Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.01.16.575951

Pharmacogenomics Guided Spaceflight: the intersection between space-flown drugs and space genes

Abstract

Ten years ago, it was predicted that the multi-omics revolution would also revolutionize space pharmacogenomics. Current barriers related to the findable, accessible, interoperable, and reproducible use of space-flown pharmaceutical data have contributed to a lack of progress beyond application of earth-based principles. To directly tackle these challenges, we have produced a novel database of all the drugs flown into space, compiled from publicly available ontological and spaceflight-related datasets, to exemplify analyses for describing significant spaceflight-related targets. By focusing on mechanisms perturbed by spaceflight, we have provided a novel avenue for identifying the most relevant changes within the drug absorption, distribution, metabolism, and excretion pathways. We suggest a set of space genes, by necessity limited to available tissue types, that can be expanded and modified based on future tissue-specific and mechanistic-specific high-throughput assays. In sum, we provide the justification and a definitive starting point for pharmacogenomics guided spaceflight as a foundation of precision medicine, which will enable long-term human habitation of the Moon, Mars, and beyond. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/575951v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@48f739org.highwire.dtl.DTLVardef@5ecdb0org.highwire.dtl.DTLVardef@121c93org.highwire.dtl.DTLVardef@1122b3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Nelson, T. M., Rose, J. K., Walter, C. E., Cervantes-Navarro, G. L., Schmidt, C. M., Lin, R., Alexander, E., Zheng, J. T., Glicksberg, B. S., Schmidt, J. C., Overbey, E., Rana, B., Patel, H., Schmidt, M. A., Mason, C. E.. 2024-01-20. Pharmacogenomics Guided Spaceflight: the intersection between space-flown drugs and space genes. https://doi.org/10.1101/2024.01.16.575951

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A metastable GαS/β-arrestin complex sustains endosomal PTH1R signaling

G protein-coupled receptors (GPCRs) initiate cellular signaling by activating heterotrimeric G proteins at the plasma membrane and are silenced when beta-arrestin binds the phosphorylated receptor, preventing G protein binding. However, many receptors continue to generate cAMP after internalization, even while barr is bound, a paradox that lacked a molecular mechanism in live cells. A direct barrestin1-Gas interface in the PTH1R-barr1-Gas complex has recently been defined structurally, but whether the complex operates in endosomes, and how it behaves there, has not been established. Using intact cells, we examine the assembly at three spatial resolutions. Confocal imaging with a nanobody selective for nucleotide-free Gas places activated Gas, barr, and agonist-occupied PTH1R on the same endosomes. Single-molecule localization microscopy, with illumination modes that separate the plasma membrane from the endosomal membrane in single cells, shows that the agonist recruits Gas and barr at both membranes. FRET, however, reveals a specific interaction only on endosomes, where a Gas inhibitor restricted to that compartment abolishes the sustained cAMP phase without affecting receptor internalization. Weighted-ensemble-enhanced molecular simulations show that the complex is metastable, releasing Gas through a large rigid-body rotation away from barr while barr itself tightens its interactions with the receptor. These findings provide a molecular basis for endosomal Gs/cAMP signaling and open a new avenue for drug development targeting this pathway.

pharmacology and toxicology↗

Advancing AOPs for genotoxicity through quantifying KERs linking DNA alkylation to increase in mutations and chromosome aberrations

Quantitative Adverse Outcome Pathways (qAOPs) help translate mechanistic knowledge into quantitative toxicity predictions; however, their development is constrained by the limited availability and heterogeneity of quantitative data. Here, we investigated the feasibility of developing a qAOP for genotoxicity by modeling quantitative relationships linking DNA alkylation to increased mutations and structural chromosome aberrations through intermediate biological key events (KEs). We compiled and harmonized published concentration-response data from human lymphoblastoid TK6 cells exposed to ethyl methanesulfonate, methyl methanesulfonate, or N-ethyl-N-nitrosourea, covering eight genotoxicity assays representing five KEs with well-established dependencies. We evaluated sources of variability, compared points of departure (PoDs), and quantified relationships between successive events using response-response modeling. Substantial between-study variability could to a limited extent be explained through differences in experimental design while batch effects for individual studies and researchers were substantial. PoD estimates that were calculated from combined results of independent studies with similar experimental design, were often uncertain due to insufficient concentration-response characterization or conflicting results between studies. Nevertheless, response-response modeling suggested a threshold effect for certain key-event relationships (KERs). Specifically, DNA adducts seemed to be triggered at lower concentrations of alkylating agents compared to the subsequent KEs of DNA strand breaks and chromosome aberrations. Furthermore, these fitted response-response models can be used for prediction of downstream KEs from earlier ones. The general approach we developed for BMC analysis followed by response-response modeling is applicable to other AOPs as well. These findings highlight both the feasibility and limitations of using existing data for qAOP development.

pharmacology and toxicology↗

Denaturation-sensitive BRET probes enable intracellular thermal shift measurements across diverse protein targets and biomolecular complexes

Thermal shift assays have revolutionized drug discovery, but can be limited in sensitivity and scalability. Combining the unique attributes of differential scanning fluorimetry (DSF) and cellular thermal shift (CETSA), we report the methodological framework for the bioluminescence resonance energy transfer shift assay (BRETSA). BRETSA utilizes denaturation sensitive BRET probes, in combination with luciferase-tagged target proteins, to track and longitudinally record thermal shift in living cells. Denaturation profiles were successfully measured for over 500 globular proteins, spanning 24 target families in diverse cellular compartments. Among these, target engagement was confirmed for over 200 proteins; including validated drug targets as well as understudied members of the kinase subfamily. Leveraging orthosteric, allosteric, and covalent ligands in potency studies, this method offers improved sensitivity and scalability compared to other thermal shift methods. We extend the utility of BRETSA to interrogate target engagement at biomolecular complexes and query cooperative binding for molecular glues and emerging tricomplex drug modalities.

pharmacology and toxicology↗