Evidence map›Paper›PMID 33077816›Full record

ArticleScientific reports2020

The protective role of miR-223 in sepsis-induced mortality.

Dan Liu, Zhiding Wang, Huijuan Wang, Feifei Ren, Yanqin Li, Sifan Zou, Jianqiao Xu, Lixin Xie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. MicroRNAs and Sepsis-Induced Cardiac Dysfunction: A Systematic Review.International journal of molecular sciences · 2020
    Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Lymphopenia in sepsis: a narrative review.Critical care (London, England) · 2024
    Review
  11. MicroRNAs in Sepsis.Biomedicines · 2024
    Review
  12. Article
  13. MicroRNA Profiles in Critically Ill Patients.Current medicinal chemistry · 2024
    Review
  14. Article
  15. Article
  16. Role of miRNA dysregulation in sepsis.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  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

8 authors at 2 institutions in 1 country.

Dan LiuCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Zhiding WangDepartment of Hematology and Oncology, International Cancer Center, Shenzhen University General Hospital, Shenzhen University Health Science Center, Shenzhen, 518000, China.
Huijuan WangCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Feifei RenCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Yanqin LiCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Sifan ZouCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Jianqiao XuCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Lixin XieCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. dianebobo@126.com.
Chinese PLA General Hospital · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphocyte apoptosis appears to play an important role in immunodysfunction in sepsis. We investigated the role of miR-223 in cell proliferation and apoptosis to identify potential target downstream proteins in sepsis. We recruited 143 patients with sepsis and 44 healthy controls from the Chinese PLA General Hospital. Flow cytometry was used to sort monocytes, lymphocytes, and neutrophils from fresh peripheral blood. A miR-223 mimic and inhibitor were used for transient transfection of Jurkat T cells. Quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) was used to assess expression of the miRNAs in cells. Western blot analysis was performed to measure protein expression. We evaluated the cell cycle and apoptosis by using flow cytometry (FCM) and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL). Expression of miR-223 was significantly higher in the survivor group than in the nonsurvivor group. Multiple linear regression analysis revealed that SOFA scores correlated negatively with miR-223 and monocyte counts, with β coefficients (95% CI) of - 0.048 (- 0.077, - 0.019) and - 47.707 (- 83.871, - 11.543), respectively. miR-223 expression also correlated negatively with the percentage of apoptosis in lymphocytes. The rate of apoptosis in the miR-223 mimic group was significantly lower than that of the negative control, with an adverse outcome observed in the miR-223 inhibitor group. We also found that miR-223 enhanced the proliferation of Jurkat T cells and that inhibiting miR-223 had an inhibitory effect on the G1/S transition. We conclude that miR-223 can serve as a protective factor in sepsis by reducing apoptosis and enhancing cell proliferation in lymphocytes by interacting with FOXO1. Potential downstream molecules are HSP60, HSP70, and HTRA.

Indexed as

AdultAgedAged, 80 and overApoptosisCase-Control StudiesCell CycleFemaleHumansLymphocytesMaleMicroRNAsMiddle AgedSepsisMicroRNAsMIR223, human

Identifiers

PMID33077816
PMCPMC7572423
OpenAlexW3093404184

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.