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Bhadane P, Roul K, Belemkar S, Kumar D. Immunotherapeutic approaches for Alzheimer's disease: Exploring active and passive vaccine progress. Brain Res 2024; 1840:149018. [PMID: 38782231 DOI: 10.1016/j.brainres.2024.149018] [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] [Received: 01/12/2024] [Revised: 05/07/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
Alzheimer's disease (AD) is the most common neurodegeneration having non-effective treatments. Vaccines or monoclonal antibodies are two typical immunotherapies for AD. Due to Aβ neurotoxicity, most of the treatments target its generation and deposition. However, therapies that specifically target tau protein are also being investigated. UB311 vaccine generates N-terminal anti-Aβ antibodies, that neutralize Aβ toxicity and promote plaque clearance. It is designed to elicit specific B-cell and wide T-cell responses. ACC001 or PF05236806 vaccine has the same Aβ fragment and QS21 as an adjuvant. CAD106 stimulates response against Aβ1-6. However, Nasopharyngitis and injection site erythema are its side effects. AN1792, the first-generation vaccine was formulated in proinflammatory QS21 adjuvant. However, T-cell epitopes are omitted from the developed epitope AD vaccine with Aβ1-42B-cell epitopes. The first-generation vaccine immune response was immensely successful in clearing Aβ, but it was also sufficient to provoke meningoencephalitis. Immunotherapies have been at the forefront of these initiatives in recent years. The review covers the recent updates on active and passive immunotherapy for AD.
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Affiliation(s)
- Priyanshu Bhadane
- School of Pharmacy & Technology Management, SVKM's NMIMS University, Mukesh Patel Technology Park, Shirpur 425405, India
| | - Krishnashish Roul
- School of Pharmacy & Technology Management, SVKM's NMIMS University, Mukesh Patel Technology Park, Shirpur 425405, India
| | - Sateesh Belemkar
- Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS Deemed to be University, Vile Parle (W) Mumbai 400 056, India
| | - Devendra Kumar
- School of Pharmacy & Technology Management, SVKM's NMIMS University, Mukesh Patel Technology Park, Shirpur 425405, India.
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2
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Thai NM, Dat TTH, Hai NTT, Bui TQ, Phu NV, Quy PT, Triet NT, Pham DT, De Tran V, Nhung NTA. Identification of potential inhibitors against Alzheimer-related proteins in Cordyceps militaris ethanol extract: experimental evidence and computational analyses. 3 Biotech 2023; 13:292. [PMID: 37547918 PMCID: PMC10403485 DOI: 10.1007/s13205-023-03714-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 07/22/2023] [Indexed: 08/08/2023] Open
Abstract
Laboratory experiments were carried out to identify the chemical composition of Cordyceps militaris and reveal the first evidence of their Alzheimer-related potential. Liquid chromatography-mass spectrometry analysis identified 21 bioactive compounds in the ethanol extract (1-21). High-performance liquid chromatography quantified the content of cordycepin (0.32%). Bioassays revealed the overall anti-Alzheimer potential of the extract against acetylcholinesterase (IC50 = 115.9 ± 11.16 µg mL-1). Multi-platform computations were utilized to predict the biological inhibitory effects of its phytochemical components against Alzheimer-related protein structures: acetylcholinesterase (PDB-4EY7) and β-amyloid protein (PDB-2LMN). In particular, 7 is considered as a most effective inhibitor predicted by its chemical stability in dipole-based environments (ground state - 467.26302 a.u.; dipole moment 11.598 Debye), inhibitory effectiveness (DS ¯ - 13.6 kcal mol-1), polarized compatibility (polarizability 25.8 Å3; logP - 1.01), and brain penetrability (logBB - 0.244; logPS - 3.047). Besides, 3 is promising as a brain-penetrating agent (logBB - 0.257; logPS - 2.400). The results preliminarily suggest further experimental attempts to verify the pro-cognitive effects of l(-)-carnitine (7). Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03714-9.
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Affiliation(s)
- Nguyen Minh Thai
- Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 700000 Vietnam
| | - Ton That Huu Dat
- Mientrung Institute for Scientific Research, Vietnam National Museum of Nature, Vietnam Academy of Science and Technology (VAST), Hue, 530000 Vietnam
| | - Nguyen Thi Thanh Hai
- Department of Chemistry, University of Sciences, Hue University, Hue, 530000 Vietnam
| | - Thanh Q. Bui
- Department of Chemistry, University of Sciences, Hue University, Hue, 530000 Vietnam
| | - Nguyen Vinh Phu
- Faculty of Basic Sciences, University of Medicine and Pharmacy, Hue University, Hue, 530000 Vietnam
| | - Phan Tu Quy
- Tay Nguyen University, Buon Ma Thuot, Dak Lak 630000 Vietnam
| | - Nguyen Thanh Triet
- Faculty of Traditional Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 70000 Vietnam
| | - Duy Toan Pham
- Department of Chemistry, College of Natural Sciences, Can Tho University, Campus II, 3/2 Street, Can Tho, 900000 Vietnam
| | - Van De Tran
- Department of Health Organization and Management, Can Tho University of Medicine and Pharmacy, 179 Nguyen Van Cu, Can Tho, 900000 Vietnam
| | - Nguyen Thi Ai Nhung
- Department of Chemistry, University of Sciences, Hue University, Hue, 530000 Vietnam
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3
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Brini S, Sohrabi HR, Hebert JJ, Forrest MRL, Laine M, Hämäläinen H, Karrasch M, Peiffer JJ, Martins RN, Fairchild TJ. Bilingualism Is Associated with a Delayed Onset of Dementia but Not with a Lower Risk of Developing it: a Systematic Review with Meta-Analyses. Neuropsychol Rev 2020; 30:1-24. [PMID: 32036490 PMCID: PMC7089902 DOI: 10.1007/s11065-020-09426-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 01/03/2020] [Indexed: 12/14/2022]
Abstract
Some studies have linked bilingualism with a later onset of dementia, Alzheimer's disease (AD), and mild cognitive impairment (MCI). Not all studies have observed such relationships, however. Differences in study outcomes may be due to methodological limitations and the presence of confounding factors within studies such as immigration status and level of education. We conducted the first systematic review with meta-analysis combining cross-sectional studies to explore if bilingualism might delay symptom onset and diagnosis of dementia, AD, and MCI. Primary outcomes included the age of symptom onset, the age at diagnosis of MCI or dementia, and the risk of developing MCI or dementia. A secondary outcome included the degree of disease severity at dementia diagnosis. There was no difference in the age of MCI diagnosis between monolinguals and bilinguals [mean difference: 3.2; 95% confidence intervals (CI): -3.4, 9.7]. Bilinguals vs. monolinguals reported experiencing AD symptoms 4.7 years (95% CI: 3.3, 6.1) later. Bilinguals vs. monolinguals were diagnosed with dementia 3.3 years (95% CI: 1.7, 4.9) later. Here, 95% prediction intervals showed a large dispersion of effect sizes (-1.9 to 8.5). We investigated this dispersion with a subgroup meta-analysis comparing studies that had recruited participants with dementia to studies that had recruited participants with AD on the age of dementia and AD diagnosis between mono- and bilinguals. Results showed that bilinguals vs. monolinguals were 1.9 years (95% CI: -0.9, 4.7) and 4.2 (95% CI: 2.0, 6.4) older than monolinguals at the time of dementia and AD diagnosis, respectively. The mean difference between the two subgroups was not significant. There was no significant risk reduction (odds ratio: 0.89; 95% CI: 0.68-1.16) in developing dementia among bilinguals vs. monolinguals. Also, there was no significant difference (Hedges' g = 0.05; 95% CI: -0.13, 0.24) in disease severity at dementia diagnosis between bilinguals and monolinguals, despite bilinguals being significantly older. The majority of studies had adjusted for level of education suggesting that education might not have played a role in the observed delay in dementia among bilinguals vs. monolinguals. Although findings indicated that bilingualism was on average related to a delayed onset of dementia, the magnitude of this relationship varied across different settings. This variation may be due to unexplained heterogeneity and different sources of bias in the included studies. Registration: PROSPERO CRD42015019100.
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Affiliation(s)
- Stefano Brini
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia.
- Turku Brain and Mind Center, Turku, Finland.
- Health Services Research and Management School of Health Sciences, City, University of London, London, UK.
- Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland.
| | - Hamid R Sohrabi
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Department of Biomedical Sciences, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Jeffrey J Hebert
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia
- Faculty of Kinesiology, University of New Brunswick, Fredericton, Canada
| | - Mitchell R L Forrest
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia
| | - Matti Laine
- Turku Brain and Mind Center, Turku, Finland
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Heikki Hämäläinen
- Turku Brain and Mind Center, Turku, Finland
- Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Jeremiah J Peiffer
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia
| | - Ralph N Martins
- School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Department of Biomedical Sciences, Macquarie University, Macquarie Park, New South Wales, Australia
- Australian Alzheimer's Research Foundation, Perth, Western Australia, Australia
| | - Timothy J Fairchild
- Discipline of Psychology, Exercise Science, Chiropractic and Counselling, Murdoch University, Perth, Western Australia, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, Western Australia, Australia
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Hou TT, Yang HY, Wang W, Wu QQ, Tian YR, Jia JP. Sulforaphane Inhibits the Generation of Amyloid-β Oligomer and Promotes Spatial Learning and Memory in Alzheimer's Disease (PS1V97L) Transgenic Mice. J Alzheimers Dis 2019; 62:1803-1813. [PMID: 29614663 DOI: 10.3233/jad-171110] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Abnormal amyloid-β (Aβ) aggregates are a striking feature of Alzheimer's disease (AD), and Aβ oligomers have been proven to be crucial in the pathology of AD. Any intervention targeting the generation or aggregation of Aβ can be expected to be useful in AD treatment. Oxidative stress and inflammation are common pathological changes in AD that are involved in the generation and aggregation of Aβ. In the present study, 6-month-old PS1V97L transgenic (Tg) mice were treated with sulforaphane, an antioxidant, for 4 months, and this treatment significantly inhibited the generation and aggregation of Aβ. Sulforaphane also alleviated several downstream pathological changes that including tau hyperphosphorylation, oxidative stress, and neuroinflammation. Most importantly, the cognition of the sulforaphane-treated PS1V97L Tg mice remained normal compared to that of wild-type mice at 10 months of age, when dementia typically emerges in PS1V97L Tg mice. Pretreating cultured cortical neurons with sulforaphane also protected against neuronal injury caused by Aβ oligomers in vitro. These findings suggest that sulforaphane may be a potential compound that can inhibit Aβ oligomer production in AD.
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Affiliation(s)
- Ting-Ting Hou
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China
| | - He-Yun Yang
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China
| | - Wei Wang
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, P.R. China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, P.R. China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, P.R. China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, P.R. China.,National Clinical Research Center for Geriatric Disorders, Beijing, P.R. China
| | - Qiao-Qi Wu
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, P.R. China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, P.R. China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, P.R. China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, P.R. China.,National Clinical Research Center for Geriatric Disorders, Beijing, P.R. China
| | - Yuan-Ruhua Tian
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China
| | - Jian-Ping Jia
- Department of Neurology, Inovation Center for Neurological Disorders, Xuan Wu Hospital, Capital Medical University, Beijing, P.R. China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, P.R. China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, P.R. China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, P.R. China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, P.R. China.,National Clinical Research Center for Geriatric Disorders, Beijing, P.R. China
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5
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Cheng Z, Yin J, Yuan H, Jin C, Zhang F, Wang Z, Liu X, Wu Y, Wang T, Xiao S. Blood-Derived Plasma Protein Biomarkers for Alzheimer's Disease in Han Chinese. Front Aging Neurosci 2018; 10:414. [PMID: 30618720 PMCID: PMC6305130 DOI: 10.3389/fnagi.2018.00414] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 11/30/2018] [Indexed: 11/13/2022] Open
Abstract
It is well known that Alzheimer's disease (AD) is one of the most common progressive neurodegenerative diseases; it begins gradually, and therefore no effective medicine is administered in the beginning. Thus, early diagnosis and prevention of AD are crucial. The present study focused on comparing the plasma protein changes between patients with AD and their healthy counterparts, aiming to explore a specific protein panel as a potential biomarker for AD patients in Han Chinese. Hence, we recruited and collected plasma samples from 98 AD patients and 101 elderly healthy controls from Wuxi and Shanghai Mental Health Centers. Using a Luminex assay, we investigated the expression levels of fifty plasma proteins in these samples. Thirty-two out of 50 proteins were found to be significantly different between AD patients and healthy controls (P < 0.05). Furthermore, an eight-protein panel that included brain-derived neurotrophic factor (BDNF), angiotensinogen (AGT), insulin-like growth factor binding protein 2 (IGFBP-2), osteopontin (OPN), cathepsin D, serum amyloid P component (SAP), complement C4, and prealbumin (transthyretin, TTR) showed the highest determinative score for AD and healthy controls (all P = 0.00). In conclusion, these findings suggest that a combination of eight plasma proteins can serve as a promising diagnostic biomarker for AD with high sensitivity and specificity in Han Chinese populations; the eight plasma proteins were proven important for AD diagnosis by further cross-validation studies within the AD cohort.
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Affiliation(s)
- Zaohuo Cheng
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Jiajun Yin
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Hongwei Yuan
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Chunhui Jin
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Fuquan Zhang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Zhiqiang Wang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Xiaowei Liu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Tao Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shifu Xiao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Gera J, Szögi T, Bozsó Z, Fülöp L, Barrera EE, Rodriguez AM, Méndez L, Delpiccolo CM, Mata EG, Cioffi F, Broersen K, Paragi G, Enriz RD. Searching for improved mimetic peptides inhibitors preventing conformational transition of amyloid-β42 monomer. Bioorg Chem 2018; 81:211-221. [DOI: 10.1016/j.bioorg.2018.08.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 08/10/2018] [Accepted: 08/13/2018] [Indexed: 01/14/2023]
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Webster L, Groskreutz D, Grinbergs-Saull A, Howard R, O’Brien JT, Mountain G, Banerjee S, Woods B, Perneczky R, Lafortune L, Roberts C, McCleery J, Pickett J, Bunn F, Challis D, Charlesworth G, Featherstone K, Fox C, Goodman C, Jones R, Lamb S, Moniz-Cook E, Schneider J, Shepperd S, Surr C, Thompson-Coon J, Ballard C, Brayne C, Burns A, Clare L, Garrard P, Kehoe P, Passmore P, Holmes C, Maidment I, Robinson L, Livingston G. Core outcome measures for interventions to prevent or slow the progress of dementia for people living with mild to moderate dementia: Systematic review and consensus recommendations. PLoS One 2017; 12:e0179521. [PMID: 28662127 PMCID: PMC5491018 DOI: 10.1371/journal.pone.0179521] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 05/31/2017] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND There are no disease-modifying treatments for dementia. There is also no consensus on disease modifying outcomes. We aimed to produce the first evidence-based consensus on core outcome measures for trials of disease modification in mild-to-moderate dementia. METHODS AND FINDINGS We defined disease-modification interventions as those aiming to change the underlying pathology. We systematically searched electronic databases and previous systematic reviews for published and ongoing trials of disease-modifying treatments in mild-to-moderate dementia. We included 149/22,918 of the references found; with 81 outcome measures from 125 trials. Trials involved participants with Alzheimer's disease (AD) alone (n = 111), or AD and mild cognitive impairment (n = 8) and three vascular dementia. We divided outcomes by the domain measured (cognition, activities of daily living, biological markers, neuropsychiatric symptoms, quality of life, global). We calculated the number of trials and of participants using each outcome. We detailed psychometric properties of each outcome. We sought the views of people living with dementia and family carers in three cities through Alzheimer's society focus groups. Attendees at a consensus conference (experts in dementia research, disease-modification and harmonisation measures) decided on the core set of outcomes using these results. Recommended core outcomes were cognition as the fundamental deficit in dementia and to indicate disease modification, serial structural MRIs. Cognition should be measured by Mini Mental State Examination or Alzheimer's Disease Assessment Scale-Cognitive Subscale. MRIs would be optional for patients. We also made recommendations for measuring important, but non-core domains which may not change despite disease modification. LIMITATIONS Most trials were about AD. Specific instruments may be superseded. We searched one database for psychometric properties. INTERPRETATION This is the first review to identify the 81 outcome measures the research community uses for disease-modifying trials in mild-to-moderate dementia. Our recommendations will facilitate designing, comparing and meta-analysing disease modification trials in mild-to-moderate dementia, increasing their value. TRIAL REGISTRATION PROSPERO no. CRD42015027346.
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Affiliation(s)
- Lucy Webster
- Division of Psychiatry, University College London, London, United Kingdom
| | - Derek Groskreutz
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | | | - Rob Howard
- Division of Psychiatry, University College London, London, United Kingdom
| | - John T. O’Brien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Gail Mountain
- ScHARR, University of Sheffield, Sheffield, United Kingdom
| | - Sube Banerjee
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Bob Woods
- Dementia Services Development Centre Wales, Bangor University, Bangor, United Kingdom
| | - Robert Perneczky
- Faculty of Medicine, School of Public Health, Imperial College London, London, United Kingdom
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
- Department of Psychiatry and Psychotherapy, Technische Universität München, Munich, Germany
| | - Louise Lafortune
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Charlotte Roberts
- International Consortium for Health Outcomes Measurement, London, United Kingdom
| | - Jenny McCleery
- Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | | | - Frances Bunn
- Centre for Research in Primary and Community Care, University of Hertfordshire, Hatfield, United Kingdom
| | - David Challis
- Personal Social Services Research Unit, University of Manchester, Manchester, United Kingdom
| | - Georgina Charlesworth
- Research Department of Clinical, Educational, and Health Psychology, University College London, London, United Kingdom
| | - Katie Featherstone
- School of Healthcare Sciences, Cardiff University, Cardiff, United Kingdom
| | - Chris Fox
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Claire Goodman
- Centre for Research in Primary and Community Care, University of Hertfordshire, Hatfield, United Kingdom
| | - Roy Jones
- Research Institute for the Care of Older People (RICE), University of Bath, Bath, United Kingdom
| | - Sarah Lamb
- Warwick Clinical Trials Research Unit, University of Warwick, Warwick, United Kingdom
| | - Esme Moniz-Cook
- Faculty of Health and Social Care, University of Hull, Hull, United Kingdom
| | - Justine Schneider
- Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
| | - Sasha Shepperd
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Claire Surr
- School of Health & Community Studies, Leeds Beckett University, Leeds, United Kingdom
| | - Jo Thompson-Coon
- PenCLAHRC, University of Exeter Medical School, Exeter, United Kingdom
| | - Clive Ballard
- Wolfson Centre for Age-Related Diseases, King’s College London, London, United Kingdom
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Alistair Burns
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Linda Clare
- PenCLAHRC, University of Exeter Medical School, Exeter, United Kingdom
- School of Psychology, University of Exeter, Exeter, United Kingdom
| | - Peter Garrard
- Neuroscience Research Centre, St. George's, University of London, London, United Kingdom
| | - Patrick Kehoe
- School of Clinical Sciences, University of Bristol, Bristol, United Kingdom
| | - Peter Passmore
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Clive Holmes
- School of Medicine, University of Southampton, Southampton, United Kingdom
| | - Ian Maidment
- Aston Research Centre for Healthy Ageing, Aston University, Birmingham, United Kingdom
| | - Louise Robinson
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Gill Livingston
- Division of Psychiatry, University College London, London, United Kingdom
- North Thames CLAHRC, London, United Kingdom
- Camden and Islington NHS Foundation Trust, London, United Kingdom
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8
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Webster L, Groskreutz D, Grinbergs-Saull A, Howard R, O'Brien JT, Mountain G, Banerjee S, Woods B, Perneczky R, Lafortune L, Roberts C, McCleery J, Pickett J, Bunn F, Challis D, Charlesworth G, Featherstone K, Fox C, Goodman C, Jones R, Lamb S, Moniz-Cook E, Schneider J, Shepperd S, Surr C, Thompson-Coon J, Ballard C, Brayne C, Burke O, Burns A, Clare L, Garrard P, Kehoe P, Passmore P, Holmes C, Maidment I, Murtagh F, Robinson L, Livingston G. Development of a core outcome set for disease modification trials in mild to moderate dementia: a systematic review, patient and public consultation and consensus recommendations. Health Technol Assess 2017; 21:1-192. [PMID: 28625273 PMCID: PMC5494514 DOI: 10.3310/hta21260] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND There is currently no disease-modifying treatment available to halt or delay the progression of the disease pathology in dementia. An agreed core set of the best-available and most appropriate outcomes for disease modification would facilitate the design of trials and ensure consistency across disease modification trials, as well as making results comparable and meta-analysable in future trials. OBJECTIVES To agree a set of core outcomes for disease modification trials for mild to moderate dementia with the UK dementia research community and patient and public involvement (PPI). DATA SOURCES We included disease modification trials with quantitative outcomes of efficacy from (1) references from related systematic reviews in workstream 1; (2) searches of the Cochrane Dementia and Cognitive Improvement Group study register, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature, EMBASE, Latin American and Caribbean Health Sciences Literature and PsycINFO on 11 December 2015, and clinical trial registries [International Standard Randomised Controlled Trial Number (ISRCTN) and clinicaltrials.gov] on 22 and 29 January 2016; and (3) hand-searches of reference lists of relevant systematic reviews from database searches. REVIEW METHODS The project consisted of four workstreams. (1) We obtained related core outcome sets and work from co-applicants. (2) We systematically reviewed published and ongoing disease modification trials to identify the outcomes used in different domains. We extracted outcomes used in each trial, recording how many used each outcome and with how many participants. We divided outcomes into the domains measured and searched for validation data. (3) We consulted with PPI participants about recommended outcomes. (4) We presented all the synthesised information at a conference attended by the wider body of National Institute for Health Research (NIHR) dementia researchers to reach consensus on a core set of outcomes. RESULTS We included 149 papers from the 22,918 papers screened, referring to 125 individual trials. Eighty-one outcomes were used across trials, including 72 scales [31 cognitive, 12 activities of daily living (ADLs), 10 global, 16 neuropsychiatric and three quality of life] and nine biological techniques. We consulted with 18 people for PPI. The conference decided that only cognition and biological markers are core measures of disease modification. Cognition should be measured by the Mini Mental State Examination (MMSE) or the Alzheimer's Disease Assessment Scale - Cognitive subscale (ADAS-Cog), and brain changes through structural magnetic resonance imaging (MRI) in a subset of participants. All other domains are important but not core. We recommend using the Neuropsychiatric Inventory for neuropsychiatric symptoms: the Disability Assessment for Dementia for ADLs, the Dementia Quality of Life Measure for quality of life and the Clinical Dementia Rating scale to measure dementia globally. LIMITATIONS Most of the trials included participants with Alzheimer's disease, so recommendations may not apply to other types of dementia. We did not conduct economic analyses. The PPI consultation was limited to members of the Alzheimer's Society Research Network. CONCLUSIONS Cognitive outcomes and biological markers form the core outcome set for future disease modification trials, measured by the MMSE or ADAS-Cog, and structural MRI in a subset of participants. FUTURE WORK We envisage that the core set may be superseded in the future, particularly for other types of dementia. There is a need to develop an algorithm to compare scores on the MMSE and ADAS-Cog. STUDY REGISTRATION The project was registered with Core Outcome Measures in Effectiveness Trials [ www.comet-initiative.org/studies/details/819?result=true (accessed 7 April 2016)]. The systematic review protocol is registered as PROSPERO CRD42015027346. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Lucy Webster
- Division of Psychiatry, University College London, London, UK
| | - Derek Groskreutz
- Division of Psychology and Language Sciences, University College London, London, UK
| | | | - Rob Howard
- Division of Psychiatry, University College London, London, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Gail Mountain
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Sube Banerjee
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Bob Woods
- Dementia Services Development Centre Wales, Bangor University, Bangor, UK
| | - Robert Perneczky
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Louise Lafortune
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Charlotte Roberts
- International Consortium for Health Outcomes Measurement, London, UK
| | | | | | - Frances Bunn
- Centre for Research in Primary and Community Care, University of Hertfordshire, Hatfield, UK
| | - David Challis
- Personal Social Services Research Unit, University of Manchester, Manchester, UK
| | - Georgina Charlesworth
- Research Department of Clinical, Educational, and Health Psychology, University College London, London, UK
| | | | - Chris Fox
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Claire Goodman
- Centre for Research in Primary and Community Care, University of Hertfordshire, Hatfield, UK
| | - Roy Jones
- Research Institute for the Care of Older People, University of Bath, Bath, UK
| | - Sallie Lamb
- Oxford Clinical Trials Research Unit, University of Oxford, Oxford, UK
| | - Esme Moniz-Cook
- Faculty of Health and Social Care, University of Hull, Hull, UK
| | - Justine Schneider
- Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Sasha Shepperd
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Claire Surr
- School of Health & Community Studies, Leeds Beckett University, Leeds, UK
| | - Jo Thompson-Coon
- Collaboration for Leadership in Applied Health Research and Care South West Peninsula, University of Exeter, Exeter, UK
| | - Clive Ballard
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Orlaith Burke
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alistair Burns
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Linda Clare
- Collaboration for Leadership in Applied Health Research and Care South West Peninsula, University of Exeter, Exeter, UK
- School of Psychology, University of Exeter, Exeter, UK
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
| | - Peter Garrard
- Neuroscience Research Centre, St George's, University of London, UK
| | - Patrick Kehoe
- School of Clinical Sciences, University of Bristol, Bristol, UK
| | - Peter Passmore
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Clive Holmes
- School of Medicine, University of Southampton, Southampton, UK
| | - Ian Maidment
- Aston Research Centre for Healthy Ageing, Aston University, Birmingham, UK
| | - Fliss Murtagh
- Cicely Saunders Institute, King's College London, London, UK
| | - Louise Robinson
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
- North Thames Collaboration for Leadership in Applied Health Research and Care, London, UK
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9
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Shuaib S, Goyal B. Scrutiny of the mechanism of small molecule inhibitor preventing conformational transition of amyloid-β 42 monomer: insights from molecular dynamics simulations. J Biomol Struct Dyn 2017; 36:663-678. [PMID: 28162045 DOI: 10.1080/07391102.2017.1291363] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is characterized by loss of intellectual functioning of brain and memory loss. According to amyloid cascade hypothesis, aggregation of amyloid-β42 (Aβ42) peptide can generate toxic oligomers and their accumulation in the brain is responsible for the onset of AD. In spite of carrying out a large number of experimental studies on inhibition of Aβ42 aggregation by small molecules, the detailed inhibitory mechanism remains elusive. In the present study, comparable molecular dynamics (MD) simulations were performed to elucidate the inhibitory mechanism of a sulfonamide inhibitor C1 (2,5-dichloro-N-(4-piperidinophenyl)-3-thiophenesulfonamide), reported for its in vitro and in vivo anti-aggregation activity against Aβ42. MD simulations reveal that C1 stabilizes native α-helix conformation of Aβ42 by interacting with key residues in the central helix region (13-26) with hydrogen bonds and π-π interactions. C1 lowers the solvent-accessible surface area of the central hydrophobic core (CHC), KLVFF (16-20), that confirms burial of hydrophobic residues leading to the dominance of helical conformation in the CHC region. The binding free energy analysis with MM-PBSA demonstrates that Ala2, Phe4, Tyr10, Gln15, Lys16, Leu17, Val18, Phe19, Phe20, Glu22, and Met35 contribute maximum to binding free energy (-43.1 kcal/mol) between C1 and Aβ42 monomer. Overall, MD simulations reveal that C1 inhibits Aβ42 aggregation by stabilizing native helical conformation and inhibiting the formation of aggregation-prone β-sheet conformation. The present results will shed light on the underlying inhibitory mechanism of small molecules that show potential in vitro anti-aggregation activity against Aβ42.
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Affiliation(s)
- Suniba Shuaib
- a Department of Chemistry , School of Basic and Applied Sciences, Sri Guru Granth Sahib World University , Fatehgarh Sahib 140406 , Punjab , India
| | - Bhupesh Goyal
- a Department of Chemistry , School of Basic and Applied Sciences, Sri Guru Granth Sahib World University , Fatehgarh Sahib 140406 , Punjab , India
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10
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Li YH, Wang XS, Chen XL, Jin Y, Chen HB, Jia XQ, Zhang YF, Wu ZZ. Neuroprotective effect of the Chinese medicine Tiantai No. 1 and its molecular mechanism in the senescence-accelerated mouse prone 8. Neural Regen Res 2017; 12:301-306. [PMID: 28400814 PMCID: PMC5361516 DOI: 10.4103/1673-5374.200813] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Tiantai No. 1, a Chinese medicine predominantly composed of powdered Rhizoma Gastrodiae, Radix Ginseng, and Ginkgo leaf at a ratio of 2:1:2 and dissolved in pure water, is neuroprotective in animal models of various cognitive disorders, but its molecular mechanism remains unclear. We administered Tiantai No. 1 intragastrically to senescence-accelerated mouse prone 8 (SAMP8) mice (a model of Alzheimer's disease) at doses of 50, 100 or 150 mg/kg per day for 8 weeks and evaluated their behavior in the Morris water maze and expression of Alzheimer's disease-related proteins in the brain. Tiantai No. 1 shortened the escape latency in the water maze training trials, and increased swimming time in the target quadrant during the spatial probe test, indicating that Tiantai No. 1 improved learning and memory in SAMP8 mice. Immunohistochemistry revealed that Tiantai No. 1 restored the proliferation potential of Ki67-positive cells in the hippocampus. In addition, mice that had received Tiantai No. 1 had fewer astrocytes, and less accumulation of amyloid-beta and phosphorylated tau. These results suggest that Tiantai No. 1 is neuroprotective in the SAMP8 mouse model of Alzheimer's disease and acts by restoring neuronal number and proliferation potential in the hippocampus, decreasing astrocyte infiltration, and reducing the accumulation of amyloid-beta and phosphorylated tau.
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Affiliation(s)
- Ying-Hong Li
- First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, Guangdong Province, China
| | - Xu-Sheng Wang
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Xiao-Lin Chen
- Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Yu Jin
- First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, Guangdong Province, China
| | - Hong-Bo Chen
- Shenzhen Key Laboratory of Health Sciences and Technology, Graduate School at Shenzhen, Tsinghua University, Beijing, China
| | - Xiu-Qin Jia
- First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, Guangdong Province, China
| | - Yong-Feng Zhang
- First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, Guangdong Province, China
| | - Zheng-Zhi Wu
- First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, Guangdong Province, China
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11
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Gupta V, Gupta VB, Chitranshi N, Gangoda S, Vander Wall R, Abbasi M, Golzan M, Dheer Y, Shah T, Avolio A, Chung R, Martins R, Graham S. One protein, multiple pathologies: multifaceted involvement of amyloid β in neurodegenerative disorders of the brain and retina. Cell Mol Life Sci 2016; 73:4279-4297. [PMID: 27333888 PMCID: PMC11108534 DOI: 10.1007/s00018-016-2295-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 06/14/2016] [Accepted: 06/15/2016] [Indexed: 01/18/2023]
Abstract
Accumulation of amyloid β (Aβ) and its aggregates in the ageing central nervous system is regarded synonymous to Alzheimer's disease (AD) pathology. Despite unquestionable advances in mechanistic and diagnostic aspects of the disease understanding, the primary cause of Aβ accumulation as well as its in vivo roles remains elusive; nonetheless, the majority of the efforts to address pathological mechanisms for therapeutic development are focused towards moderating Aβ accumulation in the brain. More recently, Aβ deposition has been identified in the eye and is linked with distinct age-related diseases including age-related macular degeneration, glaucoma as well as AD. Awareness of the Aβ accumulation in these markedly different degenerative disorders has led to an increasing body of work exploring overlapping mechanisms, a prospective biomarker role for Aβ and the potential to use retina as a model for brain related neurodegenerative disorders. Here, we present an integrated view of current understanding of the retinal Aβ deposition discussing the accumulation mechanisms, anticipated impacts and outlining ameliorative approaches that can be extrapolated to the retina for potential therapeutic benefits. Further longitudinal investigations in humans and animal models will determine retinal Aβ association as a potential pathognomonic, diagnostic or prognostic biomarker.
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Affiliation(s)
- Vivek Gupta
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Veer B Gupta
- School of Medical Sciences, Edith Cowan University, Perth, Australia.
| | - Nitin Chitranshi
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Sumudu Gangoda
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Roshana Vander Wall
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Mojdeh Abbasi
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Mojtaba Golzan
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Yogita Dheer
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Tejal Shah
- School of Medical Sciences, Edith Cowan University, Perth, Australia
| | - Alberto Avolio
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Roger Chung
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Ralph Martins
- School of Medical Sciences, Edith Cowan University, Perth, Australia
| | - Stuart Graham
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
- Save Sight Institute, Sydney University, Sydney, Australia
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