Evidence map›Paper›PMID 39578684›Full record

ArticleIET systems biology2024

Inference and analysis of cell-cell communication of non-myeloid circulating cells in late sepsis based on single-cell RNA-seq.

Yanyan Tao, Miaomiao Li, Cheng Liu

Abstract read
In one paragraph

Article in IET systems biology, 2024. 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

3 authors.

Yanyan TaoDepartment of Emergency Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Miaomiao LiDepartment of Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Cheng LiuInstitute of Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.ORCID 0009-0006-8642-5887

Funding

Key Natural Project of Bengbu Medical College NO.2021byzd157 and 2022byzd039Key Natural Science Research Project of Anhui Educational Committee NO.2023AH051996
6 · The paper itself

Abstract

Sepsis is a severe systemic inflammatory syndrome triggered by infection and is a leading cause of morbidity and mortality in intensive care units (ICUs). Immune dysfunction is a hallmark of sepsis. In this study, the authors investigated cell-cell communication among lymphoid-derived leucocytes using single-cell RNA sequencing (scRNA-seq) to gain a deeper understanding of the underlying mechanisms in late-stage sepsis. The authors' findings revealed that both the number and strength of cellular interactions were elevated in septic patients compared to healthy individuals, with several pathways showing significant alterations, particularly in conventional dendritic cells (cDCs) and plasmacytoid dendritic cells (pDCs). Notably, pathways such as CD6-ALCAM were more activated in sepsis, potentially due to T cell suppression. This study offers new insights into the mechanisms of immunosuppression and provides potential avenues for clinical intervention in sepsis.

Indexed as

Cell CommunicationSepsisSingle-Cell AnalysisDendritic CellsFemaleHumansMaleMiddle AgedRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression Analysisbioinformaticsbiology computingdata analysis

Identifiers

PMID39578684
PMCPMC11665843

What OpenQuestion holds

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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.