Skip to main content

Compare mDCs and pDCs between two distinct patients groups in acute HIV-1 infection

Abstract

The role of DCs in primary HIV-1 infection remains uncertain. In this study, we enrolled two different groups of subjects with acute HIV-1 infection. One group progressed to CD4 counts below 200 cells/μl within 2 years of HIV-1 infection (CD4 Low Group), while the other group maintained CD4 counts above 500 cells/μl (CD4 High Group). We did not find statistical difference in the pDC number between the two groups during acute HIV-1 infection. However, the mDC number was significantly lower in the CD4 Low Group than in the CD4 High Group.

Introduction

Understanding how the innate immune response affects the outcome of HIV-1 infection in acute HIV-1 infection will open opportunities for vaccine development that can utilize the innate immunity to enhance viral control with minimal pathogenesis. Dendritic cells (DCs) are particularly important innate immune cells and HIV-1 exploits DCs to enhance infection. Thus, DCs are a critical link between virus, CD4+ T-cells, and CD8+ T-cells. DCs are divided into two broad subsets, myeloid (mDC) and plasmacytoid (pDC), based on phenotype, function, and tissue localization. Although details of these subsets are debated and vary based on species, pDCs are specialized early type 1 interferon-secreting cells that initiate antiviral adaptive immune responses. mDCs differentiate from immature bone marrow (BM)-derived precursors and function as peripheral sentinels by transmitting antigen derived signals to draining lymph nodes (LN). mDCs secrete high levels of interleukin-12 (IL-12) and are key players in amplifying adaptive immune responses[1]. Early immune events during HIV infection are associated with the rate of subsequent disease progression. A role for DCs in controlling HIV-1 replication during primary infection has been difficult to assess, given the difficulties in finding individuals with acute HIV infection. The aim of this study is to study the relationship between DCs number in acute infection and disease progression.

Materials and methods

Patients

35 patients recently infected with HIV-1 were recruited from an HIV-1-negative high-risk MSM (men who have sex with men) cohort. They were screened every 2 m for HIV-1 infection from October 2006 in the Beijing You’an Hospital [2]. Thirteen of the 35 patients showed rapid progression of HIV-1 disease, with CD4 counts < 200 cells/ul within 2 y post-infection (CD4 Low Group), while 22/35 cases enrolled in the study maintained a CD4 count higher than 500 cells/ul (CD4 High Group). The progression of early HIV-1 infection can be depicted as six discrete stages, as proposed by Fiebig et al. [3]. All the 35 enrolled patients were in Fiebig stage III. The project was reviewed and approved by the Beijing You’an Hospital Research Ethics Committee, and patients participated in the study following informed consent. Demographic and immunologic characteristics of the patients are reported in Table  1.

Table 1 Characteristics of patients in this study

Flow cytometric analysis

To identify DCs, the following antibodies from BD Pharmingen (San Diego, CA, USA) were used: Lin-FITC, CD123-PE and CD11c-APC. At least 200,000 events were acquired for each sample. mDCs were identified as Lin-CD123-CD11c+, while pDCs were Lin-CD123 + CD11c-(Figure 1a). DC counts were calculated as follows, using hemocytometer data for lymphocytes and monocytes and flow cytometry data for DC windows, as described previously[4, 5].

Figure 1
figure 1

Comparison of DCs between the three groups. (a) Analysis of pDC and mDC by flow cytometry, Comparison pDC (b) and mDC (c) number between normal control and CD4 High Group and CD4 Low Group. Bars indicate median with interquartile range. ***p < 0.001, **p < 0.01, *p < 0.05.

Absolute blood CD4+ T-cell counts were measured using a FACSCalibur flow cytometer (BD, Franklin Lakes, NJ, USA). Viral load was measured by the Amplicor (Roche Diagnostic Systems, Indianapolis, IN, USA) HIV-1 monitor ultrasensitive method with a detection limit of 40 copies/mL of plasma.

Assays for plasma HIV-1 RNA

Plasma HIV RNA was quantified by real-time PCR (Roche, Germany), a super-sensitive method. The sensitivity of detection of this assay was 40 copies/ml.

Statistical analysis

Comparisons were performed using the nonparametric independent sample tests, and all reported p values were two-sided and considered significant at p < 0.05. All data were analyzed using SPSS statistical software (version 16.0; SPSS, Chicago, IL, USA).

Results

To study the relationship between DCs and disease progression, we compared the pDC and mDC number in Fiebig stage III between the CD4 High, CD4 Low, and normal control groups. We found a higher pDC number in normal controls compared with the CD4 High and CD4 Low groups (Figure 1b). The pDC number between the CD4 High and the CD4 Low groups did not differ significantly (Figure 1b). However, mDCs were significantly lower in the CD4 Low relative to CD4 High and normal controls (Figure 1c). There was no statistically significant difference in the mDC number between the CD4 High and normal controls (Figure 1c). DC numbers were negatively correlated with HIV viral load (Table 2).

Table 2 Results of spearman correlation analysis

Discussion

Our results are consistent with reports that DCs are markedly reduced in number during acute HIV-1 infection[69], particularly pDCs. The mechanism behind the decline in pDC numbers in acute HIV infection is not clear. It could be because of apoptosis as a direct result of infection[10, 11] or mediated by TRAIL and Fas ligand–Fas interactions; it could be a consequence of compromised production of pDC precursors because of bone marrow infection; or it may reflect pDC migration to lymphoid tissues after HIV-induced activation.

mDCs express apolipoprotein B mRNA editing enzyme catalytic polypeptides (APOBECs), proteins that deaminate cytidine to uridine in nascent minus-strand viral DNA, blocking HIV replication[11, 12]. Mature mDCs increase APOBECG expression, explaining their relative resistance to HIV-1 infection. mDCs capture and process HIV-1, and present associated antigens to T-cells. Thus, the loss of mDCs may on the one hand decrease APOBECG expression. On the other hand, the loss of mDCs decrease their ability of capture and process HIV-1 and present associated antigen to T cells. Therefore, this may explain why the loss of mDC in acute HIV infection could lead to rapid disease progression.

In conclusion, we found that the loss of mDC rather than pDC from the blood during acute HIV infection is associated with rapid disease progression. However, key questions remain to be answered regarding tissue distribution, development, and functional regulation.

References

  1. Lehman TL, O’Halloran KP, Hoover EA, Avery PR: Utilizing the FIV model to understand dendritic cell dysfunction and the potential role of dendritic cell immunization in HIV infection. Vet Immunol Immunopathol. 2010, 134: 75-81. 10.1016/j.vetimm.2009.10.012

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  2. Jiao Y, Zhang T, Wang R, Zhang H, Huang X, Yin J, Zhang L, Xu X, Wu H: Plasma IP-10 is associated with rapid disease progression in early HIV-1 infection. Viral Immunol. 2012, 25: 333-337. 10.1089/vim.2012.0011

    Article  CAS  PubMed  Google Scholar 

  3. Fiebig EW, Wright DJ, Rawal BD, Garrett PE, Schumacher RT, Peddada L, Heldebrant C, Smith R, Conrad A, Kleinman SH, Busch MP: Dynamics of HIV viremia and antibody seroconversion in plasma donors: implications for diagnosis and staging of primary HIV infection. AIDS. 2003, 17: 1871-1879. 10.1097/00002030-200309050-00005

    Article  PubMed  Google Scholar 

  4. Pacanowski J, Kahi S, Baillet M, Lebon P, Deveau C, Goujard C, Meyer L, Oksenhendler E, Sinet M, Hosmalin A: Reduced blood CD123+ (lymphoid) and CD11c + (myeloid) dendritic cell numbers in primary HIV-1 infection. Blood. 2001, 98: 3016-3021. 10.1182/blood.V98.10.3016

    Article  CAS  PubMed  Google Scholar 

  5. Zhang M, Zhang H, Zhang T, Ji Y, Jiao Y, Wu H: Longitudinal changes of peripheral blood DC subsets and regulatory T cells in Chinese chronic HIV-1-infected patients during antiretroviral therapy. PLoS One. 2012, 7: e37966- 10.1371/journal.pone.0037966

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. McMichael AJ, Borrow P, Tomaras GD, Goonetilleke N, Haynes BF: The immune response during acute HIV-1 infection: clues for vaccine development. Nat Rev Immunol. 2010, 10: 11-23.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Killian MS, Fujimura SH, Hecht FM, Levy JA: Similar changes in plasmacytoid dendritic cell and CD4 T-cell counts during primary HIV-1 infection and treatment. AIDS. 2006, 20: 1247-1252. 10.1097/01.aids.0000232231.34253.bd

    Article  CAS  PubMed  Google Scholar 

  8. Schmidt B, Fujimura SH, Martin JN, Levy JA: Variations in plasmacytoid dendritic cell (PDC) and myeloid dendritic cell (MDC) levels in HIV-infected subjects on and off antiretroviral therapy. J Clin Immunol. 2006, 26: 55-64. 10.1007/s10875-006-8401-3

    Article  PubMed  Google Scholar 

  9. Donaghy H, Pozniak A, Gazzard B, Qazi N, Gilmour J, Gotch F, Patterson S: Loss of blood CD11c (+) myeloid and CD11c (-) plasmacytoid dendritic cells in patients with HIV-1 infection correlates with HIV-1 RNA virus load. Blood. 2001, 98: 2574-2576. 10.1182/blood.V98.8.2574

    Article  CAS  PubMed  Google Scholar 

  10. Meyers JH, Justement JS, Hallahan CW, Blair ET, Sun YA, O’Shea MA, Roby G, Kottilil S, Moir S, Kovacs CM, Chun TW, Fauci AS: Impact of HIV on cell survival and antiviral activity of plasmacytoid dendritic cells. PLoS One. 2007, 2: e458- 10.1371/journal.pone.0000458

    Article  PubMed Central  PubMed  Google Scholar 

  11. Borrow P, Bhardwaj N: Innate immune responses in primary HIV-1 infection. Curr Opin HIV AIDS. 2008, 3: 36-44. 10.1097/COH.0b013e3282f2bce7

    Article  PubMed Central  PubMed  Google Scholar 

  12. Takaori-Kondo A: APOBEC family proteins: novel antiviral innate immunity. Int J Hematol. 2006, 83: 213-216. 10.1532/IJH97.05187

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported in part by the National Natural Science Foundation of China (81101250, 81371803), the National 12th Five-Year Major Projects of China (2012ZX10001-003, 2012ZX10001-006), Beijing Science and Technology Program funded (D141100000314005) and the Beijing Key Laboratory (BZ0089).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Tong Zhang or Hao Wu.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YJ drafted the manuscript and statistical analyses. XS participated in flow cytometric analysis. TZ followed up patients and collected samples. XS and XH assisted with manuscript and data anlysis. YJ and WL assisted with flow cytometric analysis and data acquisition. HW conceived the study and participated in the data analysis. HW supervised and coordinated the study. All authors have read and approved the final manuscript.

Yanmei Jiao, Xin Sun contributed equally to this work.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiao, Y., Sun, X., Huang, X. et al. Compare mDCs and pDCs between two distinct patients groups in acute HIV-1 infection. AIDS Res Ther 11, 22 (2014). https://doi.org/10.1186/1742-6405-11-22

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1742-6405-11-22

Keywords