Disease Markers

Disease Markers / 2012 / Article

Open Access

Volume 32 |Article ID 873749 | https://doi.org/10.3233/DMA-2011-0882

Sonia Molina-Pinelo, Rocío Suárez, María Dolores Pastor, Ana Nogal, Eduardo Márquez-Martín, José Martín-Juan, Amancio Carnero, Luis Paz-Ares, "Association between the miRNA Signatures in Plasma and Bronchoalveolar Fluid in Respiratory Pathologies", Disease Markers, vol. 32, Article ID 873749, 10 pages, 2012. https://doi.org/10.3233/DMA-2011-0882

Association between the miRNA Signatures in Plasma and Bronchoalveolar Fluid in Respiratory Pathologies

Received15 Mar 2012
Accepted15 Mar 2012


The identification of new less invasive biomarkers is necessary to improve the detection and prognostic outcome of respiratory pathological processes. The measurement of miRNA expression through less invasive techniques such as plasma and serum have been suggested to analysis of several lung malignancies including lung cancer. These studies are assuming a common deregulated miRNA expression both in blood and lung tissue. The present study aimed to obtain miRNA representative signatures both in plasma and bronchoalveolar cell fraction that could serve as biomarker in respiratory diseases. Ten patients were evaluated to assess the expression levels of 381 miRNAs. We found that around 50% miRNAs were no detected in both plasma and bronchoalveolar cell fraction and only 20% of miRNAs showed similar expression in both samples. These results show a lack of association of miRNA signatures between plasma and bronchoalveolar cytology in the same patient. The profiles are not comparable; however, there is a similarity in the relative expression in a very small subset of miRNAs (miR-17, miR-19b, miR-195 and miR-20b) between both biological samples in all patients. This finding supports that the miRNAs profiles obtained from different biological samples have to be carefully validated to link with respiratory diseases.

Copyright © 2012 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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