Transcriptomic markers of aging can be useful for studying age‐related processes and diseases. However, noncoding repetitive element (RE) transcripts, which may play an important role in aging, are commonly overlooked in transcriptome studies—and their potential as a transcriptomic marker of aging has not been evaluated. Here, we used multiple RNA‐seq datasets generated from human samples and Caenorhabditis elegans and found that most RE transcripts (a) accumulate progressively with aging; (b) can be used to accurately predict age; and (c) may be a good marker of biological age. The strong RE/aging correlations we observed are consistent with growing evidence that RE transcripts contribute directly to aging and disease.

The amyloid beta (Aβ) peptide is believed to play a central role in Alzheimer’s disease (AD), the most common age-related neurodegenerative disorder. However, the natural, evolutionarily selected functions of Aβ are incompletely understood. Here, we report that nanomolar concentrations of Aβ act synergistically with known cytokines to promote pro-inflammatory activation in primary human astrocytes (a cell type increasingly implicated in brain aging and AD). Using transcriptomics (RNA-seq), we show that Aβ can directly substitute for the complement component C1q in a cytokine cocktail previously shown to induce astrocyte immune activation. Furthermore, we show that astrocytes synergistically activated by Aβ have a transcriptional signature similar to neurotoxic “A1” astrocytes known to accumulate with age and in AD. Interestingly, we find that this biological action of Aβ at low concentrations is distinct from the transcriptome changes induced by the high/supra-physiological doses of Aβ often used in in vitro studies. Collectively, our results suggest an important, cytokine-like function for Aβ and a novel mechanism by which it may directly contribute to the neuroinflammation associated with brain aging and AD.

One of the best strategies for healthy brain aging is regular aerobic exercise. Commonly studied “anti-aging” compounds may mimic some effects of exercise on the brain, but novel approaches that target energy-sensing pathways similar to exercise probably will be more effective in this context. We review evidence in support of this hypothesis by focusing on biological hallmarks of brain aging.

Older age is the primary risk factor for most chronic diseases, including Alzheimer’s disease (AD). Current preclinical models to study brain aging and AD are mainly transgenic and harbor mutations intended to mirror brain pathologies associated with human brain aging/AD (e.g., by increasing production of amyloid precursor protein, amyloid beta [Aβ], and/or phosphorylated tau, all of which are key pathological mediators of AD). Although these models may provide insight on pathophysiological processes in AD, none completely recapitulate the disease and its strong age-dependence, and there has been limited success in translating preclinical results and treatments to humans. Here, we describe two non-transgenic guinea pig (GP) models, a standard PigmEnTed (PET) strain and lesser-studied Dunkin-Hartley (DH) strain, that may naturally mimic key features of brain aging and AD in humans. We show that brain aging in PET GP is transcriptomically similar to human brain aging, whereas older DH brains are transcriptomically more similar to human AD. Both strains/models also exhibit increased neurofilament light chain (NFL, a marker of neuronal damage) with aging, and DH animals display greater S100 calcium-binding protein B (S100β), ionized calcium-binding adapter molecule 1 (Iba1), and Aβ and phosphorylated tau—which are all important markers of neuroinflammation-associated AD. Collectively, our results suggest that both the PET and DH GP may be useful, non-transgenic models to study brain aging and AD, respectively.