Longevity Papers

Aging results in a loss of metabolic flexibility during fasting, characterized by the inability to acutely switch between metabolic substrates and reduced lipid mobilization. However, the drivers of these effects intracellularly remain unclear. Here, in Caenorhabditis elegans, we show that loss of coordinated inter-organelle dynamics causally initiates metabolic inflexibility with age. In young animals, peroxisomes emerge as the priming orchestrators of the fasting response, simultaneously governing lipid droplets (LDs) utilization and mitochondrial bioenergetics. With age, peroxisomal priming is lost, leading to mitochondrial fragmentation and impaired dynamic nutrient responses during fasting. Notably, dietary restriction (DR) exerts a rejuvenating effect on peroxisomal function, thereby preserving mitochondrial integrity and promoting longevity. Our study uncovers the expansive network of organelles enabling lipid mobilization during youth, providing critical context to the poorly understood role of peroxisomes in actively maintaining organelle homeodynamics and metabolic flexibility throughout the aging process.

Exercise can improve health via skeletal muscle remodeling. Elucidating the underlying mechanism may lead to new therapeutics for aging-related loss of skeletal muscle mass. Here, we show that endurance exercise suppresses expression of YT521-B homology domain family (Ythdf1) in skeletal muscle, which recognizes the N6-methyladenosine (m6A). Ythdf1 deletion phenocopies endurance exercise-induced muscle hypertrophy in mice increases muscle mitochondria content and type I fiber specification. At the molecular level, Ythdf1 recognizes and promotes the translation of m6A-modified Mstn mRNA, which encodes a muscle growth inhibitor, Myostatin. Loss of Ythdf1 leads to hyperactivation of skeletal muscle stem cells (MuSCs), also called satellite cells (SCs), enhancing muscle growth and injury-induced regeneration. Our data reveal Ythdf1 as a key regulator of skeletal muscle homeostasis, provide insights into the mechanism by which endurance exercise promotes skeletal muscle remodeling and highlight potential strategies to prevent aging-related muscle degeneration.

The aging brain experiences a significant decline in proteasome function. The proteasome is critical for many key neuronal functions including neuronal plasticity, and memory formation/retention. Treatment with proteasome inhibitors impairs these processes. Our study reveals a marked reduction in 20S and 26S proteasome activities in aged mice brains, including in the hippocampus, this is driven by reduced functionality of aged proteasome. The decline in proteasome activity is matched by a decline in 20S proteasome assembly. In contrast, 26S proteasome assembly was found to increase with age, though 26S proteasome activity was still found to decline. Our data suggests that age-related declines in proteasome activity is driven predominantly by reduced functionality of proteasome rather than altered composition. By overexpressing the proteasome subunit PSMB5 in the neurons of mice to increase the proteasome content and thus enhance its functionality, we slowed age-related declines in spatial learning and memory. We then showed acute treatment with a proteasome activator to rescue spatial learning and memory deficits in aged mice. These findings highlight the potential of proteasome augmentation as a therapeutic strategy to mitigate age-related cognitive declines.

Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large omic datasets, in order to study biological aging at the molecular level. We develop an advanced multi-view graph-level representation learning (MGRL) framework that integrates prior biological network information, to build molecular aging clocks at cell-type resolution, which we subsequently interpret using XAI. We apply this framework to one of the largest single-cell transcriptomic datasets encompassing over a million immune cells from 981 donors, revealing a ribosomal gene subnetwork, whose expression correlates with age independently of cell-type. Application of the same DL-XAI framework to DNA methylation data of sorted monocytes reveals an epigenetically deregulated inflammatory response pathway whose activity increases with age. We show that the ribosomal module and inflammatory pathways would not have been discovered had we used more standard machine-learning methods. In summary, the computational deep learning framework presented here illustrates how deep learning when combined with explainable AI tools, can reveal novel biological insights into the complex process of aging.

Longevity individuals have lower susceptibility to chronic hypoxia, inflammation, oxidative stress, and aging-related diseases. It has long been speculated that "rejuvenation molecules" exist in their blood to promote extended lifespan. We unexpectedly discovered that longevity individuals exhibit erythrocyte oxygen release function similar to young individuals, whereas most elderly show reduced oxygen release capacity. Untargeted erythrocyte metabolomics profiling revealed that longevity individuals are characterized by youth-like metabolic reprogramming and these metabolites effectively differentiate the longevity from the elderly. Quantification analyses led us to identify multiple novel longevity-related metabolites within erythrocytes including adenosine, sphingosine-1-phosphate (S1P), and glutathione (GSH) related amino acids. Mechanistically, we revealed that increased bisphosphoglycerate mutase (BPGM) and reduced MFSD2B protein levels in the erythrocytes of longevity individuals collaboratively work together to induce elevation of intracellular S1P, promote the release of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) from membrane to the cytosol, and thereby orchestrate glucose metabolic reprogramming toward Rapoport-Luebering Shunt to induce the 2,3-BPG production and trigger oxygen delivery. Furthermore, increased glutamine and glutamate transporter expression coupled with the enhanced intracellular metabolism underlie the elevated GSH production and the higher anti-oxidative stress capacity in the erythrocytes of longevity individuals. As such, longevity individuals displayed less systemic hypoxia-related metabolites and more antioxidative and anti-inflammatory metabolites in the plasma, thereby healthier clinical outcomes including lower inflammation parameters as well as better glucose-lipid metabolism, and liver and kidney function. Overall, we identified that youthful erythrocyte function and metabolism enable longevity individuals to better counteract peripheral tissue hypoxia, inflammation, and oxidative stress, thus maintaining healthspan.