeneous between and across the same family. Family history assessment should include information not only about cognitive decline, but also about movement disorders and untriggered epileptic seizures. Further studies are needed to identify genetic or epigenetic factors that determine phenotypic diversity in this disease.
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Affiliation(s)
- Miren Altuna
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain. .,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain. .,CITA-Alzheimer Foundation, Donostia-San Sebastián, Spain.
| | - Rosa Larumbe
- Department of Neurology, Hospital Universitario de Navarra, Pamplona, Spain.,Neuroepigenetics Laboratory-Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA (Navarra Institute for Health Research), Pamplona, Spain
| | - María Victoria Zelaya
- Department of Pathological Anatomy, Hospital Universitario de Navarra, Pamplona, Spain
| | - Sira Moreno
- Department of Genetics, Hospital Universitario de Navarra, Pamplona, Spain
| | | | - Maite Mendioroz
- Department of Neurology, Hospital Universitario de Navarra, Pamplona, Spain.,Neuroepigenetics Laboratory-Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA (Navarra Institute for Health Research), Pamplona, Spain
| | | | - María Elena Erro
- Department of Neurology, Hospital Universitario de Navarra, Pamplona, Spain. .,Neuroepigenetics Laboratory-Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA (Navarra Institute for Health Research), Pamplona, Spain.
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141
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Sirin S, Nigdelioglu Dolanbay S, Aslim B. The relationship of early- and late-onset Alzheimer’s disease genes with COVID-19. J Neural Transm (Vienna) 2022; 129:847-859. [PMID: 35429259 PMCID: PMC9012910 DOI: 10.1007/s00702-022-02499-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/02/2022] [Indexed: 12/13/2022]
Abstract
Individuals with Alzheimer’s disease and other neurodegenerative diseases have been exposed to excess risk by the COVID-19 pandemic. COVID-19’s main manifestations include high body temperature, dry cough, and exhaustion. Nevertheless, some affected individuals may have an atypical presentation at diagnosis but suffer neurological signs and symptoms as the first disease manifestation. These findings collectively show the neurotropic nature of SARS-CoV-2 virus and its ability to involve the central nervous system. In addition, Alzheimer’s disease and COVID-19 has a number of common risk factors and comorbid conditions including age, sex, hypertension, diabetes, and the expression of APOE ε4. Until now, a plethora of studies have examined the COVID-19 disease but only a few studies has yet examined the relationship of COVID-19 and Alzheimer’s disease as risk factors of each other. This review emphasizes the recently published evidence on the role of the genes of early- or late-onset Alzheimer’s disease in the susceptibility of individuals currently suffering or recovered from COVID-19 to Alzheimer’s disease or in the susceptibility of individuals at risk of or with Alzheimer’s disease to COVID-19 or increased COVID-19 severity and mortality. Furthermore, the present review also draws attention to other uninvestigated early- and late-onset Alzheimer’s disease genes to elucidate the relationship between this multifactorial disease and COVID-19.
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142
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Ilina A, Khavinson V, Linkova N, Petukhov M. Neuroepigenetic Mechanisms of Action of Ultrashort Peptides in Alzheimer's Disease. Int J Mol Sci 2022; 23:ijms23084259. [PMID: 35457077 PMCID: PMC9032300 DOI: 10.3390/ijms23084259] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 12/23/2022] Open
Abstract
Epigenetic regulation of gene expression is necessary for maintaining higher-order cognitive functions (learning and memory). The current understanding of the role of epigenetics in the mechanism of Alzheimer’s disease (AD) is focused on DNA methylation, chromatin remodeling, histone modifications, and regulation of non-coding RNAs. The pathogenetic links of this disease are the misfolding and aggregation of tau protein and amyloid peptides, mitochondrial dysfunction, oxidative stress, impaired energy metabolism, destruction of the blood–brain barrier, and neuroinflammation, all of which lead to impaired synaptic plasticity and memory loss. Ultrashort peptides are promising neuroprotective compounds with a broad spectrum of activity and without reported side effects. The main aim of this review is to analyze the possible epigenetic mechanisms of the neuroprotective action of ultrashort peptides in AD. The review highlights the role of short peptides in the AD pathophysiology. We formulate the hypothesis that peptide regulation of gene expression can be mediated by the interaction of short peptides with histone proteins, cis- and transregulatory DNA elements and effector molecules (DNA/RNA-binding proteins and non-coding RNA). The development of therapeutic agents based on ultrashort peptides may offer a promising addition to the multifunctional treatment of AD.
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Affiliation(s)
- Anastasiia Ilina
- Department of Biogerontology, Saint Petersburg Institute of Bioregulation and Gerontology, 19711 Saint Petersburg, Russia; (V.K.); (N.L.)
- Department of General Pathology and Pathological Physiology, Institute of Experimental Medicine, 197376 Saint Petersburg, Russia
- Correspondence: ; Tel.: +7-(953)145-89-58
| | - Vladimir Khavinson
- Department of Biogerontology, Saint Petersburg Institute of Bioregulation and Gerontology, 19711 Saint Petersburg, Russia; (V.K.); (N.L.)
- Group of Peptide Regulation of Aging, Pavlov Institute of Physiology, Russian Academy of Sciences, 199034 Saint Petersburg, Russia
| | - Natalia Linkova
- Department of Biogerontology, Saint Petersburg Institute of Bioregulation and Gerontology, 19711 Saint Petersburg, Russia; (V.K.); (N.L.)
| | - Mikhael Petukhov
- Department of Molecular Radiation Biophysics, Petersburg Nuclear Physics Institute Named after B.P. Konstantinov, NRC “Kurchatov Institute”, 188300 Gatchina, Russia;
- Group of Biophysics, Higher Engineering and Technical School, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia
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Ozgen S, Krigman J, Zhang R, Sun N. Significance of mitochondrial activity in neurogenesis and neurodegenerative diseases. Neural Regen Res 2022; 17:741-747. [PMID: 34472459 PMCID: PMC8530128 DOI: 10.4103/1673-5374.322429] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/13/2021] [Accepted: 03/13/2021] [Indexed: 12/11/2022] Open
Abstract
Mitochondria play a multidimensional role in the function and the vitality of the neurological system. From the generation of neural stem cells to the maintenance of neurons and their ultimate demise, mitochondria play a critical role in regulating our neural pathways' homeostasis, a task that is critical to our cognitive health and neurological well-being. Mitochondria provide energy via oxidative phosphorylation for the neurotransmission and generation of an action potential along the neuron's axon. This paper will first review and examine the molecular subtleties of the mitochondria's role in neurogenesis and neuron vitality, as well as outlining the impact of defective mitochondria in neural aging. The authors will then summarize neurodegenerative diseases related to either neurogenesis or homeostatic dysfunction. Because of the significant detriment neurodegenerative diseases have on the quality of life, it is essential to understand their etiology and ongoing molecular mechanics. The mitochondrial role in neurogenesis and neuron vitality is essential. Dissecting and understanding this organelle's role in the genesis and homeostasis of neurons should assist in finding pharmaceutical targets for neurodegenerative diseases.
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Affiliation(s)
- Serra Ozgen
- Departments of Physiology and Cell Biology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- College of Medicine, Graduate Research in the Department of Neuroscience, The Ohio State University, Columbus, OH, USA
| | - Judith Krigman
- Departments of Physiology and Cell Biology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Ruohan Zhang
- Departments of Physiology and Cell Biology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- College of Pharmacy, Department of Graduate Research, The Ohio State University, Columbus, OH, USA
| | - Nuo Sun
- Departments of Physiology and Cell Biology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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144
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AmazonForest: In Silico Metaprediction of Pathogenic Variants. BIOLOGY 2022; 11:biology11040538. [PMID: 35453737 PMCID: PMC9024711 DOI: 10.3390/biology11040538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/19/2022] [Accepted: 03/02/2022] [Indexed: 11/17/2022]
Abstract
Simple Summary ClinVar is a valuable platform that stores a large set of relevant genetic associations with complex phenotypes. However, the functional impact of a partial set of such associations remains misinterpreted, due to the presence of variants with uncertain significance or with conflicting pathogenicity interpretations. To fill this gap, we present AmazonForest: a metaprediction model based on Random Forest for pathogenicity prediction. AmazonForest was used to reclassify a set of ∼101,000 variants that were predicted as having high pathogenic probability. AmazonForest is available as a web tool with a simple web interface, and also as an R object for pathogenicity predictions. Abstract ClinVar is a web platform that stores ∼789,000 genetic associations with complex diseases. A partial set of these cataloged genetic associations has challenged clinicians and geneticists, often leading to conflicting interpretations or uncertain clinical impact significance. In this study, we addressed the (re)classification of genetic variants by AmazonForest, which is a random-forest-based pathogenicity metaprediction model that works by combining functional impact data from eight prediction tools. We evaluated the performance of representation learning algorithms such as autoencoders to propose a better strategy. All metaprediction models were trained with ClinVar data, and genetic variants were annotated with eight functional impact predictors cataloged with SnpEff/SnpSift. AmazonForest implements the best random forest model with a one hot data-encoding strategy, which shows an Area Under ROC Curve of ≥0.93. AmazonForest was employed for pathogenicity prediction of a set of ∼101,000 genetic variants of uncertain significance or conflict of interpretation. Our findings revealed ∼24,000 variants with high pathogenic probability (RFprob≥0.9). In addition, we show results for Alzheimer’s Disease as a demonstration of its application in clinical interpretation of genetic variants in complex diseases. Lastly, AmazonForest is available as a web tool and R object that can be loaded to perform pathogenicity predictions.
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145
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New pathogenic insights from large animal models of neurodegenerative diseases. Protein Cell 2022; 13:707-720. [PMID: 35334073 PMCID: PMC9233730 DOI: 10.1007/s13238-022-00912-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/23/2022] [Indexed: 12/12/2022] Open
Abstract
Animal models are essential for investigating the pathogenesis and developing the treatment of human diseases. Identification of genetic mutations responsible for neurodegenerative diseases has enabled the creation of a large number of small animal models that mimic genetic defects found in the affected individuals. Of the current animal models, rodents with genetic modifications are the most commonly used animal models and provided important insights into pathogenesis. However, most of genetically modified rodent models lack overt neurodegeneration, imposing challenges and obstacles in utilizing them to rigorously test the therapeutic effects on neurodegeneration. Recent studies that used CRISPR/Cas9-targeted large animal (pigs and monkeys) have uncovered important pathological events that resemble neurodegeneration in the patient’s brain but could not be produced in small animal models. Here we highlight the unique nature of large animals to model neurodegenerative diseases as well as the limitations and challenges in establishing large animal models of neurodegenerative diseases, with focus on Huntington disease, Amyotrophic lateral sclerosis, and Parkinson diseases. We also discuss how to use the important pathogenic insights from large animal models to make rodent models more capable of recapitulating important pathological features of neurodegenerative diseases.
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146
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Xia LY, Tang L, Huang H, Luo J. Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's Disease. Front Aging Neurosci 2022; 14:752858. [PMID: 35401145 PMCID: PMC8985410 DOI: 10.3389/fnagi.2022.752858] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 02/21/2022] [Indexed: 01/16/2023] Open
Abstract
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. To identify AD-related genes from transcriptomics and help to develop new drugs to treat AD. In this study, firstly, we obtained differentially expressed genes (DEG)-enriched coexpression networks between AD and normal samples in multiple transcriptomics datasets by weighted gene co-expression network analysis (WGCNA). Then, a convergent genomic approach (CFG) integrating multiple AD-related evidence was used to prioritize potential genes from DEG-enriched modules. Subsequently, we identified candidate genes in the potential genes list. Lastly, we combined deepDTnet and SAveRUNNER to predict interaction among candidate genes, drug and AD. Experiments on five datasets show that the CFG score of GJA1 is the highest among all potential driver genes of AD. Moreover, we found GJA1 interacts with AD from target-drugs-diseases network prediction. Therefore, candidate gene GJA1 is the most likely to be target of AD. In summary, identification of AD-related genes contributes to the understanding of AD pathophysiology and the development of new drugs.
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147
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Nishi M, Sugio S, Hirano T, Kato D, Wake H, Shoda A, Murata M, Ikenaka Y, Tabuchi Y, Mantani Y, Yokoyama T, Hoshi N. Elucidation of the neurological effects of clothianidin exposure at the no-observed-adverse-effect level (NOAEL) using two-photon microscopy in vivo imaging. J Vet Med Sci 2022; 84:585-592. [PMID: 35264496 PMCID: PMC9096047 DOI: 10.1292/jvms.22-0013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Neonicotinoid pesticides (NNs) cause behavioral abnormalities in mammals, raising
concerns about their effects on neural circuit activity. We herein examined the
neurological effects of the NN clothianidin (CLO) by in vivo
Ca2+ imaging using two-photon microscopy. Mice were fed the
no-observed-adverse-effect-level (NOAEL) dose of CLO for 2 weeks and their neuronal
activity in the primary somatosensory cortex (S1) was observed weekly for 2 weeks. CLO
exposure caused a sustained influx of Ca2+ in neurons in the S1 2/3 layers,
indicating hyperactivation of neurons. In addition, microarray gene expression analysis
suggested the induction of neuroinflammation and changes in synaptic activity. These
results demonstrate that exposure to the NOAEL dose of CLO can overactivate neurons and
disrupt neuronal homeostasis.
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Affiliation(s)
- Misaki Nishi
- Laboratory of Animal Molecular Morphology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
| | - Shouta Sugio
- Department of Anatomy and Molecular Cell Biology, Graduate School of Medicine, Nagoya University
| | | | - Daisuke Kato
- Department of Anatomy and Molecular Cell Biology, Graduate School of Medicine, Nagoya University
| | - Hiroaki Wake
- Department of Anatomy and Molecular Cell Biology, Graduate School of Medicine, Nagoya University
| | - Asuka Shoda
- Laboratory of Animal Molecular Morphology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
| | - Midori Murata
- Laboratory of Animal Molecular Morphology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
| | - Yoshinori Ikenaka
- Laboratory of Toxicology, Department of Environmental Veterinary Sciences, Faculty of Veterinary Medicine, Hokkaido University.,Translational Research Unit, Veterinary Teaching Hospital, Faculty of Veterinary Medicine, Hokkaido University.,One Health Research Center, Hokkaido University.,Water Research Group, Unit for Environmental Sciences and Management, North-West University
| | | | - Youhei Mantani
- Laboratory of Histophysiology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
| | - Toshifumi Yokoyama
- Laboratory of Animal Molecular Morphology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
| | - Nobuhiko Hoshi
- Laboratory of Animal Molecular Morphology, Department of Animal Science, Graduate School of Agricultural Science, Kobe University
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148
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Acosta-Uribe J, Aguillón D, Cochran JN, Giraldo M, Madrigal L, Killingsworth BW, Singhal R, Labib S, Alzate D, Velilla L, Moreno S, García GP, Saldarriaga A, Piedrahita F, Hincapié L, López HE, Perumal N, Morelo L, Vallejo D, Solano JM, Reiman EM, Surace EI, Itzcovich T, Allegri R, Sánchez-Valle R, Villegas-Lanau A, White CL, Matallana D, Myers RM, Browning SR, Lopera F, Kosik KS. A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects. Genome Med 2022; 14:27. [PMID: 35260199 PMCID: PMC8902761 DOI: 10.1186/s13073-022-01035-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 02/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Colombian population, as well as those in other Latin American regions, arose from a recent tri-continental admixture among Native Americans, Spanish invaders, and enslaved Africans, all of whom passed through a population bottleneck due to widespread infectious diseases that left small isolated local settlements. As a result, the current population reflects multiple founder effects derived from diverse ancestries. METHODS We characterized the role of admixture and founder effects on the origination of the mutational landscape that led to neurodegenerative disorders under these historical circumstances. Genomes from 900 Colombian individuals with Alzheimer's disease (AD) [n = 376], frontotemporal lobar degeneration-motor neuron disease continuum (FTLD-MND) [n = 197], early-onset dementia not otherwise specified (EOD) [n = 73], and healthy participants [n = 254] were analyzed. We examined their global and local ancestry proportions and screened this cohort for deleterious variants in disease-causing and risk-conferring genes. RESULTS We identified 21 pathogenic variants in AD-FTLD related genes, and PSEN1 harbored the majority (11 pathogenic variants). Variants were identified from all three continental ancestries. TREM2 heterozygous and homozygous variants were the most common among AD risk genes (102 carriers), a point of interest because the disease risk conferred by these variants differed according to ancestry. Several gene variants that have a known association with MND in European populations had FTLD phenotypes on a Native American haplotype. Consistent with founder effects, identity by descent among carriers of the same variant was frequent. CONCLUSIONS Colombian demography with multiple mini-bottlenecks probably enhanced the detection of founder events and left a proportionally higher frequency of rare variants derived from the ancestral populations. These findings demonstrate the role of genomically defined ancestry in phenotypic disease expression, a phenotypic range of different rare mutations in the same gene, and further emphasize the importance of inclusiveness in genetic studies.
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Affiliation(s)
- Juliana Acosta-Uribe
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - David Aguillón
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | | | - Margarita Giraldo
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
- Instituto Neurológico de Colombia (INDEC), Medellín, Colombia
| | - Lucía Madrigal
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Bradley W Killingsworth
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Rijul Singhal
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Sarah Labib
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Diana Alzate
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Lina Velilla
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Sonia Moreno
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Gloria P García
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Amanda Saldarriaga
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Piedrahita
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Liliana Hincapié
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Hugo E López
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Nithesh Perumal
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Leonilde Morelo
- Department of Internal Medicine, School of Medicine, Universidad del Sinú, Montería, Colombia
| | - Dionis Vallejo
- Department of Neurology, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Juan Marcos Solano
- Department of Neurology, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | | | - Ezequiel I Surace
- Laboratorio de Enfermedades Neurodegenerativas (Fleni-CONICET), Buenos Aires, Argentina
| | - Tatiana Itzcovich
- Laboratorio de Enfermedades Neurodegenerativas (Fleni-CONICET), Buenos Aires, Argentina
| | - Ricardo Allegri
- Centro de Memoria y Envejecimiento (Fleni-CONICET), Buenos Aires, Argentina
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, IDIBAPS and University of Barcelona, Barcelona, Spain
| | - Andrés Villegas-Lanau
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Charles L White
- Neuropathology Section, Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Diana Matallana
- Instituto de Envejecimiento, Department of Psychiatry, School of Medicine, Pontifical Xaverian University, Bogotá, Colombia
- Department of Mental Health, Hospital Universitario Santa Fe de Bogotá, Bogotá, Colombia
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia.
| | - Kenneth S Kosik
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA.
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149
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Jungbauer G, Stähli A, Zhu X, Auber Alberi L, Sculean A, Eick S. Periodontal microorganisms and Alzheimer disease - A causative relationship? Periodontol 2000 2022; 89:59-82. [PMID: 35244967 PMCID: PMC9314828 DOI: 10.1111/prd.12429] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/07/2021] [Accepted: 12/21/2021] [Indexed: 01/10/2023]
Abstract
In the initiation or exacerbation of Alzheimer disease, the dissemination of oral microorganisms into the brain tissue or the low‐level systemic inflammation have been speculated to play a role. However, the impact of oral microorganisms, such as Porphyromonas gingivalis, on the pathogenesis of Alzheimer disease and the potential causative relationship is still unclear. The present review has critically reviewed the literature by examining the following aspects: (a) the oral microbiome and the immune response in the elderly population, (b) human studies on the association between periodontal and gut microorganisms and Alzheimer disease, (c) animal and in vitro studies on microorganisms and Alzheimer disease, and (d) preventive and therapeutic approaches. Factors contributing to microbial dysbiosis seem to be aging, local inflammation, systemic diseases, wearing of dentures, living in nursing homes and no access to adequate oral hygiene measures. Porphyromonas gingivalis was detectable in post‐mortem brain samples. Microbiome analyses of saliva samples or oral biofilms showed a decreased microbial diversity and a different composition in Alzheimer disease compared to cognitively healthy subjects. Many in‐vitro and animal studies underline the potential of P gingivalis to induce Alzheimer disease‐related alterations. In animal models, recurring applications of P gingivalis or its components increased pro‐inflammatory mediators and β‐amyloid in the brain and deteriorated the animals' cognitive performance. Since periodontitis is the result of a disturbed microbial homoeostasis, an effect of periodontal therapy on the oral microbiome and host response related to cognitive parameters may be suggested and should be elucidated in further clinical trials.
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Affiliation(s)
- Gert Jungbauer
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland.,Private Dental Practice, Straubing, Germany
| | - Alexandra Stähli
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | - Xilei Zhu
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | | | - Anton Sculean
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | - Sigrun Eick
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
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150
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Zhu W, Zhou Y, Wang Q, Li J, Chu S, Jin W, Mao C, Dong L, Gao J, Xu Q. Generation of a human induced pluripotent stem cell (iPSC) line from skin fibroblasts of a patient carrying an E363Q mutation in PSEN1 gene. Stem Cell Res 2022; 61:102769. [DOI: 10.1016/j.scr.2022.102769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/26/2022] [Indexed: 10/18/2022] Open
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