Evidence map›Paper›PMID 33168013›Full record

ArticleJournal of translational medicine2020

Investigation of circulating lncRNAs as potential biomarkers in chronic respiratory diseases.

Zsófia Gál, András Gézsi, Ágnes F Semsei, Adrienne Nagy, Monika Sultész, Zsuzsanna Csoma, Lilla Tamási, Gabriella Gálffy, Csaba Szalai

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Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  10. LncRNAs ENST00000499459 and TCONS_00004989 enhance asthma progression in children with house dust mite-induced allergic asthma.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2022
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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

9 authors at 3 institutions in 1 country.

Zsófia GálDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
András GézsiDepartment of Measurements and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary.
Ágnes F SemseiDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Adrienne NagyHeim Pál Children's Hospital, Budapest, Hungary.
Monika SultészHeim Pál Children's Hospital, Budapest, Hungary.
Zsuzsanna CsomaNational Korányi Institute of TB and Pulmonology, Budapest, Hungary.
Lilla TamásiDepartment of Pulmonology, Semmelweis University, Budapest, Hungary.
Gabriella GálffyPulmonology Hospital, Törökbálint, Hungary.
Csaba SzalaiDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary. szalai.csaba@med.semmelweis-univ.hu.ORCID 0000-0001-6562-0778
Semmelweis University · HUHeim Pál Országos Gyermekgyógyászati Intézet · HUOrszágos Korányi Tbc és Pulmonológiai Intézet · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the present study the blood expression level of inflammatory response and autoimmunity associated long non-coding RNAs (lncRNAs) were compared in patients with different chronic respiratory diseases and investigated whether they could be used as biomarkers in these diseases.

methodsIn the discovery cohort, the gene expression level of 84 lncRNAs were measured in the blood of 24 adult patients including healthy controls and patients with asthma and COPD. In the replication cohort the expression of 6 selected lncRNAs were measured in 163 subjects including healthy controls and adults with allergic rhinitis, asthma, COPD and children with asthma. It was evaluated whether these lncRNAs can be used as diagnostic biomarkers for any studied disease. With systems biology analysis the biological functions of the selected lncRNAs were predicted.

resultsIn the discovery cohort, the mean expression of 27 lncRNAs showed nominally significant differences in at least one comparison. OIP5-AS1, HNRNPU, RP11-325K4.3, JPX, RP11-282O18.3, MZF1-AS1 were selected for measurement in the replication cohort. Three lncRNAs (HNRNPU, RP11-325K4.3, JPX) expressed significantly higher in healthy children than in adult controls. All the mean expression level of the 6 lncRNAs differed significantly between adult allergic rhinitis patients and controls. RP11-325K4.3, HNRNPU and OIP5-AS1 expressed higher in allergic asthma than in non-allergic asthma. COPD and asthma differed in the expression of RP11-325K4.3 from each other. In examining of the lncRNAs as biomarkers the weighted accuracy (WA) values were especially high in the comparison of healthy controls and patients with allergic rhinitis. OIP5-AS1 and JPX achieved 0.98 and 0.9 WA values, respectively, and the combination of the selected lncRNAs also resulted in a high performance (WA = 0.98). Altogether, OIP5-AS1 had the highest discriminative power in case of three out of six comparisons.

conclusionDifferences were detected in the expression of circulating lncRNAs in chronic respiratory diseases. Some of these differences might be utilized as biomarkers and also suggest a possible role of these lncRNAs in the pathomechanism of these diseases. The lncRNAs and the associated pathways are potential therapeutic targets in these diseases, but naturally additional studies are needed for the confirmation of these results.

Indexed as

RNA, Long NoncodingAdultAsthmaBiomarkersChildHumansPulmonary Disease, Chronic ObstructiveRhinitis, AllergicBiomarkersRNA, Long NoncodingAllergic rhinitisAsthmaBiomarkerCOPDJPXlncRNAOIP5-AS1

Identifiers

PMID33168013
PMCPMC7653503
OpenAlexW3102288720

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.