Umeå universitets logga

umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • 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.
Visa övriga samt affilieringar
2022 (Engelska)Ingår i: Pathophysiology, ISSN 0928-4680, E-ISSN 1873-149X, Vol. 29, nr 2, s. 143-157Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
MDPI, 2022. Vol. 29, nr 2, s. 143-157
Nyckelord [en]
biomarker, COPD, lung disease, miRNAs
Nationell ämneskategori
Lungmedicin och allergi
Identifikatorer
URN: urn:nbn:se:umu:diva-194409DOI: 10.3390/pathophysiology29020013ISI: 001026053300001Scopus ID: 2-s2.0-85128447816OAI: oai:DiVA.org:umu-194409DiVA, id: diva2:1656003
Tillgänglig från: 2022-05-04 Skapad: 2022-05-04 Senast uppdaterad: 2025-04-24Bibliografiskt granskad

Open Access i DiVA

fulltext(901 kB)185 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 901 kBChecksumma SHA-512
faacd6b2ddb96869aa69ab241e82b46f5527dd1f842465fc00b7ee34d45a4f6235544ec310ad004700f9970288b757b79b543c15a8ce1149f970843e8ed7da9d
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextScopus

Person

Esteva-Socias, Margalida

Sök vidare i DiVA

Av författaren/redaktören
Esteva-Socias, Margalida
Av organisationen
Wallenberg centrum för molekylär medicin vid Umeå universitet (WCMM)Institutionen för molekylärbiologi (Medicinska fakulteten)
I samma tidskrift
Pathophysiology
Lungmedicin och allergi

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 186 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 347 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf