Evidence map›Paper›PMID 37851406›Full record

ArticleHepatology communications2023

Multiscale integrative analyses unveil immune-related diagnostic signature for the progression of MASLD.

Jing Bai, Lun Zhu, Wanqi Mi, Zhengzheng Gao, Minyue Ouyang, Wanlu Sheng, Lin Song, Lidao Bao, Yuheng Ma, Yingqi Xu

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
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

10 authors at 3 institutions in 1 country.

Jing BaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lun ZhuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wanqi MiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhengzheng GaoCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Minyue OuyangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wanlu ShengCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Lin SongCollege of Mongolian Medicine, Inner Mongolia Medical University, Hohhot, China.
Lidao BaoHohhot Mongolian Medicine of Traditional Chinese Medicine Hospital, Hohhot, China.
Yuheng MaCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Yingqi XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID 0000-0001-6879-639
Harbin Medical University · CNInner Mongolia Medical University · CNInner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a chronic liver disease prevalent worldwide, with an increasing incidence associated with obesity, diabetes, and metabolic syndrome. The progression of MASLD to metabolic dysfunction-associated steatohepatitis (MASH) poses a pressing health concern, highlighting the significance of accurately identifying MASLD and its progression to MASH as a primary challenge in the field. In this study, a systematic integration of 66 immune cell types was conducted. Comprehensive analyses were performed on bulk, single-cell RNA-Seq, and clinical data to investigate the immune cell types implicated in MASLD progression thoroughly. Multiple approaches, including immune infiltration, gene expression trend analysis, weighted gene coexpression network analysis, and 4 machine learning algorithms, were used to examine the dynamic changes in genes and immune cells during MASLD progression. C-X-C motif chemokine receptor 4 and dedicator of cytokinesis 8 have been identified as potential diagnostic biomarkers for MASLD progression. Furthermore, cell communication analysis at the single-cell level revealed that the involvement of C-X-C motif chemokine receptor 4 and dedicator of cytokinesis 8 in MASLD progression is mediated through their influence on T cells. Overall, our study identified vital immune cells and a 2-gene diagnostic signature for the progression of MASLD, providing a new perspective on the diagnosis and immune-related molecular mechanisms of MASLD. These findings have important implications for developing innovative diagnostic tools and therapies for MASLD.

Indexed as

Fatty LiverMetabolic SyndromeAlgorithmsGene Expression ProfilingHumansReceptors, ChemokineReceptors, Chemokine

Identifiers

PMID37851406
PMCPMC10586828
OpenAlexW4387728195

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.