ArticleMedicine2017
RNA sequencing uncovers the key microRNAs potentially contributing to sudden sensorineural hearing loss.
Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Pooled it
- Differential expression of miR-23a-3p/-210-3p and /-18b-5p in sudden sensorineural hearing loss patients: A North American cohort study.Scientific reports · 2025Article
- Mesenchymal stem cell-derived exosomes ameliorate gentamicin-induced vestibular hair cell injury by regulating the SNARE pathway and enhancing autophagy.Stem cell research & therapy · 2025Article
- Acquired sensorineural hearing loss, oxidative stress, and microRNAs.Neural regeneration research · 2025Article
- Serum and Plasma miRNA Expression Levels in Sudden Sensorineural Hearing Loss.International journal of molecular sciences · 2025Article
- Safety profile of complement C5 inhibitors and FcRn inhibitors in the treatment of myasthenia gravis: analysis of the FAERS database and disease-gene interaction network.Frontiers in immunology · 2025Article
- MicroRNAs as potential biomarkers for monitoring of acquired sensorineural hearing loss.Pediatric discovery · 2024Review
- The Expression Levels of MicroRNAs Differentially Expressed in Sudden Sensorineural Hearing Loss Patients' Serum Are Unchanged for up to 12 Months after Hearing Loss Onset.International journal of molecular sciences · 2023Article
- Differentially expressed miRNA profiles of serum-derived exosomes in patients with sudden sensorineural hearing loss.Frontiers in neurology · 2023Article
- NcRNA: key and potential in hearing loss.Frontiers in neuroscience · 2023Review
- Integrating pharmacogenomics into clinical trials of hearing disorders.The Journal of the Acoustical Society of America · 2022Article
- MiR-106a facilitates the sensorineural hearing loss induced by oxidative stress by targeting connexin-43.Bioengineered · 2022Article
- The role of hypoxia-associated miRNAs in acquired sensorineural hearing loss.Frontiers in cellular neuroscience · 2022Review
- Isolation of sensory hair cell specific exosomes in human perilymph.Neuroscience letters · 2021Observational
- MicroRNA Profiling as a Methodology to Diagnose Ménière's Disease: Potential Application of Machine Learning.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2021Article
- Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.Medicine · 2020Article
- Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify miRNAs that may contribute to the pathogenesis of sudden sensorineural hearing loss (SSNHL) by RNA-seq (RNA-sequencing).RNA was extracted from SSNHL patients and healthy volunteers, respectively. Sequencing was performed on HiSeq4000 platform. After filtering, clean reads were mapped to the human reference genome hg19. Differential expression analysis of miRNAs between the SSNHL samples and the normal samples was performed using DEseq to identify differentially expressed microRNAs (DEMs). The target genes of the DEMs were predicted using the online tool miRWalk, which were then mapped to DAVID (https://david.ncifcrf.gov/) for functional annotation based on GO database and for pathway enrichment analysis based on KEGG. Finally, a miRNA-target-protein-protein interaction (PPIs) network was constructed using the DEMs and their target genes with interaction.Differential expression analysis reveals 24 DEMs between the SSNHL group and control group. A total of 1083 target genes were predicted. GO functional annotation analysis reveals that the target genes in the top 10 terms are mainly related to the development of salivary glands, neurotransmission, dendritic development, and other processes. KEGG pathway enrichment analysis reveals that the target genes were functionally enriched in pathways arachidonic acid metabolism, complement and coagulation cascades, linoleic acid metabolism, and MAPK signaling pathway. In the miRNA-target-PPI network, hsa-miR-34a/548n/15a/143/23a/210/1255a/18b/ /1180/99b had the most target genes; genes YWHAG, GSK3B, CDC42, NR3C1, LCK, UNC119, SIN3A, and NFKB2, interact with most other genes among all the predicted target genes.Hsa-miR-34a/15a/23a/210/18b/548n/143 is likely to have a role in the pathogenesis of SSNHL.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.