7 results on '"Jon Sicilia"'
Search Results
2. Insights into the Complexity of a Dormant Mycobacterium tuberculosis Cluster Once Transmission Is Resumed
- Author
-
Fermin Acosta, Miguel Martínez-Lirola, Pedro J. Sola-Campoy, Jon Sicilia, Teresa Guerra-Galán, Sandra R. Maus, Patricia Muñoz, Laura Pérez-Lago, and Darío García de Viedma
- Subjects
tuberculosis ,cluster ,transmission ,reactivation ,within-host diversity ,clonal complexity ,Microbiology ,QR1-502 - Abstract
ABSTRACT Genotyping tools help identify the complexity in Mycobacterium tuberculosis transmission clusters. We carried out a thorough analysis of the epidemiological and bacteriological complexity of a cluster in Almería, Spain. The cluster, initially associated with Moroccan migrants and with no secondary cases identified in 4 years, then reappeared in Spanish-born individuals. In one case, two Mycobacterium tuberculosis clonal variants were identified. We reanalyzed the cluster, supported by the characterization of multiple cultured isolates and respiratory specimens, whole-genome sequencing, and epidemiological case interviews. Our findings showed that the cluster, which was initially thought to have restarted activity with just a single case harboring a small degree of within-host diversity, was in fact currently growing due to coincidental reactivation of past exposures, with clonal diversity transmitted throughout the cluster. In one case, within-host diversity was amplified, probably due to prolonged diagnostic delay. IMPORTANCE The precise study of the dynamics of tuberculosis transmission in socio-epidemiologically complex scenarios may require more thorough analysis than the standard molecular epidemiology strategies. Our study illustrates the epidemiological and bacteriological complexity present in a transmission cluster in a challenging epidemiological setting with a high proportion of migrant cases. The combination of whole-genome sequencing, refined and refocused epidemiological interviews, and in-depth analysis of the bacterial composition of sputa and cultured isolates was crucial in order to correctly reinterpret the true nature of this cluster. Our global approach allowed us to reinterpret correctly the unnoticed epidemiological and bacteriological complexity involved in the Mycobacterium tuberculosis transmission event under study, which had been overlooked by the usual molecular epidemiology approaches.
- Published
- 2022
- Full Text
- View/download PDF
3. Variable selection for nonlinear dimensionality reduction of biological datasets through bootstrapping of correlation networks.
- Author
-
David G. Aragones, Miguel Palomino-Segura, Jon Sicilia, Georgiana Crainiciuc, Iván Ballesteros, Fátima Sánchez-Cabo, Andrés Hidalgo, and Gabriel Fernández Calvo
- Published
- 2024
- Full Text
- View/download PDF
4. Strategies of neutrophil diversification
- Author
-
Miguel Palomino-Segura, Jon Sicilia, Iván Ballesteros, and Andrés Hidalgo
- Subjects
Immunology ,Immunology and Allergy - Published
- 2023
- Full Text
- View/download PDF
5. ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.
- Author
-
Miguel Molina-Moreno, Iván González-Díaz 0001, Jon Sicilia, Georgiana Crainiciuc, Miguel Palomino-Segura, Andrés Hidalgo, and Fernando Díaz-de-María
- Published
- 2022
- Full Text
- View/download PDF
6. Recurrences of multidrug-resistant tuberculosis: Strains involved, within-host diversity, and fine-tuned allocation of reinfections
- Author
-
Noemí Yokobori, Mario José Matteo, Laura Pérez-Lago, Iñaki Comas, Viviana Ritacco, Marta Herranz, Beatriz López, Sandra R Maus, Jon Sicilia, Roxana Paul, Sandra Fajardo, Norberto Simboli, Patricia Muñoz, Johana Monteserin, Darío García de Viedma, Álvaro Chiner-Oms, Fermín Acosta, Instituto de Salud Carlos III, European Research Council, Agencia Nacional de Promoción Científica y Tecnológica (Argentina), Comas, Iñaki, and Chiner-Oms, Álvaro
- Subjects
Tuberculosis ,Argentina ,Biology ,Microbiology ,Persistence (computer science) ,Tuberculosis, Multidrug-Resistant ,MDR ,medicine ,Animals ,SNP ,Recurrences ,Clonal variants ,Diversity ,General Veterinary ,General Immunology and Microbiology ,Molecular epidemiology ,Strain (chemistry) ,Host (biology) ,Mycobacterium tuberculosis ,General Medicine ,medicine.disease ,Multiple drug resistance ,Reinfection ,WGS - Abstract
34 páginas, 13 figuras, Recurrent tuberculosis occurs due to exogenous reinfection or reactivation/persistence. We analysed 90 sequential MDR Mtb isolates obtained in Argentina from 27 patients with previously diagnosed MDR-TB that recurred in 2018 (1-10 years, 2-10 isolates per patient). Three long-term predominant strains were responsible for 63% of all MDR-TB recurrences. Most of the remaining patients were infected by strains different from each other. Reactivation/persistence of the same strain caused all but one recurrence, which was due to a reinfection with a predominant strain. One of the prevalent strains showed marked stability in the recurrences, while in another strain higher SNP-based diversity was observed. Comparisons of intra- versus inter-patient SNP distances identified two possible reinfections with closely related variants circulating in the community. Our results show a complex scenario of MDR-TB infections in settings with predominant MDR Mtb strains., This work was supported by the ERANet-LAC (TRANS-TB-TRANS Project ELAC2015/T08-0664), the ISCIII (AC16/00057, 15/01554, 16/01449, 18/00599, 19/00331 and contract number MS15/00075) and the ANPCyT (grant number PICT-2016-3219). The authors are grateful to Dainora Jaloveckas (cienciatraducida.com) for editing and proofreading assistance.
- Published
- 2022
7. Behavioral immune landscapes of inflammation
- Author
-
Georgiana Crainiciuc, Miguel Palomino-Segura, Miguel Molina-Moreno, Jon Sicilia, David G. Aragones, Jackson Liang Yao Li, Rodrigo Madurga, José M. Adrover, Alejandra Aroca-Crevillén, Sandra Martin-Salamanca, Alfonso Serrano del Valle, Sandra D. Castillo, Heidi C. E. Welch, Oliver Soehnlein, Mariona Graupera, Fátima Sánchez-Cabo, Alexander Zarbock, Thomas E. Smithgall, Mauro Di Pilato, Thorsten R. Mempel, Pierre-Louis Tharaux, Santiago F. González, Angel Ayuso-Sacido, Lai Guan Ng, Gabriel F. Calvo, Iván González-Díaz, Fernando Díaz-de-María, Andrés Hidalgo, Ministerio de Ciencia e Innovación (España), Fundación La Caixa, Transatlantic Network of Excellence, Fondation Leducq, Unión Europea. Comisión Europea, Federation of European Biochemical Societies, European Molecular Biology Organization, Fundación ProCNIC, and Marie Curie
- Subjects
Inflammation ,Proteomics ,Mice ,Multidisciplinary ,src-Family Kinases ,Neutrophils ,Proto-Oncogene Proteins ,Leukocytes ,Animals ,Endothelium ,Cell Shape ,Article - Abstract
Transcriptional and proteomic profiling of individual cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of healthy and diseased tissues1,2. These approaches, however, do not describe dynamic scenarios in which cells continuously change their biochemical properties and downstream 'behavioural' outputs3-5. Here we used 4D live imaging to record tens to hundreds of morpho-kinetic parameters describing the dynamics of individual leukocytes at sites of active inflammation. By analysing more than 100,000 reconstructions of cell shapes and tracks over time, we obtained behavioural descriptors of individual cells and used these high-dimensional datasets to build behavioural landscapes. These landscapes recognized leukocyte identities in the inflamed skin and trachea, and uncovered a continuum of neutrophil states inside blood vessels, including a large, sessile state that was embraced by the underlying endothelium and associated with pathogenic inflammation. Behavioural screening in 24 mouse mutants identified the kinase Fgr as a driver of this pathogenic state, and interference with Fgr protected mice from inflammatory injury. Thus, behavioural landscapes report distinct properties of dynamic environments at high cellular resolution. This study was supported by RTI2018-095497-B-I00 from Ministerio de Ciencia e Innovación (MCIN), HR17_00527 from Fundación La Caixa, Transatlantic Network of Excellence (TNE-18CVD04) from the Leducq Foundation, and FET-OPEN (no. 861878) from the European Commission to A.H. M.P-S. is supported by a Federation of European Biochemical Societies and the EMBO ALTF (no. 1142-2020) long-term fellowships. J.S. is supported by a fellowship (PRE2019-089130) from MICINN and A.A.-C. is supported by fellowship CF/BQ/ DR19/11740022 from La Caixa Foundation. J.L.Y.L. was supported by A*STAR and a Juan de la Cierva JCI-2017-33136 Fellowship from MICINN. S.D.C. is a recipient of a Marie Sklodowska-Curie fellowship (749731). M.G. is supported by SAF2017-89116R-P from MCIN and HR18_00120 from la Fundación La Caixa. T.R.M. is supported by grant NIH AI163223, L.G.N. is supported by SIgN core funding from A*STAR, and G.F.C. is supported by MCIN/ AEI/10.13039/501100011033 (grant PID2019-110895RB-I00) and by Junta de Comunidades de Castilla-La Mancha (SBPLY/19/180501/000211). F.S.-C. is supported by MCIN (grant RTI2018- 102084-B-I00), O.S. is supported by the Leducq Foundation (TNE-18CVD04), F.D.-d.-M. is supported by MCIN (TEC2017-84395-P), and T.E.S. is supported by the National Cancer Institute, NIH grant CA233576. The CNIC is supported by the MCIN and the Pro-CNIC Foundation. Sí
- Published
- 2022
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.