1 1 Supplementary methods 2 3 Multivariate analysis 4 Multivariate analysis was used to compare the predictive strength of CD4+Glut1+ percentage with 5 established predictors of HIV disease progression. CD4 count, total CD4 percentage and viral load 6 were selected as the respective outcome variables and the different candidate immune activation 7 markers were included as the predictor variables. Significant markers in the univariable analyses 8 were entered in the multivariable model and the final model was derived through a process of 9 stepwise elimination. 10 11 Overexpression and detection of Glut1 on HEK293T cells 12 HEK293T cells were grown in RPMI 1640 medium, supplemented with 10% fetal calf serum (Gibco®), 13 2mM L-glutamine (Gibco®), 100 U/ml penicillin (Gibco®), and 100 μg/ml streptomycin (Gibco®). A 14 total of 5 x 104 cells were seeded per well in a 96-well plate and cultured for 24h. Cells were then 15 transfected using Lipofectamine 2000 (Invitrogen) with 0.25 µg of either pQCXIP-huGlut1 plasmid (A 16 kind gift from professor Steven M. Anderson, The Rockefeller University, USA) or empty vector 17 pQCXIP. At 48 h post-transfection, cells were harvested, washed twice in 1×PBS and stained with 18 FITC-labelled anti-Glut-1 antibody (R&D) for 30 min at 4°C. Cells were subsequently washed two 19 times with 1×PBS and analyzed by flow cytometry (BD FACSCanto™ Flow Cytometer). 20 21 Overexpression, Intracellular and cell surface detection of Glut1 in NIH3T3 22 The coding sequence of human Glut1 was restriction digested and purified from R&D System human 23 Glut1 cDNA (Cat #RDC0128) construct and sub cloned into our in-house retroviral construct pR-IRES- 24 eGFP [1]. NIH3T3 cells were transfected with 1.5 µg of either Glut1-pR-IRES-eGFP or vector-only 25 control using Life Technology's Lipofectamine 2000 (Cat #11668) as per manufacturer's 26 recommendation. 48 hours after transfection, cells were trypsinised and single cell suspensions were 27 made. Cells are permeabilised with BD's Cytofix/Cytoperm (Cat #554714) per manufacturer's 28 recommendations then stained with R&D system's anti-human Glut1 antibody (Cat #MAB1418, 29 clone 202915) at the recommended concentration of 2.5 µg per million cells. The primary antibody 30 was detected using BD goat polyclonal anti-mouse-IgG multiple absorption APC (Cat #550826). Data 31 was acquired on a BD LSRII flow cytometer. 32 33 34 2 35 Western blot analysis of Glut1 36 Protein was extracted from HEK293T cells transfected with either pQCXIP-huGlut1 or empty pQCXIP 37 vector. A total of 1 million cells were lysed in RIPA buffer supplemented with protease inhibitors. 38 Protein concentration in the cell lysates was determined by Bradford assay and a total of 30 µg of 39 proteins were run in a SDS-PAGE in Laemmli loading buffer as previously described [2]. Glut1 was 40 detected using Glut1c-term antibody (Abcam). 41 42 Supplementary figure legends 43 44 Figure S1. Glut1 mRNA expression is higher in CD4+ T cells from HIV+/naïve subjects. (A) Glut1 45 mRNA expression in HIV-, HIV+ and HIV+/cART subjects. (B) Spearman’s correlation between Glut1 46 mRNA expression in CD4+ T cells and the percentage of CD4+Glut1+ T cells. Red and blue dots 47 represent HIV+/naïve and HIV+/cART subjects, respectively. (C) Spearman’s correlation between the 48 number of years on cART and the percentage of CD4+Glut1+ T cells. The non-parametric Mann- 49 Whitney T test was used to evaluate significant differences between the median values of each 50 group. Horizontal bars represent median values. 51 52 Figure S2. The relationship between the percentage of CD4+ T cell subpopulations and the 53 percentage of CD4+Glut1+ T cells. (A) Percentage of CD4+ subpopulations in HIV- and HIV+/naïve 54 subjects. (B) The percentage of CD4 memory (M) T cells is inversely correlated with percentage of 55 CD4+Glut1+ cells. (C) The percentage of CD4 effector (E) and effector memory (EM) T cells is 56 correlated positively with the percentage of CD4+Glut1+ T cells. Spearman’s correlations were 57 conducted across the two subject groups. (D) Absolute CD4+Glut1+ T cell count in HIV+/naïve and 58 HIV+/cART subjects. The non-parametric Mann-Whitney T test was used to evaluate significant 59 differences between the median values of each group. Horizontal bars represent median values. 60 61 Figure S3. Reactivity of Glut1 antibodies on cells transfected with Glut1-containing lentiviral 62 vectors. (A) HEK293T cells transfected with pQCXIP–huGlut1 vector and stained with IgG2b-FITC 63 isotype (black line) or Glut1-FITC antibody (grey line). (B) HEK293T cells transfected with empty 64 (pQCXIP) vector and stained with IgG2b-FITC isotype (black line) or Glut1-FITC antibody (grey line). 65 (C) Western blot analysis of Glut1 using protein extracted from HEK293T cells transfected with 66 pQCXIP-huGlut1 (lane 1) or with empty (pQCXIP) vector (lane 2). Glut1 was detected using a Glut1c- 67 term antibody (Abcam). (D) Intracellular detection of Glut1 on NIH3T3 cells transfected with a 3 68 lentiviral vector expressing Glut1. Dual analysis of Glut1 and eGFP. (E) Histogram illustrating 69 fluorescent shift using R&D System Glut1-APC conjugated antibody in permeabilized cells 70 transfected with empty (vector only control) or huGlut1-expressing lentiviral vector. 71 72 Figure S4. Cell surface and intracellular expression of Glut1 on cell line. (A) SSC and FSC plot of 73 Jurkat cells. (B) Intracellular (left) and cell surface (right) expression on Glut1 on paraformaldehyde- 74 fixed Jurkat cells. (C) Co-expression of cell surface and c-terminal Glut1 in Jurkat cells. (D) SSC and 75 FSC plot of N2a cells. (E) Intracellular (left) and cell surface (right) expression on Glut1 in N2a cells. 76 (F) Co-expression of cell surface and c-terminal Glut1 in N2a cells. 77 78 Figure S5. Kinetics of expression of different activation markers on CD4+Glut1+ T cells. (A) The 79 percentage of CD4+Glut1+ T cells was assessed at the indicated times following activation of PBMCs 80 with anti-CD3/CD28 microbeads (1:1 cell: bead ratio). The data represent mean (SD) of results from 81 four HIV- subjects. (B) The percentage of CD4+Glut1+ T cells that expressed different activation 82 markers was assessed over time on activated PBMCs. The data represent mean (SD) of results from 83 four HIV- subjects. (C) Flow cytometric dot plot showing the co-expression of Glut1 with markers of T 84 cell activation on CD4+ T cells. 85 86 Figure S6. Relationship between percentage CD3+CD4+ T cells, CD4 T cell count and markers of 87 immune activation in HIV-infected subjects. (A) Comparative relationship between the percentage of 88 CD4+Glut1+ T cells and markers of CD8+ T cell activation, and the percentage of CD3+CD4+ T cells in 89 HIV+/naïve, and (B) HIV+/cART subjects. (C) Comparative relationship between the percentage of 90 CD4+Glut1+ T cells and markers of CD8+ T cell activation, and HIV viral load in HIV+/naïve subjects 91 92 Supplementary references 93 94 1. 95 directs T follicular helper cell lineage commitment. Immunity 2009; 31:457-468. 96 2. 97 immune responses in chronic hepatitis C virus infection. Hepatology 2008; 48:374-384. 98 99 Yu D, Rao S, Tsai LM, Lee SK, He Y, Sutcliffe EL, et al. The transcriptional repressor Bcl-6 Palmer C, Hampartzoumian T, Lloyd A, Zekry A. 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