Synthesis, radiosynthesis and in vivo preliminary evaluation of [11C]LBT-999, a selective radioligand for the visualisation of the dopamine transporter with PET

LBT-999 (8-((E)-4-fluoro-but-2-enyl)-3beta-p-tolyl-8-aza-bicyclo[3.2.1]octane-2beta-carboxylic acid methyl ester), a cocaine derivative belonging to a new generation of highly selective dopamine transporter (DAT) ligands, and its corresponding carboxylic acid derivative, the latter used as precursor for labelling both with tritium and the positron-emitter carbon-11 (half-life: 20.38 min), were synthesized from (R)-cocaine. [(3)H]LBT-999 (>99% radiochemically pure, specific radioactivity of 3.1 TBq/mmol) was prepared from [(3)H]methyl iodide, allowing its in vitro pharmacological evaluation (K(D): 9 nM for DAT and IC(50) > 1000 nM for SERT and NET). Routine production batches of 4.5-9.0 GBq of iv injectable solutions of [(11)C]LBT-999 (with specific radioactivities ranging from 30 to 45 GBq/mumol) were prepared in 25-30 min (HPLC purification and formulation included) using the efficient methylation reagent [(11)C]methyl triflate. The preliminary in vivo pharmacological evaluation of [(11)C]LBT-999, using both biodistributions in rats and brain imaging in monkeys with positron emission tomography (PET), clearly illustrates that this ligand is an excellent candidate for quantification with PET of DAT in humans.     

Correlation Between Pneumocystis jirovecii Mitochondrial Genotypes and High and Low Fungal Loads Assessed by Single Nucleotide Primer Extension Assay and Quantitative Real‐Time PCR

We designed a single nucleotide primer extension (SNaPshot) assay for Pneumocystis jirovecii genotyping, targeting mt85 SNP of the mitochondrial large subunit ribosomal RNA locus, to improve minority allele detection. We then analyzed 133 consecutive bronchoalveolar lavage (BAL) fluids tested positive for P. jirovecii DNA by quantitative real‐time PCR, obtained from two hospitals in different locations (Hospital 1 [n = 95] and Hospital 2 [n = 38]). We detected three different alleles, either singly (mt85C: 39.1%; mt85T: 24.1%; mt85A: 9.8%) or together (27%), and an association between P. jirovecii mt85 genotype and the patient's place of hospitalization (p = 0.011). The lowest fungal loads (median = 0.82 × 10³ copies/μl; range: 15–11 × 10³) were associated with mt85A and the highest (median = 1.4 × 10⁶ copies/μl; range: 17 × 10³–1.3 × 10⁷) with mt85CTA (p = 0.010). The ratios of the various alleles differed between the 36 mixed‐genotype samples. In tests of serial BALs (median: 20 d; range 4–525) from six patients with mixed genotypes, allele ratio changes were observed five times and genotype replacement once. Therefore, allele ratio changes seem more frequent than genotype replacement when using a SNaPshot assay more sensitive for detecting minority alleles than Sanger sequencing. Moreover, because microscopy detects only high fungal loads, the selection of microscopy‐positive samples may miss genotypes associated with low loads.     

Data strategy for environmental assessment of agricultural regions via LCA: case study of a French catchment

Purpose

Various approaches have been carried out to extrapolate environmental assessments of farms to the regional level, some of them oversimplified and thus leading to high uncertainty. Key challenges include selection of a representative sample, construction of a farm/land use typology, the extrapolation strategy and dealing with data limitations. This work proposes a method for addressing these issues by means of statistically supported approaches.

Methods

We applied a novel approach combining a sampling strategy, estimation of farm-level environmental impacts via life cycle assessment (LCA), a farm typology based on principal component analysis, a statistical method for extending the farm sample given data constraints and finally linear extrapolation based on regional production and land use, taking into account the regional import–export balance. The approach was applied to a French case study, the Lieue de Grève catchment in the dairy-intensive Brittany region. A decision flowchart was developed to generalise the approach for similar applications dealing with farm and LCA data constraints. Additionally, innovative farm practices were modelled and their impacts propagated to the regional level.

Results and discussion

The typology developed identified “dairy”, “beef”, “dairy + beef” and “swine” farms as the dominant farm types in the region. While swine farms had the highest mean impacts per hectare, dairy and dairy + beef farms had impacts two to five times as high as those of beef and swine farms, when extrapolated to the entire catchment. Multiple linear regressions based on an extended farm and LCA dataset were used to predict environmental impacts of dairy farms lacking LCA results, thus increasing their sample size before extrapolation. The inclusion of farm and LCA data from a neighbouring region did not contribute to the accuracy of predicted impacts, as determined by comparing them to those of the farm closest to the dairy cluster’s centre, but rather produced significantly larger coefficients of variation. Results of tests of including two extra-regional farm and LCA datasets helped determine decision rules for the decision flowchart. Modelling of innovative agricultural practices yielded regional impacts consistent with previous estimates.

Conclusions

This approach provides a generalisable approach for farm typologies, data handling and regional extrapolation of farm-level LCAs, applicable to estimate environmental impacts of any agricultural area if requirements of a representative farm sample are met. We demonstrate the utility of the method for estimating effects of innovative agricultural practices on a region’s impacts by modelling practices on virtual farms and extrapolating their results.

     

Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood

Objectives

To relate socio-demographic and virological information to phylogenetic clustering in HIV infected patients in a limited geographical area and to evaluate the role of recently infected individuals in the spread of HIV.

Methods

HIV-1 pol sequences from newly diagnosed and treatment-naive patients receiving follow-up between 2008 and 2011 by physicians belonging to a health network in Paris were used to build a phylogenetic tree using neighbour-joining analysis. Time since infection was estimated by immunoassay to define recently infected patients (very early infected presenters, VEP). Data on socio-demographic, clinical and biological features in clustered and non-clustered patients were compared. Chains of infection structure was also analysed.

Results

547 patients were included, 49 chains of infection containing 108 (20%) patients were identified by phylogenetic analysis. analysis. Eighty individuals formed pairs and 28 individuals were belonging to larger clusters. The median time between two successive HIV diagnoses in the same chain of infection was 248 days [CI = 176–320]. 34.7% of individuals were considered as VEP, and 27% of them were included in chains of infection. Multivariable analysis showed that belonging to a cluster was more frequent in VEP and those under 30 years old (OR: 3.65, 95 CI 1.49–8.95, p = 0.005 and OR: 2.42, 95% CI 1.05–5.85, p = 0.04 respectively). The prevalence of drug resistance was not associated with belonging to a pair or a cluster. Within chains, VEP were not grouped together more than chance predicted (p = 0.97).

Conclusions

Most newly diagnosed patients did not belong to a chain of infection, confirming the importance of undiagnosed or untreated HIV infected individuals in transmission. Furthermore, clusters involving both recently infected individuals and longstanding infected individuals support a substantial role in transmission of the latter before diagnosis.     

Revisiting Plant Plasma Membrane Lipids in Tobacco: A Focus on Sphingolipids

The lipid composition of plasma membrane (PM) and the corresponding detergent-insoluble membrane (DIM) fraction were analyzed with a specific focus on highly polar sphingolipids, so-called glycosyl inositol phosphorylceramides (GIPCs). Using tobacco (Nicotiana tabacum) ‘Bright Yellow 2’ cell suspension and leaves, evidence is provided that GIPCs represent up to 40 mol % of the PM lipids. Comparative analysis of DIMs with the PM showed an enrichment of 2-hydroxylated very-long-chain fatty acid-containing GIPCs and polyglycosylated GIPCs in the DIMs. Purified antibodies raised against these GIPCs were further used for immunogold-electron microscopy strategy, revealing the distribution of polyglycosylated GIPCs in domains of 35 ± 7 nm in the plane of the PM. Biophysical studies also showed strong interactions between GIPCs and sterols and suggested a role for very-long-chain fatty acids in the interdigitation between the two PM-composing monolayers. The ins and outs of lipid asymmetry, raft formation, and interdigitation in plant membrane biology are finally discussed.Eukaryotic plasma membranes (PMs) are composed of three main classes of lipids, glycerolipids, sphingolipids, and sterols, which may account for up to 100,000 different molecular species (Yetukuri et al., 2008; Shevchenko and Simons, 2010). Overall, all glycerolipids share the same molecular moieties in plants, animals, and fungi. By contrast, sterols and sphingolipids are different and specific to each kingdom. For instance, the plant PM contains an important number of sterols, among which β-sitosterol, stigmasterol, and campesterol predominate (Furt et al., 2011). In addition to free sterols, phytosterols can be conjugated to form steryl glycosides (SG) and acyl steryl glycosides (ASG) that represent up to approximately 15% of the tobacco (Nicotiana tabacum) PM (Furt et al., 2010). As for sphingolipids, sphingomyelin, the major phosphosphingolipid in animals, which harbors a phosphocholine as a polar head, is not detected in plants. Glycosyl inositol phosphorylceramides (GIPCs) are the major class of sphingolipids in plants, but they are absent in animals (Sperling and Heinz, 2003; Pata et al., 2010). Sphingolipidomic approaches identified up to 200 plant sphingolipids (for review, see Pata et al., 2010; Cacas et al., 2013).Although GIPCs belong to one of the earliest classes of plant sphingolipids that were identified in the late 1950s (Carter et al., 1958), only a few GIPCs have been structurally characterized to date because of their high polarity and a limited solubility in typical lipid extraction solvents. For these reasons, they were systematically omitted from published plant PM lipid composition. GIPCs are formed by the addition of an inositol phosphate to the ceramide moiety, the inositol headgroup of which can then undergo several glycosylation steps. The dominant glycan structure, composed of a hexose-GlcA linked to the inositol, is called series A. Polar heads containing three to seven sugars, so-called series B to F, have been identified and appeared to be species specific (Buré et al., 2011; Cacas et al., 2013; Mortimer et al., 2013). The ceramide moiety of GIPCs consists of a long-chain base (LCB), mainly t18:0 (called phytosphingosine) or t18:1 compounds (for review, see Pata et al., 2010), to which is amidified a very-long-chain fatty acid (VLCFA), the latter of which is mostly 2-hydroxylated (hVLCFA) with an odd or even number of carbon atoms. In plants, little is known about the subcellular localization of GIPCs. It is assumed, however, that they would be highly represented in the PM (Worrall et al., 2003; Sperling et al., 2005), even if this remains to be experimentally proven. The main argument supporting such an assumption is the strong enrichment of trihydroxylated LCB (t18:n) in detergent-insoluble membrane (DIM) fractions (Borner et al., 2005; Lefebvre et al., 2007), LCB being known to be predominant in GIPC’s core structure as aforementioned.In addition to this chemical complexity, lipids are not evenly distributed within the PM. Sphingolipids and sterols can preferentially interact with each other and segregate to form microdomains dubbed the membrane raft (Simons and Toomre, 2000). The membrane raft hypothesis suggests that lipids play a regulatory role in mediating protein clustering within the bilayer by undergoing phase separation into liquid-disordered and liquid-ordered phases. The liquid-ordered phase, termed the membrane raft, was described as enriched in sterol and saturated sphingolipids and is characterized by tight lipid packing. Proteins, which have differential affinities for each phase, may become enriched in, or excluded from, the liquid-ordered phase domains to optimize the rate of protein-protein interactions and maximize signaling processes. In animals, rafts have been implicated in a huge range of cellular processes, such as hormone signaling, membrane trafficking in polarized epithelial cells, T cell activation, cell migration, and the life cycle of influenza and human immunodeficiency viruses (Simons and Ikonen, 1997; Simons and Gerl, 2010). In plants, evidence is increasing that rafts are also involved in signal transduction processes and membrane trafficking (for review, see Mongrand et al., 2010; Simon-Plas et al., 2011; Cacas et al., 2012a).Moreover, lipids are not evenly distributed between the two leaflets of the PM. Within the PM of eukaryotic cells, sphingolipids are primarily located in the outer monolayer, whereas unsaturated phospholipids are predominantly exposed on the cytosolic leaflet. This asymmetrical distribution has been well established in human red blood cells, in which the outer leaflet contains sphingomyelin, phosphatidylcholine, and a variety of glycolipids like gangliosides. By contrast, the cytoplasmic leaflet is composed mostly of phosphatidylethanolamine, phosphatidylserine, phosphatidylinositol, and their phosphorylated derivatives (Devaux and Morris, 2004). With regard to sphingolipids and glycerolipids, the asymmetry of the former is established during their biosynthesis and that of the latter requires ATPases such as the aminophospholipid translocase that transports lipids from the outer to the inner leaflet as well as multiple drug resistance proteins that transport phosphatidylcholine in the opposite direction (Devaux and Morris, 2004). This ubiquitous scheme encountered in animal cells could apply in plant cells as proposed (Tjellstrom et al., 2010). Indeed, the authors showed that there is a pronounced transverse lipid asymmetry in root at the PM. Phospholipids and galactolipids dominate the cytosolic leaflet, whereas the apoplastic leaflet is enriched in sphingolipids and sterols.From such a high diversity of the plant PM thus arises the question of the respective contribution of lipids to membrane suborganization. Our group recently tackled this aspect by characterizing the order level of liposomes prepared from various plant lipids and labeled with the environment-sensitive probe di-4-ANEPPDHQ (Grosjean et al., 2015). Fluorescence spectroscopy experiments showed that, among phytosterols, campesterol exhibits the strongest ability to order model membranes. In agreement with these data, spatial analysis of the membrane organization through multispectral confocal microscopy pointed to the strong ability of campesterol to promote liquid-ordered domain formation and organize their spatial distribution at the membrane surface. Conjugated sterols also exhibit a striking ability to order membranes. In addition, GIPCs enhance the sterol-induced ordering effect by emphasizing the formation and increasing the size of sterol-dependent ordered domains.The aim of this study was to reinvestigate the lipid composition and organization of the PM with a particular focus on GIPCs using tobacco leaves and cv Bright Yellow 2 (BY-2) cell cultures as models. Analyzing all membrane lipid classes at once, including sphingolipids, is challenging because they all display dramatically different chemical polarity, from very apolar (like free sterols) to highly polar (like polyglycosylated GIPCs) molecules. Most lipid extraction techniques published thus far use a chloroform/methanol mixture and phase partition to remove contaminants, resulting in the loss GIPCs, which remain in the aqueous phase, unextracted in the insoluble pellet, or at the interphase (Markham et al., 2006). In order to gain access to both glycerolipid and sphingolipid species at a glance, we developed a protocol whereby the esterifed or amidified fatty acids were hydrolyzed from the glycerol backbone (glycerolipids) or the LCB (sphingolipids) of membrane lipids, respectively. Fatty acids were then analyzed by gas chromatography-mass spectrometry (GC-MS) with appropriate internal standards for quantification. We further proposed that the use of methyl tert-butyl ether (MTBE) ensures the extraction of all classes of plant polar lipids. Our results indicate that GIPCs represent up to 40 mol % of total tobacco PM lipids. Interestingly, polyglycolyslated GIPCs are 5-fold enriched in DIMs of BY-2 cells when compared with the PM. Further investigation led us to develop a preparative purification procedure that allowed us to obtain enough material to raise antibodies against GIPCs. Using immunogold labeling on PM vesicles, it was found that polyglycosylated GIPCs cluster in membrane nanodomains, strengthening the idea that lateral nanosegregation of sphingolipids takes place at the PM in plants. Multispectral confocal microscopy was performed on vesicles prepared using GIPCs, phospholipids, and sterols and labeled with the environment-sensitive probe di-4-ANEPPDHQ. Our results show that, despite different fatty acid and polar head compositions, GIPCs extracted from tobacco leaves and BY-2 cells have a similar intrinsic propensity of enhancing vesicle global order together with sterols. Assuming that GIPCs are mostly present in the outer leaflet of the PM, interactions between sterols and sphingolipids were finally studied by the Langmuir monolayer technique, and the area of a single molecule of GIPC, or in interaction with phytosterols, was calculated. Using the calculation docking method, the energy of interaction between GIPCs and phytosterols was determined. A model was proposed in which GIPCs and phytosterols interact together to form liquid-ordered domains and in which the VLCFAs of GIPCs promote the interdigitation of the two membrane leaflets. The implications of domain formation and the asymmetrical distribution of lipids at the PM in plants are also discussed. Finally, we propose a model that reconsiders the intricate organization of the plant PM bilayer.     

Restriction map of Tn7

Tn7, a transposon of 14 kb, encodes resistance to trimethoprim (Tp) and streptomycin (Sm). A cleavage site map of this transposon for twenty-two different restriction enzymes as determined by comparison of restriction enzyme cleavage patterns of the plasmids ColE1 and ColE1::Tn7 is presented. The precise localization of these sites was facilitated by the use of two deletion derivatives of ColE1::Tn7: pGB2 and ColE1::Tn7Δ6, and by the use of pOB14 and pOB15 which contain a part of Tn7 cloned into the plasmid pBR322. This map should aid in the study of the structural and genetic organization of this transposon.     

Interactions of ciprofloxacin with DPPC and DPPG: fluorescence anisotropy, ATR-FTIR and 31P NMR spectroscopies and conformational analysis

The interactions between a drug and lipids may be critical for the pharmacological activity. We previously showed that the ability of a fluoroquinolone antibiotic, ciprofloxacin, to induce disorder and modify the orientation of the acyl chains is related to its propensity to be expelled from a monolayer upon compression [1]. Here, we compared the binding of ciprofloxacin on DPPC and DPPG liposomes (or mixtures of phospholipids [DOPC:DPPC], and [DOPC:DPPG]) using quasi-elastic light scattering and steady-state fluorescence anisotropy. We also investigated ciprofloxacin effects on the transition temperature (T(m)) of lipids and on the mobility of phosphate head groups using Attenuated Total Reflection Fourier Transform Infrared-Red Spectroscopy (ATR-FTIR) and (31)P Nuclear Magnetic Resonance (NMR) respectively. In the presence of ciprofloxacin we observed a dose-dependent increase of the size of the DPPG liposomes whereas no effect was evidenced for DPPC liposomes. The binding constants K(app) were in the order of 10(5) M(-1) and the affinity appeared dependent on the negative charge of liposomes: DPPG>DOPC:DPPG (1:1; M:M)>DPPC>DOPC:DPPC (1:1; M:M). As compared to the control samples, the chemical shift anisotropy (Deltasigma) values determined by (31)P NMR showed an increase of 5 and 9 ppm for DPPC:CIP (1:1; M:M) and DPPG:CIP (1:1; M:M) respectively. ATR-FTIR experiments showed that ciprofloxacin had no effect on the T(m) of DPPC but increased the order of the acyl chains both below and above this temperature. In contrast, with DPPG, ciprofloxacin induced a marked broadening effect on the transition with a decrease of the acyl chain order below its T(m) and an increase above this temperature. Altogether with the results from the conformational analysis, these data demonstrated that the interactions of ciprofloxacin with lipids depend markedly on the nature of their phosphate head groups and that ciprofloxacin interacts preferentially with anionic lipid compounds, like phosphatidylglycerol, present at a high content in these membranes.     

Leukemia inhibitory factor contributes to hepatocyte-like differentiation of human bone marrow mesenchymal stem cells

The current majority of protocols for hepatocyte differentiation of mesenchymal stem cells (MSCs) are conducted using oncostatin M (OSM) as an inducer of hepatocyte-like maturation. As leukemia inhibitory factor (LIF) and OSM share similar signaling pathways, we examined whether LIF could play a role in the hepatocyte differentiation process. A differentiation protocol was designed using LIF as a maturation cytokine and this was compared with standard and control protocols applied to human MSCs of bone marrow origin. We observed that mesenchymal-derived hepatocyte-like cells (MDHLCs) acquired similar morphological changes when exposed to LIF or to OSM. Using protein and gene expression assays, we noticed a comparable hepatic marker expression in both differentiation conditions. Furthermore, LIF and OSM allowed the acquisition of equivalent levels of hepatocyte-like functionality as attested by evaluation of urea secretion and glycogen deposition. However, no increase in the expression of hepatocyte-like features could be observed in MDHLCs after a combined exposition to LIF and OSM. In conclusion, we demonstrated that LIF can play a similar role as OSM in the hepatocyte differentiation process of human MSCs.