Usage Information
Citation Information: JCI Insight. 2017;2(2):e89560. https://doi.org/10.1172/jci.insight.89560.
Abstract
Bladder outlet obstruction (BOO) induces significant organ remodeling, leading to lower urinary tract symptoms accompanied by urodynamic changes in bladder function. Here, we report mRNA and miRNA transcriptome sequencing of bladder samples from human patients with different urodynamically defined states of BOO. Patients’ miRNA and mRNA expression profiles correlated with urodynamic findings. Validation of RNA sequencing results in an independent patient cohort identified combinations of 3 mRNAs (NRXN3, BMP7, UPK1A) and 3 miRNAs (miR-103a-3p, miR-10a-5p, miR-199a-3p) sufficient to discriminate between bladder functional states. All BOO patients shared cytokine and immune response pathways, TGF-β and NO signaling pathways, and hypertrophic PI3K/AKT signaling pathways. AP-1 and NFkB were dominant transcription factors, and TNF-α was the top upstream regulator. Integrated miRNA-mRNA expression analysis identified pathways and molecules targeted by differentially expressed miRNAs. Molecular changes in BOO suggest an increasing involvement of miRNAs in the control of bladder function from the overactive to underactive/acontractile states.
Authors
Ali Hashemi Gheinani, Bernhard Kiss, Felix Moltzahn, Irene Keller, Rémy Bruggmann, Hubert Rehrauer, Catharine Aquino Fournier, Fiona C. Burkhard, Katia Monastyrskaya
Usage data is cumulative from February 2022 through February 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 565 | 138 |
| 90 | 29 | |
| Figure | 252 | 6 |
| Table | 80 | 0 |
| Supplemental data | 91 | 10 |
| Citation downloads | 28 | 0 |
| Totals | 1,106 | 183 |
| Total Views | 1,289 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
