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Song, R. W.

Publications and source records attributed to Song, R. W..

2 recordsLinked to original sources

Protein hunger-driven nitrogen flow from phospholipids to amino acids inDrosophila

Protein is unique among macronutrients due to its nitrogen content and that its building blocks, essential amino acids, cannot be synthesized by animals. Additionally, animals lack specialized amino acid storage sites, necessitating a continuous dietary intake. In the face of insufficient dietary protein, how do animals manage nitrogen limitation? Using Drosophila, we reveal a previously undocumented nitrogen flow from phospholipids to amino acids, a process enhanced by protein deprivation. Protein restriction triggers the degradation of phosphatidylethanolamine (PE), releasing the nitrogen-containing headgroup, ethanolamine, which subsequently serves a dual function. Ethanolamine stimulates protein intake by activating protein hunger neurons and, remarkably, along with phosphoethanolamine, donates nitrogen for amino acid biosynthesis. This nitrogen transfer is mediated by the microbiome and ethanolamine-phosphate phospho-lyase (ETNPPL) pathway in fly cells. Together, our findings identify phospholipids as a hidden nitrogen reservoir and reveal an unrecognized metabolic plasticity that reallocates nitrogen to maintain protein homeostasis.

physiology↗

The Physiological Component of the BOLD Signal: Impact of Age and Heart Rate Variability Biofeedback Training

Aging is associated with declines in autonomic nervous system (ANS) function, including reduced heart rate variability (HRV), impaired neurovascular coupling, and diminished cerebrovascular responsiveness--factors that may contribute to cognitive decline and neurodegenerative diseases. Understanding how aging alters physiological signal integration in the brain is crucial for identifying potential interventions to promote brain health. This study examines age-related differences in how cardiac and respiratory fluctuations influence the blood oxygenation level-dependent (BOLD) signal, using two independent resting-state fMRI datasets with concurrent physiological recordings from younger and older adults. Our findings reveal significant age-related reductions in the percent variance of the BOLD signal explained by heart rate (HR), respiratory variation (RV), and end-tidal CO2, particularly in regions involved in autonomic regulation, including the orbitofrontal cortex, anterior cingulate cortex, insula, basal ganglia, and white matter. Cross-correlation analysis also revealed that younger adults exhibited stronger HR-BOLD coupling in white matter, as well as a more rapid BOLD response to RV and CO2 in gray matter. Additionally, we investigated the effects of heart rate variability biofeedback (HRV-BF) training, a non-invasive intervention designed to modulate heart rate oscillations. The intervention altered physiological-BOLD coupling in an age- and training-dependent manner: older adults who underwent HRV-BF to enhance HR oscillations exhibited a shift toward younger-like HR-BOLD coupling patterns, while younger adults who trained to suppress HR oscillations showed increased CO2-BOLD coupling. These findings suggest that HRV-BF may help mitigate age-related declines in autonomic or cerebrovascular function. Overall, this study underscores the role of physiological dynamics in brain aging and highlights the importance of considering autonomic function when interpreting BOLD signals. By demonstrating that HRV-BF can modulate physiological-BOLD interactions, our findings suggest a potential pathway for enhancing cerebrovascular function and preserving brain health across the lifespan.

neuroscience↗