CoChat
Sign Up
Cited by 323HIV Research and TreatmentT-cell and B-cell ImmunologyCancer Immunotherapy and Biomarkers

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

TIGIT Marks Exhausted T Cells, Correlates with Disease Progression, and Serves as a Target for Immune Restoration in HIV and SIV Infection

Open access
Chew, Glen M., Fujita, Tsuyoshi, Webb, Gabriela M., Burwitz, Benjamin J., Wu, Helen L., Reed, Jason S., Hammond, Katherine B., Clayton, Kiera L., Ishii, Naoto, Abdel-Mohsen, Mohamed, Liegler, Teri, Mitchell, Brooks I., Hecht, Frederick M., Ostrowski, Mario, Shikuma, Cecilia M., Hansen, Scott G., Maurer, Mark, Korman, Alan J., Deeks, Steven G., Sacha, Jonah B., Ndhlovu, Lishomwa C.·2016·PLoS Pathogens
DOI 10.1371/journal.ppat.1005349PMC PMC4704737
Open this paper in CoChat — free accountOpen PDF

Abstract

HIV infection induces phenotypic and functional changes to CD8+ T cells defined by the coordinated upregulation of a series of negative checkpoint receptors that eventually result in T cell exhaustion and failure to control viral replication. We report that effector CD8+ T cells during HIV infection in blood and SIV infection in lymphoid tissue exhibit higher levels of the negative checkpoint receptor TIGIT. Increased frequencies of TIGIT+ and TIGIT+ PD-1+ CD8+ T cells correlated with parameters of HIV and SIV disease progression. TIGIT remained elevated despite viral suppression in those with either pharmacological antiretroviral control or immunologically in elite controllers. HIV and SIV-specific CD8+ T cells were dysfunctional and expressed high levels of TIGIT and PD-1. Ex-vivo single or combinational antibody blockade of TIGIT and/or PD-L1 restored viral-specific CD8+ T cell effector responses. The frequency of TIGIT+ CD4+ T cells correlated with the CD4+ T cell total HIV DNA. These findings identify TIGIT as a novel marker of dysfunctional HIV-specific T cells and suggest TIGIT along with other checkpoint receptors may be novel curative HIV targets to reverse T cell exhaustion.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.ppat.1005349

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig 1 Expression of TIGIT on T cells during HIV infection. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT expression. Representative flow cytometry flow plots showing TIGIT expression on (A) CD8+ or (B) CD4+ T cells compared to fluorescence minus one (FMO) control. Graphs show compiled data of TIGIT expression on (C) CD8+ and (D) CD4+ T cells stratified by disease: HIV-uninfected healthy donors (HD, X; n = 20), acute HIV-infection (AI, open diamond; n = 24), aviremic cART suppressed (AS, open triangles; n = 20), aviremic elite controllers (EC, open squares; n = 20), and chronic HIV viremic non-controllers (NC, open circles; n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test. Graphs show correlation of total chronic infected (+: AS, EC, and NC; left panel, n = 60) and non-controllers (right panel, n = 20) frequency (%) of (E) TIGIT+ CD8+ and (F) TIGIT+ CD4+ T cells against clinical CD4 Count (cells/mm3). Graphs show correlation of total chronic infected (+: AS, EC, and NC; left panel, n = 60) and elite controllers (right panel, n = 20) frequency (%) of (G) TIGIT+ CD8+ and (H) TIGIT+ CD4+ T cells against frequency (%) of T cell activation (CD38+HLA-DR+). Graphs show correlation of frequency (%) of (I) TIGIT+ CD8+ and (J) TIGIT+ CD4+ T cell among aviremic HIV infected “ART initiators” with known duration of long-term viral suppression from the SCOPE cohort (L-AS, n = 19, open inverted triangles) versus copies of CD4+ T cell associated HIV DNA per million CD4+ T cells (log10). Spearman’s rho tests were performed for correlations.
Fig 1 Expression of TIGIT on T cells during HIV infection. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT expression. Representative flow cytometry flow plots showing TIGIT expression on (A) CD8+ or (B) CD4+ T cells compared to fluorescence minus one (FMO) control. Graphs show compiled data of TIGIT expression on (C) CD8+ and (D) CD4+ T cells stratified by disease: HIV-uninfected healthy donors (HD, X; n = 20), acute HIV-infection (AI, open diamond; n = 24), aviremic cART suppressed (AS, open triangles; n = 20), aviremic elite controllers (EC, open squares; n = 20), and chronic HIV viremic non-controllers (NC, open circles; n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test. Graphs show correlation of total chronic infected (+: AS, EC, and NC; left panel, n = 60) and non-controllers (right panel, n = 20) frequency (%) of (E) TIGIT+ CD8+ and (F) TIGIT+ CD4+ T cells against clinical CD4 Count (cells/mm3). Graphs show correlation of total chronic infected (+: AS, EC, and NC; left panel, n = 60) and elite controllers (right panel, n = 20) frequency (%) of (G) TIGIT+ CD8+ and (H) TIGIT+ CD4+ T cells against frequency (%) of T cell activation (CD38+HLA-DR+). Graphs show correlation of frequency (%) of (I) TIGIT+ CD8+ and (J) TIGIT+ CD4+ T cell among aviremic HIV infected “ART initiators” with known duration of long-term viral suppression from the SCOPE cohort (L-AS, n = 19, open inverted triangles) versus copies of CD4+ T cell associated HIV DNA per million CD4+ T cells (log10). Spearman’s rho tests were performed for correlations.CC BY · PubMed Central
Fig 2 TIGIT expression on CD8+ terminal effector T cells and HIV-specific CD8+ T cells. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT expression on CD8+ T cell compartments. (A) Graph shows compiled frequency (%) of TIGIT+ CD8+ T cell expression in differentiated compartments stratified by disease status. HIV-uninfected healthy donors (HD, X; n = 20), acute infected (AI, open diamond; n = 24), cART suppressed (AS, open triangle; n = 20), elite controller (EC, open square; n = 20), non-controllers (NC, open circle; n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). PBMCs from HLA-A*02:01 or HLA-B*07:02 HIV chronically infected individuals were stained with matched HLA pentamers presenting HIV-1 and CMV epitopes and anti-TIGIT. (B) Representative flow cytometry plots of pentamer-specific CD8+ T cells using HLA-A*02:01 HIV-1 Gag SLYNTVATL (A2*SL9), HLA-A*02:01 HIV-1 Pol ILKEPVHGV (A2*IV9), HLA-B*07:02 HIV-1 Env IPRRIRQGL (B7*IL9), HLA-B*07:02 HIV-1 Nef TPGPGVRYPL (B7*TL10), and HLA-A*02:01 CMV pp65 NLVPMVATV (A2*NV9) (C) Compiled data of TIGIT expression frequency (%) on pentamer specific CD8+ T cells which was recalculated to 100% (left panel, n = 9) compiled data of TIGIT geometric mean fluorescence intensity (GMFI) on pentamer specific CD8+ T cells (right panel, n = 9).
Fig 2 TIGIT expression on CD8+ terminal effector T cells and HIV-specific CD8+ T cells. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT expression on CD8+ T cell compartments. (A) Graph shows compiled frequency (%) of TIGIT+ CD8+ T cell expression in differentiated compartments stratified by disease status. HIV-uninfected healthy donors (HD, X; n = 20), acute infected (AI, open diamond; n = 24), cART suppressed (AS, open triangle; n = 20), elite controller (EC, open square; n = 20), non-controllers (NC, open circle; n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). PBMCs from HLA-A*02:01 or HLA-B*07:02 HIV chronically infected individuals were stained with matched HLA pentamers presenting HIV-1 and CMV epitopes and anti-TIGIT. (B) Representative flow cytometry plots of pentamer-specific CD8+ T cells using HLA-A*02:01 HIV-1 Gag SLYNTVATL (A2*SL9), HLA-A*02:01 HIV-1 Pol ILKEPVHGV (A2*IV9), HLA-B*07:02 HIV-1 Env IPRRIRQGL (B7*IL9), HLA-B*07:02 HIV-1 Nef TPGPGVRYPL (B7*TL10), and HLA-A*02:01 CMV pp65 NLVPMVATV (A2*NV9) (C) Compiled data of TIGIT expression frequency (%) on pentamer specific CD8+ T cells which was recalculated to 100% (left panel, n = 9) compiled data of TIGIT geometric mean fluorescence intensity (GMFI) on pentamer specific CD8+ T cells (right panel, n = 9).CC BY · PubMed Central
Fig 3 HIV-Gag specific CD8+ T cells co-express TIGIT and PD-1 and exhibit a transitional memory phenotype. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT and PD-1 expression on CD8+ T cells. (A) Representative flow cytometry plots showing TIGIT and PD-1 expression on CD8+ T cells from one HIV-uninfected individual (left panel) and one HIV-infected individual (right panel). (B) Graph shows compiled frequency (%) of co-expressing TIGIT+PD-1+ CD8+ T cells from HIV-uninfected (HD, n = 20), chronic HIV-infected (AS, n = 20; EC, n = 20; NC, n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test. (C) Graph shows correlation of TIGIT+PD-1+ CD8+ T cells frequency (%) from chronic HIV-infected individuals against CD4 count (cells/mm3) or (D) viral load (copies/ml). Spearman’s rho tests were performed for correlations. TIGIT and PD-1 expression on HIV-1 Gag specific CD8+ T cells were evaluated. (E) Representative flow cytometry plot of HIV-specific CD8+ T cells using HLA-A*02:01 HIV-1 Gag SLYNTVATL. (F) Representative flow cytometry plots of TIGIT and PD-1 expression on HIV-1 Gag specific CD8+ T cells (Penta+, left panel; Penta-, right panel). (G) Graphs show compiled frequency (%) of TIGIT and PD-1 on Penta+ (left panel) and Penta- (right panel) (sample group contains; AS n = 11, EC n = 2, NC n = 2). P values were calculated using repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). Representative flow cytometry of (H) CD45RA and CCR7 or (I) histogram of CD27 (shaded isotype control) on Penta+ CD8+ T cells expressing TIGIT+PD1+, TIGIT+PD-1-, TIGIT-PD-1+, or TIGIT-PD-1-. (J) Graphs show compiled frequency (%) of CD45RA (top panel), CCR7 (mid panel), and CD27 (bottom panel) (n = 5).
Fig 3 HIV-Gag specific CD8+ T cells co-express TIGIT and PD-1 and exhibit a transitional memory phenotype. Cryopreserved PBMCs were thawed and surface phenotyped for TIGIT and PD-1 expression on CD8+ T cells. (A) Representative flow cytometry plots showing TIGIT and PD-1 expression on CD8+ T cells from one HIV-uninfected individual (left panel) and one HIV-infected individual (right panel). (B) Graph shows compiled frequency (%) of co-expressing TIGIT+PD-1+ CD8+ T cells from HIV-uninfected (HD, n = 20), chronic HIV-infected (AS, n = 20; EC, n = 20; NC, n = 20). P values were calculated using one-way ANOVA, followed by Tukey’s multiple comparisons test. (C) Graph shows correlation of TIGIT+PD-1+ CD8+ T cells frequency (%) from chronic HIV-infected individuals against CD4 count (cells/mm3) or (D) viral load (copies/ml). Spearman’s rho tests were performed for correlations. TIGIT and PD-1 expression on HIV-1 Gag specific CD8+ T cells were evaluated. (E) Representative flow cytometry plot of HIV-specific CD8+ T cells using HLA-A*02:01 HIV-1 Gag SLYNTVATL. (F) Representative flow cytometry plots of TIGIT and PD-1 expression on HIV-1 Gag specific CD8+ T cells (Penta+, left panel; Penta-, right panel). (G) Graphs show compiled frequency (%) of TIGIT and PD-1 on Penta+ (left panel) and Penta- (right panel) (sample group contains; AS n = 11, EC n = 2, NC n = 2). P values were calculated using repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). Representative flow cytometry of (H) CD45RA and CCR7 or (I) histogram of CD27 (shaded isotype control) on Penta+ CD8+ T cells expressing TIGIT+PD1+, TIGIT+PD-1-, TIGIT-PD-1+, or TIGIT-PD-1-. (J) Graphs show compiled frequency (%) of CD45RA (top panel), CCR7 (mid panel), and CD27 (bottom panel) (n = 5).CC BY · PubMed Central
Fig 4 TIGIT expressing CD8+ T cells have impaired cytokine responses. Representative flow cytometry plots gated on CD8+ T cells showing (A) TIGIT or (C) PD-1 expression against Ki-67 from a chronically HIV-infected individual. Compiled data of Ki-67+ CD8+ T cell frequency (%) separated into (B) TIGIT+ and TIGIT- or (D) PD-1+ and PD-1- (n = 20). P values were calculated by Wilcoxon matched-pairs signed ranked test. Ex vivo PBMCs from chronically HIV-infected individuals were stimulated with HIV Gag peptide pool and assessed for cytokine production. (E) Representative flow cytometry plots gated on CD8+ T cells showing TIGIT expression and either IFN-γ, IL-2, or TNF-α content after no stimulation, stimulation with an HIV-1 Gag peptide pool, or a positive control stimulation with anti-CD3 + anti-CD28 Dynabeads. (F) Compiled data of IFN-γ, IL-2, or TNF-α CD8+ T cell frequency (%) from TIGIT+ or TIGIT- CD8+ T cell compartments after HIV-1 Gag peptide pool stimulation (sample group includes; AS n = 4, EC n = 3, NC n = 3). P values were calculated by Wilcoxon matched-pairs signed ranked test. (G) Compiled data of TIGIT and PD-1 expression on HIV-1 Gag responding cells (sample group includes; AS n = 4, EC n = 3, NC n = 3). P values were calculated with repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). (H) Representative flow cytometry plots of intracellular perforin and granzyme B from CD8+ T cells expressing or not expressing TIGIT. (I) Compiled frequency (%) of intracellular perforin+granzyme B+ content from TIGIT+ or TIGIT- CD8+ T cell compartments (AS; n = 12). P values were calculated by Wilcoxon matched-pairs signed ranked test. (J) Representative flow cytometry plots gated on CD8+ T cells showing TIGIT and CD107a expression from TIGIT isotype control, no stimulation, HIV-1 Gag peptide pool, positive control stimulation with anti-CD3 + anti-CD28 Dynabeads. Compiled data of background corrected CD107a after (K) HIV-1 Gag peptide pool (L) anti-CD3 + anti-CD28 Dynabead stimulation in TIGIT+ or TIGIT- CD8+ T cell compartments (AS; n = 10). P values were calculated by Wilcoxon matched-pairs signed ranked test.
Fig 4 TIGIT expressing CD8+ T cells have impaired cytokine responses. Representative flow cytometry plots gated on CD8+ T cells showing (A) TIGIT or (C) PD-1 expression against Ki-67 from a chronically HIV-infected individual. Compiled data of Ki-67+ CD8+ T cell frequency (%) separated into (B) TIGIT+ and TIGIT- or (D) PD-1+ and PD-1- (n = 20). P values were calculated by Wilcoxon matched-pairs signed ranked test. Ex vivo PBMCs from chronically HIV-infected individuals were stimulated with HIV Gag peptide pool and assessed for cytokine production. (E) Representative flow cytometry plots gated on CD8+ T cells showing TIGIT expression and either IFN-γ, IL-2, or TNF-α content after no stimulation, stimulation with an HIV-1 Gag peptide pool, or a positive control stimulation with anti-CD3 + anti-CD28 Dynabeads. (F) Compiled data of IFN-γ, IL-2, or TNF-α CD8+ T cell frequency (%) from TIGIT+ or TIGIT- CD8+ T cell compartments after HIV-1 Gag peptide pool stimulation (sample group includes; AS n = 4, EC n = 3, NC n = 3). P values were calculated by Wilcoxon matched-pairs signed ranked test. (G) Compiled data of TIGIT and PD-1 expression on HIV-1 Gag responding cells (sample group includes; AS n = 4, EC n = 3, NC n = 3). P values were calculated with repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test (*p < 0.05; **p < 0.01; ***p < 0.001). (H) Representative flow cytometry plots of intracellular perforin and granzyme B from CD8+ T cells expressing or not expressing TIGIT. (I) Compiled frequency (%) of intracellular perforin+granzyme B+ content from TIGIT+ or TIGIT- CD8+ T cell compartments (AS; n = 12). P values were calculated by Wilcoxon matched-pairs signed ranked test. (J) Representative flow cytometry plots gated on CD8+ T cells showing TIGIT and CD107a expression from TIGIT isotype control, no stimulation, HIV-1 Gag peptide pool, positive control stimulation with anti-CD3 + anti-CD28 Dynabeads. Compiled data of background corrected CD107a after (K) HIV-1 Gag peptide pool (L) anti-CD3 + anti-CD28 Dynabead stimulation in TIGIT+ or TIGIT- CD8+ T cell compartments (AS; n = 10). P values were calculated by Wilcoxon matched-pairs signed ranked test.CC BY · PubMed Central
Fig 5 Common γ-chain cytokines regulate TIGIT expression on CD8+ T cells. Ex vivo PBMCs from chronically HIV-1 infected individuals were stimulated with HIV-1 Gag peptide pool for 12 hours. (A) Representative flow cytometry plot gated on CD8+ T cells showing HIV-1 Gag pentamer with no stimulation (top panel) or HIV-1 Gag stimulation (bottom panel). (B) Representative flow cytometry plot of TIGIT expression on Penta+ and Penta- cells with no stimulation or HIV-1 Gag stimulation. (C) Graph shows compiled frequency (%) of TIGIT on Penta+ cells with no stimulation and HIV-1 Gag stimulation (n = 9). P values calculated with Wilcoxon matched-pairs signed-rank test. (D) Representative flow cytometry histograms gated on CD8+ T cells overlaid with TIGIT expression frequency before and after cytokine stimulation. Dashed line indicates TIGIT isotype control, shaded histogram indicates TIGIT expression with no stimulation, and the solid line indicates TIGIT expression with cytokine stimulation after six days. Compiled data of TIGIT frequency (%) on CD8+ T cells (E) HIV-Infected participant (open circle; n = 8) (F) HIV-Uninfected participant (X; n = 5). P values were calculated with repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test.
Fig 5 Common γ-chain cytokines regulate TIGIT expression on CD8+ T cells. Ex vivo PBMCs from chronically HIV-1 infected individuals were stimulated with HIV-1 Gag peptide pool for 12 hours. (A) Representative flow cytometry plot gated on CD8+ T cells showing HIV-1 Gag pentamer with no stimulation (top panel) or HIV-1 Gag stimulation (bottom panel). (B) Representative flow cytometry plot of TIGIT expression on Penta+ and Penta- cells with no stimulation or HIV-1 Gag stimulation. (C) Graph shows compiled frequency (%) of TIGIT on Penta+ cells with no stimulation and HIV-1 Gag stimulation (n = 9). P values calculated with Wilcoxon matched-pairs signed-rank test. (D) Representative flow cytometry histograms gated on CD8+ T cells overlaid with TIGIT expression frequency before and after cytokine stimulation. Dashed line indicates TIGIT isotype control, shaded histogram indicates TIGIT expression with no stimulation, and the solid line indicates TIGIT expression with cytokine stimulation after six days. Compiled data of TIGIT frequency (%) on CD8+ T cells (E) HIV-Infected participant (open circle; n = 8) (F) HIV-Uninfected participant (X; n = 5). P values were calculated with repeated-measures one-way ANOVA, followed by Tukey’s multiple comparisons test.CC BY · PubMed Central
Fig 6 Effect of in vitro blockade with anti-TIGIT/anti-PD-L1 mAbs on HIV-specific CD8+ T cell responses. Ex vivo PBMCs from chronically HIV-infected individuals were stimulated with HIV Gag peptide pool in the presence of mAb blocking antibodies. (A) Representative flow cytometry plots gated on CD8+ T cells, showing IFN-γ responses from an HIV-infected individual. No HIV-1 Gag stimulation with an isotype control, HIV-1 Gag stimulation with an isotype control, HIV-1 Gag stimulation with anti-TIGIT, HIV-1 Gag stimulation with anti-PD-L1, HIV-1 Gag stimulation with dual blockade (anti-TIGIT + anti-PD-L1) and a positive control (anti-CD3 + anti-CD28 Dynabeads). (B) Compiled data showing variation in the frequency (%) of IFN-γ in responses to HIV-1 Gag peptide pool with isotype control or mAb blockade; TIGIT blockade (left panel), PD-L1 blockade (middle panel), and dual blockade (right panel) (n = 25). P values were calculated by Wilcoxon matched-pairs signed ranked test. (C) Representative flow cytometry plots gated on CD8+ T cells from HIV-infected individuals, showing intermediate and high CFSE dilution in response to HIV-1 Gag peptide pool stimulation in the presence of either an isotype control, anti-TIGIT mAb, anti-PD-L1 mAb, a combination of both anti-TIGIT and anti-PD-L1 mAbs or anti-CD3 + anti-CD28 Dynabeads as a positive control. (D) Graphs show compiled data showing variation in the frequency (%) of CFSEdim in responses to HIV-1 Gag peptide pool with either an isotype control or mAb blockade; TIGIT blockade (left panel), PD-L1 blockade (middle panel), and dual blockade (right panel) (n = 24). P values were calculated by Wilcoxon matched-pairs signed ranked test.
Fig 6 Effect of in vitro blockade with anti-TIGIT/anti-PD-L1 mAbs on HIV-specific CD8+ T cell responses. Ex vivo PBMCs from chronically HIV-infected individuals were stimulated with HIV Gag peptide pool in the presence of mAb blocking antibodies. (A) Representative flow cytometry plots gated on CD8+ T cells, showing IFN-γ responses from an HIV-infected individual. No HIV-1 Gag stimulation with an isotype control, HIV-1 Gag stimulation with an isotype control, HIV-1 Gag stimulation with anti-TIGIT, HIV-1 Gag stimulation with anti-PD-L1, HIV-1 Gag stimulation with dual blockade (anti-TIGIT + anti-PD-L1) and a positive control (anti-CD3 + anti-CD28 Dynabeads). (B) Compiled data showing variation in the frequency (%) of IFN-γ in responses to HIV-1 Gag peptide pool with isotype control or mAb blockade; TIGIT blockade (left panel), PD-L1 blockade (middle panel), and dual blockade (right panel) (n = 25). P values were calculated by Wilcoxon matched-pairs signed ranked test. (C) Representative flow cytometry plots gated on CD8+ T cells from HIV-infected individuals, showing intermediate and high CFSE dilution in response to HIV-1 Gag peptide pool stimulation in the presence of either an isotype control, anti-TIGIT mAb, anti-PD-L1 mAb, a combination of both anti-TIGIT and anti-PD-L1 mAbs or anti-CD3 + anti-CD28 Dynabeads as a positive control. (D) Graphs show compiled data showing variation in the frequency (%) of CFSEdim in responses to HIV-1 Gag peptide pool with either an isotype control or mAb blockade; TIGIT blockade (left panel), PD-L1 blockade (middle panel), and dual blockade (right panel) (n = 24). P values were calculated by Wilcoxon matched-pairs signed ranked test.CC BY · PubMed Central
Fig 7 Phenotypic and functional assessment of rhTIGIT expression on CD8+ T cells. Cryopreserved rhesus macaque PBMCs were thawed, phenotyped and assessed for function. (A) Graphs show frequency (%) of rhTIGIT+CD8+ T cells from PBMCs (circle), LNs (square), and spleen (triangle) in SIV-uninfected (filled) and SIV-infected (open) animals (SIV-uninfected PBMCs, n = 8; SIV-infected PBMCs, n = 19; SIV-uninfected LNs, n = 8; SIV-infected LNs, n = 22; SIV-uninfected spleen, n = 6; SIV infected spleen, n = 9). P values were calculated with Mann-Whitney U tests. (B) Graphs show correlation of frequency (%) of rhTIGIT+ CD8+ T cells in PBMCs (circle) and lymph nodes (square) from SIV-infected animal against plasma SIV viral load log10 vRNA copy Eq/ml (PBMCs, n = 12; LNs, n = 20). vRNA copy Eq, viral RNA copy equivalents. Spearman’s rho tests were performed for correlations. (C) Representative flow cytometry plots of tetramer stains for Mamu-A*01 restricted SIV-Gag CM9 and SIV-Tat SL8 specific CD8+ T cells from PBMC, LNs, and spleen, in a representative Mamu-A*01 animal with full cART suppression. Compiled data of rhTIGIT expression frequency (%) on tetramer specific CD8+ T cells (n = 4) from PBMCs (circle), LNs (square), and spleen (triangle) from Mamu-A*01+ macaques with full cART suppression. (D) Representative flow cytometry plots of PBMCs (n = 12) or lymph nodes (n = 18) stimulated without or with PMA + Ionomycin. Graphs show frequency (%) of IFN-γ from CD8+ T cells expressing TIGIT or not expressing TIGIT. P values were calculated by Wilcoxon matched-pairs signed ranked test. (E) Representative flow cytometry plots of PBMCs from a Mamu-A*01+ macaque stimulated without or with SIV-Gag181-189 CM9 peptide. Graph shows frequency (%) of IFN-γ from SIV-Gag181-189 CM9-specific CD8+ T cells expressing TIGIT or not expressing TIGIT from Mamu-A*01+ macaques (n = 6). P values were calculated by Wilcoxon matched-pairs signed ranked test. (F) Representative flow cytometry plots of CD8+ T cells from two separate SIV-infected macaques showing CD8+ T cell CFSE dilution in response to AT2-inactivated SIV with either no antibody, anti-TIGIT, anti-PD-L1 or dual blockade (anti-TIGIT + anti-PD-L1). (G) Graphs show compiled data of CD8+ T cell CFSE dilution from PBMC (left panel), Lymph node (middle panel), or Spleen (right panel) as percent of max (n = 4). P values were calculated by Wilcoxon matched-pairs signed ranked test.
Fig 7 Phenotypic and functional assessment of rhTIGIT expression on CD8+ T cells. Cryopreserved rhesus macaque PBMCs were thawed, phenotyped and assessed for function. (A) Graphs show frequency (%) of rhTIGIT+CD8+ T cells from PBMCs (circle), LNs (square), and spleen (triangle) in SIV-uninfected (filled) and SIV-infected (open) animals (SIV-uninfected PBMCs, n = 8; SIV-infected PBMCs, n = 19; SIV-uninfected LNs, n = 8; SIV-infected LNs, n = 22; SIV-uninfected spleen, n = 6; SIV infected spleen, n = 9). P values were calculated with Mann-Whitney U tests. (B) Graphs show correlation of frequency (%) of rhTIGIT+ CD8+ T cells in PBMCs (circle) and lymph nodes (square) from SIV-infected animal against plasma SIV viral load log10 vRNA copy Eq/ml (PBMCs, n = 12; LNs, n = 20). vRNA copy Eq, viral RNA copy equivalents. Spearman’s rho tests were performed for correlations. (C) Representative flow cytometry plots of tetramer stains for Mamu-A*01 restricted SIV-Gag CM9 and SIV-Tat SL8 specific CD8+ T cells from PBMC, LNs, and spleen, in a representative Mamu-A*01 animal with full cART suppression. Compiled data of rhTIGIT expression frequency (%) on tetramer specific CD8+ T cells (n = 4) from PBMCs (circle), LNs (square), and spleen (triangle) from Mamu-A*01+ macaques with full cART suppression. (D) Representative flow cytometry plots of PBMCs (n = 12) or lymph nodes (n = 18) stimulated without or with PMA + Ionomycin. Graphs show frequency (%) of IFN-γ from CD8+ T cells expressing TIGIT or not expressing TIGIT. P values were calculated by Wilcoxon matched-pairs signed ranked test. (E) Representative flow cytometry plots of PBMCs from a Mamu-A*01+ macaque stimulated without or with SIV-Gag181-189 CM9 peptide. Graph shows frequency (%) of IFN-γ from SIV-Gag181-189 CM9-specific CD8+ T cells expressing TIGIT or not expressing TIGIT from Mamu-A*01+ macaques (n = 6). P values were calculated by Wilcoxon matched-pairs signed ranked test. (F) Representative flow cytometry plots of CD8+ T cells from two separate SIV-infected macaques showing CD8+ T cell CFSE dilution in response to AT2-inactivated SIV with either no antibody, anti-TIGIT, anti-PD-L1 or dual blockade (anti-TIGIT + anti-PD-L1). (G) Graphs show compiled data of CD8+ T cell CFSE dilution from PBMC (left panel), Lymph node (middle panel), or Spleen (right panel) as percent of max (n = 4). P values were calculated by Wilcoxon matched-pairs signed ranked test.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

Sorted by citations

See all 323

Related

See all

Metadata

Authors
Chew, G. M., Fujita, T., Webb, G. M., Burwitz, B. J., Wu, H. L., Reed, J. S., Hammond, K. B., Clayton, K. L., Ishii, N., Abdel-Mohsen, M., Liegler, T., Mitchell, B. I., Hecht, F. M., Ostrowski, M., Shikuma, C. M., Hansen, S. G., Maurer, M., Korman, A. J., Deeks, S. G., Sacha, J. B., & Ndhlovu, L. C.
Affiliations
  • University of Hawaiʻi at Mānoa (US)
  • Oregon National Primate Research Center (US)
  • University of Toronto (CA)
  • Tohoku University (JP)
  • San Francisco General Hospital (US)
  • Bristol-Myers Squibb (United States) (US)
Corresponding author
Ndhlovu, Lishomwa C.
ORCID
Venue
PLoS Pathogens
Publisher
Public Library of Science (PLoS)
Published
2016-01-07
Volume
12
Issue
1
Pages
e1005349
ISSN
  • 1553-7366 (ISSN-L)
  • 1553-7374
DOI
10.1371/journal.ppat.1005349
PMC
PMC4704737
OpenAlex
W2225639217
Cited by
323
References
63
Citations by year
2026: 10 · 2025: 25 · 2024: 30 · 2023: 33 · 2022: 33 · 2021: 47 · 2020: 44 · 2019: 36 · 2018: 32 · 2017: 18 · 2016: 12
FWCI
22.59
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS Pathogens (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
  • Bristol-Myers Squibb
  • Oregon Health and Science University (OD011092)
  • International AIDS Society
  • National Institutes of Health (n01ai085341-004, OD-011092, RR024131, AI027763, NOI-AI-85341, P51OD011092)
  • University of California, San Francisco (P30AI027763, UL1RR024131)
  • Japan Society for the Promotion of Science (15H04742)
  • National Institute of General Medical Sciences (P30GM103341)
  • National Institute of Allergy and Infectious Diseases (N01 AI085341, K24AI069994, OD011092, RO1 AI087145, AI027763, RR024131, AI067039, AI069994, AI087145, NOI-AI-85341, HIV-1, R01AI087145, N0I-AI-85341, R24AI067039, P30AI027763)
  • National Center for Research Resources (UL1RR024131, RR 024131)
  • Office of AIDS Research
  • National Institute on Minority Health and Health Disparities (U54MD007584)
Topics
  • Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
Keywords
TIGIT, T cell exhaustion, HIV infection, SIV infection, CD8+ T cells, PD-1, PD-L1, immune checkpoint receptors, disease progression, elite controllers, viral suppression, T cell dysfunction, immune restoration, antibody blocking
MeSH terms
Animals, Cell Separation, DNA, Viral, Flow Cytometry, Humans, Lymphocyte Activation, Macaca mulatta, Receptors, Immunologic, RNA, Viral, CD4-Positive T-Lymphocytes, HIV Infections, Simian Acquired Immunodeficiency Syndrome, CD8-Positive T-Lymphocytes, Disease Progression, B7-H1 Antigen

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review