Hepatitis B is an infectious disease of great public health importance. Nigeria is one of the countries with the highest incidence of Hepatitis B Virus (HBV) infection worldwide. However, the accessibility and affordability of HBV DNA quantification (viral load) assay which is the key laboratory test for therapy initiation, and monitoring is a challenge to HBV management. The study was done to evaluate serum levels of HBV-DNA concentration and HBsAg titers of hepatitis b virus-infected subjects at NAUTH Nnewi. Cross sectional study design was used with a total of 264 subjects comprising of 88 HBsAg seropositive treatment naïve subjects, 88 HBsAg seropositive subjects on antiviral therapy as case subjects and 88 age-matched apparently healthy HBsAg seronegative individuals were recruited as control subjects. Hepatitis BVirus DNA assay was performed using real time PCR technique, ELISA technique was used for Hepatitis B surface antigen quantification, Hepatitis Bcore Antibody Immunoglobulin M and Hepatitis D Virus Immunoglobulin G assay. Immunochromatography was used for HBV Panel, Hepatitis C Virus assay, Human Immunodeficiency Virus testing. HBsAg quantification showed strong positive correlation with HBV DNA viral load both in treatment and nontreatment groups (r = 0.673; p < 0.001). The non-treatment group has higher viral load (M=805.50IU/ml) compared with treatment group (M = 65.50IU/ml) (p<0.001).
Nigeria is one of the countries with the highest incidence of Hepatitis B Virus (HBV) infection worldwide. The inaccessibility and unaffordability of HBV DNA quantification (viral load) assay which is the key laboratory test for therapy initiation, and monitoring is a challenge to HBV management. This study aimed at evaluating the HBV DNA viral load differences across the serological markers of HBV in order to develop a more cost-effective diagnostic algorithm for Hepatitis B management. Cross sectional study design was used with a total of 264 subjects comprising of 88 HBsAg seropositive treatment naïve subjects, 88 HBsAg seropositive subjects on antiviral therapy as case subjects and 88 age-matched apparently healthy HBsAg seronegative individuals were recruited as control subjects. Hepatitis B Virus DNA assay was performed using real time PCR technique, Hepatitis B core Antibody Immunoglobulin M and Hepatitis D Virus Immunoglobulin G assay. Immunochromatography was used for HBV Panel, Hepatitis C Virus assay and Human Immunodeficiency Virus testing. The non-treatment group has higher viral load (M=805.50 IU/ml) compared with treatment group (M = 65.50 IU/ml) (p<0.001). There was a significant difference in the HBV DNA levels of the four serological patterns observed in the study (P< 0.001). Among the four serological patterns observed, the second pattern with positive surface antibody, positive envelope antigen and negative envelope antibody showed highest viral load (M= 46850189.50 IU/ml) followed by the third pattern with negative surface antibody, negative envelope antigen, and negative envelope antibody (M=46555 IU/ml). The first pattern which has negative surface antibody, negative envelope antigen and positive envelope antibody has the lowest viral load (M=21.00 IU/ml) followed by the fourth pattern with positive surface antibody, negative envelope antigen and positive envelope antibody (M=493.00 IU/ml). This study showed that HBV serological markers can predict viral load and should be used as its alternative in resource poor settings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.