Search bioRxiv⌕ Search

Biology subjects

Gaikwad, M.

Publications and source records attributed to Gaikwad, M..

4 recordsLinked to original sources

Sex differences in epigenetic mechanisms of chronic pain-induced depression

Chronic pain is a major risk factor for depression, yet the molecular mechanisms underlying this comorbidity remain poorly understood, particularly in women. To address this gap, we systematically investigated sex differences in the epigenomic adaptations associated with chronic pain-induced depressive-like behaviors. Neuropathic pain was induced in the mouse using the sciatic nerve cuff model, and molecular analyses were performed in the anterior cingulate cortex (ACC), a key brain region implicated in both pain and affective processing. We profiled genome-wide DNA methylation, three histone modifications (H3K27ac, H3K4me1, and H3K27me3), and gene expression using EM-seq, Cut&Tag sequencing, and RNA-seq, respectively. Differential analyses were conducted for each molecular layer and integrated through gene co-expression network analysis. We found that chronic pain induced extensive remodeling of DNA methylation and histone modification landscapes in both sexes. Strikingly, these changes occurred at largely distinct genomic loci in males and females, revealing pronounced sex-specific epigenetic responses. Despite this divergence, the affected regions displayed similar regulatory organization, including enrichment at shared genic features, transcription factor binding sites, and chromatin profiles. Importantly, these adaptations converged on partly overlapping genes, biological pathways, and co-expression modules across sexes. The most affected gene modules were predominantly associated with synapse-related processes, consistent with previous knowledge, and were closely connected to modules enriched for epigenetic regulatory functions. Together, these findings indicate that chronic pain engages sex-specific epigenetic mechanisms that ultimately converge on common functional outcomes. Such convergence highlights the potential value of targeting sex-specific epigenetic substrates in future therapeutic strategies.

neuroscience↗

Sex-divergent brain epigenetic reprogramming by chronic opioids

Opioid use disorder (OUD) is a chronic condition that exhibits sex differences in prevalence, symptoms and treatment. Yet, the epigenetic mechanisms underlying these differences remain largely unknown. Here, we investigated the nucleus accumbens, a key brain region in OUD, to define the multiomic consequences of chronic morphine exposure in male and female mice. We profiled DNA methylation, five histone post-translational modifications, and their transcriptional effects at bulk and cell-type-specific levels. Despite comparable tissue organization and neurophysiological responses to morphine, epigenetic adaptations occurred at highly sex-specific genomic loci. These adaptations nevertheless followed common mechanistic principles, acting at similar gene features and transcription factor binding sites across sexes. Strikingly, they converged on overlapping genes, biological functions, and co-expression modules, and partially recapitulated transcriptional signatures of OUD in men and women. Therefore, our findings uncover a profound epigenetic sex divergence that mediates convergent biological dysregulation, and highlight opportunities for developing improved therapeutic strategies tailored to sex-specific mechanisms.

neuroscience↗

An integrated strategy reveals complex glycosylation of erythropoietin using top-down and bottom-up mass spectrometry

The characterization of glycoproteins, like erythropoietin, is challenging due to the structural micro- and macro-heterogeneity of the protein glycosylation. This study presents an in-depth strategy for glycosylation analysis of a first-generation erythropoietin (epoetin beta), including a developed top-down mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). Extending the coverage of our newly developed Python script to phosphorylated N-glycans enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin. The site-specificity of N-glycans was revealed at glycopeptide level by pGlyco software using different proteases. In total, 215 N-glycan compositions were identified from N-glycan and glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two different O-glycan compositions, based on the mass shifts between non-O-glycosylated and O-glycosylated species. This integrated strategy allows the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes.

biochemistry↗

FLASHDeconv: Ultrafast, high-quality feature deconvolution for top-down proteomics

Feature deconvolution, the determination of intact proteoform masses, is crucial for top-down proteomics, but currently suffers from long runtimes and quality issues. We present FLASHDeconv, an algorithm based on a simple transformation of mass spectra, which turns deconvolution into the search for constant patterns thus greatly accelerating the process. We show higher deconvolution quality and two to three orders of magnitude faster execution speed than existing approaches.

bioinformatics↗