Interferon-related gene array in predicting the efficacy of interferon therapy in chronic hepatitis B.
10.7507/1001-5515.202301014
- Author:
Jiayi WANG
1
;
Jiajie LU
1
;
Chen ZHOU
2
;
Lingyao DU
1
;
Hong TANG
1
Author Information
1. Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
2. West China School of Medicine, Sichuan University, Chengdu 610041, P. R. China.
- Publication Type:Journal Article
- Keywords:
Chronic hepatitis B;
Gene array;
Interferons;
Treatment response
- MeSH:
Humans;
Healthy Volunteers;
Hepatitis B, Chronic/genetics*;
Immunotherapy;
Interleukin-15;
Leukocytes, Mononuclear;
Nuclear Proteins;
Oligonucleotide Array Sequence Analysis/methods*;
Interferons/therapeutic use*;
Treatment Outcome
- From:
Journal of Biomedical Engineering
2023;40(1):79-86
- CountryChina
- Language:Chinese
-
Abstract:
This study aims to clarify host factors of IFN treatment in the treatment of chronic hepatitis B (CHB) patients by screening the differentially expressed genes of IFN pathway CHB patients with different response to interferon (IFN) therapy. Three cases were randomly selected in IFN-responding CHB patients (Rs), non-responding CHB patients (NRs) and healthy participants, respectively. The human type I IFN response RT 2 profiler PCR array was used to detect the expression levels of IFN-related genes in peripheral blood monocytes (PBMCs) from healthy participants and CHB patients before and after Peg-IFN-α 2a treatment. The results showed that more differentially expressed genes appeared in Rs group than NRs group after IFN treatment. Comparing with healthy participants, IFNG, IL7R, IRF1, and IRF8 were downregulated in both Rs and NRs group before IFN treatment; CXCL10, IFIT1, and IFITM1 were upregulated in the Rs; IL13RA1 and IFI35 were upregulated in the NRs, while IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1, and ADAR were downregulated. The expression of IL15, IFI35 and IFI44 was downregulated by 4.09 ( t = 10.58, P < 0.001), 5.59 ( t = 3.37, P = 0.028) and 10.83 ( t = 2.8, P = 0.049) fold in the Rs group compared with the NRs group, respectively. In conclusion, IFN-response-related gene array is able to evaluate IFN treatment response by detecting IFN-related genes levels in PBMC. High expression of CXCL10, IFIT1 and IFITM1 before treatment may suggest satisfied IFN efficacy, while high expression of IL13RA1, IL15, IFI35 and IFI44 molecules and low expression of IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1 and ADAR molecules may be associated with poor IFN efficacy.
