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1.
Pharmacol Ther ; 218: 107683, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-32961265

RESUMEN

Since the first descriptions of hepatocyte-released exosome-like vesicles in 2008, the number of publications describing Extracellular Vesicles (EVs) released by liver cells in the context of hepatic physiology and pathology has grown exponentially. This growing interest highlights both the importance that cell-to-cell communication has in the organization of multicellular organisms from a physiological point of view, as well as the opportunity that these circulating organelles offer in diagnostics and therapeutics. In the present review, we summarize systematically and comprehensively the myriad of works that appeared in the last decade and lighted the discussion about the best opportunities for using EVs in liver disease therapeutics.


Asunto(s)
Vesículas Extracelulares , Gastroenterología , Comunicación Celular , Sistemas de Liberación de Medicamentos , Exosomas , Vesículas Extracelulares/patología , Vesículas Extracelulares/fisiología , Humanos , Hepatopatías/tratamiento farmacológico
2.
Talanta ; 217: 121061, 2020 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-32498831

RESUMEN

A rapid highly sensitive genosensor has been developed for monitoring the presence of Legionella spp. in different water systems (domestic hot water, heating/cooling systems or cooling towers) in order to avoid its spreading from the source of contamination. The genosensor integrates a loop mediated isothermal amplification (LAMP) reaction with an electrochemical transduction signal, producing a very simple, rapid to perform and cost effective method, suitable for in situ analyses. This approach detects as low as 10 fg of Legionella nucleic acid, corresponding to only 2 number copies of the bacteria. The use of an electrochemical redox-active double stranded DNA (dsDNA) intercalating molecule, known as methylen blue (MB), allows the immediate electrochemical reading during the DNA polymerization. The sensor can obtain quantitative results in 20 min with a correlation between the electrochemical data and Legionella spp. copy number (at a logarithmic scale) of r = -0.97. In conclusion, a fast, easy to use, and accurate electrochemical genosensor, with high precision, sensitivity, and specificity has been developed for in situ detection of Legionella spp. enabling real time decision making and improving significantly the current detection methods for the prevention and screening of Legionella.


Asunto(s)
Técnicas Biosensibles , ADN Bacteriano/análisis , ADN Bacteriano/genética , Técnicas Electroquímicas , Legionella pneumophila/genética , Técnicas de Amplificación de Ácido Nucleico , Reacción en Cadena de la Polimerasa
3.
Cancers (Basel) ; 10(9)2018 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-30200467

RESUMEN

Low invasive tests with high sensitivity for colorectal cancer and advanced precancerous lesions will increase adherence rates, and improve clinical outcomes. We have performed an ultra-performance liquid chromatography/time-of-flight mass spectrometry (UPLC-(TOF) MS)-based metabolomics study to identify faecal biomarkers for the detection of patients with advanced neoplasia. A cohort of 80 patients with advanced neoplasia (40 advanced adenomas and 40 colorectal cancers) and 49 healthy subjects were analysed in the study. We evaluated the faecal levels of 105 metabolites including glycerolipids, glycerophospholipids, sterol lipids and sphingolipids. We found 18 metabolites that were significantly altered in patients with advanced neoplasia compared to controls. The combinations of seven metabolites including ChoE(18:1), ChoE(18:2), ChoE(20:4), PE(16:0/18:1), SM(d18:1/23:0), SM(42:3) and TG(54:1), discriminated advanced neoplasia patients from healthy controls. These seven metabolites were employed to construct a predictive model that provides an area under the curve (AUC) median value of 0.821. The inclusion of faecal haemoglobin concentration in the metabolomics signature improved the predictive model to an AUC of 0.885. In silico gene expression analysis of tumour tissue supports our results and puts the differentially expressed metabolites into biological context, showing that glycerolipids and sphingolipids metabolism and GPI-anchor biosynthesis pathways may play a role in tumour progression.

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