ReviewJournal of toxicologic pathology2018
Circulating liver-specific microRNAs in cynomolgus monkeys.
Review in Journal of toxicologic pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 10 citations in OpenAlex.
- NamiRNA-Enhancer Network: The Changing Era Challenge and Chance of miRNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Differences in liver microRNA profiling in pigs with low and high feed efficiency.Journal of animal science and technology · 2022Article
- Tear miRNA expression analysis reveals miR-203 as a potential regulator of corneal epithelial cells.BMC ophthalmology · 2021Article
- miR‑9 depletion suppresses the proliferation of osteosarcoma cells by targeting p16.International journal of oncology · 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circulating microRNAs (miRNAs) can potentially be used as sensitive and specific biomarkers for tissue injury. However, the usefulness of circulating miRNAs as safety biomarkers in nonclinical toxicological studies using nonhuman primates is debatable owing to the limited information on organ-specific miRNAs. Therefore, a systematic investigation was performed to address this point. We identified organ-specific miRNAs from cynomolgus monkeys by next-generation sequencing analysis, which revealed that miR-122 was only abundant in the liver, whereas miR-192 was abundant in the liver, stomach, intestines, and kidney. The sequences of these miRNAs were identical to their human counterparts. Next, the absolute miR-122 and miR-192 levels were qualified by quantitative reverse transcription polymerase chain reaction (RT-qPCR) to determine the circulating levels of the miRNAs. No significant differences in the levels of circulating miRNAs between sexes were noted, and there was greater interindividual variation in miR-122 (20-fold variation) than in miR-192 (8-fold variation), based on their dynamic ranges. Finally, we evaluated the fluctuation in circulating liver-specific miRNAs in a monkey model of acetaminophen-induced hepatotoxicity. Acetaminophen with L-buthionine-(S,R)-sulfoximine induced hepatotoxicity in all the animals, which was characterized histopathologically by centrilobular necrosis and vacuolation of hepatocytes. Circulating miR-122 and miR-192 levels increased more than ALT levels after 24 h, indicating that circulating miR-122 and miR-192 may serve as sensitive biomarkers for the detection of hepatotoxicity in cynomolgus monkeys. This review describes the fundamental profiles of circulating liver-specific miRNAs in cynomolgus monkeys and focusses on their organ specificity, circulating levels, and fluctuations in drug-induced hepatotoxicity.
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.