Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Hsa-Mir-320c, Hsa-Mir-200c-3p, and Hsa-Mir-449c-5p as Potential Specific miRNA Biomarkers of COPD: A Pilot Study
Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain.
Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain; Centro de Investigación Biomédica en Red in Respiratory Diseases (CIBERES), Madrid, Spain.
Chest Diseases Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain.
Show others and affiliations
2022 (English)In: Pathophysiology, ISSN 0928-4680, E-ISSN 1873-149X, Vol. 29, no 2, p. 143-157Article in journal (Refereed) Published
Abstract [en]

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease commonly induced by cigarette smoke. The expression of miRNAs can be altered in patients with COPD and could be used as a biomarker. We aimed to identify a panel of miRNAs in bron-choalveolar lavage (BAL) to differentiate COPD patients from smokers and non-smokers with normal lung function. Accordingly, forty-five subjects classified as COPD, smokers, and non-smokers (n = 15 per group) underwent clinical, functional characterization and bronchoscopy with BAL. The mean age of the studied population was 61.61 ± 12.95 years, BMI 25.72 ± 3.82 Kg/m2, FEV1/FVC 68.37 ± 12.00%, and FEV1 80.07 ± 23.63% predicted. According to microarray analysis, three miRNAs of the most upregulated were chosen: miR-320c, miR-200c-3p, and miR-449c-5p. These miRNAs were validated by qPCR and were shown to be differently expressed in COPD patients. ROC analysis showed that these three miRNAs together had an area under the curve of 0.89 in differentiating COPD from controls. Moreover, in silico analysis of candidate miRNAs by DIANA-miRPath showed potential involvement in the EGFR and Hippo pathways. These results suggest a specific 3-miRNA signature that could be potentially used as a biomarker to distinguish COPD patients from smokers and non-smoker subjects.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 29, no 2, p. 143-157
Keywords [en]
biomarker, COPD, lung disease, miRNAs
National Category
Respiratory Medicine and Allergy
Identifiers
URN: urn:nbn:se:umu:diva-194409DOI: 10.3390/pathophysiology29020013Scopus ID: 2-s2.0-85128447816OAI: oai:DiVA.org:umu-194409DiVA, id: diva2:1656003
Available from: 2022-05-04 Created: 2022-05-04 Last updated: 2024-03-22Bibliographically approved

Open Access in DiVA

fulltext(901 kB)136 downloads
File information
File name FULLTEXT01.pdfFile size 901 kBChecksum SHA-512
faacd6b2ddb96869aa69ab241e82b46f5527dd1f842465fc00b7ee34d45a4f6235544ec310ad004700f9970288b757b79b543c15a8ce1149f970843e8ed7da9d
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Esteva-Socias, Margalida

Search in DiVA

By author/editor
Esteva-Socias, Margalida
By organisation
Wallenberg Centre for Molecular Medicine at Umeå University (WCMM)Department of Molecular Biology (Faculty of Medicine)
In the same journal
Pathophysiology
Respiratory Medicine and Allergy

Search outside of DiVA

GoogleGoogle Scholar
Total: 137 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 203 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf