Literature DB >> 22198698

Chronological age impacts immunotherapy and monocyte uptake independent of amyloid load.

Qingyou Li1, Lori Lebson, Daniel C Lee, Kevin Nash, Jan Grimm, Arnon Rosenthal, Maj-Linda B Selenica, Dave Morgan, Marcia N Gordon.   

Abstract

One vexing issue in biomedical research is the failure of many therapies to translate from success in animal models to effective treatment of human disease. One significant difference between the animal models and the human disease is the age of the subject. Cancer, stroke and Alzheimer's occur mainly in humans beyond the 75% mean survival age, while most mouse models use juvenile or young adult animals. Here we compare two mouse models of amyloid deposition, the Tg2576 APP model and the more aggressive APP+PS1 model in which a mutant presenilin1 gene is overexpressed with Tg2576. Middle-aged APP+PS1 mice and aged APP mice have similar degrees of amyloid pathology with a few differences that may partially explain some of the differences between the two age cohorts. The first study evaluated production of microhemorrhage by a monoclonal anti-Aβ antibody. We found that in spite of greater amyloid clearance in middle-aged APP+PS1 mice than aged APP mice, the microhemorrhage only developed in old animals. This argues that preclinical studies of immunotherapy in young or middle-aged mice may not predict this potential liability in clinical trials. A second study evaluated the infiltration of systemically injected GFP labeled monocytes into the CNS. Here we find that infiltration is greater in aged mice than middle-aged mice, in spite of greater total Aß staining in the middle-aged animals. We conclude that preclinical studies should be conducted in aged animal models as well as young mice to better prepare for unintended consequences in the human trial.

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Year:  2011        PMID: 22198698     DOI: 10.1007/s11481-011-9329-9

Source DB:  PubMed          Journal:  J Neuroimmune Pharmacol        ISSN: 1557-1890            Impact factor:   4.147


  33 in total

1.  Cerebral hemorrhage after passive anti-Abeta immunotherapy.

Authors:  M Pfeifer; S Boncristiano; L Bondolfi; A Stalder; T Deller; M Staufenbiel; P M Mathews; M Jucker
Journal:  Science       Date:  2002-11-15       Impact factor: 47.728

2.  Quantitative evaluation of monocyte transmigration into the brain following chemical opening of the blood-brain barrier in mice.

Authors:  Jianmei Wu; Shiming Yang; Haiyan Luo; Lingbing Zeng; Lingbing Ye; Yuanan Lu
Journal:  Brain Res       Date:  2006-08-14       Impact factor: 3.252

3.  Anti-Abeta42- and anti-Abeta40-specific mAbs attenuate amyloid deposition in an Alzheimer disease mouse model.

Authors:  Yona Levites; Pritam Das; Robert W Price; Marjorie J Rochette; Lisa A Kostura; Eileen M McGowan; Michael P Murphy; Todd E Golde
Journal:  J Clin Invest       Date:  2005-12-08       Impact factor: 14.808

4.  Dopaminergic changes in the basal ganglia. A generalized phenomenon of aging in mammals.

Authors:  D G Morgan; C E Finch
Journal:  Ann N Y Acad Sci       Date:  1988       Impact factor: 5.691

5.  Increased amyloid-beta42(43) in brains of mice expressing mutant presenilin 1.

Authors:  K Duff; C Eckman; C Zehr; X Yu; C M Prada; J Perez-tur; M Hutton; L Buee; Y Harigaya; D Yager; D Morgan; M N Gordon; L Holcomb; L Refolo; B Zenk; J Hardy; S Younkin
Journal:  Nature       Date:  1996-10-24       Impact factor: 49.962

6.  Exacerbation of cerebral amyloid angiopathy-associated microhemorrhage in amyloid precursor protein transgenic mice by immunotherapy is dependent on antibody recognition of deposited forms of amyloid beta.

Authors:  Margaret M Racke; Laura I Boone; Deena L Hepburn; Maia Parsadainian; Matthew T Bryan; Daniel K Ness; Kathy S Piroozi; William H Jordan; Donna D Brown; Wherly P Hoffman; David M Holtzman; Kelly R Bales; Bruce D Gitter; Patrick C May; Steven M Paul; Ronald B DeMattos
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

Review 7.  Probing the biology of Alzheimer's disease in mice.

Authors:  Karen H Ashe; Kathleen R Zahs
Journal:  Neuron       Date:  2010-06-10       Impact factor: 17.173

8.  Correlative memory deficits, Abeta elevation, and amyloid plaques in transgenic mice.

Authors:  K Hsiao; P Chapman; S Nilsen; C Eckman; Y Harigaya; S Younkin; F Yang; G Cole
Journal:  Science       Date:  1996-10-04       Impact factor: 47.728

9.  Passive amyloid immunotherapy clears amyloid and transiently activates microglia in a transgenic mouse model of amyloid deposition.

Authors:  Donna M Wilcock; Amyn Rojiani; Arnon Rosenthal; Gil Levkowitz; Sangeetha Subbarao; Jennifer Alamed; David Wilson; Nedda Wilson; Melissa J Freeman; Marcia N Gordon; Dave Morgan
Journal:  J Neurosci       Date:  2004-07-07       Impact factor: 6.167

10.  Improvement of a low pH antigen-antibody dissociation procedure for ELISA measurement of circulating anti-Abeta antibodies.

Authors:  Qingyou Li; Marcia Gordon; Chuanhai Cao; Kenneth E Ugen; Dave Morgan
Journal:  BMC Neurosci       Date:  2007-03-20       Impact factor: 3.288

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  3 in total

1.  Neuroinflammation and cognitive dysfunction in chronic disease and aging.

Authors:  Amy M Hein; M Kerry O'Banion
Journal:  J Neuroimmune Pharmacol       Date:  2012-01-18       Impact factor: 4.147

Review 2.  Review: experimental manipulations of microglia in mouse models of Alzheimer's pathology: activation reduces amyloid but hastens tau pathology.

Authors:  D C Lee; J Rizer; J B Hunt; M-L B Selenica; M N Gordon; D Morgan
Journal:  Neuropathol Appl Neurobiol       Date:  2013-02       Impact factor: 8.090

3.  Effector function of anti-pyroglutamate-3 Aβ antibodies affects cognitive benefit, glial activation and amyloid clearance in Alzheimer's-like mice.

Authors:  Helen Crehan; Bin Liu; Martin Kleinschmidt; Jens-Ulrich Rahfeld; Kevin X Le; Barbara J Caldarone; Jeffrey L Frost; Thore Hettmann; Birgit Hutter-Paier; Brian O'Nuallain; Mi-Ae Park; Marcelo F DiCarli; Inge Lues; Stephan Schilling; Cynthia A Lemere
Journal:  Alzheimers Res Ther       Date:  2020-01-13       Impact factor: 6.982

  3 in total

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