Evidence map›Paper›PMID 33686954›Full record

ArticleAging2021

Long non-coding RNAs

Lin Wang, Zilu Wen, Hui Ma, Liwei Wu, Hui Chen, Yijun Zhu, Liangfei Niu, Qihang Wu, Hongwei Li, Lei Shi and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2021. 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
0.8field-weighted citation impact, top 29% 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, 6 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

15 authors at 1 institution in 1 country.

Lin WangDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zilu WenDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hui MaDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Liwei WuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hui ChenDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yijun ZhuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Liangfei NiuDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qihang WuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hongwei LiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Lei ShiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Leilei LiDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Leiyi WanDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Jun WangDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Ka-Wing WongDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yanzheng SongDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Shanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate diagnosis of complete inactivation of tuberculosis lesions is still a challenge with respect to sputum-negative tuberculosis. RNA-sequencing was conducted to uncover potential lncRNA indicators of metabolic activity in tuberculosis lesions. Lung tissues with high metabolic activity and low metabolic activity demonstrated by fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography were collected from five sputum-negative tuberculosis patients for RNA-sequencing. Differentially-expressed mRNAs and lncRNAs were identified. Their correlations were evaluated to construct lncRNA-mRNA co-expression network, in which lncRNAs and mRNAs with high degrees were confirmed by quantitative real-time PCR using samples collected from 11 patients. Prediction efficiencies of lncRNA indicators were assessed by receiver operating characteristic curve analysis. Bioinformatics analysis was performed for potential lncRNAs. 386 mRNAs and 44 lncRNAs were identified to be differentially expressed. Differentially-expressed mRNAs in lncRNA-mRNA co-expression network were significantly associated with fibrillar collagen, platelet-derived growth factor binding, and leukocyte migration involved in inflammatory response. Seven mRNAs (

Indexed as

AdultBiomarkersFemaleHumansMalePositron Emission Tomography Computed TomographyRNA, Long NoncodingTuberculosis, PulmonaryYoung AdultBiomarkersRNA, Long NoncodinglncRNARNA-sequencingsputum-negative tuberculosis

Identifiers

PMID33686954
PMCPMC8034958
OpenAlexW3135753386

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.