Biology subjects

Reed, M. A.

Publications and source records attributed to Reed, M. A..

5 recordsLinked to original sources

bioRxiv2023

IDO-1 inhibition improves outcome after fluid percussion injury in adult male rats

The enzyme indoleamine 2,3 dioxygenase 1 (IDO1) catalyzes the rate-limiting step in the kynurenine pathway (KP) which produces both neuroprotective and neurotoxic metabolites. Neuroinflammatory signals produced as a result of pathological conditions can increase production of IDO1 and boost its enzymatic capacity. IDO1 and the KP have been implicated in behavioral recovery after human traumatic brain injury (TBI), but their roles in experimental models of TBI are for the most part unknown. We hypothesized there is an increase in KP activity in the fluid percussion injury (FPI) model of TBI, and that administration of an IDO1 inhibitor will improve neurological recovery. In this study adult male Sprague-Dawley rats were subjected to FPI or sham injury and received twice-daily oral administration of the IDO1 inhibitor PF-06840003 (100 mg/kg) or vehicle control. FPI resulted in a significant increase in KP activity, as demonstrated by an increased ratio of kynurenine:tryptophan, in the perilesional neocortex and ipsilateral hippocampus three days post-injury (DPI), which normalized by seven DPI. The increase in KP activity was prevented by PF-06840003. IDO1 inhibition also improved memory performance as assessed in the Barnes maze and anxiety behaviors as assessed in open field testing in the first 28 DPI. These results suggest increased KP activity after FPI may mediate neurological dysfunction, and IDO1 inhibition should be further investigated as a potential therapeutic target to improve recovery. Significance StatementThe kynurenine pathway and its rate-limiting enzyme indoleamine 2,3 dioxygenase 1 (IDO1) have been implicated in a variety of neurological disorders, including traumatic brain injury. We have demonstrated increased IDO1 activity in male rats after fluid percussion injury, a widely used model of traumatic brain injury. Pharmacological IDO1 inhibition after fluid percussion injury improved performance on tests of memory and anxiety-like behaviors, demonstrating a role for IDO1 in traumatic brain injury outcomes and supporting further investigation into its potential as a therapeutic target.

neuroscience↗

bioRxiv2021

Crosstalk between AML and stromal cells triggers acetate secretion through the metabolic rewiring of stromal cells

Acute myeloid leukaemia (AML) cells interact and modulate components of their surrounding microenvironment into their own benefit. Stromal cells have been shown to support AML survival and progression through various mechanisms. Nonetheless, it is unclear whether AML cells could establish beneficial metabolic interactions with stromal cells. Here, we identify a novel metabolic crosstalk between AML and stromal cells where AML cells prompt stromal cells to secrete acetate for their own consumption to feed the tricarboxylic acid cycle (TCA). By performing transcriptome analysis, tracer-based metabolic NMR analysis and ROS measurements, we observe that stromal cells present a higher rate of glycolysis. We also find that acetate in stromal cells is derived from pyruvate via chemical conversion under the influence of reactive oxygen species (ROS) following ROS transfer from AML to stromal cells via gap junctions. Overall, we present a unique metabolic communication between AML and stromal cells that could potentially be exploited for adjuvant therapy.

cell biology↗

bioRxiv2020

Poor Quality Vβ Recombination Signal Sequences Enforce TCRβ Allelic Exclusion by Limiting the Frequency of Vβ Recombination

Monoallelic expression (allelic exclusion) of T and B lymphocyte antigen receptor genes is achieved by the assembly of a functional gene through V(D)J recombination on one allele and subsequent feedback inhibition of recombination on the other allele. There has been no validated mechanism for how only one allele of any antigen receptor locus assembles a functional gene prior to feedback inhibition. Here, we demonstrate that replacement of a single V{beta} recombination signal sequence (RSS) with a better RSS increases V{beta} rearrangement, reveals Tcrb alleles compete for utilization in the {beta} T cell receptor (TCR) repertoire, and elevates the fraction of {beta} T cells expressing TCR{beta} protein from both alleles. The data indicate that poor qualities of V{beta} RSSs for recombination with D{beta} and J{beta} RSSs enforces allelic exclusion by stochastically limiting the incidence of functional V{beta} rearrangements on both alleles before feedback inhibition terminates V{beta} recombination.

immunology↗

bioRxiv2019

NMR Methods for Quantitative Isotopomer Rates in Real-Time Metabolism of Cells

Tracer-based metabolism is becoming increasingly important to study metabolic mechanisms in cells. NMR offers several approaches to measure label incorporation in metabolites, including 13C and 1H-detected spectra. The latter are generally more sensitive but quantification depends on the proton carbon 1JCH coupling constant which varies significantly between different metabolites. It is therefore not possible to have one experiment optimised for all metabolites and quantification of 1H-edited spectra such as HSQCs requires precise knowledge of coupling constants. Increasing interest in tracer-based and metabolic flux analysis requires robust analyses with reasonably small acquisition times. Here we compare 13C-filtered and 13C-edited methods for quantification with a special focus towards application in real-time NMR of cancer cells under near-physiological conditions. We find an approach using a double-filter most suitable and sufficiently robust to reliably obtain 13C-incorporations from difference spectra. This is demonstrated for JJN3 multiple myeloma cells processing glucose over 24h.

biochemistry↗

bioRxiv2018

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

BackgroundMetabolomics is the comprehensive study of a multitude of small molecules to gain insight into an organisms metabolism. The research field is dynamic and expanding with applications across biomedical, biotechnological and many other applied biological domains. Its computationally-intensive nature has driven requirements for open data formats, data repositories and data analysis tools. However, the rapid progress has resulted in a mosaic of independent - and sometimes incompatible - analysis methods that are difficult to connect into a useful and complete data analysis solution.\n\nFindingsThe PhenoMeNal (Phenome and Metabolome aNalysis) e-infrastructure provides a complete, workflow-oriented, interoperable metabolomics data analysis solution for a modern infrastructure-as-a-service (IaaS) cloud platform. PhenoMeNal seamlessly integrates a wide array of existing open source tools which are tested and packaged as Docker containers through the projects continuous integration process and deployed based on a kubernetes orchestration framework. It also provides a number of standardized, automated and published analysis workflows in the user interfaces Galaxy, Jupyter, Luigi and Pachyderm.\n\nConclusionsPhenoMeNal constitutes a keystone solution in cloud infrastructures available for metabolomics. It provides scientists with a ready-to-use, workflow-driven, reproducible and shareable data analysis platform harmonizing the software installation and configuration through user-friendly web interfaces. The deployed cloud environments can be dynamically scaled to enable large-scale analyses which are interfaced through standard data formats, versioned, and have been tested for reproducibility and interoperability. The flexible implementation of PhenoMeNal allows easy adaptation of the infrastructure to other application areas and omics research domains.

bioinformatics↗