10 research outputs found

    Human Herpesvirus 8 (HHV8) Sequentially Shapes the NK Cell Repertoire during the Course of Asymptomatic Infection and Kaposi Sarcoma

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    The contribution of innate immunity to immunosurveillance of the oncogenic Human Herpes Virus 8 (HHV8) has not been studied in depth. We investigated NK cell phenotype and function in 70 HHV8-infected subjects, either asymptomatic carriers or having developed Kaposi's sarcoma (KS). Our results revealed substantial alterations of the NK cell receptor repertoire in healthy HHV8 carriers, with reduced expression of NKp30, NKp46 and CD161 receptors. In addition, down-modulation of the activating NKG2D receptor, associated with impaired NK-cell lytic capacity, was observed in patients with active KS. Resolution of KS after treatment was accompanied with restoration of NKG2D levels and NK cell activity. HHV8-latently infected endothelial cells overexpressed ligands of several NK cell receptors, including NKG2D ligands. The strong expression of NKG2D ligands by tumor cells was confirmed in situ by immunohistochemical staining of KS biopsies. However, no tumor-infiltrating NK cells were detected, suggesting a defect in NK cell homing or survival in the KS microenvironment. Among the known KS-derived immunoregulatory factors, we identified prostaglandin E2 (PGE2) as a critical element responsible for the down-modulation of NKG2D expression on resting NK cells. Moreover, PGE2 prevented up-regulation of the NKG2D and NKp30 receptors on IL-15-activated NK cells, and inhibited the IL-15-induced proliferation and survival of NK cells. Altogether, our observations are consistent with distinct immunoevasion mechanisms that allow HHV8 to escape NK cell responses stepwise, first at early stages of infection to facilitate the maintenance of viral latency, and later to promote tumor cell growth through suppression of NKG2D-mediated functions. Importantly, our results provide additional support to the use of PGE2 inhibitors as an attractive approach to treat aggressive KS, as they could restore activation and survival of tumoricidal NK cells

    Inhibition screening method of microsomal UGTs using the cocktail approach

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    A rapid method for the simultaneous determination of the in vitro activity of the 10 major human liver UDP-glucuronosyltransferase (UGT) enzymes was developed based on the cocktail approach. Specific substrates were first selected for each UGT: etoposide for UGT1A1, chenodeoxycholic acid for UGT1A3, trifluoperazine for UGT1A4, serotonin for UGT 1A6, isoferulic acid for UGT1A9, codeine for UGT2B4, azidothymidine for UGT2B7, levomedetomidine for UGT2B10, 4-hydroxy-3-methoxymethamphetamine for UGT2B15 and testosterone for UGT2B17. Optimal incubation conditions, including time-based experiments on cocktail metabolism in pooled HLMs that had been performed, were then investigated. A 45- min incubation period was found to be a favorable compromise for all the substrates in the cocktail. Ultra-high pressure liquid chromatography coupled to an electrospray ionization time-of-flight mass spectrometer was used to separate the 10 substrates and their UGT-specific glucuronides in less than 6 min. The ability of the cocktail to highlight the UGT inhibitory potential of xenobiotics was initially proven by using well-known UGT inhibitors (selective and nonselective) and then by relating some of the screening results obtained by using the cocktail approach with morphine glucuronidation (substrate highly glucuronidated by UGT 2B7). All the results were in agreement with both the literature and with the expected effect on morphine glucuronidation

    Characterization of oxycodone in vitro metabolism by human cytochromes P450 and UDP-glucuronosyltransferases

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    The hepatic metabolism of oxycodone by cytochromes P450 (CYP) and the UDP-glucuronosyltransferases (UGT), the main metabolic enzymes of phase I and phase II, respectively, was assessed in vitro. The N-demethylation by CYP3A4/5 and the O-demethylation by CYP2D6 in human liver microsomes (HLM) followed Michaelis-Menten kinetics, with intrinsic clearances of 1.46ΌL/min/mg and 0.35ΌL/min/mg, respectively. Although noroxycodone and oxymorphone mainly contribute to the elimination of oxycodone, the simulated total in vivo clearance using in vitro phase I metabolism was underestimated. For the first time, metabolism of oxycodone by UGT was deeply investigated using HLM, recombinant enzymes and selective inhibitors. Oxycodone-glucuronide was mainly produced by UGT2B7 (Km=762±153ΌM, Vmax=344±20 peak area/min/mg) and to a lesser extent by UGT2B4 (Km=2454±497ΌM, Vmax=201±19 peak area/min/mg). Finally, the kinetics of the drug-drug interactions were assessed using two CYP and UGT cocktail approaches. Incubations of HLM with phase I and phase II drug probes showed that oxycodone mainly decreased the in vitro activities of CYP2D6, CYP3A4/5, UGT1A3, UGT1A6 and UGT2B subfamily with an important impact on UGT2B7

    Inhalation technique practical skills and knowledge among physicians and nurses in two pediatric emergency settings

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    Introduction: Correct technique with a pressurized metered-dose inhaler (pMDI) equipped with a valved holding chamber (VHC) or spacer provides an important advantage for adequate control of asthma and virus-induced wheezing in young children. The aim of this study was to assess the ability and knowledge of physicians and nurses to use a pMDI with a masked VHC in two pediatric emergency units. Methods: Study design: Two-center observational study. Inhaler use technique was assessed in 50 physicians and 50 nurses using a child mannequin and a validated videotaped nine-step scoring method. The participants' knowledge was evaluated by a questionnaire. Results: The inhalation technique was perfectly mastered by 49% of the study participants and almost perfectly mastered by another 34% (mean score 8.3 ± 0.7; range 5-9). Nurses were more likely than doctors to demonstrate the technique perfectly (66% vs. 32%, p < 0.05). The two most common errors were forgetting to shake the pMDI between two consecutive puffs (38% of the participants) and putting the patient in an incorrect position (11%). About half of the participants reported that they checked each patient's inhalation technique at every opportunity and knew how to clean the VHC. A large majority did not employ a reliable method to determine the amount of medication remaining in pMDIs without a counter. Conclusion: Healthcare professionals' practical skills and knowledge on inhalation therapy were not completely mastered and could be improved with a mandatory training program

    Development and clinical validation of real‐time artificial intelligence diagnostic companion for fetal ultrasound examination

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    International audienceABSTRACT Objective Prenatal diagnosis of a rare disease on ultrasound relies on a physician's ability to remember an intractable amount of knowledge. We developed a real‐time decision support system (DSS) that suggests, at each step of the examination, the next phenotypic feature to assess, optimizing the diagnostic pathway to the smallest number of possible diagnoses. The objective of this study was to evaluate the performance of this real‐time DSS using clinical data. Methods This validation study was conducted on a database of 549 perinatal phenotypes collected from two referral centers (one in France and one in the UK). Inclusion criteria were: at least one anomaly was visible on fetal ultrasound after 11 weeks' gestation; the anomaly was confirmed postnatally; an associated rare disease was confirmed or ruled out based on postnatal/postmortem investigation, including physical examination, genetic testing and imaging; and, when confirmed, the syndrome was known by the DSS software. The cases were assessed retrospectively by the software, using either the full phenotype as a single input, or a stepwise input of phenotypic features, as prompted by the software, mimicking its use in a real‐life clinical setting. Adjudication of discordant cases, in which there was disagreement between the DSS output and the postnatally confirmed (‘ascertained’) diagnosis, was performed by a panel of external experts. The proportion of ascertained diagnoses within the software's top‐10 differential diagnoses output was evaluated, as well as the sensitivity and specificity of the software to select correctly as its best guess a syndromic or isolated condition. Results The dataset covered 110/408 (27%) diagnoses within the software's database, yielding a cumulative prevalence of 83%. For syndromic cases, the ascertained diagnosis was within the top‐10 list in 93% and 83% of cases using the full‐phenotype and stepwise input, respectively, after adjudication. The full‐phenotype and stepwise approaches were associated, respectively, with a specificity of 94% and 96% and a sensitivity of 99% and 84%. The stepwise approach required an average of 13 queries to reach the final set of diagnoses. Conclusions The DSS showed high performance when applied to real‐world data. This validation study suggests that such software can improve perinatal care, efficiently providing complex and otherwise overlooked knowledge to care‐providers involved in ultrasound‐based prenatal diagnosis. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology
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