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Broadly neutralizing antibody responses in a Chinese acute HIV-1 infection cohort of men who have sex with men

  • Linhong Yao ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    ☯ These authors are equal first authors on this work.

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

  • Yang Gao ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    ☯ These authors are equal first authors on this work.

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

  • Wen Tian ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    ☯ These authors are equal first authors on this work.

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

  • Haibo Ding,

    Roles Data curation, Investigation

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

  • Hong Shang ,

    Roles Conceptualization, Project administration, Supervision, Writing – original draft, Writing – review & editing

    hongshang100@hotmail.com (HS); xxhan@yeah.net (XH)

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

  • Xiaoxu Han

    Roles Conceptualization, Funding acquisition, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    hongshang100@hotmail.com (HS); xxhan@yeah.net (XH)

    Affiliations State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, NHC Key Laboratory of AIDS Prevention and Treatment, National Clinical Research Center for Laboratory Medicine, The First Hospital of China Medical University, China Medical University, Shenyang, China, Key Laboratory of AIDS Immunology, Chinese Academy of Medical Sciences, Shenyang, China, Key Laboratory of AIDS Immunology of Liaoning Province, Shenyang, China, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China

Abstract

Numerous broadly neutralizing antibodies (bnAbs) have been isolated from individuals with chronic HIV-1 infection, yet eliciting bnAbs through active immunization remains challenging. Investigating naturally infected patients whose plasma exhibits broadly neutralizing activity may reveal the factors driving bnAb development and inform vaccine design. We analyzed the clinical, immunological, and virological correlates of bnAb responses in a longitudinally followed, antiretroviral therapy (ART)-naïve, acute HIV-1 infection (AHI) cohort (n = 52) of men who have sex with men (MSM) in Shenyang, China. Neutralizing activity was assessed in participant plasma samples collected at the last available time point (LTP), prior to ART initiation, loss to follow-up, or the study data cutoff (median: 3.82 years, range: 3.14–4.82 years). To determine the occurrence and timing of HIV-1 multiple infection, we amplified and deep-sequenced the env C2–V4 and pol-RT regions (~450 bp) from plasma collected at baseline, one year, two years, and LTP. Individuals with multiple infection developed significantly stronger bnAb responses at LTP than those with monoinfection. Notably, acquisition of a second HIV-1 strain within or beyond one year after primary infection was associated with enhanced bnAb responses, with a higher odds ratio (OR) observed for superinfection occurring beyond one year. These findings indicate the potential role of immunogen diversity and immunization timing in bnAb induction, supporting vaccine strategies that mimic delayed sequential antigen delivery.

Author summary

Understanding the processes that drive the development of broadly neutralizing antibodies (bnAbs) during natural HIV-1 infection is crucial for effective vaccine design. In this study, we investigated clinical, immunological, and virological factors associated with bnAb responses in a cohort of men who have sex with men (MSM) with acute HIV-1 infection (AHI) in Shenyang, China. We found that individuals with multiple infection exhibited stronger bnAb responses, regardless of whether the second strain was acquired within or beyond one year after primary infection, with a greater effect in the latter group. These findings suggest that delayed sequential exposure to diverse HIV-1 strains may promote bnAb development and inform future vaccine strategies.

Introduction

Human immunodeficiency virus (HIV) exhibits an extraordinary replication capacity and mutation rate [1], posing significant challenges to vaccine development. Broadly neutralizing antibodies (bnAbs) neutralize diverse HIV-1 subtypes by targeting semi-conserved regions of the envelope glycoprotein: V1V2 apex, V3-glycan site, CD4 binding site (CD4bs), gp120-gp41 interface, gp120 silent face, gp41 fusion peptide, and the membrane-proximal external region (MPER) [2]. Consequently, eliciting bnAbs has become a major goal in HIV vaccine design. Recent animal studies and clinical trials have demonstrated the successful induction of rare bnAb precursors following vaccination, representing a critical advancement in the field [3,4]. However, the maturation of these precursors into potent bnAbs remains poorly understood. This can largely be attributed to the complex regulation of bnAb development by host factors, immune environment, and viral characteristics [5].

Broadly nAb responses usually develop 2–4 years after HIV-1 infection and are detectable in approximately 10–30% of infected individuals. Several factors have been associated with their development, including low CD4+ T-cell counts, specific HLA genotype, prolonged infection duration, viral subtype, high viral load, and exposure to HIV-1 multiple infection [612]. Among these, multiple infection has gained increasing attention for its potential role in promoting cross-reactive antibody responses. Multiple infection refers to the acquisition of genetically distinct HIV-1 strains, either simultaneously (coinfection) or sequentially (superinfection). Although most cases involve two strains (dual infection), rare instances of superinfection with three strains have been reported [1317]. These exposures may functionally mimic multivalent or prime-boost immunization strategies and provide important insights for bnAb-based vaccine design.

To better understand the determinants of bnAb responses, we analyzed clinical, immunological, and virological factors associated with bnAb development in a cohort of men who have sex with men (MSM) with acute HIV-1 infection (AHI) from Shenyang, China, aiming to inform immunogen design and optimize vaccination regimens.

Results

Broadly neutralizing antibody responses in the AHI cohort

Fifty-two participants were enrolled from an AHI prospective cohort in Shenyang, China [17,18]. All participants were followed for over two years and characterized by demographics, HIV-1 subtype, CD4⁺ and CD8 ⁺ T-cell counts, viral load, and disease progression (Table 1). To evaluate humoral immune responses, we assessed the plasma neutralizing activity at each participant’s last available time point (LTP) prior to antiretroviral therapy (ART) initiation, loss to follow-up, or the study data cutoff (median duration of infection: 3.82 years; range: 3.14–4.82 years). Neutralization assays were performed using a standardized global panel of 12 Env-pseudotyped tier 2 viruses representing major HIV-1 clades (A, B, C, G) and circulating recombinant forms (CRF01_AE, CRF07_BC, AC) (S1A Fig in S1 Text) [1923].

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Table 1. Characteristics of AHI cohort participants by neutralizing antibody response.

https://doi.org/10.1371/journal.ppat.1013822.t001

A neutralization score was calculated for each sample to reflect both breadth and potency as previously described (S1B Fig in S1 Text) [7,24,25]. 38.46% (20/52) of participants demonstrated broad neutralization (score ≥ 0.5), corresponding to a neutralization breadth ≥ 50% or a geometric mean titer (GMT) ≥ 60. Among these, 15.00% (3/20) achieved elite neutralization (score ≥ 1.0), corresponding to a neutralization breadth ≥ 67% and GMT ≥ 100 (Fig 1A, S1A Fig in S1 Text). Half of the participants maintained limited neutralization (0 < score < 0.5), whereas 11.54% (6/52) showed no detectable neutralizing activity (score = 0) (Fig 1A). Notably, neutralization scores were positively correlated with duration of infection (Spearman’s P = 0.0427, r = 0.2821; Fig 1B), consistent with the gradual development of bnAb responses over time.

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Fig 1. Neutralizing antibody responses in the AHI cohort.

(A) Distribution of participants across neutralization score categories at last available time point (LTP) prior to antiretroviral therapy (ART) initiation, loss to follow-up, or the study data cutoff, shown as a hollow donut chart. (B) Association between duration of infection and neutralization scores. Dashed black line indicates linear regression fit.

https://doi.org/10.1371/journal.ppat.1013822.g001

Multiple infection broadens and strengthens bnAb responses

To further explore whether viral exposure complexity influences bnAb development, we analyzed longitudinal HIV-1 sequences to track virus–antibody co-evolution. Building upon our previously established cohort framework with newly defined immunological endpoints [17], we amplified and deep-sequenced the env C2–V4 and pol-RT regions (~450 bp) from plasma collected at baseline, 1 year, 2 years, and LTP. Of the 52 participants, 39 were classified as monoinfected and 13 as multiply infected. CRF01_AE was the predominant subtype (40/52), followed by CRF07_BC. Participants with multiple infection included 2 coinfections and 11 superinfections, comprising 7 intrasubtype and 6 intersubtype events (Figs 2AB, S2 Fig in S1 Text). Longitudinal sequence data enabled estimation of secondary strain acquisition timing: 5 cases occurred within 1 year, 6 between 1–2 years, and 1 beyond 2 years after primary infection; one individual (Participant ID: 320480) experienced triple infection, with superinfection events within 1 year and again beyond 2 years (Fig 2B).

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Fig 2. HIV-1 infection profiles and comparative analyses of bnAb responses across groups.

(A) Nested donut chart showing the number and proportion of participants (n, %) by HIV-1 infection types and viral subtypes. (B) Timeline of viral infections in participants with multiple infection. Participant IDs are listed on the left. Gray horizontal lines indicate follow-up duration since primary infection, with gray vertical ticks marking LTP. Red line segments indicate the estimated multiple infection windows for the second and third strains. (C-E) Group comparisons of neutralization scores at LTP used the Kruskal–Wallis test (panel C, across primary infection subtypes) and Mann–Whitney U tests (panel D, between infection types; panel E, between multiple infection types). * P < 0.05.

https://doi.org/10.1371/journal.ppat.1013822.g002

We evaluated subtype specificity of the neutralization profiles. Neutralization scores did not differ by primary infection subtypes (Fig 2C), and stratification by subtypes detected during follow-up likewise showed no group-level advantage of subtype-matched versus unmatched panel viruses, although a small subset exhibited stronger matched responses (S3 Fig in S1 Text). Separately, bnAb responses developed in 76.92% (10/13) of participants with multiple infection, compared to 25.64% (10/39) of those with monoinfection. Neutralization scores were significantly higher in the multiple infection group (P < 0.05; Fig 2D), with no significant difference between intrasubtype and intersubtype cases (Fig 2E).

Overall, our findings suggest that individuals with multiple infection are more likely to develop broadly neutralizing activity.

Timing of second HIV-1 strain acquisition correlates with bnAb responses

We next assessed whether the timing of second HIV-1 strain acquisition impacted bnAb development. Participants were stratified into broad or non-broad neutralizers based on a neutralization score threshold of 0.5. The distribution of second HIV-1 strain acquisition timing differed significantly between the two groups (P < 0.01, Table 1). In univariate analysis, acquisition of a second strain beyond one year after primary infection was significantly associated with enhanced bnAb responses (OR = 17.40, 95% CI: 1.75–172.62, P = 0.02; Table 2), while acquisition within one year showed a borderline association that did not reach statistical significance (OR = 5.80, 95% CI: 0.87–38.46, P = 0.07).

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Table 2. Factors associated with bnAb responses, analyzed by logistic regression.

https://doi.org/10.1371/journal.ppat.1013822.t002

In a multivariable logistic regression model adjusting for duration of infection, acquisition of a second strain within one year became significantly associated with bnAb responses (adjusted OR [aOR] = 9.37, 95% CI: 1.20–73.42, P = 0.03), suggesting a potential confounding effect of infection duration. Acquisition beyond one year after primary infection remained statistically significant (aOR = 12.58, 95% CI: 1.16–136.86, P = 0.04). Collectively, these findings indicate that multiple infection enhances bnAb development, with a stronger effect observed when the second strain was acquired beyond one year after primary infection. In the sensitivity analysis, application of the Gaussian mixture model (GMM)-derived cutoff (0.48) resulted in no reclassification relative to the primary definition (S4 Fig in S1 Text), supporting the robustness of our findings.

Discussion

We explored factors associated with bnAb responses during natural HIV-1 infection to provide empirical evidence for HIV immunization strategies. Our results highlight two key aspects: (i) multiple infection facilitates broadly neutralizing activity, supporting the design of multivalent antigen combinations; and (ii) second strain acquisition within or beyond 1 year after primary infection is associated with bnAb responses, with delayed acquisition beyond 1 year showing a stronger effect. These results may inform the immunization schedule by incorporating extended prime-boost intervals.

In our AHI cohort, 25% of participants experienced multiple infection. Regular sampling intervals and continuous viral sequence monitoring enabled us to precisely trace the timing of second strain acquisition and assess its relationship to bnAb development. Two mechanisms may underlie the observed association: (i) sustained stimulation of conserved epitopes shared across strains, promoting the maturation of existing bnAb lineages; and (ii) additive responses to strain-specific epitopes introduced by each infection, broadening the neutralization profiles [26].

Previous evidence linking multiple infection to bnAb responses has been inconsistent across cohorts, and the temporal dimension has not been systematically explored. In a Kenyan cohort of 12 superinfected women, most cases involved intra- or intersubtype superinfection with HIV-1 subtypes A, D, and C. These women developed stronger and broader bnAb responses, consistent with our findings. However, the wide range of superinfection timing (from < 2 months to 5 years after primary infection) restricted the ability to assess how timing influences bnAb development [10]. In a San Diego cohort of 10 intrasubtype B superinfection cases, most secondary infections occurred within 1 year, when humoral immunity is still maturing and vulnerability to superinfection may be increased. Antibody responses improved after superinfection, but bnAb development was rare; only one participant developed broad neutralization during follow-up, providing limited information on timing-related effects [27]. Our study confirmed the association between multiple infection and bnAb enhancement in a CRF-dominated epidemic setting, and extended previous work by revealing that both early (≤ 1 year) and delayed (> 1 year) secondary infection were linked to stronger bnAb responses, with delayed events showing greater effect estimates.

These findings underscore the importance of the timing of secondary antigen exposure in shaping bnAb development, offering insights relevant to the design of sequential immunization regimens. The subgroup with multiple infection was relatively small (n = 13), which limits statistical power and results in wide confidence intervals for timing comparison. Residual confounding by infection duration may still be present even after adjustment. Despite these limitations, this ART-naïve AHI cohort provides rare longitudinal data on natural bnAb evolution, which is becoming increasingly difficult to document under universal “treat all” ART guidelines. Furthermore, the identification of broad neutralizers from diverse infection types lays the foundation for future research on viral-antibody co-evolution and ultimately advances the rational engineering of next-generation HIV vaccine immunogens.

Materials and methods

Ethics statement

Ethical approval was obtained from the Ethics Committee of the First Affiliated Hospital of China Medical University (approval Nos. [2008]73, [2018]35, and [2023]605). All participants provided written informed consent before enrollment and sample collection. Clinical management, including ART initiation, followed national guidelines in effect at the time and was not altered for research purposes. After China adopted the “treat all” policy in 2016, ART was offered to all diagnosed individuals; only one participant voluntarily declined ART despite repeated counseling. All procedures complied with institutional and national ethical standards and with the principles of the Declaration of Helsinki and its later amendments.

Study population

Fifty-two participants with AHI were enrolled between 2008 and 2014 through prospective follow-up of a high-risk MSM population at the First Affiliated Hospital of China Medical University [17,18], with follow-up continuing until April 2017. Inclusion criteria were: 1) the estimated time of HIV-1 infection was < 3 months; 2) a follow-up period > 2 years, during which longitudinal plasma samples, CD4 ⁺ T-cell counts, viral loads, and epidemiological data were collected; and 3) no initiation of ART during the study period. Infection dates were estimated by a standardized procedure [28,29]: participants were followed at 10-week serologic intervals to detect seroconversion; if a single unequivocal exposure was reported, that date was used and verified against the Fiebig stage at diagnosis; otherwise, the midpoint between the last seronegative and the first seropositive visit was used.

Additional details on the materials and methods, key reagents, and experimental procedures are provided in S2 Text.

Supporting information

S1 Text. Supplementary figures with corresponding legends.

https://doi.org/10.1371/journal.ppat.1013822.s001

(DOCX)

S2 Text. Supplementary experimental details.

https://doi.org/10.1371/journal.ppat.1013822.s002

(DOCX)

Acknowledgments

We sincerely thank all clinical investigators and staff of the AHI cohort for their invaluable support and commitment to this study. We are also deeply grateful to the individuals who generously consented to participate and provided blood samples, making this research possible.

References

  1. 1. Moir S, Chun TW, Fauci AS. Pathogenic mechanisms of HIV disease. Annu Rev Pathol Mech Dis. 2011;6(1):223–48. https://doi.org/10.1146/annurev-pathol-011110-130254  pmid:21034222
  2. 2. Haynes BF, Wiehe K, Borrow P, Saunders KO, Korber B, Wagh K, et al. Strategies for HIV-1 vaccines that induce broadly neutralizing antibodies. Nat Rev Immunol. 2023;23(3):142–58. pmid:35962033
  3. 3. Leggat DJ, Cohen KW, Willis JR, Fulp WJ, deCamp AC, Kalyuzhniy O. Vaccination induces HIV broadly neutralizing antibody precursors in humans. Science. 2022;378(6623):eadd6502. https://doi.org/10.1126/science.add6502  pmid:36454825
  4. 4. Xie Z, Lin YC, Steichen JM, Ozorowski G, Kratochvil S, Ray R. mRNA-LNP HIV-1 trimer boosters elicit precursors to broad neutralizing antibodies. Science. 2024;384(6697):eadk0582. https://doi.org/10.1126/science.adk0582  pmid:38753770
  5. 5. Landais E, Sok D. Nature or nurture: Factors that influence bnAb development. Cell Host Microbe. 2021;29(4):540–2. pmid:33857415
  6. 6. Gray ES, Madiga MC, Hermanus T, Moore PL, Wibmer CK, Tumba NL, et al. The neutralization breadth of HIV-1 develops incrementally over four years and is associated with CD4+ T cell decline and high viral load during acute infection. J Virol. 2011;85(10):4828–40. pmid:21389135
  7. 7. Landais E, Huang X, Havenar-Daughton C, Murrell B, Price MA, Wickramasinghe L, et al. Broadly neutralizing antibody responses in a large longitudinal sub-saharan HIV primary infection cohort. PLoS Pathog. 2016;12(1):e1005369. pmid:26766578
  8. 8. Zhang M, Jiao Y, Wang S, Zhang L, Huang Z, Chen Y, et al. Serum neutralizing activities from a Beijing homosexual male cohort infected with different subtypes of HIV-1 in China. PLoS One. 2012;7(10):e47548. pmid:23094060
  9. 9. Rusert P, Kouyos RD, Kadelka C, Ebner H, Schanz M, Huber M, et al. Determinants of HIV-1 broadly neutralizing antibody induction. Nat Med. 2016;22(11):1260–7. pmid:27668936
  10. 10. Cortez V, Odem-Davis K, McClelland RS, Jaoko W, Overbaugh J. HIV-1 superinfection in women broadens and strengthens the neutralizing antibody response. PLoS Pathog. 2012;8(3):e1002611. pmid:22479183
  11. 11. Lewitus E, Townsley SM, Li Y, Donofrio GC, Dearlove BL, Bai H, et al. HIV-1 infections with multiple founders associate with the development of neutralization breadth. PLoS Pathog. 2022;18(3):e1010369. pmid:35303045
  12. 12. Sheward DJ, Hermanus T, Murrell B, Garrett N, Abdool Karim SS, Morris L. HIV coinfection provides insights for the design of vaccine cocktails to elicit broadly neutralizing antibodies. J Virol. 2022;96(14):e00324-22. https://doi.org/10.1128/jvi.00324-22 pmid:35758668
  13. 13. van der Kuyl AC, Cornelissen M. Identifying HIV-1 dual infections. Retrovirology. 2007;4:67. pmid:17892568
  14. 14. Ronen K, McCoy CO, Matsen FA, Boyd DF, Emery S, Odem-Davis K, et al. HIV-1 superinfection occurs less frequently than initial infection in a cohort of high-risk Kenyan women. PLoS Pathog. 2013;9(8):e1003593. pmid:24009513
  15. 15. Triple HIV-1 Infection. N Engl J Med. 2005;352(24):2557–9. https://doi.org/10.1056/nejm200506163522420 pmid:15958817
  16. 16. Palumbo PJ, Grant-McAuley W, Grabowski MK, Zhang Y, Richardson P, Piwowar-Manning E, et al. Multiple infection and human immunodeficiency virus superinfection among persons who inject drugs in Indonesia and Ukraine. J Infect Dis. 2022;226(12):2181–91. pmid:36346452
  17. 17. Luan H, Han X, Yu X, An M, Zhang H, Zhao B, et al. Dual infection contributes to rapid disease progression in men who have sex with men in China. J Acquir Immune Defic Syndr. 2017;75(4):480–7. pmid:28490044
  18. 18. Zhang J, Huang X-J, Tang W-M, Chu Z, Hu Q, Liu J, et al. Rapid clinical progression and its correlates among acute HIV infected men who have sex with men in China: findings from a 5-year multicenter prospective cohort study. Front Immunol. 2021;12:712802. pmid:34367176
  19. 19. deCamp A, Hraber P, Bailer RT, Seaman MS, Ochsenbauer C, Kappes J, et al. Global panel of HIV-1 Env reference strains for standardized assessments of vaccine-elicited neutralizing antibodies. J Virol. 2014;88(5):2489–507. pmid:24352443
  20. 20. Williams KL, Wang B, Arenz D, Williams JA, Dingens AS, Cortez V, et al. Superinfection Drives HIV Neutralizing Antibody Responses from Several B Cell Lineages that Contribute to a Polyclonal Repertoire. 2018;23(3):682–91. https://doi.org/10.1016/j.celrep.2018.03.082 pmid:29669274
  21. 21. Tu JJ, Kumar A, Giorgi EE, Eudailey J, LaBranche CC, Martinez DR, et al. Vertical HIV-1 transmission in the setting of maternal broad and potent antibody responses. J Virol. 2022;96(11):e00231-22. https://doi.org/10.1128/jvi.00231-22 pmid:35536018
  22. 22. Gai Y, Gao N, Mou Z, Yang C, Wang L, Ji W, et al. Recapitulation of HIV-1 neutralization breadth in plasma by the combination of two broadly neutralizing antibodies from different lineages in the Same SHIV-infected rhesus macaque. Int J Mol Sci. 2024;25(13):7200. pmid:39000308
  23. 23. Gao N, Gai Y, Meng L, Wang C, Wang W, Li X, et al. Development of neutralization breadth against diverse HIV-1 by increasing Ab-Ag interface on V2. Adv Sci (Weinh). 2022;9(15):e2200063. pmid:35319830
  24. 24. Granger LA, Huettner I, Debeljak F, Kaleebu P, Schechter M, Tambussi G. Broadly neutralizing antibody responses in the longitudinal primary HIV-1 infection short pulse anti-retroviral therapy at seroconversion cohort. AIDS. 2021;35(13):2073–84. https://doi.org/10.1097/qad.0000000000002988 pmid:34127581
  25. 25. Simek MD, Rida W, Priddy FH, Pung P, Carrow E, Laufer DS, et al. Human immunodeficiency virus type 1 elite neutralizers: individuals with broad and potent neutralizing activity identified by using a high-throughput neutralization assay together with an analytical selection algorithm. J Virol. 2009;83(14):7337–48. https://doi.org/10.1128/jvi.00110-09 pmid:19439467
  26. 26. Sheward DJ, Marais J, Bekker V, Murrell B, Eren K, Bhiman JN. HIV superinfection drives de novo antibody responses and not neutralization breadth. Cell Host Microbe. 2018;24(4):593–9. https://doi.org/10.1016/j.chom.2018.09.001 pmid:30269971
  27. 27. Wagner GA, Landais E, Caballero G, Phung P, Kosakovsky Pond SL, Poignard P, et al. Intrasubtype B HIV-1 superinfection correlates with delayed neutralizing antibody response. J Virol. 2017;91(17):e00475-17. pmid:28615205
  28. 28. Han X, Xu J, Chu Z, Dai D, Lu C, Wang X, et al. Screening acute HIV infections among Chinese men who have sex with men from voluntary counseling & testing centers. PLoS One. 2011;6(12):e28792. pmid:22194914
  29. 29. Cui H, Geng W, Sun H, Han X, An M, Jiang Y. Rapid CD4 T-cell decline is associated with coreceptor switch among MSM primarily infected with HIV-1 CRF01_AE in Northeast China. AIDS. 2019;33(1):13–22. https://doi.org/10.1097/qad.0000000000001981 pmid:22194914