The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=2h, 6h or 18h ["none" resting time not included]) conditions to select the best combination of these two parameters to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction.The optimum of the viability was predicted as P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + a*a*TP*TP + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the 3 first primary outcomes. And a and b are log-transformed parameters corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting TP*RT, TP*TP and RT*RT estimates expressed as log(hours^2). The optimum of this DOE is presented in outcome 4.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=2h, 6h or 18h ["none" resting time not included]) conditions to select the best combination of these two parameters to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction.The optimum of the viability was predicted as P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + a*a*TP*TP + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the 3 first primary outcomes. And a and b are log-transformed parameters corresponding respectively to the "TP" and the "RT" where the prediction has to be done. The optimum predicted mean cell viability of this Design of Experiment is presented in this outcome and expressed as percentage.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting the intercept i.e. expected mean value of Prediction when "TP" and "RT" = 0. The optimum of this Design of Experiment is presented in outcome 8.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting "TP" and "RT" estimates expressed as log(hours). The optimum of this Design of Experiment (DOE) is presented in outcome 8.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting TP*RT and RT*RT estimates expressed as log(hours^2). The optimum of this DOE is presented in outcome 8.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. The optimum predicted mean cell viability of this Design of Experiment is presented in this outcome and expressed as percentage.

Data were collected but could not be reported as data were below level of detection.

HIV-RT specific responses of CD8+ T cells expressing at least one cytokine, among: Interleukin-2 (IL-2), Interferon-gamma (IFN-g) and Tumor necrosis factor alpha (TNF-a),after stimulation with HIV-1 peptide pools for time-to-process (TP) (2, 7, 24 hours) and resting time (RT) (0,2,6,18 hours) post-overnight ICS and for time-to-process (7 hours) and resting time (18 hours) post 6 hours ICS.

Serious adverse events (SAEs) assessed include medical occurrences that result in death, are life threatening, require hospitali-zation or prolongation of hospitalization or result in disability/incapacity.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=2h, 6h or 18h ["none" resting time not included]) conditions to select the best combination of these two parameters to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction.The optimum of the viability was predicted as P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + a*a*TP*TP + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the 3 first primary outcomes. And a and b are log-transformed parameters corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting "TP" and "RT" estimates expressed as log(hours). The optimum of this Design of Experiment (DOE) is presented in outcome 4.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=2h, 6h or 18h ["none" resting time not included]) conditions to select the best combination of these two parameters to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction.The optimum of the viability was predicted as P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + a*a*TP*TP + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the 3 first primary outcomes. And a and b are log-transformed parameters corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting TP*RT, TP*TP and RT*RT estimates expressed as log(hours^2). The optimum of this DOE is presented in outcome 4.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=2h, 6h or 18h ["none" resting time not included]) conditions to select the best combination of these two parameters to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction.The optimum of the viability was predicted as P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + a*a*TP*TP + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the 3 first primary outcomes. And a and b are log-transformed parameters corresponding respectively to the "TP" and the "RT" where the prediction has to be done. The optimum predicted mean cell viability of this Design of Experiment is presented in this outcome and expressed as percentage.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting the intercept i.e. expected mean value of Prediction when "TP" and "RT" = 0. The optimum of this Design of Experiment is presented in outcome 8.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting "TP" and "RT" estimates expressed as log(hours). The optimum of this Design of Experiment (DOE) is presented in outcome 8.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. This outcome is presenting TP*RT and RT*RT estimates expressed as log(hours^2). The optimum of this DOE is presented in outcome 8.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The objective was to model lymphocyte viability according to "time-to-process" (TP=2h, 7h or 24h) and "resting time" (RT=0h) conditions in order to select the best combination of these two parameters with the aim to maximize the post-ICS viability in CMI samples collected from ART-naïve HIV-1-infected subjects. Viability (%) = 10 ^ P / (1 + 10 ^ P) * 100 with P for Prediction. The optimum of the viability was predicted as follows. P (LOGIT)= intercept + a*TP + b*RT + a*b*TP*RT + + b*b*RT*RT. Where "intercept", "TP", "RT", "TP*RT", "TP *TP", "RT*RT" are the parameters evaluated and presented in the primary outcomes 5, 6 and 7. And "a" and "b" are parameters (hour) corresponding respectively to the "TP" and the "RT" where the prediction has to be done. The optimum predicted mean cell viability of this Design of Experiment is presented in this outcome and expressed as percentage.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

The percentage of viable lymphocytes was determined by Forward Scatter/Side Scatter (FSC/SSC) and LIVE/DEAD gating during flow cytometry analysis for each incubation of time-to-time process (TP) = 2h, 7h and 24 h and resting time (RT) = 18h for the comparison of resting time = 18h and classic incubation time versus resting time = 18h and post-6h incubation time.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

Data were collected but could not be reported as data were below level of detection.

The analysis was to be performed on the According to Protocol (ATP) Sample Collection cohort. Data were collected but could not be reported as data were below the detection level.

HIV-RT specific responses of CD8+ T cells expressing at least one cytokine, among: Interleukin-2 (IL-2), Interferon-gamma (IFN-g) and Tumor necrosis factor alpha (TNF-a),after stimulation with HIV-1 peptide pools for time-to-process (TP) (2, 7, 24 hours) and resting time (RT) (0,2,6,18 hours) post-overnight ICS and for time-to-process (7 hours) and resting time (18 hours) post 6 hours ICS.

The analysis was performed on the According to Protocol (ATP) Sample Collection cohort, which included all subjects accepted into the analysis.

Serious adverse events (SAEs) assessed include medical occurrences that result in death, are life threatening, require hospitali-zation or prolongation of hospitalization or result in disability/incapacity.

The analysis was performed on the Total eligible cohort which included all subjects in the Total cohort (all enrolled subjects) who fulfilled eligibility criteria.