Abstract:Introduction: Circulating inflammatory markers may play an important role in cognitive impairment at older ages. Mice deficient for the chemokine (C-C motif) receptor 2 (CCR2) develop an accelerated Alzheimer-like pathology. CCR2 is also important in neurogenesis. To identify human gene transcripts most closely associated with Mini-Mental State Examination (MMSE) scores, we undertook a genome-wide and inflammation specific transcriptome screen in circulating leukocytes from a population-based sample. Methods: … Show more
“…For example cg23630131 and cg09788352 lie downstream of KCDT7 and CLN6 respectively, with mutations in both these genes being associated with severe dementia in progressive myoclonus epilepsy (Kousi, et al, 2012) and ceroid-lipofuscinosis (Arsov, et al, 2011) respectively. Furthermore, cg01094683 lies upstream of TBC1D16 , with decreased leukocyte expression of this gene having been previously associated with lower Mini Mental State Examination (MMSE) scores (Harries, et al, 2012). Although the other identified loci have not been previously associated with dementia, they could still represent novel biomarkers.…”
Due to an aging population, the incidence of dementia is steadily rising. The ability to identify early markers in blood, which appear before the onset of clinical symptoms is of considerable interest to allow early intervention, particularly in “high risk” groups such as those with Type 2 Diabetes (T2D). Here we present a longitudinal study of genome-wide DNA methylation in whole blood from 18 elderly individuals with T2D who developed pre-symptomatic dementia within an 18 month period following baseline assessment and 18 age, sex and education matched controls who maintained normal cognitive function. We identified a significant overlap in methylomic differences between groups at baseline and follow-up, with ten CpG sites, several in the vicinity of loci previously implicated in neurodegenerative processes, being consistently differentially methylated above our nominal significance threshold prior to symptoms at baseline and at 18 month follow up, after a diagnosis of pre-symptomatic dementia. Finally we report a significant overlap between DNA methylation differences identified in converters, only after they develop symptoms of dementia, with differences at the same loci in blood samples from patients with clinically-diagnosed Alzheimer’s disease compared to unaffected controls.
“…For example cg23630131 and cg09788352 lie downstream of KCDT7 and CLN6 respectively, with mutations in both these genes being associated with severe dementia in progressive myoclonus epilepsy (Kousi, et al, 2012) and ceroid-lipofuscinosis (Arsov, et al, 2011) respectively. Furthermore, cg01094683 lies upstream of TBC1D16 , with decreased leukocyte expression of this gene having been previously associated with lower Mini Mental State Examination (MMSE) scores (Harries, et al, 2012). Although the other identified loci have not been previously associated with dementia, they could still represent novel biomarkers.…”
Due to an aging population, the incidence of dementia is steadily rising. The ability to identify early markers in blood, which appear before the onset of clinical symptoms is of considerable interest to allow early intervention, particularly in “high risk” groups such as those with Type 2 Diabetes (T2D). Here we present a longitudinal study of genome-wide DNA methylation in whole blood from 18 elderly individuals with T2D who developed pre-symptomatic dementia within an 18 month period following baseline assessment and 18 age, sex and education matched controls who maintained normal cognitive function. We identified a significant overlap in methylomic differences between groups at baseline and follow-up, with ten CpG sites, several in the vicinity of loci previously implicated in neurodegenerative processes, being consistently differentially methylated above our nominal significance threshold prior to symptoms at baseline and at 18 month follow up, after a diagnosis of pre-symptomatic dementia. Finally we report a significant overlap between DNA methylation differences identified in converters, only after they develop symptoms of dementia, with differences at the same loci in blood samples from patients with clinically-diagnosed Alzheimer’s disease compared to unaffected controls.
“…We analysed microarray data from participants at the 9-year follow-up of the InCHIANTI study, which has been previously described (Ferrucci et al 2000; Harries et al 2012a, b; Holly et al 2013). 695 subjects aged between 30 and 104 years old with a mean age of 72.3 years (standard deviation 15.3 years).…”
MicroRNAs are non-coding RNAs with roles in many cellular processes. Tissue-specific miRNA profiles associated with senescence have been described for several cell and tissue types. We aimed to characterise miRNAs involved in core, rather than tissue-specific, senescence pathways by assessment of common miRNA expression differences in two different cell types, with follow-up of predicted targets in human peripheral blood. MicroRNAs were profiled in early and late passage primary lung and skin fibrob-lasts to identify commonly-deregulated miRNAs. Expression changes of their bioinformatically-predicted mRNA targets were then assessed in both cell types and in human peripheral blood from elderly participants in the InCHIANTI study. 57/178 and 26/492 microRNAs were altered in late passage skin and lung cells respectively. Three miRNAs (miR-92a, miR-15b and miR-125a-3p) were altered in both tissues. 14 mRNA targets of the common miRNAs were expressed in lung and skin fibroblasts, of which two demonstrated up-regulation in late passage skin and lung cells (LYST; p = 0.02 [skin] and 0.02 [lung] INMT; p = 0.03 [skin] and 0.04 [lung]). ZMPSTE24 and LHFPL2 demonstrated altered expression in late passage skin cells only (p = 0.01 and 0.05 respectively). LHFPL2 was also positively correlated with age in peripheral blood (p value = 6.6 × 10−5). We find that the majority of senescence-associated miRNAs demonstrate tissue-specific effects. However, miRNAs showing common effects across tissue types may represent those associated with core, rather than tissue-specific senescence processes.
“…With the exception of the study by Harries et al (Harries et al, 2012) where blood gene expression patterns were related to cognitive level and rate of change assessed by the Mini-Mental State Examination (MMSE) in 688 individuals with a mean age of 72.6 years at intake and 9 years of follow-up, most studies relating transcriptional changes to brain aging generally have not attempted to associate the profiles to measures of cognitive functioning during the normative cognitive aging of individuals in the middle-aged and young elderly age-groups. Consequently, in this study we therefore aimed at identifying transcriptional changes correlated with differences in cognitive ability as assessed by a battery of 6 cognitive tests representing tasks that are sensitive to normative aging.…”
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