Coexisting patterns and significance of serum HBV RNA and HBV DNA in patients with treatment-naïve chronic hepatitis B virus infection.

IF 3.1 3区医学 Q1 MEDICINE, GENERAL & INTERNAL Frontiers in Medicine Pub Date : 2025-01-08 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1525476

Kun-Yan Hao, Ye Fan, Yi-Qing Zhang, Yue-Cheng Yu

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Abstract

Aim: The study aimed to explore the coexisting patterns and assess the significance of serum hepatitis B virus (HBV) RNA and traditional virological biomarkers in patients with antiviral treatment-naïve chronic hepatitis B virus (HBV) infection.

Methods: Serum HBV RNA, HBV DNA, hepatitis B surface antigen (HBsAg), and hepatitis B envelope antigen (HBeAg) levels were measured and compared in patients with chronic hepatitis B virus infection. The HBV RNA levels were determined using a simultaneous amplification and testing assay.

Results: In the HBeAg-negative (HBeAg [-]) patients, the serum HBV RNA detectable (HBV RNA [+]) rate (33.33%, 14/42) was significantly lower than the serum HBV DNA detectable (HBV DNA [+]) rate (95.24%, 40/42; p < 0.001). However, there was no significant difference in the HBeAg-positive (HBeAg [+]) patients (p > 0.05). The HBV RNA (+) rate (33.33%, 14/42) was lower in the HBeAg-negative patients than in the HBeAg-positive patients (100%, 17/17, p < 0.001), while the HBV DNA (+) rate (95.24%, 40/42 vs. 94.12%, 16/17) showed no significant difference (p > 0.05). The HBV RNA (+) rates showed a significant difference (p < 0.001) among the different HBsAg levels (10.00, 65.00, 84.21%, p < 0.001), while the HBV DNA (+) rate showed no significant difference (p > 0.05). In all patients, serum HBV RNA correlated well with HBV DNA (r = 0.72, p < 0.001), HBeAg (r = 0.68, p < 0.001), and HBsAg (r = 0.66, p < 0.001). However, the correlations between HBV RNA and other biomarkers varied across the different HBsAg and HBeAg levels.

Conclusion: The coexisting patterns of serum HBV RNA and HBV DNA varied with the levels of HBeAg and HBsAg in the patients with treatment-naïve chronic HBV infection. This further suggests that serum HBV RNA should be included in the key index panel to accurately evaluate the natural history of HBV infection and the effects of antiviral treatment.

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treatment-naïve慢性乙型肝炎病毒感染患者血清HBV RNA和HBV DNA共存模式及意义

目的：探讨血清乙型肝炎病毒（HBV） RNA与传统病毒学生物标志物在抗病毒treatment-naïve慢性乙型肝炎病毒（HBV）感染患者中的共存规律并评价其意义。方法：测定慢性乙型肝炎病毒感染患者血清HBV RNA、HBV DNA、乙型肝炎表面抗原（HBsAg）、乙型肝炎包膜抗原（HBeAg）水平并进行比较。采用同步扩增和检测方法测定HBV RNA水平。结果：在HBeAg阴性（HBeAg[-]）患者中，血清HBV RNA （HBV RNA[+]）检出率（33.33%,14/42）显著低于血清HBV DNA （HBV DNA[+]）检出率(95.24%,40/42；p  > 0.05)。hbeag阴性患者HBV RNA（+）率（33.33%,14/42）低于hbeag阳性患者（100%,17/17,p p > 0.05）。HBV RNA（+）率差异有统计学意义（p p p > 0.05）。在所有患者中,血清乙肝病毒RNA相关与乙肝病毒DNA (r = 0.72,p r = 0.68,p r = 0.66,p 结论:血清乙肝病毒RNA和乙肝病毒DNA的共存模式随e抗原和表面的水平首次治疗慢性乙型肝炎病毒感染患者。这进一步提示应将血清HBV RNA纳入关键指标面板，以准确评价HBV感染的自然史和抗病毒治疗的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Medicine Medicine-General Medicine

CiteScore

5.10

自引率

5.10%

发文量

3710

审稿时长

12 weeks

期刊介绍： Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world