Analytical Validation of a Novel MicroRNA Panel for Risk Stratification of Cognitive Impairment.
Analytical Validation of a Novel MicroRNA Panel for Risk Stratification of Cognitive Impairment.
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对认知障碍风险分层的新型microRNA面板的分析验证。
DOI:
10.3390/diagnostics13132170
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发表时间:
2023-06-26
期刊:
影响因子:
3.6
通讯作者:
Kumar, Gyanendra
中科院分区:
文献类型:
--
作者:
Kunwar, Arzu;Ablordeppey, Kenny Kwabena;Mireskandari, Alidad;Sheinerman, Kira;Kiefer, Michael;Umansky, Samuil;Kumar, Gyanendra
关键词:
We have been developing a novel approach to identify cognitive impairment-related biomarkers by profiling brain-enriched and inflammation-associated microRNA (miRNA) in plasma specimens of cognitively unimpaired and cognitively impaired patients. Here, we present an analytical validation of the novel miRNA panel, CogniMIR®, using two competing quantitative PCR technologies for the expression analysis of 24 target miRNAs. Total RNA from the plasma specimens was isolated using the MagMAX mirVana Kit, and RT-qPCR was performed using stem-loop-based TaqMan and LNA-based qPCR assays. Evaluation of RNA dilution series for our target 24 miRNAs, performed by two operators on two different days, demonstrated that all CogniMIR® panel miRNAs can be reliably and consistently detected by both qPCR technologies, with sample input as low as 20 copies in a qPCR reaction. Intra-run and inter-run repeatability and reproducibility analyses using RNA specimens demonstrated that both operators generated repeatable and consistent Cts, with R2 values of 0.94 to 0.99 and 0.96 to 0.97, respectively. The study results clearly indicate the suitability of miRNA profiling of plasma specimens using either of the qPCR technologies. However, the LNA-based qPCR technology appears to be more operationally friendly and better suited for a CAP/CLIA-certified clinical laboratory.
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影响因子:
6.8
作者:
Wingo AP;Wang M;Liu J;Breen MS;Yang HS;Tang B;Schneider JA;Seyfried NT;Lah JJ;Levey AI;Bennett DA;Jin P;De Jager PL;Wingo TS
通讯作者:
Wingo TS
影响因子:
3.7
作者:
Cho WC
通讯作者:
Cho WC
影响因子:
4.3
作者:
Zhao Y;Jaber V;Alexandrov PN;Vergallo A;Lista S;Hampel H;Lukiw WJ
通讯作者:
Lukiw WJ
影响因子:
5.3
作者:
Sheinerman KS;Umansky SR
通讯作者:
Umansky SR
DOI:
10.1073/pnas.0804549105
发表时间:
2008-07-29
影响因子:
11.1
作者:
Mitchell, Patrick S.;Parkin, Rachael K.;Tewari, Muneesh
通讯作者:
Tewari, Muneesh