Evidence map›Paper›PMID 37476628›Full record

ArticleDisease markers2023

Evaluation of lncRNA Expression Pattern and Potential Role in Heart Failure Pathology.

Xiatian Chen, Chengzhen Shi, Jinning Gao, Juan Carlos Cueva Jumbo, Yin Wang, Xin Li, Cheng Zhao, Hua Yu, Peifeng Li, Lynn Htet Htet Aung

Abstract read
In one paragraph

Article in Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Xiatian ChenInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-7651-1718
Chengzhen ShiJuxian People's Hospital, Rizhao, China.ORCID https://orcid.org/0009-0005-8389-4939
Jinning GaoInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0003-3687-7579
Juan Carlos Cueva JumboSchool of Preclinical Medicine, Nanobody Research Center, Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0009-0002-4551-6804
Yin WangInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0009-0001-5340-3482
Xin LiInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0009-0003-2425-5761
Cheng ZhaoInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-6347-5893
Hua YuThe Affiliated Cardiovascular Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-6224-4778
Peifeng LiInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-1353-2490
Lynn Htet Htet AungInstitute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-8853-0641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last few decades, the morbidity and mortality of heart failure (HF) have remained on an upward trend. Despite the advances in therapeutic and diagnostic measures, there are still many aspects requiring further research. This study is aimed at finding potential long noncoding RNAs (lncRNAs) that could aid with the diagnosis and treatment of HF. We performed RNA sequencing on the peripheral blood of healthy controls as well as HF patients. The expression of lncRNAs was validated by RT-qPCR. Bioinformatic analysis was performed to investigate the possible mechanism of differentially expressed lncRNAs and mRNAs. The diagnostic value of lncRNAs was analysed by ROC analysis. Finally, a total of 207 mRNAs and 422 lncRNAs were identified. GO and KEGG pathway analyses revealed that biological pathways such as immune response, regulation of cell membrane, and transcriptional regulatory process were associated with the pathological progress of HF. The lncRNA-mRNA coexpression network was conducted, and several mRNAs were identified as key potential pathological targets, while lncRNA CHST11, MIR29B2CHG, CR381653.1, and FP236383.2 presented a potential diagnostic value for HF. These findings provide novel insights for the underlying mechanisms and possible therapeutic targets for HF.

Indexed as

Heart FailureRNA, Long NoncodingComputational BiologyGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansRNA, MessengerRNA, Long NoncodingRNA, Messenger

Identifiers

PMID37476628
PMCPMC10356452

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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.