Evidence map›Paper›PMID 38169915›Full record

ArticleMediators of inflammation2023

Key Cell Types and Biomarkers in Heart Failure Identified through Analysis of Single-Cell and Bulk RNA Sequencing Data.

Ying Kong, Ning Yang, Zhiqing Luo, Ruiting Huang, Quhuan Li

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Ying KongSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China.ORCID https://orcid.org/0009-0007-6881-6080
Ning YangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China.ORCID https://orcid.org/0009-0000-4851-8560
Zhiqing LuoSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China.ORCID https://orcid.org/0009-0002-9392-1089
Ruiting HuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China.ORCID https://orcid.org/0009-0003-0856-1064
Quhuan LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China.ORCID https://orcid.org/0000-0001-6133-3114
South China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a complex clinical syndrome resulting from various cardiac diseases and a significant medical issue worldwide. Although the role of inflammation in HF pathogenesis is well-known, the specific cell types and regulatory molecules involved remain poorly understood. Here, we identified key cell types and novel biomarkers via an analysis of single-cell and bulk RNA sequencing data obtained from patients with two major HF types of ischemic cardiomyopathy and dilated cardiomyopathy. Myeloid cells were identified as the primary cell population involved in HF through cellular fraction and gene set enrichment analysis. Additionally, differential analysis of myeloid cells revealed crosstalk between cellular communication and cytokine-regulated immune responses in HF, with the MIF pathway emerging as a crucial immune regulatory pathway. The CD74/CXCR4 receptor complex in myeloid cell subgroup M

Indexed as

Heart FailureMacrophage Migration-Inhibitory FactorsHumansReceptors, CXCR4RNASequence Analysis, RNAMacrophage Migration-Inhibitory FactorsReceptors, CXCR4RNA

Identifiers

PMID38169915
PMCPMC10761229
OpenAlexW4390221464

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.