The genomic hypomethylation hypothesis of aging proposes that an overall decrease in global DNA methylation occurs with age, and it has been argued that the decrease in global DNA methylation could ...be an important factor in aging, resulting in the relaxation of gene expression regulation and abnormal gene expression. Since it was initially observed that DNA methylation decreased with age in 1974, 16 articles have been published describing the effect of age on global DNA methylation in various tissues from rodents and humans. We critically reviewed the publications on the effect of age on DNA methylation and the expression of the enzymes involved in DNA methylation to evaluate the validity of the hypomethylation hypothesis of aging. On the basis of the current scientific literature, we conclude that a decrease in the global methylation of the genome occurs in most if not all tissues/cells as an animal ages. However, age‐related changes in DNA methylation in specific regions or at specific sites in the genome occur even though the global DNA methylation does not change.
The necessity of including both males and females in molecular neuroscience research is now well understood. However, there is relatively limited basic biological data on brain sex differences across ...the lifespan despite the differences in age-related neurological dysfunction and disease between males and females.
Whole genome gene expression of young (3 months), adult (12 months), and old (24 months) male and female C57BL6 mice hippocampus was analyzed. Subsequent bioinformatic analyses and confirmations of age-related changes and sex differences in hippocampal gene and protein expression were performed.
Males and females demonstrate both common expression changes with aging and marked sex differences in the nature and magnitude of the aging responses. Age-related hippocampal induction of neuroinflammatory gene expression was sexually divergent and enriched for microglia-specific genes such as complement pathway components. Sexually divergent C1q protein expression was confirmed by immunoblotting and immunohistochemistry. Similar patterns of cortical sexually divergent gene expression were also evident. Additionally, inter-animal gene expression variability increased with aging in males, but not females.
These findings demonstrate sexually divergent neuroinflammation with aging that may contribute to sex differences in age-related neurological diseases such as stroke and Alzheimer's, specifically in the complement system. The increased expression variability in males suggests a loss of fidelity in gene expression regulation with aging. These findings reveal a central role of sex in the transcriptomic response of the hippocampus to aging that warrants further, in depth, investigations.
Defects in neuromuscular innervation contribute significantly to the age-related decline in muscle mass and function (sarcopenia). Our previous studies demonstrated that denervation induces muscle ...mitochondrial hydroperoxide production (H2O2 and lipid hydroperoxides (LOOHs)). Here we define the relative contribution of mitochondrial electron transport chain (ETC) derived H2O2 versus cytosolic phospholipase A2 (cPLA2) derived LOOHs in neurogenic muscle atrophy. We show that denervation increases muscle cPLA2 protein content, activity, and metabolites downstream of cPLA2 including LOOHs. Increased scavenging of mitochondrial H2O2 does not protect against denervation atrophy, suggesting ETC generated H2O2 is not a critical player. In contrast, inhibition of cPLA2 in vivo mitigates LOOH production and muscle atrophy and maintains individual muscle fiber size while decreasing oxidative damage. Overall, we show that loss of innervation in several muscle atrophy models including aging induces generation of LOOHs produced by arachidonic acid metabolism in the cPLA2 pathway contributing to loss of muscle mass.
Metabolic dysfunction underlies several chronic diseases, many of which are exacerbated by obesity. Dietary interventions can reverse metabolic declines and slow aging, although compliance issues ...remain paramount. 17α-estradiol treatment improves metabolic parameters and slows aging in male mice. The mechanisms by which 17α-estradiol elicits these benefits remain unresolved. Herein, we show that 17α-estradiol elicits similar genomic binding and transcriptional activation through estrogen receptor α (ERα) to that of 17β-estradiol. In addition, we show that the ablation of ERα completely attenuates the beneficial metabolic effects of 17α-E2 in male mice. Our findings suggest that 17α-E2 may act through the liver and hypothalamus to improve metabolic parameters in male mice. Lastly, we also determined that 17α-E2 improves metabolic parameters in male rats, thereby proving that the beneficial effects of 17α-E2 are not limited to mice. Collectively, these studies suggest ERα may be a drug target for mitigating chronic diseases in male mammals.
Alterations to cellular and molecular programs with brain aging result in cognitive impairment and susceptibility to neurodegenerative disease. Changes in DNA methylation patterns, an epigenetic ...modification required for various CNS functions are observed with brain aging and can be prevented by anti-aging interventions, but the relationship of altered methylation to gene expression is poorly understood.
Paired analysis of the hippocampal methylome and transcriptome with aging of male and female mice demonstrates that age-related differences in methylation and gene expression are anti-correlated within gene bodies and enhancers. Altered promoter methylation with aging was found to be generally un-related to altered gene expression. A more striking relationship was found between methylation levels at young age and differential gene expression with aging. Highly methylated gene bodies and promoters in early life were associated with age-related increases in gene expression even in the absence of significant methylation changes with aging. As well, low levels of methylation in early life were correlated to decreased expression with aging. This relationship was also observed in genes altered in two mouse Alzheimer's models.
DNA methylation patterns established in youth, in combination with other epigenetic marks, were able to accurately predict changes in transcript trajectories with aging. These findings are consistent with the developmental origins of disease hypothesis and indicate that epigenetic variability in early life may explain differences in aging trajectories and age-related disease.
Alzheimer's disease (AD) is broadly characterized by neurodegeneration, pathology accumulation, and cognitive decline. There is considerable variation in the progression of clinical symptoms and ...pathology in humans, highlighting the importance of genetic diversity in the study of AD. To address this, we analyze cell composition and amyloid-beta deposition of 6- and 14-month-old AD-BXD mouse brains. We utilize the analytical QUINT workflow- a suite of software designed to support atlas-based quantification, which we expand to deliver a highly effective method for registering and quantifying cell and pathology changes in diverse disease models. In applying the expanded QUINT workflow, we quantify near-global age-related increases in microglia, astrocytes, and amyloid-beta, and we identify strain-specific regional variation in neuron load. To understand how individual differences in cell composition affect the interpretation of bulk gene expression in AD, we combine hippocampal immunohistochemistry analyses with bulk RNA-sequencing data. This approach allows us to categorize genes whose expression changes in response to AD in a cell and/or pathology load-dependent manner. Ultimately, our study demonstrates the use of the QUINT workflow to standardize the quantification of immunohistochemistry data in diverse mice, - providing valuable insights into regional variation in cellular load and amyloid deposition in the AD-BXD model.
Developing strategies to maintain cognitive health is critical to quality of life during aging. The basis of healthy cognitive aging is poorly understood; thus, it is difficult to predict who will ...have normal cognition later in life. Individuals may have higher baseline functioning (cognitive reserve) and others may maintain or even improve with age (cognitive resilience). Understanding the mechanisms underlying cognitive reserve and resilience may hold the key to new therapeutic strategies for maintaining cognitive health. However, reserve and resilience have been inconsistently defined in human studies. Additionally, our understanding of the molecular and cellular bases of these phenomena is poor, compounded by a lack of longitudinal molecular and cognitive data that fully capture the dynamic trajectories of cognitive aging. Here, we used a genetically diverse mouse population (B6-BXDs) to characterize individual differences in cognitive abilities in adulthood and investigate evidence of cognitive reserve and/or resilience in middle-aged mice. We tested cognitive function at two ages (6 months and 14 months) using y-maze and contextual fear conditioning. We observed heritable variation in performance on these traits (
= 0.51-0.74), suggesting moderate to strong genetic control depending on the cognitive domain. Due to the polygenetic nature of cognitive function, we did not find QTLs significantly associated with y-maze, contextual fear acquisition (CFA) or memory, or decline in cognitive function at the genome-wide level. To more precisely interrogate the molecular regulation of variation in these traits, we employed RNA-seq and identified gene networks related to transcription/translation, cellular metabolism, and neuronal function that were associated with working memory, contextual fear memory, and cognitive decline. Using this method, we nominate the
gene as a modulator of working memory ability. Finally, we propose a conceptual framework for identifying strains exhibiting cognitive reserve and/or resilience to assess whether these traits can be observed in middle-aged B6-BXDs. Though we found that earlier cognitive reserve evident early in life protects against cognitive impairment later in life, cognitive performance and age-related decline fell along a continuum, with no clear genotypes emerging as exemplars of exceptional reserve or resilience - leading to recommendations for future use of aging mouse populations to understand the nature of cognitive reserve and resilience.
Summary
Necroptosis is a newly identified programmed cell death pathway that is highly proinflammatory due to the release of cellular components that promote inflammation. To determine whether ...necroptosis might play a role in inflammaging, we studied the effect of age and dietary restriction (DR) on necroptosis in the epididymal white adipose tissue (eWAT), a major source of proinflammatory cytokines. Phosphorylated MLKL and RIPK3, markers of necroptosis, were increased 2.7‐ and 1.9‐fold, respectively, in eWAT of old mice compared to adult mice, and DR reduced P‐MLKL and P‐RIPK3 to levels similar to adult mice. An increase in the expression of RIPK1 (1.6‐fold) and MLKL (2.7‐fold), not RIPK3, was also observed in eWAT of old mice, which was reduced by DR in old mice. The increase in necroptosis was paralleled by an increase in 14 inflammatory cytokines, including the pro‐inflammatory cytokines IL‐6 (3.9‐fold), TNF‐α (4.7‐fold), and IL‐1β (5.1‐fold), and 11 chemokines in old mice. DR attenuated the expression of IL‐6, TNF‐α, and IL‐1β as well as 85% of the other cytokines/chemokines induced with age. In contrast, inguinal WAT (iWAT), which is less inflammatory, did not show any significant increase with age in the levels of P‐MLKL and MLKL or inflammatory cytokines/chemokines. Because the changes in biomarkers of necroptosis in eWAT with age and DR paralleled the changes in the expression of pro‐inflammatory cytokines, our data support the possibility that necroptosis might play a role in increased chronic inflammation observed with age.
Background
It is estimated that a third of the elderly population is not diagnosed with Alzheimer’s disease (AD) due to the absence of cognitive impairment despite carrying risk variants of AD or ...presenting AD pathology post‐mortem. This suggests that at‐risk individuals may carry protective mechanisms that promote resilience to cognitive impairment, however the underlying molecular processes that promote resilience remain unknown.
Method
To determine transcriptional changes associated with resilience, we profiled the hippocampal transcriptome at the single cell level in 7 resilient and 7 susceptible strains from the AD‐BXD mouse reference panel1, a genetically diverse mouse model of AD that better mimics human AD. Here, we used contextual fear memory paradigm to assess short‐term memory function in AD‐BXDs carrying the 5XFAD mutation. Resilience was defined based on age‐related change in cognitive function relative to that of the entire AD‐BXD population, where strains showing no or lower than average decline were considered resilient.
Result
Using single nucleus RNA‐sequencing, we profiled ∼220 K nuclei from the hippocampal formation and identified 32 cell clusters representing the major cell types in the hippocampus including glutamatergic neurons, GABAergic neurons, astrocytes, oligodendrocytes and microglia. With the exception of GABAergic neurons, transcriptional changes associated with the 5XFAD mutation were greater in susceptible AD‐BXDs. Gene expression changes associated with cognitive resilience were primarily observed in excitatory neurons, specifically in the CA1 and dentate gyrus and were enriched for ribosomal genes and nuclear encoded mitochondrial genes. In attempt to infer potential ligands that regulate resilience‐associated transcriptional changes we used a ligand‐target interaction analysis and predicted potential ligands regulating resilience programs in excitatory neurons.
Conclusion
Our findings demonstrate that the rate of cognitive decline is concomitant with increased transcriptional changes associated with the 5XFAD mutation across cell types in the hippocampus. We show that molecular programs associated with resilience in excitatory neurons are enriched in protein metabolism, cellular respiration and translation, possibly indicating a response to energy demand and maintenance of cellular homeostasis.
Neuner SM, Heuer SE, Huentelman MJ, O'Connell KMS, Kaczorowski CC. Harnessing Genetic Complexity to Enhance Translatability of Alzheimer's Disease Mouse Models: A Path toward Precision Medicine. Neuron. 2019.
Background
There is significant variation in the age at onset and severity of cognitive decline among those with Alzheimer’s disease (AD). Despite strong genetic links to AD loci, the specific ...variants, target genes and cell types that drive AD‐related deterioration remain elusive. Recent advances in brain‐wide cell type and pathology quantification across our AD mouse genetic reference panel provide new opportunities to identify genetic factors that act in a cell‐type‐specific fashion to modify disease progression in response to causal AD mutations; linking, for the first time, genetics to regional cell composition to characterize susceptibility versus resilience to AD.
Method
Immunohistochemistry was completed to evaluate neurodegeneration(NeuN), gliosis(Iba1&GFAP), and amyloid pathology(AB1‐42) in 250 mice from the AD‐BXD genetic reference panel. Using the QUINT workflow, hemibrain slices were systematically segmented and registered to the Allen Brain Atlas to gain a global perspective of percent cell/pathology coverage. The heritability of individual cell composition was calculated and quantitative trait loci(QTL) mapping was completed.
Result
Compositional differences between the strains, particularly the BXD founder strains, became apparent when evaluating neurodegeneration and microglial proliferation. Despite comparable levels of amyloid, cortical and hippocampal NeuN and Iba1 coverage significantly varied among strains; however, this variation did not explain individual differences in short and long‐term memory capacity. Genetic mapping of individual cell composition traits identified a significant QTL associated with cortical neuron load (h = 0.6) on chromosome 17. Lrfn2 was identified as a gene of interest as it was differentially expressed between mice that had the BB vs BD genotype at the most significant variant location under the peak.
Conclusion
This method of combining omics and imaging data to link changes in gene expression, cell composition, and behavior allows for the assessment of disease subtypes with the potential to aid the development of precision medicine solutions to AD. Specifically, changes in cell coverage can be associated with differences in gene expression among the AD‐BXD population to detect genes associated with regional cell composition. These candidates will be validated by creating cell‐type‐specific knock‐in or knock‐out models and measuring cognitive functioning to determine the effect of these genes on memory performance.
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