Evidence map›Paper›PMID 32399134›Full record

ReviewWorld journal of stem cells2020

Overview of noncoding RNAs involved in the osteogenic differentiation of periodontal ligament stem cells.

Wei Qiu, Bu-Ling Wu, Fu-Chun Fang

Open access · greenAbstract readReview
In one paragraph

Review in World journal of stem cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Mechanisms during Osteogenic Differentiation in Human Dental Follicle Cells.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
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 2 institutions in 1 country.

Wei QiuDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
Bu-Ling WuDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
Fu-Chun FangDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China. fangfuchun520@163.com.
Southern Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal diseases are infectious diseases that are characterized by progressive damage to dental support tissue. The major goal of periodontal therapy is to regenerate the periodontium destroyed by periodontal diseases. Human periodontal ligament (PDL) tissue possesses periodontal regenerative properties, and periodontal ligament stem cells (PDLSCs) with the capacity for osteogenic differentiation show strong potential in clinical application for periodontium repair and regeneration. Noncoding RNAs (ncRNAs), which include a substantial portion of poly-A tail mature RNAs, are considered "transcriptional noise." Recent studies show that ncRNAs play a major role in PDLSC differentiation; therefore, exploring how ncRNAs participate in the osteogenic differentiation of PDLSCs may help to elucidate the underlying mechanism of the osteogenic differentiation of PDLSCs and further shed light on the potential of stem cell transplantation for periodontium regeneration. In this review paper, we discuss the history of PDLSC research and highlight the regulatory mechanism of ncRNAs in the osteogenic differentiation of PDLSCs.

Indexed as

Noncoding RNAsOsteogenic differentiationPeriodontal ligament stem cellsPeriodontal regeneration

Identifiers

PMID32399134
PMCPMC7202925
OpenAlexW3018565012

What OpenQuestion holds

Textmetadata
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.