Examinando por Autor "Riado, Daniel"

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    Near infrared spectroscopy (NIRS) and machine learning as a promising tandem for fast viral detection in serum microsamples: A preclinical proof of concept
    (Elsevier, 2024) Gomez, Jose; Barquero-Pérez, Oscar; Gonzalo, Jennifer; Salgüero, Sergio; Riado, Daniel; Casas, Maria Luisa; Gutíerrez, Maria Luisa; Jaime, Elena; Pérez-Martínez, Enrique; García-Carretero, Rafael; Ramos, Javier; Fernández-Rodriguez, Conrado; Catalá, Myriam
    Fast detection of viral infections is a key factor in the strategy for the prevention of epidemics expansion and follow-up. Hepatitis C is paradigmatic within viral infectious diseases and major challenges to elimination still remain. Near infrared spectroscopy (NIRS) is an inexpensive, clean, safe method for quickly detecting viral infection in transmission vectors, aiding epidemic prevention. Our objective is to evaluate the combined potential of machine learning and NIRS global molecular fingerprint (GMF) from biobank sera as an efficient method for HCV activity discrimination in serum. GMF of 151 serum biobank microsamples from hepatitis C patients were obtained with a FT-NIR spectrophotometer in reflectance mode. Multiple scatter correction, smoothing and Saviztsky-Golay second derivative were applied. Spectral analysis included Principal Component Analysis (PCA), Bootstrap and L1-penalized classification. Microsamples of 70 μl were sufficient for GMF acquisition. Bootstrap evidenced significant difference between HCV PCR positive and negative sera. PCA renders a neat discrimination between HCV PCR-positive and negative samples. PCA loadings together with L1-penalized classification allow the identification of discriminative bands. Active virus positive sera are associated to free molecular water, whereas water in solvation shells is associated to HCV negative samples. Divergences in the water matrix structure and the lipidome between HCV negative and positive sera, as well as the relevance of prooxidants and glucose metabolism are reported as potential biomarkers of viral activity. Our proof of concept demonstrates that NIRS GMF of hepatitis C patients’ sera aided by machine learning allows for efficient discrimination of viral presence and simultaneous potential biomarker identification.
  • Miniatura
    Ítem
    The overlap with metabolic dysfunction-associated steatotic liver disease negatively affects outcomes of primary biliary cholangitis
    (Wiley, 2024-06-25) Hernández-Pérez, María; Riado, Daniel; Pena, Eva; Méndez, Carmen; Pinedo, Fernando; Ramos, Paloma; Castillo, Pilar; Romero, Miriam; Fernández-Rodríguez, Conrado; Olveira, Antonio
    Background and Aims: The relationship between primary biliary cholangitis (PBC)and metabolic dysfunction-associated steatotic liver disease, and its impact on treat-ment response and prognosis, remains underexplored.Methods: Patient cohort from two centres comprising long-term follow-up data.All patients had histologically confirmed PBC. Biopsies were classified according toNon-Alcoholic Steatohepatitis Clinical Research Network. Diagnosis of metabolicdysfunction-associated steatotic liver disease was established when steatosis ex-ceeded 5%, along with at least one metabolic risk factor. Patients with specific aetiol-ogies of steatosis, other liver diseases, incomplete results and inadequate treatmentwith ursodeoxycholic acid were excluded. Data from patients initiating second-linetreatment were censored. Treatment response was assessed using the Toronto, ParisII and AST-to-platelet at 12-month criteria. The UK PBC and Globe scores, and liverevents were utilized as outcome measures.Results: The study included 129 patients, 36 showing histologically confirmed over-lap between PBC and steatosis. Patients with overlap showed worse prognosis ac-cording to Paris II (61.1% vs. 33.3%, p = 0.004), Toronto (52.5% vs. 24.7%, p = 0.002),AST-to-platelet 12-month >0.54 (36.1% vs. 17.2%, p = 0.021), Globe >0.30 (49.2% vs.29.2%, p = 0.033) and UK PBC at 5, 10 and 15 years (p ≤ 0.001). Liver-related mortalityand liver transplant were more prevalent in the overlap group (p = 0.001). In the mul-tivariate analysis, steatosis, dyslipidaemia and advanced fibrosis were independentlyassociated to worse outcomes.Conclusions: Our findings suggest that metabolic dysfunction-associated steatoticliver disease worsens the prognosis of PBC