The purpose of this study is to investigate a combined set of parameters deemed to impact the quality of CMI analyses in terms of the proportion of viable lymphocytes in antiretroviral therapy-naïve HIV-1 infected subjects.
This study will address the respective and combined impact of (i) timing between blood collection and peripheral blood mononuclear cells (PBMC) processing \["time-to-process"\] and (ii) timing of PBMC resting before stimulation \["resting -time"\].
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
22
Blood samples will be collected in all subjects at two time points, at the Screening Visit (Day 0) and at the Sample Collection Visit (Day 15)
GSK Investigational Site
Ghent, Belgium
Lymphocytes Viability Prediction (LOGIT Transformed) in CMI Samples Post-overnight Incubation Time Before Intracellular Cytokine Staining (ICS): "Intercept" Parameter Estimate of the Prediction Model - Condition "None" Resting Time Not Included
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 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 4.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (LOGIT Transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: Time to Process and Resting Time Parameter Estimates of the Prediction Model - Condition "None" Resting Time Not Included
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.
Time frame: At Day 15 (sample collection visit)
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Lymphocytes Viability Prediction (LOGIT Transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: TP*RT, TP*TP and RT*RT Parameter Estimates of the Prediction Model - Condition "None" Resting Time Not Included
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.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (LOGIT Transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: Optimum Mean Cell Viability Estimate by the Prediction Model - Condition "None" Resting Time Not Included
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.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (Non-transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: "Intercept" Parameter Estimate of the Prediction Model - Condition "None" Resting Time Included
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.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (Non-transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: Time to Process and Resting Time Parameter Estimates of the Prediction Model - Condition "None" Resting Time Included
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.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (Non-transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: TP*RT and RT*RT Parameter Estimates of the Prediction Model - Condition "None" Resting Time Included
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.
Time frame: At Day 15 (sample collection visit)
Lymphocytes Viability Prediction (Non-transformed Estimate) in CMI Samples Post-overnight Incubation Time Before ICS: Optimum Mean Cell Viability Estimates by the Prediction Model -Condition "None" Resting Time Included.
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.
Time frame: At Day 15 (sample collection visit)
Percentage of Viable Lymphocytes in the CMI Samples, Post-overnight Incubation (Classic) Before ICS and Post-6 Hour Incubation Before ICS
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.
Time frame: A Day 15 (sample collection visit)
Magnitude of HIV-1 RT Specific Cluster of Differentiation 40 Ligand (CD40L+) CD4+ T Cell Responses in the CMI Samples Post-overnight ICS/Post 6 Hour ICS, Expressing at Least One Cytokine
Data were collected but could not be reported as data were below level of detection.
Time frame: At Day 15 (sample collection visit)
Magnitude of HIV-RT Specific (Background Reduced) CD8+ T Cell Responses in the CMI Samples Post-overnight ICS/Post 6 Hour ICS, Expressing at Least One Cytokine
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.
Time frame: At Day 15 (sample collection visit)
Number of Subjects With Serious Adverse Events (SAEs)
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.
Time frame: During the whole study period (From Day 0 to Day 15)