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Biology subjects

Veiga-Lopez, A.

Publications and source records attributed to Veiga-Lopez, A..

3 recordsLinked to original sources

High-throughput Virtual Screen of Endocrine-disrupting Chemicals Identifies Disruptors of EGFR Signaling

Chemical exposures during pregnancy are linked to an increased risk of pregnancy complications that contribute significantly to maternal and infant morbidity and mortality and can lead to long term health consequences for both the mother and the offspring. The placenta, a central regulator of pregnancy health, is a direct target of environmental toxicants. Epidermal growth factor receptor (EGFR), highly expressed in the placenta, regulates proliferation, migration, invasion, fusion, and cellular bioenergetics. To identify compounds of environmental concern with potential for EGFR-disrupting activity, we optimized a high-throughput virtual screening protocol for the identification of EGFR inhibitors and achieved enrichment factors of EF1% = 10.09, EF5% = 3.86, and EF10% = 3.0 in a benchmarking dataset. We applied this protocol to screen the Collaborative Estrogen Receptor Activity Prediction Project database, finding that top-scoring compounds were enriched for aromatic and fused-ring chemical classes, including dyes. Kinase activity assays revealed that two out of thirteen selected compounds, Vat Red 32 and Reactive Red 136, inhibited EGFR kinase activity with micromolar IC50 values. Additionally, pose refinement with molecular dynamics simulations characterized the binding interactions of Reactive Red 136 within the EGFR kinase domain, and functional assays in HTR-8/SVneo placental trophoblast cells showed that Reactive Red 136, but not Vat Red 32, partially attenuated EGF-mediated cell migration despite both compounds inhibiting EGFR kinase activity. Together, this study has generated an enriched dataset of candidate environmental EGFR modulators, with experimental validation confirming enrichment for EGFR-disrupting activity among the selected compounds. These results provide a valuable resource for toxicological studies.

pharmacology and toxicology↗

A Novel Network Approach to Identify Sample-Specific Context-Informed Metabolic Signatures During Developmental Processes

Metabolism plays an essential role in cellular processes: development, growth, differentiation, and determination of cell identity. Understanding how metabolic processes dynamically change across cell types, stages, and environmental conditions is crucial for studying developmental biology, aging, and disease progression. Genome-wide metabolic models (GEMs) are a powerful network-based tool for studying these processes by integrating omics data to model context-specific metabolism. However, current approaches, such as Flux Balance Analysis (FBA), have limitations in addressing the dynamic nature of metabolism across developmental stages at a sample-specific resolution. To address this, we introduce a novel network-based method for analyzing cell and stage specific metabolic flow using directed and weighted metabolic networks that account for sample-specific transcriptomic data. We apply this method to study ovarian follicle development, providing a deeper understanding of intra-cellular metabolic processes, identifying key metabolites, enzymes, and potential markers for follicular maturation, important for IVF. By incorporating biologically meaningful data, this approach bridges the gap between theoretical metabolic network models (GEMs) and experimental observations, offering a systems-level view of metabolic dynamics in developmental and understudied contexts.

bioinformatics↗

Accumulation of Dietary and Non-Enzymatic Oxysterols in Preeclamptic Placentas: Insights into Cholesterol Dynamics in Pregnancy Complications

Oxysterols--oxidized derivatives of cholesterol--play key roles in regulating lipid metabolism, oxidative stress, and immune signaling. Despite their biological importance, their presence and function in human placental tissue remain poorly understood, particularly in pregnancy complications such as preeclampsia. Preeclampsia is a hypertensive disorder of pregnancy associated with oxidative stress and altered lipid homeostasis. This study profiled both dietary and non-enzymatic oxysterols in third-trimester human placentas from healthy term pregnancies and those complicated with preeclampsia, delivered at term or preterm and term. Findings indicate significantly higher oxysterol levels in preeclamptic placentas, particularly for 7-ketcholesterol (7-Keto) and 5,6{beta}-cholestanetriol, (Triol) regardless of gestational age. 5{beta},6{beta}-epoxycholesterol (OCallaghan, Woods, & OBrien, 2001) was higher in term preeclampsia, while total cholesterol levels were significantly lower in preeclamptic placentas. Correlation analyses revealed distinct associations between oxysterols, cholesterol, and total fat content, indicating unique oxidative signatures in preeclamptic pregnancies. These findings contribute to a growing body of evidence suggesting that altered oxysterol profiles may reflect oxidative stress and placental dysfunction. While causality cannot be inferred, oxysterol profiling may hold potential as a complementary biomarker strategy for identifying pregnancies at risk of adverse outcomes.

physiology↗