Background
The combination antiretroviral therapy (cART), also called highly active antiretroviral therapy (HAART), has substantially changed the lives of HIV/AIDS patients [
1]. Although the HAART contains the viral replication in patients with prolonged undetectable plasma viral RNA levels, i.e. viral load < 50 copies/ml (cpm), it does not invariably show immune reconstitution [
2]. Even in patients with naïve T-cell recovery, the restoration of cell number is a gradual process in the setting of complete viral suppression. Immune reconstitution following HAART is characterized by distinct CD4
+ and CD8
+ T cell dynamics, often displaying dichotomist trends according to disease stage [
3,
4]. The dynamics of immune reconstitution under long-term HAART varies among different people and regions, and the mechanisms involved remain unclear. The HIV-1-specific CD4
+ T cell immunity plays a dominant protective role in primary HIV infection [
5]. The thymus output affects the immune reconstitution, the enhanced thymus output could benefit HIV/AIDS patients at late stage [
6]. Counterturn of immunosuppression by HAART leads to exaggerated immune reconstitution inflammatory syndrome (IRIS) which seem to have started prior to treatment. Inflammatory markers, chemokines and cytokines are biological markers of innate and adaptive immune activation, which can be proved to be of clinical value after proper verification [
7]. The naïve CD4
+ cell count is the optimal reference index in prognosis of immune reconstitution [
6]. However, the detection of naïve CD4
+ cell count is not a routine work in most hospitals, especially in China. Therefore, some acceptable and useful predictive markers are needed.
In this study, a total of 280 HIV/AIDS patients in the HIV/AIDS department of the Third People’s Hospital of Kunming from January 2005 to April 2015 with sustained virological suppression were enrolled. The demographic information, clinical data, CD4+ cell counts and CD8+ cell counts under 8-year follow-up were collected for analysis of the predictor of immune reconstitution prognosis in patients.
Methods
Ethics statement
This study was approved by the First Affiliated Hospital of Kunming Medical University, and written informed consents were obtained from all study participants. All experiments were performed in accordance with the approved guidelines and regulations according to the principles expressed in the Declaration of Helsinki, and the experimental protocols were approved by the institutional review boards of Kunming Medical University and Henan University.
Patients and study design
The inclusion criteria were patients underwent HAART over two years, and the viral load was sustaining < 50 cpm after two-year HAART. Enrolled patients were outpatients received HAART over two years and with sustained viral load < 50 cpm in the Department of AIDS in the Third People’s Hospital of Kunming during January 2005 and April 2015. According to the CD4 counts of two-year ART, the patients were subgrouped into immunological non-responders (INRs) (< 200 cells/μl), immunological inadequate responders (IIRs) (201 ~ 500 cells/μl) and immunological responders (IRs) (> 500 cells/μl) according to the CD4 cell count after two-year HAART. The data of all participants excluded all non-compliant patients or patients with history of treatment interruption. The viral loads of all patients were < 50 cpm, and no viral blips were observed in all patients.
Three sexually matched and age-matched groups of patients were selected at regular interval in Excel dataset, and the demographic and clinical information of these patients with follow-up from 0.5 year to 8 years, as well as the CD4 cell count, CD8 cell count, and CD4/CD8 ratio were collected for analysis.
Laboratory measurements
About 5 ml venous blood of each patient was collected in heparin anticoagulation vacuum blood collection tube. The CD4+ and CD8+ T lymphocyte numbers and CD4/CD8 ratio were measured with the MultiTEST IMK Kit (BD) by the single platform on FACSCalibur™ flow cytometry (BD). Viral load was determined by the Virus Load Detector (Siemens).
Statistical analysis
The datasets were established by Microsoft Excel program, and then subjected to SPSS17.0 software for statistical analysis. The numerical data with normal distribution data were expressed as mean ± standard deviation (SD). The total number was analyzed by using the random analysis of the variance. The numerical data were calculated by the χ2 test of the crosstab. The measurement data with skewed distribution was expressed as median (M) and range interquartile (P25, P75). The comparison before and after treatment was performed by the paired rank-sum test, the three groups were compared with a completely random design of the rank-sum test. The P < 0.05 was defined as a statistical significance. Multiple groups with P < 0.05 were subjected to further pairwise comparison; the test level was 0.05/test time. The receiver operating characteristic (ROC) curve was employed to analyze the sensitivity and specificity of predictors associated with the immune reconstitution outcome.
Discussion
In this study, our data showed that the baseline CD4
+ cell count and CD4/CD8 ratio in the IRs were significantly higher than that in the INRs and IIRs (
P < 0.001), while the CD8
+ T-cell count was not significantly different. This indicates the pertinent role of the baseline CD4
+ cell count in immune reconstitution [
5,
6,
8]. The high baseline CD4/CD8 ratio (> 0.5) was associated with immune reconstitution success, which is in accordance with previous reports that the critical role of CD4/CD8 ratio normalization [
9,
10]. Regardless of CD4
+ cell count during HAART treatment, frequent virological monitoring might be necessary to reduce the risk of virological failure [
11].
The CD4
+ cell count in the IRs grew fast than those in the INRs and IIRs groups after HAART (Fig.
1). The growth of CD4 count and CD4/CD8 ratio in IRs were both higher than the other two groups. The growth of CD4
+ cell count and CD4/CD8 ratio in the IRs were significantly higher than those of the INRs and IIRs at 0.5 year, 1 year, 2 years, 3 years and 4 years after HAART. This suggests that slow CD4
+ cell count growth after HAART treatment is prone to cause immune reconstitution failure in patients. The CD4
+ cell count reaches plateau stage one year ahead in INRs, which is a predictive signal of immune non-response and implies timely adjuvant therapy to improve immune response.
It has been shown that low baseline CD4
+ cell count strata entered a low level of plateau, while high baseline CD4
+ cell count entered a high level of plateau [
12]. In this study, among the three groups with baseline CD4
+ cell count ≤100 cells/μl, the CD4
+ cell count growths in IRs at 0.5 year and 1 year after HAART were higher than in INRs and IIRs. It implies that the CD4
+ cell count growth at 0.5 year and 1 year could be the predictors of immune response, which is consistent with previous report [
13]. Furthermore, the linear model regression analysis showed that the slopes of CD4 count growth during 0 to 2 years and 3 ~ 8 years after ART among INRs, IIRs, and IRs were significantly different (Additional file
1: Table S3). It implies that the CD4 count growths among three groups are significantly different. The CD4 count of IRs increased the most during first two years. Although the CD4 counts of INRs and IIRs groups increased relatively slow during first two years, it could be elevated under sustained ART, as we can see of the 3 ~ 8 years data (Additional file
1: Table S3 and Fig.
1), which is in accordant with previous report [
14]. It has been shown that ART drugs are associated with immune dysfunction in HIV-1-infected subjects [
15,
16]. However, as the lack of the cell functional data except for the cell counts, it is hard to interpret the absolute role of CD4 count in immunological reconstitution.
ROC curves showed that the 1 year CD4
+ cell count was of diagnostic ability as predictors of the immune response after treatment. The sensitivity and specificity are superior to the combination of baseline CD4
+ cell count and baseline CD4/CD8 ratio, which was reported unable to be a predictive immune reconstruction of poor indicators [
17]. In addition, the combination of CD4 count and CD4 count growth after one-year HAART is an option in evaluation of clinical prognosis of immune response. These findings contribute to the early prediction of immune response in a timely manner to take adjuvant therapy to improve the immune function of patients.
The limitation of our research is the relative small sample size in certain group of poor immune responders. With the larger sample size, the predictive role of the baseline CD4
+ cell count and CD4/CD8 ratio in immune reconstitution will be more clear, which calls for more research in future. The other limitation is that we do not have the numbers of the subgroups of CD4
+ T-cells. Increasing evidence showed that different subtypes of CD4
+ cells affect the immune reconstitution [
18,
19], and it has been reported that the percentage of baseline naïve CD4
+ T-cells was a better prognostic factor for immune reconstitution under long-term therapy [
6]. In addition, the baseline viral load is associated with the dynamics of immune reconstitution in patients [
20]. The viral load pre-HAART was not analyzed in our work, and this will be considered in further work.
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