102 research outputs found

    Study Participant Characteristics.

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    †<p>IQR = Interquartile Range.</p>††<p>ART = Antiretroviral Treatment.</p

    HIV-1 Gag CD8<sup>+</sup> T Cell Effector Capacity by ERK1/2 Signaling Ability.

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    †<p>IQR = Interquartile Range.</p>††<p>GMF = Geometric Mean Fluorescence Intensity.</p

    p-ERK1/2-refractory CD8<sup>+</sup> T cells are distinct from classical exhaustion, remain stable over time and predict HIV-1 viral load.

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    <p>(A–D) CD8<sup>+</sup> T cells following 20 minutes PMA+I<b>.</b> (A) Panels from left to right: ERK1/2 phosphorylation in total CD8<sup>+</sup> T cells. Gating for PD1 expression. Gating for p-ERK1/2-refractory versus responsive subsets within the PD1<sup>+</sup> compartment. (B) Frequency of p-ERK1/2-refractory cells within the PD1<sup>+</sup> compartment. (C) Panels from left to right: The ERK1/2 phosphorylation response in total CD8<sup>+</sup> T cells, Gating for Tim-3 expression in total CD8<sup>+</sup> T cells. Gating for Tim-3 expression in total CD8<sup>+</sup> T cells. (D) Frequency of p-ERK1/2-refractory cells contained within the Tim-3<sup>+</sup> compartment. (E–F) Smoothed moving average plots displaying the frequency of p-ERK1/2-refractory (E) and CD38<sup>+</sup>HLADR<sup>+</sup> (F) CD8<sup>+</sup> T cells from HIV-1-infected treatment-naïve adults followed longitudinally over the first 2.5 years of infection. (G) Lowess plots displaying average viral load over time in patients stratified by high or low p-ERK1/2-refractory measurement at study entry. Open squares with black line represents individuals with a first clinical visit % p-ERK1/2-refractory CD8<sup>+</sup> T cell measurement above the median frequency. Closed triangles with grey line represents individuals below the median frequency. Individuals with a high p-ER1/2-refractory measurement during early infection maintain significantly higher viral loads over time. (A,C n = 1; B n = 11; D, n = 20; E–F, n = 27 with 2–4 time points per individual, G, n = 74).</p

    p-ERK1/2-refractory CD8<sup>+</sup> T cells exhibit low per cell effector function in response to HIV-1 Gag stimulation.

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    <p>(A–E) Response of total CD8<sup>+</sup> T cells to 12 hours HIV-1 Gag peptides and 20 minutes PMA+I. (<b>A</b>) Gating for CD8<sup>+</sup> p-ERK1/2-refractory versus responsive T cell subsets. (B) Frequency of p-ERK1/2-refractory cells. (C) Gating for IFN-γ (dashed gate) and perforin expression (solid gate) within p-ERK1/2 subsets. (D) IFN-γ expression by ERK1/2 signaling response. Left graph displays frequency of IFN-γ<sup>+</sup> cells contained within the parent population. Right graph, the IFN-γ geometric mean fluorescence intensity (GMF) of IFN-γ<sup>+</sup> cells (E) Perforin expression by ERK1/2 signaling response. Left graph, frequency of perforin<sup>+</sup> cells. Right graph, perforin GMF of perforin<sup>+</sup> cells. (F–J) Response of highly activated (CD38<sup>+</sup>HLA-DR<sup>+</sup>) CD8<sup>+</sup> T cells. (F) Gating for p-ERK1/2-refractory versus responsive subsets. (G) Frequency of p-ERK1/2-refractory cells within the CD38<sup>+</sup>HLA-DR<sup>+</sup> compartment. (H) Gating for IFN-γ and perforin expression within activated p-ERK1/2 subsets. (I) IFN-γ expression by ERK1/2 signaling response: Left graph, frequency of IFN-γ<sup>+</sup> cells. Right graph, IFN-γ GMF of IFN-γ<sup>+</sup> cells. (J) Perforin expression by ERK1/2 signaling response. Left graph, frequency of perforin<sup>+</sup> cells. Right graph, perforin GMF in perforin<sup>+</sup> cells. (K–L) CD8<sup>+</sup> T cells, (K) Gating for IFN-γ<sup>+</sup>CD107α<sup>+</sup> expression and frequency of IFN-γ<sup>+</sup>CD107α<sup>+</sup> cells within p-ERK1/2 subsets. (M) CD107α expression within IFN-γ<sup>+</sup> cells by ERK1/2 signaling response: Left graph, frequency of CD107α<sup>+</sup> cells. Right graph, CD107α GMF of CD107α<sup>+</sup> cells. Significance Not Significant (NS) p>0.01, Marginal (M) p<0.01, *p<0.05, **p<0.005, ***p<0.0005. (A,C,F,H,K, n = 1; D,E,I,J, n = 30; L,M, n = 14).</p

    p-ERK1/2-Refractory CD8<sup>+</sup> T cells exhibit low per cell effector function in response to polyclonal stimulation.

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    <p>(A–E) Response of total CD8+ T cells to140 minutes PMA+I. (<b>A</b>) Gating for CD8<sup>+</sup> p-ERK1/2-refractory versus responsive T cell subsets. (B) Frequency of p-ERK1/2-refractory cells. (C) Gating for IFN-γ (dashed gates) and perforin (solid gates) expression within p-ERK1/2 subsets. (D) IFN-γ expression by ERK1/2 signaling response. Left graph displays frequency of IFN-γ<sup>+</sup> cells contained within the parent population. Right graph, the IFN-γ geometric mean fluorescence intensity (GMF) of IFN-γ<sup>+</sup> cells (E) Perforin expression by ERK1/2 signaling response. Left graph, frequency of perforin<sup>+</sup> cells. Right graph, perforin GMF of perforin<sup>+</sup> cells. (F–G) Response of highly activated (CD38+HLA-DR+) CD8+ T cells. (F) Gating for p-ERK1/2-refractory versus responsive subsets. (G) Frequency of p-ERK1/2-refractory cells within the CD38+HLA-DR+ compartment. (H) Gating for IFN-γ and perforin expression within activated p-ERK1/2 subsets. (I) IFN-γ expression by ERK1/2 signaling response: Left graph, frequency of IFN-γ<sup>+</sup> cells. Right graph, IFN-γ GMF of IFN-γ<sup>+</sup> cells. (J) Perforin expression by ERK1/2 signaling response. Left graph, frequency of perforin<sup>+</sup> cells. Right graph, perforin GMF in perforin<sup>+</sup> cells. Significance Not Significant (NS) p>0.01, Marginal (M) p<0.01, *p<0.05, **p<0.005, ***p<0.0005. (A,C,F,H, n = 1; D,E,I,J, n = 19).</p

    Comparison of measured urine biomarkers of HIV-infected participants on ART with and without albuminuria<sup>(</sup><sup>a</sup><sup>)</sup>.

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    <p>Comparison of measured urine biomarkers of HIV-infected participants on ART with and without albuminuria<sup>(</sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0153758#t004fn001" target="_blank"><sup>a</sup></a><sup>)</sup>.</p

    Comparison of immunological parameters of HIV-infected participants on ART with and without albuminuria<sup>(</sup><sup>a</sup><sup>)</sup>.

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    <p>Comparison of immunological parameters of HIV-infected participants on ART with and without albuminuria<sup>(</sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0153758#t002fn001" target="_blank"><sup>a</sup></a><sup>)</sup>.</p

    Multivariable linear regression analysis<sup>(<sup>a</sup>)</sup> of non-classical (CD14<sup>+/low</sup>CD16<sup>++</sup>) monocyte counts as a predictor of albuminuria in HIV-infected participants on ART while adjusting for risk factors (n = 96).

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    <p>Multivariable linear regression analysis<sup>(<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0153758#t003fn001" target="_blank">a</a></sup>)</sup> of non-classical (CD14<sup>+/low</sup>CD16<sup>++</sup>) monocyte counts as a predictor of albuminuria in HIV-infected participants on ART while adjusting for risk factors (n = 96).</p

    Comparison of demographic and clinical parameters of HIV-infected participants on ART with and without albuminuria<sup>(</sup><sup>a</sup><sup>)</sup>.

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    <p>Comparison of demographic and clinical parameters of HIV-infected participants on ART with and without albuminuria<sup>(</sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0153758#t001fn001" target="_blank"><sup>a</sup></a><sup>)</sup>.</p
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