Laurent Mesnard
French Institute of Health and Medical Research
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Publication
Featured researches published by Laurent Mesnard.
Journal of The American Society of Nephrology | 2016
Carole Hénique; Guillaume Bollée; Olivia Lenoir; Neeraj Dhaun; Marine Camus; Anna Chipont; Kathleen Flosseau; Chantal Mandet; Masayuki Yamamoto; Alexandre Karras; Eric Thervet; Patrick Bruneval; Dominique Nochy; Laurent Mesnard; Pierre Louis Tharaux
Necrotizing and crescentic rapidly progressive GN (RPGN) is a life-threatening syndrome characterized by a rapid loss of renal function. Evidence suggests that podocyte expression of the transcription factor peroxisome proliferator-activated receptor γ (PPARγ) may prevent podocyte injury, but the function of glomerular PPARγ in acute, severe inflammatory GN is unknown. Here, we observed marked loss of PPARγ abundance and transcriptional activity in glomerular podocytes in experimental RPGN. Blunted expression of PPARγ in podocyte nuclei was also found in kidneys from patients diagnosed with crescentic GN. Podocyte-specific Pparγ gene targeting accentuated glomerular damage, with increased urinary loss of albumin and severe kidney failure. Furthermore, a PPARγ gain-of-function approach achieved by systemic administration of thiazolidinedione (TZD) failed to prevent severe RPGN in mice with podocyte-specific Pparγ gene deficiency. In nuclear factor erythroid 2-related factor 2 (NRF2)-deficient mice, loss of podocyte PPARγ was observed at baseline. NRF2 deficiency markedly aggravated the course of RPGN, an effect that was partially prevented by TZD administration. Furthermore, delayed administration of TZD, initiated after the onset of RPGN, still alleviated the severity of experimental RPGN. These findings establish a requirement for the NRF2-PPARγ cascade in podocytes, and we suggest that these transcription factors have a role in augmenting the tolerance of glomeruli to severe immune-complex mediated injury. The NRF2-PPARγ pathway may be a therapeutic target for RPGN.
American Journal of Kidney Diseases | 2003
Laurent Mesnard; Michel Delahousse; Alain Raynaud; Gilles de Tovar; Myriam Pastural; Michel Chaignon; Philippe Aubert; Jean-Philippe Haymann
When renal arterial thrombosis occurs, the etiologic process plays an important role in the impact of ischemia on renal tissue. If the occlusion is caused by trauma, infarction rapidly occurs. However, when renal arterial thrombosis results from other processes, collateral vessels may develop and thus enables a prolonged ischemia without necrosis. The following is a case report of an acute renal failure caused by renal arterial thrombosis of a single functional kidney, which had a favorable outcome despite delayed treatment by percutaneous angioplasty. This report suggests that detection by ultrasonography of a venous renal flow could be of significant value to assess a collateral vascularization and thus should require an arteriography with angioplasty even after a delayed presentation.
Kidney International | 2011
Marine Baron; Jean-Philippe Haymann; Alice Wolfromm; Eric Rondeau; Laurent Mesnard
A 28-year-old man, a native of Morocco, was hospitalized for acute renal failure associated with persistent vomiting. The patient first presented at age 16 with cyclical episodes of abdominal pain with vomiting, relieved transiently by compulsive hot baths. He had continuously smoked 15 cigarettes and 5 cannabis ‘joints’ a day since the age of 14 years. He denied consumption of medication and other illicit drugs or alcohol.
Nature Communications | 2017
Carole Hénique; Guillaume Bollée; Xavier Loyer; Florian Grahammer; Neeraj Dhaun; Marine Camus; Julien Vernerey; Léa Guyonnet; François Gaillard; Hélène Lazareth; Charlotte Meyer; Imane Bensaada; Luc Legrès; Takashi Satoh; Shizuo Akira; Patrick Bruneval; Stefanie Dimmeler; Alain Tedgui; Alexandre Karras; Eric Thervet; Dominique Nochy; Tobias B. Huber; Laurent Mesnard; Olivia Lenoir; Pierre-Louis Tharaux
Crescentic rapidly progressive glomerulonephritis (RPGN) represents the most aggressive form of acquired glomerular disease. While most therapeutic approaches involve potentially toxic immunosuppressive strategies, the pathophysiology remains incompletely understood. Podocytes are glomerular epithelial cells that are normally growth-arrested because of the expression of cyclin-dependent kinase (CDK) inhibitors. An exception is in RPGN where podocytes undergo a deregulation of their differentiated phenotype and proliferate. Here we demonstrate that microRNA-92a (miR-92a) is enriched in podocytes of patients and mice with RPGN. The CDK inhibitor p57Kip2 is a major target of miR-92a that constitutively safeguards podocyte cell cycle quiescence. Podocyte-specific deletion of miR-92a in mice de-repressed the expression of p57Kip2 and prevented glomerular injury in RPGN. Administration of an anti-miR-92a after disease initiation prevented albuminuria and kidney failure, indicating miR-92a inhibition as a potential therapeutic strategy for RPGN. We demonstrate that miRNA induction in epithelial cells can break glomerular tolerance to immune injury.Crescentic rapidly progressive glomerulonephritis is a severe form of glomerula disease characterized by podocyte proliferation and migration. Here Henique et al. demonstrate that inhibition of miRNA-92a prevents kidney failure by promoting the expression of CDK inhibitor p57Kip2 that regulates podocyte cell cycle.
bioRxiv | 2016
Remi Torracinta; Laurent Mesnard; Susan Levine; Rita Shaknovich; Maureen R. Hanson; Fabien Campagne
A number of approaches have been developed to call somatic variation in high-throughput sequencing data. Here, we present an adaptive approach to calling somatic variations. Our approach trains a deep feed-forward neural network with semi-simulated data. Semi-simulated datasets are constructed by planting somatic mutations in real datasets where no mutations are expected. Using semi-simulated data makes it possible to train the models with millions of training examples, a usual requirement for successfully training deep learning models. We initially focus on calling variations in RNA-Seq data. We derive semi-simulated datasets from real RNA-Seq data, which offer a good representation of the data the models will be applied to. We test the models on independent semi-simulated data as well as pure simulations. On independent semi-simulated data, models achieve an AUC of 0.973. When tested on semi-simulated exome DNA datasets, we find that the models trained on RNA-Seq data remain predictive (sens 0.4 & spec 0.9 at cutoff of P > = 0.9), albeit with lower overall performance (AUC=0.737). Interestingly, while the models generalize across assay, training on RNA-Seq data lowers the confidence for a group of mutations. Haloplex exome specific training was also performed, demonstrating that the approach can produce probabilistic models tuned for specific assays and protocols. We found that the method adapts to the characteristics of experimental protocol. We further illustrate these points by training a model for a trio somatic experimental design when germline DNA of both parents is available in addition to data about the individual. These models are distributed with Goby (http://goby.campagnelab.org).
Nephrologie & Therapeutique | 2017
K. Louis; Y. Luque; A. Corchia; Sandrine Placier; Yi-Chun Xu-Dubois; Sophie Vandermeersch; Eric Rondeau; Laurent Mesnard
Archive | 2016
Remi Torracinta; Laurent Mesnard; Susan Levine; Rita Shaknovich; Maureen R. Hanson; Fabien Campagne
Nephrologie & Therapeutique | 2016
G. Hanouna; Laurent Mesnard; Sophie Vandermeersch; P. Joëlle; Sandrine Placier; Jean-Philippe Haymann; Aurélien Bataille; Laurent Baud; Emmanuel Letavernier
Nephrologie & Therapeutique | 2016
Y. Luque; Olivia Lenoir; L. Hardy; Philippe Bonnin; Perrine Frère; Sandrine Placier; Alain Schmitt; Eric Rondeau; Laurent Mesnard; Pierre-Louis Tharaux
Archive | 2015
Fabien Campagne; Laurent Mesnard; Manikkam Suthanthiran; Thangamani Muthukumar