Evidence map›Paper›PMID 41036882›Full record

ArticleArquivos brasileiros de cardiologia2025

Transcriptome High-Throughput Sequencing Analysis of lncRNA and mRNA Expression in Patients with Coronary Slow Flow.

Haibing Jiang, Yi Yang, Xueqin Zhai, Lijing Zhang, Aerziya Kahaerjiang

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Haibing JiangHospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Urumqi- China.ORCID 0009-0000-3242-9619
Yi YangHospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Urumqi- China.
Xueqin ZhaiHospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Urumqi- China.
Lijing ZhangHospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Urumqi- China.
Aerziya KahaerjiangXin Jiang Medical University, Urumqi, Xinjiang - China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are believed to play key roles in the pathophysiology of coronary slow flow (CSF).

objectivesThis study aimed to explore the complex biological networks involved in CSF using whole-transcriptome sequencing, with the goal of identifying potential diagnostic biomarkers and therapeutic targets.

methodsWhole-transcriptome sequencing was performed on samples from three patients with CSF and three matched control subjects. A p-value < 0.05 was considered statistically significant.

resultsA total of 854 lncRNAs were differentially expressed, with 425 downregulated and 429 upregulated. KEGG pathway analysis showed significant enrichment of lncRNAs in pathways associated with cardiovascular diseases, endocrine and metabolic disorders, and neurodegenerative disease progression. Additionally, 1,999 mRNAs were differentially expressed, including 990 downregulated and 1,009 upregulated. Molecular function analysis identified roles in protein binding, regulation of kinase activity, ubiquitin-protein transferase activity, and RNA binding. KEGG analysis indicated that the differentially expressed mRNAs were primarily involved in autophagy, measles, ubiquitin-mediated proteolysis, the NOD-like receptor signaling pathway, the tumor necrosis factor (TNF) signaling pathway, the toll-like receptor (TLR) signaling pathway, and the NF-κB signaling pathway.

conclusionsDifferentially expressed mRNAs were significantly enriched in KEGG pathways related to autophagy, measles, and ubiquitin-mediated degradation, as well as in signaling cascades involving NOD-like receptors, TNF, TLR, and NF-κB. Further studies are required to validate these findings.

Indexed as

Coronary CirculationRNA, Long NoncodingRNA, MessengerTranscriptomeBiomarkersCase-Control StudiesDown-RegulationFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedBiomarkersRNA, Long NoncodingRNA, Messenger

Identifiers

PMID41036882
PMCPMC12677524

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.