Literature DB >> 9088909

Pathobiology of the senescence-accelerated mouse (SAM).

T Takeda1, T Matsushita, M Kurozumi, K Takemura, K Higuchi, M Hosokawa.   

Abstract

Routine postmortem examinations and the pathobiological features revealed by systematically designed studies have shown several pathologic phenotypes that are often characteristic enough to differentiate among the various SAM strains: senile amyloidosis in SAMP1, -P2, -P7, -P9, -P10, and -P11; secondary amyloidosis in SAMP2 and -P6; contracted kidney in SAMP1, -P2, -P10, and -P11; immunoblastic lymphoma in SAMR1 and -R4; histiocytic sarcoma in SAMR1 and -R4; ovarian cysts in SAMR1; impaired immune response in SAMP1, -P2, and -P8; hyperinflation of the lungs in SAMP1; hearing impairment in SAMP1; degenerative temporomandibular joint disease in SAMP3; senile osteoporosis in SAMP6; deficits in learning and memory in SAMP8 and -P10; emotional disorders in SAMP8 and -P10; cataracts in SAMP9; and brain atrophy in SAMP10. These are all age-associated pathologies, the incidence and severity of which increase with advancing age. The SAM model in which these pathobiological features have been carefully monitored will be a valuable tool in the clarification of the pathogenic mechanisms of age-associated pathologies and in the research for effective methods to modulate or ameliorate these pathologies.

Entities:  

Mesh:

Year:  1997        PMID: 9088909     DOI: 10.1016/s0531-5565(96)00068-x

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  38 in total

1.  Increased genetic instability of the spermatogenic system of SAMP1 senescent accelerated mice caused by the model mutagen dipinum.

Authors:  S T Zakhidov; A Yu Kulibin
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2.  Diastolic dysfunction is associated with cardiac fibrosis in the senescence-accelerated mouse.

Authors:  Alana L Reed; Atsuko Tanaka; Dan Sorescu; Hong Liu; Euy-Myoung Jeong; Megan Sturdy; Erik R Walp; Samuel C Dudley; Roy L Sutliff
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-07-01       Impact factor: 4.733

3.  Long-term wheel running changes on sensorimotor activity and skeletal muscle in male and female mice of accelerated senescence.

Authors:  Sandra Sanchez-Roige; Jaume F Lalanza; María Jesús Alvarez-López; Marta Cosín-Tomás; Christian Griñan-Ferré; Merce Pallàs; Perla Kaliman; Rosa M Escorihuela
Journal:  Age (Dordr)       Date:  2014-08-17

Review 4.  Stroke, Vascular Dementia, and Alzheimer's Disease: Molecular Links.

Authors:  Murali Vijayan; P Hemachandra Reddy
Journal:  J Alzheimers Dis       Date:  2016-09-06       Impact factor: 4.472

5.  Obesity-induced diabetes and lower urinary tract fibrosis promote urinary voiding dysfunction in a mouse model.

Authors:  Mehrnaz Gharaee-Kermani; Jose A Rodriguez-Nieves; Rohit Mehra; Chad A Vezina; Aruna V Sarma; Jill A Macoska
Journal:  Prostate       Date:  2013-03-26       Impact factor: 4.104

Review 6.  Murine models of atrophy, cachexia, and sarcopenia in skeletal muscle.

Authors:  Mark Romanick; Ladora V Thompson; Holly M Brown-Borg
Journal:  Biochim Biophys Acta       Date:  2013-03-20

7.  Animal models of ischemic stroke. Part one: modeling risk factors.

Authors:  Marco Bacigaluppi; Giancarlo Comi; Dirk M Hermann
Journal:  Open Neurol J       Date:  2010-06-15

8.  Rhein lysinate increases the median survival time of SAMP10 mice: protective role in the kidney.

Authors:  Gang Hu; Jiang Liu; Yong-zhan Zhen; Rong Xu; Yu Qiao; Jie Wei; Ping Tu; Ya-jun Lin
Journal:  Acta Pharmacol Sin       Date:  2013-03-11       Impact factor: 6.150

Review 9.  The relevance of mouse models for investigating age-related bone loss in humans.

Authors:  Robert L Jilka
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-20       Impact factor: 6.053

10.  Tryptophan and kynurenine levels in lenses of Wistar and accelerated-senescence OXYS rats.

Authors:  Olga A Snytnikova; Lyudmila V Kopylova; Elena I Chernyak; Sergey V Morozov; Nataliya G Kolosova; Yuri P Tsentalovich
Journal:  Mol Vis       Date:  2009-12-16       Impact factor: 2.367

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