Evidence map›Paper›PMID 34746233›Full record

ArticleFrontiers in molecular biosciences2021

The Potential Regulatory Mechanism of lncRNA 122K13.12 and lncRNA 326C3.7 in Ankylosing Spondylitis.

Jian-Xiong Wang, Feng-Yang Jing, Yue-Chen Xu, He-Xiang Zong, Yi-Ran Chu, Cong Wang, Ke-Ming Chen, Wan-Qiu Tong, Xi-le Wang, Sheng-Qian Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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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

10 authors at 2 institutions in 1 country.

Jian-Xiong WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Feng-Yang JingDepartment of Dental Implant Center, Key Laboratory of Oral Diseases Research of Anhui Province, Stomatologic Hospital and College, Anhui Medical University, Hefei, China.
Yue-Chen XuDepartment of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
He-Xiang ZongDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yi-Ran ChuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Cong WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ke-Ming ChenDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wan-Qiu TongDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xi-le WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Sheng-Qian XuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to analyze and construct a novel competing endogenous RNA (ceRNA) network in ankylosing spondylitis (AS) with bone bridge formation, lncRNA. Using RNA sequencing and bioinformatics, we analyzed expression profiles of long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs in whole blood cells from 5 AS patients and 3 healthy individuals. Next, we verified the expression levels of candidate lncRNAs in 97 samples using the ΔΔCt value of real-time quantitative polymerase chain reaction (qRT-PCR). We used multivariate logistic regression analysis to screen lncRNAs and clinical indicators for use in the prediction model. Both SPSS 24.0 and R software were used for data analysis and prediction model construction. The results showed that compared with the normal controls, 205 long noncoding RNAs (lncRNAs), 961 microRNAs (miRNAs), and 200 mRNAs (DEmRNAs) were differentially expressed in the AS patients. We identified lncRNA 122K13.12 and lncRNA 326C3.7 among 205 lncRNAs differentially expressed between AS patients and healthy humans. Then, we noted that 30 miRNAs and five mRNAs formed a ceRNA network together with these two lncRNAs. These ceRNA networks might regulate the tumor necrosis factor (TNF) signaling pathway in AS development. In addition, the expression level of lncRNA 122K13.12 and lncRNA 326C3.7 correlated with various structural damage indicators in AS. Specifically, the lncRNA 326C3.7 expression level was an independent risk factor in bone bridge formation [area under the ROC curve (AUC) = 0.739 (0.609-0.870) and

Indexed as

ankylosing spondylitisceRNA signal networklong noncoding RNAnomogramRNA sequencing

Identifiers

PMID34746233
PMCPMC8566704
OpenAlexW3208915063

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.