Biology subjects

Thomas, S. P.

Publications and source records attributed to Thomas, S. P..

7 recordsLinked to original sources

bioRxiv2024

Empirically establishing drug exposure records directly from untargeted metabolomics data

Despite extensive efforts, extracting information on medication exposure from clinical records remains challenging. To complement this approach, we developed the tandem mass spectrometry (MS/MS) based GNPS Drug Library. This resource integrates MS/MS data for drugs and their metabolites/analogs with controlled vocabularies on exposure sources, pharmacologic classes, therapeutic indications, and mechanisms of action. It enables direct analysis of drug exposure and metabolism from untargeted metabolomics data independent of clinical records. Our library facilitates stratification of individuals in clinical studies based on the empirically detected medications, exemplified by drug-dependent microbiota-derived N-acyl lipid changes in a cohort with human immunodeficiency virus. The GNPS Drug Library holds potential for broader applications in drug discovery and precision medicine.

bioinformatics↗

bioRxiv2024

Perinatal ampicillin administration modulates murine bile acid metabolism in vivo - an observational study

Antibiotics are an indispensable tool of modern medicine, yet their impact extends beyond eliminating harmful bacteria to perturbing the commensal bacteria constituting the gut microbiome. This collateral damage is particularly significant in early life when the gut microbiome is still developing. In humans, antibiotic administration during infancy and childhood is associated with various long-term negative health outcomes. However, existing research has predominantly focused on the direct administration of antibiotics to infants, leaving uncertainties about whether indirect antibiotic exposure produces similar effects. Here, we use mouse models to investigate how three distinct routes of exposure to the commonly prescribed broad-spectrum antibiotic ampicillin influences parent and infant metabolism. These methods simulate major modes of both direct and indirect antibiotic exposure: intravenous antibiotic administration to the mother immediately before birth mimicking intrapartum antibiotic prophylaxis, antibiotic use by the mother during lactation, and direct administration to infants mimicking empiric antibiotic treatment for neonatal sepsis. Through untargeted metabolomics of fecal samples from mouse dams and infants, we identified one class of compounds, bile acids and related cholane steroids, as particularly sensitive to ampicillin treatment. Bile acids, produced by the host and extensively modified by the gut microbiome, serve as important mediators in the cross-talk between the microbiota and the host. Here, we detail the coordinated changes in bile acid metabolism in response to a commonly prescribed antibiotic, focusing on dams treated both pre- and postpartum. Additionally, we identify unique bile acids associated with weight gain in infant mice. ImportanceAntibiotics are widely used perinatally, administered to both parents and infants before, during, and after birth. While they can play a life-saving role, antibiotics also result in collateral damage to the beneficial microbes constituting the gut microbiome. These microbes have many important functions, particularly in the metabolism of small molecules in the body. One such group of molecules, bile acids, undergo extensive modifications by bacteria and may act as a "language" through which microbes communicate with the host. This observational study investigates the impact of the commonly prescribed antibiotic ampicillin on the metabolism of these molecules during childbirth. Our results indicate that ampicillin administration pre- or post-partum significantly alters the mothers bile acid metabolism, but has a minimal influence on infant bile acid levels. However, in all cases, ampicillin administration significantly increased infant weight, even when the antibiotic was solely administered to the mother.

pharmacology and toxicology↗

bioRxiv2023

Groundwater redox dynamics across the terrestrial-aquatic interface of Lake Erie coastal ecosystems

Groundwater biogeochemistry in coastal areas is spatially and temporally dynamic because fluctuations in groundwater level may cause alternate redox between distinct hydrological conditions. Recent studies have proposed connections between biogeochemistry and large-scale hydrological processes, specifically focusing on the role of redox-active compounds in changing the oxidation state during flooding and draining events. While water saturation generally results in a shift of redox-active compounds from electron donors to acceptors, the specific mechanisms underlying the transition of groundwater between oxidizing and reducing conditions in response to water level fluctuations are uncertain. To determine the effects of groundwater levels on redox dynamics, we monitored groundwater redox potential across the terrestrial-aquatic interface in Lake Erie coastal areas throughout the high and low-water seasons. In contrast to previously observed responses to flooding in soils, our results revealed patterns of oxidizing redox potentials during high-water and reducing during low-water periods. Furthermore, short-term fluctuations in water table levels significantly impacted the redox potential of groundwater when dissolved oxygen increased, and redox dynamics displayed voltage hysteresis in most events. Based on these findings, we propose that for improved predictions of microbial functions and biogeochemical cycles, redox-informed models should incorporate the antagonistic changes in groundwater redox balance compared to soils and consider the time lags in redox fluctuations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=92 SRC="FIGDIR/small/544684v1_figu1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@4d7a19org.highwire.dtl.DTLVardef@8b2b92org.highwire.dtl.DTLVardef@d9bc11org.highwire.dtl.DTLVardef@ca3e13_HPS_FORMAT_FIGEXP M_FIG Graphical AbstractConceptual diagram of groundwater redox fluctuations in coastal ecosystems. Large redox fluctuations are derived by dissolved oxygen inputs and smaller more frequent redox fluctuations are led by redox sensitive species leaching from topsoil. C_FIG

ecology↗

bioRxiv2022

Trimethylamine N-oxide reduces neurite density and plaque intensity in a murine model of Alzheimer disease

BackgroundAlzheimers disease (AD) is the most common aging-associated neurodegenerative disease; nevertheless, the etiology and progression of the disease is still incompletely understood. We have previously shown that the microbially-derived metabolite trimethylamine N-oxide (TMAO) is elevated in the cerebrospinal fluid (CSF) of individuals with cognitive impairment due to AD and positively correlates with increases in CSF biomarkers for tangle, plaque, and neuronal pathology. ObjectiveWe assessed the direct impact of TMAO on AD progression. MethodsTo do so, transgenic 5XFAD mice were supplemented with TMAO for 12 weeks. ResultsOral TMAO administration resulted in significantly reduced neurite density in several regions of the brain, as assessed through quantitative brain microstructure imaging with neurite orientation dispersion and density imaging (NODDI) magnetic resonance imaging (MRI). Amyloid-{beta} plaque mean intensity was reduced, while plaque count and size remained unaltered. Proteomics analysis of the cortex revealed that TMAO treatment impacted the expression of 31 proteins (1.5-fold cut-off) in 5XFAD mice, including proteins known to influence neuronal health and amyloid-{beta} precursor protein processing. TMAO treatment did not alter astrocyte and microglial response (as determined by histological analysis) nor cortical synaptic protein expression. ConclusionThese data suggest that elevated plasma TMAO impacts AD pathology via reductions in neurite density.

neuroscience↗

bioRxiv2022

Open Access Repository-Scale Propagated Nearest Neighbor Suspect Spectral Library for Untargeted Metabolomics

Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over the past decade, the majority of acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect spectral library, consisting of 87,916 annotated MS/MS spectra derived from hundreds of millions of public MS/MS spectra. Annotations were propagated based on structural relationships to reference molecules using MS/MS-based spectrum alignment. We demonstrate the broad relevance of the nearest neighbor suspect spectral library through representative examples of propagation-based annotation of acylcarnitines, bacterial and plant natural products, and drug metabolism. Our results also highlight how the library can help to better understand an Alzheimers brain phenotype. The nearest neighbor suspect spectral library is openly available through the GNPS platform to help investigators hypothesize candidate structures for unknown MS/MS spectra in untargeted metabolomics data.

bioinformatics↗

bioRxiv2022

An untargeted metabolomics analysis of exogenous chemicals in human milk and transfer to the infant

Human milk is the optimal infant nutrition. However, while human-derived metabolites such as lipids and oligosaccharides in human milk are regularly reported, the presence of exogenous chemicals (such as drugs, food, and synthetic compounds) are often not addressed. To understand the types of exogenous compounds that might be present, human milk (n=996) was analyzed by untargeted metabolomics. This analysis revealed that lifestyle molecules such as medications and their metabolites, food, industrial sources such as plasticizers, cosmetics, microbial molecules, and other personal care products are found in human milk. We provide further evidence that some of these lifestyle molecules are also detectable in the newborns stool. Thus, this study gives important insight into the types of exposures infants receiving human milk might ingest due to the lifestyle choices, exposure, or medical status of the lactating parent.

pharmacology and toxicology↗

bioRxiv2018

Acidity promotes tumor progression by altering macrophage phenotype in prostate cancer

Tumors rapidly ferment glucose to lactic acid even in the presence of oxygen, and coupling high glycolysis with poor perfusion leads to extracellular acidification. Here we demonstrate that acidity, independent from lactate, augments the pro-tumor phenotype of macrophages. We used zwitterionic buffers to show that activating macrophages at pH 6.8 in vitro enhanced an IL-4-driven phenotype as measured by gene expression, cytokine profiling, and functional assays. These results were recapitulated in vivo wherein neutralizing intratumoral acidity reduced the pro-tumor phenotype of macrophages, while also decreasing tumor incidence and invasion in the TRAMP model of prostate cancer. These results were recapitulated using an in silico mathematical model that simulate macrophage responses to environmental signals. By turning off acid-induced cellular responses, our in silico mathematical modeling shows that acid-resistant macrophages can limit tumor progression. In summary, this study suggests that tumor acidity contributes to prostate carcinogenesis by altering the state of macrophage activation.

immunology↗