Evidence map›Paper›PMID 34840596›Full record

ArticleComputational and mathematical methods in medicine2021

Identification of miRNA Regulatory Networks and Candidate Markers for Fracture Healing in Mice.

Xianglu Li, Zhaohua Zhong, Enguang Ma, Xiaowei Wu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 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

4 authors at 1 institution in 1 country.

Xianglu LiDepartment of Cadre Ward, The Second Affiliated Hospital, Harbin Medical University, Harbin 150001, China.
Zhaohua ZhongDepartment of College of Basic Medicine, Harbin Medical University, Harbin 150001, China.
Enguang MaDepartment of Urinary Surgery, Harbin First Hospital, Harbin 150010, China.
Xiaowei WuDepartment of Cadre Ward, The Second Affiliated Hospital, Harbin Medical University, Harbin 150001, China.ORCID https://orcid.org/0000-0002-9149-0871
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to improve the understanding of the fracture healing process at the molecular levels, then to discover potential miRNA regulatory mechanisms and candidate markers.

methodsExpression profiles of mRNA and miRNA were obtained from the Gene Expression Omnibus database. We performed differential analysis, enrichment analysis, protein-protein interaction (PPI) network analysis. The miRNA-mRNA network analysis was also performed.

resultsWe identified 499 differentially expressed mRNAs (DEmRs) that were upregulated and 534 downregulated DEmRs during fracture healing. They were mainly enriched in collagen fibril organization and immune response. Using the PPI network, we screened 10 hub genes that were upregulated and 10 hub genes downregulated with the largest connectivity. We further constructed the miRNA regulatory network for hub genes and identified 13 differentially expressed miRNAs (DEmiRs) regulators. Cd19 and Col6a1 were identified as key candidate mRNAs with the largest fold change, and their DEmiR regulators were key candidate regulators.

conclusionCd19 and Col6a1 might serve as candidate markers for fracture healing in subsequent studies. Their expression is regulated by miRNAs and is involved in collagen fibril organization and immune responses.

Indexed as

AnimalsAntigens, CD19Collagen Type VIComputational BiologyDown-RegulationFracture HealingGene Expression ProfilingGene Regulatory NetworksGenetic MarkersMiceMicroRNAsProtein Interaction MapsRNA, MessengerUp-RegulationAntigens, CD19CD19 antigen, mouseCol6a1 protein, mouseCollagen Type VIGenetic MarkersMicroRNAsRNA, Messenger

Identifiers

PMID34840596
PMCPMC8611357
OpenAlexW3213270960

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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.