Alterations in circulating markers in HIV/AIDS patients with poor immune reconstitution: Novel insights from microbial translocation and innate immunity

Alterations in circulating immunoregulatory proteins discriminate poor CD4 T lymphocyte trajectories in people with HIV on suppressive antiretroviral therapy

Despite the success in the management of HIV with antiretroviral therapy (ART), people with HIV (PWH) have a heightened state of immune activation and inflammation, and an estimated 10%-40% demonstrate poor CD4 T-cell reconstitution, thereby increasing their mortality and morbidity risk burden. Soluble immunoregulatory proteins that function in lymphocyte activation or inhibition are elevated in PWH and associate with T-cell dysfunction, HIV persistence, and are predictive of comorbid outcomes. Here, we measured a panel of 35 circulating immunoregulatory proteins in 116 PWH with variations in CD4 T-cell counts (poor CD4 trajectory: <200 cells/μl, n = 34 or immune competent: CD4 >500 cells/μl, n = 82) by Luminex. Participants were enrolled in the AIDS Clinical Trials Group Longitudinal Linked Randomized Trials cohort, had initiated ART on enrollment, and had been on suppressive ART for 1 year. Using non-parametric analysis, we found that the levels of CD276, ICOSL, BAFF, OX40, galectin-1, and galectin-9 were significantly higher in PWH with poor CD4 trajectories compared to individuals with immune-competent CD4 T-cell count. Notably, in logistic models, ICOSL and OX40 remained significant after adjusting for age and baseline plasma HIV RNA. Furthermore, Extreme Gradient Boosting machine learning models comprising co-stimulatory and inhibitory checkpoint proteins yielded high accuracy in classification of individuals with poor CD4 trajectories. In summary, we identified a novel signature of circulating immunoregulatory proteins indicative of poor CD4 trajectories that may serve as potential targets to monitor and manage immune perturbations more accurately in PWH during suppressive ART.

IMPORTANCE

It is essential to track immune perturbations related to insufficient CD4 T-cell recovery in PWH on suppressive ART as those with incomplete reconstitution are at a greater risk of non-AIDS-related morbidity and mortality. Several inflammatory soluble mediators have associated with poor immune reconstitution and adverse morbid outcomes in PWH, yet their implementation into routine clinical care to guide management remains inconsistent. Circulating immune checkpoint proteins have been linked to dysregulated immune pathways during suppressive ART and may serve as improved surrogate markers of clinical relevance. Here we investigate soluble lymphocyte-associated immunoregulatory proteins in virally suppressed PWH with no reported co-morbid outcomes and varying CD4 T-cell counts, to reveal underlying pathways that remain perturbed despite ART. This novel signature of immunoregulatory markers pertaining to poor CD4 T-cell trajectories uncover previously overlooked immune checkpoints as important targets for clinical monitoring of PWH in the setting of durable viral suppression by ART.

Trajectories of CD4 T-cell count, CD8 T-cell count, and CD4/CD8 ratio in patients with HIV and long-term virological suppression based on Yunnan HIV cohort

OBJECTIVE

Our objective was to evaluate the trajectory of immunology in patients with HIV with different baseline CD4 T-cell count strata after antiretroviral therapy (ART) under long-term viral suppression.

METHODS

This was a sub-analysis focused on patients with virological suppression for at least 5 years after ART. Data were obtained from the Yunnan HIV cohort in China. Patients were categorized according to prespecified baseline CD4 T-cell counts. The trajectories of CD4 T-cell count, CD8 T-cell count, and CD4/CD8 ratio changing over time were fitted using a B-spline regression model. The Cox proportional hazards regression model was used to assess the association of baseline CD4 T-cell count with the risk of both immunological responder (IR) and CD4/CD8 ratio normalization.

RESULTS

A total of 2618 patients with a median follow-up of 7.25 years (interquartile range [IQR] 5.92-8.75) were included. Over a period of 12 years, the mean CD4 T-cell count remained above 500 cells/μL in all groups. The mean CD4/CD8 ratio was solely normalized in patients whose baseline CD4 T-cell counts were above 350 cells/μL. Patients with higher baseline CD4 T-cell counts showed higher risks of both IR and CD4/CD8 ratio normalization than those with the lowest (all p trend <0.001). A higher baseline CD4 T-cell count predicted a shorter time for both IR and CD4/CD8 ratio normalization.

CONCLUSIONS

Long-term, sustained viral suppression may not be able to fully normalize immunological functions in patients with HIV. A high baseline CD4 T-cell count benefits IR and CD4/CD8 ratio normalization.

Comparative efficacy of antifungal drugs for the treatment of oral candidiasis in HIV-positive patients: A Bayesian network meta-analysis

Oral candidiasis infection is particularly prevalent among individuals in HIV-positive patients. Antifungal drugs have shown promising therapeutic effects in treating oral candidiasis in HIV-positive patients. However, the selection of specific antifungal drugs for the treatment of oral candidiasis in HIV-positive patients lacks evidence-based guidelines. This study aims to address this gap by conducting a comprehensive review of relevant randomized controlled trials (RCTs) and performing a network meta-analysis to assess the efficacy of different antifungal drugs in treating oral candidiasis in HIV-positive patients. A systematic search was conducted in databases including EMBASE, Web of Science, Medline, and Cochrane databases to identify relevant articles. Additionally, key pertinent sources in the literatures were also reviewed. All studies published prior to August 2023 were eligible for inclusion. Two researchers independently conducted the screening of literature, extraction of data, and evaluation of quality. Pairwise and network meta-analysis were then performed to assess the primary outcomes of the randomized controlled trials (RCTs) included. The protocol was registered on the PROSPERO database (CRD42024513912). Twenty-six RCTs were included in this meta-analysis, involving a total of 3145 patients and evaluating seven interventions (placebo, fluconazole, itraconazole, nystatin, clotrimazole, ketoconazole, miconazole). Pairwise meta-analysis and network meta-analysis showed fluconazole was significantly efficacy in increasing mycological cure rates when compared with placebo, clotrimazole, and nystatin. Ketoconazole and miconazole were significantly efficacy in increasing mycological cure rates when compared with nystatin. Network meta-analysis also suggested the efficacy of the seven interventions in increasing mycological cure rates was ranked as follows: placebo (35.3%), fluconazole (95.2%), itraconazole (61.6%), nystatin (17.0%), clotrimazole (52.7%), ketoconazole (69.2%), miconazole (69.1%). The available evidence indicates that fluconazole had the greatest possibility to increase mycological cure rates in HIV-positive patients, while, nystatin was the least effective antifungal drug in increasing mycological cure rates in HIV-positive patients.

Machine Learning Revealed a Novel Ferroptosis-Based Classification for Diagnosis in Antiretroviral Therapy-Treated HIV Patients with Defective Immune Recovery

Despite virological suppression, the CD4+ T lymphocytes are not restored in some HIV-infected patients after antiretroviral therapy. These individuals are known as immune non-responders (INRs). INRs are at high risk of developing AIDS and non-AIDS-related events and have a shorter life expectancy. Hence, it is vital to identify INRs early and prevent their complications, but there are still no specific diagnostic indicators or models. Ferroptosis has lately been reported as a type of programmed cell death, which plays an indispensable part in diverse diseases. However, its particular regulatory mechanisms remain unclear and its function in the pathogenic process of defective immunological recovery is still unknown. Blood is mainly used for rapid diagnosis because it enables quick testing. To investigate the role of ferroptosis-related genes (FRGs) in early detection of INRs, we scrutinized Gene Expression Omnibus datasets of peripheral blood samples to estimate their effectiveness. To our knowledge, for the first time, gene expression data were utilized in this study to discover six FRGs that were explicitly expressed in peripheral blood from INRs. Later on, multiple machine-supervised learning algorithms were employed, and a superlative diagnostic model for INRs was built with the random forest algorithm, which displayed satisfactory diagnostic efficiency in the training cohort (area under the curve [AUC] = 0.99) and one external validation cohort (AUC = 0.727). Our findings suggest that FRGs are implicated in the development of defective immune recovery, presenting a potential route for early detection and potential biological targets for the most effective treatment of defective immune recovery.

Investigation of Immunostimulatory Effects of IFN-γ Cytokine and CD40 Ligand Costimulatory Molecule for Development of HIV-1 Therapeutic Vaccine Candidate

The most crucial disadvantage of DNA-based vaccines is their low immunogenicity; therefore, finding an effectual adjuvant is essential for their development. Herein, immunostimulatory effects of IFNγ cytokine and a CD40 ligand (CD40L) costimulatory molecule are evaluated as combined with an antigen, and also linked to an antigen in mice. For this purpose, after preparation of the HIV-1 Nef, IFNγ, and CD40L DNA constructs, and also their recombinant protein in an Escherichia coli expression system, nine groups of female BALB/c mice are immunized with different regimens of DNA constructs. About 3 weeks and also 3 months after the last injection, humoral and cellular immune responses are assessed in mice sera and splenocytes. Additionally, mice splenocytes are exposed to single-cycle replicable (SCR) HIV-1 virions for evaluating their potency in the secretion of cytokines in vitro. The data indicate that the linkage of IFNγ and CD40L to Nef antigen can significantly induce the Th-1 pathway and activate cytotoxic T lymphocytes compared to other regimens. Moreover, groups receiving the IFNγ-Nef and CD40L-Nef fusion DNA constructs show higher secretion of IFNγ and TNF-α from virion-infected lymphocytes than other groups. Therefore, the IFNγ-Nef and CD40L-Nef fusion DNA constructs are suggested to be a potential option for development of an efficient HIV-1 vaccine.

An atlas of immune cell transcriptomes in human immunodeficiency virus-infected immunological non-responders identified marker genes that control viral replication

BACKGROUND

Previous studies have examined the bulk transcriptome of peripheral blood immune cells in acquired immunodeficiency syndrome patients experiencing immunological non-responsiveness. This study aimed to investigate the characteristics of specific immune cell subtypes in acquired immunodeficiency syndrome patients who exhibit immunological non-responsiveness.

METHODS

A single-cell transcriptome sequencing of peripheral blood mononuclear cells obtained from both immunological responders (IRs) (CD4 + T-cell count >500) and immunological non-responders (INRs) (CD4 + T-cell count <300) was conducted. The transcriptomic profiles were used to identify distinct cell subpopulations, marker genes, and differentially expressed genes aiming to uncover potential genetic factors associated with immunological non-responsiveness.

RESULTS

Among the cellular subpopulations analyzed, the ratios of monocytes, CD16 + monocytes, and exhausted B cells demonstrated the most substantial differences between INRs and IRs, with fold changes of 39.79, 11.08, and 2.71, respectively. In contrast, the CD4 + T cell ratio was significantly decreased (0.39-fold change) in INRs compared with that in IRs. Similarly, the ratios of natural killer cells and terminal effector CD8 + T cells were also lower (0.37-fold and 0.27-fold, respectively) in the INRs group. In addition to several well-characterized immune cell-specific markers, we identified a set of 181 marker genes that were enriched in biological pathways associated with human immunodeficiency virus (HIV) replication. Notably, ISG15 , IFITM3 , PLSCR1 , HLA-DQB1 , CCL3L1 , and DDX5 , which have been demonstrated to influence HIV replication through their interaction with viral proteins, emerged as significant monocyte marker genes. Furthermore, the differentially expressed genes in natural killer cells were also enriched in biological pathways associated with HIV replication.

CONCLUSIONS

We generated an atlas of immune cell transcriptomes in HIV-infected IRs and INRs. Host genes associated with HIV replication were identified as markers of, and were found to be differentially expressed in, different types of immune cells.

Incomplete immune reconstitution and its predictors in people living with HIV in Wuhan, China

OBJECTIVE

This study aimed to build and validate a nomogram model to predict the risk of incomplete immune reconstitution in people living with HIV (PLWH).

METHODS

Totally 3783 individuals with a confirmed diagnosis of HIV/AIDS were included. A predictive model was developed based on a retrospective set (N = 2678) and was validated using the remaining cases (N = 1105). Univariate and multivariate logistic regression analyses were performed to determine valuable predictors among the collected clinical and laboratory variables. The predictive model is presented in the form of a nomogram, which is internally and externally validated with two independent datasets. The discrimination of nomograms was assessed by calculating the area under the curve (AUC). Besides, calibration curve and decision curve (DCA) analyses were performed in the training and validation sets.

RESULTS

The final model comprised 5 predictors, including baseline CD4, age at ART initiation, BMI, HZ and TBIL. The AUC of the nomogram model was 0.902, 0.926, 0.851 in the training cohort, internal validation and external cohorts. The calibration accuracy and diagnostic performance were satisfactory in both the training and validation sets.

CONCLUSIONS

This predictive model based on a retrospective study was externally validated using 5 readily available clinical indicators. It showed high performance in predicting the risk of incomplete immune reconstitution in people living with HIV.

Cellular and molecular insights into incomplete immune recovery in HIV/AIDS patients

Highly active antiretroviral therapy (ART) can effectively inhibit virus replication and restore immune function in most people living with human immunodeficiency virus (HIV). However, an important proportion of patients fail to achieve a satisfactory increase in CD4⁺ T cell counts. This state is called incomplete immune reconstitution or immunological nonresponse (INR). Patients with INR have an increased risk of clinical progression and higher rates of mortality. Despite widespread attention to INR, the precise mechanisms remain unclear. In this review, we will discuss the alterations in the quantity and quality of CD4⁺ T as well as multiple immunocytes, changes in soluble molecules and cytokines, and their relationship with INR, aimed to provide cellular and molecular insights into incomplete immune reconstitution.

Elucidating the Gene Signatures and Immune Cell Types in HIV-Infected Immunological Non-Responders by Bioinformatics Analyses

Objective

Numerous studies have reported on the pathogenesis of poor immune reconstitution (PIR) after antiretroviral treatment in human immunodeficiency virus (HIV) patients. However, fewer studies focused on both immune-related genes (IRGs) and immune cells, and the correlation between IRGs and immune cells was evaluated via bioinformatics analyses.

Methods

Gene expression profiling of GSE143742 from the Gene Expression Omnibus (GEO) database was analyzed to get differentially expressed immune-related genes (DEIRGs). The enrichment analysis and protein-protein interaction (PPI) networks of DEIRGs were established. The relative fractions of 22 immune cell types were detected using the "CIBERSORT". The correlation analysis between DEIRGs and immune cells was constructed to discover the potential IRGs associated with immune cells. A logistic regression diagnostic model was built, and a receiver operating characteristic (ROC) curve was performed to evaluate the model's diagnostic efficacy. The CMap database was used to find molecules with therapeutic potential. RT-qPCR was used to verify the expression of the hub DEIRGs.

Results

We identified eight types of significantly changed immune cells and five hub IRGs in INRs. The DEIRGs were mainly enriched in lymphocyte activation, receptor-ligand activity, and T cell receptor signaling pathway. The correlation analysis showed that the expression of TNF, CXCR4 and TFRC correlate with CD8 cells, resting mast cells, activated NK cells, and naïve CD4 cells in INRs. Meanwhile, TFRC and IL7R relate to activated NK cells and resting memory CD4 cells respectively in IRs. A diagnostic model was constructed using multiple logistic regression and nine small molecules were identified as possible drugs.

Conclusion

In this study, we suggested that the process of PIR might be related to TNF, CXCR4, TFRC, CD48, and IL7R. And these IRGs play roles in regulating immune-competent cells. And our constructed diagnostic model has excellent effectiveness. Moreover, some small-molecule drugs are screened to alleviate PIR.