TY  - JOUR
A1  - Keller, Andreas
A1  - Leidinger, Petra
A1  - Vogel, Britta
A1  - Backes, Christina
A1  - ElSharawy, Abdou
A1  - Galata, Valentina
A1  - Mueller, Sabine C.
A1  - Marquart, Sabine
A1  - Schrauder, Michael G.
A1  - Strick, Reiner
A1  - Bauer, Andrea
A1  - Wischhusen, Jörg
A1  - Beier, Markus
A1  - Kohlhaas, Jochen
A1  - Katus, Hugo A.
A1  - Hoheisel, Jörg
A1  - Franke, Andre
A1  - Meder, Benjamin
A1  - Meese, Eckart
T1  - miRNAs can be generally associated with human pathologies as exemplified for miR-144*
JF  - BMC MEDICINE
N2  - Background: miRNA profiles are promising biomarker candidates for a manifold of human pathologies, opening new avenues for diagnosis and prognosis. Beyond studies that describe miRNAs frequently as markers for specific traits, we asked whether a general pattern for miRNAs across many diseases exists. 
Methods: We evaluated genome-wide circulating profiles of 1,049 patients suffering from 19 different cancer and non-cancer diseases as well as unaffected controls. The results were validated on 319 individuals using qRT-PCR. 
Results: We discovered 34 miRNAs with strong disease association. Among those, we found substantially decreased levels of hsa-miR-144* and hsa-miR-20b with AUC of 0.751 ( 95% CI: 0.703-0.799), respectively. We also discovered a set of miRNAs, including hsa-miR-155*, as rather stable markers, offering reasonable control miRNAs for future studies. The strong downregulation of hsa-miR-144* and the less variable pattern of hsa-miR-155* has been validated in a cohort of 319 samples in three different centers. Here, breast cancer as an additional disease phenotype not included in the screening phase has been included as the 20th trait. 
Conclusions: Our study on 1,368 patients including 1,049 genome-wide miRNA profiles and 319 qRT-PCR validations further underscores the high potential of specific blood-borne miRNA patterns as molecular biomarkers. Importantly, we highlight 34 miRNAs that are generally dysregulated in human pathologies. Although these markers are not specific to certain diseases they may add to the diagnosis in combination with other markers, building a specific signature. Besides these dysregulated miRNAs, we propose a set of constant miRNAs that may be used as control markers.
KW  - peripheral blood
KW  - microna profiles
KW  - disease
KW  - signature
KW  - expression
KW  - miRNA
KW  - microarray
KW  - biomarker
KW  - bioinformatics
KW  - lung-cancer
KW  - multiple sclerosis
KW  - gene
KW  - serum
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114349
SN  - 1741-7015
VL  - 12
ER  - 
TY  - JOUR
A1  - Abu-Halima, Masood
A1  - Häusler, Sebastian
A1  - Backes, Christina
A1  - Fehlmann, Tobias
A1  - Staib, Claudia
A1  - Nestel, Sigrun
A1  - Nazarenko, Irina
A1  - Meese, Eckart
A1  - Keller, Andreas
T1  - Micro-ribonucleic acids and extracellular vesicles repertoire in the spent culture media is altered in women undergoing \(In\) \(Vitro\) Fertilization
JF  - Scientific Reports
N2  - MicroRNAs (miRNAs) are class of small RNA molecules with major impact on gene regulation. We analyzed the potential of miRNAs secreted from pre-implantation embryos into the embryonic culture media as biomarkers to predict successful pregnancy. Using microarray analysis, we profiled the miRNome of the 56 spent culture media (SCM) after embryos transfer and found a total of 621 miRNAs in the SCM. On average, we detected 163 miRNAs in SCM of samples with failed pregnancies, but only 149 SCM miRNAs of embryos leading to pregnancies. MiR-634 predicted an embryo transfer leading to a positive pregnancy with an accuracy of 71% and a sensitivity of 85%. Among the 621 miRNAs, 102 (16.4%) showed a differential expression between positive and negative outcome of pregnancy with miR-29c-3p as the most significantly differentially expressed miRNA. The number of extracellular vehicles was lower in SCM with positive outcomes (3.8 × 10\(^9\)/mL EVs), as compared to a negative outcome (7.35 × 10\(^9\)/mL EVs) possibly explaining the reduced number of miRNAs in the SCM associated with failed pregnancies. The analysis of the miRNome in the SCM of couples undergoing fertility treatment lays the ground towards development of biomarkers to predict successful pregnancy and towards understanding the role of embryonic miRNAs found in the SCM.
KW  - Medicine
KW  - miRNAs
KW  - Molecular biology
KW  - Non-coding RNAs
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173632
VL  - 7
ER  -