Evidence map›Paper›PMID 36619743›Full record

ArticleFrontiers in cellular and infection microbiology2022

New insights of necroptosis and immune infiltration in sepsis-induced myocardial dysfunction from bioinformatics analysis through RNA-seq in mice.

Yan Du, Ying Zhong, Ruilin Ding, Xiaojie Wang, Fenfen Xia, Qian Zhang, Qing Peng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Regulated cell death in sepsis: reframing NETosis within the spectrum of apoptosis and inflammatory lytic death.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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  8. Article
  9. Article
  10. Hydrogen Sulfide (HPathogens (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Utilizing omics technologies in the investigation of sepsis-induced cardiomyopathy.International journal of cardiology. Heart & vasculature · 2024
    Review
  15. Article
  16. 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

7 authors at 1 institution in 1 country.

Yan DuDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Ying ZhongDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Ruilin DingInstitute of Drug Clinical Trial/GCP Center, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Xiaojie WangDepartment of Endocrinology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Fenfen XiaDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Qian ZhangDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Qing PengDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening organ dysfunction caused by dysregulated host immune response to infection. Sepsis-induced myocardial dysfunction (SIMD) is a common complication in patients with severe sepsis and is associated with increased mortality. The molecular mechanisms underlying SIMD are complex and not well characterized. Excessive inflammation due to impaired regulation of immune response is one of the major causes of SIMD. Necroptosis is a novel type of cell death that is closely related to tissue injury and inflammation. However, the role of necroptosis in SIMD is not known. Therefore, in this study, we performed an in-depth bioinformatics analysis to investigate the relationship between necroptosis and SIMD using a mouse model generated by intraperitoneal injection of lipopolysaccharide (LPS) and the underlying mechanisms. Myocardial function was assessed by echocardiography. Histopathological changes in SIMD were analyzed by hematoxylin and eosin (H&E) staining. Gene expression profiles of the heart tissues from the SIMD and control mice were analyzed by bioinformatics analysis. Transcriptome sequencing demonstrated significant differences in the expression levels of 3654 genes in the heart tissues of SIMD mice including 1810 up-regulated and 1844 down-regulated genes. The necroptosis pathway genes were significantly enriched in the heart tissues from the SIMD group mice. We identified 35 necroptosis-related differentially expressed genes (NRDEGs) including MLKL and RIPK3. Cardiomyocyte necroptosis was confirmed by qRT-PCR and western blot analysis. The expression levels of most NRDEGs showed positive correlation with the infiltration levels of mast cells, macrophages, and neutrophils, and negative correlation with the infiltration levels of B cells and plasma cells in the heart tissues of the SIMD group mice. In conclusion, this study demonstrated that necroptosis was associated with changes in the infiltration levels of several immune cell types in the heart tissues of the SIMD model mice. This suggested that necroptosis influenced SIMD development by modulating the immune microenvironment. This suggested that NRDEGs are potential diagnostic biomarkers and therapeutic targets for patients with SIMD.

Indexed as

NecroptosisSepsisHumansMyocardiumMyocytes, CardiacRNA-Seqbioinformatics analysisimmune infiltrationnecroptosisRNA-seqsepsissepsis-induced myocardial dysfunction

Identifiers

PMID36619743
PMCPMC9811394
OpenAlexW4313503104

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Registered trials

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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.