Darío Augusto Fernández Do Porto
Facultad de Ciencias Exactas y Naturales
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Immunology and Cell Biology | 2012
Darío Augusto Fernández Do Porto; Javier O. Jurado; Virginia Pasquinelli; Ivana B. Alvarez; Romina H Aspera; Rosa M. Musella; Verónica E. García
Protective immunity against Mycobacterium tuberculosis is primarily mediated by the interaction of antigen‐specific T cells and antigen presenting cells, which often depends on the interplay of cytokines produced by these cells. Costimulatory signals represent a complex network of receptor–ligand interactions that qualitatively and quantitatively influence immune responses. Thus, here we investigated the function of CD137 and CD137L, molecules known to have a central role in immune regulation, during human tuberculosis (TB). We demonstrated that M. tuberculosis antigen stimulation increased both CD137 and CD137L expression on monocytes and NK cells from TB patients and healthy donors, but only up‐regulated CD137 on T lymphocytes. Blockage of the CD137 pathway enhanced the levels of interferon (IFN)‐γ and tumor necrosis factor (TNF)‐α produced by monocytes and NK against M. tuberculosis. In contrast, CD137 blockage significantly decreased the specific degranulation of CD8+ T cells and the percentage of specific IFN‐γ and TNF‐α producing lymphocytes against the pathogen. Furthermore, inhibition of the CD137 pathway markedly increased T‐cell apoptosis. Taken together, our results demonstrate that CD137:CD137L interactions regulate the innate and adaptive immune response of the host against M. tuberculosis.
PLOS ONE | 2012
Jerónimo Andrés Auzmendi; Darío Augusto Fernández Do Porto; Carla Pallavicini; Luciano Moffatt
Background Resolving the kinetics of agonist binding events separately from the subsequent channel gating processes requires the ability of applying and removing the agonist before channel gating occurs. No reported system has yet achieved pulses shorter than 100 µs, necessary to study nicotinic ACh receptor or AMPA receptor activation. Methodology/Principal Findings Solution exchange systems deliver short agonist pulses by moving a sharp interface between a control and an experimental solution across a channel preparation. We achieved shorter pulses by means of an exchange system that combines a faster flow velocity, narrower partition between the two streams, and increased velocity and bandwidth of the movement of the interface. The measured response of the entire system was fed back to optimize the voltage signal applied to the piezoelectric actuator overcoming the spurious oscillations arising from the mechanical resonances when a high bandwidth driving function was applied. Optimization was accomplished by analyzing the transfer function of the solution exchange system. When driven by optimized command pulses the enhanced system provided pulses lasting 26 ± 1 µs and exchanging 93 ± 1% of the solution, as measured in the open tip of a patch pipette. Conclusions/Significance Pulses of this duration open the experimental study of the molecular events that occur between the agonist binding and the opening of the channel.
Genome Announcements | 2014
Germán Burguener; M.J. Maldonado; Santiago Revale; Darío Augusto Fernández Do Porto; Nicolas Rascovan; Martin P. Vazquez; Maria Eugenia Farias; Marcelo A. Martí; Adrián G. Turjanski
ABSTRACT Halorubrum sp. strain AJ67, an extreme halophilic UV-resistant archaeon, was isolated from Laguna Antofalla in the Argentinian Puna. The draft genome sequence suggests the presence of potent enzyme candidates that are essential for survival under multiple environmental extreme conditions, such as high UV radiation, elevated salinity, and the presence of critical arsenic concentrations.
PLOS ONE | 2013
Darío Augusto Fernández Do Porto; Jerónimo Andrés Auzmendi; Delfina Peña; Verónica Edith García; Luciano Moffatt
Immune responses are qualitatively and quantitatively influenced by a complex network of receptor-ligand interactions. Among them, the CD137:CD137L pathway is known to modulate innate and adaptive human responses against Mycobacterium tuberculosis. However, the underlying mechanisms of this regulation remain unclear. In this work, we developed a Bayesian Computational Model (BCM) of in vitro CD137 signaling, devised to fit previously gathered experimental data. The BCM is fed with the data and the prior distribution of the model parameters and it returns their posterior distribution and the model evidence, which allows comparing alternative signaling mechanisms. The BCM uses a coupled system of non-linear differential equations to describe the dynamics of Antigen Presenting Cells, Natural Killer and T Cells together with the interpheron (IFN)-γ and tumor necrosis factor (TNF)-α levels in the media culture. Fast and complete mixing of the media is assumed. The prior distribution of the parameters that describe the dynamics of the immunological response was obtained from the literature and theoretical considerations Our BCM applies successively the Levenberg-Marquardt algorithm to find the maximum a posteriori likelihood (MAP); the Metropolis Markov Chain Monte Carlo method to approximate the posterior distribution of the parameters and Thermodynamic Integration to calculate the evidence of alternative hypothesis. Bayes factors provided decisive evidence favoring direct CD137 signaling on T cells. Moreover, the posterior distribution of the parameters that describe the CD137 signaling showed that the regulation of IFN-γ levels is based more on T cells survival than on direct induction. Furthermore, the mechanisms that account for the effect of CD137 signaling on TNF-α production were based on a decrease of TNF-α production by APC and, perhaps, on the increase in APC apoptosis. BCM proved to be a useful tool to gain insight on the mechanisms of CD137 signaling during human response against Mycobacterium tuberculosis.
Scientific Reports | 2018
Pablo Ivan Pereira Ramos; Darío Augusto Fernández Do Porto; Esteban Lanzarotti; Ezequiel Sosa; Germán Burguener; Agustín M. Pardo; Cecilia C. Klein; Marie-France Sagot; Ana Tereza Ribeiro de Vasconcelos; Ana Cristina Gales; Marcelo A. Martí; Adrián G. Turjanski; Marisa Fabiana Nicolás
Klebsiella pneumoniae (Kp) is a globally disseminated opportunistic pathogen that can cause life-threatening infections. It has been found as the culprit of many infection outbreaks in hospital environments, being particularly aggressive towards newborns and adults under intensive care. Many Kp strains produce extended-spectrum β-lactamases, enzymes that promote resistance against antibiotics used to fight these infections. The presence of other resistance determinants leading to multidrug-resistance also limit therapeutic options, and the use of ‘last-resort’ drugs, such as polymyxins, is not uncommon. The global emergence and spread of resistant strains underline the need for novel antimicrobials against Kp and related bacterial pathogens. To tackle this great challenge, we generated multiple layers of ‘omics’ data related to Kp and prioritized proteins that could serve as attractive targets for antimicrobial development. Genomics, transcriptomics, structuromic and metabolic information were integrated in order to prioritize candidate targets, and this data compendium is freely available as a web server. Twenty-nine proteins with desirable characteristics from a drug development perspective were shortlisted, which participate in important processes such as lipid synthesis, cofactor production, and core metabolism. Collectively, our results point towards novel targets for the control of Kp and related bacterial pathogens.
Genome Announcements | 2018
María Mercedes Palomino; Germán Burguener; Josefina Campos; Mariana C. Allievi; Joaquina Fina-Martin; Mariano Prado Acosta; Darío Augusto Fernández Do Porto; Sandra M. Ruzal
ABSTRACT Lactobacillus helveticus is a lactic acid bacterium used traditionally in the dairy industry, especially in the manufacture of cheeses. We present here the 2,141,841-bp draft genome sequence of L. helveticus strain ATCC 12046, a potential starter strain for improving cheese production.
Frontiers in Microbiology | 2018
Liliana Rondón; Estefanía Urdániz; Cecilia Latini; Florencia Payaslian; Mario Matteo; Ezequiel Sosa; Darío Augusto Fernández Do Porto; Adrián G. Turjanski; Sergio I. Nemirovsky; Graham F. Hatfull; Susana Poggi; Mariana Piuri
The World Health Organization (WHO) estimates that 40% of tuberculosis (TB) cases are not diagnosed and treated correctly. Even though there are several diagnostic tests available in the market, rapid, easy, inexpensive detection, and drug susceptibility testing (DST) of Mycobacterium tuberculosis is still of critical importance specially in low and middle-income countries with high incidence of the disease. In this work, we have developed a microscopy-based methodology using the reporter mycobacteriophage mCherrybombϕ for detection of Mycobacterium spp. and phenotypic determination of rifampicin resistance within just days from sputum sample collection. Fluoromycobacteriophage methodology is compatible with regularly used protocols in clinical laboratories for TB diagnosis and paraformaldehyde fixation after infection reduces biohazard risks with sample analysis by fluorescence microscopy. We have also set up conditions for discrimination between M. tuberculosis complex (MTBC) and non-tuberculous mycobacteria (NTM) strains by addition of p-nitrobenzoic acid (PNB) during the assay. Using clinical isolates of pre-XDR and XDR-TB strains from this study, we tested mCherrybombΦ for extended DST and we compared the antibiotic resistance profile with those predicted by whole genome sequencing. Our results emphasize the utility of a phenotypic test for M. tuberculosis extended DST. The many attributes of mCherrybombΦ suggests this could be a useful component of clinical microbiological laboratories for TB diagnosis and since only viable cells are detected this could be a useful tool for monitoring patient response to treatment.
Tuberculosis | 2016
Lucas A. Defelipe; Darío Augusto Fernández Do Porto; Pablo Ivan Pereira Ramos; Marisa Fabiana Nicolás; Ezequiel Sosa; Leandro G. Radusky; Esteban Lanzarotti; Adrián G. Turjanski; Marcelo A. Martí
Tuberculosis | 2017
María Mercedes Bigi; Beatriz López; Federico Carlos Blanco; María C. Sasiain; Silvia de la Barrera; Marcelo A. Martí; Ezequiel Sosa; Darío Augusto Fernández Do Porto; Viviana Ritacco; Fabiana Bigi; Marcelo Soria
Tuberculosis | 2018
Lucas A. Defelipe; Darío Augusto Fernández Do Porto; Pablo Ivan Pereira Ramos; Marisa Fabiana Nicolás; Ezequiel Sosa; Leandro G. Radusky; Esteban Lanzarotti; Adrián G. Turjanski; Marcelo A. Martí