2018
DOI: 10.1016/j.exger.2018.04.012
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Proteomic analysis of age-related changes in ovine cerebrospinal fluid

Abstract: Cerebrospinal fluid (CSF) circulates through the brain and has a unique composition reflecting the biological processes of the brain. Identifying ageing CSF biomarkers can aid in understanding the ageing process and interpreting CSF protein changes in neurodegenerative diseases. In this study, ovine CSF proteins from young (1-2 year old), middle aged (3-6 year old) and old (7-10 year old) sheep were systemically studied. CSF proteins were labelled with iTRAQ tagging reagents and fractionated by 2-dimensional h… Show more

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Cited by 5 publications
(4 citation statements)
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References 45 publications
(51 reference statements)
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“…Regional microglial heterogeneity may have a role in enabling localised homeostatic functions and region-specific sensitivities to microglial dysregulation and involvement in age-related neurodegenerative processes that have neuroinflammatory mechanisms [33,34]. Microglial diversity may be relevant to ischaemic stroke, for which age is a risk factor and neuroinflammation is present [35,36]. Genome-wide transcriptional profiling of microglia from discrete brain regions has found that cerebellar and hippocampal microglia adopt a more immune-vigilant state compared to cortical and striatal regions, and this has been accompanied by relatively greater expression of an extensive set of co-regulated genes involved in energy metabolism.…”
Section: Microglial Morphology "Activation" States and Functions In mentioning
confidence: 99%
“…Regional microglial heterogeneity may have a role in enabling localised homeostatic functions and region-specific sensitivities to microglial dysregulation and involvement in age-related neurodegenerative processes that have neuroinflammatory mechanisms [33,34]. Microglial diversity may be relevant to ischaemic stroke, for which age is a risk factor and neuroinflammation is present [35,36]. Genome-wide transcriptional profiling of microglia from discrete brain regions has found that cerebellar and hippocampal microglia adopt a more immune-vigilant state compared to cortical and striatal regions, and this has been accompanied by relatively greater expression of an extensive set of co-regulated genes involved in energy metabolism.…”
Section: Microglial Morphology "Activation" States and Functions In mentioning
confidence: 99%
“…In veterinary science, recent investigations using these novel quantitative technologies to detect possible biomarkers of diagnostic and understand the prognosis of diseases in dogs (Martínez-Subiela et al, 2017;Franco-Martínez et al, 2018) have been reported. Also, studies performed in sheep using these techniques to evaluate the alterations in the intestine associated with under weaning stress using jejunum samples (Cui et al, 2018) or to consider age-related changes in the cerebrospinal fluid (Chen et al, 2018) have been published. However, to the best of our knowledge, no reports currently exist on the use of isobaric tagging technology in saliva samples to detect possible biomarkers of stress in sheep.…”
Section: Introductionmentioning
confidence: 99%
“…This diminution is closely related to the functions of stem cells (SCs) responsible for cell renewal and it is more evident in tissues with a high rate of cell renewal, such as the skin or intestinal epithelium. Some variations in the behavior of SCs with age are known and were studied from different points of view, as genomic [6][7][8], epigenomic [9,10] and proteomic [11][12][13], although the scope and consequences of these changes have not been well established. Nowadays the telomeres shortening as a consequence of semiconservative DNA replications in successive mitosis, is an efficient marker of cell senescence and it leads to an aging theory [14], although there are other alternative theories such as mitochondrial one [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…1+α)N , • • • , 2(N−s ) (α+1) + (s − 1) s N(N−1) , • • • . (B 13). Taking N = n e , we obtain:P (ne−s ,s ) (0,ne) = 2(n e − s ) (α + 1) + (s − 1) s n e (n e − 1).…”
mentioning
confidence: 99%