Bustince Sola
![investigador](/sites/default/files/default_images/investigador.png)
• Ganador de los “Publons Peer Review Awards 2018” en: Physics
• Ganador de los “Publons Peer Review Awards 2018” en: Multidisciplinary
• Premio al mejor papel en fotónica (“Best photonic paper”) "12th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials2018" por el papel "Controlling Photon Statistics with Arrays of Quantum Emitters”.
Codirectores: Miguel Beruete e Iñigo Ederra
Universidad: Public University of Navarre
Facultad/escuela: Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación
Año: Calificación:
Doctorado en Matemáticas y con amplia formación en ciencias cuantitativas (Licenciado en Matemáticas, Licenciado en CC. y TT. Estadísticas, Tercer Ciclo Investigación Operativa). Durante sus primeros años en investigación biomédica, estudió dos años en la Facultad de Medicina y participó en varios proyectos de investigación relacionados con la Neurociencia Computacional. Desde 2009 se ha especializado en bioinformática y análisis de integración de datos, primero como post-doctorado y eventualmente como Assistant Professor en Karolinska Institutet (Suecia), y en segundo lugar como Senior Lecturer en King's College London (Reino Unido). Ha estado colaborando con grupos clínicos que investigan esclerosis múltiple, artritis reumatoide, COPD y cáncer entre otras enfermedades.
Since the emergence of high tech, biomedical research has benefited from the so-called data revolution. Technological advancements have facilitated the acquisition and measurement of many biological characteristics and regulation levels in cellular environments and diseases. Its potential can only keep on growing. However, the data revolution also poses numerous challenges in the area of data analysis.
The Bioinformatics Unit faces two of these challenges:
Despite a vast array of available interventions and medications, more than 1 million people die of chronic liver disease (cirrhosis) per year worldwide, when the disease progresses to decompensated cirrhosis and acute-on-chronic liver failure (ACLF), a state in which the dysfunctional liver induces failure of other organs.
Following an acute decompensation of cirrhosis, 14% of the patients die of ACLF within 3 months. The reason why certain patients die and others survive is unknown, but huge differences between patients with regard to their individual genetics, medical history, precipitating events, clinical presentation and treatment response are suspected.
These individual differences call for personalised treatments based on a precise understanding of underlying mechanisms. Systems medicine and high-throughput technology nowadays allow for highly efficient analysis, integration, and predictive modelling of clinical data to develop the best fitted, most personalised treatment for each patient.
Over the next 5.5 years, the DECISION research consortium will analyse and integrate data from already existing clinical data and biological samples from 2,200 patients with cirrhosis at more than 8,600 time points to identify novel combinatorial therapies, validate them in animal models, and then test the most promising combinatorial therapy in a clinical trial.
The overall aim of the DECISION project is to prevent ACLF and to significantly reduce the mortality rate amongst patients with decompensated cirrhosis. The project receives 6 million € funding from the European Commission.
The research has been conducted by PhD student Victoria Carr and co-led by Dr David Moyes, King´s College London and Dr David Gómez Cabrero, Navarrabiomed
The results have been published by Nature Communications journal
Dr David Gómez Cabrero, head of the Translational Bioinformatics Unit of Navarrabiomed, recently published with professionals at King's College London the results of an investigation that focuses on the characterization of antibiotic resistance within the oral cavity. The results of the study, carried out in 2017-2020, have recently been published in the journal Nature Communications and represent a significant advance in our understanding of antibiotic resistance and its relationship with the oral microbiome.
The generation of antibiotic resistance by certain microorganisms - including bacteria - is a global healthcare threat. To understand the process of antibiotic resistance acquisition, databases of the genes that drive this resistance have been generated (the profile of these genes is known as the “resistome”). Despite the high prevalence of microorganisms in the human oral cavity, until now, the study of the resistome in the mouth has been limited.
The research carried out at King's College London, and Navarrabiomed has thoroughly analyzed the oral resistome in 788 worldwide samples; furthermore, the oral resistome was also compared with the intestine resistome (derived from stool sample analysis). The combination of microbial DNA sequencing techniques and their bioinformatic analysis have allowed the identification of differences associated with the country of origin and their location within the oral cavity.
Specifically, differences in the prevalence of genes, classes and mechanisms of antibiotic resistance have been observed. For example, it has been shown that although there is a smaller range of different antibiotic resistance genes in the oral cavity, the prevalence of specific antibiotic resistance genes is higher than in the gut. Likewise, similarities in the resistome between saliva samples and faeces from the same individuals have been identified and shown to be less than similarities between the oral cavity of two separate individuals.
The study highlights the importance of characterizing the resistome in various regions of the human body to discover the potential for antibiotic resistance in each area and to what extent it affects the use of antibiotics in the clinical context.
Navarrabiomed - Centro de investigación biomédica
Complejo Hospitalario de Navarra, edificio de investigación.
Calle Irunlarrea, 3. 31008 Pamplona, Navarra, España.
The team do research mainly on highly sensitive sensor and technical platforms for thin-film and biological substance characterisation using metamaterials, metasurfaces and plasmonic structures. The characterisation is multispectral, that is, it covers the entire infrared spectrum, from the terahertz band or far infrared to the visible infrared, including mid infrared and near infrared.
Navarrabiomed - Centro de investigación biomédica
Complejo Hospitalario de Navarra, edificio de investigación.
Calle Irunlarrea, 3. 31008 Pamplona, Navarra, España.
The Algebra and Applications multidisciplinary research team is made up of mathematicians and telecommunications engineers. At present, their lines of research are centred on the development of theoretical methods for gathering information based on data from different sources. They develop techniques and algorithms that are used in fields such as biomedical data classification, medical decision making, and evaluation and classification of movements in people with motor disabilities or the elderly.
Lines of research:
Navarrabiomed - Centro de investigación biomédica
Complejo Hospitalario de Navarra, edificio de investigación.
Calle Irunlarrea, 3. 31008 Pamplona, Navarra, España.
The Artificial Intelligence and Approximate Reasoning Group (GIARA) was established in 2002 by Professor Humberto Bustince at the Public University of Navarra. Currently, GIARA is made of eighteen members (twelve holding doctoral degrees and five doctoral students).
GIARA is a multidisciplinary team (physicists, mathematicians, computer engineers and industrial engineers) with broad experience and a remarkable national and international impact. They conduct theoretical research in the areas of information fusion, fuzzy sets and extensions. In addition, they develop models and applications in the fields of data mining, big data and image processing.
Lines of research:
Navarrabiomed - Centro de investigación biomédica
Complejo Hospitalario de Navarra, edificio de investigación.
Calle Irunlarrea, 3. 31008 Pamplona, Navarra, España.