Stéphane J. Mouly

Prof. Dr. Stéphane J. Mouly

Université Paris Cité, Paris, Île-de-France, France
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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2017 in Pharmacological Research
Verified
Journal Article
Closed access
Stéphane J. MoulyStéphane J. Mouly
Stéphane J. Mouly
CLCélia Lloret-Linares
Célia Lloret-Linares
PSPierre-Olivier Sellier
Pierre-Olivier Sellier
DSDamien Sene
Damien Sene
JBJ.-F. Bergmann
J.-F. Bergmann

15 November 2023 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
VBVenceslas Bourdin
Venceslas Bourdin
WBWilliam Bigot
William Bigot
AVAnthony Vanjak
Anthony Vanjak
RBRuxandra Burlacu
Ruxandra Burlacu
ALAmanda Lopes
Amanda Lopes
Stéphane J. MoulyStéphane J. Mouly
Stéphane J. Mouly
Concomitant administration of multiple drugs frequently causes severe pharmacokinetic or pharmacodynamic drug–drug interactions (DDIs) resulting in the possibility of enhanced toxicity and/or treatment failure. The activity of cytochrome P450 (CYP) 3A4 and P-glycoprotein (P-gp), a drug efflux pump sharing localization and substrate affinities with CYP3A4, is a critical determinant of drug clearance, interindividual variability in drug disposition and clinical efficacy, and appears to be involved in the mechanism of numerous clinically relevant DDIs, including those involving dexamethasone. The recent increase in the use of high doses of dexamethasone during the COVID-19 pandemic have emphasized the need for better knowledge of the clinical significance of drug–drug interactions involving dexamethasone in the clinical setting. We therefore aimed to review the already published evidence for various DDIs involving dexamethasone in vitro in cell culture systems and in vivo in animal models and humans.

1 April 2017 in Pharmacological Research
Verified
Journal Article
Closed access
CLCelia Lloret-Linares
Celia Lloret-Linares
HLHuilong Luo
Huilong Luo
ARAlexandra Rouquette
Alexandra Rouquette
Laurence LabatLaurence Labat
Laurence Labat
CPChristine Poitou
Christine Poitou
XDXavier DECLEVES
Xavier DECLEVES

26 April 2021 in Viruses
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Journal Article
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BTBenjamin Thoreau
Benjamin Thoreau
JGJoris Galland
Joris Galland
MDMaxime DELRUE
Maxime DELRUE
MNMarie Neuwirth
Marie Neuwirth
ASAlain Stépanian
Alain Stépanian
DSDamien Sene
Damien Sene
The incidence of pulmonary embolism (PE) is high during severe Coronavirus Disease 2019 (COVID-19). We aimed to identify predictive and prognostic factors of PE in non-ICU hospitalized COVID-19 patients. In the retrospective multicenter observational CLOTVID cohort, we enrolled patients with confirmed RT-PCR COVID-19 who were hospitalized in a medicine ward and also underwent a CT pulmonary angiography for a PE suspicion. Baseline data, laboratory biomarkers, treatments, and outcomes were collected. Predictive and prognostics factors of PE were identified by using logistic multivariate and by Cox regression models, respectively. A total of 174 patients were enrolled, among whom 86 (median [IQR] age of 66 years [55–77]) had post-admission PE suspicion, with 30/86 (34.9%) PE being confirmed. PE occurrence was independently associated with the lack of long-term anticoagulation or thromboprophylaxis (OR [95%CI], 72.3 [3.6–4384.8]) D-dimers ≥ 2000 ng/mL (26.3 [4.1–537.8]) and neutrophils ≥ 7.0 G/L (5.8 [1.4–29.5]). The presence of these two biomarkers was associated with a higher risk of PE (p = 0.0002) and death or ICU transfer (HR [95%CI], 12.9 [2.5–67.8], p < 0.01). In hospitalized non-ICU severe COVID-19 patients with clinical PE suspicion, the lack of anticoagulation, D-dimers ≥ 2000 ng/mL, neutrophils ≥ 7.0 G/L, and these two biomarkers combined might be useful predictive markers of PE and prognosis, respectively.

19 January 2019 in Therapies
Verified
Journal Article
Closed access
Stéphane J. MoulyStéphane J. Mouly
Stéphane J. Mouly
MRMatthieu Roustit
Matthieu Roustit
HBHaleh Bagheri
Haleh Bagheri
MPMarie-Christine Perault-Pochat
Marie-Christine Perault-Pochat
MMMathieu Molimard
Mathieu Molimard
RBRégis Bordet
Régis Bordet

Verified
Journal Article
Open access
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PTPierpaolo Trimboli
Pierpaolo Trimboli
Stéphane J. MoulyStéphane J. Mouly
Stéphane J. Mouly
Background: Increased knowledge of the pharmacokinetic characteristics of orally administered levothyroxine (L-T4) has improved individualization of dosing regimens. However, up to 40–45% of patients, depending on the leading cause of hypothyroidism, are still over- or, more often, undertreated. Unintentional non-adherence to L-T4 replacement therapy includes all situations of unintended drug–drug and drug–food interactions as well as fasting conditions that are not necessarily respected by patients. Results: In this specific context, the overall information concerning those factors with the potential to affect L-T4 absorption refers only to tablet formulation. Indeed, this is the reason why new non-tablet formulations of L-T4 were introduced some years ago. In this regard, the current literature review was designed to summarize pharmacokinetic, drug and food interactions and clinical data focusing on two new oral L-T4 formulations, i.e., liquid and soft-gel capsule in healthy volunteers and patients with primary hypothyroidism. The non-tablet L-T4 soft-gel capsules and solution have proven bioequivalence with the usual L-T4 tablet Princeps and generic formulations. Clinical studies have suggested higher performance of non-tablet formulations than tablet in those patients with suboptimal adherence. The impact of gastrointestinal conditions and variation of gastric pH was lower with either soft gel/solution than with tablets. In addition, the extent of drug–drug and drug–food interactions remains low and of uncertain clinical relevance. Conclusions: Pending further studies allowing one to extend the use of soft-gel/solution preparations in unselected patients, non-tablet L-T4 formulations should be considered as a first-line choice, especially in those patients with moderate-to-high potential of suboptimal tablet performance.