ReviewFrontiers in neurology2018
MicroRNA Signature of Traumatic Brain Injury: From the Biomarker Discovery to the Point-of-Care.
Review in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses 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
52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Traumatic MicroRNAs: Deconvolving the Signal After Severe Traumatic Brain Injury.Cellular and molecular neurobiology · 2023Pooled it
- Neurofilament light chain level in traumatic brain injury: A system review and meta-analysis.Medicine · 2020Pooled it
- Biological Markers of Cognitive Impairments in Combat and Contact-Sport Athletes: A Systematic Review.Sports (Basel, Switzerland) · 2026Review
- Mitochondrial Dysfunction in Traumatic Brain Injury and Its Theranostic Implications.Biomolecules · 2026Review
- Integrated analysis of porcine brain microRNA profiles following pediatric diffuse traumatic brain injury.Acta neuropathologica communications · 2026Article
- Article
- Endoplasmic reticulum stress in skeletal muscle dysfunction of type 2 diabetes: mechanisms and therapeutic implications.Frontiers in endocrinology · 2026Review
- A Bioinformatic Study of Genetics Involved in Determining Mild Traumatic Brain Injury Severity and Recovery.Biomedicines · 2025Article
- Changes in peripheral blood and cognitive performance after nonconcussive head impacts in elite female soccer players.Communications medicine · 2025Article
- Tailored Anti-miR Decorated Covalent Organic Framework Enables Electrochemical Detection of Salivary miRNAs for Mild Traumatic Brain Injury.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- MiRNA Dysregulation in Brain Injury: AnCurrent neuropharmacology · 2025Article
- The impact of the let-7 family on the pathophysiological mechanisms of traumatic brain injury: a systematic review.Frontiers in neurology · 2025Review
- Neurotrauma-From Injury to Repair: Clinical Perspectives, Cellular Mechanisms and Promoting Regeneration of the Injured Brain and Spinal Cord.Biomedicines · 2024Review
- Early-Stage Application of Agomir-137 Promotes Locomotor Recovery in a Mouse Model of Motor Cortex Injury.International journal of molecular sciences · 2023Article
- Study on serum miR-185-5p in assessing the injury severity and prognosis of patients with traumatic brain injury.Journal of medical biochemistry · 2023Article
- The relationship between prognosis of patients with traumatic brain injury and microRNA biogenesis proteins.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2023Article
- Clinical Theragnostic Signature of Extracellular Vesicles in Traumatic Brain Injury (TBI).ACS chemical neuroscience · 2023Review
- Recent advances in the role of miRNAs in post-traumatic stress disorder and traumatic brain injury.Molecular psychiatry · 2023Review
- Refinement of saliva microRNA biomarkers for sports-related concussion.Journal of sport and health science · 2023Article
- Review on the Role of Salivary Biomarkers in the Diagnosis of Mild Traumatic Brain Injury and Post-Concussion Syndrome.Diagnostics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is a serious problem that causes high morbidity and mortality around the world. Currently, no reliable biomarkers are used to assess the severity and predict the recovery. Many protein biomarkers were extensively studied for diagnosis and prognosis of different TBI severities such as S-100β, glial fibrillary acidic protein (GFAP), neuron-specific enolase (NSE), neurofilament light chain (NFL), cleaved tau protein (C-tau), and ubiquitin C-terminal hydrolase-L1 (UCH-L1). However, none of these candidates is currently used in the clinical practice, due to relatively low sensitivity, for the diagnosis of mild TBI (mTBI) or mild to moderate TBI (MMTBI) patients who are clinically well and do not have a detectable intracranial pathology on the scans. MicroRNAs (miRNAs or miRs) are a class of small endogenous molecular regulators, which showed to be altered in different pathologies, including TBI and for this reason, their potential role in diagnosis, prognosis and therapeutic applications, is explored. Promising miRNAs such as miR-21, miR-16 or let-7i were identified as suitable candidate biomarkers for TBI and can differentiate mild from severe TBI. Also, they might represent new potential therapeutic targets. Identification of miRNA signature in tissue or biofluids, for several pathological conditions, is now possible thanks to the introduction of new high-throughput technologies such as microarray platform, Nanostring technologies or Next Generation Sequencing. This review has the aim to describe the role of microRNA in TBI and to explore the most commonly used techniques to identify microRNA profile. Understanding the strengths and limitations of the different methods can aid in the practical use of miRNA profiling for diverse clinical applications, including the development of a point-of-care device.
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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.