Evidence map›Paper›PMID 38275754›Full record

ArticleBiomolecules2023

Integrated Bioinformatics and Validation Reveal

Zhiyu Xiong, Ping Chen, Mengqin Yuan, Lichao Yao, Zheng Wang, Pingji Liu, Yingan Jiang

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Zhiyu XiongDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Ping ChenDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Mengqin YuanDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Lichao YaoDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zheng WangDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Pingji LiuDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yingan JiangDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

he Anti-aging Research Center of Wuhan University Education Development Foundation No.2002330
6 · The paper itself

Abstract

Liver cirrhosis remains a significant global public health concern, with liver transplantation standing as the foremost effective treatment currently available. Therefore, investigating the pathogenesis of liver cirrhosis and developing novel therapies is imperative. Mitochondrial dysfunction stands out as a pivotal factor in its development. This study aimed to elucidate the relationship between mitochondria dysfunction and liver cirrhosis using bioinformatic methods to unveil its pathogenesis. Initially, we identified 460 co-expressed differential genes (co-DEGs) from the GSE14323 and GSE25097 datasets, alongside their combined datasets. Functional analysis revealed that these co-DEGs were associated with inflammatory cytokines and cirrhosis-related signaling pathways. Utilizing weighted gene co-expression network analysis (WCGNA), we screened module genes, intersecting them with co-DEGs and oxidative stress-related mitochondrial genes. Two algorithms (least absolute shrinkage and selection operator (LASSO) regression and SVE-RFE) were then employed to further analyze the intersecting genes. Finally,

Indexed as

Liver CirrhosisLiver TransplantationAlgorithmsComputational BiologyCytokinesHumansMembrane ProteinsCytokinesIFI27 protein, humanMembrane Proteinsbioinformatics analysisliver cirrhosismachine learningmacrophagesmitochondrial dysfunctionoxidative stress

Identifiers

PMID38275754
PMCPMC10813755
OpenAlexW4390059106

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.