Cited 0 times in

Evaluation of autoimmune liver disease antibodies in hepatitis patients

Authors
 Namsoo Kim  ;  Sinyoung Kim  ;  Jong Rak Choi  ;  Younhee Park 
Citation
 PLOS ONE, Vol.19(8) : e0307285, 2024-08 
Journal Title
PLOS ONE
Issue Date
2024-08
MeSH
Adult ; Aged ; Antibodies, Antinuclear* / blood ; Antibodies, Antinuclear* / immunology ; Autoantibodies* / blood ; Autoantibodies* / immunology ; Female ; Hepatitis, Autoimmune* / blood ; Hepatitis, Autoimmune* / diagnosis ; Hepatitis, Autoimmune* / immunology ; Humans ; Immunoglobulin G* / blood ; Immunoglobulin G* / immunology ; Male ; Middle Aged
Abstract
Background/aims: Autoimmune hepatitis (AIH) is characterized by the presence of auto-antibodies and high blood immunoglobulin G (IgG) levels. In this study, the line immunoassay (LIA) was designed to assess various autoantibodies.

Methods: In total, 1371 patients who underwent autoimmune liver disease antibody testing between July 2019 and November 2022 were enrolled. Autoantibodies including antinuclear antibody (ANA) and anti-mitochondrial antibody (AMA) were tested, and clinical data were collected. Statistical analyses were performed by categorizing the data based on diagnosis and IgG quantification separately. A scoring system was applied to identify individuals with AIH. Patients were also classified into the AIH and non-AIH groups.

Results: The positivity rate for ANA was 80.2% in the AIH group. The IgG-high group had a high likelihood of the presence of detectable autoantibodies, with anti-Ro-52 being the most frequently detected antibody using LIA. The "Consider AIH" and "AMA" groups had 3-4 times more patients in the IgG-high group than in the "Not Considered" group.

Conclusions: Among autoantibodies, the prevalence of ANA was the highest. As per LIA results, anti-Ro-52 was the most prevalent. AIH cannot be diagnosed based on IgG levels alone and must be distinguished via autoantibody testing. Therefore, extensive testing, including autoantibodies, IgG, ANA, and liver enzyme levels, will help accurately diagnose AIH.
Files in This Item:
T202405036.pdf Download
DOI
39163317
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sin Young(김신영) ORCID logo https://orcid.org/0000-0002-2609-8945
Park, Youn Hee(박윤희) ORCID logo https://orcid.org/0000-0001-8458-1495
Choi, Jong Rak(최종락) ORCID logo https://orcid.org/0000-0002-0608-2989
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/200452
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links