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Zhang W, Ruan L. Recent advances in poor HIV immune reconstitution: what will the future look like? Front Microbiol 2023; 14:1236460. [PMID: 37608956 PMCID: PMC10440441 DOI: 10.3389/fmicb.2023.1236460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 07/24/2023] [Indexed: 08/24/2023] Open
Abstract
Combination antiretroviral therapy has demonstrated proved effectiveness in suppressing viral replication and significantly recovering CD4+ T cell count in HIV type-1 (HIV-1)-infected patients, contributing to a dramatic reduction in AIDS morbidity and mortality. However, the factors affecting immune reconstitution are extremely complex. Demographic factors, co-infection, baseline CD4 cell level, abnormal immune activation, and cytokine dysregulation may all affect immune reconstitution. According to report, 10-40% of HIV-1-infected patients fail to restore the normalization of CD4+ T cell count and function. They are referred to as immunological non-responders (INRs) who fail to achieve complete immune reconstitution and have a higher mortality rate and higher risk of developing other non-AIDS diseases compared with those who achieve complete immune reconstitution. Heretofore, the mechanisms underlying incomplete immune reconstitution in HIV remain elusive, and INRs are not effectively treated or mitigated. This review discusses the recent progress of mechanisms and factors responsible for incomplete immune reconstitution in AIDS and summarizes the corresponding therapeutic strategies according to different mechanisms to improve the individual therapy.
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Affiliation(s)
| | - Lianguo Ruan
- Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, Hubei, China
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2
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Balogun O, Shuaib BI, Usman A, Yusuf AA, Musa BO, Reginald OO, Babadoko AA. Effects of anti-retroviral therapy on baseline serum interleukin-18 levels in HIV-I infected patients relative to viral suppression and CD4+ gain: A prospective pilot study. Biomedicine (Taipei) 2023; 13:24-33. [PMID: 37937297 PMCID: PMC10627208 DOI: 10.37796/2211-8039.1406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/03/2023] [Indexed: 11/09/2023] Open
Abstract
Background In HIV infection, dysregulation of cytokines, including interleukin 18 (IL-18), has been linked to poor clinical outcomes in studies mainly conducted in resource-rich countries. This phenomenon has not been well-studied in resource-limited settings where outcomes could be confounded by exposure to endemic infections and genetic factors. Objectives Therefore, the influence of immunological and virological status of HIV-infected, antiretroviral therapy (ART)-naïve patients on serum IL-18 levels at baseline (pretreatment) and 24 weeks following initiation of combination ART (cART24) in a resource-limited setting was investigated. Methods Using the cross-sectional and longitudinal mixed method design, a total of Forty-four (44) newly diagnosed consenting HIV patients were consecutively recruited during routine clinic visits at the Nasara Treatment & Care Centre of the Ahmadu Bello University Teaching Hospital (ABUTH), Zaria, Nigeria between December 2016 to January 2018, and followed up for 24 weeks on initiation of first-line cART. Results Serum IL-18 concentrations, CD4+ T-cell counts (CD4+) counts, and HIV1 RNA levels were determined at baseline and cART24. There was little CD4+ count gain in both <200 and ≥ 200 cell/mm3subgroups despite the high proportion of subjects having virological suppression (n = 35, [80%]) at cART24. However, at cART24 there was a more than a threefold decrease in the level of IL-18 concentration compared to baseline in patients with <200 cells/mm3 and a significant decrease in the median plasma IL-18 concentration in patients with HIV1 RNA <1000 cp/mL at cART24. A multivariate logistic regression model shows IL-18 intermediate quartile to be more related to immunological poor gain as compared to the highest quartile. Conclusion Our study found high baseline and significantly low levels of IL-18 at cART24 in virologically suppressed subjects but not among virological non-suppressed responders despite comparable IL-18 levels by CD4+ T cell count strata at cART24. These findings have implications for risk stratification and treatment outcomes in HIV-positive persons.
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Affiliation(s)
- Olayemi Balogun
- Department of Medical Microbiology, Ahmadu Bello University Teaching Hospital, Zaria,
Nigeria
| | - Bukhari I. Shuaib
- Anti-Retroviral Therapy (ART) Laboratory, Ahmadu Bello University Teaching Hospital, Zaria,
Nigeria
| | - Abdulrasheed Usman
- Department of Pharmacology and Therapeutics, Faculty of Pharmaceutical Science Ahmadu Bello University, Zaria,
Nigeria
| | - Aminu A. Yusuf
- Department of Haematology, Faculty of Clinical Sciences, Bayero University Kano,
Nigeria
- Department of Haematology and Blood Transfusion, Aminu Kano Teaching Hospital,
Nigeria
| | - Bolanle O.P. Musa
- Department of Medical Microbiology, Ahmadu Bello University Teaching Hospital, Zaria,
Nigeria
| | - Obiako O. Reginald
- Department of Medical Microbiology, Ahmadu Bello University Teaching Hospital, Zaria,
Nigeria
| | - Aliyu A. Babadoko
- Anti-Retroviral Therapy (ART) Laboratory, Ahmadu Bello University Teaching Hospital, Zaria,
Nigeria
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3
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Bai R, Du J, Lv S, Hua W, Dai L, Wu H. Benefits and Risks of Rapid Initiation of Antiretroviral Therapy: A Systematic Review and Meta-Analysis. Front Pharmacol 2022; 13:898449. [PMID: 35721164 PMCID: PMC9205577 DOI: 10.3389/fphar.2022.898449] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: To compare the benefits and risks between Rapid ART and standard/delayed treatment for HIV.Methods: Databases of PubMed, Cochrane Library, Embase and Web of science were searched from the inception to 28 October 2021. Two investigators independently screened studies related to Rapid ART, extracted data, and evaluated the literature quality. The risk of bias was assessed by Cochrane Collaboration Risk of Bias Tool and the statistical software Stata15.0 was used for meta-analysis.Results: Ten eligible studies were included in this meta-analysis, the results showed Rapid ART was superior to standard/delayed treatment in continuing care for at least 8 months (RR = 1.13, 95%CI: 1.03∼1.25, Z = 2.44, p = 0.015), and severe bacterial infection (RR = 0.42, 95%CI: 0.25∼0.70, Z = 3.33, p = 0.001). At 12 months following treatment, there was no statistically significant difference in viral load <100 copies/mL (RR = 1.05, 95%CI: 0.80∼1.39, Z = 0.35, p = 0.726), mortality (RR = 0.77, 95%CI: 0.47∼1.24, Z = 1.09, p = 0.277), or the incidence of adverse events (RR = 0.52, 95%CI: 0.16∼1.76, Z = 1.05, p = 0.294) compared with standard/delayed treatment.Conclusion: In comparison to standard/delayed treatment, rapid ART can reduce the incidence of TB and severe bacterial infections in HIV patients. Our findings suggest that rapid ART should be utilized when clinical conditions and the patient’s physical state allow.Systematic Review Registration: [https://inplasy.com/?s=202210004], identifier [INPLASY202210004].
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Affiliation(s)
- Ruojing Bai
- Beijing Key Laboratory for HIV/AIDS Research, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Juan Du
- Beijing Key Laboratory for HIV/AIDS Research, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Shiyun Lv
- Beijing Key Laboratory for HIV/AIDS Research, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Wei Hua
- Travel Clinic, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Lili Dai
- Travel Clinic, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Lili Dai, ; Hao Wu,
| | - Hao Wu
- Beijing Key Laboratory for HIV/AIDS Research, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Lili Dai, ; Hao Wu,
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4
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Jiang H, Lan G, Zhu Q, Feng Y, Liang S, Li J, Zhou X, Lin M, Shao Y. Impacts of HIV-1 Subtype Diversity on Long-Term Clinical Outcomes in Antiretroviral Therapy in Guangxi, China. J Acquir Immune Defic Syndr 2022; 89:583-591. [PMID: 34966146 PMCID: PMC8900993 DOI: 10.1097/qai.0000000000002906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/20/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Comprehensively estimating the impacts of HIV-1 subtype diversity on long-term clinical outcomes during antiretroviral therapy (ART) can help inform program recommendations. METHODS The HIV-1 sequence data and clinical records of 5950 patients from all 14 prefectures in Guangxi, China, during 2008-2020 were included. Evolutional trends of CD4+ T-lymphocyte count and viral load were explored, and the effects of HIV-1 subtypes on clinical outcomes were estimated by the Cox proportional hazards model. The polymorphisms involved in drug resistance mutation were analyzed. RESULTS Compared with patients with CRF07_BC, patients with CRF01_AE and CRF08_BC showed poor immunologic and virologic responses to antiretroviral therapy. Although the median expected time from ART initiation to virologic suppression for all patients was approximately 12 months, patients with CRF01_AE and CRF08_BC had a long time to achieve immune recovery and a short time to occur immunologic failure, compared with patients with CRF07_BC. Adjusted analysis showed that both CRF01_AE and CRF08_BC were the negative factors in immune recovery and long-term mortality. In addition, CRF08_BC was a negative factor in virologic suppression and a risk factor of virologic failure. This poor virologic response might result from the high prevalence of drug resistance mutation in CRF08_BC. CONCLUSIONS Compared with patients with CRF07_BC, patients with CRF01_AE could benefit more from immediate ART, and patients with CRF08_BC are more suitable for PI-based regimens. These data emphasize the importance of routine HIV-1 genotyping before ART, immediate ART, and personalized ART regimens to improve the prognosis for patients undergoing ART.
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Affiliation(s)
- He Jiang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; and
- State of Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, China
| | - Guanghua Lan
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
| | - Qiuying Zhu
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
| | - Yi Feng
- State of Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, China
| | - Shujia Liang
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
| | - Jianjun Li
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
| | - Xinjuan Zhou
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; and
| | - Mei Lin
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
| | - Yiming Shao
- Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; and
- State of Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, China
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5
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Fiseha T, Ebrahim H, Ebrahim E, Gebreweld A. CD4+ cell count recovery after initiation of antiretroviral therapy in HIV-infected Ethiopian adults. PLoS One 2022; 17:e0265740. [PMID: 35324948 PMCID: PMC8947242 DOI: 10.1371/journal.pone.0265740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 03/08/2022] [Indexed: 11/18/2022] Open
Abstract
Background CD4+ cell count recovery after effective antiretroviral therapy (ART) is an important determinant of both AIDS and non-AIDS morbidity and mortality. Data on CD4+ cell count recovery after initiation of ART are still limited in Sub-Saharan Africa. The aim of this study was to assess CD4+ cell count recovery among HIV-infected adults initiating ART in an Ethiopian setting. Methods A retrospective cohort study of HIV-infected adults initiating ART between September 2008 and June 2019 was carried out. CD4+ cell count recovery was defined as an increase in CD4+ cell count of >100 cells/mm3 from baseline or achievement of a CD4+ cell count >500 cells/mm3 at 12 months after ART initiation. Factors associated with CD4+ cell count recovery were evaluated using logistic regression analysis. Results Of the 566 patients included in this study, the median baseline CD4+ cell count was 264 cells/mm3 (IQR: 192–500). At 12 months after ART initiation, the median CD4+ cell count increased to 472 cells/mm3, and the proportion of patients with CD4+ cell count < 200 cells/mm3 declined from 28.3 to 15.0%. A total of 58.0% of patients had an increase in CD4+ cell count of >100 cells/mm3 from baseline and 48.6% achieved a CD4+ cell count >500 cells/mm3 at 12 months. Among patients with CD4+ cell counts < 200, 200–350 and >350 cells/mm3 at baseline, respectively, 30%, 43.9% and 61.7% achieved a CD4+ cell count >500 cells/mm3 at 12 months. In multivariable analysis, poor CD4+ cell count recovery (an increase of ≤100 cells/mm3 from baseline) was associated with older age, male sex, higher baseline CD4+ cell count and zidovudine-containing initial regimen. Factors associated with poor CD4+ cell count recovery to reach the level >500 cells/mm3 included older age, male sex and lower baseline CD4+ cell count. Conclusions CD4+ cell count failed to recover in a substantial proportion of adults initiating ART in this resource-limited setting. Older age, male sex and baseline CD4+ cell count are the dominant factors for poor CD4+ cell count recovery. Novel therapeutic approaches are needed focusing on high risk patients to maximize CD4+ cell count recovery and improve outcomes during therapy.
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Affiliation(s)
- Temesgen Fiseha
- Department of Clinical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
- * E-mail:
| | - Hussen Ebrahim
- Department of Clinical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Endris Ebrahim
- Department of Clinical Laboratory Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Angesom Gebreweld
- Department of Medical Laboratory Science, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
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6
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Noiman A, Esber A, Wang X, Bahemana E, Adamu Y, Iroezindu M, Kiweewa F, Maswai J, Owuoth J, Maganga L, Ganesan A, Maves RC, Lalani T, Colombo RE, Okulicz JF, Polyak C, Crowell TA, Ake JA, Agan BK. Clinical factors and outcomes associated with immune non-response among virally suppressed adults with HIV from Africa and the United States. Sci Rep 2022; 12:1196. [PMID: 35075147 PMCID: PMC8786968 DOI: 10.1038/s41598-022-04866-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 12/24/2021] [Indexed: 11/21/2022] Open
Abstract
A significant minority of people living with HIV (PLWH) achieve viral suppression (VS) on antiretroviral therapy (ART) but do not regain healthy CD4 counts. Clinical factors affecting this immune non-response (INR) and its effect on incident serious non-AIDS events (SNAEs) have been challenging to understand due to confounders that are difficult to control in many study settings. The U.S. Military HIV Natural History Study (NHS) and African Cohort Study (AFRICOS). PLWH with sustained VS (< 400 copies/ml for at least two years) were evaluated for INR (CD4 < 350 cells/µl at the time of sustained VS). Logistic regression estimated adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for factors associated with INR. Cox proportional hazards regression produced adjusted hazard ratios (aHRs) for factors associated with incident SNAE after sustained VS. INR prevalence was 10.8% and 25.8% in NHS and AFRICOS, respectively. Higher CD4 nadir was associated with decreased odds of INR (aOR = 0.34 [95% CI 0.29, 0.40] and aOR = 0.48 [95% CI 0.40, 0.57] per 100 cells/µl in NHS and AFRICOS, respectively). After adjustment, INR was associated with a 61% increase in relative risk of SNAE [95% CI 1.12, 2.33]. Probability of "SNAE-free" survival at 15 years since sustained VS was approximately 20% lower comparing those with and without INR; nearly equal to the differences observed by 15-year age groups. CD4 monitoring before and after VS is achieved can help identify PLWH at risk for INR. INR may be a useful clinical indicator of future risk for SNAEs.
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Affiliation(s)
- Adi Noiman
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. .,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA. .,Infectious Disease Clinical Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Uniformed Services University of the Health Sciences, 11300 Rockville Pike, Suite 600, Rockville, MD, 20852, USA.
| | - Allahna Esber
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Xun Wang
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Emmanuel Bahemana
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Henry M. Jackson Foundation MRI, Mbeya, Tanzania
| | - Yakubu Adamu
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,U.S. Army Medical Research Directorate-Africa, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Abuja, Nigeria
| | - Michael Iroezindu
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,U.S. Army Medical Research Directorate-Africa, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Abuja, Nigeria
| | | | - Jonah Maswai
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Kenya Medical Research Institute, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Kericho, Kenya
| | - John Owuoth
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Kenya Medical Research Institute, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Kisumu, Kenya
| | - Lucas Maganga
- National Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Ryan C Maves
- Naval Medical Center San Diego, San Diego, CA, USA
| | - Tahaniyat Lalani
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Naval Medical Center Portsmouth, Portsmouth, VA, USA
| | - Rhonda E Colombo
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Madigan Army Medical Center, Joint Base Lewis-McChord, WA, USA
| | - Jason F Okulicz
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Brooke Army Medical Center, San Antonio, TX, USA
| | - Christina Polyak
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Trevor A Crowell
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Division of Infectious Diseases, Department of Medicine, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Julie A Ake
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Division of Infectious Diseases, Department of Medicine, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. .,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
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7
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Li K, Chen H, Li J, Feng Y, Lan G, Liang S, Liu M, Rashid A, Xing H, Shen Z, Shao Y. Immune reconstruction effectiveness of combination antiretroviral therapy for HIV-1 CRF01_AE cluster 1 and 2 infected individuals. Emerg Microbes Infect 2021; 11:158-167. [PMID: 34895083 PMCID: PMC8725829 DOI: 10.1080/22221751.2021.2017755] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
There are great disparities of the results in immune reconstruction (IR) of the HIV-1 infected patients during combined antiretroviral therapy (cART), due to both host polymorphisms and viral genetic subtypes. Identifying these factors and elucidating their impact on the IR could help to improve the efficacy. To study the factors influencing the IR, we conducted a 15-year retrospective cohort study of HIV-1 infected individuals under cART. The trend of CD4+ count changes was evaluated by the generalized estimating equations. Cox proportional model and propensity score matching were used to identify variables that affect the possibility of achieving IR. The tropism characteristics of virus were compared using the coreceptor binding model. In addition to baseline CD4+ counts and age implications, CRF01_AE cluster 1 was associated with a poorer probability of achieving IR than infection with cluster 2 (aHR, 1.39; 95%CI, 1.02-1.90) and other subtypes (aHR, 1.83; 95%CI, 1.31-2.56). The mean time from cART initiation to achieve IR was much longer in patients infected by CRF01_AE cluster 1 than other subtypes/sub-clusters (P < 0.001). In-depth analysis indicated that a higher proportion of CXCR4 viruses were found in CRF01_AE clusters 1 and 2 (P < 0.05), and showed tendency to favour CXCR4 binding to V3 signatures. This study indicated the immune restoration impairment found in patients were associated with HIV-1 CRF01_AE cluster 1, which was attributed to the high proportion of CXCR4-tropic viruses. To improve the effectiveness of cART, more efforts should be made in the early identification of HIV-1 subtype/sub-cluster and monitoring of virus phenotypes.
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Affiliation(s)
- Kang Li
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin, People's Republic of China.,State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Huanhuan Chen
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Jianjun Li
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Yi Feng
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Shujia Liang
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Meiliang Liu
- School of Public Health, Guangxi Medical University, Nanning, People's Republic of China
| | - Abdur Rashid
- School of Medicine, Nankai University, Tianjin, People's Republic of China
| | - Hui Xing
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Zhiyong Shen
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
| | - Yiming Shao
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin, People's Republic of China.,State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.,Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China
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8
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Qian S, Chen X, Wu T, Sun Y, Li X, Fu Y, Zhang Z, Xu J, Han X, Ding H, Jiang Y. The accumulation of plasma acylcarnitines are associated with poor immune recovery in HIV-infected individuals. BMC Infect Dis 2021; 21:808. [PMID: 34384363 PMCID: PMC8362229 DOI: 10.1186/s12879-021-06525-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 08/04/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Antiretroviral therapy (ART) can reduce opportunistic infections and mortality rates among individuals infected with human immunodeficiency virus (HIV); however, some HIV-infected individuals exhibit poor immune recovery after ART. Hence, we explored the association between metabolome profiles and immune recovery in HIV-infected individuals following ART. METHODS An untargeted metabolomics approach was used to analyze plasma samples from 18 HIV-negative individuals and 20 HIV-infected individuals, including 10 immunological non-responders (INR, CD4+ T cell rise < 100 cells/μl) and 10 immunological responders (IR, CD4+ T cell rise > 300 cells/μl) after 2 years of ART. These individuals were followed for the next 6 years and viral loads and CD4+ T cell count were measured regularly. Orthogonal projection on latent structures discriminant analysis (OPLS-DA), ANOVA, correlation, receiver operating characteristic (ROC), and survival analyses were used for selection of discriminant metabolites. RESULTS Eighteen lipid metabolites were identified which could distinguish among control, INR, and IR groups. Among them, myristoylcarnitine (MC), palmitoylcarnitine (PC), stearoylcarnitine (SC), and oleoylcarnitine (OC) were significantly elevated in INR plasma samples compared with those from the IR and control groups and were negatively associated with CD4+ T cell count. Additionally, ROC analysis using a combination of MC, PC, SC, and OC had high sensitivity and specificity for differentiating INR from IR (AUC = 0.94). Finally, survival analysis for the combination of MC, PC, SC, and OC demonstrated that it could predict CD4+ T cell count in patients undergoing long-term ART. CONCLUSIONS High levels of lipid metabolites, MC, PC, SC, and OC are associated with poor immune recovery in patients receiving ART and these data provide potential new insights into immune recovery mechanisms.
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Affiliation(s)
- Shi Qian
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.,Department of Clinical Laboratory, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xi Chen
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.,Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Tong Wu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yu Sun
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Xiaolin Li
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yajing Fu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Zining Zhang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Junjie Xu
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Xiaoxu Han
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Haibo Ding
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yongjun Jiang
- NHC Key Laboratory of AIDS Immunology (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
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9
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Fichtenbaum CJ, Ribaudo HJ, Leon-Cruz J, Overton ET, Zanni MV, Malvestutto CD, Aberg JA, Kileel EM, Fitch KV, Van Schalkwyk M, Kumarasamy N, Martinez E, Santos BR, Joseph Y, Lo J, Siminski S, Melbourne K, Sponseller CA, Desvigne-Nickens P, Bloomfield GS, Currier JS, Hoffmann U, Douglas PS, Grinspoon SK. Patterns of Antiretroviral Therapy Use and Immunologic Profiles at Enrollment in the REPRIEVE Trial. J Infect Dis 2021; 222:S8-S19. [PMID: 32645162 DOI: 10.1093/infdis/jiaa259] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Patterns of antiretroviral therapy (ART) use and immunologic correlates vary globally, and contemporary trends are not well described. METHODS The REPRIEVE trial (Randomized Trial to Prevent Vascular Events in HIV) enrolled persons with human immunodeficiency virus (HIV) who were aged 40-75 years, receiving ART, and had low-to-moderate cardiovascular disease risk. ART use was summarized within Global Burden of Disease (GBD) super-regions, with adjusted linear and logistic regression analyses examining associations with immune parameters and key demographics. RESULTS A total of 7770 participants were enrolled, with a median age of 50 years (interquartile range, 45-55 years); 31% were female, 43% were black or African American, 15% were Asian, 56% had a body mass index >25 (calculated as weight in kilograms divided by height in meters squared), and 49% were current or former smokers. The median CD4 T-cell count was 620/µL (interquartile range, 447-826/ µ L), and the median duration of prior ART use, 9.5 years (5.3-14.8) years. The most common ART regimens were nucleoside/nucleotide reverse-transcriptase inhibitor (NRTI) plus nonnucleoside reverse-transcriptase inhibitor (43%), NRTI plus integrase strand transfer inhibitor (25%), and NRTI plus protease inhibitor (19%). Entry ART varied by GBD region, with shifts during the trial enrollment period. In adjusted analyses, entry CD4 cell count and CD4/CD8 ratio were associated with GBD region, sex, entry regimen, duration of ART, and nadir CD4 cell count; CD4 and CD8 cell counts were also associated with body mass index and smoking status. CONCLUSIONS There were substantial variations in ART use by geographic region and over time, likely reflecting the local availability of specific medications, changes in treatment guidelines and provider/patient preferences. The analyses of CD4 cell counts and CD4/CD8 ratios may provide valuable insights regarding immune correlates and outcomes in people living with HIV. CLINICAL TRIALS REGISTRATION NCT02344290.
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Affiliation(s)
- Carl J Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Heather J Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jorge Leon-Cruz
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Edgar T Overton
- Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Carlos D Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio, USA
| | - Judith A Aberg
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Emma M Kileel
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kathleen V Fitch
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marije Van Schalkwyk
- Family Centre for Research with Ubuntu, Division of Adult Infectious Diseases, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | | | | | - Breno Riegel Santos
- Infectious Diseases Service, Hospital Nossa, Senhora da Conceição/GHC, Porto Alegre, Brazil
| | | | - Janet Lo
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Sue Siminski
- Frontier Science and Technology Foundation, Amherst, Massachusetts, USA
| | | | | | | | - Gerald S Bloomfield
- Department of Medicine, Duke Global Health Institute and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Judith S Currier
- Division of Infectious Diseases, University of California-Los Angeles, Los Angeles, California, USA
| | - Udo Hoffmann
- Cardiac MR PET CT Program and Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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10
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Lilian RR, Davies N, Gilbert L, McIntyre JA, Struthers HE, Rees K. CD4 testing after initiation of antiretroviral therapy: Analysis of routine data from the South African HIV programme. South Afr J HIV Med 2020; 21:1165. [PMID: 33391834 PMCID: PMC7757017 DOI: 10.4102/sajhivmed.v21i1.1165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 10/05/2020] [Indexed: 12/04/2022] Open
Abstract
Background People living with HIV (PLHIV) who have low CD4 counts require advanced clinical care (ACC) to minimise morbidity and mortality risk. These patients include immunological non-responders (INRs) with low CD4 counts despite a suppressed viral load. Objectives To determine the proportion of patients with low CD4 counts after antiretroviral therapy (ART) initiation and to describe INRs within that group. Methods Routine Three Interlinked Electronic Registers.Net (TIER.Net) data from four South African districts were analysed for adult PLHIV on ART > 12 months. Immunological non-responders were defined as patients on ART > 4 years who were virally suppressed (viral load < 1000 copies/mL) with a CD4 count ≤ 350 cell/mm3. Results Baseline CD4 was recorded for 80.9% of the 869 571 patients newly initiating ART, with 37.2% of those starting ART since 2017 having baseline counts ≤ 200 cells/mm3. Amongst all 1 178 190 patients on ART, only 46.5% had a CD4 test after ART initiation and of these, 14.3% had CD4 ≤ 200 cells/mm3. This proportion was highest amongst patients on ART ≤ 2 years (19.7%) (p < 0.001). Amongst virally suppressed patients, 20.0% were INRs. Immunological non-response was significantly more likely amongst patients on second-line ART (adjusted odds ratio [aOR] 1.79), those aged 35-45 and ≥ 45 years (aOR 1.15 and 1.50, respectively), males (aOR 2.28) and patients with confirmed TB (aOR 2.49), and was significantly less likely in cases with higher baseline CD4 count (aOR 0.35). Conclusion CD4 testing subsequent to ART initiation is poorly implemented and there is a notable proportion of patients with low CD4 counts. Guidelines regarding CD4 testing and ACC need to be more widely implemented to identify patients with low CD4 counts and improve their outcomes.
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Affiliation(s)
| | | | | | - James A McIntyre
- Anova Health Institute, Johannesburg, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Helen E Struthers
- Anova Health Institute, Johannesburg, South Africa.,Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kate Rees
- Anova Health Institute, Johannesburg, South Africa.,Department of Community Health, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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11
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Zhong Y, Beattie CM, Rojas J, Farquhar XP, Brown PA, Wiewel EW. Enrollment Length, Service Category, and HIV Health Outcomes Among Low-Income HIV-Positive Persons Newly Enrolled in a Housing Program, New York City, 2014-2017. Am J Public Health 2020; 110:1068-1075. [PMID: 32437285 DOI: 10.2105/ajph.2020.305660] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Objectives. To evaluate the impact of duration and service category on HIV health outcomes among low-income adults living with HIV and enrolled in a housing program in 2014 to 2017.Methods. We estimated relative risk of engagement in care, viral suppression, and CD4 improvement for 561 consumers at first and second year after enrollment to matched controls through the New York City HIV surveillance registry, by enrollment length (enrolled for more than 1 year or not) and service category (housing placement assistance [HPA], supportive permanent housing [SPH], and rental assistance [REN]).Results. The SPH and REN consumers were enrolled longer and received more services, compared with HPA consumers. Long-term SPH and REN consumers had better engagement in care, viral suppression, and CD4 count than controls at both first and second year after enrollment, but the effect did not grow bigger from year 1 to 2. HPA consumers did not have better outcomes than controls regardless of enrollment length.Conclusions. Longer enrollment with timely housing placement and a higher number and more types of services are associated with better HIV health outcomes for low-income persons living with HIV with unmet housing needs.
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Affiliation(s)
- Yaoyu Zhong
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
| | - Christopher M Beattie
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
| | - John Rojas
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
| | - X Pamela Farquhar
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
| | - Paul A Brown
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
| | - Ellen W Wiewel
- At the time of the analysis, all authors were with the New York City Department of Health and Mental Hygiene, Long Island City, NY
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12
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Yang X, Su B, Zhang X, Liu Y, Wu H, Zhang T. Incomplete immune reconstitution in HIV/AIDS patients on antiretroviral therapy: Challenges of immunological non-responders. J Leukoc Biol 2020; 107:597-612. [PMID: 31965635 PMCID: PMC7187275 DOI: 10.1002/jlb.4mr1019-189r] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/25/2019] [Accepted: 11/13/2019] [Indexed: 12/14/2022] Open
Abstract
The morbidity and mortality of HIV type-1 (HIV-1)-related diseases were dramatically diminished by the grounds of the introduction of potent antiretroviral therapy, which induces persistent suppression of HIV-1 replication and gradual recovery of CD4+ T-cell counts. However, ∼10-40% of HIV-1-infected individuals fail to achieve normalization of CD4+ T-cell counts despite persistent virological suppression. These patients are referred to as "inadequate immunological responders," "immunodiscordant responders," or "immunological non-responders (INRs)" who show severe immunological dysfunction. Indeed, INRs are at an increased risk of clinical progression to AIDS and non-AIDS events and present higher rates of mortality than HIV-1-infected individuals with adequate immune reconstitution. To date, the underlying mechanism of incomplete immune reconstitution in HIV-1-infected patients has not been fully elucidated. In light of this limitation, it is of substantial practical significance to deeply understand the mechanism of immune reconstitution and design effective individualized treatment strategies. Therefore, in this review, we aim to highlight the mechanism and risk factors of incomplete immune reconstitution and strategies to intervene.
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Affiliation(s)
- Xiaodong Yang
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
| | - Bin Su
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
| | - Xin Zhang
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
| | - Yan Liu
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
| | - Hao Wu
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
| | - Tong Zhang
- Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory for HIV/AIDS Research, Beijing, China
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