Evidence map›Paper›PMID 37720432›Full record

ArticleJournal of gastrointestinal oncology2023

A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq.

Jiahao Mo, Chang Liu, Zhuolin Li, Longxiu Fan, Shaohua Wu, Hatim Husain, Cailing Zhong, Beiping Zhang

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Jiahao Mo *The Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Chang Liu *The Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Zhuolin LiThe Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Longxiu FanThe Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Shaohua WuThe Second Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Hatim HusainDivision of Hematology and Oncology, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Cailing ZhongDepartment of Gastroenterology, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Beiping ZhangDepartment of Gastroenterology, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-alcoholic fatty liver disease (NAFLD) is the global most common chronic liver disease. Non-alcoholic steatohepatitis (NASH), an inflammatory subtype of NAFLD, has been shown to significantly increase the risk of colorectal adenoma (CRA). Therefore, from the perspective of bioinformatics analysis, the potential mechanisms of NASH/NAFLD-CRA can be explored. Methods: In this study, we screened the differentially expressed genes (DEGs) and core effect pathways between NASH and CRA by analyzing the single-cell data of CRA patients and the high-throughput sequencing data (GSE37364 and GSE89632) in the online database. We screened therapeutic targets and biomarkers through gene function classification, pathway enrichment analysis, and protein-protein interaction network analysis. In terms of single cell data, we screened the core effect pathway and specific signal pathway of cell communication through cell annotation and cell communication analyses. The purpose of the study was to find potential biomarkers, therapeutic targets, and related effect pathways of NASH-CRA. Results: NASH-CRA comorbidities were concentrated in inflammatory regulation-related pathways, and the core genes of disease progression included Conclusions: The core genes of NASH-CRA (

Indexed as

bioinformatics analysiscellular communication networkscolorectal adenoma (CRA)Non-alcoholic steatohepatitis (NASH)single-cell RNA sequencing (scRNA-seq)

Identifiers

PMID37720432
PMCPMC10502531

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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.