Evidence map›Paper›PMID 39017915›Full record

ArticleHepatology international2024

Dose-response relationship between serum N-glycan markers and liver fibrosis in chronic hepatitis B.

Chi Zhang, Yiqi Liu, Lin Wang, Xueen Liu, Cuiying Chen, Junli Zhang, Chao Zhang, Guiqiang Wang, Hui Zhuang, Hong Zhao and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Hepatology international, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

11 authors.

Chi Zhang *Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China.
Yiqi Liu *Department of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China.
Lin Wang *Department of Clinical Laboratory, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Xueen LiuDepartment of Microbiology & Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Cuiying ChenDepartment of Research and Development, Sysdiagno (Nanjing) Biotech Co., Ltd, Nanjing, 210008, Jiangsu Province, China.
Junli ZhangDepartment of Research and Development, Sysdiagno (Nanjing) Biotech Co., Ltd, Nanjing, 210008, Jiangsu Province, China.
Chao ZhangDepartment of Research and Development, Sysdiagno (Nanjing) Biotech Co., Ltd, Nanjing, 210008, Jiangsu Province, China.
Guiqiang WangDepartment of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China. john31212@126.com.
Hui ZhuangDepartment of Microbiology & Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China. zhuangbmu@126.com.
Hong ZhaoDepartment of Infectious Disease, Center for Liver Disease, Peking University First Hospital, Beijing, 100034, China. zhaohong_pufh@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-8069-9901
China HepB-Related Fibrosis Assessment Research Group

Funding

China Mega-Project for Infectious Diseases 2013ZX10002005China Mega-Project for Infectious Diseases 2017ZX10203202National Natural Science Foundation of China 82270626
6 · The paper itself

Abstract

backgroundEvaluation of liver fibrosis played a monumental role in the diagnosis and monitoring of chronic hepatitis B (CHB). We aimed to explore the value of serum N-glycan markers in liver fibrosis.

methodsThis multi-center (33 hospitals) study recruited 760 treatment-naïve CHB patients who underwent liver biopsy. Serum N-glycan markers were analyzed by DNA sequencer-assisted fluorophore-assisted with capillary electrophoresis (DSA-FACE) technology. First, we explore the relationship between 12 serum N-glycan markers and the fibrosis stage. Then, we developed a Px score for diagnosing significant fibrosis using the LASSO regression. Next, we compared the diagnostic performances between Px, LSM, APRI, and FIB-4. Finally, we explored the relationships between glycosyltransferase gene and liver fibrosis with RNA-transcriptome sequencing.

resultsWe included 622 CHB participants: male-dominated (69.6%); median age 42.0 (IQR 34.0-50.0); 287 with normal ALT; 73.0% with significant fibrosis. P5(NA2), P8(NA3), and P10(NA4) were opposite to the degree of fibrosis, while other profiles (except for P0[NGA2]) increased with the degree of fibrosis. Seven profiles (P1[NGA2F], P2[NGA2FB], P3[NG1A2F], P4[NG1A2F], P7[NA2FB], P8[NA3], and P9[NA3Fb]) were selected into Px score. Px score was associated with an increased risk of significant fibrosis (for per Px score increase, the risk of significant fibrosis was increased by 3.54 times (OR = 4.54 [2.63-7.82]) in the fully-adjusted generalized linear model. p for trend was <0.001. The diagnostic performance of the Px score was superior to others. Glycosyltransferase genes were overexpressed in liver fibrosis, and glycosylation and glycosyltransferase-related pathways were significantly enriched.

conclusionsSerum N-glycan markers were positively correlated with liver fibrosis. Px score had good performance in distinguishing significant fibrosis.

Indexed as

BiomarkersHepatitis B, ChronicLiver CirrhosisPolysaccharidesAdultFemaleHumansMaleMiddle AgedBiomarkersPolysaccharidesChronic hepatitis BDiagnostic performanceLiver fibrosisRNA-transcriptome sequencingSerum N-glycan markers

Identifiers

PMID39017915
PMCPMC11461603

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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.