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Aikins, M.

Publications and source records attributed to Aikins, M..

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Hepatoprotective Effects of Vernonia amygdalina Leaf Extract: In Vivo and In Silico Evidence Against Ethanol-Induced Liver Injury

Alcoholic liver disease (ALD) remains a major global health burden with limited therapeutic options. In this study, we investigated the hepatoprotective effects of Vernonia amygdalina (VA) leaf extract against ethanol-induced liver injury using integrated in vivo and in silico approaches. Wistar rats were exposed to ethanol to induce liver damage, followed by treatment with VA extract (100-300 mg/kg) or silymarin (50 mg/kg). Liver function indices were evaluated through biochemical analysis. Network pharmacology analysis was performed to identify active compounds and their protein targets, and molecular docking assessed the binding affinities of key compounds. Ethanol exposure markedly increased serum SGOT, SGPT, ALKP, and total bilirubin while decreasing total protein and albumin. VA treatment significantly corrected these alterations in a dose-dependent manner. At 300 mg/kg, VA reduced SGPT from 110.31 to 88.65 U/mL, ALKP from 52.20 to 28.14 U/mL, and total bilirubin from 1.19 to 0.59 g/dL. Network pharmacology revealed flavonoids and sesquiterpene lactones as key active compounds targeting ALD-relevant proteins, including AKT1, CASP3, and HSP90AA1. Molecular docking demonstrated strong binding affinities (-9.5 kcal/mol) of cryptolepine, luteolin, and apigenin with AKT1 and HSP90AA1. VA provides both biochemical and mechanistic protection against ethanol-induced liver damage, highlighting its therapeutic potential in ALD management.

pharmacology and toxicology↗

Associations of Socioeconomic Disparities With Buccal DNA-Methylation Measures Of Biological Aging

BackgroundIndividuals who are socioeconomically disadvantaged are at increased risk for aging-related diseases and perform less well on tests of cognitive function. The Weathering Hypothesis proposes that these disparities in physical and cognitive health arise from an acceleration of biological processes of aging. Theories of how life adversity is biologically embedded identify epigenetic alterations, including DNA methylation (DNAm), as a mechanistic interface between the environment and health. Consistent with the Weathering hypothesis and theories of biological embedding, recently developed DNAm algorithms have revealed profiles reflective of more advanced aging and lower cognitive function among socioeconomically-at-risk groups. These DNAm algorithms were developed using blood-DNA, but social and behavioral science research commonly collect saliva or cheek-swab DNA. This discrepancy is a potential barrier to research to elucidate mechanisms through which socioeconomic disadvantage affects aging and cognition. We therefore tested if social gradients observed in blood-DNAm measures could be reproduced using buccal-cell DNA obtained from cheek swabs. ResultsWe analyzed three DNAm measures of biological aging and one DNAm measure of cognitive performance, all of which showed socioeconomic gradients in previous studies: the PhenoAge and GrimAge DNAm clocks, DunedinPACE, and Epigenetic-g. We first computed blood-buccal cross-tissue correlations in n=21 adults (GEO111165). Cross-tissue correlations were low-to-moderate across (r=.25 to r=.48). We next conducted analyses of socioeconomic gradients using buccal DNAm data from SOEP-G (n=1128, 57% female; age mean=42 yrs, SD=21.56, range 0-72). Associations of socioeconomic status with DNAm measures of aging were in the expected direction, but were smaller as compared to reports from blood DNAm datasets (r=-.08 to r=-.13). ConclusionsOur findings are consistent with the hypothesis that socioeconomic disadvantage is associated with DNAm indicators of worse physical and cognitive health. However, relatively low cross-tissue correlations and attenuated effect-sizes for socioeconomic gradients in buccal DNAm compared with reports from analysis of blood DNAm suggest that, in order to take full advantage of buccal-DNA samples, DNAm algorithms customized to buccal DNAm are needed.

developmental biology↗