Biology subjects

Escobar Galvis, M. L.

Publications and source records attributed to Escobar Galvis, M. L..

6 recordsLinked to original sources

bioRxiv2026

Neuroinflammation is an early pathological process in a mouse model of prodromal Parkinsons disease

Approximately 90% of Parkinson's disease (PD) patients exhibit olfactory deficits, which often precedes motor symptoms by years, and are a robust predictor for PD and subsequent cognitive decline. Pathological changes in the PD olfactory system, particularly synuclein (Syn) pathology in the olfactory bulb (OB) and severe involvement of the anterior olfactory nucleus (AON), are distinct from normal aging. However, the causal link between Syn aggregation and functional impairment, potentially involving cytotoxicity and neuroinflammation, remains elusive. To investigate these early pathological events, we utilized a prodromal PD model that we have previously characterized, involving the unilateral OB injection of Syn preformed fibrils (PFF) in wild-type mice. This triggers the transneuronal spread of pathogenic Syn, and olfactory dysfunction starting at 1-month post-injections. Here we report on neuropathological and inflammatory events 1-3 month following injection of PFFs into the OB. Following PFF injection, Syn pSer129 pathology progressively accumulated bilaterally in the AON and ipsilateral in the piriform cortex (PCX) over three months. Stereological quantification revealed no significant neuronal loss in the AON or PCX during this 1-3 month interval, indicating that olfactory impairment precedes overt neurodegeneration. Instead, we identified the upregulation of pro-inflammatory genes (Il-1{beta} ; and Il-6), significant microglial reactivity, and sustained astrogliosis within olfactory structures. These findings identify neuroinflammation as a key early mediator linking Syn pathology to olfactory dysfunction in the absence of neuronal loss. This suggests a critical window for therapeutic intervention and highlights neuroinflammatory markers as potential biomarkers for the prodromal phase of PD.

neuroscience↗

bioRxiv2025

Whole-genome DNA methylation profiling in COVID-19 positive patients reveals alterations in pathways linked to neurological dysfunction

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible RNA betacoronavirus, causing coronavirus disease-19 (COVID-19). Infection with SARS-CoV-2 can result in a broad spectrum of clinical outcomes, ranging from asymptomatic or mild to a severe, deadly illness. Emerging evidence suggests SARS-CoV-2 affects host gene regulation through epigenetic mechanisms, such as DNA methylation, potentially contributing to immune dysregulation and post-acute sequelae, including neurological and psychiatric disorders. However, the extent and functional relevance of these epigenetic changes remain uncertain. Methods and resultsWe employed whole-genome bisulfite sequencing to profile DNA methylation in peripheral blood from SARS-CoV-2-positive patients across a spectrum of symptom severity, ranging from asymptomatic to severe (n=101), in comparison to SARS-CoV-2-negative individuals (n=105). We observed a widespread hypomethylation in the genomes of infected individuals, which was more pronounced in severe cases. Notably, we identified differentially methylated genes in patients with mild (19 genes), moderate (19 genes), and severe (35 genes) symptoms. These genes included those involved in canonical immune responses as well as known to be linked to neurodegenerative diseases. Subsequent pathway enrichment analysis further supported the significant association between the differentially methylated genes and those implicated in Alzheimers and Parkinsons disease, as well as neuropsychiatric conditions, suggesting potential epigenetic links between acute SARS-CoV-2 infection and long-term neurological outcomes. This is one of the first studies to comprehensively map severity-stratified genome-wide DNA methylation changes in COVID-19 patients. ConclusionOur findings underscore the potential importance of epigenetic regulation in the acute responses to SARS-CoV-2 infection and highlight an overlap with epigenetic mechanisms relevant for neuropsychiatric disease processes.

neuroscience↗

bioRxiv2023

A diverse proteome is present and enzymatically active in metabolite extracts

Metabolomics, a foundational tool in metabolism research, relies on the accurate transmittal of biochemical profiles underlying biological phenotypes. Over the years, workflows used in metabolomics have been assumed to remove enzymes to preserve metabolite levels during processing. Here, we uncover a diverse landscape of over 1,000 proteins, strongly enriched for metabolic enzymes, within metabolite extracts generated using common extraction workflows. Moreover, by combining in-extract stable isotope additions and enzyme inhibitors, we demonstrate transaminase activity, which is preventable by protein removal by 3 kDa filtration. We extend these findings to untargeted metabolomics, revealing that both post-extraction formation of glutamate dipeptide and depletion of total glutathione can also be prevented by removing proteins. Finally, we present a simple yet novel workflow that integrates passive filtration for protein removal of crude metabolite extracts as a superior method for broad-coverage metabolomics. Our findings have broad-reaching experimental implications across all fields that use metabolomics and molecular metabolism, especially cancer, immunology, and diabetes research.

biochemistry↗

bioRxiv2022

Combined single-sample metabolomics and RNAseq reveals a hepatic pyrimidine metabolic response to acute viral infection

ObjectiveMetabolomics and RNA sequencing (RNAseq) each provide powerful readouts of phenotype, and integration of these data can provide information greater than the sum of their parts. The ability to conduct such analysis on a single sample has many practical advantages, especially when dealing with rare or difficult-to-obtain samples. While methods exist to isolate multiple biomolecular subclasses from the same sample, in-depth analysis of the suitability of these approaches for multi- omics readouts is lacking. MethodsMice were injected with lymphocytic choriomeningitis virus (LCMV) or vehicle (Veh) control and liver tissue was harvested 2.5-days later. RNA was isolated from aliquots of pulverized liver tissue either following metabolite extraction using 80% methanol (MetRNA) or directly from frozen tissue (RNA). RNA sequencing data was evaluated by differential expression analysis via edgeR and dispersion using Ginis mean differences. Differential metabolite abundance was assessed using LIMMA. Pathway enrichment analysis was conducted on metabolomics and RNAseq data using MetaboAnalysts joint-integration tools. ResultsPrior metabolite extraction had no deleterious effects on quality or quantity of isolated RNA. RNA and MetRNA generated from the same sample clustered together by principal component analysis, indicating that inter-individual differences were the largest source of variance. Of the 2,169 genes that were differentially expressed between LCMV and Veh, the vast majority (n=1,848) were shared between extraction method, with the remainder evenly divided between RNA (n=165) and MetRNA (n=156). These differentially expressed genes unique to extraction method were attributed to randomness around the false discovery rate (FDR) = 0.05 cutoff and stochastic changes in variance estimation. Gini analysis further revealed that extraction method had no effect on the dispersion of detected transcripts across the entire dataset. To demonstrate the power of multi-omics integration on interrogated metabolic phenotypes, we next performed integrated pathway enrichment analysis on RNAseq data and metabolomics data. Our analysis revealed pyrimidine metabolism as the most impacted pathway by LCMV infection. Plotting up- and down-regulated genes and metabolites on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pyrimidine pathway exposed a pattern enzymatic degradation of pyrimidine nucleotides to generate the nucleobase uracil. Further, uracil was among the most differentially abundant metabolite in serum of LCMV infected mice, suggesting a novel mechanism of hepatic uracil export in acute infection response. ConclusionsWe demonstrate that prior metabolite extraction does not have a deleterious effect on RNAseq quality, which enables investigators to confidently perform metabolomics and RNAseq on the same sample. Implementation of this approach revealed a novel involvement of the hepatic pyrimidine metabolism during acute viral infection.

molecular biology↗

bioRxiv2019

Loss of one Engrailed1 allele enhances induced α-synucleinopathy

BackgroundParkinsons disease (PD) is a synucleinopathy that has multiple neuropathological characteristics, with nigrostriatal dopamine system degeneration being a core feature. Current models of PD pathology typically fail to recapitulate several attributes of the pathogenic process and neuropathology. We aimed to define the effects of combining a mouse model exhibiting multiple PD-like changes with intrastriatal injections of -synuclein (-syn) pre-formed fibrils (PFFs) aggregates. We employed the heterozygous Engrailed 1 (En1+/-) mouse that features several pathophysiological hallmarks of clinical PD. Objective: To test the hypothesis that the neuropathological changes in the En1+/- mice will promote formation of -syn aggregates following intrastriatal injections of pathogenic human -syn PFFs. Methods: We unilaterally injected PFFs into the striata of 1 month-old En1+/- and control wild-type mice and euthanized animals at 3 months for post-mortem analysis. Results: Using immunohistochemistry and unbiased stereology, we established that PFF-injected En1+/- mice exhibited a near-threefold increase in pS129--syn-positive neurons in the substantia nigra compared to PFF-injected wild-type mice. The PFF-injected En1+/- mice also displayed significant increases in pS129--syn-positive neurons in the amygdala and ventral tegmental area; regions of known PD pathology with projections to the striatum. Additionally, we observed amplified pS129--syn-positive aggregation in En1+/- mice in multiple cortical regions. Conclusions: Following intrastriatal injection of PFFs, absence of an En1 allele leads to additional aggregation of pathological -syn, potentially due to En1-loss mediated nigrostriatal impairment. We propose that further development of this double-hit model could be predictive of pre-clinical therapeutic potential and success for PD than existing mouse models.

neuroscience↗

bioRxiv2018

Experimental colitis drives enteric alpha-synuclein accumulation and Parkinson-like brain pathology

Intraneuronal accumulation of -synuclein (Syn) is key in the pathogenesis of Parkinsons disease (PD). Published studies suggest that this process begins in the enteric nervous system (ENS) and propagates into the brain decades before clinical diagnosis of PD. The triggers and mechanisms underlying the accumulation of Syn remain unknown but evidence is growing, that immune pathways and in particular colitis may play a critical role. Here we demonstrate that patients with inflammatory bowel disease (IBD) exhibit Syn accumulation in their colon. We then confirmed in an experimental model of IBD that intestinal inflammation can trigger Syn accumulation in the ENS of wildtype and Syn transgenic mice. We discovered that the type and degree of inflammation modulates the extent of Syn accumulation in the colon and that macrophage-related signaling limits this process. Remarkably, experimental colitis at three months of age exacerbated the accumulation of aggregated phospho-Serine 129 Syn in the midbrain, including the substantia nigra, in 21-month but not 9-month-old Syn transgenic mice. This was accompanied by loss of nigral tyrosine hydroxylase-immunoreactive neurons, another neuropathological hallmark of PD. Together, our data suggest a critical role for intestinal inflammation in the initiation and progression of PD.

neuroscience↗