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Titel: Characterization of micro-RNA in women with different ovarian reserve
VerfasserIn: Abu-Halima, Masood
Becker, Lea Simone
Ayesh, Basim M.
Baus, Simona Lucia
Hamza, Amer
Fischer, Ulrike
Hammadeh, Mohamad
Keller, Andreas
Meese, Eckart
Sprache: Englisch
Titel: Scientific Reports
Bandnummer: 11
Heft: 1
Verlag/Plattform: Scientific Reports
Erscheinungsjahr: 2021
Freie Schlagwörter: Genetics
Molecular biology
Molecular medicine
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Women undergoing infertility treatment are routinely subjected to one or more tests of ovarian reserve. Therefore, an adequate assessment of the ovarian reserve is necessary for the treatment. In this study, we aimed to characterize the potential role of microRNAs (miRNAs) as biomarkers for women with different ovarian reserves. A total of 159 women were recruited in the study and classified according to their anti-Müllerian hormone (AMH) level into three groups: (1) low ovarian reserve (LAMH, n = 39), (2) normal ovarian reserve (NAMH, n = 80), and (3) high ovarian reserve (HAMH, n = 40). SurePrint Human miRNA array screening and reverse transcription-quantitative PCR (RT-qPCR) were respectively employed to screen and validate the miRNA abundance level in the three tested groups. Compared with NAMH, the abundance level of 34 and 98 miRNAs was found to be significantly altered in LAMH and HAMH, respectively. The abundance level of miRNAs was further validated by RT-qPCR in both, the screening samples as well as in an independent set of validation samples. The abundance levels of the validated miRNAs were significantly correlated with the AMH level. The best AUC value for the prediction of the increase and decrease in the AMH level was obtained for the miR-100-5p and miR-21-5p, respectively. The level of miRNAs abundance correlates with the level of AMH, which may serve as a tool for identifying women with a different ovarian reserve and may help to lay the ground for the development of novel diagnostic approaches.
DOI der Erstveröffentlichung: 10.1038/s41598-021-92901-w
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-350254
hdl:20.500.11880/31980
http://dx.doi.org/10.22028/D291-35025
ISSN: 2045-2322
Datum des Eintrags: 23-Nov-2021
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Information
In Beziehung stehendes Objekt: https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-021-92901-w/MediaObjects/41598_2021_92901_MOESM1_ESM.docx
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Frauenheilkunde
M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
M - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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