11 results on '"Vandenesh, F."'
Search Results
2. 010 Innate and adaptive immunity to Staphylococcus aureus contribute to the development of atopic dermatitis-like skin inflammation
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Braun, C., primary, Badiou, C., additional, Bouschon, P., additional, Patra, V., additional, van Wamel, W., additional, Iwata, M., additional, Nakajima, S., additional, Henry, T., additional, Horvat, B., additional, Vandenesh, F., additional, Nicolas, J., additional, Lina, G., additional, Nosbaum, A., additional, and Vocanson, M., additional
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- 2021
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3. Facteurs associés à la colonisation asymptomatique par Clostridioides difficile à l’admission : étude de cohorte prospective dans un centre hospitalo-universitaire
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Khanafer, N., primary, Bennia, S., additional, Martin-Gaujard, G., additional, Juillard, L., additional, Rimmelé, T., additional, Argaud, L., additional, Martin, O., additional, Cassier, P., additional, Vandenesh, F., additional, and Vanhems, P., additional
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- 2020
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4. Unusual infections after pulmonary transplantation
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Etienne, B, primary, Levrey, H, additional, Bertocchi, M, additional, Rabodonirina, M, additional, Celard, M, additional, Etienne, J, additional, Vandenesh, F, additional, Piens, M A, additional, Paulus, S, additional, Bastien, O, additional, and Mornex, J F, additional
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- 1996
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5. The impact of valve surgery on short- and long-term mortality in left-sided infective endocarditis: do differences in methodological approaches explain previous conflicting results?
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Bannay, Aurélie, Hoen, Bruno, Duval, Xavier, Obadia, Jean-François, Selton-Suty, Christine, Le Moing, Vincent, Tattevin, Pierre, Iung, Bernard, Delahaye, François, Alla, François, Briancon, Stephanie, Bruneval, P, Danchin, N, Goulet, V., Roudaut, R, Salomon, R., Texier-Maugein, J., Vandenesh, F., Bernard, Y., Duchêne, F, Plesiat, P., Doco-Lecompte, T., Weber, M, Beguinot, Isabelle, Nazeyrollas, P., Vernet, V, Garin, B, Lacassin, F, Robert, J, Andremont, A, Garbaz, E, Leport, C, Mainardi, Jean Luc, Ruimy, R., Chidiac, C, Etienne, J, Boucherit, S., Bourezane, Y., Nouioua, W, Renaud, D, Bouvet, A, Collobert, G., Merad, B, Schlegel, L., BES, M, Service des maladies infectieuses et tropicales, Centre Hospitalier Régional Universitaire [Besançon] (CHRU Besançon)-Hôpital Saint-Jacques, Laboratoire Chrono-environnement - UFC (UMR 6249) (LCE), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Modèles et méthodes de l'évaluation thérapeutique des maladies chroniques, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Bichat - Claude Bernard, Service des maladies infectieuses et réanimation médicale, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou, Service de cardiologie, Université Paris Diderot - Paris 7 (UPD7)-AP-HP - Hôpital Bichat - Claude Bernard [Paris]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Service Médecine légale et Droit de la Santé, Nancy Université, Service d'Epidémiologie et Evaluations Cliniques [CHRU Nancy] (Pôle S2R), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Ecole de santé publique, Université Paris Descartes - Paris 5 (UPD5)-Nancy Université, Risques, maladies chroniques et société : des systèmes biologiques aux populations, Université Henri Poincaré - Nancy 1 (UHP), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Hôpital Saint-Jacques, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Modèles et méthodes de l'évaluation thérapeutique des maladies chroniques (U738 / UMR_S738), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), Hôpital Louis Pradel [CHU - HCL], Hospices Civils de Lyon (HCL), Centre Hospitalier Universitaire de Nancy (CHU Nancy), Département Maladies Infectieuses et Tropicales, Hôpital Universitaire, Montpellier, France, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service des maladies infectieuses et réanimation médicale [Rennes] = Infectious Disease and Intensive Care [Rennes], CHU Pontchaillou [Rennes], Université Paris Diderot - Paris 7 (UPD7)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Hôpital Saint-Jacques, Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ), Université Paris Diderot - Paris 7 ( UPD7 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Hôpital Pontchaillou, Assistance publique - Hôpitaux de Paris (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris]-Université Paris Diderot - Paris 7 ( UPD7 ), Service d'Epidémiologie et Evaluations Cliniques [CHRU Nancy] ( Pôle S2R ), Centre Hospitalier Régional Universitaire de Nancy ( CHRU Nancy ), Université Paris Descartes - Paris 5 ( UPD5 ) -Nancy Université, Laboratoire Chrono-environnement - UFC (UMR 6249) ( LCE ), Université Bourgogne Franche-Comté [COMUE] ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Service des maladies infectieuses et réanimation médicale [Rennes], Hôpital Pontchaillou-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
- Subjects
Male ,medicine.medical_specialty ,Cross-sectional study ,Population ,Heart Valve Diseases ,Kaplan-Meier Estimate ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Internal medicine ,medicine ,Endocarditis ,Humans ,030212 general & internal medicine ,Prospective Studies ,education ,Prospective cohort study ,Aged ,education.field_of_study ,Proportional hazards model ,business.industry ,Hazard ratio ,Endocarditis, Bacterial ,Length of Stay ,Middle Aged ,medicine.disease ,Confidence interval ,3. Good health ,Surgery ,[ SDV.MHEP.MI ] Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Cross-Sectional Studies ,Treatment Outcome ,Infective endocarditis ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Female ,Cardiology and Cardiovascular Medicine ,business - Abstract
International audience; Aims The aim of this study was to evaluate the effect of valve surgery (VS) in infective endocarditis (IE) on 5-year mortality and to evaluate whether conflicting results reported by previous studies could be due to differences in their methodological approaches. Methods and results Four hundred and forty-nine patients with a definite left-sided IE were selected from a prospective, population-based study. Association between VS and 5-year mortality was examined with a Cox model. To determine the impact of different methodological approaches, we also analysed the relationship between VS and mortality in our database, according to each method used in the five previous studies. Valve surgery was performed in 240 patients (53%). It was associated with an increase in short-term mortality [within the first 14 post-operative days; adjusted hazard ratio (HR), 3.69; 95% confidence interval (CI), 2.17-6.25; P < 0.0001] and a decrease in long-term mortality (adjusted HR, 0.55; 95% CI, 0.35-0.87; P = 0.01). At least 188 days of follow-up were required for VS to provide an overall survival advantage. When applying each study's method to our database, we obtained results similar to those reported. Conclusion Previous conflicting results appear to be related to differences in statistical methods. When using appropriate models, we found that VS was significantly associated with reduced long-term mortality.
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- 2009
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6. E-03: Évolution à 2 mois des infections à C. difficile (ICD) : cohorte prospective
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Khanafer, N., primary, Perraud, M., additional, El Guerche Seblain, C., additional, Vandenesh, F., additional, Voirin, N., additional, and Vanhems, P., additional
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- 2014
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7. R285 Influence de la circulation extracorporelle (CEC) sur le taux sérique de la procalcitonine (PCT) et de la c-réactive proteine (CRP)
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Aouifi, A., primary, Bouvier, H, additional, C.H.iari, P, additional, Piriou, V, additional, Guidollet, J, additional, Célard, M, additional, Blanc, P, additional, Joseph, P, additional, Vandenesh, F, additional, J.E.gaden, O, additional, and Lehot, J.J., additional
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- 1998
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8. 010 Innate and adaptive immunity to Staphylococcus aureuscontribute to the development of atopic dermatitis-like skin inflammation
- Author
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Braun, C., Badiou, C., Bouschon, P., Patra, V., van Wamel, W., Iwata, M., Nakajima, S., Henry, T., Horvat, B., Vandenesh, F., Nicolas, J., Lina, G., Nosbaum, A., and Vocanson, M.
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- 2021
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9. Staphylococcus aureus-specific skin resident memory T cells protect against bacteria colonization but exacerbate atopic dermatitis-like flares in mice.
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Braun C, Badiou C, Guironnet-Paquet A, Iwata M, Lenief V, Mosnier A, Beauclair C, Renucci E, Bouschon P, Cuzin R, Briend Y, Patra V, Patot S, Scharschmidt TC, van Wamel W, Lemmens N, Nakajima S, Vandenesh F, Nicolas JF, Lina G, Nosbaum A, and Vocanson M
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- Animals, Mice, Mice, Inbred C57BL, Disease Models, Animal, Female, Cytokines metabolism, Cytokines immunology, Symptom Flare Up, Staphylococcal Skin Infections immunology, Staphylococcal Skin Infections microbiology, Dermatitis, Atopic immunology, Dermatitis, Atopic microbiology, Staphylococcus aureus immunology, Skin immunology, Skin microbiology, Skin pathology, Staphylococcal Infections immunology, Memory T Cells immunology
- Abstract
Background: The contribution of Staphylococcus aureus to the exacerbation of atopic dermatitis (AD) is widely documented, but its role as a primary trigger of AD skin symptoms remains poorly explored., Objectives: This study sought to reappraise the main bacterial factors and underlying immune mechanisms by which S aureus triggers AD-like inflammation., Methods: This study capitalized on a preclinical model, in which different clinical isolates were applied in the absence of any prior experimental skin injury., Results: The development of S aureus-induced dermatitis depended on the nature of the S aureus strain, its viability, the concentration of the applied bacterial suspension, the production of secreted and nonsecreted factors, as well as the activation of accessory gene regulatory quorum sensing system. In addition, the rising dermatitis, which exhibited the well-documented AD cytokine signature, was significantly inhibited in inflammasome adaptor apoptosis-associated speck-like protein containing a CARD domain- and monocyte/macrophage-deficient animals, but not in T- and B-cell-deficient mice, suggesting a major role for the innate response in the induction of skin inflammation. However, bacterial exposure generated a robust adaptive immune response against S aureus, and an accumulation of S aureus-specific γδ and CD4
+ tissue resident memory T cells at the site of previous dermatitis. The latter both contributed to worsen the flares of AD-like dermatitis on new bacteria exposures, but also, protected the mice from persistent bacterial colonization., Conclusions: These data highlight the induction of unique AD-like inflammation, with the generation of proinflammatory but protective tissue resident memory T cells in a context of natural exposure to pathogenic S aureus strains., Competing Interests: Disclosure statement This study was supported by institutional grants from the Institut National de la Santé et de la Recherche Médicale (INSERM) and from Pfizer. Disclosure of potential conflict of interest: The authors declare that they have no relevant conflicts of interest., (Copyright © 2024 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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10. Polyclonal expansion of TCR Vbeta 21.3 + CD4 + and CD8 + T cells is a hallmark of Multisystem Inflammatory Syndrome in Children.
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Moreews M, Le Gouge K, Khaldi-Plassart S, Pescarmona R, Mathieu AL, Malcus C, Djebali S, Bellomo A, Dauwalder O, Perret M, Villard M, Chopin E, Rouvet I, Vandenesh F, Dupieux C, Pouyau R, Teyssedre S, Guerder M, Louazon T, Moulin-Zinsch A, Duperril M, Patural H, Giovannini-Chami L, Portefaix A, Kassai B, Venet F, Monneret G, Lombard C, Flodrops H, De Guillebon JM, Bajolle F, Launay V, Bastard P, Zhang SY, Dubois V, Thaunat O, Richard JC, Mezidi M, Allatif O, Saker K, Dreux M, Abel L, Casanova JL, Marvel J, Trouillet-Assant S, Klatzmann D, Walzer T, Mariotti-Ferrandiz E, Javouhey E, and Belot A
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- Adult, Child, Child, Preschool, Cytokines blood, HLA-DR Antigens immunology, Humans, Lymphocyte Activation immunology, SARS-CoV-2 immunology, CD4-Positive T-Lymphocytes immunology, CD8-Positive T-Lymphocytes immunology, COVID-19 immunology, COVID-19 pathology, Receptors, Antigen, T-Cell, alpha-beta immunology, Systemic Inflammatory Response Syndrome immunology, Systemic Inflammatory Response Syndrome pathology
- Abstract
Multiple Inflammatory Syndrome in Children (MIS-C) is a delayed and severe complication of SARS-CoV-2 infection that strikes previously healthy children. As MIS-C combines clinical features of Kawasaki disease and Toxic Shock Syndrome (TSS), we aimed to compare the immunological profile of pediatric patients with these different conditions. We analyzed blood cytokine expression, and the T cell repertoire and phenotype in 36 MIS-C cases, which were compared to 16 KD, 58 TSS, and 42 COVID-19 cases. We observed an increase of serum inflammatory cytokines (IL-6, IL-10, IL-18, TNF-α, IFNγ, CD25s, MCP1, IL-1RA) in MIS-C, TSS and KD, contrasting with low expression of HLA-DR in monocytes. We detected a specific expansion of activated T cells expressing the Vβ21.3 T cell receptor β chain variable region in both CD4 and CD8 subsets in 75% of MIS-C patients and not in any patient with TSS, KD, or acute COVID-19; this correlated with the cytokine storm detected. The T cell repertoire returned to baseline within weeks after MIS-C resolution. Vβ21.3+ T cells from MIS-C patients expressed high levels of HLA-DR, CD38 and CX3CR1 but had weak responses to SARS-CoV-2 peptides in vitro . Consistently, the T cell expansion was not associated with specific classical HLA alleles. Thus, our data suggested that MIS-C is characterized by a polyclonal Vβ21.3 T cell expansion not directed against SARS-CoV-2 antigenic peptides, which is not seen in KD, TSS and acute COVID-19., (Copyright © 2021, American Association for the Advancement of Science.)
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- 2021
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11. Susceptibility trends including emergence of linezolid resistance among coagulase-negative staphylococci and meticillin-resistant Staphylococcus aureus from invasive infections.
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Decousser JW, Desroches M, Bourgeois-Nicolaos N, Potier J, Jehl F, Lina G, Cattoir V, Vandenesh F, and Doucet-Populaire F
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- Bacterial Proteins genetics, Coagulase genetics, France, Fusidic Acid pharmacology, Gentamicins pharmacology, Hospitals, Humans, Levofloxacin pharmacology, Methicillin pharmacology, Methicillin-Resistant Staphylococcus aureus genetics, Methicillin-Resistant Staphylococcus aureus isolation & purification, Microbial Sensitivity Tests, Prospective Studies, RNA, Ribosomal, 23S genetics, Rifampin pharmacology, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Staphylococcal Infections microbiology, Staphylococcus epidermidis isolation & purification, Anti-Bacterial Agents pharmacology, Drug Resistance, Multiple, Bacterial genetics, Linezolid pharmacology, Methicillin-Resistant Staphylococcus aureus drug effects, Staphylococcal Infections drug therapy
- Abstract
Multiresistance in staphylococci constitutes a major challenge for the antimicrobial chemotherapy of invasive infections such as bacteraemia or bone and joint infections (BJIs). A nationwide prospective study was performed to detect antimicrobial resistance trends among staphylococci causing invasive infections. Between October 2011 and February 2012, 367 meticillin-resistant Staphylococcus aureus (MRSA) and 695 coagulase-negative staphylococci (CoNS) were collected from 37 French hospitals, mainly from bacteraemia (59.9%) and osteoarticular infections (29.0%). Minimum inhibitory concentrations (MICs) were determined by broth microdilution, and specific screening and confirmation tests were performed to detect heterogeneous vancomycin-intermediate S. aureus (hVISA). Staphylococcal isolates exhibiting a linezolid MIC>4 mg/L were further characterised to determinate their clonal relationships and the mechanism of resistance. MRSA exhibited additional resistances, including levofloxacin (82% associated resistance), gentamicin (13.6%), fusidic acid (13.6%) and rifampicin (6.5%), compromising oral step-down therapy in BJIs. Only two hVISA strains (0.5%) were identified. Among the CoNS, mainly Staphylococcus epidermidis (506/695; 72.8%), resistance to first- and second-line agents was more common. Linezolid resistance was identified in 10 CoNS (1.4%). The most frequent linezolid resistance mechanism was the G2576T mutation in 23S rDNA (9/10). For the first time in France, the cfr gene was found in five related sequence type 2 (ST2) S. epidermidis from two different hospitals, in association with ribosomal RNA and L3 ribosomal protein mutations. These national data must be considered when selecting empirical treatment for invasive staphylococcal infections. Moreover, the emergence and spread of linezolid-resistant CoNS carrying the cfr gene is of concern., (Copyright © 2015 Elsevier B.V. and the International Society of Chemotherapy. All rights reserved.)
- Published
- 2015
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