Utilizing an Animal Model to Identify Brain Neurodegeneration-Related Biomarkers in Aging
Utilizing an Animal Model to Identify Brain Neurodegeneration-Related Biomarkers in Aging
Glycine N-methyltransferase (GNMT) regulates S-adenosylmethionine (SAMe), a methyl donor in methylation. Over-expressed SAMe may cause neurogenic capacity reduction and memory impairment. GNMT knockout mice (GNMT-KO) was applied as an experimental model to evaluate its effect on neurons. In this study, proteins from brain tissues were studied using proteomic approaches, Haemotoxylin and Eosin staining, immunohistochemistry, Western blotting, and ingenuity pathway analysis. The expression of Receptor-interacting protein 1(RIPK1) and Caspase 3 were up-regulated and activity-dependent neuroprotective protein (ADNP) was down-regulated in GNMT-KO mice regardless of the age. Besides, proteins related to neuropathology, such as excitatory amino acid transporter 2, calcium/calmodulin-dependent protein kinase type II subunit alpha, and Cu-Zn superoxide dismutase were found only in the group of aged wild-type mice; 4-aminobutyrate amino transferase, limbic system-associated membrane protein, sodium- and chloride-dependent GABA transporter 3 and ProSAAS were found only in the group of young GNMT-KO mice and are related to function of neurons; serum albumin and Rho GDP dissociation inhibitor 1 were found only in the group of aged GNMT-KO mice and are connected to neurodegenerative disorders. With proteomic analyses, a pathway involving Gonadotropin-releasing hormone (GnRH) signal was found to be associated with aging. The GnRH pathway could provide additional information on the mechanism of aging and non-aging related neurodegeneration, and these protein markers may be served in developing future therapeutic treatments to ameliorate aging and prevent diseases.
- National University of Singapore Singapore
- I-Shou University Taiwan
- National University of Singapore Libraries Singapore
- Fu Jen Catholic University Taiwan
- Department of Biological Sciences Russian Federation
Proteomics, Aging, Proteome, 610, neurons, Nerve Tissue Proteins, Article, Mice, Animals, Cellular Senescence, Neurons, GNMT, aging, Brain, Neurodegenerative Diseases, Biomarker, Prognosis, Immunohistochemistry, Disease Models, Animal, biomarker, Disease Susceptibility, Biomarkers, Signal Transduction
Proteomics, Aging, Proteome, 610, neurons, Nerve Tissue Proteins, Article, Mice, Animals, Cellular Senescence, Neurons, GNMT, aging, Brain, Neurodegenerative Diseases, Biomarker, Prognosis, Immunohistochemistry, Disease Models, Animal, biomarker, Disease Susceptibility, Biomarkers, Signal Transduction
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