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Rodriguez, M. L.

Publications and source records attributed to Rodriguez, M. L..

4 recordsLinked to original sources

Unveiling the Toxicological and Allelopathic Effects of Pteridium aquilinum: Chemical Profiling and Biological Assays

The fern Pteridium aquilinum (bracken) is among the world most widespread plants and poses serious ecological and health risks due to the presence of illudane glycosides (IGs), carcinogenic compounds that particularly affect grazing livestock. This study determined the presence of IGs in plant extracts and in water samples from the Asturias region (northern Spain), an area characterized by intensive cattle farming, and assessed the genotoxic potential, and allelopathic effects of these samples. The glycosides ptaquiloside (PTA) and ptesculentoside (PTE), together with the degradation products pterosin A and pterosin B, were quantified in in vitro-cultured gametophytes and young sporophytes, spring-collected croziers, and autumn water samples from several bracken-infested sites. All sampling locations contained IGs in both plant and water samples, with particularly high concentrations of PTA detected in croziers from Brana Vieja (Somiedo), where cattle deaths had been reported. In vivo genotoxicity assays, using Drosophila melanogaster, revealed induction of somatic mutations and recombination events by aqueous plant extracts and of somatic mutations by water samples. The genotoxic activity of plant extracts, but not that of water samples, was associated with pterosins A and B. Moreover, comet assays in cultured human cells confirmed the genotoxic activity of plant extracts. Unexpectedly, allelopathic bioassays indicated a possible phytostimulatory rather than inhibitory effect of bracken extracts on the germination of meadow species. These findings underscore the widespread presence and biological activity of bracken in northern Spain and highlight the urgent need for management strategies to mitigate the ecological and toxicological threats posed by bracken proliferation.

pharmacology and toxicology↗

MDL-001: An Oral, Safe, and Well-Tolerated Broad-Spectrum Inhibitor of Viral Polymerases

Endemic viral respiratory illnesses caused by influenza, RSV, and coronaviruses impose a global disease burden of hundreds of millions of infections and hundreds of thousands of deaths annually. Chronic hepatitis B and C infections persist in 254 million and 58 million people worldwide, respectively. No approved therapy addresses these viruses simultaneously. MDL-001 is an oral, direct-acting, broad-spectrum antiviral targeting the Thumb-1 allosteric site of viral polymerases. Here, we report MDL-001 inhibits influenza A/B, RSV, SARS-CoV-2, endemic human coronaviruses, and hepatitis B/C/D viruses with nanomolar EC90 potency in vitro. MDL-001 demonstrated equivalent in vivo efficacy to oseltamivir against mouse-lethal influenza A virus infection, reducing lung viral load by 2.6 log10 and preventing weight loss and mortality. MDL-001 demonstrated equivalent symptom reduction to subcutaneous remdesivir after SARS-CoV-2 infection. MDL-001 treatment reduced SARS-CoV-2 lung viral titers by 2.9 log10, superior to literature reported 1.4 log10 and 1.0 log10 reductions for nirmatrelvir and molnupiravir, respectively. MDL-001 reduced HCV viremia by 3.3 log10, equivalent to sofosbuvir. Oral MDL-001 reduced plasma HBV surface antigen by 2.5 log10, exceeding tenofovir alafenamide from Day 8 through Day 21. MDL-001 demonstrated an in vitro EC50 of 79.4 nM against infection with RSV strain A2, a 416-fold improvement over literature-reported ribavirin. Oral pharmacokinetics studies demonstrate MDL-001 is rapidly absorbed and partitioned into Lung (Kp=39-52) and Liver (Kp=71-104) tissues. MDL-001 produced no treatment-related adverse events across 376 animals and showed no hERG, Ames genotoxicity, or micronucleus safety issues. These findings support MDL-001 as a broad-spectrum, direct-acting non-nucleoside antiviral clinical candidate.

pharmacology and toxicology↗

Global landscape of the host response to SARS-CoV-2 variants reveals viral evolutionary trajectories

A series of SARS-CoV-2 variants of concern (VOCs) have evolved in humans during the COVID-19 pandemic--Alpha, Beta, Gamma, Delta, and Omicron. Here, we used global proteomic and genomic analyses during infection to understand the molecular responses driving VOC evolution. We discovered VOC-specific differences in viral RNA and protein expression levels, including for N, Orf6, and Orf9b, and pinpointed several viral mutations responsible. An analysis of the host response to VOC infection and comprehensive interrogation of altered virus-host protein-protein interactions revealed conserved and divergent regulation of biological pathways. For example, regulation of host translation was highly conserved, consistent with suppression of VOC replication in mice using the translation inhibitor plitidepsin. Conversely, modulation of the host inflammatory response was most divergent, where we found Alpha and Beta, but not Omicron BA.1, antagonized interferon stimulated genes (ISGs), a phenotype that correlated with differing levels of Orf6. Additionally, Delta more strongly upregulated proinflammatory genes compared to other VOCs. Systematic comparison of Omicron subvariants revealed BA.5 to have evolved enhanced ISG and proinflammatory gene suppression that similarly correlated with Orf6 expression, effects not seen in BA.4 due to a mutation that disrupts the Orf6-nuclear pore interaction. Our findings describe how VOCs have evolved to fine-tune viral protein expression and protein-protein interactions to evade both innate and adaptive immune responses, offering a likely explanation for increased transmission in humans. One sentence summarySystematic proteomic and genomic analyses of SARS-CoV-2 variants of concern reveal how variant-specific mutations alter viral gene expression, virus-host protein complexes, and the host response to infection with applications to therapy and future pandemic preparedness.

systems biology↗

Characterization of Integrase and Excisionase Activity in Cell-free Protein Expression System Using a Modeling and Analysis Pipeline

We present a full-stack modeling, analysis, and parameter identification pipeline to guide the modeling and design of biological systems starting from specifications to circuit implementations and parameterizations. We demonstrate this pipeline by characterizing the integrase and excisionase activity in cell-free protein expression system. We build on existing Python tools -- BioCRNpyler, AutoReduce, and Bioscrape -- to create this pipeline. For enzyme-mediated DNA recombination in cell-free system, we create detailed chemical reaction network models from simple high-level descriptions of the biological circuits and their context using BioCRNpyler. We use Bioscrape to show that the output of the detailed model is sensitive to many parameters. However, parameter identification is infeasible for this high-dimensional model, hence, we use AutoReduce to automatically obtain reduced models that have fewer parameters. This results in a hierarchy of reduced models under different assumptions to finally arrive at a minimal ODE model for each circuit. Then, we run sensitivity analysis-guided Bayesian inference using Bioscrape for each circuit to identify the model parameters. This process allows us to quantify integrase and excisionase activity in cell extracts enabling complex-circuit designs that depend on accurate control over protein expression levels through DNA recombination. The automated pipeline presented in this paper opens up a new approach to complex circuit design, modeling, reduction, and parameterization.

synthetic biology↗