Evidence map›Paper›PMID 33859718›Full record

ArticleComputational and mathematical methods in medicine2021

Transcriptome Classification Reveals Molecular Subgroups in Patients with Hepatitis B Virus.

Conghui Zhang, Jie Li, Lan Yang, Fengxia Xu, Huiyuan She, Xinghui Liu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 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
0.5field-weighted citation impact, top 37% 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, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Conghui Zhang *Postgraduate Training Base in Shanghai Gongli Hospital, Ningxia Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0003-3988-7174
Jie Li *Postgraduate Training Base in Shanghai Gongli Hospital, Ningxia Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0003-2568-5213
Lan YangDepartment of Clinical Laboratory, Shanghai Gongli Hospital, The Second Military Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0002-1144-9810
Fengxia XuDepartment of Clinical Laboratory, Shanghai Gongli Hospital, The Second Military Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0003-4291-1761
Huiyuan SheDepartment of Infectious Medicine, Shanghai Gongli Hospital, The Second Military Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0001-7023-2913
Xinghui LiuDepartment of Clinical Laboratory, Shanghai Gongli Hospital, The Second Military Medical University, Pudong New Area, Shanghai 200135, China.ORCID https://orcid.org/0000-0001-9472-2984
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) specifically infects hepatocytes, which can cause progressive liver fibrosis and a significantly increased risk of liver cancer. Multiple studies indicated host genetic, virological, and immunological factors could affect the HBV infection. However, the underlying mechanism involved in HBV infection remained unclear. Based on the analysis of gene expression data of 124 HBV patients (GEO accession: GSE84044), molecular subgroups of patients infected with hepatitis B virus were identified in this study, including C1, C2, and C3 groups. The age, fiber, degree of chemical and inflammation, and gene expression difference were also compared among the three sampling groups. Furthermore, the liver index was calculated using 93 liver-specific genes. The liver-specific gene expression in different molecular subgroups of HBV patients was thoroughly analyzed and then was compared with fibrosis and inflammation levels. Results showed that the C2 group was the youngest and the C3 group had the highest degree of fibrosis and inflammation. Enrichment analysis showed that metabolism-related pathways were mainly expressed in the C1 and C2 groups, and inflammation-related pathways and proteoglycans in cancer were highly expressed in the C1 and C3 groups. The liver index was higher in the C2 group than in the C1 and C3 groups, and it was the lowest in the C3 group. Macrophage M1/M2 and neutrophils were significantly different in the three groups. M1 was mainly abundant in the C3 group, and M2 and neutrophils were mainly abundant in the C2 group. This study provides novel information to understand the mechanisms of HBV infection in chronic hepatitis B (CHB) patients.

Indexed as

TranscriptomeAlgorithmsComputational BiologyDisease ProgressionFemaleHepatitis B, ChronicHepatitis B virusHost Microbial InteractionsHumansImmune SystemLiverLiver CirrhosisLiver NeoplasmsMaleMetabolic Networks and PathwaysMiddle Aged

Identifiers

PMID33859718
PMCPMC8028738
OpenAlexW3149077893

What OpenQuestion holds

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LicenceCC BY
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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.