Evidence map›Paper›PMID 35986232›Full record

ReviewCellular & molecular biology letters2022

The current landscape of microRNAs (miRNAs) in bacterial pneumonia: opportunities and challenges.

Fan Zhang, Yunxin Zhou, Junying Ding

Open access · goldAbstract readReview
In one paragraph

Review in Cellular & molecular biology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Fan ZhangBeijing Key Laboratory of Basic Research With Traditional Chinese Medicine On Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Yunxin ZhouBeijing Key Laboratory of Basic Research With Traditional Chinese Medicine On Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Junying DingBeijing Key Laboratory of Basic Research With Traditional Chinese Medicine On Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China. 18211197728@163.com.ORCID http://orcid.org/0000-0003-1354-1343
Capital Medical University · CN

Funding

Beijing Construction Program for High-level Public Health of Technical Talents 2022-3-009Beijing Natural Science Foundation 7182071National Natural Science Foundation of China 81503399
6 · The paper itself

Abstract

MicroRNAs (miRNAs), which were initially discovered in Caenorhabditis elegans, can regulate gene expression by recognizing cognate sequences and interfering with the transcriptional or translational machinery. The application of bioinformatics tools for structural analysis and target prediction has largely driven the investigation of certain miRNAs. Notably, it has been found that certain miRNAs which are widely involved in the inflammatory response and immune regulation are closely associated with the occurrence, development, and outcome of bacterial pneumonia. It has been shown that certain miRNA techniques can be used to identify related targets and explore associated signal transduction pathways. This enhances the understanding of bacterial pneumonia, notably for "refractory" or drug-resistant bacterial pneumonia. Although these miRNA-based methods may provide a basis for the clinical diagnosis and treatment of this disease, they still face various challenges, such as low sensitivity, poor specificity, low silencing efficiency, off-target effects, and toxic reactions. The opportunities and challenges of these methods have been completely reviewed, notably in bacterial pneumonia. With the continuous improvement of the current technology, the miRNA-based methods may surmount the aforementioned limitations, providing promising support for the clinical diagnosis and treatment of "refractory" or drug-resistant bacterial pneumonia.

Indexed as

MicroRNAsPneumonia, BacterialAnimalsCaenorhabditis elegansComputational BiologyHumansMicroRNAsBacterial pneumoniaHost–pathogenmiRNAOff-target effectSensitivitySpecificity

Identifiers

PMID35986232
PMCPMC9392286
OpenAlexW4292348519

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.