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1.
PLoS Comput Biol ; 19(3): e1010920, 2023 03.
Artículo en Inglés | MEDLINE | ID: mdl-36877741

RESUMEN

We present a multiagent-based model that captures the interactions between different types of cells with their microenvironment, and enables the analysis of the emergent global behavior during tissue regeneration and tumor development. Using this model, we are able to reproduce the temporal dynamics of regular healthy cells and cancer cells, as well as the evolution of their three-dimensional spatial distributions. By tuning the system with the characteristics of the individual patients, our model reproduces a variety of spatial patterns of tissue regeneration and tumor growth, resembling those found in clinical imaging or biopsies. In order to calibrate and validate our model we study the process of liver regeneration after surgical hepatectomy in different degrees. In the clinical context, our model is able to predict the recurrence of a hepatocellular carcinoma after a 70% partial hepatectomy. The outcomes of our simulations are in agreement with experimental and clinical observations. By fitting the model parameters to specific patient factors, it might well become a useful platform for hypotheses testing in treatments protocols.


Asunto(s)
Carcinoma Hepatocelular , Neoplasias Hepáticas , Humanos , Regeneración Hepática , Hepatectomía , Modelos Biológicos , Recurrencia Local de Neoplasia , Microambiente Tumoral
2.
Langenbecks Arch Surg ; 408(1): 134, 2023 Mar 31.
Artículo en Inglés | MEDLINE | ID: mdl-37000331

RESUMEN

BACKGROUND: The gut microbiota, composed by several species of microorganisms, works to preserve the liver-gut homeostasis and plays an important role during digestion and absorption of nutrients, and in the immune response of the host. In this review, we analyzed the influence of microbiota in patients with cholangiocarcinoma (CCA) who were candidates for elective surgery. METHODS: A literature review was conducted to identify papers that provided empiric evidence to support that the altered microbiota composition (dysbiosis) is related also to CCA development. RESULTS: Bacteria such as Helicobacter pylori, Helicobacter hepaticus, and Opisthorchis viverrini increase the risk of CCA. The most abundant genera were Enterococcus, Streptococcus, Bacteroides, Klebsiella, and Pyramidobacter in CCA's biliary microbiota. Additionally, levels of Bacteroides, Geobacillus, Meiothermus, and Anoxybacillus genera were significantly higher. An enrichment of Bifidobacteriaceae, Enterobacteriaceae, and Enterococcaceae families has also been observed in CCA tumor tissue. Microbiota is related to postoperative outcomes in abdominal surgery. The combination of caloric restriction diets in liver cancer or CCA increases the effect of the chemotherapy treatment. CONCLUSION: The correct use of nutrition for microbiota modulation according to each patient's needs could be a therapeutic tool in combination with elective surgery and chemotherapy to diminish side effects and improve prognosis. Further investigations are needed to fully understand the mechanisms by which they are related.


Asunto(s)
Neoplasias de los Conductos Biliares , Colangiocarcinoma , Microbiota , Opistorquiasis , Humanos , Opistorquiasis/microbiología , Disbiosis , Colangiocarcinoma/cirugía , Colangiocarcinoma/patología , Conductos Biliares Intrahepáticos , Neoplasias de los Conductos Biliares/cirugía
3.
Rev Esp Enferm Dig ; 108(8): 450-6, 2016 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-27459032

RESUMEN

OBJECTIVE: To determine the accuracy of the acoustic radiation force impulse (ARFI) technique for the diagnosis of chronic pancreatitis. MATERIALS AND METHODS: We present an observational, single-center study that included patients with suspected chronic pancreatitis in the period between October 2012 and September 2015 who underwent endoscopic ultrasound (EUS) and were classified according to the standard and Rosemont criteria. The same group of patients was assessed by the ARFI technology using ACUSON S2000™ equipment with Virtual Touch™ Quantification software for the assessment of pancreatic stiffness by obtaining the shear wave velocity (SWV) in the head, body and tail of the pancreas. Data were analyzed using ANOVA and nonparametric correlation methods. Diagnostic accuracy was obtained by analyzing receiver operating characteristic (ROC) curve. RESULTS: A total of thirty-three patients were studied (45.5% women); mean age was 58.3 ± 11.8 years. Seventeen with a diagnosis of chronic pancreatitis and sixteen classified as normal according to standard criteria. A significant difference was detected between the means of SWV in pancreatic body of patients without (SWV: 1.27 m/s) and with chronic pancreatitis (SWV 1.57 m/s), p = 0.037. The area under the ROC curve was 71.3% (95% CI 0.532-0.895) and the accuracy of ARFI for diagnosing chronic pancreatitis was 69.7% for a SWV of 1.4 m/s in the pancreatic body. The SWV means in head (r = 0.421, p < 0.05) and body (r = 0.455, p < 0.05) of the pancreas showed a significant correlation with the number of EUS criteria for chronic pancreatitis. CONCLUSION: Quantification of pancreatic stiffness with ARFI elastography technique has proven to be useful for the non-invasive diagnosis of chronic pancreatitis.


Asunto(s)
Diagnóstico por Imagen de Elasticidad/métodos , Pancreatitis Crónica/diagnóstico por imagen , Estimulación Acústica , Adulto , Anciano , Anciano de 80 o más Años , Estudios Transversales , Endosonografía , Femenino , Humanos , Masculino , Persona de Mediana Edad , Páncreas/diagnóstico por imagen , Reproducibilidad de los Resultados
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