Evidence map›Paper›PMID 35690768›Full record

ArticleRespiratory research2022

Comprehensive identification of RNA transcripts and construction of RNA network in chronic obstructive pulmonary disease.

Pengcheng Liu, Yucong Wang, Ningning Zhang, Xiaomin Zhao, Renming Li, Yu Wang, Chen Chen, Dandan Wang, Xiaoming Zhang, Liang Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2022. 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
2.6field-weighted citation impact, top 9% 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, 28 citations in OpenAlex.

  1. Pooled it
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  14. Roles of noncoding RNAs in chronic obstructive pulmonary disease.Journal of translational internal medicine · 2023
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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

11 authors at 3 institutions in 1 country.

Pengcheng Liu *Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Yucong Wang *Department of Clinical Laboratory, The First Affiliated Hospital of USTC, The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230027, China.
Ningning ZhangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Xiaomin ZhaoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Renming LiDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Yu WangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Chen ChenDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Dandan WangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China.
Xiaoming ZhangSchool of Basic Medicine, Anhui Medical University, Hefei, 230601, China.
Liang ChenDepartment of Clinical Laboratory, The First Affiliated Hospital of USTC, The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230027, China. anqingcl@ustc.edu.cn.
Dahai ZhaoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Anhui Medical University, 678 Furong Road, Hefei, 230601, Anhui Province, China. zhaodahai@ahmu.edu.cn.
Anhui Medical University · CNSecond Hospital of Anhui Medical University · CNUniversity of Science and Technology of China · CN

Funding

Collaborative Chinese and Western Medicine Research Project for Major Difficult Diseases 2021zdynjb06Hefei Municipal Natural Science Foundation 2021037National Key R&D Program of China 2019YFA0802600Natural Science Research Project of Anhui Universities KJ2021A0204Natural Science Research Project of Anhui Universities KJ2021ZD0028Research Fund of Anhui Institute of Translational Medicine 2021zhyx-c67
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is one of the world's leading causes of death and a major chronic disease, highly prevalent in the aging population exposed to tobacco smoke and airborne pollutants, which calls for early and useful biomolecular predictors. Roles of noncoding RNAs in COPD have been proposed, however, not many studies have systematically investigated the crosstalk among various transcripts in this context. The construction of RNA functional networks such as lncRNA-mRNA, and circRNA-miRNA-mRNA interaction networks could therefore facilitate our understanding of RNA interactions in COPD. Here, we identified the expression of RNA transcripts in RNA sequencing from COPD patients, and the potential RNA networks were further constructed.

methodsAll fresh peripheral blood samples of three patients with COPD and three non-COPD patients were collected and examined for mRNA, miRNA, lncRNA, and circRNA expression followed by qRT-PCR validation. We also examined mRNA expression to enrich relevant biological pathways. lncRNA-mRNA coexpression network and circRNA-miRNA-mRNA network in COPD were constructed.

resultsIn this study, we have comprehensively identified and analyzed the differentially expressed mRNAs, lncRNAs, miRNAs, and circRNAs in peripheral blood of COPD patients with high-throughput RNA sequencing. 282 mRNAs, 146 lncRNAs, 85 miRNAs, and 81 circRNAs were differentially expressed. GSEA analysis showed that these differentially expressed RNAs correlate with several critical biological processes such as "ncRNA metabolic process", "ncRNA processing", "ribosome biogenesis", "rRNAs metabolic process", "tRNA metabolic process" and "tRNA processing", which might be participating in the progression of COPD. RT-qPCR with more clinical COPD samples was used for the validation of some differentially expressed RNAs, and the results were in high accordance with the RNA sequencing. Given the putative regulatory function of lncRNAs and circRNAs, we have constructed the co-expression network between lncRNA and mRNA. To demonstrate the potential interactions between circRNAs and miRNAs, we have also constructed a competing endogenous RNA (ceRNA) network of differential expression circRNA-miRNA-mRNA in COPD.

conclusionsIn this study, we have identified and analyzed the differentially expressed mRNAs, lncRNAs, miRNAs, and circRNAs, providing a systematic view of the differentially expressed RNA in the context of COPD. We have also constructed the lncRNA-mRNA co-expression network, and for the first time constructed the circRNA-miRNA-mRNA in COPD. This study reveals the RNA involvement and potential regulatory roles in COPD, and further uncovers the interactions among those RNAs, which will assist the pathological investigations of COPD and shed light on therapeutic targets exploration for COPD.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveRNA, Long NoncodingAgedGene Expression ProfilingGene Regulatory NetworksHumansRNA, CircularRNA, MessengerRNA, TransferMicroRNAsRNA, CircularRNA, Long NoncodingRNA, MessengerRNA, TransfercircRNACOPDlncRNAmiRNARNA network

Identifiers

PMID35690768
PMCPMC9188256
OpenAlexW4282928156

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.