Literature DB >> 26401762

Translation of Pre-Clinical Studies into Successful Clinical Trials for Alzheimer's Disease: What are the Roadblocks and How Can They Be Overcome?

Avijit Banik1, Richard E Brown2, James Bamburg3, Debomoy K Lahiri4, Dheeraj Khurana1, Robert P Friedland5, Wei Chen6, Ying Ding7, Amritpal Mudher8, Ante L Padjen9, Elizabeta Mukaetova-Ladinska10, Masafumi Ihara11, Sudhir Srivastava12, M V Padma Srivastava13, Colin L Masters14, Raj N Kalaria10, Akshay Anand1.   

Abstract

Preclinical studies are essential for translation to disease treatments and effective use in clinical practice. An undue emphasis on single approaches to Alzheimer's disease (AD) appears to have retarded the pace of translation in the field, and there is much frustration in the public about the lack of an effective treatment. We critically reviewed past literature (1990-2014), analyzed numerous data, and discussed key issues at a consensus conference on Brain Ageing and Dementia to identify and overcome roadblocks in studies intended for translation. We highlight various factors that influence the translation of preclinical research and highlight specific preclinical strategies that have failed to demonstrate efficacy in clinical trials. The field has been hindered by the domination of the amyloid hypothesis in AD pathogenesis while the causative pathways in disease pathology are widely considered to be multifactorial. Understanding the causative events and mechanisms in the pathogenesis are equally important for translation. Greater efforts are necessary to fill in the gaps and overcome a variety of confounds in the generation, study design, testing, and evaluation of animal models and the application to future novel anti-dementia drug trials. A greater variety of potential disease mechanisms must be entertained to enhance progress.

Entities:  

Keywords:  Alzheimer’s disease; animal model; dementia; memory disorder; pre-clinical; treatment

Mesh:

Year:  2015        PMID: 26401762     DOI: 10.3233/JAD-150136

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  33 in total

1.  Transcriptional signatures of brain aging and Alzheimer's disease: What are our rodent models telling us?

Authors:  Kendra E Hargis; Eric M Blalock
Journal:  Behav Brain Res       Date:  2016-05-04       Impact factor: 3.332

Review 2.  Alzheimer's disease: experimental models and reality.

Authors:  Eleanor Drummond; Thomas Wisniewski
Journal:  Acta Neuropathol       Date:  2016-12-26       Impact factor: 17.088

3.  Neurotrophic Factors Mediated Activation of Astrocytes Ameliorate Memory Loss by Amyloid Clearance after Transplantation of Lineage Negative Stem Cells.

Authors:  P Bali; A Banik; B Nehru; Akshay Anand
Journal:  Mol Neurobiol       Date:  2019-06-27       Impact factor: 5.590

Review 4.  Neuroimmunometabolism: A New Pathological Nexus Underlying Neurodegenerative Disorders.

Authors:  Swarup Mitra; Avijit Banik; Sumit Saurabh; Malabika Maulik; Shailesh N Khatri
Journal:  J Neurosci       Date:  2022-01-13       Impact factor: 6.709

Review 5.  Potential for Stem Cells Therapy in Alzheimer's Disease: Do Neurotrophic Factors Play Critical Role?

Authors:  Parul Bali; Debomoy K Lahiri; Avijit Banik; Bimla Nehru; Akshay Anand
Journal:  Curr Alzheimer Res       Date:  2017       Impact factor: 3.498

6.  Harnessing forgetfulness: can episodic-memory tests predict early Alzheimer's disease?

Authors:  Samuel L Warren; Ahmed A Moustafa; Hany Alashwal
Journal:  Exp Brain Res       Date:  2021-07-27       Impact factor: 1.972

7.  Changes in Frailty Predict Changes in Cognition in Older Men: The Honolulu-Asia Aging Study.

Authors:  Joshua J Armstrong; Judith Godin; Lenore J Launer; Lon R White; Arnold Mitnitski; Kenneth Rockwood; Melissa K Andrew
Journal:  J Alzheimers Dis       Date:  2016-06-15       Impact factor: 4.472

Review 8.  Alzheimer's Disease, Oligomers, and Inflammation.

Authors:  Gianluigi Forloni; Claudia Balducci
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

9.  Cerebrolysin for vascular dementia.

Authors:  Shuhui Cui; Ning Chen; Mi Yang; Jian Guo; Muke Zhou; Cairong Zhu; Li He
Journal:  Cochrane Database Syst Rev       Date:  2019-11-11

10.  Anti-β-sheet conformation monoclonal antibody reduces tau and Aβ oligomer pathology in an Alzheimer's disease model.

Authors:  Fernando Goñi; Mitchell Martá-Ariza; Krystal Herline; Daniel Peyser; Allal Boutajangout; Pankaj Mehta; Eleanor Drummond; Frances Prelli; Thomas Wisniewski
Journal:  Alzheimers Res Ther       Date:  2018-01-29       Impact factor: 6.982

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