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Poirier, B.

Publications and source records attributed to Poirier, B..

3 recordsLinked to original sources

A novel phenylpropanoid methyl esterase enables catabolism of aromatic compounds that inhibit biological nitrification

Agriculture is the largest source of greenhouse gases (GHG) production. Conversion of nitrogen fertilizers into more reduced forms by microbes through a process known as biological nitrification drives GHG production, enhances proliferation of toxic algal blooms, and increases cost of crop production. Some plants reduce biological nitrification in soils by exuding a diverse array of biological nitrification inhibitors (BNIs) that inhibit the ammonium oxidizing microbes responsible for nitrification. Applying synthetic biology to enhance and transfer BNI production into food and bioenergy crops is a promising approach to reduce nitrification but the success of this strategy is contingent upon improving our limited understanding of BNIs mechanisms-of-action and degradation in the soil. We addressed this gap by investigating the previously unknown metabolic route through which a prominent class of aromatic BNIs known as phenylpropanoid methyl esters (PPMEs) are catabolized. While neither transcriptomics (RNAseq) or high-throughput functional genomics (RB-TnSeq) methods reduced the genetic search space for pathway discovery into a tenable number of genes, the combination of narrowed the search space to a collection of 4 proteins of unknown function. Using genetic and biochemical analyses we found that two previously uncharacterized enzymes, including a novel phenylpropanoid methyl esterase, funnel PPMEs into an established phenylpropanoid catabolism pathway. Transfer of these two enzymes into bacteria capable of using other phenylpropanoids use of PPMEs as carbon sources. This work both provided insight into BNI catabolism and is the first step towards development of model in vivo plant-microbe systems for studying BNI mechanisms under well controlled conditions.

microbiology↗

A G-protein-biased S1P1 agonist, SAR247799, improved LVH and diastolic function in a rat model of metabolic syndrome

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSAimC_ST_ABSHeart failure with preserved ejection fraction (HFpEF) is a major cause of death worldwide with no approved treatment. Left ventricular hypertrophy (LVH) and diastolic dysfunction represent the structural and functional components of HFpEF, respectively. Endothelial dysfunction is prevalent in HFpEF and predicts cardiovascular events. We investigated if SAR247799, a G-protein-biased sphingosine-1-phosphate receptor 1 (S1P1) agonist with endothelial-protective properties, could improve cardiac and renal functions in a rat model of metabolic syndrome LVH and diastolic function. Methods31- and 65-week-old obese ZSF1 (Ob-ZSF1) rats, representing young and old animals with LVH and diastolic dysfunction, were randomized to a chow diet containing 0.025% (w/w) of SAR247799, or control (CTRL) chow for 4 weeks. Age-matched lean ZSF1 (Le-ZSF1) rats were fed control chow. Echocardiography, telemetry, biochemical and histological analysis were performed to evaluate the effect of SAR247799. ResultsEchocardiography revealed that Ob-ZSF1 rats, in contrast to Le-ZSF1 rats, developed progressive diastolic dysfunction and cardiac hypertrophy with age. SAR247799 blunted the progression of diastolic dysfunction in young and old animals: in young animals E/e was evaluated at 21.8 {+/-} 1.4 for Ob-ZSF1-CTRL, 19.5 {+/-} 1.2 for Ob-ZSF1-SAR247799 p<0.01, and 19.5 {+/-} 2.3 for Le-ZSF1-CTRL (median {+/-} IQR). In old animals E/e was evaluated at 23.15 {+/-} 4.45 for Ob-ZSF1-CTRL, 19.5 {+/-} 5 for Ob-ZSF1-SAR247799 p<0.01, and 16.69 {+/-} 1.7 for Le-ZSF1-CTRL, p<0.01 (median {+/-} IQR). In old animals, SAR247799 reduced cardiac hypertrophy (mean {+/-} SEM of heart weight/tibia length 0.053 {+/-} 0.001 for Ob-ZSF1-CTRL vs 0.046 {+/-} 0.002 for Ob-ZSF1-SAR247799 p<0.01, Le-ZSF1-CTRL 0.035 {+/-} 0.001) and myocardial perivascular collagen content (p<0.001), independently of any changes in microvascular density. In young animals, SAR247799 improved endothelial function as assessed by the very low frequency bands of systolic blood pressure variability (mean {+/-} SEM 67.8 {+/-} 3.41 for Ob-ZSF1-CTRL 55.8 {+/-} 4.27 or Ob-ZSF1-SAR247799, p<0.05 and 57.3 {+/-} 1.82 Le-ZSF1-CTRL), independently of any modification of arterial blood pressure. In old animals, SAR247799 reduced urinary protein/creatinine ratio, an index of glomerular injury, (10.3 {+/-} 0.621 vs 8.17 {+/-} 0.231 for Ob-ZSF1-CTRL vs Ob-ZSF1-SAR247799, respectively, p<0.05 and 0.294 {+/-} 0.029 for Le-ZSF1-CTRL, mean {+/-} SEM) and the fractional excretion of electrolytes. Circulating lymphocytes were not decreased by SAR247799, confirming lack of S1P1 desensitization. ConclusionsThese experimental findings suggest that S1P1 activation with SAR247799 could improve LVH, cardiac diastolic and renal function in HFpEF patients.

pharmacology and toxicology↗

Organ-specificity of sterol and triterpene accumulation in Arabidopsis thaliana

Sterols serve essential functions as membrane constituents and hormones (brassinosteroids) in plants, while non-sterol triterpenoids have been implicated in defense responses. Surprisingly little is known about the sterol and triterpene profiles in different plant organs. To enhance our understanding of organ-specific sterol and triterpene accumulation, we quantified these metabolite classes in four different organs (root, stem, leaf, seed) of Arabidopsis thaliana (L.). Based on these data sets we developed kinetic mathematical models of sterol biosynthesis to capture flux distribution and pathway regulation in different organs. Simulations indicated that an increased flux through the sterol pathway would not only result in an increase of sterol end products but also a concomitant build-up of certain intermediates. These computational predictions turner out to be consistent with experimental data obtained with transgenic plants ectopically overexpressing 3-hydroxy-3-methylglutary-coenzyme A reductase (HMG1 gene). The opportunities and limitations of incorporating mathematical modeling into the design of approaches to engineer sterol biosynthesis are discussed.

plant biology↗