Evidence map›Paper›PMID 32355750›Full record

ArticleAnnals of translational medicine2020

Contribution of m6A subtype classification on heterogeneity of sepsis.

Shi Zhang, Feng Liu, Zongsheng Wu, Jianfeng Xie, Yi Yang, Haibo Qiu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 46 citations in OpenAlex.

  1. Upregulation of mScience China. Life sciences · 2026
    Article
  2. Article
  3. Review
  4. Identification and validation of mFrontiers in immunology · 2025
    Article
  5. Research advances in mFrontiers in cell and developmental biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. RNA m6A methylation regulators in sepsis.Molecular and cellular biochemistry · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Exploration of mBMC bioinformatics · 2023
    Article
  16. Article
  17. Article
  18. Review
  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

6 authors at 1 institution in 1 country.

Shi ZhangDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Feng LiuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Zongsheng WuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Jianfeng XieDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Yi YangDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Haibo QiuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a highly heterogeneous syndrome with diverse immune status and varied bioprocesses among individuals. The heterogeneity of sepsis could be associated with N6-methyladenosine (m6A) RNA methylation, due to m6A as a common and reversible posttranscriptional RNA modification involved in the regulation of whole bioprocesses. Therefore, we aim to identify m6A induced molecular subtypes of sepsis and furthermore explore the probable mechanism.

methodsGene expression datasets with 479 consecutive patients admitted for sepsis to the intensive care unit (ICU) in the Amsterdam Academic Medical Center were included in present study at first. Secondly, twelve m6A methylation regulatory genes were determined via systematic review in published researches. Furthermore, we utilized unsupervised clustering (consensus k means clustering) to identify m6A induced molecular subtypes in sepsis based on m6A prognostic molecular, and assess the association of these subtypes with clinical traits and survival outcomes. Moreover, the probable mechanism and regulatory relationship of m6A in sepsis was also explored through Gene Set Enrichment Analysis (GSEA), Weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) analysis and Co-expression analysis.

resultsThree m6A subtypes with different outcome were identified in sepsis cohort through unsupervised clustering on m6A prognostic molecular, designated Cluster 1/2/3 (log-rank P=0.004). The best outcome was found for patients classified as having cluster 3, and at 28 days, 21 of 144 people with cluster 3 had died [hazard ratio (HR)

conclusionsAccording to the heterogeneity in m6A methylation regulatory genes, three distinct subtypes in sepsis were identified with different RNA epigenetics, immune status, biological processes and outcomes, which initially uncovered that heterogeneity of sepsis may be largely caused by m6A RNA methylation.

Indexed as

autophagyheterogeneityimmunitym6A RNA methylationSepsis

Identifiers

PMID32355750
PMCPMC7186660
OpenAlexW3014249369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.