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Turk T, Labarile M, Braun DL, Rauch A, Stöckle M, Cavassini M, Hoffmann M, Calmy A, Bernasconi E, Notter J, Pasin C, Günthard HF, Kouyos RD. Characterization and Determinants of Long-Term Immune Recovery Under Suppressive Antiretroviral Therapy. J Acquir Immune Defic Syndr 2024; 96:68-76. [PMID: 38301637 DOI: 10.1097/qai.0000000000003388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
OBJECTIVE We developed a robust characterization of immune recovery trajectories in people living with HIV on antiretroviral treatment (ART) and relate our findings to epidemiological risk factors and bacterial pneumonia. METHODS Using data from the Swiss HIV Cohort Study and the Zurich Primary HIV Infection Cohort Study (n = 5907), we analyzed the long-term trajectories of CD4 cell and CD8 cell counts and their ratio in people living with HIV on ART for at least 8 years by fitting nonlinear mixed-effects models. The determinants of long-term immune recovery were investigated using generalized additive models. In addition, prediction accuracy of the modeled trajectories and their impact on the fit of a model for bacterial pneumonia was assessed. RESULTS Overall, our population showed good immune recovery (median plateau [interquartile range]-CD4: 718 [555-900] cells/μL, CD8: 709 [547-893] cells/μL, CD4/CD8: 1.01 [0.76-1.37]). The following factors were predictive of recovery: age, sex, nadir/zenith value, pre-ART HIV-1 viral load, hepatitis C, ethnicity, acquisition risk, and timing of ART initiation. The fitted models proved to be an accurate and efficient way of predicting future CD4 and CD8 cell recovery dynamics: Compared with carrying forward the last observation, mean squared errors of the fitted values were lower by 1.3%-18.3% across outcomes. When modeling future episodes of bacterial pneumonia, using predictors derived from the recovery dynamics improved most model fits. CONCLUSION We described and validated a method to characterize individual immune recovery trajectories of people living with HIV on suppressive ART. These trajectories accurately predict long-term immune recovery and the occurrence of bacterial pneumonia.
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Affiliation(s)
- Teja Turk
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Marco Labarile
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marcel Stöckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Matthias Hoffmann
- Clinic for Infectious Diseases, Cantonal Hospital Olten, Olten, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, Geneva University Hospital, Geneva, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Ente Ospedaliero Cantonale, Lugano, Switzerland
- University of Geneva and University of Southern Switzerland, Lugano, Switzerland
| | - Julia Notter
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, St. Gallen, Switzerland ; and
| | | | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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Thate RN, Ingole DN, Solanke-Surase V, Joshi K, Bajpayi S, Acharya S, Nataraj G. Role of CD4 count estimation in the era of HIV-1 viral load among PLHIV. Indian J Med Microbiol 2023; 46:100423. [PMID: 37945117 DOI: 10.1016/j.ijmmb.2023.100423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/29/2023] [Accepted: 06/26/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND ART has improved the life expectancy of people living with HIV (PLHIV) by suppressing the virus and increasing CD4 count. Some PLHIV shows immune-virological discordant responses i.e. suppressed viral load to the undetectable level but still with immunological failure or good immunological response with virological failure. Immuno-virological response plays a key role to address treatment outcome, regimen change and management for people living with HIV. It is reported that PLHIV with discordant responses were found to be at an increased risk to develop AIDS and non-AIDS events related death. AIMS & OBJECTIVE To determine immuno-virological discordance amongst PLHIV on ART and its effect on mortality. MATERIAL & METHOD After getting institutional Ethics committee approval, total 1921 patients were included in the study who were on ART for at least 6 month or more and have at least two CD4 count tests results and were tested from July 2019 to June 2020. Retrospective analysis was done. RESULTS Total 1921 patients were included in study of which 1383 (72%) showed immuno-virological concordance & 538 (28%) showed immuno-virological discordance. Overall mortality rate among PLHIV was 3.6%. Mortality rate in immuno-virological concordant group was 2.8%. Of immuno-virological discordant population, 505 (26.3%) were virological only responders (VO) with 5.35% mortality rate & 33 (1.7%) were immunological only responders (IO) with 9.09% mortality rate. High number of immunological discordant patients in the present study warrants the further evaluation of these patients with change in appropriate treatment strategy to decrease the mortality among this group. CONCLUSION This study emphasizes the role of immunological monitoring as well as virological monitoring to improve the life expectancy of PLHIV.
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Affiliation(s)
- Ranjana N Thate
- Dept of Microbiology, Seth GSMC & KEM Hospital, Parel, Mumbai, Maharashtra, India
| | - Dr Nayana Ingole
- Dept of Microbiology, Topiwala National Medical College(TNMC) & BYL Nair Hospital, Mumbai Central, Mumbai, Maharashtra, India
| | | | - Kavita Joshi
- Dept of Medicine, Seth GSMC & KEM Hospital, Parel, Mumbai, Maharashtra, India
| | - Smrati Bajpayi
- Dept of Medicine, Seth GSMC & KEM Hospital, Parel, Mumbai, Maharashtra, India
| | - Shrikala Acharya
- Dept of Preventive & Social Medicine, Seth GSMC & KEM Hospital, Parel, Mumbai, Maharashtra, India
| | - Gita Nataraj
- Dept of Microbiology, Seth GSMC & KEM Hospital, Parel, Mumbai, Maharashtra, India.
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Hattenhauer ST, Mispelbaum R, Hentrich M, Boesecke C, Monin MB. Enabling CAR T-cell therapies for HIV-positive lymphoma patients - A call for action. HIV Med 2023; 24:957-964. [PMID: 37322863 DOI: 10.1111/hiv.13514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/09/2023] [Indexed: 06/17/2023]
Abstract
People living with HIV have a higher risk of developing lymphoma. Outcomes for people living with HIV with relapsed or refractory (r/r) lymphoma remain poor. For this group of patients, chimeric antigen receptor (CAR) T-cell therapy represents a new successful treatment strategy. However, people living with HIV were not included in pivotal trials, so data are limited to case reports. We searched the PubMed and Ovid technologies databases for literature until 1 November 2022 using the terms 'HIV and CAR-T', 'HIV and lymphoma' and 'HIV and CAR-T and lymphoma'. Six cases with sufficient information were included in the review. The mean CD4+ T-cell count before CAR T-cell therapy was 221 cells/μL (range 52-629). The viral load was below the limit of detection in four patients. All patients had diffuse large B-cell lymphoma (DLBCL) and were treated with gamma-retroviral-based axicabtagene ciloleucel. Four patients developed cytokine-release syndrome (CRS) grade 2 or less or immune effector-cell-associated neurotoxicity syndrome (ICANs) grade 3-4. Four of six patients responded to CAR T-cell therapy (three complete remissions, one partial remission). In summary, there are no clinical reasons to restrict the use of CAR T-cell therapy in people living with HIV with r/r DLBCL. According to the current data, CAR T-cell therapy was safe and effective. In people who meet the standard criteria for CAR T-cell therapy, this treatment approach could significantly improve the unmet need for more effective treatment options for people living with HIV with r/r lymphoma.
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Affiliation(s)
- Sandra Tessa Hattenhauer
- Department of Oncology, Hematology, Rheumatology and Immune-Oncology, University Hospital Bonn, Bonn, Germany
| | - Rebekka Mispelbaum
- Department of Oncology, Hematology, Rheumatology and Immune-Oncology, University Hospital Bonn, Bonn, Germany
| | - Marcus Hentrich
- Department of Internal Medicine III, Red Cross Hospital Munich, Munich, Germany
| | - Christoph Boesecke
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
- German Centre for Infection Research (DZIF), partner-site Cologne-Bonn, Bonn, Germany
| | - Malte Benedikt Monin
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
- German Centre for Infection Research (DZIF), partner-site Cologne-Bonn, Bonn, Germany
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Xiang X, Peng B, Liu K, Wang T, Ding P, Li H, Zhu Y, Ming Y. Association between salivary microbiota and renal function in renal transplant patients during the perioperative period. Front Microbiol 2023; 14:1122101. [PMID: 37065138 PMCID: PMC10090686 DOI: 10.3389/fmicb.2023.1122101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/07/2023] [Indexed: 03/31/2023] Open
Abstract
IntroductionRenal transplantation is an effective treatment for the end stage renal disease (ESRD). However, how salivary microbiota changes during perioperative period of renal transplant recipients (RTRs) has not been elucidated.MethodsFive healthy controls and 11 RTRs who had good recovery were enrolled. Saliva samples were collected before surgery and at 1, 3, 7, and 14 days after surgery. 16S rRNA gene sequencing was performed.ResultsThere was no significant difference in the composition of salivary microbiota between ESRD patients and healthy controls. The salivary microbiota of RTRs showed higher operational taxonomic units (OTUs) amount and greater alpha and beta diversity than those of ESRD patients and healthy controls, but gradually stabilized over time. At the phylum level, the relative abundance of Actinobacteria, Tenericutes and Spirochaetes was about ten times different from ESRD patients or healthy controls for RTRs overall in time. The relative abundance of Bacteroidetes, Fusobacteria, Patescibacteria, Leptotrichiaceae and Streptococcaceae was correlated with serum creatinine (Scr) after renal transplantation.DiscussionIn short, salivary microbiota community altered in the perioperative period of renal transplantation and certain species of salivary microbiota had the potential to be a biomarker of postoperative recovery.
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Affiliation(s)
- Xuyu Xiang
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Bo Peng
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Kai Liu
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Tianyin Wang
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Peng Ding
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Hao Li
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Yi Zhu
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
| | - Yingzi Ming
- The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China
- Engineering and Technology Research Center for Transplantation Medicine of National Health Commission, Changsha, China
- *Correspondence: Yingzi Ming
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Schuettfort G, Boekenkamp L, Cabello A, Cotter AG, De Leuw P, Doctor J, Górgolas M, Hamzah L, Herrmann E, Kann G, Khaykin P, Mallon PW, Mena A, Del Palacio Tamarit M, Sabin CA, Stephan C, Wolf T, Haberl AE. Antiretroviral treatment outcomes among late HIV presenters initiating treatment with integrase inhibitors or protease inhibitors. HIV Med 2020; 22:47-53. [PMID: 33047484 DOI: 10.1111/hiv.12962] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/08/2020] [Accepted: 08/26/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The aim of the study was to investigate the efficacy and safety of first-line antiretroviral therapy (ART) with integrase inhibitor (INI) or protease inhibitor (PI)-based regimens in patients with low CD4 cell counts and/or an AIDS-defining disease. METHODS We conducted a retrospective, multicentre analysis to investigate discontinuation proportions and virological response in patients with CD4 cell counts < 200 cells/µL and/or AIDS-defining disease when starting first-line ART. Proportions of those discontinuing ART were compared using univariate analysis. Virological response was analysed using the Food & Drug Administration (FDA) snapshot analysis (HIV-1 RNA < 50 HIV-1 RNA copies/mL at week 48). RESULTS Two hundred and eighteen late presenters were included in the study: 13.8% were women and 23.8% were of non-European ethnicity, and the mean baseline CD4 count was 91 cells/µL (standard deviation 112 cells/µL). A total of 131 late presenters started on INI- and 87 on PI-based treatment. It was found that 86.1% of patients treated with INIs and 81.1% of patients treated with PIs had a viral load < 50 copies/mL at week 48; proportions of discontinuation because of adverse events were 6.1% in the INI group and 11.5% in the PI group. No significant differences in discontinuation proportions were observed at week 12 or 48 between INI- and PI-based regimens (P = 0.76 and 0.52, respectively). Virological response was equally good in those receiving INIs and those receiving PIs (86.1% vs. 81.1%, respectively; P = 0.36). CONCLUSIONS In a European cohort of late presenters starting first-line INI or PI-based ART regimens, there were no significant differences in discontinuation proportions or virological response at week 48.
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Affiliation(s)
- G Schuettfort
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - L Boekenkamp
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - A Cabello
- Infectious Diseases Outpatient Clinic, Hospital Fundación Jiménez Díaz, University Autónoma of Madrid, Madrid, Spain
| | - A G Cotter
- Department of Infectious Diseases, HIV Molecular Research Group, University College Dublin (UCD) School of Medicine, Mater Misericordae University Hospital, Dublin, Ireland
| | - P De Leuw
- Infektiologikum Frankfurt, Frankfurt, Germany
| | - J Doctor
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - M Górgolas
- Infectious Diseases Outpatient Clinic, Hospital Fundación Jiménez Díaz, University Autónoma of Madrid, Madrid, Spain
| | - L Hamzah
- St George's Hospital NHS Foundation Trust, London, UK
| | - E Herrmann
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - G Kann
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - P Khaykin
- MainFacharzt Frankfurt, Frankfurt, Germany
| | - P W Mallon
- Department of Infectious Diseases, HIV Molecular Research Group, University College Dublin (UCD) School of Medicine, Mater Misericordae University Hospital, Dublin, Ireland
| | - A Mena
- Department of Infectious Diseases, A Coruña University Hospital, A Coruña, Spain
| | - M Del Palacio Tamarit
- Infectious Diseases Outpatient Clinic, Hospital Fundación Jiménez Díaz, University Autónoma of Madrid, Madrid, Spain
| | - C A Sabin
- University College London, London, UK
| | - C Stephan
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - T Wolf
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
| | - A E Haberl
- HIVCENTER, Department of Infectious Diseases, University Hospital Frankfurt, Frankfurt, Germany
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Associations between recent thymic emigrants and CD4+ T-cell recovery after short-term antiretroviral therapy initiation. AIDS 2020; 34:501-511. [PMID: 31794524 PMCID: PMC7050791 DOI: 10.1097/qad.0000000000002458] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Supplemental Digital Content is available in the text Objective: Around 20–30% of HIV-infected individuals (HIV+) on successful antiretroviral therapy (ART) fail to normalize their CD4+ T-cell counts. Various factors could contribute to the lack of immune reconstitution, one of them being thymic insufficiency. We aimed to explore associations between recent thymic emigrants (RTEs) and CD4+ T-cell recovery. Design: ART-naive HIV+ individuals who started ART with advanced AIDS were selected. Good versus poor immune reconstitution was defined by CD4+ gains above or below 100 CD4+ T cells/μl. The follow-up period was 6 months. Methods: Peripheral blood mononuclear cells were isolated and flow cytometry was used to characterize RTEs as the fraction of naive CD4+ T cells expressing CD31+, the platelet endothelial cell adhesion molecule. Markers of cellular activation, senescence, exhaustion and cycling were also assessed. Results: After 6 months on ART, HIV+ individuals with good immune reconstitution had higher absolute numbers of RTEs, compared with those with poor immune reconstitution, and these strongly correlated with CD4+ gains in those individuals with good immune reconstitution but not with poor immune reconstitution. We also found that CD8+ T-cell immune activation decreased as early as 2 months post-ART initiation in individuals with good immune reconstitution, but only at month 6 post-ART in individuals with poor immune reconstitution. Levels of immune activation were inversely correlated with the absolute numbers of RTEs in both groups, but more strongly so in individuals with poor immune reconstitution. Conclusion: We show that RTEs are linked to CD4+ T-cell recovery and that the degree of immune reconstitution is not directly linked to persistent immune activation.
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Risk Factors for Low CD4+ Count Recovery Despite Viral Suppression Among Participants Initiating Antiretroviral Treatment With CD4+ Counts > 500 Cells/mm3: Findings From the Strategic Timing of AntiRetroviral Therapy (START) Trial. J Acquir Immune Defic Syndr 2019; 81:10-17. [PMID: 30664075 DOI: 10.1097/qai.0000000000001967] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Low CD4 recovery among HIV-positive individuals who achieve virologic suppression is common but has not been studied among individuals initiating treatment at CD4 counts of >500 cells/mm. SETTING United States, Africa, Asia, Europe and Israel, Australia, Latin America. METHODS Among participants randomized to immediate antiretroviral therapy (ART) in the Strategic Timing of AntiRetroviral Therapy trial, low CD4 recovery was defined as a CD4 increase of <50 cells/mm from baseline after 8 months despite viral load of ≤200 copies/mL. Risk factors for low recovery were investigated with logistic regression. RESULTS Low CD4 recovery was observed in 39.7% of participants. Male sex [odds ratio (OR), 1.53; P = 0.007], lower screening CD4 cell counts (OR, 1.09 per 100 fewer cells/mm; P = 0.004), higher baseline CD8 cell counts (OR, 1.05 per 100 more cells/mm; P < 0.001), and lower HIV RNA levels (OR, 1.93 per log10 decrease; P < 0.001) were associated with low CD4 recovery. D-dimer had a quadratic association with low CD4 recovery, with lowest odds occurring at 0.32 μg/mL. At lower HIV RNA levels, the odds of low CD4 recovery were elevated across the levels of screening CD4 count; but at higher HIV RNA levels, the odds of low CD4 recovery were higher among those with lower vs. higher screening CD4. CONCLUSIONS Low CD4 recovery is frequent among participants starting ART at high CD4 counts. Risk factors include male sex, lower screening CD4 cell counts, higher CD8 cell counts, and lower HIV RNA levels. More follow-up is required to determine the impact of low CD4 recovery on clinical outcomes.
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Determinants of Restoration of CD4 and CD8 Cell Counts and Their Ratio in HIV-1-Positive Individuals With Sustained Virological Suppression on Antiretroviral Therapy. J Acquir Immune Defic Syndr 2019; 80:292-300. [PMID: 30531492 PMCID: PMC6392208 DOI: 10.1097/qai.0000000000001913] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND An increasing number of HIV-positive individuals now start antiretroviral therapy (ART) with high CD4 cell counts. We investigated whether this makes restoration of CD4 and CD8 cell counts and the CD4:CD8 ratio during virologically suppressive ART to median levels seen in HIV-uninfected individuals more likely and whether restoration depends on gender, age, and other individual characteristics. METHODS We determined median and quartile reference values for CD4 and CD8 cell counts and their ratio using cross-sectional data from 2309 HIV-negative individuals. We used longitudinal measurements of 60,997 HIV-positive individuals from the Antiretroviral Therapy Cohort Collaboration in linear mixed-effects models. RESULTS When baseline CD4 cell counts were higher, higher long-term CD4 cell counts and CD4:CD8 ratios were reached. Highest long-term CD4 cell counts were observed in middle-aged individuals. During the first 2 years, median CD8 cell counts converged toward median reference values. However, changes were small thereafter and long-term CD8 cell count levels were higher than median reference values. Median 8-year CD8 cell counts were higher when ART was started with <250 CD4 cells/mm. Median CD4:CD8 trajectories did not reach median reference values, even when ART was started at 500 cells/mm. DISCUSSION Starting ART with a CD4 cell count of ≥500 cells/mm makes reaching median reference CD4 cell counts more likely. However, median CD4:CD8 ratio trajectories remained below the median levels of HIV-negative individuals because of persisting high CD8 cell counts. To what extent these subnormal immunological responses affect specific clinical endpoints requires further investigation.
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Stirrup OT, Sabin CA, Phillips AN, Williams I, Churchill D, Tostevin A, Hill T, Dunn DT, Asboe D, Pozniak A, Cane P, Chadwick D, Churchill D, Clark D, Collins S, Delpech V, Douthwaite S, Dunn D, Fearnhill E, Porter K, Tostevin A, Stirrup O, Fraser C, Geretti AM, Gunson R, Hale A, Hué S, Lazarus L, Leigh-Brown A, Mbisa T, Mackie N, Orkin C, Nastouli E, Pillay D, Phillips A, Sabin C, Smit E, Templeton K, Tilston P, Volz E, Williams I, Zhang H, Fairbrother K, Dawkins J, O’Shea S, Mullen J, Cox A, Tandy R, Fawcett T, Hopkins M, Booth C, Renwick L, Renwick L, Schmid ML, Payne B, Hubb J, Dustan S, Kirk S, Bradley-Stewart A, Hill T, Jose S, Thornton A, Huntington S, Glabay A, Shidfar S, Lynch J, Hand J, de Souza C, Perry N, Tilbury S, Youssef E, Gazzard B, Nelson M, Mabika T, Mandalia S, Anderson J, Munshi S, Post F, Adefisan A, Taylor C, Gleisner Z, Ibrahim F, Campbell L, Baillie K, Gilson R, Brima N, Ainsworth J, Schwenk A, Miller S, Wood C, Johnson M, Youle M, Lampe F, Smith C, Tsintas R, Chaloner C, Hutchinson S, Walsh J, Mackie N, Winston A, Weber J, Ramzan F, Carder M, Leen C, Wilson A, Morris S, Gompels M, Allan S, Palfreeman A, Lewszuk A, Kegg S, Faleye A, Ogunbiyi V, Mitchell S, Hay P, Kemble C, Martin F, Russell-Sharpe S, Gravely J, Allan S, Harte A, Tariq A, Spencer H, Jones R, Pritchard J, Cumming S, Atkinson C, Mital D, Edgell V, Allen J, Ustianowski A, Murphy C, Gunder I, Trevelion R, Babiker A. Associations between baseline characteristics, CD4 cell count response and virological failure on first-line efavirenz + tenofovir + emtricitabine for HIV. J Virus Erad 2019. [DOI: 10.1016/s2055-6640(20)30037-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Mengoli C, Basso M, Andreis S, Scaggiante R, Cruciani M, Ferretto R, Panese S, Manfrin V, Francisci D, Schiaroli E, Maffongelli G, Sarmati L, Andreoni M, Baldelli F, Palu' G, Parisi SG. Role of pretreatment variables on plasma HIV RNA value at the sixth month of antiretroviral therapy including all first line drugs in HIV naïve patients: A path analysis approach. PLoS One 2019; 14:e0213160. [PMID: 30856186 PMCID: PMC6411145 DOI: 10.1371/journal.pone.0213160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 02/15/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND AND AIMS We investigated the conditioning roles of viral tropism and other variables on plasma HIV RNA levels after 6 months of combination antiretroviral therapy (cART) in an HIV-infected Italian naïve population using regression tree, random forest regression, and path analysis (PA). Patients in this multicenter observational study were treated with all antiviral drugs that are currently recommended as first-line therapies. METHODS Adult patients with chronic HIV infection were enrolled at the beginning of first-line cART (T0). The main variables were age, gender, tropism, "lcd4_0" and "lcd4_6" (log10 CD4+counts at T0 and after 6 months of cART, respectively), and "lrna0" (log10 HIV RNA at T0). Regression tree and random forest analyses were applied. The predictive effect on lrna6 (log10-transformed plasma HIV RNA after 6 months of cART) was also investigated via PA (x4->lcd4_0->lrna0->lrna6) with a treatment selection step included as a dependent (mediator) variable for each third drug and, as predictive covariates, age, female, x4_10, x4_5, lcd4_0, and lrna0. Tropism was assessed in plasma using the Geno2pheno algorithm with 2 false positive rate (FPR) cut-offs: 5% (x4_5) and 10% (x4_10). RESULTS The study included 571 subjects (21% x4_10 and 10.7% x4_5). The only important predictor of lrna6 was lrna0, and a positive indirect effect of bearing X4 virus in plasma was suggested. A significant direct positive effect of protease inhibitors on lrna6 was found (p = 0.022), and a significant negative effect of integrase strand transfer inhibitor (INSTI) was also detected (p = 0.003 for FPR ≤ 5% and p = 0.01 for FPR < 10%). PA predicted mean residual viremias of 40 copies/mL without INSTI and 3 copies/mL with INSTI. CONCLUSIONS PA indicated a possible indirect role of HIV tropism on lrna6 with both FPR < 10% and ≤ 5%. Patients treated with INSTI had a predicted residual viremia of 3 copies/mL.
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Affiliation(s)
- Carlo Mengoli
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Monica Basso
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Samantha Andreis
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Renzo Scaggiante
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | | | - Roberto Ferretto
- Clinical Infectious Diseases, Santorso Hospital, Santorso (VI), Italy
| | - Sandro Panese
- Clinical Infectious Diseases, Mestre Hospital, Venezia, Italy
| | - Vinicio Manfrin
- Clinical Infectious Diseases, Vicenza Hospital, Vicenza, Italy
| | | | | | | | - Loredana Sarmati
- Clinical Infectious Diseases, Tor Vergata University, Roma, Italy
| | - Massimo Andreoni
- Clinical Infectious Diseases, Tor Vergata University, Roma, Italy
| | - Franco Baldelli
- Clinical Infectious Diseases, University of Perugia, Perugia, Italy
| | - Giorgio Palu'
- Department of Molecular Medicine, University of Padova, Padova, Italy
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CD4+ cell count recovery following initiation of HIV antiretroviral therapy in older childhood and adolescence. AIDS 2018; 32:1977-1982. [PMID: 29927784 PMCID: PMC6125740 DOI: 10.1097/qad.0000000000001905] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Supplemental Digital Content is available in the text Objective: To investigate CD4+ cell count recovery following ART initiation in perinatally HIV-infected children diagnosed in later childhood. Design: Observational prospective cohort study of newly diagnosed children aged 6–15 in Harare, Zimbabwe. Methods: Participants were enrolled into a cohort at seven primary healthcare clinics between January 2013 and January 2015. ART was initiated according to national guidelines and CD4+ cell counts were performed 6-monthly over 18 months. The relationship between CD4+ cell count and time on ART was investigated using regression analysis with fixed (population) and random (individual) effects, and age at ART initiation as a covariate. Results: Of the 307 participants who initiated ART, the median age at initiation was 11.7 years (interquartile range 9.6–13.8). The addition of an individual intercept and slope as random effects significantly improved the model fit compared with a fixed effects-only model. CD4+ response (using a square-root transformation) was best modelled using a two-knot linear spline, with significant effects of time on ART and age at ART initiation. Younger children had a higher CD4+ cell count at ART initiation (−17.9 cells/μl per year of age), an accelerated increase during the first 3 months on ART (−38.9 cells/μl per year of age at day 84), and a sustained higher CD4+ cell count. Conclusion: Earlier ART initiation in older children is associated with accelerated CD4+ cell count recovery and lasting immune reconstitution. Our findings support WHO guidance recommending ART initiation in all children, irrespective of disease stage and CD4+ cell count.
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Brief Report: Drop in CD4+ Counts Below 200 Cells/μL After Reaching (or Starting From) Values Higher than 350 Cells/μL in HIV-Infected Patients With Virological Suppression. J Acquir Immune Defic Syndr 2018; 76:417-422. [PMID: 28816721 DOI: 10.1097/qai.0000000000001522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The aim of the study was to quantify the risk of a drop in CD4 counts below 200 cells/μL after reaching values >350 cells/μL on antiretroviral therapy (ART) (or after starting ART with CD4 count >350 cells/μL) in the absence of virological failure. SETTING Ambulatory care services, Italy. METHODS Prospective cohort study of patients enrolled in the ICONA Foundation Study cohort who started ART with >350 CD4/μL or with ≤350 CD4/μL and reached values >350 cells/μL after virological suppression (VS, defined by 2 consecutive viral loads ≤50 copies/mL). The date of CD4 count >350 was the baseline for the analysis and those with ≥1 viral load and CD4 count after baseline were included. The primary end point was the cumulative risk (estimated using the Kaplan-Meier method) of a CD4 drop below 200 cells/μL over follow-up, which was censored at the date of virological failure (confirmed HIV-RNA >50 copies/mL), death, or last visit. RESULTS Six thousand six hundred sixty-three patients were included. A confirmed CD4 drop below 200 cells/μL was never observed over a median follow-up of 45 (Q1: 21, Q3: 89) months, as long as VS was maintained. Upper limits of the 97.5% confidence interval of rates of confirmed CD4 drop below 200 cells/μL were 0.28 and 0.38/1000 person-years of follow-up for patients with ≤350 and >350 CD4 cells/μL at starting ART. CONCLUSIONS In patients who started ART in Italy with >350 CD4 cells/μL or reached >350 CD4 cells/μL after VS, the risk of a CD4 drop below 200 cells/μL in those maintaining VS was negligible.
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HIV-Specific CD8 T Cells Producing CCL-4 Are Associated With Worse Immune Reconstitution During Chronic Infection. J Acquir Immune Defic Syndr 2017; 75:338-344. [PMID: 28418988 DOI: 10.1097/qai.0000000000001392] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Immunological nonresponse represents the Achilles heel in the combination antiretroviral therapy (cART) effectiveness, and increases risk of clinical events and death. CD8 T cells play a crucial role in controlling HIV replication, and polyfunctional HIV-specific CD8 T cells have been associated with nonprogressive HIV infection. However, the possible role of polyfunctional CD8 T cells in predicting posttreatment immune reconstitution has not yet been explored. The aim of this study was to identify functional markers predictive of immunological response to cART in chronic HIV-infected patients. METHODS A cohort of chronic HIV-infected individuals naive to cART were enrolled in the ALPHA study. CD4/CD8 T-cell subsets, their differentiation/activation, as well as susceptibility to apoptosis were analyzed before and after 12 months of cART. Moreover, CD8 T cells polyfunctional response after HIV antigenic stimulation was also assessed. RESULTS Results showed a significant correlation between worse CD4 T-cell restoration and low frequency of naive CD4 T cells, high frequency of effector memory CD4 T cells, and high susceptibility to apoptosis of CD4 T cells all before cART. Moreover, CD8 functional subsets expressing total C-C motif chemokine ligand 4 (CCL-4) or in combination with CD107a and interferon gamma (IFNγ) were negatively associated with immune reconstitution. CONCLUSIONS In conclusion, our study shows that a more differentiated phenotype of CD4 T cells and CCL-4-producing CD8 T cells could represent valuable predictors of worse immune reconstitution. These parameters may be used as tools for identifying patients at risk of immunological failure during cART and eventually represent the basis for innovative therapeutic strategies.
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Ford N, Meintjes G, Vitoria M, Greene G, Chiller T. The evolving role of CD4 cell counts in HIV care. Curr Opin HIV AIDS 2017; 12:123-128. [PMID: 28059957 DOI: 10.1097/coh.0000000000000348] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The role of the CD4 cell count in the management of people living with HIV is once again changing, most notably with a shift away from using CD4 assays to decide when to start antiretroviral therapy (ART). This article reflects on the past, current and future role of CD4 cell count testing in HIV programmes, and the implications for clinicians, programme managers and diagnostics manufacturers. RECENT FINDINGS Following the results of recent randomized trials demonstrating the clinical and public health benefits of starting ART as soon as possible after HIV diagnosis is confirmed, CD4 cell count is no longer recommended as a way to decide when to initiate ART. For patients stable on ART, CD4 cell counts are no longer needed to monitor the response to treatment where HIV viral load testing is available. Nevertheless CD4 remains the best measurement of a patient's immune and clinical status, the risk of opportunistic infections, and supports diagnostic decision-making, particularly for patients with advanced HIV disease. SUMMARY As countries revise guidelines to provide ART to all people living with HIV and continue to scale up access to viral load, strategic choices will need to be made regarding future investments in CD4 cell count and the appropriate use for clinical disease management.
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Affiliation(s)
- Nathan Ford
- aDepartment of HIV and Global Hepatitis Programme, World Health Organization, Geneva, Switzerland bDivision of Infectious Diseases and HIV Medicine, Department of Medicine cClinical Infectious Diseases Research Initiative, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa dMycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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