Miguel Hueso
Bellvitge University Hospital, Spain
- Orcid: 0000-0002-1824-9141
- Publications: N/A
- Citations: N/A
- Keywords: Dialysis, kidney,inflammation,genomics,nanotechnology, Artificial Intelligence
Short Bio
- Miguel Hueso is a nephrologist (MD) in the Dialysis Unit (Hospital Bellvitge), Ph.D. (UB, 2006), B.Sc. in Biochemistry (UB, 2011), member of the Research Group in Nephrology in IDIBELL (Institut d’Investigació Biomèdica de Bellvitge-IDIBELL) and of the Renal Research Network (RiCORs from ISCiii). He has wide experience in Genetics and Molecular Biology (3 years as Fundació Pi i Sunyer fellow, 1 year as Fundació Catalana de Trasplantament fellow and 3 year as post-doctoral Juan de la Cierva postdoctoral research grant). He received several awards including the MEDICAL AULA prize by the Spanish Society of Nephrology for the best research line of a young nephrologist, the Baxter 2018 award and the VIFOR 2021 award for his research in dialysis. He is member of the Royal Academy of Medicine. He was a visiting researcher at the Joan Carles Escolá and Noemí Rotllan Lab (Metabolic Bases of Cardiovascular Risk, at IIB Sant Pau). Regarding the quality indicators of scientific production, he has an H index of 18 (Scopus-18.10.2021), 77 articles published (61% in journal Q1 and 44% in D1), mainly on immunology and kidney diseases with a citation index of 1568 (Scopus). He is leading a lab devoted to immunomodulation and the study of the molecular mechanism of vascular injury in patients with CKD (ISCiii grants). Using experimental models of atherosclerosis, he identified some miRNAs involved in the regulation of the NF-kB pathway (Atherosclerosis 2016, Data Brief 2016). In renal patients, he studied some biomarkers of cardiovascular events (Clinica Chimica Act 2017, Data Brief 2017, Transplant Int 2018, Int J Mol Sci. 2020), the role of dialysis techniques in the activation of inflammation (Plos One 2016), and the impact of CKD on the outcome after cardiac surgery (Int J Mol Sci 2020). Currently, he focuses his interest on the role of lncRNAs as microRNA "sponges" (Int J Mol Sci 2018, Genes 2019), nanotechnology, and the application of Artificial Intelligence (AI) to Hemodialysis (Kidney Diseases 2018, 2019, 2020).
