Altered Expression of MicroRNA-15a and Kruppel-Like Factor 4 in Cerebrospinal Fluid and Plasma After Aneurysmal Subarachnoid Hemorrhage

Kikkawa, Yuichiro; Ogura, Takeshi; Nakajima, Hiroyuki; Ikeda, Toshiki; Takeda, Ririko; Neki, Hiroaki; Kohyama, Shinya; Yamane, Fumitaka; Kurogi, Ryota; Amano, Toshiyuki; Nakamizo, Akira; Mizoguchi, Masahiro; Kurita, Hiroki

doi:10.1016/j.wneu.2017.09.008

Cited by 18 publications

(19 citation statements)

References 37 publications

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“…We predicted 164 miRNAs targeting KLF4 using the ENCORI database ( http://starbase.sysu.edu.cn/ ). Among them, 8 KLF4-binding miRNAs were verified in previous studies: hsa-miR-346 [ 21 ], hsa-miR-140-3p [ 22 ], hsa-miR-18a [ 23 ], hsa-miR-15a [ 24 ], hsa-miR-103a [ 25 ], hsa-miR-7 [ 26 ], hsa-miR-135 [ 27 ], and hsa-miR-29a [ 28 ]. Furthermore, targeted miRNAs of downregulated lncRNAs were predicted using the InCeDb database ( http://gyanxet-beta.com/lncedb/ ).…”

Section: Methodsmentioning

confidence: 85%

Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 15 (SNHG15) Alleviates Osteoarthritis Progression by Regulation of Extracellular Matrix Homeostasis

Chen

Guo

et al. 2020

Med Sci Monit

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Background Growing evidence suggests that long non-coding RNAs (lncRNAs), as decoys of microRNAs (miRNAs), are involved in osteoarthritis (OA) progression, but the potential mechanism of lncRNA SNHG15 in OA remains unknown. Thus, the present study explored the molecular mechanism of SNHG15 in OA progression. Material/Methods OA chondrocytes were created by 20 ng/ml IL-1β stimulation, and the experimental OA model was created by destabilization of the medial meniscus (DMM) surgery. Cartilage histomorphology was observed by safranin and fast green double dyeing. The relationships between SNHG15 and miR-7, KLF4, and miR-7 were determined by dual-luciferase assay or RNA immunoprecipitation (RIP). Immunofluorescence was used to detect the expressions of Ki67, collagen II, and Aggrecan. Moreover, SNHG15, miR-7, KLF4, MMP3, ADAMTS5, COL2A1, Aggrecan, and β-catenin expressions were assessed by qRT-PCR or Western blot. The methylation status of SNHG15 promoter was evaluated by MS-PCR. Results Underexpression of KLF4 and SHNG15 and overexpression of miR-7 were found in human OA knee cartilage tissues and IL-1β-stimulated OA chondrocytes. SHNG15 overexpression significantly inhibited ECM degradation and promoted chondrocyte formation of OA chondrocytes. Furthermore, SNHG15 regulated KLF4 expression by sponging miR-7. Further analysis found that SNHG15 significantly inhibited β-catenin in OA chondrocytes. SNHG15 had a higher level of methylation in human OA tissues than in normal cartilage tissues. Conclusions Our results revealed that SNHG15 alleviated OA progression by regulating ECM homeostasis, which provides a promising target for OA therapy.

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Section: Methodsmentioning

confidence: 85%

Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 15 (SNHG15) Alleviates Osteoarthritis Progression by Regulation of Extracellular Matrix Homeostasis

Chen

Guo

et al. 2020

Med Sci Monit

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“…miRNAs have been reported to play key roles in the regulation of molecular processes after stroke [29][30][31][32] . The present study displays the complex relationship between miRNAs and stroke ( Fig.…”

Section: Introductionmentioning

confidence: 99%

The Roles of MicroRNAs in Stroke: Possible Therapeutic Targets

Gao

Zheng

et al. 2018

Cell Transplant

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Stroke is one of the most devastating diseases worldwide. In recent years, a great number of studies have focused on the effects of microRNAs (miRNAs) on stroke and the results demonstrated that the expressions of miRNAs are associated with the prognosis of stroke. In the present study, we review relevant articles regarding miRNAs and stroke and will explain the complex link between both. The miRNAs participate extensively in the pathophysiology following the stroke, including apoptosis, neuroinflammation, oxidative stress, blood-brain barrier (BBB) disruption and brain edema. The information about the stroke-miRNA system may be helpful for therapeutic and diagnostic methods in stroke treatment.

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“…The potential of miRNAs serving as biomarkers for aSAH complications was recently explored in several reports (Su et al, 2015;Powers et al, 2016;Bache et al, 2017;Kikkawa et al, 2017;Lu et al, 2017;Stylli et al, 2017;Lopes et al, 2018; -Nicolas et al, 2018;Sheng et al, 2018a). These studies confirmed that dysregulated miRNA expression is associated with aSAH and its acute complications, which could be observed in extracellular fluids.…”

Section: Discussionmentioning

confidence: 75%

“…This is due, in part, to significant variability across studies, including differences in sampling size (4-129 cases), type of biofluid used (whole blood, CSF, serum, plasma), collection time points (1-14 days), as well as miRNA analysis methodologies. Several studies utilized time-consuming and costly analytical methodologies such as next-generation sequencing and microarray (Su et al, 2015;Kikkawa et al, 2017;Pulcrano-Nicolas et al, 2018) that, while informative, may limit clinical applications.…”

Section: Discussionmentioning

confidence: 99%

A Highly Predictive MicroRNA Panel for Determining Delayed Cerebral Vasospasm Risk Following Aneurysmal Subarachnoid Hemorrhage

Wang

Springer

Xie

et al. 2021

Front. Mol. Biosci.

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Approximately one-third of aneurysmal subarachnoid hemorrhage (aSAH) patients develop delayed cerebral vasospasm (DCV) 3–10 days after aneurysm rupture resulting in additional, permanent neurologic disability. Currently, no validated biomarker is available to determine the risk of DCV in aSAH patients. MicroRNAs (miRNAs) have been implicated in virtually all human diseases, including aSAH, and are found in extracellular biofluids including plasma and cerebrospinal fluid (CSF). We used a custom designed TaqMan Low Density Array miRNA panel to examine the levels of 47 selected brain and vasculature injury related miRNAs in CSF and plasma specimens collected from 31 patients with or without DCV at 3 and 7 days after aSAH, as well as from eight healthy controls. The analysis of the first 18-patient cohort revealed a striking differential expression pattern of the selected miRNAs in CSF and plasma of aSAH patients with DCV from those without DCV. Importantly, this differential expression was observed at the early time point (3 days after aSAH), before DCV event occurs. Seven miRNAs were identified as reliable DCV risk predictors along with a prediction model constructed based on an array of additional 19 miRNAs on the panel. These chosen miRNAs were then used to predict the risk of DCV in a separate, testing cohort of 15 patients. The accuracy of DCV risk prediction in the testing cohort reached 87%. The study demonstrates that our novel designed miRNA panel is an effective predictor of DCV risk and has strong applications in clinical management of aSAH patients.

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Altered Expression of MicroRNA-15a and Kruppel-Like Factor 4 in Cerebrospinal Fluid and Plasma After Aneurysmal Subarachnoid Hemorrhage

Cited by 18 publications

References 37 publications

Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 15 (SNHG15) Alleviates Osteoarthritis Progression by Regulation of Extracellular Matrix Homeostasis

Long Non-Coding RNA (lncRNA) Small Nucleolar RNA Host Gene 15 (SNHG15) Alleviates Osteoarthritis Progression by Regulation of Extracellular Matrix Homeostasis

The Roles of MicroRNAs in Stroke: Possible Therapeutic Targets

A Highly Predictive MicroRNA Panel for Determining Delayed Cerebral Vasospasm Risk Following Aneurysmal Subarachnoid Hemorrhage

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