Evidence map›Paper›PMID 33787392›Full record

ArticleThe Journal of international medical research2021

Identification of candidate biomarkers of liver hydatid disease via microarray profiling, bioinformatics analysis, and machine learning.

Jinwu Peng, Zhili Duan, Yamin Guo, Xiaona Li, Xiaoqin Luo, Xiumin Han, Junming Luo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2021. 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
0.3field-weighted citation impact, top 45% 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, 4 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 3 institutions in 1 country.

Jinwu PengDepartment of Pathology, Xiangya Basic Medical School, Central South University, Changsha, Hunan, China.
Zhili DuanDepartment of Pathology, Qinghai Provincial People's Hospital, Xining, Qinghai, China.
Yamin GuoDepartment of General Surgery, Qinghai Provincial People's Hospital, Xining, Qinghai, China.
Xiaona LiDepartment of Pathology, Qinghai Provincial People's Hospital, Xining, Qinghai, China.
Xiaoqin LuoDepartment of Pathology, Qinghai Provincial People's Hospital, Xining, Qinghai, China.
Xiumin HanDepartment of General Surgery, Qinghai Provincial People's Hospital, Xining, Qinghai, China.
Junming LuoDepartment of Pathology, Xiangya Changde Hospital, Changde, Hunan, China.ORCID https://orcid.org/0000-0002-4993-8492
Qinghai Provincial Peoples Hospital · CNCentral South University · CNThe First People's Hospital of Changde · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLiver echinococcosis is a severe zoonotic disease caused by

methodsMicroarray profiling followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was performed in liver tissue from patients with liver hydatid disease and from healthy controls from the Qinghai region of China. A protein-protein interaction (PPI) network and random forest model were established to identify potential biomarkers and predict the occurrence of liver echinococcosis, respectively.

resultsMicroarray profiling identified 1152 differentially expressed genes (DEGs), including 936 upregulated genes and 216 downregulated genes. Several previously unreported biological processes and signaling pathways were identified. The FCGR2B and CTLA4 proteins were identified by the PPI networks and random forest model. The random forest model based on FCGR2B and CTLA4 reliably predicted the occurrence of liver hydatid disease, with an area under the receiver operator characteristic curve of 0.921.

conclusionOur findings give new insight into gene expression in patients with liver echinococcosis from the Qinghai region of China, improving our understanding of hepatic hydatid disease.

Indexed as

Computational BiologyEchinococcosisBiomarkersChinaGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansLiverMachine LearningBiomarkersCTLA4echinococcosisFCGR2BLiver hydatid diseasemicroarray profilingQinghai region of China

Identifiers

PMID33787392
PMCPMC8020228
OpenAlexW3141111741

What OpenQuestion holds

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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.