Changes of natural killer cells’ phenotype in patients with chronic hepatitis B in intermittent interferon therapy

Background: To investigate the changes of natural killer (NK) cell phenotype in the interferon alpha (IFN-α) treatment of chronic hepatitis B (CHB) and its relationship with clinical indicators.

Methods: The CHB patients who did not receive any antiviral treatment were set as initial treatment group and used pegylated interferon alpha (PEG-IFN α). Peripheral blood samples were collected at baseline, 4 weeks, and 12-24 weeks. For IFN-treated patients who entered the plateau were set as plateau group, and PEG-IFN α was discontinued and resumed after an interval of 12-24 weeks. Besides, we also enrolled some patients who had received oral drug for more than 6 months as oral drug group without follow up. Peripheral blood was collected during the plateau period, which was set as baseline, and after 12-24 weeks of intermittent treatment, and after 12-24 weeks of additional treatment with PEG-IFN α. The aim of the collection was to detect hepatitis B virus (HBV) virology, serology and biochemical indicators, and the NK cell related phenotype was detected by flow cytometry.

Results: In the plateau group, subgroup of CD69⁺CD56^dim was higher with statistical significance when comparing with the initial treatment group and oral drug group [10.49 (5.27, 19.07) vs 5.03 (3.67, 8.58), Z = -3.11, P = 0.002; 10.49 (5.27, 19.07) vs 4.04 (1.90, 7.26), Z = -5.30, P < 0.001)]. CD57⁺CD56^dim was significantly lower than that in initial treatment group and oral drug group respectively [68.42±10.37 vs 55.85±12.87, t = 5.84, P < 0.001; 76.38±9.49 vs 55.85±12.87, t = -9.65, P < 0.001]. The CD56^brightCD16^- subgroup in the plateau group was higher with statistical significance compared with initial treatment group and oral drug group respectively [11.64 (6.05, 19.61) vs 3.58 (1.94, 5.60), Z = -6.35, P < 0.001; 11.64 (6.05, 19.61) vs 2.37 (1.70, 4.30), Z = -7.74, P < 0.001)]. CD57⁺CD56^dim in the plateau group had a significant higher percentage than that at baseline after IFN discontinuation for 12-24 weeks (55.85±12.87 vs 65.95±12.94, t = -2.78, P = 0.011).

Conclusion: During the long-term treatment of IFN, the killer subgroup of NK cells is continuously depleted, leading to the differentiation of the regulatory subgroup into the killer subgroup. In the killing subgroup, although the number is continuously depleted, the activity of the subgroup is continuously increased. In the plateau phase, after stopping IFN for a period of time, the number of NK cell subsets would gradually recover, but was still lower than that in the initial treatment group.

Introduction

At present, about 257 million people are suffered from HBV infection and according to a survey in 2015, there was a number of 887 thousand deaths happened because of HBV infection-related diseases, including liver cirrhosis and hepatocellular carcinoma (HCC), which comprised about 52% and 38% respectively (1). It is of great necessity for CHB patients to receive timely therapy because of the huge threat and damage brought by this disease. One method with great effectiveness to decrease the risk of HCC is eliminating hepatitis B surface antigen (HBsAg), which is also an indicator attached with great importance to test the long-term prognosis of CHB patients, as well a key result of functional cure (2, 3). Yeo et al. found in a recent meta-analysis that in CHB patients without any antiviral treatments, the disappearance rate of HBsAg was only 1.02% yearly. Based on the above researches, antiviral treatment is considered to be necessary for CHB patients (4).

The recommended antiviral drugs in guidelines are nucleoside (nucleotide) analogues (NAs) and IFN-α. In the researches we have conducted before, the disappearance rate of HBsAg could maintain at 15% in CHB patients treated by PEG-IFN α combined therapy or extended therapy, which was better than using NAs alone (5). However, in the process of HBsAg elimination, it is not achieved easily through one-time combined therapy or extended therapy, but through multiple stages, which is called intermittent therapy. When received long-term IFN treatment, some patients’ HBsAg decline level may come to a plateau, which is defined as HBsAg level decreases < 0.5lg IU/ml compared to last detection. Even continuing with previous IFN treatment in plateau period, it is not easy to achieve sustained virological response for patients. Meanwhile, it is also recommended in guidelines that if the decrease level of HBsAg < 1lg IU/ml after 24-week IFN therapy, the antiviral therapy should be replaced by NAs (6, 7). Therefore, for patients stagging in plateau period, we conducted intermittent therapy for them. About 20% of the patients achieved HBsAg disappearance through this mode and no HBsAg disappearance happened in the patients who stopped interferon in the plateau period and did not receive interferon re-treatment (8). This indicates that interferon intermittent therapy has an ideal outlook that can improve the HBsAg conversion rate in patients with CHB. However, the molecular mechanism of intermittent therapy and the causes of the plateau need to be further explored.

NK cells can be defined as an crucial component of antiviral immune response and can eliminate infected cells through cytotoxicity or other mechanisms (9). The role of NK cells in chronic HBV infection has also been reported, saying that HBV infection may alter the activation state of NK cells and the expression of relevant receptors on the cell surface (10). A research about CHB patients’ cessation of long-term nucleoside analogue therapy showed that HBsAg clearance was closely related to NK cells’ phenotype and function (11). In patients treated with IFN, long-term exposure to IFN-α can increase the expression level of STAT1, promote its phosphorylation and activation, and lead to phenotypic changes in NK cells and increased cytotoxicity (12, 13). In CHB patients who gained functional cure through IFN therapy, dynamic changes of NK cells were also associated with HBsAg disappearance (14). In line with the above studies, we believe that the changes and variety of NK cell phenotype during intermittent treatment are worth exploring.

Materials and methods

Patients

Patients diagnosed as CHB by Hepatology Center of Beijing Ditan Hospital from November 2021 to August 2022 were enrolled as subjects and were divided into three subgroups: initial treatment group, Plateau group, and oral drug group. CHB was defined as HBsAg positive ≥ 24 weeks, with or without hepatitis B e antigen (HBeAg) positive, and abnormal ALT (> 120U/L) more than 12 weeks. Patients who had never received any treatment before and began to use IFN at the first time were initial treatment group; who had received first-line oral dug more than 6 months were oral drug group; and who had used IFN for a period then the level of HBsAg decreased < 0.5lg IU/ml were plateau group. Exclusion criteria: 1) combined-infection with other viral, such as hepatitis C virus (HCV), hepatitis D virus (HDV), hepatitis E virus (15), etc.; 2) long-term use of immunosuppressive drugs or drugs that can easily cause liver damage; 3) other diseases which are liver-related, such as alcoholic hepatitis, autoimmune hepatitis, metabolic liver disease, cirrhosis, liver tumors, etc.; 4) mental illness, such as depression; 5) serious cardiovascular and cerebrovascular diseases or other systemic diseases with greater harm.

The oral drug group was set up to make a cross-sectional comparison with the initial treatment group and the plateau group, aiming to explore the regulatory effects of oral drug and PEG-IFN α treatment on NK cells. Meanwhile, the results also showed that the percentages of NK cell modulation subsets and killing subsets did not change significantly after oral drug treatment compared with the initial treatment group. To further investigate the regulation of NK cell subsets by oral medication, regular follow-up should be made. However, this study mainly discussed the changes of NK cell subgroup during interferon treatment, so the dynamic changes during follow up in oral group was not included in the study.

Setting up corresponding control group (IFN treatment continued after HBsAg plateau) can better reflect the advantages of intermittent therapy and the relationship between NK cells and treatment strategy. However, according to the Chinese Guidelines for the Prevention and Treatment of Chronic Hepatitis B (2019 edition) (1), IFN should be discontinued after 24 weeks of PEG-IFN α treatment when HBsAg drops to < 1lgIU/ml. Therefore, in this study, we did not establish such a control group.

This was a prospective study approved by the Ethics Committee of Beijing Ditan Hospital (Jing Di Lun Ke Zi 2018 no. 023-01), with registration of Clinical Trial (NCT04028856). All subjects have signed informed consent before enrollment.

Sample collection

In the initial treatment group, patients began to receive subcutaneous injection of PEG-IFN α-2a 180 μg weekly, combined with first-line antiviral drugs (entecavir [ETV] 0.5 mg/d or tenofovir disoproxil fumarate [TDF] 300 mg/d or tenofovir alafenamide fumarate [TAF] 25 mg/d) according to their clinical characteristic and personal willing. The beginning time of IFN-α was set as baseline and the 4^th week and the 12rd to 24^th week were follow-up points. The plateau group was based on interferon discontinuation at baseline and followed up 12 to 24 weeks after discontinuation and 12 to 24 weeks after re-introduction. During the intermittent, first-line antiviral drugs (ETV 0.5 mg/d or TDF 300 mg/d or tenofovir alafenamide fumarate [TAF] 25 mg/d) were applied to maintain antiviral effect. In the oral drug group, baseline was set as the time of enrollment and no need to follow up. At baseline and each follow-up time point, we used two EDTA purple tubes with a capacity of 9 ml respectively to collect peripheral venous blood to test clinical indicators such as HBsAg, HBeAg, HBV DNA and liver function. Peripheral blood mononuclear cell (PBMC) determination was extracted within 4 hours of peripheral blood collection for subsequent staining and flow cytometry. The process of enrollment and detection is shown in Figure 1.

FIGURE 1

Figure 1 Procession of enrollment.

Peripheral blood NK cell phenotype

The PBMC was extracted and resuspended with phosphate buffered saline (PBS). Anti-human antibodies CD3/CD19-Fluorescein Isothiocyanate (FITC), CD14-phycoerythrin (PE) anti-human antibody, CD16-peridinin green protein (PerCP) anti-human antibody, CD56-Brilliant Violet 510 (BV510) anti-human antibody, CD57-BV421 anti-human antibody, CD69-allophycocyanin (APC) anti-human antibody, TIGIT-PE anti-human antibody, PD-1-APC anti-human antibody were added to the 100μl PBMC cell suspension sequently according to instructions. After full vortex mixing, leave samples avoid light at room temperature for 15-20min to dye. After staining, 2ml PBS was added, and after 1200g×5min centrifugation, the supernatant was discarded, and 200μl PBS was added to homogenize the cell mass at the bottom of the tube. Canto flow cytometry was used for detection. Voltage and fluorescence compensation were adjusted to the optimum, cells were collected, and data were derived for ringgate analysis using Flowjo software. The strategy of subgroup gate is shown in Figure 2.

FIGURE 2

Figure 2 Strategy of subgroup gate and analyzation on FlowJo software. (A) mononuclear cells were separated according to side scatter and forward scatter. (B) We draw the gate of NK cells based on CD3/CD19-FITC and CD14-PE. (C) CD56^dimCD16⁺ and CD56^brightCD16^- were separated by CD16-7-AAD and CD56-BV510. (D, E) CD69⁺CD56^dim, CD57⁺CD56^dim, TIGIT⁺CD56^dim, PD-1⁺CD56^dim were delineated by TIGIT-PE-Cy7, PD-1-APC, CD69-APC-Cy7 and CD57-BV421. (F, G) CD69⁺CD56^bright, CD57⁺CD56^bright, TIGIT⁺CD56^bright, PD-1⁺CD56^bright were delineated by TIGIT-PE-Cy7, PD-1-APC, CD69-APC-Cy7 and CD57-BV421.

Detection of clinical indicators

HBsAg and HBeAg were detected by chemiluminescent particle method (Abbott Diagnostics, Abbott Park, IL, USA). If the concentration of HBsAg was larger than 250U/ml, the sample was diluted to 1:500 and the specific concentration was calculated. Real-time quantitative polymerase chain reaction (PCR) was used to detect HBV DNA concentration in serum (Piji Co, Ltd, Shenzhen, China). ALT an AST were detected by Wako Pure Chemical Industries, Ltd., Japan.). All clinical indicators were tested by Ditan Hospital Inspection Center.

Statistical analysis

All data were analyzed by SPSS25.0 (IBM Corporation, Chicago, IL, USA). The measurement data were first tested by Shapiro-Wilktest for normality. Those meeting the normality test were represented by mean ± standard deviation, while those not meeting the normality distribution were represented by median (Q1, Q3). Data were compared between groups by t test, Wilcoxon test or Mann-Whitney test. Linear regression was used to analyze the correlation between subsets of NK cells and clinical indicators (ALT, AST, HBsAg, HBsAg, HBV DNA). If P < 0.05, it was considered statistically significant. For repeated measurements, α segmentation method was used, and we set P < 0.017 as significant statistically.

Result

Baseline clinical features and NK cell phenotype of patients

176 patients with CHB were enrolled totally, including 51 in the initial treatment group, 50 in the plateau group and 75 in the oral drug group. The mean age was 34.24 (31.22, 41.16) years in initial treatment group, 34.24 (31.22, 41.16) years in plateau group, 48.00 (41.13, 58.01) in oral drug group. Between initial treatment group and oral drug group, CD56^dimCD16⁺ subgroup [80.90 (69.41, 86.40) vs 79.30 (66.70, 84.82), Z = -1.03, P = 0.305] and CD56^brightCD16^- subgroup [3.58 (1.94, 5.60) vs 2.37 (1.70, 4.30), Z = 11.78, P = 0.075)] had no significant differences, but when compared with the plateau group, the result was significantly different [CD56^dimCD16⁺: 80.90 (69.41, 86.40) vs 46.51±18.51, Z = -7.08, P < 0.001 (initial treatment group vs plateau group); 79.30 (66.70, 84.82) vs 46.51±18.51, Z = -6.44, P < 0.001 (oral drug group vs plateau group); CD56^bightCD16^-: 3.58 (1.94, 5.60) vs 11.64 (6.05, 19.61), Z = -6.35, P < 0.001 (initial treatment group vs plateau group); 2.37 (1.70, 4.30) vs 11.64 (6.05, 19.61), Z = -7.74, P < 0.001 (oral drug group vs plateau group)]. When comparing the subgroup of CD69⁺CD56^dim in plateau group, initial treatment group and oral drug group, the former was significantly higher than the two others [10.49 (5.27, 19.07) vs 5.03 (3.67, 8.58), Z = -3.11, P = 0.002; 10.49 (5.27, 19.07) vs 4.04 (1.90, 7.26), Z = -5.30, P < 0.001], while CD57⁺CD56^dim was significantly lower than that in initial treatment group and oral drug group [68.42±10.37 vs 55.85±12.87, t = 5.84, P < 0.001; 76.38±9.49 vs 55.85±12.87, t = -9.65, P < 0.001]. The expression of CD56^brightCD16^- in plateau group was significantly higher than that in initial treatment group and oral administration group [11.64 (6.05, 19.61) vs 3.58 (1.94, 5.60), Z = -6.35, P < 0.001; 11.64 (6.05, 19.61) vs 2.37 (1.70, 4.30), Z = -7.74, P < 0.001]. The baseline characteristic was shown in Table 1.

TABLE 1

Table 1 Characteristics of initial treatment group, plateau group and oral drug group at baseline.

Changes of NK cell phenotype during treatment

In the initial treatment group, CD56^dimCD16⁺ subgroup, CD57⁺CD56^dim and TIGIT⁺CD56^dim all decreased gradually with the extension of treatment time, and the differences were statistically significant compared with baseline, respectively [80.90 (69.41, 86.40) vs 51.18 (34.34, 60.00). Z = -3.81, P < 0.001; 68.42±10.37 vs 57.14±10.92, t = 3.74, P = 0.001; 49.94±21.19 vs 30.04±14.22, t = 3.29, P = 0.004]. The expression of CD56^brightCD16^- subgroup increased with the extension of treatment time, and the difference was statistically significant compared with baseline [3.58 (1.94,5.60 vs 10.70±5.95, Z = -3.17, P = 0.002].

As for plateau group, CD57⁺CD56^dim expression increased significantly higher after interferon discontinuation for 12-24 weeks compared to baseline (55.85±12.87 vs 65.95±12.94, t = -2.78, P = 0.011). There was no significant difference between baseline and untreated group (65.95±12.94 vs 68.42±10.37, t = 1.12, P = 0.266). The dynamic changes of NK cells’ subsets were shown in Table 2 and Figure 3.

TABLE 2

Table 2 Comparison of initial treatment group and plateau group during follow up.

FIGURE 3

Figure 3 Dynamic changes of NK cell subgroups with follow-up time. (A) changes of CD56^dimCD16⁺ (%) during follow up. (B) changes of CD69⁺CD56^dim (%) during follow up. (C) changes of CD57⁺CD56^dim (%) during follow up. (D) changes of TIGIT⁺CD56^dim (%) during follow up. (E) changes of PD-1⁺CD56^dim (%) during follow up. (F) changes of CD56^brightCD16- (%) during follow up. (G) changes of CD69⁺CD56^bright (%) during follow up. (H) changes of CD57⁺CD56^bright (%) during follow up. (I) changes of TIGIT⁺CD56^bright (%) during follow up. (J) changes of PD-1⁺CD56^bright (%) during follow up.

Correlation between NK phenotype and clinical indicators

In the initial treatment group, HBV DNA was positively correlated with CD69⁺CD56^dim (β = -0.35, t = -2.27, P = 0.029) and on the other hand, had negative correlation with CD56^bright CD16^- (β = 0.43, t = 2.15, P = 0.038), as shown in Table 3.

TABLE 3

Table 3 Correlation between NK phenotype and clinical indicators.

Discussion

In the process of antiviral treatment for CHB, the therapeutic effect is closely related to the virus type, treatment strategy and immune status (16). During the use of IFN, our previous research found that 75% of the disappearance of HBsAg occurred after 48 weeks, and prolonged treatment was helpful for the disappearance of HBsAg and maintenance of antiviral effect (17). However, not all patients can obtain the ideal effect through prolonged treatment, and the decline of HBsAg in some patients stagnates with the extension of treatment time. Based on this phenomenon, we have conducted clinical studies and found that about 20% of patients achieved the disappearance of surface antigens through the intermittent treatment mode of initial - intermittent - retreat, which proved the effectiveness of this strategy (8). But the molecular mechanisms behind intermittent therapy, and why platform of HBsAg level occurs, remain to be explored. In this study, by observing the changes of NK cell-related phenotypes in patients at different treatment stages in different times, we explored the molecular mechanism of the emergence of the plateau, providing a theoretical basis for intermittent therapy.

NK cells, as a component of innate immune cells with significant importance in the human body, and play a role in eliminating viruses through cytotoxicity or secretion of cytokines which can induce inflammation reaction (18). Chronic HBV infection results in decreased NK cell count and function. IFN, as an antiviral drug recommended by the guidelines, induces ISG transcription through the JAK/STAT pathway and targets to interfere with different stages of viral replication, including virus invasion, uncoating, gene recombination, and assembly machine release, acting as a resistance power in viral infection (15, 19–21). Interferon has been reported to significantly amplify CD56^brightCD16^- cells and promote the activation of CD56^dimCD16⁺ cells (22). CD56^dimCD16⁺ and CD56^brightCD16^- are the main subgroups of NK cells, and CD56^dimCD16⁺ plays the key role of killing, accounting for about 90% of NK cells, and exerts cytotoxic effect through the secretion of granulozyme and perforin. CD56^brightCD16^- mainly works with regulatory function, accounting for about 10% of the total NK cells, and secretes TNF-α, IFN-γ and other cytokines (23). In this study, in addition to the determination of CD56^brightCD16^- and CD56^brightCD16^- subgroups, we also continued to gate the two subgroups to detect the expressions of CD69, CD57, TIGIT and PD-1 in the two subgroups respectively. CD69 is an activating molecule of NK cells and a killer receptor (24, 25). CD57 is expressed in mature and differentiated NK cells, marking the maturity of NK cells (26). Both TIGIT and PD-1 are co-inhibitory receptors, which are specifically expressed on the surface of NK cells and T cells, playing a co-inhibitory role. Studies have reported that TIGIT acts on liver cytotoxic T lymphocyte (CTL), leading to immune tolerance and making HBV difficult to clear. Blocking TIGIT pathway or inhibiting TIGIT expression can restore immune function (27, 28). In an animal experiment, PD-1 deficient mice had an advantage in liver clearance of adenovirus, but they were also prone to immune damage, which was speculated to be due to the excessive autoimmune reaction caused by PD-1 deficiency (29). Therefore, the moderate expression of TIGIT and PD-1 is also extremely important in innate immunity.

Our research found that patients treated with IFN for a period of time had significant differences in the percentage of CD56^dimCD16⁺, CD69⁺CD56^dim, and CD57⁺CD56^dim compared with the initial treatment group. The expression of CD56^dimCD16⁺ and CD57⁺CD56^dim decreased in patients treated with IFN, indicating that the subgroup which played a killing role was weakened and the number of mature cells decreased after IFN treatment for a period of time. The frequency of CD69⁺CD56^dim increased, indicating that although the killing subsets decreased, the activity of NK cells in the killing subsets increased in patients treated with IFN. Studies have shown that the elevation of transaminase during interferon trial is associated with the upregulation of NKCD69. This study can further confirm that in patients treated with IFN, the killing subgroup CD69⁺CD56^dim is significantly up-regulated, which enhances the killing activity and may cause abnormal transaminase. During the follow-up of patients initially treated with IFN, the frequency of CD56^dimCD16⁺ gradually decreased with the extension of IFN use time, indicating that the killing function of NK cells was gradually weakened with the application of IFN, which may lead to the emergence of a plateau period. At the same time, the frequency of CD56^brightCD16^- increased gradually, because the differentiation direction of NK cells was from regulated subgroup to killing subgroup, that is, from CD56^brightCD16^- to CD56^dimCD16⁺, and finally to exhaustion. Therefore, it can be considered that the change of CD56^brightCD16^- frequency is due to the compensatory increase due to the decrease of CD56^dim.

It has been shown that HBsAg decline of less than 0.5lgIU/ml from baseline after 12 weeks of PEG-IFN treatment is indicative of difficulty in achieving sustained virological remission after cessation of treatment (30). This suggests that if a significant and sustained decline of HBsAg does not occur during treatment, it is difficult to obtain a good follow-up response. Therefore, we took the HBsAg decline range ≤ 0.5lgIU/ml as the standard of the plateau period.

In plateau group, with the extension of IFN discontinuation period, the frequency of NK cell-related subsets had gradually recovered. The frequency of CD57⁺CD56^dim increased significantly after 12-24 weeks of IFN suspension compared to baseline, indicating the maturation of the killing subgroup. Compared with CHB patients who had not received any antiviral drugs (baseline in the initial treatment group), the frequency of CD57⁺CD56^dim returned to the ideal level after 12 to 24 weeks of discontinuation of IFN during the plateau period. However, the frequency of some subgroups is still different from that of untreated patients, which needs to be further discussed with additional follow-up data.

Studies have shown that reducing viral load through antiviral therapy can partially reshape the function of NK cells. Reducing viral load is beneficial to improve NK cell function (31). In pregnant women infected with HBV, antiviral therapy can significantly increase the frequency of NK cells (32). In this study, through multiple linear regression analysis of baseline clinical indicators and NK subpopulation rows, it was found that the HBV DNA level in the initial treatment group was negatively correlated with the frequency of CD69⁺CD56^dim, suggesting that viral load may inhibit the activation of NK cells.

In conclusion, this study increased the difference in the expression of NK cell subsets in patients without any treatment and IFN-treated, and provided part of the theoretical basis for the emergence of a plateau in IFN treatment. From the perspective of NK cells, it provides theoretical support for intermittent treatment of interferon. The results showed that during IFN treatment, the killing subsets of NK cells decreased gradually, the compensatory subsets increased, and the activity of killing subsets increased. After interferon was discontinued, the frequency and function of NK cell subsets gradually recovered. High virus levels affect the function of NK cells and affect the activation of NK cells.

It is recommended according to the guideline that treatment modification should not be considered until the desired results were not achieved after 24 weeks of interferon therapy (1). For the initial treatment group, our follow-up time nodes were 4 weeks and 12-24 weeks, respectively. During the 24 weeks, we will not consider changing the treatment regimen, so no patients from the initial treatment group will enter the platform group. However, with the extension of follow-up time, it is not excluded that some patients in the initial treatment group will enter the platform group due to the stagnation of surface antigen decline. This is also the limitation of this study. We will continue to follow up and focus on those patients who entered the platform group from the initial treatment group.

As a novel serological marker, HBV RNA contains HBV pre-genomic RNA and its shear variants, which can reflect the activity of hepatic cccDNA to a certain extent (33). Therefore, it is also of great significance in reflecting the response to antiviral therapy and predicting relapse after drug withdrawal. However, a number of recent studies have confirmed that HBV RNA cannot be used as an indicator of drug withdrawal in patients with CHB (34, 35). Compared with classical serological indicators such as HBsAg, HBV DNA, ALT, etc., the clinical guiding significance of HBV RNA still needs to be studied.

Interferon-gamma-induced protein10 (IP-10), also known as C-X-C ligand 10 (CXCL10), belongs to the CXC family of chemokines and plays an important role in the pathogenesis of immune diseases and inflammatory diseases. Serum IP-10 expression levels were higher in patients with higher levels of liver inflammation and fibrosis (36). In addition, intrahepatic IP-10 levels were positively correlated with oral efficacy in patients with CHB (37). However, its response to the degree of fibrosis and prediction of antiviral efficacy are also correlated with other clinical indicators, such as ALT, AST, HBV DNA, and HBsAg levels. There is currently a lack of large sample size studies to confirm the relationship between IP-10 and antiviral efficacy. Compared with classical clinical indicators such as HBV DNA, IP-10, as an emerging clinical indicator, needs further research. In summary, we did not conduct correlation analysis of HBV RNA, IP-10 and NK cell phenotypes in this study. However, in subsequent studies, we will include more clinical indicators and more cytokines for analysis.

The analysis of clinical characteristic in plateau group at the beginning use of IFN was in absence. We have studied in our previous article that HBsAg response at 12 weeks and 24 weeks of initial treatment was significantly correlated with the effect of retreatment after plateau. Compared with patients who did not respond to initial treatment, patients who developed an antiviral response early in treatment had a higher rate of response after intermittent treatment during the plateau period. In the platform group, HBsAg level at first use of IFN, early treatment response, HBsAg level at discontinuation of IFN, and duration of IFN use were all significantly correlated with functional recovery by intermittent therapy (8). Moreover, in this study, with the extension of follow-up time, some patients in the initial treatment group will be transferred to the plateau group later, and their data is more comprehensive and representative. We have been working on the follow-up work, and we believe it will be elaborated in a future article.

There are also several limitations in this research, such as small sample size, lack of whole period data from initial treatment to plateau stage. Besides, counting NK cell subsets can more accurately explain the effect of interferon treatment on NK cells. Therefore, more evidence and work are need for the further exploration.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Ethics Committee of Beijing Ditan Hospital (Jing Di Lun Ke Zi 2018 no. 023-01). The patients/participants provided their written informed consent to participate in this study.

Author contributions

ML and YX contributed to study concept and design. MC, SX and LY conducted experiments and collected the data. YLu, GS, SX and LY collected the information of the patients. TJ, WD, SWa, LZ, YLi and YG provided reagents to help the experimental work. YLi analyzed the statistical results. HH, SWu, RL, MX, LH and XC edited the English version. All authors contributed to the article and approved the submitted version.

Funding

High-level Public Health Technical Personnel Training Program of Beijing Municipal Health Commission (2022-3-050). The Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0302 and XXT28). Project Supported by Beijing Science and Technology Commission (Z211100002921059). The Capital Health Research and Development of Special (2022-1-2172). National Science and Technology Major Project of China (2017ZX10201201-001-006, 2017ZX10201201-002-006, 2018ZX10715-005-003-005). Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support (XMLX 202127). National Key R&D Program of China (2022YFC2603505).

Acknowledgments

We thank all patients and staff who participated in the study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer WW declared a shared parent affiliation with the authors XB, SWa, WC, LY, TJ, WD, SWu, RL, YG, GS, MC, HH, MX, XC, LH, YL, LZ, YX, ML to the handling editor at the time of review.

Publisher’s note

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