Skip to main content
eLife logoLink to eLife
. 2022 Nov 7;11:e83030. doi: 10.7554/eLife.83030

T cell deficiency precipitates antibody evasion and emergence of neurovirulent polyomavirus

Matthew D Lauver 1, Ge Jin 1, Katelyn N Ayers 1, Sarah N Carey 1, Charles S Specht 2, Catherine S Abendroth 2, Aron E Lukacher 1,
Editors: Karla Kirkegaard3, Miles P Davenport4
PMCID: PMC9674346  PMID: 36341713

Abstract

JC polyomavirus (JCPyV) causes progressive multifocal leukoencephalopathy (PML), a life-threatening brain disease in immunocompromised patients. Inherited and acquired T cell deficiencies are associated with PML. The incidence of PML is increasing with the introduction of new immunomodulatory agents, several of which target T cells or B cells. PML patients often carry mutations in the JCPyV VP1 capsid protein, which confer resistance to neutralizing VP1 antibodies (Ab). Polyomaviruses (PyV) are tightly species-specific; the absence of tractable animal models has handicapped understanding PyV pathogenesis. Using mouse polyomavirus (MuPyV), we found that T cell deficiency during persistent infection, in the setting of monospecific VP1 Ab, was required for outgrowth of VP1 Ab-escape viral variants. CD4 T cells were primarily responsible for limiting polyomavirus infection in the kidney, a major reservoir of persistent infection by both JCPyV and MuPyV, and checking emergence of these mutant viruses. T cells also provided a second line of defense by controlling the outgrowth of VP1 mutant viruses that evaded Ab neutralization. A virus with two capsid mutations, one conferring Ab-escape yet impaired infectivity and a second compensatory mutation, yielded a highly neurovirulent variant. These findings link T cell deficiency and evolution of Ab-escape polyomavirus VP1 variants with neuropathogenicity.

Research organism: Mouse

Introduction

Antibodies (Ab) are critical components of immune defense against viral pathogens and key mediators of immune control during persistent infections. Evasion of antibodies, particularly in settings of limited antibody diversity, is a potent selective pressure for viral mutations. Notably, outgrowth of escape variants is an Achilles’ heel for monoclonal antibody (mAb) antiviral intervention (Bar et al., 2016; Caskey et al., 2015; Caskey et al., 2017; Mehandru et al., 2007; Toma et al., 2011; Trkola et al., 2005). Viral evolution within a host gives rise to variants that become subject to selection for resistance to antiviral antibodies (Inuzuka et al., 2018; Kinchen et al., 2018; Lynch et al., 2015). For viruses that establish persistent infection, viral variants can accumulate over time and increase the likelihood for emergence of viruses carrying mutations that escape recognition by neutralizing Ab. Polyomaviruses (PyV) persist lifelong in their hosts in a ‘smoldering’ infectious state, a lifestyle conducive for viral evolution even by a DNA virus that commandeers the high-fidelity host cell DNA polymerase. Indeed, the human BK and JC polyomaviruses have been shown to exist as quasispecies (Luo et al., 2012; Takahashi et al., 2016; Van Loy et al., 2015). Whether PyV variants are sculpted by antiviral Abs to escape humoral immunity is an open question.

JCPyV causes progressive multifocal leukoencephalopathy (PML), a frequently fatal demyelinating brain disease associated with T cell immunosuppression resulting from HIV/AIDS, organ transplant immunosuppressants, and certain chemotherapeutic and immunomodulatory therapies (Cortese et al., 2021; Pavlovic et al., 2018). Typically identified by MRI following the onset of neurologic symptoms, PML is diagnosed at a point when limited treatment options exist and patients suffer permanent CNS damage. Defining the early stages of disease involved in the transition of JCPyV from a kidney to brain pathogen would facilitate earlier detection and therapeutic intervention before the development of neurologic disease. Prolonged immune suppression is a necessary antecedent for PML. For instance, high risk for natalizumab-associated PML involves infusion therapy for >24 months and a history of immunosuppression (Berger and Fox, 2016; Bloomgren et al., 2012; Fox and Rudick, 2012). This long period of immune suppression before clinical disease manifests raises the possibility that variants of JCPyV, including those with neurovirulent potential, may emerge over time. Iatrogenic T cell and B cell ablation therapies have independently been associated with PML. Lacking is a conceptual connection between T cell deficiency, B cell deficiency, and prolonged immune suppression in JCPyV evolution that could lead to outgrowth of neurovirulent JCPyV variants.

PML is characterized by emergence of mutations in the major capsid protein, VP1, of JCPyV, which are not found in the circulating (i.e., archetype) strains (Gorelik et al., 2011; Zheng et al., 2005b; Zheng et al., 2005a). The nonenveloped icosahedral viral capsid is comprised of the VP1 protein assembled into 72 pentamers. VP1 mediates attachment to cellular receptors via its four solvent-exposed loops; these loops are also the dominant targets of the host’s neutralizing Ab response (Buch et al., 2015; Lindner et al., 2019; Neu et al., 2010). JCPyV-PML VP1 mutations, which are situated in these loops, mediate resistance to neutralizing antibodies, but also alter receptor binding and viral tropism (Geoghegan et al., 2017; Gorelik et al., 2011; Jelcic et al., 2015; Lauver et al., 2020; Maginnis et al., 2013; Ray et al., 2015). Sera from PML patients, as well as some healthy individuals, fail to neutralize particular JCPyV-PML VP1 mutations, despite these individuals having high antibody titers against WT JCPyV (Ray et al., 2015). The conditions that lead to the outgrowth of these variants in PML patients remain poorly understood, in part due to the lack of animal models for studying the early stages of JCPyV pathogenesis.

Because PyVs only replicate in their host species, we developed mouse polyomavirus (MuPyV) as a model for JCPyV pathogenesis and immunity (Ayers et al., 2021). MuPyV shares several features with JCPyV, including asymptomatic disease in immunocompetent hosts, the kidney as a dominant reservoir of virus persistence, and control by virus-specific T cells. Although both viruses bind to cell surface sialylated glycan receptors, the attachment receptor for JCPyV is the oligosaccharide lactoseries tetrasaccharide c, whereas MuPyV binds the gangliosides GD1a and GT1b (Buch et al., 2015; Neu et al., 2010; Tsai et al., 2003).

We previously identified a neutralizing mAb against MuPyV VP1 (Swimm et al., 2010). The epitope for this mAb is the dominant target of the endogenous VP1 Ab response in mice. Importantly, this mAb failed to recognize several VP1 mutations introduced into WT MuPyV that mapped to mutations seen in JCPyV isolates from PML patients (Lauver et al., 2020). In this study, we utilized passive immunization with this MuPyV VP1 mAb in mice lacking endogenous Abs to model the emergence of VP1 variant viruses under conditions of a limited antiviral Ab response. We found that T cell loss during persistent infection in these mice led to outgrowth of MuPyV variants carrying mutations in similar regions of the external VP1 loops to those seen in PML patients. Although an array of VP1 mutations arose in the kidneys in T-cell-depleted mice, the primary driver selecting replication-competent mutant viruses, including rare neuropathogenic variants, was evasion of Ab neutralization. With the MuPyV infection model, we provide evidence that T cell deficiency, coupled with limited Ab coverage of VP1 epitopes, are both required for outgrowth of Ab-escape viral variants, including those with a potential for neurovirulence.

Results

T cell deficiency during persistent infection leads to outgrowth of antibody-resistant virus variants

We demonstrated that Ab-escape VP1 mutations emerge after serial passage of wild type (WT) MuPyV (strain A2) in host cells in the presence of a VP1-specific neutralizing mAb (Lauver et al., 2020). To ask whether VP1 antibody-escape mutations similarly arise in vivo, we passively immunized B-cell-deficient μMT mice with this VP1-specific mAb (clone 8A7H5) to model an inability to neutralize a frequent VP1 mutation seen among the JCPyV VP1 mutations in PML patients (Ray et al., 2015). μMT mice infected subcutaneously (s.c.) via the hind footpad developed high-titer chronic viremia, which was efficiently controlled by injection of VP1 mAb starting at 4 days post-infection (dpi) and continuing weekly thereafter (Figure 1—figure supplement 1A–B). At 20 days post-infection (dpi), sera of VP1 mAb-treated μMT mice displayed similar neutralizing titers as B6 mice against WT MuPyV, but an inability to neutralize a published VP1 mutant virus with a deletion of aspartic acid at position 295, A2.Δ295. A virus carrying this mutation was previously isolated following passage of WT virus in the presence of the VP1 mAb and identified as being resistant to neutralization (Lauver et al., 2020; Figure 1—figure supplement 1C–E). At 30 dpi, no significant differences were observed in the numbers of kidney infiltrating T cells in WT and VP1-mAb-treated μMT mice (Figure 1—figure supplement 2A–B).

We first investigated the effect of T cell deficiency on virus control. CD4 and/or CD8β T-cell-depleting antibodies or control rat IgG were administered to VP1 mAb-treated μMT mice beginning at 20 dpi (Figure 1A). Ten days after starting T cell depletion, CD4 and CD8 T cells were absent from the blood of depleted mice and virus levels were significantly elevated in the kidney, the dominant site of MuPyV persistent infection, (Figure 1B and Figure 1—figure supplement 3). In mice receiving CD4 or CD8β T-cell-depleting antibodies individually, kidney virus levels were increased in CD4, but not CD8β, T-cell-depleted mice (Figure 1C). In dual CD4 and CD8 T-cell-depleted mice, anti-VP1 immunofluorescence staining was localized to disrupted tubules expressing Tamm-Horsfall protein (THP), identifying the distal convoluted tubules as a major site of MuPyV replication in the kidney (Tokonami et al., 2018; Figure 1D).

Figure 1. Increased MuPyV replication in the kidney following T cell depletion in VP1 mAb-treated μMT mice.

(A) Experimental approach for VP1 mAb treatment and T cell depletion. (B) Viral DNA levels in the kidney 10 days post T cell depletion with combined αCD4 and αCD8β. Viral DNA was quantified by qPCR and compared to a standard curve (n=16–18). (C) Viral DNA levels in the kidney 10 days post depletion with αCD4 or αCD8β. Viral DNA was quantified by qPCR and compared to a standard curve (n=13–21). (D) (Left) Foci of virus replication the kidney cortex 10 days post T cell depletion. Kidneys were stained for CD13 (white), THP (green) and VP1 (red). (Right) Quantification of virus foci in the kidney. Data are the average of two kidney sections per mouse (n=12–13). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Mann-Whitney U test (B, D) or Kruskal-Wallis test with Dunn’s multiple comparisons test (C). *p<0.05, **p<0.01, ***p<0.001.

Figure 1—source data 1. Data for the graphs in the figure.

Figure 1.

Figure 1—figure supplement 1. Passive immunization with a VP1 mAb in B cell-deficient mice neutralizes WT virus but not a VP1 mutant virus.

Figure 1—figure supplement 1.

(A) VP1-specifc IgG 30 dpi from WT or μMT mice detected by ELISA with VP1 pentamers (n=10–12). (B) Viremia at 30 dpi in WT, μMT, or μMT mice treated with VP1 mAb starting 4 dpi. LOD: Limit of detection (n=8). (C–D) Neutralization of A2 (C) or A2.Δ295 (D) by sera from WT or VP1-mAb treated μMT mice 20 dpi. LT mRNA fold change is relative to infection by each virus in the absence of serum (n=8–9). (E) Neutralizing titers against A2 and A2.Δ295 from WT or VP1-mAb treated μMT mice 20 dpi. Values are the inverse log10 of the 50% neutralizing dilution of serum. ND: Not determined (n=8–9). Error bars are mean ± SD. Data are from at least two independent experiments.
Figure 1—figure supplement 1—source data 1. Data for the graphs in the figure.
Figure 1—figure supplement 2. Kidney T cell infiltrates in WT and VP1-mAb treated μMT mice.

Figure 1—figure supplement 2.

(A–B) Number of kidney-infiltrating CD4 T cells (A) and CD8 T cells (B) in the kidneys of WT and VP1-mAb-treated μMT mice 30 dpi. Kidney infiltrating cells were identified by i.v. injection of anti-CD45 prior to euthanasia (n=7–8). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Mann-Whitney U test (A–B).
Figure 1—figure supplement 2—source data 1. Data for the graphs in the figure.
Figure 1—figure supplement 3. Confirmation of T cell depletion.

Figure 1—figure supplement 3.

(A) Representative plot of CD4+ and CD8+ cells in the blood of mice treated with IgG or αCD4 and αCD8β at euthanasia 30 days post infection (10 days after the start of antibody treatment). Plots gated on CD45+ cells. (B–C) Frequency of CD4+ (B) and CD8+ (C) cells of total CD45+ cells in the blood of mice treated with IgG or αCD4 and αCD8β (n=11–13). (D) Representative plot of CD4+ and CD8+ cells in the blood of mice treated with IgG, αCD4, or αCD8β at euthanasia 30 days post infection (10 days after the start of antibody treatment). Plots gated on CD45+ cells. (E–F) Frequency of CD4+ (E) and CD8+ (F) cells of total CD45+ cells in the blood of mice treated with IgG, αCD4, or αCD8β (n=13–21). Error bars are mean ± SD. Data are from at least two independent experiments.
Figure 1—figure supplement 3—source data 1. Data for the graphs in the figure.

Next, we asked how T cell loss affected long-term virus control. Mice were treated with combined CD4 and CD8β T-cell-depleting antibodies, CD4 T-cell-depleting antibody, CD8β T-cell-depleting antibody, or control rat IgG (Figure 2—figure supplement 1). Blood was collected every 20 days and screened for infectious virus by plaque assay (Figure 2A). Viremia became detectable in CD4 and CD8β T-cell-depleted mice as early as 40 days after dual CD4 and CD8 T cell depletion, with all mice developing viremia by approximately 100 days post depletion. CD4 T cell loss alone also led to viremia in all mice by 120 days post depletion (Figure 2B). In contrast, fewer than half of persistently infected mice given control IgG or CD8β T-cell-depleting antibody became viremic; in IgG-treated mice the development of viremia was delayed and peaked at approximately 100-fold lower levels than the T cell-depleted mice (Figure 2B). Mice receiving combined CD4 and CD8 T cell depletion or CD4 T cell depletion alone showed high systemic viral infection in the kidney, spleen, and brain (Figure 2C–E).

Figure 2. T cell loss enables viremia.

(A) Experimental scheme for VP1 mAb treatment, T cell depletion, and detection of viremia. (B) (Left) Viral titers in the blood of control and T cell depleted mice over time. Viremia was measured by plaque assay from whole blood. (Center) Peak levels of viremia detected in control and T cell depleted mice. (Right) Time to development of viremia in control and T-cell-depleted mice. Indicated significances are with comparison to the IgG group. LOD: Limit of detection (n=10–27). (C–E) Viral DNA levels in the kidney (C), spleen (D), and brain (E) at the time of euthanasia in control and T-cell-depleted mice. Viral DNA was quantified by qPCR and compared to a standard curve (n=9–27). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Kruskal-Wallis test with Dunn’s multiple comparisons test (B Center), (C–E) or Mantel-Cox test with Bonferroni’s correction for multiple comparisons (B Right). *p<0.05, ***p<0.001, ****p<0.0001.

Figure 2—source data 1. Data for the graphs in the figure.

Figure 2.

Figure 2—figure supplement 1. Confirmation of T cell depletion.

Figure 2—figure supplement 1.

(A–B) Frequency of CD4+ (A) and CD8+ (B) cells of total CD45+ cells from the blood of mice treated with IgG, αCD4 and αCD8β, αCD4, or αCD8β. Blood was collected at euthanasia (n=9–27). Error bars are mean ± SD. Data are from at least two independent experiments.
Figure 2—figure supplement 1—source data 1. Data for the graphs in the figure.

Sequencing plaque-purified virus from the blood of each viremic mouse revealed mutations in VP1, with typically only one VP1 variant found in individual mice (Supplementary file 1). In two mice, two mutant viruses were isolated from the mouse that each had a deletion of histidine 297 in addition to another unique mutation (E68K or N149K in one mouse and Δ147–148 or D295N in the other mouse). In a third mouse, two mutant viruses were isolated with a deletion of aspartic acid 295 and one of two mutations in the BC loop (I79S or N80K). This finding mirrors evidence that a PML patient typically harbors a single VP1 mutant JCPyV in their CSF, brain, and blood (Gorelik et al., 2011; Reid et al., 2011; Zheng et al., 2005a). Several of these non-synonymous single nucleotide substitutions and codon deletions were previously isolated from serially passaged MuPyV refractory to VP1 mAb-mediated neutralization, including Δ295, the most frequently detected mutation, as well as V296F, previously identified as the MuPyV equivalent of the common JCPyV PML mutation S268F (Lauver et al., 2020; Sunyaev et al., 2009). Notably, the codon for phenylalanine in V296F in this host-derived MuPyV differs from the one we previously created by site-directed mutagenesis (Lauver et al., 2020). We also identified several new mutations, including combined single amino acid deletions and substitutions. Each of the VP1 mutant viruses contained a mutation in the HI loop, where the heavy chain of the VP1 mAb contacts multiple residues (Figure 3A; Lauver et al., 2020). To exclude possible effects of other mutations in the viral genome, we introduced several of these single and dual VP1 mutations into WT MuPyV using site-directed mutagenesis. We found that these mutations blocked neutralization by the VP1 mAb (Figure 3B). To examine the effects of the mutations on tropism, we infected mice with the mutant viruses intravenously (i.v.). The viruses were injected i.v. to examine tropism when virus is spreading in the blood, which was the condition under which these mutations were identified, and to avoid the possibility of the viruses having impaired spread from the site of s.c. inoculation. Despite the shared resistance to neutralization, the mutations had varying effects on the efficiency of viral infection in the kidney and spleen (Figure 3C–D). These data indicate that escape from neutralizing antibody, not shifts in tissue tropism, was the selective pressure behind the emergence of VP1 mutations in vivo.

Figure 3. Viremia is mediated by VP1 Ab escape mutations.

Figure 3.

(A) Location of VP1 mutations (blue) in the HI loop of one copy of VP1 relative to the location of VP1 mAb (cyan/purple) in the Cryo-EM structure of WT VP1 and the VP1 mAb. PDB ID: 7K22 (Lauver et al., 2020). (B) VP1 mAb neutralization of VP1 mutant viruses. Viruses were preincubated with 10 μg VP1 mAb or control IgG for 30 min prior to addition to 1x105 NMuMG epithelial cells. A2 was diluted to an MOI of 0.1 PFU/cell, mutant viruses were diluted to match A2 by genomic equivalents (g.e.). Viral LT mRNA levels were quantified 24 hpi and normalized for each virus to infection with control IgG (n=6). (C–D) Viral mRNA levels in the kidney (C) and spleen (D) 4 dpi with VP1 mutant viruses compared to WT. WT mice were infected i.v. with 1x106 PFU of A2 or mutant viruses matched by g.e. Viral LT mRNA levels were quantified by qPCR and compared to a standard curve (n=6–7). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Mann-Whitney U test with Holm-Šídák correction for multiple comparisons (B) or Kruskal-Wallis test with Dunn’s multiple comparisons test (C–D). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001.

Figure 3—source data 1. Data for the graphs in the figure.

T cells prevent outgrowth of antibody-escape mutant virus

The absent/delayed and lower viremia in the IgG-treated mice than T cell-depleted mice led us to hypothesize that T cells could prevent/restrain the outgrowth of an antibody-escape virus if one arose during persistent infection. To do this, we treated μMT mice with VP1 mAb as before, but challenged the mice with 1000 PFU of the A2.Δ295 mutant virus 2 days after starting T cell depletion (Figure 4A). Mice were challenged i.v. with a lower titer inoculum of the A2.Δ295 mutant virus to mimic the development of viremia with an Ab escape mutant virus. This experimental setup allowed us to separate the function of T cells in preventing the generation of VP1 mutations from the ability of T cells to control the outgrowth of a VP1 mutant virus. Mice receiving CD4 and CD8β T-cell-depleting antibodies developed viremia with progressively increasing infectious virus titers over time; in contrast, no viremia was detected in the control IgG-treated mice (Figure 4B and Figure 4—figure supplement 1). Moreover, the T-cell-depleted mice had 100–1000-fold higher virus levels in the kidney, spleen, and brain than the IgG-treated mice (Figure 4C–E). These results provide clear evidence that T cells act to prevent viremia by MuPyV variants that escape neutralizing antibody.

Figure 4. T cells prevent the outgrowth of Ab escape mutant virus.

(A) Experimental scheme for VP1 mAb treatment, T cell depletion, A2.Δ295 challenge, and detection of viremia in μMT mice. (B) (Left) Viral titers in the blood of control and T-cell-depleted mice over time. Viremia was measured by plaque assay from whole blood. (Center) Peak levels of viremia detected in control and T-cell-depleted mice. (Right) Time to development of viremia in control and T-cell-depleted mice in B. LOD: Limit of detection (n=8–9). (C–E) Viral DNA levels in the kidney (C), spleen (D), and brain (E) 28 days post challenge (n=8–9). Error bars are mean ± SD. Data are from two independent experiments. Data were analyzed by Mantel-Cox test (B Right) or Mann-Whitney U test (B center), (C–E). ***p<0.001, ****p<0.0001.

Figure 4—source data 1. Data for the graphs in the figure.

Figure 4.

Figure 4—figure supplement 1. Confirmation of T cell depletion.

Figure 4—figure supplement 1.

(A–B) Frequency of CD4+ (A) and CD8+ (B) cells out of total CD45+ cells the blood of mice treated with IgG or αCD4 and αCD8β. Blood was collected 2 weeks after the start of antibody treatment (n=8–9). Error bars are mean ± SD. Data are from at least two independent experiments.
Figure 4—figure supplement 1—source data 1. Data for the graphs in the figure.

A double VP1 mutation balances viral fitness vs antibody-escape

Antibody-escape viruses carrying a substitution at D295 together with a deletion of H297 (A2.D295N/Δ297) stand out because the D295 and H297 side chains face away from the interface of VP1 and the mAb (Figure 3A). We generated viruses individually carrying the D295N or Δ297 mutations in the WT A2 genome (A2.D295N or A2.Δ297, respectively) to define the contributions of each mutation to recognition by the VP1 mAb and potential effects on tropism. Neutralization assays with VP1 mAb showed that A2.D295N remained sensitive, but A2.Δ297 was fully resistant, to neutralization (Figure 5A). Similar to parental A2, A2.D295N was readily bound by the VP1 mAb; in contrast, the mAb did not bind A2.Δ297 or A2.D295N/Δ297 (Figure 5B). A2.D295N also showed a similar avidity profile to parental A2 with the VP1 mAb (Figure 5C). Taken together, these data show that D295N did not affect neutralization, suggesting that this mutation did not contribute to antibody escape. In support, we found that A2.Δ297 failed to form plaques, indicating a defect in spread (Figure 5—figure supplement 1A). In contrast, A2.D295N formed plaques comparably to WT virus and A2.D295N/Δ297 produced significantly smaller sized plaques. Reduced plaque size by MuPyV has been associated with increased affinity for binding host cell receptors (Bauer et al., 1999). By titering infectious virus output during one round of replication by plaque assay, we observed decreased virion production by A2.D295N but significantly increased replication by A2.D295N/Δ297 (Figure 5D). Matching virus titers by DNA genome equivalents (g.e.), we found enhanced infection by A2.D295N/Δ297, whereas A2.Δ297 had similar infectivity to A2 and A2.D295N had reduced infectivity (Figure 5E). Using a low multiplicity of infection (MOI) infection to track viral spread, we found that A2.Δ297 and A2.D295N both showed a significant reduction in spread compared to A2 (Figure 5F). This reduction in spread was not due to reduced virus production; cells transfected with equal amounts of viral DNA showed similar levels of virus output at 72 hr by A2.D295N and A2.Δ297, but significantly more virus by A2.D295N/Δ297 (Figure 5—figure supplement 1B). These data indicate the Δ297 mutation impaired viral spread and prevented plaque formation. In contrast, the D295N mutation impaired both virus infection and spread but remained able to form plaques over the course of the 6-day plaque assay. In combination, however, these mutations showed a restoration and even enhancement of infectivity and spread.

Figure 5. A compensatory mutation in VP1 arises to rescue defects in receptor binding caused by an Ab escape mutation.

(A) VP1 mAb neutralization assay with D295N and Δ297 VP1 mutant viruses. Viruses were preincubated with 10 μg VP1 mAb or control IgG for 30 min prior to addition to 1x105 NMuMG epithelial cells. A2 was diluted to an MOI of 0.1 PFU/cell, mutant viruses were diluted to match A2 by g.e. Viral LT mRNA levels were quantified 24 hpi and normalized for each virus to infection with control IgG (n=6). (B) Binding of VP1 mAb to WT or VP1 mutant viruses. Wells were coated with 1x109 g.e. of WT or VP1 mutant virus and incubated with VP1 mAb. VP1 mAb binding was quantified using an anti-rat secondary antibody and values were normalized to binding to WT virus (n=4). (C) Binding avidity of VP1 mAb for A2 and A2.D295N. VP1 mAb binding to A2 and A2.D295N was performed as in B. Prior to detection of mAb binding, virus/mAb complexes were treated with varying concentrations of NH4SCN for 15 min. Binding at each concentration was normalized to binding at 0 M NH4SCN for each virus (n=4). (D) Quantification of virus production in a single round of replication by plaque assay. Virus was added to 1x105 A31 cells at an MOI of 0.1 PFU/cell. Cells were lysed at 60 hpi and infectious virus was quantified by plaque assay and divided by the input virus quantity. A2.Δ297 was not included due to inability of this mutant to form plaques (n=8). (E) Frequency of T-antigen-positive cells 24 hpi with WT or mutant viruses. 1x105 A31 cells were infected with A2 at an MOI of 1 PFU/cell or mutant viruses matched by g.e. Cells were collected at 24 hpi, permeabilized, stained for T ag protein, and quantified by flow cytometry. (F) Frequency of T-antigen-positive cells at 24, 48, 72, and 96 hpi with WT or mutant viruses. 1x105 A31 cells were infected with A2 at an MOI of 0.1 PFU/cell or mutant viruses matched by g.e. Cells were collected at each time point, permeabilized, stained for T ag protein, and quantified by flow cytometry (n=6–13). (G) Detection of virus binding in kidney sections. PFA-fixed frozen kidney sections were treated with neuraminidase or buffer alone prior to incubation with WT or VP1 mutant virus. Sections were then stained for VP1 (red) and kidney markers [CD13 (white), THP (green)]. Neu: Neuraminidase. Representative of three independent experiments. (H) LT mRNA levels in the kidney 4 dpi with WT or mutant viruses. WT mice were infected i.v. with 1x106 PFU of A2 or mutant viruses matched by g.e. Viral LT mRNA levels were quantified by qPCR and compared to a standard curve (n=9–10). (I) Detection of D295 and H297 mutations in the kidney. VP1 sequences were PCR amplified from kidney DNA samples of the mice that developed the D295N/Δ297 and D295A/Δ297 double mutant viruses. VP1 clones were sequenced and screened for the presence of mutations at D295 and H297; the frequency of each mutation in 50 clones is shown. Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Mann-Whitney U test with Holm-Šídák correction for multiple comparisons (A), one-way ANOVA with Dunnett’s multiple comparisons test (B and D–E), two-way ANOVA with Dunnett’s multiple comparisons test (F), or Kruskal-Wallis test with Dunn’s multiple comparisons test (H). **p<0.01, ***p<0.001, ****p<0.0001.

Figure 5—source data 1. Data for the graphs in the figure.

Figure 5.

Figure 5—figure supplement 1. Defects in mutant virus spread and receptor binding.

Figure 5—figure supplement 1.

(A) (Left) Plaque formation by WT and mutant viruses in A31 fibroblasts 6 dpi. (Right) Area of individual plaques formed by A2, A2.D295N, and A2.D295N/Δ297. Plaque area was measured using ImageJ (n=80). (B) Encapsidated genomes produced by WT and mutant viral DNA transfection. Data is relative to WT (n=9). (C) pH-dependent hemagglutination curves for WT and mutant viruses. The reported HA titer was the inverse of the highest dilution showing hemagglutination (n=3). (D) Percent of virus binding lost with neuraminidase pre-treatment. Bound virus was detected with polyclonal VP1 Ab and quantified by flow cytometry. For each virus, the percent of binding lost to neuraminidase treatment was calculated by comparing virus binding with and without neuraminidase treatment (n=6). (E) Quantification of T antigen positive cells 24 hpi with WT or mutant viruses with neuraminidase pretreatment. Cells were treated and infected as in (E). At 24 hpi, cells were collected, permeabilized, stained for T ag protein, and quantified by flow cytometry (n=6). (F) Quantification of LT mRNA levels with neuraminidase pretreatment. A31 cells were treated with neuraminidase and then infected with A2 at an MOI of 0.1 PFU/cell or mutant viruses matched by g.e. Viral LT mRNA levels were quantified by qPCR and compared to a standard curve (n=6). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Kruskal-Wallis test with Dunn’s multiple comparisons test (A), one-way ANOVA with Dunnett’s multiple comparisons test (B and D), or Mann-Whitney U test with Holm-Šídák correction for multiple comparisons (E–F). **p<0.01, ***p<0.001, ****p<0.0001.
Figure 5—figure supplement 1—source data 1. Data for the graphs in the figure.

We next asked whether these mutations affected receptor usage. Parental A2 and A2.D295N/Δ297 showed preferential hemagglutination (HA) activity at acidic pH (Figure 5—figure supplement 1C). A2.D295N and A2.Δ297 exhibited poor HA activity, with A2.Δ297 showing no HA activity across the pH spectrum. As HA activity is dependent on sialic acid binding, we next examined the effect of neuraminidase pretreatment on virus binding and infection. Binding by A2, A2.Δ297, and A2.D295N/Δ297 was dependent on sialylated host cell receptors, but binding by A2.D295N was refractory to neuraminidase treatment (Figure 5—figure supplement 1D). Despite these differences in binding, neuraminidase pretreatment caused a significant reduction 24 hpi in LT mRNA levels with low MOI infection and T ag+ cells with high MOI infection, indicating that infection by all viruses relied predominantly on a sialic-acid-dependent pathway (Figure 5—figure supplement 1E–F). The dependence on sialic acid for infection, but not for binding, by A2.D295N indicates that by itself the D295N mutation mediated binding to a non-sialylated, non-productive receptor. In contrast, the A2.Δ297 single mutant showed a drastic sensitivity to neuraminidase pretreatment, with 10,000-fold reduction in mRNA production, consistent with poor receptor binding and the lack of HA activity.

We next assessed how these mutations affected receptor binding and infection in the kidney. We incubated kidney sections from uninfected mice with virus and then stained for VP1 and kidney markers for proximal (CD13+) and distal (THP+) tubules (Baer et al., 1997; Tokonami et al., 2018). Parental A2 bound to the lumen of the distal convoluted tubules (DCT) and binding was abrogated by neuraminidase pretreatment (Figure 5G). Similar to A2, the A2.D295N/Δ297 showed specific, neuraminidase-sensitive binding to the DCT. A2.Δ297, however, showed no detectable binding in the kidney, whereas A2.D295N showed substantial binding to the abluminal side of the tubules but little-to no-binding to the luminal side. A2.D295N binding in the kidney was insensitive to neuraminidase treatment. We then assessed virus levels in the kidneys of mice infected i.v. with the mutant viruses. Based on LT mRNA levels in the kidney at 4 dpi, both single mutant viruses were attenuated compared to A2, whereas A2.D295N/Δ297 showed similar levels of infection to A2 (Figure 5H). Together, these findings indicate that the Δ297 mutation conferred resistance to VP1 mAb neutralization, but impaired viral spread and infection within the kidney. The D295N mutation alone caused aberrant receptor binding and impaired infection in vivo, but when combined with Δ297 restored proper receptor binding in the kidney during early infection.

Based on the effects of the D295N and Δ297 mutations, we hypothesized that Ab escape by the Δ297 mutation was the initial driver of mutant virus emergence in vivo, with the emergence of the mutation at D295 occurring secondary to compensate for the defect in virulence. To test this, we cloned and sequenced VP1 from the kidneys of three T cell-depleted (two CD4 and CD8β T cell depleted; one CD4 depleted) mice that developed the D295N/Δ297 and D295A/Δ297 double mutant viruses. Each of these mice rapidly became morbid after the detection of viremia necessitating their euthanasia within 30 days of the emergence of viremia. In 50 clones sequenced from the kidneys of each of the three mice, we identified sequences containing WT VP1, Δ297, and D295N/Δ297 or D295A/Δ297, but not sequences containing the D295N/A mutations alone (Figure 5I). The presence of the individual Δ297 mutation and absence of single D295 mutations suggests that the initial mutation was Δ297 followed by D295N/A. Although more sensitive sequencing methods may detect VP1 sequences with D295N/A mutations without Δ297, the high frequency of the Δ297 mutation strongly suggests this was the initial mutation. The rapid morbidity associated with the emergence of the mutation at D295 and subsequent viremia likely limited the accumulation of these double mutant viruses.

Heightened neurovirulence by a VP1 double mutation virus

Given the increased replication of A2.D295N/Δ297 in vitro, we next investigated whether this virus showed altered kidney pathology in an immunocompromised host. We infected μMT mice i.v. with A2 or A2.D295N/Δ297, which resulted in chronic viremia 30 dpi by each virus (Figure 6A). Kidneys from A2-infected mice had foci of lymphocytic inflammation within the cortical interstitium that extended into the tubular epithelium (Figure 6B). In marked contrast, kidneys A2.D295N/Δ297-infected mice had only small, scattered collections of mononuclear cells. Consistent with these histopathologic differences, A2-infected kidneys also exhibited numerous, large VP1+ foci, but those in A2.D295N/Δ297-infected kidneys were far fewer and smaller (Figure 6C–D). To determine if A2.D295N/Δ297 was neurovirulent, we infected WT mice intracranially (i.c.), a route of inoculation which mediates efficient MuPyV infection of the brain (Lauver et al., 2020; Mockus et al., 2020). Four dpi, A2-infected brains showed only sparse VP1+ ependymal cells lining the ventricles. In contrast, brains of A2.D295N/Δ297-infected mice had extensive VP1+ ependymal cells (Figure 6E). Consistent with this dramatic difference in extent of ependymal infection, A2-infected brains at 30 dpi had only small ependymal lymphocytic aggregates, whereas A2.D295N/Δ297-infected brains contained more extensive ependymitis as well as periventricular edema (Figure 6F). Additionally, of the sections examined only brains from mice persistently infected with A2.D295N/Δ297 had VP1+ cells in the periventricular region (Figure 6G). Hydrocephalus is consistently seen in mice i.c. inoculated with A2 MuPyV (Lauver et al., 2020; Mockus et al., 2020). A2.D295N/Δ297-infected mice developed hydrocephalus to a significantly higher degree than A2-infected mice (Figure 6H). These data show that the endogenously derived A2.D295N/Δ297 VP1 mutant virus had lower tropism for the kidney, but dramatically higher capacity to infect the cerebral ventricular system than the parental A2 virus. Similarly, impaired kidney pathogenesis but retained neurovirulence is a hallmark feature of A2 virus carrying the VP1 V296F mutation, sequence-equivalent to the frequent S268F VP1 mutation in JCPyV-PML (Lauver et al., 2020). Thus, VP1 neutralizing Ab in T-cell-deficient hosts can select rare Ab-escape virus variants possessing high neuropathogenicity.

Figure 6. Reduced kidney tropism and heightened neurovirulence by a VP1 double mutant virus.

Figure 6.

(A) Viremia in μMT mice 30 dpi with A2 or A2.D295N/Δ297 i.v. Viremia was quantified by plaque assay from whole blood (n=9). (B) H&E stained sagittal sections of kidneys from μMT mice 30 dpi after i.v. inoculation with A2 or A2.D295N/Δ297. Left: ×50 magnification. Right: ×500 magnification. (C) Foci of VP1+ cells in kidneys from μMT mice 30 dpi with A2 or A2.D295N/Δ297 i.v. Kidneys were stained for CD13 (white), THP (green) and VP1 (red). (D) Quantification of the number (Left, n=9) and size (Right, n=42–45) of VP1+ foci in kidneys from μMT mice 30 dpi with A2 or A2.D295N/Δ297 i.v. Foci number is the average of two sagittal kidney sections per mouse. For quantifying foci area, five random foci per mouse or the maximum number of foci found were imaged and the area of each VP1+ focus was calculated using ImageJ. (E) VP1+ cells in the lateral (top) and third (bottom) ventricles of WT mice 4 dpi with A2 or A2.D295N/Δ297 inoculated i.c. and quantification of VP1+ cells in the third ventricle (n=16–18). (F) H&E stained coronal sections from brains of sham (top left), A2 (top right), or A2.D295N/Δ297 (bottom left) i.c.-inoculated mice 30 dpi (×200 magnification). Arrows indicate sites of ependymal inflammation. (G) VP1 staining in the ventricles of WT mice 30 dpi with A2 or A2.D295N/Δ297 i.c. VP1+ cells are indicated with white markers. (H) Quantification of hydrocephalus 30 dpi after i.c. inoculation with vehicle, A2, or A2.D295N/Δ297. Coronal head height was measured with a Vernier caliper in line with the ear canal to the nearest 0.5 mm (n=10–13). Error bars are mean ± SD. Data are from at least two independent experiments. Data were analyzed by Mann-Whitney U test (A, D, and E) or one-way ANOVA with Dunnett’s multiple comparisons test (H). ***p<0.001, ****p<0.0001.

Figure 6—source data 1. Data for the graphs in the figure.

Discussion

Although depressed anti-JCPyV T cell immunity is the dominant risk factor for PML, JCPyVs in the CNS of PML patients have VP1 mutations that allow evasion of antiviral antibodies (Cortese et al., 2021; Jelcic et al., 2015; Lauver et al., 2020; Pavlovic et al., 2018; Ray et al., 2015). To connect T cell deficiency and Ab-escape JCPyV variants, we investigated T cell insufficiency in mice infected with MuPyV in the setting of a restricted VP1 antibody response. Our findings allowed us to develop a model integrating T cell and humoral deficiencies with emergence of neurovirulent PyV, as illustrated in Figure 7. First, impaired T cell control results in increase PyV replication in the kidney, the central reservoir for persistent PyV infection. Elevated viral replication is accompanied by low-level, stochastic mutagenesis of the viral genome, where particular mutations in VP1 abrogate binding by VP1-specific Ab. By extension, the host must have an inherited or acquired VP1 Ab response that targets few VP1 epitopes. A subset of viruses carrying Ab-escape VP1 mutations acquire the capacity to replicate in the CNS. T cell deficiency further handicaps a second line of defense by antiviral T cells to control Ab-escape VP1 variant viruses. In summary, T cell deficiency acts at two levels to set the stage for emergence of antibody-escape VP1 mutations endowed with neurotropic potential.

Figure 7. T cell deficiency and a narrow antiviral Ab response enable emergence of Ab-escape, neurovirulent PyV variants.

Figure 7.

Model for the evolution of Ab escape, neurovirulent PyV VP1 variants in the setting of T cell deficiency and a neutralizing Ab response with limited coverage of VP1 epitopes on the virus capsid. Figure was created with Biorender.com.

The kidney is the major site of JCPyV persistence (Berger et al., 2017). We observed preferential binding of MuPyV to the DCT, mirroring what has been reported for JCPyV, and virus replication in the DCT following T cell loss (Figures 1D and 5G; Haley et al., 2015). This localization of virus binding to the DCT, despite differences in the sialylated glycans bound by each virus, suggests a conserved site of persistence within the kidney for these viruses. Virus binding and replication within the DCT may provide a level of local protection from neutralizing antibodies, necessitating T cell control to limit virus replication within the local kidney environment. Conditions of immune suppression deprive the kidney of this cellular immune control over PyV infection, leading to elevated virus replication there. Consistent with this are reports of depressed JCPyV-specific T cell responses in individuals treated with natalizumab and increased JCPyV shedding in the urine of immunosuppressed individuals (Behzad-Behbahani et al., 2004; Chen et al., 2009; Delbue et al., 2015; Perkins et al., 2012). T cells are the predominant cell type responsible for the production of interferon gamma (IFN-γ), which limits BKPyV replication in kidney cells and is necessary for effective control of MuPyV kidney infection (Abend et al., 2007; Byers et al., 2007; Wilson et al., 2011). T cell loss during PyV infection thus eliminates the major source of IFN-γ and virus control.

PML is associated with conditions of CD4 T cell impairment, including HIV/AIDS and idiopathic CD4 T cell lymphopenia (Berger et al., 1987; Berger et al., 1998; Pavlovic et al., 2018). Decreases in CD4, but not CD8, T cells are seen in the CSF of natalizumab-treated MS patients and CD4 T cell epitope-escape JCPyVs have been found in PML patients (Jelcic et al., 2016; Schneider-Hohendorf et al., 2014; Stüve et al., 2006). We observed higher kidney virus levels at 10 days post depletion and a higher frequency of viremia in CD4 T cell-depleted mice than in CD8 T cell-depleted mice (Figures 1C and 2B). CD4 T cells can exert direct antiviral effector activities as well as provide help to maintain optimal virus-specific CD8 T cell responses in nonlymphoid organs, including the brain and lung (Ren et al., 2020; Son et al., 2021). Tissue-resident CD4 T cells have also been shown to promote development of protective B cell responses in the lungs of influenza virus-infected mice (Son et al., 2021). It will be important to elucidate how CD4 T cells restrict PyV replication in the kidneys and viremia by Ab-escape variant viruses.

Utilizing the host DNA replication machinery, PyVs are regarded as having highly stable genomes with a low incidence of mutations (Sanjuán and Domingo-Calap, 2016). Clinical and experimental data, however, indicate that mutations arise during the course of PyV infection. JCPyV and BKPyV isolates from PML and polyomavirus-associated nephropathy patients, respectively, are characterized by mutations in both the VP1 capsid protein and the non-coding control region (NCCR) (Boldorini et al., 2009; Gorelik et al., 2011; Krautkrämer et al., 2009; Peretti et al., 2018; Reid et al., 2011; Tremolada et al., 2010; Vaz et al., 2000; Zheng et al., 2005b; Zheng et al., 2005a). Likewise, rearrangements in the NCCR of BKPyV emerge after extended passage in vitro, and VP1 mutations arise in BKPyV and MuPyV after serial passage in the presence of neutralizing mAb (Lauver et al., 2020; Lindner et al., 2019; Zhao and Imperiale, 2021). These data suggest that conditions favoring certain mutations (e.g., mutations enhancing replication or enabling antibody evasion) can promote the emergence and outgrowth of viruses with particular genomic alterations.

Several mechanisms provide avenues for VP1 mutations. Missense mutations may represent failed attempts by the host cell to restrict viral replication. The APOBEC3 family of proteins are cytosine deaminases that induce mutagenic damage in the genomes of DNA viruses as a mechanism of antiviral defense. APOBEC3B is upregulated during BKPyV nephritis and has been implicated in the emergence of BKPyV VP1 mutations in kidney transplant recipients and mutations in the Merkel cell PyV genome (Peretti et al., 2018; Que et al., 2021). The presence of deletion mutations could represent the remnants of double-stranded breaks repaired by nonhomologous end joining (NHEJ). DNA double strand breaks occur during PyV infection, and aspects of the DNA damage response pathway are required for efficient PyV replication (Erickson and Garcea, 2019; Heiser et al., 2016; Jiang et al., 2012; Justice et al., 2019; Sowd et al., 2013). The NCCR of BKPyV undergoes significant recombination events resulting from NHEJ during replication in vitro (Zhao and Imperiale, 2021). It is possible that NHEJ repair of breaks in VP1 during replication results in a variety of recombinations and small deletions. Those that are tolerated by the virus and confer a selective advantage, in this case in-frame deletions conferring Ab escape, are thus able to emerge and be detected.

JCPyV VP1 mutations identified in PML patients are associated with impaired receptor binding and infectivity. Only archetype JCPyV is found in the urine of PML patients, despite the presence of VP1 mutant virus in the blood and CSF of these patients (Geoghegan et al., 2017; Gorelik et al., 2011; Maginnis et al., 2013; Reid et al., 2011; Zheng et al., 2005a). Here, we find that the selective pressure of antibody escape drove outgrowth of VP1 mutants with varying kidney infectivity, implicating immune evasion, rather than tropism, as the primary driver of VP1 mutations under these conditions (Figure 3B–D). The initial emergence of the Δ297 mutation, despite imparting severe defects in kidney tropism, indicates that Ab escape can promote the outgrowth of otherwise crippled PyV variants, a feature seen in several other chronic viral infections (Kalinina et al., 2003; Kinchen et al., 2018; Lynch et al., 2015).

The defect in spread and infectivity in vivo by the Δ297 mutation readily selected for a variety of secondary point mutations that restored or even enhanced virulence, generating viruses able to efficiently spread in vitro. The point mutations found together with the Δ297 mutation all involved a positive net change in charge (Supplementary file 1). These mutations are all located near the receptor binding pocket, and most of the mutated side chains face toward the location of receptor binding. With the exception of E91, however, these residues have not been reported to be involved in receptor binding (Buch et al., 2015; Stehle and Harrison, 1997). Mutation of E91 to glycine causes impaired infection by promoting binding to decoy pseudoreceptors (Bauer et al., 1999; Buch et al., 2015; Qian and Tsai, 2010). Similarly, the D295N mutation alone caused pseudoreceptor binding that impaired infectivity in vitro and in vivo (Figure 5D–H). In the context of the Δ297 mutation, however, these normally deleterious mutations synergized to restore proper receptor binding and even enhance virulence. The D295N/Δ297 double mutant displayed increased infectivity and virus production in vitro (Figure 5D–F). In vivo, the double mutant virus showed similar acute kidney infection to WT virus but decreased kidney infection/pathology during chronic infection (Figures 5H and 6A–D). This impairment of kidney pathology during chronic infection suggests a defect in persistence within the kidney by the D295N/Δ297 mutant virus. Within the brain, D295N/Δ297 caused increased acute infection of the ependyma and heightened chronic infection in the periventricular region, as well as increased CNS pathology (Figure 6E–G). Retention of neurotropism and a loss of kidney tropism was previously seen with the V296F MuPyV VP1 mutant and may be a common feature of PML-associated JCPyV mutations (Lauver et al., 2020). This increased CNS virulence could stem from more efficient receptor binding and release, leading to increased viral dissemination throughout the ventricular system and elevated infection of the ependyma during persistence. Increased spread and pathogenesis resulting from altered receptor binding has been seen with a separate MuPyV HI loop mutation, V296A (Bauer et al., 1995; Bauer et al., 1999; Buch et al., 2015). As both the D295 and H297 residues face into the pore at the center of each VP1 pentamer, these mutations may facilitate more efficient interactions with the VP2/3 minor capsid proteins, whose C-termini extend into the pore (Chen et al., 1998).

The mutant viruses we identified all carried at least one mutation in the HI loop, which is also the most common site of JCPyV VP1 mutations in PML patients (Gorelik et al., 2011; Reid et al., 2011). The epitope of the VP1 mAb has significant contribution from the HI loop and competes with a large portion of the endogenous antibody response generated by MuPyV-infected mice (Lauver et al., 2020). The dominant targets of antibodies in JCPyV-infected individuals have not been determined, but given the frequency of JCPyV mutations seen in the HI loop this region may be a common target of neutralizing Ab across species. PML patients typically carry a mutant JCPyV with a single VP1 mutation, rather than the double mutants we saw emerge in several mice (Supplementary file 1; Gorelik et al., 2011; Reid et al., 2011). This difference may stem from the nature of Ab escape mutation, with substitution to a bulkier side chain in JCPyV (e.g., L55F, S266F/Y, and S268F/Y) rather than the deletion of H297 seen in MuPyV. Although both types of mutations alter/impair infectivity, bulky substitutions in JCPyV may do so by occluding a portion of the receptor binding pocket, where there may be reduced opportunity for compensation by a secondary mutation. Already the smallest external loop in VP1, the HI loop of JCPyV (M261 to S268: 8 residues) is one residue shorter than the HI loop of MuPyV (W288 to V296: 9 residues) (Liddington et al., 1991). Thus, the HI loop of JCPyV may be too short to tolerate even a single amino acid deletion and still allow proper positioning of the H and I β strands.

Insufficient humoral control of PyV mutants opens numerous pathways for viral invasion of the CNS. The lack of neutralization could promote infection of hematopoietic cells that then traffick to the brain (Dubois et al., 1997; Wollebo et al., 2015). Alternatively, the absence of neutralizing antibody could enable virus within the vasculature of the brain to infect the cells of the blood-brain barrier (BBB) or blood-CSF barrier (BCSFB). Brain microvascular endothelial cells are susceptible to JCPyV infection, and could provide viral access into the CNS parenchyma (Chapagain et al., 2007). The BCSFB, formed by the choroid plexus in the brain ventricles, is another possible route of entry by the virus into the brain. JCPyV infects choroid plexus epithelial cells (Corbridge et al., 2019; Haley et al., 2015; O’Hara et al., 2018; O’Hara et al., 2020). Infection of choroid plexus epithelium would enable virus spread into the CSF, dissemination throughout the ventricular system, and access to the brain parenchyma via infection of the ependymal cells lining the ventricles. In line with this possibility is the permissivity of ependymal cells for productive MuPyV infection (Lauver et al., 2020; Mockus et al., 2020).

Our findings demonstrate a ‘2-hit’ requirement for development of VP1 mutant PyVs: (1) a narrow VP1 antibody response; and (2) T cell insufficiency, which acts both to limit virus replication in the kidney and eliminate VP1 variants that evade antiviral antibodies. T cell loss leads to elevated virus replication that in the context of a narrow VP1 antibody response results in viremia by Ab-escape mutant viruses. Among these Ab-escape variants will be those carrying the potential for neurovirulence. The stochastic evolution of VP1 mutations, together with depressed anti-PyV T and B cell immunity, may account for the long timeframe between PML and iatrogenic immunosuppression, the array of PML-associated agents with unrelated mechanisms of action, and the rarity of PML in susceptible hosts.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Antibody Anti-VP1 (Rat Clone 8A7H5) Swimm et al., 2010 Clone 8A7H5 250 µg/week
Antibody ChromPure Rat IgG Jackson ImmunoResearch Cat#012-000-003
RRID: AB_2337136
250 µg/week
Antibody Anti-CD8β (H35-17.2) Golstein et al., 1982 N/A 250 µg/week
Antibody Anti-CD4 (GK1.5) Dialynas et al., 1983 N/A 250 µg/week
Antibody Anti-VP1 (Rabbit polyclonal) Provided by Robert Garcea N/A IF (1:1,000)
FC (1:10,000)
Antibody Anti-Vimentin (Rat Clone 280618) R&D Systems Cat#MAB2105
RRID: AB_2241653
IF (1:500)
Antibody Anti-GFAP (Goat polyclonal) Abcam Cat#ab53554
RRID: AB_880202
IF (1:1,000)
Antibody Anti-THP (Rat monoclonal) R&D Systems Cat#MAB5175
RRID: AB_2890000
IF (1:1,000)
Antibody Anti-CD13 (Goat polyclonal) R&D Systems Cat#AF2335
RRID: AB_2227288
IF (1:500)
Antibody Anti-Goat IgG AF488 (Bovine polyclonal) Jackson ImmunoResearch Cat#805-545-180
RRID: AB_2340883
IF (1:500)
Antibody Anti-Rat IgG AF555 (Donkey polyclonal) Abcam Cat#ab150154
RRID: AB_2813834
IF (1:500)
Antibody Anti-Rabbit IgG AF647 (Donkey polyclonal) Jackson ImmunoResearch Cat#711-605-152
RRID: AB_2492288
IF (1:500)
Antibody Anti-CD8α-AF700 (Clone 53–6.7) Biolegend Cat#100730
RRID:AB_493703
FC (1:200)
Antibody Anti-CD45-PerCP/Cy5.5 (Clone 30-F11) Biolegend Cat#103132
RRID:AB_893340
FC (1:200)
Antibody Anti-CD45-FITC (Clone 30-F11) BD Cat#553080
RRID:AB_394610
FC (3 µg/mouse)
Antibody Anti-CD4-PE (Clone RM4-5) Biolegend Cat#100512
RRID:AB_312715
FC (1:200)
Antibody Anti-CD4-BV421
(clone GK1.5)
BD Cat#562891
RRID: AB_2737870
FC (1:200)
Antibody Anti-Rat IgG-APC (Goat polyclonal) BD Cat#551019
RRID:AB_398484
FC (1:200)
Antibody Anti-Mouse IgG-HRP (Goat polyclonal) Bethyl Laboratories INC Cat#A90-116P
RRID:AB_67183
ELISA (1:7,000)
Other Fixable Viability Dye eFluor 780 ThermoFisher Ref#65-0865-14 FC (1:1,000)
Other Flow Cytometry Absolute Count Standard Bangs Laboratories Cat#580
Other MuPyV (Strain A2) N/A N/A
Other Sheep Red Blood Cells Innovative Research Cat#ISHRBC10P15ML
Peptide, recombinant protein VP1 pentamers Provided by Robert Garcea N/A
Peptide, recombinant protein Benzonase Nuclease Sigma Cat#E1014
Peptide, recombinant protein Neuraminidase from Vibrio cholerae Sigma Cat#N6514 IF (1:100)
FC (1:200)
Peptide, recombinant protein Collagenase (Type I) Worthington Cat#LS004197
Chemical compound, drug TRIzol Reagant ThermoFisher Ref#15596018
Chemical compound, drug RevertAid H Minus Reverse Transcriptase ThermoFisher Cat#EP0451
Chemical compound, drug Lipofectamine 2000 Transfection Reagent ThermoFisher Cat#11668030
Chemical compound, drug Lipofectamine 3000 Transfection Reagent ThermoFisher Cat# L3000008
Commercial assay, kit PFHM-II Protein-Free Hybridoma Medium ThermoFisher Ref#12040–077
Commercial assay, kit TOPO TA Cloning Kit ThermoFisher Ref#45–0641
Commercial assay, kit TBP PrimeTime XL qPCR Assay IDT Mm.PT.39a.22214839
Commercial assay, kit 1-Step Ultra TMB-ELISA ThermoFisher Ref#34028
Commercial assay, kit 96 Well EIA/RIA Polystyrene High Bind Microplate Fisher Scientific Cat#3590
Commercial assay, kit PerfectCTa FastMix II ROX Quantabio P/N 84210
Commercial assay, kit PureLink Viral RNA/DNA mini Kit ThermoFisher Ref#12280–050
Commercial assay, kit Wizard Genomic DNA Purification Kit Promega Ref#A1120
Commercial assay, kit QuikChange II Site-Directed Mutagenesis Kit Agilent Cat#200523
Commercial assay, kit CELLine Disposable Bioreactor Fisher Scientific Cat#353137
Cell Line (M. musculus) BALB/3T3 Clone A31 ATCC CCL-163; RRID:CVCL_0184
Cell Line (M. musculus) NMuMG ATCC CRL-1636; RRID:CVCL_0075
Strain, strain background (M. musculus) C57BL/6 Mice National Cancer Institute Cat#OIC55
Genetic reagent (M. musculus) μMT Mice Jackson Laboratory Cat#002288; RRID:IMSR_JAX:002288
Software, algorithm Prism Graphpad v 9.3.1; RRID:SCR_002798
Software, algorithm FlowJo BD v 10.6.1; RRID:SCR_008520
Software, algorithm ImageJ NIH v 1.8.0; RRID:SCR_003070
Software, algorithm Leica LAS X Leica v 3.7.2; RRID:SCR_013673

Materials availability

Reagents generated in this study are available from the corresponding author with a Materials Transfer Agreement.

Mice

C57BL/6 mice were purchased from the National Cancer Institute and μMT mice were purchased from Jackson Laboratories. Mice were housed and bred under specific pathogen-free conditions. Male and female mice 6–12 weeks of age were used for experiments. All mouse experiments were approved by the Penn State College of Medicine Institutional Animal Care and Use committee.

Cell lines

NMuMG and BALB/3T3 clone A31 (“A31”) cell lines were purchased from ATCC. Cell lines were authenticated by STR profiling (ATCC), mycoplasma negative, used at low passage, and examined for correct morphology. The 8A7H5, H35-17.2, and GK1.5 hybridomas were grown in PFHM-II Protein-Free Hybridoma Medium (Thermofisher) (Dialynas et al., 1983; Golstein et al., 1982; Swimm et al., 2010). mAb was produced in CELLine bioreactor flasks (Corning). All other cells were kept in Dulbecco’s Minimal Eagle Media supplemented with 10% fetal bovine serum, 100 U/mL penicillin, and 100 U/mL streptomycin.

Viruses

All experiments were done using the A2 strain of MuPyV. Viral stocks were generated by transfection of viral DNA into NMuMG cells. Mutant viruses were generated by site-directed mutagenesis of the parental A2 viral genome with forward and reverse primers for each mutation (Supplementary file 2). DNA was isolated from the virus stocks and sequenced to confirm the presence of the mutation. The A2.Δ294, A2.Δ295, and A2.V296F viruses were generated previously (Lauver et al., 2020).

Virus titering and sequencing

Viruses were titered by plaque assay on A31 fibroblasts or by qPCR for encapsidated genomes (Lukacher and Wilson, 1998). For genome titering, 1 μL of virus lysate was treated with 250 U of benzonase nuclease (Sigma) at 37 °C for 1 hr. Viral genomes were isolated using the Purelink Viral RNA/DNA mini kit and genome ratios were determined by Taqman qPCR (Wilson et al., 2012).

Mouse infections and treatments

Mice were infected via the hind footpad with 1x106 PFU of A2 MuPyV. Challenge infections with A2.Δ295 were given with 1x103 PFU i.v. For comparisons of mutant viruses, mice were infected i.v. with 1x106 PFU of A2 or the mutant virus matched by g.e. For comparisons of brain infection, mice were infected i.c. with 5x105 PFU of A2 or A2.D295N/Δ297 matched by g.e. µMT mice were injected intraperitoneally (i.p.) weekly with 250 µg of 8A7H5 starting 4 dpi. For T cell depletions, mice were injected i.p. weekly with 250 µg of GK1.5 and H35-17.2 or control IgG.

Virus infections in vitro

A31 or NMuMG cells were seeded in 12-well plates at a density of 5x104 cells/well the day before infection. Cells were washed with Iscove’s Modified Dulbecco’s medium with 0.1% BSA prior to infection with the specified MOI of A2 or mutant virus matched by g.e. Infections were performed at 4 °C for 1.5 hr; unbound virus was then washed out and the cells were returned to DMEM with 10% FBS. For infections with neuraminidase pretreatment, cells were incubated with or without Vibrio cholerae neuraminidase (Sigma) in neuraminidase buffer (PBS with 1 mM CaCl2, 1 mM MgCl2) at 37 °C for 30 min. Neutralization assay infections were performed at an MOI of 0.1 PFU/cell with A2 virus or VP1 mutant virus matched by g.e. For serum neutralization assays, virus was incubated with the indicated serial dilution of serum at 4 °C for 30 min prior to addition to cells. For neutralization assays with VP1 mAb, virus was incubated with 10 µg of 8A7H5 or control IgG at 4 °C for 30 min prior to addition to cells. For quantification of encapsidated genome production, A31 cells were transfected with equal amounts of WT or mutant viral DNA using Lipofectamine 3000 (ThermoFisher). At 24 hr the media was removed, and the cells were washed and placed in fresh media to remove free DNA. At 72 hr, the cells and media were collected and the amount of encapsidated genomes were quantified as above. For images of plaque formation, plaque assays were imaged 6 dpi with an Olympus IX73 inverted microscope with a QImaging Retiga 6000 Mono camera. For quantifying plaque size, plaque assays were fixed with neutral buffered formalin (NBF), stained with 1% Crystal Violet, and imaged as above. Plaque area was quantified using ImageJ (NIH).

Viral mRNA and DNA quantification

Total RNA was isolated with TRIzol Reagent (Thermofisher) and phenol:chloroform extraction. Total cDNA was generated from 1 to 2 µg of RNA using random hexamer primers and Revertaid RT (Thermofisher). Taqman qPCR was used to quantify LT mRNA levels with normalization to TATA-Box Binding protein and compared to a standard curve to determine copy number (Maru et al., 2017). DNA was isolated with the Wizard Genomic DNA Purification Kit (Promega). Viral DNA was quantified by Taqman qPCR and compared to a standard curve to determine copy number (Wilson et al., 2012).

TA cloning for VP1 sequencing

VP1 sequences were PCR amplified from kidney DNA and cloned using the TOPO TA cloning kit (Thermofisher). Clones were screened by restriction digest for the presence of a VP1 sequence and sequenced. VP1 sequences were screened from the presence of the D295A/N and Δ297 mutations.

Hemagglutination assay

Viruses were diluted to 1x107 g.e./μL then serially two-fold diluted in PBS at the indicated pH. Virus dilutions were combined 1:1 with 0.45% sheep erythrocytes (Innovative Research) and incubated overnight at 4 °C. The highest dilution at each pH showing hemagglutination was reported as the HA titer.

ELISA

Full-length MuPyV VP1 pentamers were kindly provided by Robert Garcea (University of Colorado, Boulder). ELISA wells were coated overnight at 4 °C with 50 ng of VP1 pentamer or 1x107 PFU of A2 or mutant virus matched by g.e. For avidity measurements, 8A7H5-virus complexes were treated with NH4SCN for 15 min before the addition of the secondary and detection. 8A7H5 binding was normalized for each virus to signal in the absence of NH4SCN (Lauver et al., 2020; Pullen et al., 1986).

Flow cytometry

T cell depletions were confirmed in the peripheral blood at euthanasia by staining with antibodies for CD45, CD8α, and CD4. For quantification of kidney-infiltrating T cells, mice were injected 3 min prior to euthanasia with 3 µg of anti-CD45-FITC. T cells were isolated from the kidney by digestion with collagenase followed by centrifugation on a 44%/66% Percoll gradient. T cell numbers were determined using Flow Cytometry Absolute Count Standard beads (Bangs Laboratories). For quantification of in vitro infections, cells were trypsinized and stained with Fixable Viability Dye (ThermoFisher) followed by treatment with eBiosience Fixation/Permeabilization reagent (ThermoFisher). Cells were then stained with rat polyclonal T antigen Ab followed by an anti-rat secondary (Biolegend). For measuring sialic acid binding dependence, trypsinized cells were treated for 30 min at 37 °C in the presence or absence of Vibrio cholerae neuraminidase (Sigma). Bound virus was detected with rabbit polyclonal VP1 Ab followed by an anti-rabbit secondary. Samples were acquired on an LSRFortessa flow cytometer (BD Biosciences) and analyzed using FlowJo software (Tree Star).

Immunofluorescence and histological imaging

Kidneys were immersion-fixed in NBF overnight prior to processing and paraffin-embedding. For brain preparation, mice were perfused with NBF and whole heads were fixed overnight in NBF. The brains were then removed for processing and embedding. Formalin-fixed paraffin embedded kidney and brain sections were stained with VP1, CD13 (Abcam), GFAP (Abcam), Vimentin (R&D), and THP (R&D) antibodies. Hematoxylin and eosin (H&E)-stained sagittal sections of kidneys and coronal sections of brains were evaluated by a renal pathologist and a neuropathologist, respectively, in blinded fashion. For virus binding to kidney sections, paraformaldehyde-fixed kidneys were embedded in Tissue-Tek O.C.T. Compound (Sakura) and cryosectioned. Sections were treated with Vibrio cholerae neuraminidase (Sigma) or buffer for 30 min at 37 °C and then incubated with virus lysate for 1.5 hr. Sections were then stained with VP1, CD13 (Abcam), and THP (R&D) antibodies. Secondary antibodies used were anti-rabbit Alexa Fluor 647 (Jackson Immunoresearch), anti-goat Alexa Fluor 488 (Jackson Immunoresearch) and Alexa Fluor 555 anti-rat secondary (Abcam). Samples were mounted with Prolong Gold Antifade Mountant with DAPI (ThermoFisher). Samples were imaged on a Leica DM4000 fluorescence microscope. For representative fluorescence images, adjustments for brightness/contrast were done uniformly to all images in the group using LAS X (Leica).

Statistical analysis

All data are displayed as mean ± SD. The statistical tests performed are listed with the respective figures and were performed using Prism software (Graphpad). p Values of≤ 0.05 were considered significant. Exact p values for all comparisons in figures are listed in Supplementary file 3. Statistical methods were not used to pre-determine sample sizes; sample sizes were determined based on the authors’ experience with the model system. Sample sizes represent individual mice or biological replicates. VP1+ foci and VP1+ cells were counted in a blinded fashion, blinding was not employed for other experiments. All sample sizes and number of repeats are included in the Figure Legends.

Acknowledgements

We thank the staff of the Penn State College of Medicine Flow Cytometry Core Facility for assistance with flow cytometry experiments; the Comparative Medicine Histology Core for sample processing; Kimberly Erickson and Robert Garcea for the generous gifts of VP1 pentamers and rabbit VP1 antisera; and the staff of the Penn State College of Medicine Department of Comparative Medicine. This work was supported by NIH grants 5R01NS088367, 5R01NS092662, and R35NS127217. Figure 7 was created with BioRender.com.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Aron E Lukacher, Email: alukacher@pennstatehealth.psu.edu.

Karla Kirkegaard, Stanford University School of Medicine, United States.

Miles P Davenport, University of New South Wales, Australia.

Funding Information

This paper was supported by the following grants:

  • National Institutes of Health 5R01NS088367 to Aron E Lukacher.

  • National Institutes of Health 5R01NS092662 to Aron E Lukacher.

  • National Institutes of Health R35NS127217 to Aron E Lukacher.

Additional information

Competing interests

No competing interests declared.

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft.

Investigation.

Investigation.

Investigation.

Investigation.

Investigation.

Conceptualization, Supervision, Funding acquisition, Visualization, Project administration, Writing - review and editing.

Ethics

This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to an approved institutional animal care and use committee (IACUC) protocol (#PRAMS201447619) of The Pennsylvania State University.

Additional files

Supplementary file 1. VP1 mutations.

Identity, location, and frequency of detected VP1 mutations. Superscripted numbers indicate the VP1 loop in which the mutations are located (1: BC, 2: DE, 3: EF, 4: HI). Deletions are indicated by a “Δ” followed by the deleted residues; the identity of the deleted amino acids is indicated in “()”. The duplication of a residue is indicated with “dup.” The presence of two mutations in a virus is indicated with “+”. Sets of mutations separated by “and” indicate that both of the listed mutant viruses were isolated from the same mouse.

elife-83030-supp1.docx (17.8KB, docx)
Supplementary file 2. Oligonucleotide sequences.

Sequences of oligonucleotides used for site-directed mutagenesis, cloning, qPCR, and sequencing.

elife-83030-supp2.docx (15.2KB, docx)
Supplementary file 3. Statistical information.

Statistical tests used and exact p values for the comparisons of data presented in each figure as indicated.

elife-83030-supp3.docx (13.7KB, docx)
MDAR checklist

Data availability

All data files are uploaded as source data files with this manuscript. Images are deposited with Dryad at https://doi.org/10.5061/dryad.prr4xgxqj.

The following dataset was generated:

Lukacher AE, Lauver M, Jin G, Ayers K, Carey S, Specht C, Abendroth C. 2022. T cell deficiency precipitates antibody evasion and emergence of neurovirulent polyomavirus. Dryad Digital Repository.

References

  1. Abend JR, Low JA, Imperiale MJ. Inhibitory effect of gamma interferon on BK virus gene expression and replication. Journal of Virology. 2007;81:272–279. doi: 10.1128/JVI.01571-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ayers KN, Carey SN, Lukacher AE. Understanding polyomavirus CNS disease-a perspective from mouse models. The FEBS Journal. 2021;289:5744–5761. doi: 10.1111/febs.16083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Baer PC, Nockher WA, Haase W, Scherberich JE. Isolation of proximal and distal tubule cells from human kidney by immunomagnetic separation: technical note. Kidney International. 1997;52:1321–1331. doi: 10.1038/ki.1997.457. [DOI] [PubMed] [Google Scholar]
  4. Bar KJ, Sneller MC, Harrison LJ, Justement JS, Overton ET, Petrone ME, Salantes DB, Seamon CA, Scheinfeld B, Kwan RW, Learn GH, Proschan MA, Kreider EF, Blazkova J, Bardsley M, Refsland EW, Messer M, Clarridge KE, Tustin NB, Madden PJ, Oden K, O’Dell SJ, Jarocki B, Shiakolas AR, Tressler RL, Doria-Rose NA, Bailer RT, Ledgerwood JE, Capparelli EV, Lynch RM, Graham BS, Moir S, Koup RA, Mascola JR, Hoxie JA, Fauci AS, Tebas P, Chun T-W. Effect of HIV antibody VRC01 on viral rebound after treatment interruption. The New England Journal of Medicine. 2016;375:2037–2050. doi: 10.1056/NEJMoa1608243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bauer PH, Bronson RT, Fung SC, Freund R, Stehle T, Harrison SC, Benjamin TL. Genetic and structural analysis of a virulence determinant in polyomavirus VP1. Journal of Virology. 1995;69:7925–7931. doi: 10.1128/JVI.69.12.7925-7931.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bauer PH, Cui C, Liu WR, Stehle T, Harrison SC, DeCaprio JA, Benjamin TL. Discrimination between sialic acid-containing receptors and pseudoreceptors regulates polyomavirus spread in the mouse. Journal of Virology. 1999;73:5826–5832. doi: 10.1128/JVI.73.7.5826-5832.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Behzad-Behbahani A, Klapper PE, Vallely PJ, Cleator GM, Khoo SH. Detection of BK virus and JC virus DNA in urine samples from immunocompromised (HIV-infected) and immunocompetent (HIV-non-infected) patients using polymerase chain reaction and microplate hybridisation. Journal of Clinical Virology. 2004;29:224–229. doi: 10.1016/S1386-6532(03)00155-0. [DOI] [PubMed] [Google Scholar]
  8. Berger JR, Kaszovitz B, Post MJ, Dickinson G. Progressive multifocal leukoencephalopathy associated with human immunodeficiency virus infection: A review of the literature with A report of sixteen cases. Annals of Internal Medicine. 1987;107:78–87. doi: 10.7326/0003-4819-107-1-78. [DOI] [PubMed] [Google Scholar]
  9. Berger JR, Pall L, Lanska D, Whiteman M. Progressive multifocal leukoencephalopathy in patients with HIV infection. Journal of Neurovirology. 1998;4:59–68. doi: 10.3109/13550289809113482. [DOI] [PubMed] [Google Scholar]
  10. Berger JR, Fox RJ. Reassessing the risk of natalizumab-associated PML. Journal of Neurovirology. 2016;22:533–535. doi: 10.1007/s13365-016-0427-6. [DOI] [PubMed] [Google Scholar]
  11. Berger JR, Miller CS, Danaher RJ, Doyle K, Simon KJ, Norton E, Gorelik L, Cahir-McFarland E, Singhal D, Hack N, Owens JR, Nelson PT, Neltner JH. Distribution and quantity of sites of John Cunningham virus persistence in immunologically healthy patients. JAMA Neurology. 2017;74:437. doi: 10.1001/jamaneurol.2016.5537. [DOI] [PubMed] [Google Scholar]
  12. Bloomgren G, Richman S, Hotermans C, Subramanyam M, Goelz S, Natarajan A, Lee S, Plavina T, Scanlon JV, Sandrock A, Bozic C. Risk of natalizumab-associated progressive multifocal leukoencephalopathy. The New England Journal of Medicine. 2012;366:1870–1880. doi: 10.1056/NEJMoa1107829. [DOI] [PubMed] [Google Scholar]
  13. Boldorini R, Allegrini S, Miglio U, Paganotti A, Veggiani C, Mischitelli M, Monga G, Pietropaolo V. Genomic mutations of viral protein 1 and BK virus nephropathy in kidney transplant recipients. Journal of Medical Virology. 2009;81:1385–1393. doi: 10.1002/jmv.21520. [DOI] [PubMed] [Google Scholar]
  14. Buch MHC, Liaci AM, O’Hara SD, Garcea RL, Neu U, Stehle T, Meyers C. Structural and functional analysis of murine polyomavirus capsid proteins establish the determinants of ligand recognition and pathogenicity. PLOS Pathogens. 2015;11:e1005104. doi: 10.1371/journal.ppat.1005104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Byers AM, Hadley A, Lukacher AE. Protection against polyoma virus-induced tumors is perforin-independent. Virology. 2007;358:485–492. doi: 10.1016/j.virol.2006.08.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Caskey M, Klein F, Lorenzi JCC, Seaman MS, West AP, Buckley N, Kremer G, Nogueira L, Braunschweig M, Scheid JF, Horwitz JA, Shimeliovich I, Ben-Avraham S, Witmer-Pack M, Platten M, Lehmann C, Burke LA, Hawthorne T, Gorelick RJ, Walker BD, Keler T, Gulick RM, Fätkenheuer G, Schlesinger SJ, Nussenzweig MC. Viraemia suppressed in HIV-1-infected humans by broadly neutralizing antibody 3BNC117. Nature. 2015;522:487–491. doi: 10.1038/nature14411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Caskey M, Schoofs T, Gruell H, Settler A, Karagounis T, Kreider EF, Murrell B, Pfeifer N, Nogueira L, Oliveira TY, Learn GH, Cohen YZ, Lehmann C, Gillor D, Shimeliovich I, Unson-O’Brien C, Weiland D, Robles A, Kümmerle T, Wyen C, Levin R, Witmer-Pack M, Eren K, Ignacio C, Kiss S, West AP, Mouquet H, Zingman BS, Gulick RM, Keler T, Bjorkman PJ, Seaman MS, Hahn BH, Fätkenheuer G, Schlesinger SJ, Nussenzweig MC, Klein F. Antibody 10-1074 suppresses viremia in HIV-1-infected individuals. Nature Medicine. 2017;23:185–191. doi: 10.1038/nm.4268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Chapagain ML, Verma S, Mercier F, Yanagihara R, Nerurkar VR. Polyomavirus JC infects human brain microvascular endothelial cells independent of serotonin receptor 2A. Virology. 2007;364:55–63. doi: 10.1016/j.virol.2007.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Chen XS, Stehle T, Harrison SC. Interaction of polyomavirus internal protein VP2 with the major capsid protein VP1 and implications for participation of VP2 in viral entry. The EMBO Journal. 1998;17:3233–3240. doi: 10.1093/emboj/17.12.3233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Chen Y, Bord E, Tompkins T, Miller J, Tan CS, Kinkel RP, Stein MC, Viscidi RP, Ngo LH, Koralnik IJ. Asymptomatic reactivation of JC virus in patients treated with natalizumab. New England Journal of Medicine. 2009;361:1067–1074. doi: 10.1056/NEJMoa0904267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Corbridge SM, Rice RC, Bean LA, Wüthrich C, Dang X, Nicholson DA, Koralnik IJ. Jc virus infection of meningeal and choroid plexus cells in patients with progressive multifocal leukoencephalopathy. Journal of Neurovirology. 2019;25:520–524. doi: 10.1007/s13365-019-00753-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Cortese I, Reich DS, Nath A. Progressive multifocal leukoencephalopathy and the spectrum of JC virus-related disease. Nature Reviews. Neurology. 2021;17:37–51. doi: 10.1038/s41582-020-00427-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Delbue S, Elia F, Carloni C, Pecchenini V, Franciotta D, Gastaldi M, Colombo E, Signorini L, Carluccio S, Bellizzi A, Bergamaschi R, Ferrante P. Jc virus urinary excretion and seroprevalence in natalizumab-treated multiple sclerosis patients. Journal of Neurovirology. 2015;21:645–652. doi: 10.1007/s13365-014-0268-0. [DOI] [PubMed] [Google Scholar]
  24. Dialynas DP, Quan ZS, Wall KA, Pierres A, Quintáns J, Loken MR, Pierres M, Fitch FW. Characterization of the murine T cell surface molecule, designated L3T4, identified by monoclonal antibody GK1.5: similarity of L3T4 to the human leu-3/T4 molecule. Journal of Immunology. 1983;131:2445–2451. [PubMed] [Google Scholar]
  25. Dubois V, Dutronc H, Lafon ME, Poinsot V, Pellegrin JL, Ragnaud JM, Ferrer AM, Fleury HJ. Latency and reactivation of JC virus in peripheral blood of human immunodeficiency virus type 1-infected patients. Journal of Clinical Microbiology. 1997;35:2288–2292. doi: 10.1128/jcm.35.9.2288-2292.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Erickson KD, Garcea RL. Viral replication centers and the DNA damage response in JC virus-infected cells. Virology. 2019;528:198–206. doi: 10.1016/j.virol.2018.12.014. [DOI] [PubMed] [Google Scholar]
  27. Fox RJ, Rudick RA. Risk stratification and patient counseling for natalizumab in multiple sclerosis. Neurology. 2012;78:436–437. doi: 10.1212/WNL.0b013e318245d2d0. [DOI] [PubMed] [Google Scholar]
  28. Geoghegan EM, Pastrana DV, Schowalter RM, Ray U, Gao W, Ho M, Pauly GT, Sigano DM, Kaynor C, Cahir-McFarland E, Combaluzier B, Grimm J, Buck CB. Infectious entry and neutralization of pathogenic JC polyomaviruses. Cell Reports. 2017;21:1169–1179. doi: 10.1016/j.celrep.2017.10.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Golstein P, Goridis C, Schmitt-Verhulst AM, Hayot B, Pierres A, Agthoven AV, Kaufmann Y, Eshhar Z, Pierres M. Lymphoid cell surface interaction structures detected using cytolysis-inhibiting monoclonal antibodies. Immunological Reviews. 1982;68:5–42. doi: 10.1111/j.1600-065X.1982.tb01058.x. [DOI] [PubMed] [Google Scholar]
  30. Gorelik L, Reid C, Testa M, Brickelmaier M, Bossolasco S, Pazzi A, Bestetti A, Carmillo P, Wilson E, McAuliffe M, Tonkin C, Carulli JP, Lugovskoy A, Lazzarin A, Sunyaev S, Simon K, Cinque P. Progressive multifocal leukoencephalopathy (PML) development is associated with mutations in JC virus capsid protein VP1 that change its receptor specificity. The Journal of Infectious Diseases. 2011;204:103–114. doi: 10.1093/infdis/jir198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Haley SA, O’Hara BA, Nelson CDS, Brittingham FLP, Henriksen KJ, Stopa EG, Atwood WJ. Human polyomavirus receptor distribution in brain parenchyma contrasts with receptor distribution in kidney and choroid plexus. The American Journal of Pathology. 2015;185:2246–2258. doi: 10.1016/j.ajpath.2015.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Heiser K, Nicholas C, Garcea RL. Activation of DNA damage repair pathways by murine polyomavirus. Virology. 2016;497:346–356. doi: 10.1016/j.virol.2016.07.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Inuzuka T, Ueda Y, Arasawa S, Takeda H, Matsumoto T, Osaki Y, Uemoto S, Seno H, Marusawa H. Expansion of viral variants associated with immune escape and impaired virion secretion in patients with HBV reactivation after resolved infection. Scientific Reports. 2018;8:18070. doi: 10.1038/s41598-018-36093-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Jelcic I, Combaluzier B, Jelcic I, Faigle W, Senn L, Reinhart BJ, Ströh L, Nitsch RM, Stehle T, Sospedra M, Grimm J, Martin R. Broadly neutralizing human monoclonal JC polyomavirus VP1-specific antibodies as candidate therapeutics for progressive multifocal leukoencephalopathy. Science Translational Medicine. 2015;7:306ra150. doi: 10.1126/scitranslmed.aac8691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Jelcic I, Jelcic I, Kempf C, Largey F, Planas R, Schippling S, Budka H, Sospedra M, Martin R. Mechanisms of immune escape in central nervous system infection with neurotropic JC virus variant. Annals of Neurology. 2016;79:404–418. doi: 10.1002/ana.24574. [DOI] [PubMed] [Google Scholar]
  36. Jiang M, Zhao L, Gamez M, Imperiale MJ. Roles of ATM and ATR-mediated DNA damage responses during lytic BK polyomavirus infection. PLOS Pathogens. 2012;8:e1002898. doi: 10.1371/journal.ppat.1002898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Justice JL, Needham JM, Thompson SR, Banks L. BK polyomavirus activates the DNA damage response to prolong S phase. Journal of Virology. 2019;93:e00130-19. doi: 10.1128/JVI.00130-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Kalinina T, Iwanski A, Will H, Sterneck M. Deficiency in virion secretion and decreased stability of the hepatitis B virus immune escape mutant G145R. Hepatology. 2003;38:1274–1281. doi: 10.1053/jhep.2003.50484. [DOI] [PubMed] [Google Scholar]
  39. Kinchen VJ, Zahid MN, Flyak AI, Soliman MG, Learn GH, Wang S, Davidson E, Doranz BJ, Ray SC, Cox AL, Crowe JE, Bjorkman PJ, Shaw GM, Bailey JR. Broadly neutralizing antibody mediated clearance of human hepatitis C virus infection. Cell Host & Microbe. 2018;24:717–730. doi: 10.1016/j.chom.2018.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Krautkrämer E, Klein TM, Sommerer C, Schnitzler P, Zeier M. Mutations in the BC-loop of the BKV VP1 region do not influence viral load in renal transplant patients. Journal of Medical Virology. 2009;81:75–81. doi: 10.1002/jmv.21359. [DOI] [PubMed] [Google Scholar]
  41. Lauver MD, Goetschius DJ, Netherby-Winslow CS, Ayers KN, Jin G, Haas DG, Frost EL, Cho SH, Bator CM, Bywaters SM, Christensen ND, Hafenstein SL, Lukacher AE. Antibody escape by polyomavirus capsid mutation facilitates neurovirulence. eLife. 2020;9:e61056. doi: 10.7554/eLife.61056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Liddington RC, Yan Y, Moulai J, Sahli R, Benjamin TL, Harrison SC. Structure of simian virus 40 at 3.8-A resolution. Nature. 1991;354:278–284. doi: 10.1038/354278a0. [DOI] [PubMed] [Google Scholar]
  43. Lindner JM, Cornacchione V, Sathe A, Be C, Srinivas H, Riquet E, Leber XC, Hein A, Wrobel MB, Scharenberg M, Pietzonka T, Wiesmann C, Abend J, Traggiai E. Human memory B cells harbor diverse cross-neutralizing antibodies against BK and JC polyomaviruses. Immunity. 2019;50:668–676. doi: 10.1016/j.immuni.2019.02.003. [DOI] [PubMed] [Google Scholar]
  44. Lukacher AE, Wilson CS. Resistance to polyoma virus-induced tumors correlates with CTL recognition of an immunodominant H-2dk-restricted epitope in the middle T protein. Journal of Immunology. 1998;160:1724–1734. [PubMed] [Google Scholar]
  45. Luo C, Hirsch HH, Kant J, Randhawa P. VP-1 quasispecies in human infection with polyomavirus BK. Journal of Medical Virology. 2012;84:152–161. doi: 10.1002/jmv.22147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Lynch RM, Boritz E, Coates EE, DeZure A, Madden P, Costner P, Enama ME, Plummer S, Holman L, Hendel CS, Gordon I, Casazza J, Conan-Cibotti M, Migueles SA, Tressler R, Bailer RT, McDermott A, Narpala S, O’Dell S, Wolf G, Lifson JD, Freemire BA, Gorelick RJ, Pandey JP, Mohan S, Chomont N, Fromentin R, Chun TW, Fauci AS, Schwartz RM, Koup RA, Douek DC, Hu Z, Capparelli E, Graham BS, Mascola JR, Ledgerwood JE, VRC 601 Study Team Virologic effects of broadly neutralizing antibody VRC01 administration during chronic HIV-1 infection. Science Translational Medicine. 2015;7:319ra206. doi: 10.1126/scitranslmed.aad5752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Maginnis MS, Ströh LJ, Gee GV, O’Hara BA, Derdowski A, Stehle T, Atwood WJ. Progressive multifocal leukoencephalopathy-associated mutations in the JC polyomavirus capsid disrupt lactoseries tetrasaccharide C binding. MBio. 2013;4:e00247-13. doi: 10.1128/mBio.00247-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Maru S, Jin G, Desai D, Amin S, Lauver MD, Lukacher AE. Inhibition of retrograde transport limits polyomavirus infection in vivo. MSphere. 2017;2:e00494-17. doi: 10.1128/mSphereDirect.00494-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Mehandru S, Vcelar B, Wrin T, Stiegler G, Joos B, Mohri H, Boden D, Galovich J, Tenner-Racz K, Racz P, Carrington M, Petropoulos C, Katinger H, Markowitz M. Adjunctive passive immunotherapy in human immunodeficiency virus type 1-infected individuals treated with antiviral therapy during acute and early infection. Journal of Virology. 2007;81:11016–11031. doi: 10.1128/JVI.01340-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Mockus TE, Netherby-Winslow CS, Atkins HM, Lauver MD, Jin G, Ren HM, Lukacher AE, Banks L. CD8 T cells and STAT1 signaling are essential codeterminants in protection from polyomavirus encephalopathy. Journal of Virology. 2020;94:e02038-19. doi: 10.1128/JVI.02038-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Neu U, Maginnis MS, Palma AS, Ströh LJ, Nelson CDS, Feizi T, Atwood WJ, Stehle T. Structure-function analysis of the human JC polyomavirus establishes the lstc pentasaccharide as a functional receptor motif. Cell Host & Microbe. 2010;8:309–319. doi: 10.1016/j.chom.2010.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. O’Hara BA, Gee GV, Atwood WJ, Haley SA. Susceptibility of primary human choroid plexus epithelial cells and meningeal cells to infection by JC virus. Journal of Virology. 2018;92:e00105-18. doi: 10.1128/JVI.00105-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. O’Hara BA, Morris-Love J, Gee GV, Haley SA, Atwood WJ. Jc virus infected choroid plexus epithelial cells produce extracellular vesicles that infect glial cells independently of the virus attachment receptor. PLOS Pathogens. 2020;16:e1008371. doi: 10.1371/journal.ppat.1008371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Pavlovic D, Patel MA, Patera AC, Peterson I, Consortium PML. T cell deficiencies as a common risk factor for drug associated progressive multifocal leukoencephalopathy. Immunobiology. 2018;223:508–517. doi: 10.1016/j.imbio.2018.01.002. [DOI] [PubMed] [Google Scholar]
  55. Peretti A, Geoghegan EM, Pastrana DV, Smola S, Feld P, Sauter M, Lohse S, Ramesh M, Lim ES, Wang D, Borgogna C, FitzGerald PC, Bliskovsky V, Starrett GJ, Law EK, Harris RS, Killian JK, Zhu J, Pineda M, Meltzer PS, Boldorini R, Gariglio M, Buck CB. Characterization of BK polyomaviruses from kidney transplant recipients suggests a role for APOBEC3 in driving in-host virus evolution. Cell Host & Microbe. 2018;23:628–635. doi: 10.1016/j.chom.2018.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Perkins MR, Ryschkewitsch C, Liebner JC, Monaco MCG, Himelfarb D, Ireland S, Roque A, Edward HL, Jensen PN, Remington G, Abraham T, Abraham J, Greenberg B, Kaufman C, LaGanke C, Monson NL, Xu X, Frohman E, Major EO, Douek DC. Changes in JC virus-specific T cell responses during natalizumab treatment and in natalizumab-associated progressive multifocal leukoencephalopathy. PLOS Pathogens. 2012;8:e1003014. doi: 10.1371/journal.ppat.1003014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Pullen GR, Fitzgerald MG, Hosking CS. Antibody avidity determination by ELISA using thiocyanate elution. Journal of Immunological Methods. 1986;86:83–87. doi: 10.1016/0022-1759(86)90268-1. [DOI] [PubMed] [Google Scholar]
  58. Qian M, Tsai B. Lipids and proteins act in opposing manners to regulate polyomavirus infection. Journal of Virology. 2010;84:9840–9852. doi: 10.1128/JVI.01093-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Que L, Li Y, Dainichi T, Kukimoto I, Nishiyama T, Nakano Y, Shima K, Suzuki T, Sato Y, Horike S, Aizaki H, Watashi K, Kato T, Aly HH, Watanabe N, Kabashima K, Wakae K, Muramatsu M. IFN-γ‒induced APOBEC3B contributes to merkel cell polyomavirus genome mutagenesis in merkel cell carcinoma. The Journal of Investigative Dermatology. 2021;142:1793–1803. doi: 10.1016/j.jid.2021.12.019. [DOI] [PubMed] [Google Scholar]
  60. Ray U, Cinque P, Gerevini S, Longo V, Lazzarin A, Schippling S, Martin R, Buck CB, Pastrana DV. Jc polyomavirus mutants escape antibody-mediated neutralization. Science Translational Medicine. 2015;7:306ra151. doi: 10.1126/scitranslmed.aab1720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Reid CE, Li H, Sur G, Carmillo P, Bushnell S, Tizard R, McAuliffe M, Tonkin C, Simon K, Goelz S, Cinque P, Gorelik L, Carulli JP. Sequencing and analysis of JC virus DNA from natalizumab-treated PML patients. The Journal of Infectious Diseases. 2011;204:237–244. doi: 10.1093/infdis/jir256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Ren HM, Kolawole EM, Ren M, Jin G, Netherby-Winslow CS, Wade Q, Rahman ZSM, Evavold BD, Lukacher AE. Il-21 from high-affinity CD4 T cells drives differentiation of brain-resident CD8 T cells during persistent viral infection. Science Immunology. 2020;5:eabb5590. doi: 10.1126/sciimmunol.abb5590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Sanjuán R, Domingo-Calap P. Mechanisms of viral mutation. Cellular and Molecular Life Sciences. 2016;73:4433–4448. doi: 10.1007/s00018-016-2299-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Schneider-Hohendorf T, Rossaint J, Mohan H, Böning D, Breuer J, Kuhlmann T, Gross CC, Flanagan K, Sorokin L, Vestweber D, Zarbock A, Schwab N, Wiendl H. Vla-4 blockade promotes differential routes into human CNS involving PSGL-1 rolling of T cells and MCAM-adhesion of th17 cells. The Journal of Experimental Medicine. 2014;211:1833–1846. doi: 10.1084/jem.20140540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Son YM, Cheon IS, Wu Y, Li C, Wang Z, Gao X, Chen Y, Takahashi Y, Fu YX, Dent AL. Tissue-resident CD4+ T helper cells assist the development of protective respiratory B and CD8+ T cell memory responses. Science Immunology. 2021;6:eabb6852. doi: 10.1126/sciimmunol.abb6852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Sowd GA, Li NY, Fanning E. ATM and ATR activities maintain replication fork integrity during SV40 chromatin replication. PLOS Pathogens. 2013;9:e1003283. doi: 10.1371/journal.ppat.1003283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Stehle T, Harrison SC. High-resolution structure of a polyomavirus VP1-oligosaccharide complex: implications for assembly and receptor binding. The EMBO Journal. 1997;16:5139–5148. doi: 10.1093/emboj/16.16.5139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Stüve O, Marra CM, Bar-Or A, Niino M, Cravens PD, Cepok S, Frohman EM, Phillips JT, Arendt G, Jerome KR, Cook L, Grand’Maison F, Hemmer B, Monson NL, Racke MK. Altered CD4+/CD8+ T-cell ratios in cerebrospinal fluid of natalizumab-treated patients with multiple sclerosis. Archives of Neurology. 2006;63:1383–1387. doi: 10.1001/archneur.63.10.1383. [DOI] [PubMed] [Google Scholar]
  69. Sunyaev SR, Lugovskoy A, Simon K, Gorelik L. Adaptive mutations in the JC virus protein capsid are associated with progressive multifocal leukoencephalopathy (PML) PLOS Genetics. 2009;5:e1000368. doi: 10.1371/journal.pgen.1000368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Swimm AI, Bornmann W, Jiang M, Imperiale MJ, Lukacher AE, Kalman D. Abl family tyrosine kinases regulate sialylated ganglioside receptors for polyomavirus. Journal of Virology. 2010;84:4243–4251. doi: 10.1128/JVI.00129-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Takahashi K, Sekizuka T, Fukumoto H, Nakamichi K, Suzuki T, Sato Y, Hasegawa H, Kuroda M, Katano H, Banks L. Deep-sequence identification and role in virus replication of a JC virus quasispecies in patients with progressive multifocal leukoencephalopathy. Journal of Virology. 2016;91:e01335-16. doi: 10.1128/JVI.01335-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Tokonami N, Takata T, Beyeler J, Ehrbar I, Yoshifuji A, Christensen EI, Loffing J, Devuyst O, Olinger EG. Uromodulin is expressed in the distal convoluted tubule, where it is critical for regulation of the sodium chloride cotransporter NCC. Kidney International. 2018;94:701–715. doi: 10.1016/j.kint.2018.04.021. [DOI] [PubMed] [Google Scholar]
  73. Toma J, Weinheimer SP, Stawiski E, Whitcomb JM, Lewis ST, Petropoulos CJ, Huang W. Loss of asparagine-linked glycosylation sites in variable region 5 of human immunodeficiency virus type 1 envelope is associated with resistance to CD4 antibody ibalizumab. Journal of Virology. 2011;85:3872–3880. doi: 10.1128/JVI.02237-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Tremolada S, Delbue S, Castagnoli L, Allegrini S, Miglio U, Boldorini R, Elia F, Gordon J, Ferrante P. Mutations in the external loops of BK virus VP1 and urine viral load in renal transplant recipients. Journal of Cellular Physiology. 2010;222:195–199. doi: 10.1002/jcp.21937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Trkola A, Kuster H, Rusert P, Joos B, Fischer M, Leemann C, Manrique A, Huber M, Rehr M, Oxenius A, Weber R, Stiegler G, Vcelar B, Katinger H, Aceto L, Günthard HF. Delay of HIV-1 rebound after cessation of antiretroviral therapy through passive transfer of human neutralizing antibodies. Nature Medicine. 2005;11:615–622. doi: 10.1038/nm1244. [DOI] [PubMed] [Google Scholar]
  76. Tsai B, Gilbert JM, Stehle T, Lencer W, Benjamin TL, Rapoport TA. Gangliosides are receptors for murine polyoma virus and SV40. The EMBO Journal. 2003;22:4346–4355. doi: 10.1093/emboj/cdg439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Van Loy T, Thys K, Ryschkewitsch C, Lagatie O, Monaco MC, Major EO, Tritsmans L, Stuyver LJ. Jc virus quasispecies analysis reveals a complex viral population underlying progressive multifocal leukoencephalopathy and supports viral dissemination via the hematogenous route. Journal of Virology. 2015;89:1340–1347. doi: 10.1128/JVI.02565-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Vaz B, Cinque P, Pickhardt M, Weber T. Analysis of the transcriptional control region in progressive multifocal leukoencephalopathy. Journal of Neurovirology. 2000;6:398–409. doi: 10.3109/13550280009018304. [DOI] [PubMed] [Google Scholar]
  79. Wilson JJ, Lin E, Pack CD, Frost EL, Hadley A, Swimm AI, Wang J, Dong Y, Breeden CP, Kalman D, Newell KA, Lukacher AE. Gamma interferon controls mouse polyomavirus infection in vivo. Journal of Virology. 2011;85:10126–10134. doi: 10.1128/JVI.00761-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Wilson JJ, Pack CD, Lin E, Frost EL, Albrecht JA, Hadley A, Hofstetter AR, Tevethia SS, Schell TD, Lukacher AE. Cd8 T cells recruited early in mouse polyomavirus infection undergo exhaustion. Journal of Immunology. 2012;188:4340–4348. doi: 10.4049/jimmunol.1103727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Wollebo HS, White MK, Gordon J, Berger JR, Khalili K. Persistence and pathogenesis of the neurotropic polyomavirus JC. Annals of Neurology. 2015;77:560–570. doi: 10.1002/ana.24371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Zhao L, Imperiale MJ. A cell culture model of BK polyomavirus persistence, genome recombination, and reactivation. MBio. 2021;12:e0235621. doi: 10.1128/mBio.02356-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Zheng HY, Ikegaya H, Takasaka T, Matsushima-Ohno T, Sakurai M, Kanazawa I, Kishida S, Nagashima K, Kitamura T, Yogo Y. Characterization of the VP1 loop mutations widespread among JC polyomavirus isolates associated with progressive multifocal leukoencephalopathy. Biochemical and Biophysical Research Communications. 2005a;333:996–1002. doi: 10.1016/j.bbrc.2005.06.012. [DOI] [PubMed] [Google Scholar]
  84. Zheng HY, Takasaka T, Noda K, Kanazawa A, Mori H, Kabuki T, Joh K, Oh-Ishi T, Ikegaya H, Nagashima K, Hall WW, Kitamura T, Yogo Y. New sequence polymorphisms in the outer loops of the JC polyomavirus major capsid protein (VP1) possibly associated with progressive multifocal leukoencephalopathy. The Journal of General Virology. 2005b;86:2035–2045. doi: 10.1099/vir.0.80863-0. [DOI] [PubMed] [Google Scholar]

Editor's evaluation

Karla Kirkegaard 1

Progressive multifocal leukoencepalopathy (PML) is a degenerative disease of the brain that is caused by a virus in some immunocompromised patients, especially those with T-cell deficiencies. The authors use a mouse model of this virus infection to examine the components of the immune system that determine whether or not the virus will replicate and escape B-cell control. The study addresses an important question, especially given a resurgence in PML in recent years due to increasing use of immunomodulatory monoclonal antibodies to treat various diseases. The conclusions are supported by the data and confirm the expected critical role of T-cells in controlling viral early replication. The correlation of this early T-cell control with viral mutations in B-cell epitopes clarifies the relationship between proximal and distal disease causality.

Decision letter

Editor: Karla Kirkegaard1

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Decision letter after peer review:

[Editors’ note: the authors submitted for reconsideration following the decision after peer review. What follows is the decision letter after the first round of review.]

Thank you for submitting the paper "T Cell Deficiency Precipitates Antibody Evasion and Emergence of Neurovirulent Polyomavirus" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by a Senior Editor.

The reviewers all agreed that the results are fascinating and important, due to the role of compromised immune systems for polyoma and indeed other viruses. Nonetheless, as you will see below, the reviewers had detailed issues with experimental justification for some of the conclusions, overly complicated prose, and organization. In the cases of immune depletion, additional controls are requested.

The policy of eLife is not to accept papers that require more than a few months of work. Considering the requests for additional experimentation and, just as importantly, revision of the flow and logic of the manuscript, it is not accepted for publication or revision at this point. However, the Editors may be willing to consider a revised version if comments such as requests for genetic reconstructions, confirmations of antibody depletion, and careful editing interpretations can be fully addressed.

Below, the comments of the reviewers are combined, in general, and figure-by-figure. This organization was necessary because the writing made it difficult to distinguish which experiments supported which conclusion.

Of all manuscripts submitted to eLife, only a minority will ultimately be accepted for publication. The policy of eLife is to reject manuscripts that require major revision, to facilitate the authors' submitting the manuscript elsewhere. In the case of this interesting manuscript, we encourage resubmission provided you and your colleagues are willing to address the critiques below. Otherwise, we hope that the reviews and our feedback will help you in publishing your manuscript. Thank you for giving us the opportunity to review this work.

Summary

This is an interesting study of mouse polyomavirus (MuPyV) as a model for the human pathogen JCPyV. The latter can spread to the brain in immunocompromised individuals, where replication leads to progressive multifocal leukoencephalopathy (PML). This replication is often accompanied by mutations in the major viral capsid protein, VP1, that make it resistant to certain neutralizing antibodies. The selection for such resistance can be recapitulated in the mouse model. The authors examine the contributions of the T cell response to the appearance of these resistant viruses and examine the biology of an interesting mutant that they discovered. Thus, this study addresses an important question, especially given a resurgence in PML in recent years due to the increasing use of immunomodulatory monoclonal antibodies to treat various diseases. JC polyomavirus causes Progressive Multifocal Leukoencephalopathy (PML) in T-cell immunosuppressed patients. The host-pathogen interaction behind this condition is not fully understood. Using a complicated murine infection model, the authors address the particular role of T cells in this evolution. The model includes commercially available B-cell depleted mice, first infected with MuPyV, then treated with an anti-VP1mAb, and 16 days later with IgG control or anti-CD4 and/or anti-CD8 antibodies to induce T-cell depletion. Viral replication is monitored in the kidney and blood at different times post-infection in T-cell-depleted versus control mice and the emergence of resistant variants is characterized. Finally, the fitness of a resistant variant presenting two mutations is compared in cells, tissues, and mice. The authors show that CD4 T-cells play a critical role in limiting or delaying the emergence of resistant variants. In addition, they highlight that variants that can emerge in absence of T-cell control show fitness loss in kidney but increased neurovirulence. These observations shed some light on JC virus pathogenesis in T-cell suppressed patients. The conclusions are overall supported by the data and confirm the expected critical role of T-cells in controlling viral replication. However, concerns about the presentation will require additional editing and experimental work.

Comments concerning the presentation

1. An overall concern I have is that the first part of the introduction and the entire abstract sound as though JCPyV itself is under investigation. These possibly misleading sections need to be rewritten. There is no need to be concerned that the relevance of their model is going to be questioned.

2. The relevance of these mutations relative to existing JC mutants is not made clear. In fact, two out of three reviewers missed the point that the mouse model involved a different virus from the human one. Clarified prose is needed.

3. It would be good to give some background on JCPyV receptor usage and also if the receptor(s) is (are) conserved between mouse and human and in the different tissues.

4. The last paragraph of the introduction somewhat exaggerates the findings, particularly the sentence beginning "In this study…." It is not clear that Ab-deficient mice are really the equivalent of PML patients since the patients DO produce antibodies against the virus. The model is not being questioned but it should not be oversold.

Comments concerning the figures

Figure 1: Shows that treatment with anti CD4+ T cell antibody, but not anti-CD8+ T cell antibody or IgG control antibody, reduces control of the virus in a mouse model that contains B cells.

1. The tissue should be clearly indicated in the legend and ideally on the panel.

2. The word 'resurgence' is not appropriate because the data in Figure 2B do not show early viremia.

3. The original comment from all three reviewers was that fluorescent cytometry is needed to confirm T-cell depletion, especially in the case of CD8+ T cells. However, it is stated somewhere that these are commercially obtained preparations. If this is the case and there is a validation of the depletions, that needs to be clearly stated. These controls are important, however they are obtained.

Supplemental Figure 1: Throughout the manuscript, the term 'blind spot' is used. This colloquial language implies a structural mechanism of neutralization that is often the case but not always.

1. Instead, more precise evolutionary language (especially for a general audience such as that of eLife) such as "anti-VP1 treatment allows the selection of VP1-antibody resistant viruses.

2. The data themselves show convincingly that the anti-VP1 antibody specifically neutralizes wild-type virus but not the A2Δ295 virus. At this point in the manuscript, the A2D295 virus has not been mentioned so it is not clear why it is S.Figure 1.

3. In (E), the y-axis of 'neutralizing titer' is not clear. Is it 'extent depletion'? Is it the

required serum dilution?

Figure 2 shows convincingly that the combination of anti-CD4+ and anti-CD8+ antibodies greatly reduce viral control in kidney, spleen, and brain.

1. Fluorescent cell quantitation is not provided to ensure the depletion of the relevant T cell populations,

2. The data in (B) cannot be clearly deciphered and the x-axis should be expanded.

However, the remaining panels in B, dissect the data in the time course. As in Figure 1, these data show that there is little control of the virus in the mice treated with anti-CD8+ antibodies.

Figure 3 is the strongest figure in the paper, showing that the sequences of viruses that grow upon anti-VP1 monoclonal antibody treatment of B-cell-deficient mice show a variety of sequence changes. Interestingly, a Δ295 and other amino acid 295 mutations are selected under all conditions and thus, as the authors conclude, confer resistance to the anti-VP1 antibody under all conditions. However, more mutations seem to be required in the absence of T cell depletion, and different spectra of mutations are found under each condition. Panel B shows the location in the VP1-antibody complex of several of the amino acids involved. Panel C shows a similar lack of neutralization for all selected viruses in cultured cells, and Panel D shows that there is different tropism and fitness for the various viruses in the kidney and spleen of infected B-cell-deficient mice in the presence of the anti-VP1 antibody.

1. It is not clear whether the mutations of interest have been installed in the otherwise wild-type virus free of other mutations that might have been selected; if it is not, this should be clearly stated.

Figure 4 shows explicit challenges with the 295 virus.

1. This virus is, presumably, reconstructed so that only this mutation is present. If it is not, it should be, and several points brought up by one of the reviewers is then relevant. Specifically, "The extensive analysis of the A2.D295N, A2.Δ297, and double mutant viruses is impressive. Given that the double mutant has enhanced replication properties, was the entire genome sequenced to confirm nothing has happened in the non-coding control region or the early region. It is not clear from the methods. Another sequencing-related question relates to the paragraph on lines 214-221: how many clones did they analyze, in order to rule out the presence of the D295N/A mutations alone? Could there have been a low-frequency present that was missed (and that might only be detected by NGS)?"

2. The legend does not describe this but the text (line 152) states that the mice used were B-cell deficient. If that is the case, this experiment with the B-cell escape variant is the same experiment done with wild-type virus previously and thus does not enhance the findings of the paper at this point, unless this reviewer is missing the point. Perhaps it was performed in the B-cell-deficient mouse supplemented with the specific antibody?

3. Why are infections done in the hind footpad in the initial protocol and then by IV for the challenge or to test the fitness of the different mutants? The infection route should be clearly described and justified in the result section.

Figure 5 switches up the viruses under study. It shows a very good experiment in which the viruses have now clearly been reconstructed in isolation. However, several inconsistencies in the data likely make it necessary to repeat several aspects of these experiments.

1. 297, D295N, and double mutant viruses were measured by somewhat indirect means such as fold increase over input and fixed time points at two different MOIs, rather than growth curves at a fixed MOI so that any differences in total yield can be clearly assessed.

2. In Panel I, the frequencies of the D295N/Δ297 double mutation in the original mice in which they were isolated, as well as a different combination of D295A/297 from another mouse, are shown. These data do not contribute mechanistically to Figure 5 and should be moved to Panel 3 where the mutations are first discussed. They do, however, provide a basis for discussion of the potential order of mutational events, which should be in the discussion.

3. The double mutant virus seems fitter than the wt. However, the abundance of this variant is very low in Fig5I, how do the authors explain that?

4. Figure 5 D to F and Figure 5 sup 1 are showing very close assays. In addition, the results are not always consistent depending on the readout: in Figure 5 D to F D295N is consistently less fit than A2 while in the supplementary figure, in panel A it looks fitter. Is it a transfected virus in the sup panel A? Why is A2 del 297 not shown in figure 5 panel A? Again, in panel E of Figure 5, this variant is as fit as wt but not in the other assay.

5. Sensitivity to neuraminidase: based on Figure 5 G and 5 sup D, del295 seems insensitive to sialidase pre-treatment, then why in panels E and F of Figure 5 sup it is sensitive?

6. With the way results are presented, it is not clear that panel H represents kidney viral loads after mice infection.

7. In figure 5H, the double mutant is as fit as the wt in the kidney. This is not reproduced in Figure 6.

Figure 6.

1. Why did the authors perform IC inoculation rather than IV or inoculation in the hind footpad as before? There are likely reasons for this, but they need to be explained.

2. The authors show in several figures that the double mutant has an advantage in cells, and this is shown here in the mouse brain. If such variants present increased neurovirulence, the authors should try to understand by what mechanism. Is binding to the receptor changed in the brain? Binding assay in brain tissues should be done in the same way as with kidney tissues.

Supplement to Figure 6 presents further exploration into the comparative phenotypes of the four viruses presented in Figure 5.

Reviewer #1 (Recommendations for the authors):

– In the introduction, it would be good to give some background on JCPyV receptor usage and also if the receptor(s) is(are) conserved between mouse and human and in the different tissues.

– Figures 1 and 2 should be grouped in a single and simplified figure. The experimental setup is the same and only the site of genome replication and the time of analysis differ. In figure 1, the tissue should be clearly indicated in the legend and ideally on the panel.

– Figure 4: Viral loads are not different than in absence of virus challenge in figure 3, the authors should comment.

– Why are infections done in the hind footpad in the initial protocol and then by IV for the challenge or to test the fitness of the different mutants? The infection route should be clearly described and justified in the result section.

– Figure 5 and the supplementary figure 5 are confusing and several points should be clarified in the result section:

o the double mutant virus seems fitter than the wt. However, the abundance of this variant is very low in Fig5I, how do the authors explain that?

o Figure 5 D to F and Figure 5 sup 1 are showing very close assays. In addition, the results are not always consistent depending on the readout: in Figure 5 D to F D295N is consistently less fit than A2 while in the supplementary figure, in panel A it looks fitter. Is it a transfected virus in the sup panel A? Why is A2 del 297 not shown in figure 5 panel A? Again, in panel E of Figure 5, this variant is as fit as wt but not in the other assay.

o Sensitivity to neuraminidase: based on Figure 5 G and 5 sup D, del295 seems unsensitive to sialidase pre-treatment, then why in panels E and F of Figure 5 sup it is sensitive?

o With the way results are presented, it is not clear that panel H represents kidney viral loads after mice infection.

o In figure 5H, the double mutant is as fit as the wt in the kidney. This is not reproduced in Figure 6

– Figure 6: Why did the authors perform IC inoculation rather than IV or inoculation in the hind footpad as before? Also, the authors show in several figures that the double mutant is an advantage, in cells already and here in mice brain. If such variants present increased neurovirulence, the authors should try to understand by what mechanism. Is binding to the receptor changed in the brain? Binding assay in brain tissues should be done in the same way as with kidney tissues.

Reviewer #2 (Recommendations for the Authors):

1. One overall concern I have is that in the first part of the introduction and the entire abstract, they make it sound as if they are studying JCPyV. These sections need to be rewritten because I think they are misleading. I don't think they need to be concerned that the relevance of their model is going to be questioned, at least not by this reviewer.

2. I found the middle of the last paragraph of the introduction to be another example of "exaggeration," particularly the sentence beginning "In this study…." I'm not sure Ab-deficient mice are really the equivalent of PML patients since the patients do produce antibodies against the virus. Again, I am not questioning their model but they should not oversell it.

3. What does "un-neutralized virus" on line 121 mean?

4. Do the authors have any sense of when during the persistent phase of the infection the mutations are arising? Is it before or after reactivation of all-out replication, for example?

5. The extensive analysis of the A2.D295N, A2.Δ297, and double mutant viruses is impressive. Given that the double mutant has enhanced replication properties, I am wondering whether they sequenced the entire genome to confirm nothing has happened in the non-coding control region or the early region. It is not clear from the methods. Another sequencing-related question relates to the paragraph on lines 214-221: how many clones did they analyze, in order to rule out the presence of the D295N/A mutations alone? Could there have been a low-frequency present that was missed (and that might only be detected by NGS)?

Reviewer #3 (Recommendations for the authors):

The narrative of this manuscript is difficult to follow although it contains much interesting biology. It begins by showing that T-cell control of JC polyomavirus in mice is important in the presence and absence of a B-cell response. Then, the authors show that the relevant T cells for viral control are CD4+, although controls for specific cell depletion are not provided. These data are presented in Figures 1, S.Figures 1, Figure 2, and one panel of Figure 3. The antibody-escape mutations in VP1 described in Figure 3 are very interesting and form the heart of this paper.

In Figure 5, four viruses are defined genetically and their properties compared in antibody-binding studies, antibody-neutralization studies, and in B-cell depleted mice. The viruses are A2 wild-type, Δ297, D295N, and double mutant. The authors show that the D295N virus (as does the Δ295 virus they have been studying up until this point) confers resistance to a particular neutralizing antibody. However, the Δ297 mutation is required to increase its fitness. Thus, Figure 5 is where all the pieces are together to ask about the properties of these viruses in the presence and absence of the neutralizing antibody and CD4+ T cells.

By stopping where they do in the narrative, the message of the manuscript is that compensatory mutations are often needed to increase the fitness of antibody- or drug-resistant mutations. This has been shown many times, but, as such, remains of interest to a specialized audience. ,

The writing is so confusing that suggestions, below, are to highlight the findings and make suggestions to increase their clarity and persuasiveness.

Figure 1: Shows that treatment with anti- depletion of CD4+ T cell antibody, but not anti-CD8+ T cell antibody or IgG control antibody, reduces control of the virus in mouse model that contains B cells.

1. The word 'resurgence' is not appropriate because data in Figure 2B do not show early viremia.

2. Fluorescent cytometry is needed to confirm T-cell depletion, especially in the case of CD8+ T cells.

Supplemental Figure 1: Throughout the manuscript, the term 'blind spot' is used. This colloquial language implies a structural mechanism of neutralization that is often the case but not always.

1. Instead, more precise evolutionary language (especially for a general audience such as that of eLife) such as "anti-VP1 treatment allows the selection of VP1-antibody resistant viruses.

2. The data themselves show convincingly that the anti-VP1 antibody specifically neutralizes wild-type virus but not the A2Δ295 virus. At this point in the manuscript, the A2D295 virus has not been mentioned so it is not clear why it is S.Figure 1.

3. In (E), the y-axis of 'neutralizing titer' is not clear. Is it 'extent depletion'? Is it the

required serum dilution?

Figure 2: (A) Shows a time course of viremia in B cell-deficient mice after treatment with IgG, anti-CD4+ , anti-CD8+, and a combination of anti-CD4+ and anti-CD8+ T cell antibodies. The finding that CD4+ , but not CD8+ T cells can control viremia in the absence of B cells is interesting but not pursued mechanistically.

1. Fluorescent cell quantitation is provided to ensure the depletion of the relevant T cell populations,

2. The data in (B) cannot be clearly deciphered and the x-axis should be expanded.

However, the remaining panels in B, dissect the data in the time course. As in Figure 1, these data show that there is little control of the virus in the mice treated with anti-CD8+ antibodies. The remaining panels show convincingly that the combination of anti-CD4+ and anti-CD8+ antibodies greatly reduce viral control in kidney, spleen, and brain.

Figure 3 is the strongest figure in the paper, showing that the sequences of viruses that grow upon anti-VP1 monoclonal antibody treatment of B-cell-deficient mice show a variety of sequence changes. Interestingly, a Δ295 and other amino acid 295 mutations are selected under all conditions and thus, as the authors conclude, confer resistance to the anti-VP1 antibody under all conditions. However, more mutations seem to be required in the absence of T cell depletion, and different spectra of mutations are found under each condition. Panel B shows the location in the VP1-antibody complex of several of the amino acids involved. Panel C shows a similar lack of neutralization for all selected viruses in cultured cells, and Panel D shows that there is different tropism and fitness for the various viruses in the kidney and spleen of infected B-cell-deficient mice in the presence of the anti-VP1 antibody.

1. It is not clear whether the mutations of interest have been installed in the otherwise wild-type virus free of other mutations that might have been selected; if it is not, this should be clearly stated.

Figure 4 shows an explicit challenge with the Δ295 virus, presumably specifically reconstructed so that only this mutation is present. Panel (B) shows viral growth following T cell depletion. The legend does not describe this but the text (line 152) that the mice used were B-cell deficient.

1. Therefore this experiment with the B-cell escape variant is the same experiment done with wild-type virus previously and thus does not enhance the findings of the paper at this point.

Figure 5 switches up the viruses under study. It shows a very good experiment in which the viruses have now clearly been reconstructed in isolation. A substitution at residue 295 (D295N), rather than the deletion that has been previously investigated, is reconstructed individually and together with a different single-amino acid deletion, Δ297, which was found in one of the natural isolates presented in Figure 3. They find (A) that only the Δ297 mutation confers neutralizing antibody resistance. This can be explained by the observed failure of either the Δ297 mutant virus or the double mutant virus to bind to the neutralizing antibody. In the other figures, the relative fitness of the wild-type A2, Δ297, D295N, and double mutant viruses were measured by somewhat indirect means such as fold increase over input and fixed time points at two different MOIs, rather than growth curves at a fixed MOI. However, the case is made convincingly that the double mutant virus grows better under all conditions in cultured cells. The authors show that these data can clearly be modified in animals, because, in the mouse kidney (H), a double mutant is present at equivalent abundance to wild-type.

1. In Panel I, the frequencies of the D295N/Δ297 double mutation in the original mice in which they were isolated, as well as a different combination of D295A/Δ297 from another mouse, are shown These data do not contribute mechanistically to Figure 5 and should be moved to Panel 3 where the mutations are first discussed. They do, however, provide a basis for discussion of the potential order of mutational events, which should be in the discussion.

Supplement to Figure 6 presents further exploration into the comparative phenotypes of the four viruses presented in Figure 5.

1. Could the authors discuss why the double-mutant virus generates the most virus but shows considerably less CPE than the D295N mutation?

Figure 6 shows pathogenesis experiments that compare wild-type and the D295N/Δ297 double mutant in B cell-deficient mice in the absence of T cell depletion. The double mutant shows similar viremia but increased growth in brain tissues. It is part of the interesting biology of this paper, that the mutations were isolated for their antibody-escape properties, but show differences in mice with no B cells. Thus, this provides the perfect jumping-off point to compare the properties of the viruses in the presence and absence of neutralizaing antiboy and T cells.

eLife. 2022 Nov 7;11:e83030. doi: 10.7554/eLife.83030.sa2

Author response


[Editors’ note: the authors resubmitted a revised version of the paper for consideration. What follows is the authors’ response to the first round of review.]

Comments concerning the presentation

1. An overall concern I have is that the first part of the introduction and the entire abstract sound as though JCPyV itself is under investigation. These possibly misleading sections need to be rewritten. There is no need to be concerned that the relevance of their model is going to be questioned.

The abstract has been modified and the introduction has been reworked to clarify that MuPyV is used for this study.

2. The relevance of these mutations relative to existing JC mutants is not made clear. In fact, two out of three reviewers missed the point that the mouse model involved a different virus from the human one. Clarified prose is needed.

We have extensively revised the abstract and added sections to the Introduction to clarify that this study exclusively uses MuPyV, an experimental setup necessitated by the fact the JCPyV only replicates in humans. Further discussion of the nature of the mutations found in this study in comparison to those found in PML patients has been added in the Discussion (Lines 401-407), which includes the following text “The mutant viruses we identified all carried at least one mutation in the HI loop, which is also the most common site of JCPyV VP1 mutations in PML patients (Gorelik et al., 2011; Reid et al., 2011). The epitope of the VP1 mAb has significant contribution from the HI loop and competes with a large portion of the endogenous antibody response generated by MuPyV-infected mice (Lauver et al., 2020). The dominant targets of antibodies in JCPyV-infected individuals have not been determined, but given the frequency of JCPyV mutations seen in the HI loop this region may be a common target of neutralizing Ab across species.”

3. It would be good to give some background on JCPyV receptor usage and also if the receptor(s) is (are) conserved between mouse and human and in the different tissues.

A paragraph on receptor usage by JCPyV and MuPyV has been added to the Introduction (Lines 78-84). We also included a discussion of the localization of JCPyV and MuPyV binding to the distal tubules in the kidney (Lines 308-312).

4. The last paragraph of the introduction somewhat exaggerates the findings, particularly the sentence beginning "In this study…." It is not clear that Ab-deficient mice are really the equivalent of PML patients since the patients DO produce antibodies against the virus. The model is not being questioned but it should not be oversold.

In retrospect, we can appreciate how this paragraph could lead to this misperception. There is evidence (Ray et al., 2015; discussed in Lines 72-74) that PML patients have select deficiencies in their JCPyV VP1 Ab repertoire for VP1 mutations, a situation implying that a narrow VP1 repertoire sets the stage for selecting outgrowth of such variant viruses. The last paragraph of the introduction has been rewritten to clarify the experimental setup – B cell-deficient mice given an MuPyV-specific monoclonal VP1 antibody – as a model to investigate if a monospecific VP1 response will drive selection of VP1 variants (Line 88-93).

Comments concerning the figures

Figure 1: Shows that treatment with anti CD4+ T cell antibody, but not anti-CD8+ T cell antibody or IgG control antibody, reduces control of the virus in a mouse model that contains B cells.

1. The tissue should be clearly indicated in the legend and ideally on the panel.

The tissue is now identified as kidney in both the legend and the figure.

2. The word 'resurgence' is not appropriate because the data in Figure 2B do not show early viremia.

We have removed this term throughout the manuscript and replaced it with “increased or elevated replication.”

3. The original comment from all three reviewers was that fluorescent cytometry is needed to confirm T-cell depletion, especially in the case of CD8+ T cells. However, it is stated somewhere that these are commercially obtained preparations. If this is the case and there is a validation of the depletions, that needs to be clearly stated. These controls are important, however they are obtained.

We apologize for not including this data in the original submission. Flow cytometry data confirming the depletions of CD4 and CD8 T cells in Figures 1, 2, and 4 have been added as Figure 1—figure supplement 3, Figure 2—figure supplement 1, and Figure 4—figure supplement 1.

Supplemental Figure 1: Throughout the manuscript, the term 'blind spot' is used. This colloquial language implies a structural mechanism of neutralization that is often the case but not always.

1. Instead, more precise evolutionary language (especially for a general audience such as that of eLife) such as "anti-VP1 treatment allows the selection of VP1-antibody resistant viruses.

The term “blind spot” was used repeatedly to describe the inability of sera IgG from PML patients to neutralize JCPyV VP1 mutant viruses (Ray et al., 2015). We can see the reviewer’s concern with this colloquialism, and have replaced with “an inability to neutralize.”

2. The data themselves show convincingly that the anti-VP1 antibody specifically neutralizes wild-type virus but not the A2Δ295 virus. At this point in the manuscript, the A2D295 virus has not been mentioned so it is not clear why it is S.Figure 1.

Further clarification has been added to the text (Lines 110-114) regarding the use of the A2.Δ295 virus, which we previously published (Lauver et al., 2020) as a mutant virus that is resistant to neutralization by the VP1 mAb used in this study.

3. In (E), the y-axis of 'neutralizing titer' is not clear. Is it 'extent depletion'? Is it the

required serum dilution?

The y-axis and legend for supplemental-figure 1E have been updated to indicate the neutralization titer is the Log10 IC50 of the neutralization curves in C and D.

Figure 2 shows convincingly that the combination of anti-CD4+ and anti-CD8+ antibodies greatly reduce viral control in kidney, spleen, and brain.

1. Fluorescent cell quantitation is not provided to ensure the depletion of the relevant T cell populations,

Flow cytometry data confirming T cell depletion has been added as Figure 2—figure supplement 1 (see response to comment #3 concerning the figures above).

2. The data in (B) cannot be clearly deciphered and the x-axis should be expanded.

However, the remaining panels in B, dissect the data in the time course. As in Figure 1, these data show that there is little control of the virus in the mice treated with anti-CD8+ antibodies.

The x-axis has been expanded for Figure 2B as requested to more clearly show the time course for detection of viremia in individual mice for each of the conditions depicted in the key to the far right of this panel. This is the raw data used to generate the middle panel showing virus levels at the peak of viremia in each mouse and the right panel collating the time course of viremia per treatment group. The interpretation of this data, as the reviewer correctly points out, is that CD4 T cells rather than CD8 T cells are primarily responsible for controlling MuPyV viremia.

Figure 3 is the strongest figure in the paper, showing that the sequences of viruses that grow upon anti-VP1 monoclonal antibody treatment of B-cell-deficient mice show a variety of sequence changes. Interestingly, a Δ295 and other amino acid 295 mutations are selected under all conditions and thus, as the authors conclude, confer resistance to the anti-VP1 antibody under all conditions. However, more mutations seem to be required in the absence of T cell depletion, and different spectra of mutations are found under each condition. Panel B shows the location in the VP1-antibody complex of several of the amino acids involved. Panel C shows a similar lack of neutralization for all selected viruses in cultured cells, and Panel D shows that there is different tropism and fitness for the various viruses in the kidney and spleen of infected B-cell-deficient mice in the presence of the anti-VP1 antibody.

1. It is not clear whether the mutations of interest have been installed in the otherwise wild-type virus free of other mutations that might have been selected; if it is not, this should be clearly stated.

Clarification has been added to the Results to indicate that all the mutant viruses used in this study were generated de novo by inserting the mutations identified in viremic mice into the WT MuPyV genome. In particular, the lines “To exclude possible effects of other mutations in the viral genome, we introduced several of these single and dual VP1 mutations into WT MuPyV using site-directed mutagenesis” and “We generated viruses individually carrying the D295N or Δ297 mutations in the WT A2 genome” have been added to the Results (Lines 156-158 and 189-190).

Figure 4 shows explicit challenges with the 295 virus.

1. This virus is, presumably, reconstructed so that only this mutation is present. If it is not, it should be, and several points brought up by one of the reviewers is then relevant. Specifically, "The extensive analysis of the A2.D295N, A2.Δ297, and double mutant viruses is impressive. Given that the double mutant has enhanced replication properties, was the entire genome sequenced to confirm nothing has happened in the non-coding control region or the early region. It is not clear from the methods. Another sequencing-related question relates to the paragraph on lines 214-221: how many clones did they analyze, in order to rule out the presence of the D295N/A mutations alone? Could there have been a low-frequency present that was missed (and that might only be detected by NGS)?"

All VP1 mutant viruses used in the study were constructed by inserting mutations in the VP1 gene found in viremic mice into a WT genome. As noted by this reviewer, this approach was essential to exclude the possibility that changes in the readout assays could be influenced by potential mutations in other parts of the genome, such as the non-coding control region. This has been clarified in the Results as “To exclude possible effects of other mutations in the viral genome, we introduced several of these single and dual VP1 mutations into WT MuPyV using site-directed mutagenesis” (Lines 156-158).

The text and legend for Figure 5I have been updated to include that 50 VP1 clones from each mouse were sequenced (Line 254). We added the sentence “Although more sensitive sequencing methods may detect VP1 sequences with D295N/A mutations without Δ297, the high frequency of the Δ297 mutation strongly suggests this was the initial mutation” (Lines 258-260) to acknowledge the possibility that single mutations at D295 could be detected with a more sensitive sequencing technique. However, we feel that the abundance of single Δ297 mutations in the absence of clones containing an isolated D295N/A mutation strongly supports the likelihood that this was the initial mutation.

2. The legend does not describe this but the text (line 152) states that the mice used were B-cell deficient. If that is the case, this experiment with the B-cell escape variant is the same experiment done with wild-type virus previously and thus does not enhance the findings of the paper at this point, unless this reviewer is missing the point. Perhaps it was performed in the B-cell-deficient mouse supplemented with the specific antibody?

We expanded the text to state that these are B cell-deficient mice given the VP1 mAb. Further justification for the experiment has been added to the Results, in particular the text “Mice were challenged i.v. with a lower titer inoculum of the A2.Δ295 mutant virus to mimic the development of viremia with an Ab escape mutant virus. This experimental setup allowed us to separate the function of T cells in preventing the generation of VP1 mutations from the ability of T cells to control the outgrowth of a VP1 mutant virus” (Lines 175-178).

3. Why are infections done in the hind footpad in the initial protocol and then by IV for the challenge or to test the fitness of the different mutants? The infection route should be clearly described and justified in the result section.

We have added an explanation to the Results why IV infection was used for the subsequent infections comparing the mutant viruses and for the challenge experiments. In the section detailing the comparison of mutant viruses, the text “The viruses were injected i.v. to examine tropism when virus is spreading in the blood, which is the condition under which these mutations were identified, and to avoid the possibility of the viruses having impaired spread from the site of s.c. inoculation” has been added (Lines 160-163). In the section containing the challenge experiment, the sentence “Mice were challenged i.v. with a lower titer inoculum of the A2.Δ295 mutant virus to mimic the development of viremia with an Ab escape mutant virus” has been added (Lines 175-176).

Figure 5 switches up the viruses under study. It shows a very good experiment in which the viruses have now clearly been reconstructed in isolation. However, several inconsistencies in the data likely make it necessary to repeat several aspects of these experiments.

1. 297, D295N, and double mutant viruses were measured by somewhat indirect means such as fold increase over input and fixed time points at two different MOIs, rather than growth curves at a fixed MOI so that any differences in total yield can be clearly assessed.

To address this concern, we expanded the time points in Figure 5F to show virus spread over time following a low MOI infection, where the double mutant virus was first detected two days before either single mutant virus and even the WT virus.

2. In Panel I, the frequencies of the D295N/Δ297 double mutation in the original mice in which they were isolated, as well as a different combination of D295A/297 from another mouse, are shown. These data do not contribute mechanistically to Figure 5 and should be moved to Panel 3 where the mutations are first discussed. They do, however, provide a basis for discussion of the potential order of mutational events, which should be in the discussion.

We appreciate the reviewer’s comment, however we feel that the results in Figure 5I are thematically distinct from the results in Figure 3. Figure 5I shows the order of the emergence of the double mutations, which logically follows once data showing differences in the functions of each of these mutations have been described in the preceding panels of Figure 5.

3. The double mutant virus seems fitter than the wt. However, the abundance of this variant is very low in Fig5I, how do the authors explain that?

We recognize that the low frequency of double mutant sequences in the samples seems to be at odds with the increased spread and replication observed in vivo. We have added further clarification to this section to address this in Lines 252-253 “Each of these mice rapidly became morbid after the detection of viremia necessitating their euthanasia within 30 days of the emergence of viremia” and Lines 251-252 “The rapid morbidity associated with the emergence of the mutation at D295 and subsequent viremia likely limited the accumulation of these double mutant viruses.”

4. Figure 5 D to F and Figure 5 sup 1 are showing very close assays. In addition, the results are not always consistent depending on the readout: in Figure 5 D to F D295N is consistently less fit than A2 while in the supplementary figure, in panel A it looks fitter. Is it a transfected virus in the sup panel A? Why is A2 del 297 not shown in figure 5 panel A? Again, in panel E of Figure 5, this variant is as fit as wt but not in the other assay.

We can now appreciate how the data in these figures would appear to be discrepant. This apparent difference is due to the timing of the assays. The assays in Figure 5D to F are short-term experiments, which demonstrate significant delays in virus production, infection, and spread by the D295N virus compared to WT virus. Figure 5-supplement 1 shows an image of a single plaque at 6 days post infection, at which point the D295N virus has been able to spread sufficiently to form plaques. The new time course data in Figure 5F shows that the D295N virus has significantly delayed ability to spread than WT virus, but does eventually spread.

5. Sensitivity to neuraminidase: based on Figure 5 G and 5 sup D, del295 seems insensitive to sialidase pre-treatment, then why in panels E and F of Figure 5 sup it is sensitive?

We now recognize that this was not fully explained in the text, and appreciate the reviewer pointing this out. Figure 5G and 5 Sup 1D show neuraminidase-insensitive binding by the D295N mutant. However, Figure 5 Sup 1E-F show that infection by the D295N mutant remains dependent on sialic acid, which indicates that the neuraminidase-insensitive binding is non-productive. Further discussion of the difference in neuraminidase sensitivity for binding vs infection by A2.D295N has been added, including “The dependence on sialic acid for infection, but not for binding, by A2.D295N indicates that by itself the D295N mutation mediates binding to a non-sialyated, non-productive receptor” (Lines 226-228).

6. With the way results are presented, it is not clear that panel H represents kidney viral loads after mice infection.

To further clarify that 5H is kidney viral loads, we added the sentence “We then assessed virus levels in the kidneys of mice infected i.v. with the mutant viruses” (Lines 239-240) to this part of the Results.

7. In figure 5H, the double mutant is as fit as the wt in the kidney. This is not reproduced in Figure 6.

Figure 5H shows similar levels of mRNA during acute (4 dpi) infection of the kidney, whereas Figure 6A-D shows pathology induced by chronic kidney infection. The similar levels of infection early but reduced infection/pathology during chronic infection by the double mutant suggest a defect in viral persistence within the kidney. The differences seen between acute and chronic kidney infection with the double mutant is now addressed in the Discussion, with “in vivo, the double mutant virus showed similar acute kidney infection to WT virus but decreased kidney infection/pathology during chronic infection (Figures 5H and 6A-D). This impairment of kidney pathology during chronic infection suggests a defect in persistence within the kidney by the D295N/Δ297 mutant virus” (Lines 385-389).

Figure 6.

1. Why did the authors perform IC inoculation rather than IV or inoculation in the hind footpad as before? There are likely reasons for this, but they need to be explained.

IC inoculation is the conventional injection route for inducing MuPyV brain infection, which is not seen with s.c. or i.v. routes of inoculation. The use of IC inoculation to investigate MuPyV brain infection is now explained in the Results. “we infected WT mice intracranially (i.c.), a route of inoculation which mediates efficient MuPyV infection of the brain (Lauver et al., 2020; Mockus et al., 2020)” (Lines 272274).

2. The authors show in several figures that the double mutant has an advantage in cells, and this is shown here in the mouse brain. If such variants present increased neurovirulence, the authors should try to understand by what mechanism. Is binding to the receptor changed in the brain? Binding assay in brain tissues should be done in the same way as with kidney tissues.

Understanding the mechanism responsible for the neurovirulence of the double mutant virus is of keen interest to us as well. To this end, we found that transfection of mutant viral DNA yielded increased virus production compared to WT DNA (Figure 5—figure supplement 1B). Although this does not rule out superior/altered virus binding by the mutant, it does show that the mutant virus more efficiently completes its replication cycle at a post entry step. We speculated in the Discussion about the mechanism by which these mutations may facilitate viral assembly; however, demonstrating this would require extensive structural analysis best done in a separate study. We have invested considerable effort to carry out virus binding assays on brain sections. However, this has turned out to be a technically difficult. While MuPyV stains kidney sections well, staining of brain tissue sections is weak and nonspecific. We have attempted to improve virus binding in brain section by antigen retrieval methods, but these have proven unsuccessful. We hope the reviewer understands our inability to compare binding by the viruses in the brain due to this technical impasse.

Supplement to Figure 6 presents further exploration into the comparative phenotypes of the four viruses presented in Figure 5.

The reviewer is correct to point out that the plaque size for the double mutant is smaller. We have added a new panel to this figure supplement quantifying plaque area. Given the data indicating the double mutant produces more virus, the difference in plaque area is most likely explained by the double mutant having an increased affinity for binding host cell receptors, limiting its spread. This phenotype has previously been observed with other MuPyV mutants possessing altered receptor binding (Bauer et al. 1999). This is now noted in the Results (Lines 199-201).

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Lukacher AE, Lauver M, Jin G, Ayers K, Carey S, Specht C, Abendroth C. 2022. T cell deficiency precipitates antibody evasion and emergence of neurovirulent polyomavirus. Dryad Digital Repository. [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 1—source data 1. Data for the graphs in the figure.
    Figure 1—figure supplement 1—source data 1. Data for the graphs in the figure.
    Figure 1—figure supplement 2—source data 1. Data for the graphs in the figure.
    Figure 1—figure supplement 3—source data 1. Data for the graphs in the figure.
    Figure 2—source data 1. Data for the graphs in the figure.
    Figure 2—figure supplement 1—source data 1. Data for the graphs in the figure.
    Figure 3—source data 1. Data for the graphs in the figure.
    Figure 4—source data 1. Data for the graphs in the figure.
    Figure 4—figure supplement 1—source data 1. Data for the graphs in the figure.
    Figure 5—source data 1. Data for the graphs in the figure.
    Figure 5—figure supplement 1—source data 1. Data for the graphs in the figure.
    Figure 6—source data 1. Data for the graphs in the figure.
    Supplementary file 1. VP1 mutations.

    Identity, location, and frequency of detected VP1 mutations. Superscripted numbers indicate the VP1 loop in which the mutations are located (1: BC, 2: DE, 3: EF, 4: HI). Deletions are indicated by a “Δ” followed by the deleted residues; the identity of the deleted amino acids is indicated in “()”. The duplication of a residue is indicated with “dup.” The presence of two mutations in a virus is indicated with “+”. Sets of mutations separated by “and” indicate that both of the listed mutant viruses were isolated from the same mouse.

    elife-83030-supp1.docx (17.8KB, docx)
    Supplementary file 2. Oligonucleotide sequences.

    Sequences of oligonucleotides used for site-directed mutagenesis, cloning, qPCR, and sequencing.

    elife-83030-supp2.docx (15.2KB, docx)
    Supplementary file 3. Statistical information.

    Statistical tests used and exact p values for the comparisons of data presented in each figure as indicated.

    elife-83030-supp3.docx (13.7KB, docx)
    MDAR checklist

    Data Availability Statement

    All data files are uploaded as source data files with this manuscript. Images are deposited with Dryad at https://doi.org/10.5061/dryad.prr4xgxqj.

    The following dataset was generated:

    Lukacher AE, Lauver M, Jin G, Ayers K, Carey S, Specht C, Abendroth C. 2022. T cell deficiency precipitates antibody evasion and emergence of neurovirulent polyomavirus. Dryad Digital Repository.


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES