Baseline Naive CD4+ T-cell Level Predicting Immune Reconstitution in Treated HIV-infected Late Presenters

HDL-C as a novel predictor of immune reconstitution in people living with HIV: insights from a baseline-to-dynamic change cohort study in China, 2005-2022

Background

High-density lipoprotein cholesterol (HDL-C) is a well-established marker of lipid metabolism and increasingly recognized as an indicator of inflammatory status. This study investigates HDL-C's role as a predictor of immune reconstitution in people living with HIV (PLWH).

Methods

We performed a prospective cohort study of 15,434 PLWH initiating antiretroviral therapy at the Third People's Hospital of Shenzhen, China, between 2005 and 2022. Baseline quartile grouping and Group-Based Trajectory Modeling (GBTM) explored the relationship between HDL-C and immune reconstitution. Restricted cubic spline plots identified nonlinear association.

Results

Over a median follow-up of 17.9 months, 9,609 PLWH achieved the CD4+ T-cell count of 500 cells/μL or higher. Multivariate-adjusted Cox proportional hazards regression model showed that hazard ratios (HR) [95% confidence intervals (CI)] for CD4+ T-cell recovery in Q2, Q3, and Q4 versus Q1 of the HDL-C were 0.94 (95% CI: 0.88-0.99), 0.92 (95% CI: 0.87-0.98), and 0.85 (95% CI: 0.80-0.91), respectively. GBTM identified two HDL-C trajectories: Low-floating and High-floating. Relative to Low-floating, High-floating demonstrated a reduced likelihood of CD4+ T-cell recovery (HR=0.86, 95% CI: 0.82-0.90, p < 0.001). A nonlinear association was observed between HDL-C and the outcome (p for nonlinear association = 0.037, p for overall < 0.001), with a threshold at 1.13 mmol/L. Negative correlations between HDL-C and CD4+ T-cell recovery were observed both below the threshold (HR=0.72, 95% CI: 0.57-0.92) and above the threshold (HR=0.78, 95% CI: 0.69-0.87) (both p < 0.05).

Conclusions

Our study highlights HDL-C's role in immune recovery, suggesting its potential in guiding prevention and treatment strategies for PLWH.

The influence of extrinsic apoptosis gene expression on immunological reconstitution of male ART-treated PLHIV

The primary goal of antiretroviral therapy (ART) is to suppress viral replication to undetectable levels (< 50 copies/mL). Despite achieving complete viral suppression, 10-40% of individuals on ART do not adequately restore their CD4 + T-cell count, being defined as immunological non-responders (INR). Factors such as sex, age at treatment initiation, coinfections, and pre-ART CD4 + T-cell count may influence this insufficient recovery. This impairment can also result from poor production or exacerbated destruction of CD4 + T-cells, particularly through extrinsic pathway-mediated apoptosis involving Fas/FasL and caspase-3. Thus, this study aimed to evaluate the expression profile of extrinsic apoptosis pathway genes (CASP3, FAS, FASLG) in adult male HIV patients on ART. The patients were stratified as immunological responders (n = 25) and immunological non-responders (n = 8) based on the increase and total count of CD4 + T-cells. Significant differences for CASP3 (FC = 1.39, p = 0.047) and FASLG (FC = 1.94, p < 0.0001) gene expressions were identified between IR and INR groups, but not for FAS (FC=-1.2, p = 0.638). This study indicates increased apoptotic pathway gene expression in INR and highlights the influence of cell destruction mechanisms on immunological recovery.

Investigating the Determinants of Mortality before CD4 Count Recovery in a Cohort of Patients Initiated on Antiretroviral Therapy in South Africa Using a Fine and Gray Competing Risks Model

CD4 count recovery is the main goal for an HIV patient who initiated ART. Early ART initiation in HIV patients can help restore immune function more effectively, even when they have reached an advanced stage. Some patients may respond positively to ART and attain CD4 count recovery. Meanwhile, other patients failing to recover their CD4 count due to non-adherence, treatment resistance and virological failure might lead to HIV-related complications and death. The purpose of this study was to find the determinants of death in patients who failed to recover their CD4 count after initiating antiretroviral therapy. The data used in this study was obtained from KwaZulu-Natal, South Africa, where 2528 HIV-infected patients with a baseline CD4 count of <200 cells/mm3 were initiated on ART. We used a Fine-Gray sub-distribution hazard and cumulative incidence function to estimate potential confounding factors of death, where CD4 count recovery was a competing event for failure due to death. Patients who had no tuberculosis were 1.33 times at risk of dying before attaining CD4 count recovery [aSHR 1.33; 95% CI (0.96-1.85)] compared to those who had tuberculosis. Rural patients had a higher risk of not recovering and leading to death [aSHR 1.97; 95% CI (1.57-2.47)] than those from urban areas. The patient's tuberculosis status, viral load, regimen, baseline CD4 count, and location were significant contributors to death before CD4 count recovery. Intervention programs targeting HIV testing in rural areas for early ART initiation and promoting treatment adherence are recommended.

Advances in Mechanism of HIV-1 Immune Reconstitution Failure: Understanding Lymphocyte Subpopulations and Interventions for Immunological Nonresponders

In individuals diagnosed with AIDS, the primary method of sustained suppression of HIV-1 replication is antiretroviral therapy, which systematically increases CD4+ T cell levels and restores immune function. However, there is still a subset of 10-40% of people living with HIV who not only fail to reach normal CD4+ T cell counts but also experience severe immune dysfunction. These individuals are referred to as immunological nonresponders (INRs). INRs have a higher susceptibility to opportunistic infections and non-AIDS-related illnesses, resulting in increased morbidity and mortality rates. Therefore, it is crucial to gain new insights into the primary mechanisms of immune reconstitution failure to enable early and effective treatment for individuals at risk. This review provides an overview of the dynamics of key lymphocyte subpopulations, the main molecular mechanisms of INRs, clinical diagnosis, and intervention strategies during immune reconstitution failure, primarily from a multiomics perspective.

Characteristics of blood immune cell profile and their correlation with disease progression in patients infected with HIV-1

BACKGROUND

Antiretroviral therapy (ART) can reduce viral load in individuals infected with human immunodeficiency virus (HIV); however, some HIV-infected individuals still cannot achieve optimal immune recovery even after ART. Hence, we described the profile of peripheral immune cells and explored the association with disease progression in patients infected with HIV-1.

METHODS

Mass cytometry analysis was used to characterize the circulating immune cells of 20 treatment-naïve (TNs), 20 immunological non-responders (INRs), 20 immunological responders (IRs), and 10 healthy controls (HCs). Correlation analysis was conducted between cell subpopulation percentages and indicators including HIV-1 cell-associated (CA)-RNA, DNA, CD4+ T cell count, and CD4/CD8 ratio.

RESULTS

Global activation, immunosenescence, and exhaustion phenotypes were observed in myeloid cells and T cells from individuals with HIV-1 infection. We also found that specific subsets or clusters of myeloid, CD4+ T, and CD8+ T cells were significantly lost or increased in TN individuals, which could be partially restored after receiving ART. The percentages of several subpopulations correlated with HIV-1 CA-RNA, DNA, CD4+ T cell count, and CD4/CD8 ratio, suggesting that changes in immune cell composition were associated with therapeutic efficacy.

CONCLUSION

These data provide a complete profile of immune cell subpopulations or clusters that are associated with disease progression during chronic HIV-1 infection, which will improve understanding regarding the mechanism of incomplete immune recovery in INRs.

Thymic Exhaustion and Increased Immune Activation Are the Main Mechanisms Involved in Impaired Immunological Recovery of HIV-Positive Patients under ART

Decades of studies in antiretroviral therapy (ART) have passed, and the mechanisms that determine impaired immunological recovery in HIV-positive patients receiving ART have not been completely elucidated yet. Thus, T-lymphocytes immunophenotyping and cytokines levels were analyzed in 44 ART-treated HIV-positive patients who had a prolonged undetectable plasma viral load. The patients were classified as immunological non-responders (INR = 13) and immunological responders (IR = 31), according to their CD4+ T cell levels. Evaluating pre-CD4+ levels, we observed a statistically significant trend between lower CD4+ T cell levels and INR status (Z = 3.486, p < 0.001), and during 18 months of ART, the CD4+ T cell levels maintained statistical differences between the INR and IR groups (WTS = 37.252, p < 0.001). Furthermore, the INRs were associated with an elevated age at ART start; a lower pre-treatment CD4+ T cell count and a percentage that remained low even after 18 months of ART; lower levels of recent thymic emigrant (RTE) CD4+ T cell (CD45RA + CD31+) and a naïve CD4+ T cell (CD45RA + CD62L+); higher levels of central memory CD4+ T cells (CD45RA-CD62L+); and higher immune activation by CD4+ expressing HLA-DR+ or both (HLA-DR+ and CD38+) when compared with IRs. Our study demonstrates that thymic exhaustion and increased immune activation are two mechanisms substantially implicated in the impaired immune recovery of ART-treated HIV patients.

Suboptimal Immune Recovery and Associated Factors Among People Living with HIV/AIDS on Second-line Antiretroviral Therapy in Central China: A Retrospective Cohort Study

BACKGROUND

The introduction and scale-up of antiretroviral therapy (ART) have contributed to significantly improved patients with acquired immune deficiency syndrome (AIDS) quality of life and prolongs their survival. This has occurred by suppressing viral replication and recovering the CD4 cell count. However, some patients do not normalize their CD4 cell count, despite suppression of the viral load (VL). Patients with suboptimal immune recovery (SIR), as defined by a viral load(VL) < 400 copies/ml with a CD4 cell count of<200cells/μl, after ART initiation, exhibit severe immune dysfunction and have a higher risk of AIDS and non-AIDS events. In recent years, People living with HIV/AIDS (PLWHA) with first-line ART failure began to gradually switch to second-line ART. This study aimed to examine the prevalence and factors affecting SIR among people living with HIV/AIDS (PLWHA) who switch to second-line ART in rural China.

METHODS

A 1-year retrospective cohort study was conducted among PLWHA who switched to second-line ART between January 2009 and December 2018. All patients with a viral load(VL) < 400 copies/ml after 1 year of second-line ART were included. SIR was defined as a CD4 cell count <200 cells/μl and a viral load(VL) <400 copies/ml after 1 year of second-line ART. The data collected from medical records were analyzed by univariate and multivariate analyses.

RESULTS

A total of 5294 PLWHA met the inclusion criteria, 24 died, and 1152 were lost to follow-up after 1 year of second-line ART. Among 4118 PLWHA who were followed up, 3039 with a viral load(VL) <400 copies/ml had their data analyzed, and the prevalence of SIR was 13.1%. The patients' mean age at recruitment was 47.6±8.1 years and 45.3% were men. A total of 30.7% of patients were HIV-positive for >8 years and 88.2% were receiving ART before starting second-line ART for >3 years. The mean CD4 cell count was 354.8±238.2 cells/μl. A multivariable analysis showed that male sex, single status (unmarried or divorced), and a low CD4 cell count were risk factors for SIR among PLWHA with second-line ART.

CONCLUSIONS

The prevalence of SIR among PLWHA who switched to second-line ART in this retrospective cohort study is lower than that in most other studies. Several factors associated with SIR include male sex, marital status, and CD4 cell count levels in PLWHA. This article is protected by copyright. All rights reserved.

Construction of Machine Learning Models to Predict Changes in Immune Function Using Clinical Monitoring Indices in HIV/AIDS Patients After 9.9-Years of Antiretroviral Therapy in Yunnan, China

Objective

To investigate trends in clinical monitoring indices in HIV/AIDS patients receiving antiretroviral therapy (ART) at baseline and after treatment in Yunnan Province, China and to provide the basis for guiding clinical treatment to obtain superior clinical outcomes.

Methods

A total of 96 HIV/AIDS patients who had started and persisted in highly active ART treatment from September 2009 to September 2019 were selected. Of these, 54 had a CD4 cell count &lt; 200 cells/μl while 42 had a CD4 cell count ≥ 200 cells/μl. Routine blood tests, liver and renal function, and lipid levels were measured before and 3, 6, 9, and 12 months after treatment. Lymphocyte subset counts and viral load were measured once per year, and recorded for analysis and evaluation. Three machine learning models (support vector machine [SVM], random forest [RF], and multi-layer perceptron [MLP]) were constructed that used the clinical indicators above as parameters. Baseline and follow-up results of routine blood and organ function tests were used to analyze and predict CD4+ T cell data after treatment during long-term follow-up. Predictions of the three models were preliminarily evaluated.

Results

There were no statistical differences in gender, age, or HIV transmission route in either patient group. Married individuals were substantially more likely to have &lt;200 CD4+ cells/μl. There was a strong positive correlation between ALT and AST (r = 0.587) and a positive correlation between CD4 cell count and platelet count (r = 0.347). Platelet count was negatively correlated with ALT (r = -0.229), AST (r = -0.251), and positively correlated with WBCs (r = 0.280). Compared with the CD4 cell count &lt; 200 cells/μl group, all three machine learning models exhibited a better predictive capability than for patients with a CD4 cell count ≥ 200 cells/μl. Of all indicators, the three models best predicted the CD4/CD8 ratio, with results that were highly consistent. In patients with a CD4 cell count &lt; 200 cells/μl, the SVM model had the best performance for predicting the CD4/CD8 ratio, while the CD4/CD8 ratio was best predicted by the RF model in patients with a CD4 cell count ≥ 200 cells/μl.

Conclusion

By the incorporation of clinical indicators in SVM, RF, and MLP machine learning models, the immune function and recuperation of HIV/AIDS patients can be predicted and evaluated, thereby better guiding clinical treatment.

CD56dim NK Cell is an Important Factor in T Cell Depletion of cART-Treated AIDS Patients

Purpose

To investigate factors involved in T-cell depletion in combination antiretroviral therapy (cART)-treated human immunodeficiency virus 1 (HIV-1)-positive patients.

Patients and Methods

29 HIV-1-positive patients were enrolled. The CD4+, CD8+ T cell subsets and CD56^dim NK cells were detected by flow cytometry. The concentrations of cytokines were measured by enzyme-linked immunosorbent assay. Extraction, amplification, and viral load quantification of specimens were performed using the Roche Cobas Ampliprep/Cobas TaqMan HIV-1 test.

Results

Compared with IR group, the total number of red blood cells (RBCs) and lymphocytes (LCs) in INR group was significantly reduced, and there was a significant positive correlation between the number of RBCs and that of LCs. The overall production rates of T cells-related cytokines were lower in INR group. However, the cell-surface expression of programmed death-1 (PD-1) on CD4+ T and CD8+ T cells were markedly elevated in INR group. Moreover, it was found that the proportion and the killing ability of CD56^dim NK cells significantly increased in INR patients, and significantly correlated with apoptosis of T lymphocytes.

Conclusion

A poor immune reconstitution in HIV-positive patients might result from multiple factors, including bone marrow suppression, high PD-1 expression on the surface of CD4+ T cells, and over-activation of T and NK cells. Besides, the activity of NK cells and RBCs count might be important auxiliary indicators for immune reconstitution and provided a reliable guidance for developing strategies to improve immune reconstitution.

Naïve CD4+ cell counts significantly decay and high HIV RNA levels contribute to immunological progression in long-term non-progressors infected with HIV by blood products: a cohort study

BACKGROUND

Some long-term non-progressors (LTNPs) have decreasing CD4⁺ T cell counts and progress to AIDS. Exploring which subsets of CD4⁺ T cell decreasing and the determinants associated with the decay in these patients will improve disease progression surveillance and provide further understanding of HIV pathogenesis.

METHODS

Twenty-five LTNPs infected with HIV by blood products were classified as decreased (DG) if their CD4⁺ cell count dropped to < 400 cells/μL during follow-up or as non-decreased (non-DG) if their CD4⁺ cell count was ≥400 cells/μL. Laboratory and clinical assessments were conducted at 6 consecutive visits to identify DG characteristics.

RESULTS

The LTNPs were infected with HIV for 12 (IQR: 11.5-14) years, and 23 were classified as the B' subtype. Six individuals lost LTNP status 14.5 (IQR: 12.5-17.5) years after infection (DG), and the CD4⁺ T cell count decreased to 237 (IQR: 213-320) cells/μL at the latest visit. The naïve CD4⁺ T cell count decrease was greater than that of memory CD4⁺ T cells [- 128 (IQR: - 196, - 107) vs - 64 (IQR: - 182, - 25) cells/μL)]. Nineteen individuals retained LTNP status (non-DG). At enrolment, the viral load (VL) level (p = 0.03) and CD8⁺CD38⁺ percentage (p = 0.03) were higher in DG than non-DG individuals. During follow-up, viral load and CD8⁺CD38⁺ percentage were significantly increased and negatively associated with CD4⁺ cell count [(r = - 0.529, p = 0.008), (r = - 0.476, p = 0.019), respectively]. However, the CD8⁺CD28⁺ percentage and B cell count dropped in DG and were positively correlated with CD4⁺ T cell count [(r = 0.448, p = 0.028), (r = 0.785, p < 0.001)].

CONCLUSION

Immunological progression was mainly characterized by the decrease of naïve CD4⁺ T cell in LTNPs infected with HIV by blood products and it may be associated with high HIV RNA levels.

Survival, CD4 T lymphocyte count recovery and immune reconstitution pattern during the first-line combination antiretroviral therapy in patients with HIV-1 infection in Mongolia

Mongolia has a low incidence of human immunodeficiency virus (HIV) infection, with 281 cases reported at the end of 2019 and an estimated incidence rate of <0.01 cases per 1000 population.

However, no study has analyzed the association between antiretroviral therapy (ART) outcomes and pretreatment characteristics of patients with HIV/acquired immunodeficiency syndrome (AIDS) in Mongolia. This retrospective study aimed to determine the survival, CD4 T cell recovery, and immune reconstitution pattern during ART in HIV patients and to determine baseline patient characteristics associated with ART outcomes. Based on three different World Health Organization (WHO) guidelines, we analyzed the 3-year observation data of 166 patients with HIV/AIDS who received treatment between 2010 and 2017. An increase of >50 cells/μL indicated CD4 T cell count recovery, and a cell count of ≥500 cells/μL in patients with a baseline cell count of <500 cells/μL indicated immune reconstitution. In this study, the 3- and 1-year mortality rates were 5.4% (survival rate: 94.6%) and 3.6%, respectively. A total of 83% of deaths that occurred in the observation time occurred within the first 3 months. The CD4 T cell count recovery rates at 3, 12, and 36 months were 62.7%, 80.7%, and 89.2%, respectively. The CD4 T cell count increased to >500 cells/μL in 95 of 145 (65.5%) patients with a baseline cell count of <500 cells/μL after 36 months of ART. The baseline CD4 T cell count was found to be a sensitive indicator for immune reconstitution. An advanced pretreatment clinical stage of HIV infection (as classified by the WHO classification), a low CD4 T cell count in the peripheral blood, and a high viral load before the initiation of the first-line ART accurately predicted survival, CD4 T cell count recovery, and immune reconstitution in Mongolian patients with HIV/AIDS.

Naïve/Effector CD4 T cell ratio as a useful predictive marker of immune reconstitution in late presenter HIV patients: A multicenter study

A significant proportion of HIV-infected patients experiencing a late diagnosis highlights the need to define immunological protocols able to help the clinicians in identifying patients at higher risk for immunological failure. The aim of the study was to evaluate the feasibility of easy cytometric tests in defining the effect of antiretroviral treatment (cART) on immunological homeostasis and in identifying predictive markers of early immune recovery. Chronic HIV infected patients (n = 202) were enrolled in a prospective multicentric study, and their immunological profile was studied before (w0) and after 24 weeks (w24) of antiretroviral treatment (cART) using a standardized flow cytometric panel. Based on CD4 T cell count before treatment, patients were divided in late (LP: CD4 <350/mmc), intermediate (IP: 350/mmc<CD4<500/mmc) and early (EP: CD4 >500/mmc) presenters. In all groups, cART introduction increased CD4 and CD4/CD8 T cell ratio, naïve T cell (CD4 and CD8) and CD127-expressing CD4 T cells. In parallel, cART significantly reduced effector memory T cells (CD4 and CD8) and T cell activation (CD38+CD8 and CD95+CD4 T cells). Moreover, the frequency of Naïve and Effector CD4 T cells before treatment correlated with several immune parameters key associated with the pathogenesis of HIV, thus mirroring the health of immune system. Interestingly, we identified the Naïve/Effector CD4 T cell ratio (N/EM) at w0 as a marker able to predict early immune recovery. Specifically, in LP, N/EM ratio was significantly higher in immunological responder patients (CD4>500/mmc at w24) when compared to immunological non responder (CD4 T cells <500/mmc at w24). Finally, a multivariate analysis indicates that after 24w patients with N/EM ratio higher than 1.86 at w0 recovered 96 CD4 T cells more than those with N/EM ratio lower than 0.46. Altogether, our data define an easy protocol able to define reliable immunological markers useful for the characterization of immune profile in viremic HIV patients and identify the naïve/effector CD4 T cell ratio as a new tool able to predict an early immune reconstitution potential.

The predictive role of CD4+ cell count and CD4/CD8 ratio in immune reconstitution outcome among HIV/AIDS patients receiving antiretroviral therapy: an eight-year observation in China

BACKGROUND

The immune reconstitution after initiation of highly active antiretroviral therapy (HAART) among HIV-infected individuals substantially affects patients' prognosis. However, the dynamic characteristics and predictors of reconstitution outcome remain unclear.

METHODS

In this study, the HIV/AIDS patients with sustained virological suppression (viral load < 50 copies/ml) after HAART were enrolled. The patients were subgrouped into immunological non-responders (INRs) (< 200 cells/μl), immunological inadequate responders (IIRs) (200 ~ 500 cells/μl) and immunological responders (IRs) (> 500 cells/μl) according to the CD4 cell count after two-year HAART. The immune reconstitution data based on the CD4⁺ and CD8⁺ cell counts with 8-year follow-up were collected for analysis.

RESULTS

The CD4⁺ cell counts in the immunological responders (IRs) were significantly higher than in the immunological non-responders (INRs) and immunological inadequate responders (IIRs) (P <  0.001). The overall CD4⁺ cell count and CD4/CD8 ratio in the IRs increased faster than the IIRs and INRs. The CD4⁺ cell count growth at 0.5 year and 1 year after HAART in the IRs was significantly higher than the IIRs and INRs. The ROC curve demonstrated that 1 year CD4⁺ cell count had the highest predictive value, with the best cut-off value of 188 cells/μl, the predictive sensitivity was 81.0%, the predictive specificity was 85.2%, false positive rate was 14.8%, false negative rate was 19.0%, positive predictive value (IR) was 63.0%, negative predictive value (INR) was 93.5%.

CONCLUSIONS

Taken together, our findings suggest that early initiation of HAART can reduce the immune reconstitution failure. The combination of baseline CD4⁺ cell count and baseline CD4/CD8 ratio may serve as a valid predictor of immune reconstitution prognosis after HAART.

Late Onset of Antiretroviral Therapy in Adults Living with HIV in an Urban Area in Brazil: Prevalence and Risk Factors

Introduction

Highly active antiretroviral therapy has been available since 1996. Early initiation of antiretroviral therapy (ART) leads to improved therapeutic response and reduced HIV transmission. However, a significant number of people living with HIV (PLHIV) still start treatment late.

Objective

This study aimed to analyze characteristics and factors associated with late initiation of ART among HIV-infected treatment-naïve patients.

Methods

This cross-sectional study included PLHIV older than 17 years who initiated ART at two public health facilities from 2009 to 2012, in a city located in Midwestern Brazil. Pregnant women were excluded. Data were collected from medical records, antiviral dispensing forms, and the Logistics Control of Medications System (SICLOM) of the Brazilian Ministry of Health. Late initiation of ART was defined as CD4+ cell count < 200 cells/mm³ or presence of AIDS-defining illness. Uni- and multivariate analysis were performed to evaluate associated factors for late ARV using SPSS®, version 21. The significance level was set at p<0.05.

Results

1,141 individuals were included, with a median age of 41 years, and 69.1% were male. The prevalence of late initiation of ART was 55.8% (95%CI: 52.9-58.7). The more common opportunistic infections at ART initiation were pneumocystosis, cerebral toxoplasmosis, tuberculosis, and histoplasmosis. Overall, 38.8% of patients had HIV viral load equal to or greater than 100,000 copies/mL. Late onset of ART was associated with higher mortality. After logistic regression, factors shown to be associated with late initiation of ARV were low education level, sexual orientation, high baseline viral load, place of residence outside metropolitan area, and concomitant infection with hepatitis B virus.

Conclusion

These results revealed the need to increase early treatment of HIV infection, focusing especially on groups of people who are more socially vulnerable or have lower self-perceived risk.

Barriers to HIV remission research in low- and middle-income countries

INTRODUCTION

HIV eradication and remission research has largely taken place in high-income countries. In low- and middle-income countries (LMIC), there may be factors that have a substantial impact on the size of the latent HIV reservoir and the immunological response to infection. If a curative strategy is to be available to all HIV-infected individuals, these factors must be understood.

METHODS

We use a scoping review to examine the literature on biological factors that may have an impact on HIV persistence in LMIC. Three databases were searched without date restrictions.

RESULTS

Uncontrolled viral replication and higher coinfection prevalence may alter the immunological milieu of individuals in LMIC and increase the size of the HIV reservoir. Differences in HIV subtype could also influence the measurement and size of the HIV reservoir. Immune activation may differ due to late presentation to care, presence of chronic infections, increased gut translocation of bacterial products and poor nutrition.

CONCLUSIONS

Research on HIV remission is urgently needed in LMIC. Research into chronic immune activation in resource poor environments, the immune response to infection, the mechanisms of HIV persistence and latency in different viral clades and the effect of the microbiological milieu must be performed. Geographic differences, which may be substantial and may delay access to curative strategies, should be identified.

Impact of Antiretroviral Therapy on the Spread of Human Immunodeficiency Virus in Chaoyang District, Beijing, China: Using the Asian Epidemic Model

BACKGROUND

Successful antiretroviral therapy (ART) has been demonstrated to be effective in reducing the infectivity of human immunodeficiency virus (HIV). We conducted a study to predict the potential effect of ART on the spread of HIV in Chaoyang District, Beijing, China, using the Asian Epidemic Model (AEM).

METHODS

The AEM baseline workbook was used to determine the current infection status and to project the future spread of HIV under current conditions. We changed the input on the ART coverage from 2014 to 2025 and also modified the treatment eligibility in the AEM intervention workbook, in order to allow for analysis of the projected downstream impact of ART.

RESULTS

By gradually increasing the ART coverage rate from 29.7% (rate of 2013) to 40.0%, 50.0%, 60.0%, 70.0%, 80.0%, and 90.0% (at CD4+ ≤350 cells/μl), and by changing the dates of coverage from 2014 to 2020, the number of new infections showed a cumulative decline of 0.60%, 1.59%, 2.94%, 5.33%, 9.32%, and 14.98%, respectively. After 2020, the projected rates of infection rebounded slightly, so with the exception of the years with very high coverage (90.0%), new infections continued to decrease. When we changed the initial threshold of therapy to CD4+ cell counts ≤500 cells/μl, new infections decreased 6.00%, 11.64%, 15.92%, 21.11%, 26.92%, 33.05%, and 38.75%, respectively, under varying ART coverages.

CONCLUSION

Our study demonstrates that the early initiation of ART for people living with HIV/acquired immune deficiency syndrome (AIDS) has a positive effect in slowing the spread of HIV.