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Ganeshalingam, M.

Publications and source records attributed to Ganeshalingam, M..

2 recordsLinked to original sources

MALDI-TOF imaging mass spectrometry demonstrates sex- and age-dependent spatial changes in brain energy metabolism in response to amyloid stress using a mouse model of Alzheimers Disease

Alzheimer's disease (AD) is the most common form of dementia, and no therapies currently exist that prevent or slow its progression. Lactate has recently emerged as both an energy substrate and a signaling molecule required for memory formation, acting in part through a novel epigenetic mechanism termed histone lactylation. Here, we used matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) imaging mass spectrometry and immunofluorescence microscopy to spatially map lactate, glutamate, pyruvate, and citrate levels, alongside histone lactylation, in the brains of wild type and AD transgenic mice at 6 and 18 months of age. Lactate and glutamate were highest in young animals and declined with age, while pyruvate showed the inverse pattern. These shifts were most pronounced in females, and pyruvate-to-lactate and pyruvate-to-citrate ratios suggested a progressive, region-specific shift from glycolytic to oxidative metabolism. Sex was a dominant determinant of cerebral metabolite distribution: females maintained consistently higher lactate and glutamate than males at both ages, indicating a sex-specific metabolic phenotype that persists across physiological aging. Elevated lactate levels were paralleled by increased histone lactylation in aged females, particularly within the cortex and CA2/CA3 hippocampal subregion, and in transgenic females lactylation was enriched in putative microglia near amyloid plaques. Lactate and histone lactylation were positively correlated in wild type mice, consistent with a lactate-driven epigenetic mechanism possibly in microglia, but this relationship was weakened or absent in transgenic mice despite elevated plaque-adjacent lactylation, suggesting amyloid pathology decouples metabolic state from epigenetic regulation. These findings identify sex as a major, underappreciated variable shaping brain metabolic-epigenetic coupling during aging and amyloid stress. Together, these results implicate sex-specific lactate metabolism and lactylation signaling as potential contributors to differential AD vulnerability, and underscore the need to incorporate sex as a biological variable in future studies of metabolic-epigenetic mechanisms and therapeutic targeting in AD.

neuroscience↗

Exploring the impacts of human breast milk functional lipidome on infant health and growth outcomes in early life using lipid bioinformatics

Human breast milk lipidome is complex, and how changes in the functional lipid metabolism converge systematically to alter infants health outcomes is poorly understood. We used human breast milk and infant-mother dyads as a test system to demonstrate how the application of improved lipid bioinformatics can be effective in discerning systematic changes in functional lipid metabolism providing novel discoveries of how lactational programming in early life can influence infant health and growth outcomes. The study consisted of 40 mother-infant dyads where breast milk, maternal diet, infant anthropometrics [fat mass index (FMI), length z score, BMI z score, fat-free mass index (FFMI)], and infant atopic disease outcome (ear infection, cold, wheezing, diarrhea, and eczema) were collected at one and four months postpartum. Integrated Lipid Bioinformatics analyses were conducted using XLSTAT, Metaboanalyst 5.0. R software, Lipid Search, Xcalibur, and Cytoscape software. The results showed breast milk lipidome ordinated into distinct clusters based on maternal BMI status, and differences in developmental and atopic disease outcomes following redundancy analysis. Specifically, lipids from obese mothers clustered with FMI and eczema, while lipids from non-obese mothers clustered with FFM and wheezing. Receiver operating analysis was effective in identifying potential lipid biomarkers that were significantly associated with infant FMI, FFMI, and eczema during early life. Sphingolipid and glycerophospholipid pathways were significantly associated with the altered breast milk lipidome impacting infant development and atopic disease outcome during the first year of life. The findings following the advanced lipid bioinformatics suggest that the breastmilk functional lipid metabolism appears to play a key role in lipid-mediated lactational programming influencing development and atopic disease outcome, and present opportunities for potential dietary intervention in early life.

bioinformatics↗