ArticleFrontiers in physiology2017
A Signature of Circulating microRNAs Predicts the Susceptibility of Acute Mountain Sickness.
Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed, 33 citations in OpenAlex.
- Biomarkers and potential subtypes of acute mountain sickness: A state-of-the-science review.Redox biology · 2026Review
- Exercise training-induced extracellular miR-136-3p modulates glucose uptake and myogenesis through targeting of NRDC in human skeletal muscle.Journal of sport and health science · 2025Article
- DNA methylation in adaptation to high-altitude environments and pathogenesis of related diseases.Human genomics · 2025Review
- Physiological and molecular mechanisms of tolerance to hypoxia and oxygen deficiency resistance markers.Frontiers in molecular biosciences · 2025Review
- Dysregulation of metabolites and high-altitude illnesses development under plateau conditions.Frontiers in physiology · 2025Review
- Review
- Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications.Frontiers in physiology · 2024Review
- Establishing a prediction model of severe acute mountain sickness using machine learning of support vector machine recursive feature elimination.Scientific reports · 2023Article
- AZU1 (HBP/CAP37) and PRKCG (PKC-gamma) may be candidate genes affecting the severity of acute mountain sickness.BMC medical genomics · 2023Article
- The role of hypoxia related hormones responses in acute mountain sickness susceptibility individuals unaccustomed to high altitude.PloS one · 2023Article
- Serum vascular endothelial growth factor is a potential biomarker for acute mountain sickness.Frontiers in physiology · 2023Article
- Potential plasma biomarkers at low altitude for prediction of acute mountain sickness.Frontiers in immunology · 2023Article
- HAHmiR.DB: a server platform for high-altitude human miRNA-gene coregulatory networks and associated regulatory circuits.Database : the journal of biological databases and curation · 2020Article
- The Role of Salivary miR-134-3p and miR-15b-5p as Potential Non-invasive Predictors for Not Developing Acute Mountain Sickness.Frontiers in physiology · 2019Article
- Different Erythrocyte MicroRNA Profiles in Low- and High-Altitude Individuals.Frontiers in physiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.