Evidence map›Paper›PMID 28413462›Full record

ArticleExperimental and therapeutic medicine2017

Identification of miRNA biomarkers of pneumonia using RNA-sequencing and bioinformatics analysis.

Sai Huang, Cong Feng, Yong-Zhi Zhai, Xuan Zhou, Bei Li, Li-Li Wang, Wei Chen, Fa-Qin Lv, Tan-Shi Li

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. B2M is a Biomarker Associated With Immune Infiltration In High Altitude Pulmonary Edema.Combinatorial chemistry & high throughput screening · 2024
    Article
  7. MicroRNA Profiles in Critically Ill Patients.Current medicinal chemistry · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. let7f‑5p attenuates inflammatory injury in iMolecular medicine reports · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Sai HuangDepartment of Hematology, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Cong FengDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Yong-Zhi ZhaiDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Xuan ZhouDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Bei LiDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Li-Li WangDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Wei ChenDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Fa-Qin LvDepartment of Ultrasound, People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Tan-Shi LiDepartment of Emergency, People's Liberation Army General Hospital, Beijing 100853, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumonia is a lower respiratory tract infection that causes dramatic mortality worldwide. The present study aimed to investigate the pathogenesis of pneumonia and identify microRNA (miRNA) biomarkers as candidates for targeted therapy. RNA from the peripheral blood plasma of participants with pneumonia (severe, n=9; non-severe, n=9) and controls (n=9) was isolated and paired-end sequencing was performed on an Illumina HiSeq4000 system. Following the processing of raw reads, the sequences were aligned against the Genome Reference Consortium human genome assembly 38 reference genome using Bowtie2 software. Reads per kilobase of transcript per million mapped read values were obtained and the limma software package was used to identify differentially expressed miRNAs (DE-miRs). Then, DE-miR targets were predicted and subjected to enrichment analysis. In addition, a protein-protein interaction (PPI) network of the predicted targets was constructed. This analysis identified 11 key DE-miRs in pneumonia samples, including 6 upregulated miRNAs (including hsa-miR-34a and hsa-miR-455) and 5 downregulated miRNAs (including hsa-let-7f-1). All DE-miRs kept their upregulation/downregulation pattern in the control, non-severe pneumonia and severe pneumonia samples. Predicted target genes of DE-miRs in the subjects with non-severe pneumonia vs. the control and the subjects with severe pneumonia vs. the non-severe pneumonia group were markedly enriched in the adherens junction and Wnt signaling pathways.

Indexed as

miRNAnotch signaling pathwaypneumoniaprotein-protein interactionRNA-sequencingtarget

Identifiers

PMID28413462
PMCPMC5377245
OpenAlexW2589200987

What OpenQuestion holds

Textmetadata
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.