Evidence map›Paper›PMID 37280603›Full record

ArticleProteome science2023

Data-independent acquisition-based mass spectrometry(DIA-MS) for quantitative analysis of patients with chronic hepatitis B.

Bo Wang, Qian Zhang, Lili Wu, Cunliang Deng, Meiyan Luo, Yu Xie, Gang Wu, Wen Chen, Yunjian Sheng, Peng Zhu and 1 more

Abstract read
In one paragraph

Article in Proteome science, 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. Review
  3. 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

11 authors.

Bo WangDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Qian ZhangDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Lili WuDepartment of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China.
Cunliang DengDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Meiyan LuoCollege of Graduate, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Yu XieCollege of Graduate, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Gang WuDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Wen ChenDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Yunjian ShengDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Peng ZhuDepartment of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China.
Gang QinDepartment of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China. 990850823@qq.com.

Funding

Suining First People's Hospital-Southwest Medical University cooperation project 2020SNXNYD02
6 · The paper itself

Abstract

Chronic hepatitis B is a significant public health problem and complex pathologic process, and unraveling the underlying mechanisms and pathophysiology is of great significance. Data independent acquisition mass spectrometry (DIA-MS) is a label-free quantitative proteomics method that has been successfully applied to the study of a wide range of diseases. The aim of this study was to apply DIA-MS for proteomic analysis of patients with chronic hepatitis B. We performed comprehensive proteomics analysis of protein expression in serum samples from HBV patients and healthy controls by using DIA-MS. Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein network analysis were performed on differentially expressed proteins and were further combined with literature analysis. We successfully identified a total of 3786 serum proteins with a high quantitative performance from serum samples in this study. We identified 310 differentially expressed proteins (DEPs) (fold change > 1.5 and P value < 0.05 as the criteria for a significant difference) between HBV and healthy samples. A total of 242 upregulated proteins and 68 downregulated proteins were among the DEPs. Some protein expression levels were significantly elevated or decreased in patients with chronic hepatitis B, indicating a relation to chronic liver disease, which should be further investigated.

Indexed as

CHBChronic hepatitis BDIA-MSHepatitis B virus

Identifiers

PMID37280603
PMCPMC10246044

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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.