Evidence map›Paper›PMID 37514018›Full record

ReviewPharmaceutics2023

MicroRNAs-Based Theranostics against Anesthetic-Induced Neurotoxicity.

Roseleena Minz, Praveen Kumar Sharma, Arvind Negi, Kavindra Kumar Kesari

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Roseleena MinzDepartment of Life Sciences, Central University of Jharkhand, Brambe, Ranchi 853205, Jharkhand, India.ORCID 0000-0001-9549-0441
Praveen Kumar SharmaDepartment of Life Sciences, Central University of Jharkhand, Brambe, Ranchi 853205, Jharkhand, India.
Arvind NegiDepartment of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland.ORCID 0000-0002-0341-9291
Kavindra Kumar KesariDepartment of Applied Physics, School of Science, Aalto University, 02150 Espoo, Finland.ORCID 0000-0003-3622-9555
Aalto University · FICentral University of Jharkhand · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various clinical reports indicate prolonged exposure to general anesthetic-induced neurotoxicity (in vitro and in vivo). Behavior changes (memory and cognition) are compilations commonly cited with general anesthetics. The ability of miRNAs to modulate gene expression, thereby selectively altering cellular functions, remains one of the emerging techniques in the recent decade. Importantly, engineered miRNAs (which are of the two categories, i.e., agomir and antagomir) to an extent found to mitigate neurotoxicity. Utilizing pre-designed synthetic miRNA oligos would be an ideal analeptic approach for intervention based on indicative parameters. This review demonstrates engineered miRNA's potential as prophylactics and/or therapeutics minimizing the general anesthetics-induced neurotoxicity. Furthermore, we share our thoughts regarding the current challenges and feasibility of using miRNAs as therapeutic agents to counteract the adverse neurological effects. Moreover, we discuss the scientific status and updates on the novel neuro-miRNAs related to therapy against neurotoxicity induced by amyloid beta (Aβ) and Parkinson's disease (PD).

Indexed as

agomiranesthetic neurotoxicityantagomirmiRNAneurotoxicity

Identifiers

PMID37514018
PMCPMC10385075
OpenAlexW4382581965

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.