Health
Safety and immunogenicity of a thermostable ID93 + GLA-SE tuberculosis vaccine candidate in healthy adults
Study design and participants
This study was a Phase 1, randomized, double-blind clinical trial designed to evaluate the safety, tolerability, and immunogenicity of thermostable single-vial lyophilized ID93 + GLA-SE compared to the non-thermostable two-vial presentation consisting of lyophilized ID93 and liquid GLA-SE administered as two IM injections in healthy adult participants. The study was performed under an investigational new drug (IND) with the US Food and Drug Administration (FDA), and the protocol, informed consent form, and other study materials were approved by the Saint Louis University Institutional Review Board. The clinical trial is registered at ClinicalTrials.gov under Identifier NCT03722472.
The study was conducted at a single site (Saint Louis University Center for Vaccine Development in St. Louis, MO) and recruited participants from St. Louis, Missouri, and the surrounding area. A total of 48 male and female participants aged 18 to 55 years and in general good health were enrolled, as planned per Study Protocol (Supplementary Information). Participants were counseled on the study and underwent the informed consent process. The screening included an evaluation of medical history, medication history, a physical examination, safety laboratory tests, and urinalysis. The complete inclusion and exclusion criteria are shown in Supplementary Information (Study Protocol). Eligibility criteria included healthy males and females 18–55 years of age with negative human immunodeficiency virus (HIV), hepatitis B surface antigen (HBsAg), and hepatitis C virus (HCV), and no history of BCG vaccination. Participants who met all eligibility criteria were randomized 1:1 into two treatment groups. Study injections were performed on Study Days 0 and 56. General safety was evaluated on Days 0, 7, 56, 63, and 84 for each participant. Blood was assessed for safety laboratory analyses (hematology and serum chemistry) on the day of screening and on Study Days 7 and 63. All participants completed a written participant memory aid that solicited local and systemic reactogenicity AEs for 7 days following each study injection. Unsolicited AEs were recorded through Study Day 84 (28 days following the last study injection). The occurrence of SAEs and the onset of any PIMMCs were recorded throughout the study period (approximately 421 days). Immunogenicity was assessed on Study Day 0 (pre-dose) and on Study Days 7, 14, 56, 63, 70, 84, and 224. Participants were compensated $75 per study visit and $10 per telephone call visit.
Sample size and study endpoints
The sample size of 48 participants was determined by what is reasonable for a Phase 1 trial and allows only preliminary safety and immunogenicity information relevant to the progression to larger trials. Based on previous clinical experience with the non-thermostable presentation of ID93 + GLA-SE, we estimated that a sample size of 24 participants per group would allow the detection of an increase in systemic adverse reaction frequency of >32.5% in the thermostable presentation group compared to the non-thermostable presentation group at 80% power with a one-sided confidence interval of 95%, and detection of a decrease in serum antibody response rate of >10% in the thermostable presentation group compared to the non-thermostable presentation group at 90% power with a one-sided confidence interval of 95%. This study was inclusive of all healthy adults who met the inclusion/exclusion criteria, regardless of sex. Sex was determined based on self-reporting. No sex- or gender-based analyses were performed as the study was not designed with sufficient power to adequately address this aspect. The primary endpoints included (1) the number of participants experiencing solicited local injection site reactions within 7 days following each study injection, (2) the number of participants experiencing solicited systemic reactions within 7 days following each study injection, (3) the number of participants spontaneously reporting AEs from Study Day 0 through Study Day 84, and (4) number of SAEs considered related to any of the study injections reported at any point during the study period. The secondary endpoints included (1) proportion of participants with at least a 4-fold increase in IgG antibody responses to ID93 on Study Days 14, 56, 70, 84, and 224 relative to baseline (Study Day 0) as assayed by ELISA; (2) mean fold-change from baseline in IgG antibody responses to ID93 on Study Days 14, 56, 70, 84, and 224 relative to baseline (Study Day 0) as assayed by ELISA; (3) the number of IFN-γ and IL-10 cytokine-secreting cells in PBMC samples in response to ID93 at Study Days 14, 56, 70, 84, and 224 relative to baseline (Study Day 0) as assayed by ELISpot; and (4) the percentage of CD4+ and CD8+ T cells producing two or more cytokines in response to ID93 as measured by ICS with flow cytometry of PBMCs on Study Days 0, 7, 14, 56, 63, 70, 84, and 224. Exploratory endpoints included (1) IgG subclass antibody responses to ID93 at Study Days 0, 14, 56, 70, 84, and 224; (2) net intracellular growth inhibition of M. tuberculosis using whole blood on Study Days 0, 70, and 224; (3) IgA antibody responses to ID93 in mucosal secretions (nasal swabs and tear collections) as measured by ELISA on Study Days 0, 70, and 84; (4) number of antibody-secreting cells in PBMCs as assayed by short-culture B cell ELISpot on Study Days 0, 7, 56, and 63; (5) the number of antigen-specific memory B cells in PBMCs as assayed by long-culture B cell ELISpot on Study Days 0, 56, 84, and 224; and (6) the percentage of Tfh cells and T cell homing markers in PBMCs as measured by immunophenotyping flow cytometry on Study Days 0, 7, 14, 56, 63, 70, 84, and 224.
Randomization and blinding
Participants were enrolled by randomization into two treatment groups according to the following steps. A master log of all screened participants was maintained. At screening, participants who signed the informed consent form and met all inclusion and none of the exclusion criteria were identified as eligible to be enrolled in the study. Eligible participants were assigned a sequential identification number when they presented to the clinic on Study Day 0. Statisticians at DF/Net Research (Seattle, WA) generated the list of randomized treatment assignments and included it in the enrollment module of the Interactive Web Randomization System (IWRS), which is integrated into the DFexplore software. The study coordinator or designee at the clinical site performed the enrollment and randomization using DFexplore. Block randomization of appropriate size was used to balance enrollment in a 1:1 ratio into each of the two groups. A designated individual at the study site was provided with a treatment key, which linked the treatment code to the actual treatment assignment and was kept in a secure place.
The study was conducted as a double-blind trial. Participants, investigators, study personnel performing any study-related assessments following study injection, and laboratory personnel performing immunology assays were blinded to treatment assignment. The randomization scheme from DF/Net Research was provided to unblinded study personnel (i.e., site pharmacists performing study product preparations and unblinded study product administrators).
Vaccination
ID93 is a recombinant subunit antigen, and GLA-SE is a squalene emulsion containing the synthetic Toll-like receptor 4 agonist glucopyranosyl lipid A (GLA)8,27. This was the fifth clinical trial in which the ID93 + GLA-SE vaccine was administered to human participants but the first for the thermostable single-vial presentation (NCT01599897, NCT01927159, NCT02465216, NCT02508376, and NCT03722472). Results from a previous trial informed dose selection (2 µg ID93 and 5 µg GLA-SE) and schedule for this trial8. The thermostable single-vial lyophilized presentation of ID93 + GLA-SE was developed and manufactured as described earlier, including optimization of excipient content, lyophilization process engineering, and comprehensive physicochemical and potency stability monitoring12,13. The thermostable single-vial lyophilized ID93 + GLA-SE was reconstituted with sterile water for injection (WFI) prior to administration. The non-thermostable two-vial presentation was prepared by reconstituting lyophilized ID93 protein with sterile WFI and mixing at 1:1 v:v with liquid GLA-SE prior to administration. For the two-vial presentation, ID93 was manufactured by the University of Iowa Center for Biocatalysis and Bioprocessing (CBB, Coralville, IA), and lyophilization was performed by the University of Iowa Pharmaceuticals (Iowa City, IA). Liquid GLA-SE was manufactured by the Infectious Disease Research Institute (IDRI; Seattle, WA), now the Access to Advanced Health Institute (AAHI). For the single-vial presentation, bulk drug substances ID93 and GLA-SE were manufactured at CBB and IDRI, respectively, and the final drug product was manufactured at Lyophilization Technology, Inc (Warminster, PA). All investigational products were provided to the Investigator (Daniel F. Hoft at Saint Louis University) by the Sponsor (IDRI). Vials of ID93 + GLA-SE, ID93, and GLA-SE were shipped and stored at the study site at 2–8 °C; the temperature during shipping and storage was continuously monitored. Sterile WFI was provided by the study site.
Study vaccine preparation, including vaccine dilutions and admixing for the two dosing groups, was performed by the unblinded site pharmacist using an aseptic technique on the same day of study vaccine administration but no more than 2 h prior to administration. Once reconstituted, the vaccine from both treatment groups (single- and two-vial presentations) looked identical. The designee assigned to administer the study injections was supplied with a loaded syringe labeled with the participant identification number and hospital-required identification data. The time of preparation and time of administration was noted in the source documentation. All study injections were 0.5 mL in volume and administered intramuscularly in the deltoid of the non-dominant arm.
Sample collection and handling
All samples were collected at the study site, logged, and tracked (Saint Louis University Center for Vaccine Development in St. Louis, MO). Safety samples were shipped the same day as a collection to Quest Diagnostics, formerly LabOne (Lenexa, KS), for processing. Immunology samples for secondary and exploratory endpoints were processed at Saint Louis University. Serum and PBMC samples from each participant were stored here until completion of the study, at which point samples were shipped to Advanced Bioscience Laboratories (ABL Inc.; Rockville, MD) for assays and analysis in two separate shipments to mitigate the risk of sample loss due to temperature excursions. PBMCs were shipped using liquid nitrogen-charged dry shippers, and serum samples were shipped on dry ice.
For the Mycobacteria Growth Indicator Tube (MGIT) assay, blood was collected using sterile sodium heparin collection tubes. For safety hematology tests, blood was collected in tubes with EDTA. To obtain serum samples for safety chemistry and antibody analysis, blood was collected using serum separator tubes (SST). For antibody analysis, following centrifugation at 750–930 × g for 10–15 min at ambient temperature, the supernatant was collected. Serum samples at ~500 µL each were divided (into two primary and two backup vials), placed into pre-chilled 9 × 9 cryoboxes, immediately frozen at −70 °C ± 10 °C, and stored in an upright position at −70 °C ± 10 °C until shipment to ABL.
To obtain PBMC samples, blood was collected into 8-mL CPT tubes (BD Biosciences, Franklin Lakes, NJ). Following centrifugation at 1800 × g for 30 min at ambient temperature in a horizontal rotor swing-out head centrifuge, plasma was aspirated, and the cell layer was collected from the tube with a pipette and transferred to a conical centrifuge tube. Cells were then washed and resuspended in phosphate-buffered saline (PBS). PBMC samples were subsequently aliquoted at 8 × 106 in 1 mL of freezing media (fetal bovine serum (FBS) containing 10% dimethylsulfoxide (DMSO)) per cryovial. PBMCs were frozen immediately in CoolCell (Corning, Corning, NY) or Mr. Frosty (Thermo Fisher Scientific, Waltham, MA) containers at −70 °C ± 10 °C. Each participant’s PBMC vials were distributed into two separate (primary and backup) pre-chilled 9 × 9 cryoboxes in an upright position in a freezer, then moved to a liquid nitrogen or vapor phase cryogenic freezer within 1 week, and stored there until shipment to ABL.
For nasal sample collection, the same sterile PurFlock swab (Puritan Medical Products, Guilford, ME) was inserted into each nasal cavity alongside the nasal septum and rotated 360° in each direction waiting for 5 s after each rotation before carefully removing the swab. After sampling both nostrils, the swab tip was placed in 3 mL of buffer containing Dulbecco’s PBS (DPBS) with 5 mM l-glutamic acid and 10% sucrose (pH 7.2) in a 15-mL centrifuge tube. The swab applicator stick was removed, leaving the swab in the tube. Nasal swab samples were held on wet ice or in a 2–8 °C refrigerator for up to 2 h until freezing. Samples were frozen at −70 °C ± 10 °C and stored at this temperature for at least 24 h but not more than 1 month until processing. Sample processing consisted of vortexing the tube for 1 min and then pressing the swab against the side of the tube before removing. The remaining sample was then aliquoted into cryotubes and stored at −70 °C ± 10 °C until analysis at Saint Louis University.
Tear samples were collected by first squeezing an orange rind directly over the participant’s eye. The participant then blinked several times until tears were generated. The tears (target volume 125 µL) were collected using a capillary tube which drained into a screw-cap collection microtube. The affected eye was then irrigated with an eye wash solution and a commercial eye drop solution. Tear samples were held on wet ice for up to 2 h before processing by centrifugation at 20,000 × g for 5 min at ~4 °C. The supernatant was collected in 15-µL aliquots, placed into 0.5-mL storage vials, and stored at −70 °C ± 10 °C until analysis at Saint Louis University.
Safety monitoring
The occurrence of all AEs was recorded through Study Day 84, whereas SAEs and PIMMCs were monitored through Study Day 421. AEs were graded by severity (i.e., Grades 1, 2, or 3) and by relationship to the study injection (i.e., not, possibly, probably, or definitely related) according to definitions provided in the Study Protocol (Supplementary Information). For reporting purposes, consistent with the National Institute of Allergy and Infectious Diseases (NIAID) guidelines, definitely, probably, and possibly related AEs were considered related to study injection. Not related AEs were considered unrelated. An SAE was defined as any AE that resulted in death, was considered life-threatening, required hospitalization or prolongation of hospitalization, resulted in persistent or significant disability/incapacity, or resulted in a congenital anomaly/birth defect in the offspring of a study participant.
Local injection site reactions were assessed on the day of the study injection (prior to injection and 60 min after injection) and for 7 days after the study injection by grading pain, erythema, and induration. Solicited systemic reactions were defined as the occurrence of headache, arthralgia, chills, loss of appetite, fever, fatigue, and/or myalgia in the 7 days following each study injection. These symptoms were characterized as Grade 1 (mild), Grade 2 (moderate), or Grade 3 (severe). Memory aid booklets were distributed to each participant to collect local and systemic AE information covering the 7-day period following each study injection. All participants were instructed to record oral temperature and local and general signs and symptoms on individual memory aids on the evening of the day of injection and at approximately the same time daily for the 6 days following study injections. Erythema and induration at the injection site were measured and graded, using the measuring tool provided. Participants were also asked to record any medications taken. The memory aid was brought to the clinic on the scheduled visit 7 days after each injection for review and was collected by the study research staff on Study Days 7 and 63. The memory aid was a tool to help the Investigator and/or designee to engage in conversation with the participant about any AEs that may have occurred following injections.
Pulse, oral temperature, respiratory rate, and systolic and diastolic blood pressure were assessed on Study Days 0, 7, 56, 63, and 84. Safety lab tests (hematology and serum chemistry) were performed 7 days after each injection. Changes in vital signs or lab test values meeting Grade 1 or higher grade were recorded as AEs. Urine pregnancy tests were performed in the study clinic using a commercial test. Serology for HIV, HBsAg, HCV, and QuantiFERON-TB Gold was performed at screening. Unscheduled follow-up laboratory tests were done at the discretion of the study clinician. All serology, hematology, and chemistry tests were performed at Quest Diagnostics.
This clinical trial utilized a Safety Monitoring Committee (SMC) to monitor subject safety and study halting criteria. The SMC met 1 year after the start of the trial to review the current study status and discuss the safety summary report to date. No significant safety concerns were identified at that point. Therefore, the SMC recommended that the study proceed as planned with no changes.
Immunogenicity assays
All immunogenicity assessments on serum and PBMC samples were performed by ABL. Serum ELISAs were performed using high-binding 384-well ELISA plates coated for 2 h at ambient temperature with either purified ID93 or subunit proteins (RV1813, RV2608, RV3619, or RV3620), each at 1 µg per mL. Plates were then washed three times using Wash Buffer A (Teknova, Hollister, CA) and blocked for 4 h at ambient temperature with blocking buffer (1% w/v bovine serum albumin [BSA] and 0.05% w/v polysorbate 20 in PBS). The blocking buffer was then discarded, and samples were added to each well. Control serum was diluted fourfold, beginning with an initial 1:100 dilution in 0.1% BSA with 0.05% polysorbate 20 in PBS, added to appropriate wells, and incubated overnight at 4 oC. Plates were then washed seven times prior to adding horseradish peroxidase (HRP)-conjugated secondary antibodies (see Supplementary Notes for specific antibodies and dilutions) to appropriate wells in accordance with the specific ELISA being performed and incubated for 1 h at ambient temperature. Plates were then washed seven times, developed colorimetrically by adding SureBlue TMB peroxidase substrate (Kirkegaard & Perry Laboratories [KPL], Gaithersburg, MD), incubated for ~10 min at ambient temperature, and stopped using 1 N sulfuric acid. Optical densities (ODs) were quantified at 450 and 570 nm using a plate reader (Molecular Devices). Subtracted OD data (450–570 nm) was used to perform subsequent data analyses. Endpoint titers were calculated by performing a least-squares fit of the OD values at each dilution to a four-parameter least-squares sigmoidal curve. The cutoff values were calculated as the average of the negative control sera at all dilutions plus six times or three times the standard deviation depending on antibody isotype. Samples with OD values lower than the cutoff were assigned an endpoint titer of 1.699, representing the log transformation of 0.5 times the lowest dilution.
Secretory immunoglobulin A (sIgA) ELISAs were performed with a nasal swab and tear samples collected on Study Days 0, 70, and 22428. For antigen-specific sIgA ELISA, Immulon 2 plates were coated with 1 µg per mL of purified ID93 protein (AAHI, Seattle, WA) diluted in PBS and incubated overnight at 4 °C, 5% CO2. Plates were then washed with PBS plus 0.05% polysorbate 20 and blocked with 1% BSA in PBS for ~1 h at 37 °C. Following blocking, the plates were washed, nasal swab and tear samples were added to duplicate wells at optimal dilutions predetermined for each type of sample, and the plates were incubated overnight at 4 °C. Plates were then washed with PBS plus 0.05% polysorbate 20 and, with the addition of biotin-conjugated purified goat anti-human IgA (Cat# 5260-0027, KPL, Seracare Life Sciences) at 500-fold dilution, were incubated for 1.5 h at room temperature protected from light. After the incubation, the plates were washed with PBS plus 0.05% polysorbate 20, Phosphatase-labeled Streptavidin (KPL) was added, and plates were incubated for 1.5 h at room temperature, protected from light. At the end of incubation, pNPP (SIGMAFAST p-Nytrophenyl phosphate Tablets, MilliporeSigma) substrate solution was prepared, then plates were washed with PBS plus 0.05% polysorbate 20, and the substrate solution was added. The plates with substrate solution were incubated for 50 min (at room temperature and protected from light), AP stopping solution (KPL) was added, and absorbance was read at 405/550 dual wavelength. The total sIgA ELISA was performed following the IgA (Human) ELISA Kit (Abnova, Taipei, Taiwan; #KA2110) protocol.
ICS was performed according to the following procedures. PBMCs from study participants were thawed and rested in R10 media (RPMI 1640 with 10% FBS, 1% l-glutamine, and 1% penicillin-streptavidin) at a maximum concentration of 2 × 106 cells per mL overnight at 37 °C and 5% CO2. PBMCs were then resuspended to a concentration of 10 × 106 cells per mL and distributed so that 1 × 106 cells per mL were each stimulated with 0.25 μg per mL Staphylococcal enterotoxin B (SEB) or 10 μg per mL ID93 or 0.3% DMSO, and a CD28/CD49d co-stimulation cocktail was also added to each. After PBMCs were incubated for 2 h at 37 °C and 5% CO2, 1X brefeldin A was added to retain secretory proteins (e.g., cytokines and interleukins) intracellularly. Activation continued for an additional 10 h at 37 °C and 5% CO2 with cells incubated in a sealed plastic bag containing a damp towel. Cell counts and percent viability were monitored using the Guava EasyCyte flow cytometer (Luminex, Austin, TX). Cells were then stained in multiple stages to detect region/zone-partitioned targets. Cells were stained separately: first with a 500-fold dilution of viability dye (Human CD14 BV510, Cat# 301842, BioLegend) for 20 min at ambient temperature followed by 5 µg per mL human Fc block for 10 min at ambient temperature (protected from light), and then with an extracellular surface marker cocktail for 20 min at ambient temperature. A complete list of antibodies and dilutions and other reagents used are in the Supplementary Notes. Next, cells were permeabilized and fixed with BD CytoFix/CytoPerm (BD Biosciences) for 10 min at ambient temperature (protected from light), followed by 1X Perm/Wash buffer washes. Finally, cells were stained with an intracellular marker cocktail for 30 min at ambient temperature (protected from light), fixed with 1X BD Stabilizing Fixative for 20 min at ambient temperature, and analyzed within 16 h post-staining on the BD LSRFortessa flow cytometer. Data on cell population counts and frequencies were collected using FlowJo v10.8.1 software (BD Biosciences).
A short-term B cell ELISpot assay was performed to detect the frequency of circulating antibody-secreting cells. Plates were activated with 35% alcohol, coating appropriate wells with either ID93 capture antigen or IgG/IgA capture antibody (Clone MT91/145, Cat# 3850-3-1000, or Clone MT57, Cat# 3860-3-1000, respectively, MabTech) at 100-fold dilution, and incubated overnight at 4 °C. Plates were then blocked using R10 media. PBMCs were thawed, incubated for 2 h at 37 °C and 5% CO2, and counted prior to seeding onto blocked wells (5 × 105 cells per well for ID93 or 1 × 105 cells per well for IgG/IgA). Cells were cultured for 18–22 h at 37 °C and 5% CO2. Plates were then washed, incubated with anti-IgG or anti-IgA detection antibodies (Clone MT78/145, Cat# 3850-6-250, or Clone MT20, Cat# 3860-6-250, respectively, MabTech) at 500-fold dilution for 2 h at ambient temperature, washed, incubated with anti-biotin streptavidin-alkaline phosphatase (AP) secondary antibody (Cat# 3310-9-1000, MabTech) for 1 h at ambient temperature, washed, and finally developed using nitro-blue tetrazolium/5-bromo-4-chloro-3’-indolyphosphate (NBT/BCIP) for 7 min at ambient temperature before stopping with distilled water. Within 2 days post-development, plates were scanned, counted, and subjected to quality control using the ImmunoSpot analyzer (Cellular Technology Limited, Cleveland, OH).
A long-term B cell ELISpot assay to detect memory B cells was conducted following the same procedures described above, except that PBMCs were first cultured for 3 days with R10 media supplemented with Human B-Poly-S polyclonal B cell resiquimod/IL-2 stimulator (Cellular Technology Limited) and then plated (2 × 105 cells per well for ID93 or 5 × 104 cells per well for IgG/IgA) and developed on the 4th and 5th days, respectively.
IFN-γ and IL-10 T cell ELISpot assays were conducted according to the following procedures. Plates were activated with 35% alcohol, coating plates with capture antibodies to either IFN-γ or IL-10 (Clone 1-D1K, Cat# 3420-3-250, or Clone 9D7, Cat# 3430-3-250, respectively, MabTech) at 100-fold dilution, and incubated overnight at 4 °C. Study sample PBMCs and cytomegalovirus, Epstein-Barr virus, influenza virus, and tetanus toxin (CEFT) donor control PBMCs were thawed, counted, and incubated overnight at 37 °C and 5% CO2. Plates were then blocked by adding R10 media and stored for 2–4 h at 37 °C and 5% CO2. Study samples and control PBMCs were re-counted and resuspended to appropriate concentrations. Cells were seeded to 96-well polyvinylidene fluoride (PVDF) plates according to the following densities. All study samples were seeded at 2 × 105 cells per well for both T cell ELISpot assays. Donor control PBMCs were seeded at either 2 × 105 cells per well for phytohemagglutinin (PHA)-stimulation (IL-10 assay) or 1 × 105 cells per well for CEF-stimulation (IFN-γ assay). Stimulants were added to their corresponding wells using the following concentrations: 10 µg per mL ID93; 1 µg per mL RV1813, RV2608, RV3619, or RV3620 peptides; 1–10 µg per mL PHA; or 1 µg per mL CEF. Assembled plates were incubated overnight for 18–22 h at 37 °C and 5% CO2. Plates were then washed and incubated with 1 µg per mL of anti-human IFN-γ or anti-human IL-10 detection antibodies (Clone 7-B6-1, Cat# 3420-6-250, or Clone 12G8, Cat# 3430-6-250, respectively, MabTech) at 1000-fold dilution for 2.5 h at ambient temperature, washed, incubated with streptavidin-HRP for 1 h at ambient temperature, washed, and finally developed using NovaRED (Vector Laboratories, Newark, CA) for ~15 min at ambient temperature before stopping with distilled water. Within 1–2 days post-development, plates were scanned, counted, and subjected to quality control using the ImmunoSpot analyzer.
The mycobactericidal activity was studied in whole blood cultures from Day 0, 7, and 224 as previously described29. Briefly, RPMI 1640 medium with L-glutamine and HEPES (4-(2-hydroxyethyl)−1-piperazine ethanesulfonic acid) was used to dilute the heparinized whole blood samples, then these diluted whole blood samples were added in 2-mL tubes with BCG (in duplicates) and tightly capped. Then tubes were placed on a rotator and continuously rotated for 72 h at 37 °C. After the incubation, the tubes were centrifuged at 13,000 × g for 10 min, and the supernatant was removed. The remaining pellet from each tube was resuspended in PANTA-supplemented Mycobacteria Growth Indicator Tube (MGIT) medium (BD), vortexed thoroughly, and then transferred into a fluorimetric MGIT (BD). The MGITs with samples were tightly capped and placed into a Bactec MGIT 320 instrument (BD). The time to positivity (TTP) of MGITs was automatically tracked and recorded.
Statistical analysis
The immunology analysis was performed using either Prism 9.3 or higher (GraphPad Software, San Diego, CA), SAS 9.4 (SAS Institute, Cary, NC), or R 4.03 (The R Foundation, Vienna, Austria). Categorical data were analyzed using Fisher’s exact test and a 0.05 level of significance (α = 0.05) with Bonferroni adjustments whenever pairwise comparisons were made between more than two categories.
Continuous data were compared between two treatment groups using the Wilcoxon rank-sum test since the normality assumption was not met for any dataset according to the Shapiro–Wilk test. Response rates were compared using Fisher’s exact test. Differences were detected based on a two-sided test and p ≤ 0.05 (α = 0.05) with Bonferroni adjustments whenever pairwise comparisons were made between multiple time points. Comparisons were accompanied by the point estimate and 95% confidence interval (CI) for each group. Missing data were assumed to be missing completely at random (MCAR), and analysis was performed on the available data.
IgG antibody responses (total IgG, IgG1, IgG2, IgG3, and IgG4) to the ID93 antigen were measured by ELISA using serum collected from a given participant. At each time point, the MEPT calculated from duplicates was reported. At each post-injection time point, the following Post:Pre Ratio was calculated:
$${{{{{\rm{Post}}}}}} \!\! :{{{{{\rm{Pre}}}}}}\,{{{{{\rm{Ratio}}}}}}=\frac{{{{{{\rm{MEPT}}}}}}({{{{{\rm{post}}}}}}-{{{{{\rm{injection}}}}}}\,{{{{{\rm{time}}}}}}\,{{{{{\rm{point}}}}}})}{{{{{{\rm{MEPT}}}}}}({{{{{\rm{baseline}}}}}}\,{{{{{\rm{time}}}}}}\,{{{{{\rm{point}}}}}})}$$
(1)
A participant was considered an antibody positive responder at a given time point if system suitability criteria for a given ELISA were met and the Post:Pre Ratio at that time point was ≥4.
Cellular responses to the ID93 protein were evaluated by measuring cytokine production in PBMCs by ELISpot assay and by ICS with flow cytometry. IFN-γ and IL-10 ELISpot assays were performed on samples from Study Days 0, 14, 56, 70, 84, and 224 to determine the proportion of PBMCs producing IFN-γ or IL-10 in response to stimulation with ID93 or unstimulated (PBS). For analysis, background-subtracted spot-forming units (SFU) values were calculated. At each post-injection time point, the change from baseline was calculated by subtracting the background-subtracted SFU value at baseline from a given time point. Both background-subtracted SFU and change from baseline SFU were summarized for each participant and visit day. The responder status at each time point was determined using the MIMOSA model, a Bayesian statistical framework that controls the false-discovery rate to 0.1%30. The Markov chain Monte Carlo (MCMC) settings used the default hyperparameter. Specifically, both non-responder and responder probabilities were assumed to follow the beta distribution where the hyperparameters were given vague exponential priors with a mean of 1000. The unknown proportion of responders was assumed to be drawn from a uniform distribution between 0 and 1. Each MCMC run used 200,000 iterations after 50,000 burn-in iterations. The responder rate was then calculated based on the total number of participants analyzed within each treatment group.
PBMC ICS was performed on samples from Study Days 0, 7, 14, 56, 63, 70, 84, and 224 to determine the proportion of single and multi-functional CD4 and CD8 T cells producing various combinations of IFNγ, TNF, IL-2, IL-4, IL-21, and CD154 in response to ID93 stimulation. A gate was applied for each functional marker, not accounting for the co-expression of other markers (Supplementary Figs. 6–10). Boolean gates were later created based on the gates shown to identify cells expressing various combinations of markers. We analyzed the T cell population for any two or more cytokines, which were positive for at least two immune markers among IFN-γ, TNF, IL-2, IL-4, IL-21, and CD154. We also evaluated T cells that expressed selected combinations of the six immune markers. Any negative background-subtracted values were set to zero. The background-subtracted frequency (%) was calculated as the frequency of cytokine-positive T cells for the ID93-stimulated samples minus the unstimulated samples (background subtracted).
$$\%{{{{{\rm{background}}}}}}{{{{{\rm{subtracted\; frequency}}}}}}= \%{{{{{\rm{stimulated\; frequency}}}}}}\\ -\%{{{{{\rm{background\; frequency}}}}}}$$
(2)
At each post-injection time point, the change from baseline was calculated by subtracting the background-subtracted frequency (%) at baseline from a given time point. Both background-subtracted and change from baseline frequencies were summarized for each participant and visit day. Response status was determined for each participant, visit day, and T cell subset using the MIMOSA model. The responder rate was then calculated based on the total number of participants analyzed within each treatment group.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
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LOS ANGELES, CA / ACCESSWIRE / June 24, 2020, / Compare-autoinsurance.Org has launched a new blog post that presents the main benefits of comparing multiple car insurance quotes. For more info and free online quotes, please visit https://compare-autoinsurance.Org/the-advantages-of-comparing-prices-with-car-insurance-quotes-online/ The modern society has numerous technological advantages. One important advantage is the speed at which information is sent and received. With the help of the internet, the shopping habits of many persons have drastically changed. The car insurance industry hasn't remained untouched by these changes. On the internet, drivers can compare insurance prices and find out which sellers have the best offers. View photos The advantages of comparing online car insurance quotes are the following: Online quotes can be obtained from anywhere and at any time. Unlike physical insurance agencies, websites don't have a specific schedule and they are available at any time. Drivers that have busy working schedules, can compare quotes from anywhere and at any time, even at midnight. Multiple choices. Almost all insurance providers, no matter if they are well-known brands or just local insurers, have an online presence. Online quotes will allow policyholders the chance to discover multiple insurance companies and check their prices. Drivers are no longer required to get quotes from just a few known insurance companies. Also, local and regional insurers can provide lower insurance rates for the same services. Accurate insurance estimates. Online quotes can only be accurate if the customers provide accurate and real info about their car models and driving history. Lying about past driving incidents can make the price estimates to be lower, but when dealing with an insurance company lying to them is useless. Usually, insurance companies will do research about a potential customer before granting him coverage. Online quotes can be sorted easily. Although drivers are recommended to not choose a policy just based on its price, drivers can easily sort quotes by insurance price. Using brokerage websites will allow drivers to get quotes from multiple insurers, thus making the comparison faster and easier. For additional info, money-saving tips, and free car insurance quotes, visit https://compare-autoinsurance.Org/ Compare-autoinsurance.Org is an online provider of life, home, health, and auto insurance quotes. This website is unique because it does not simply stick to one kind of insurance provider, but brings the clients the best deals from many different online insurance carriers. In this way, clients have access to offers from multiple carriers all in one place: this website. On this site, customers have access to quotes for insurance plans from various agencies, such as local or nationwide agencies, brand names insurance companies, etc. "Online quotes can easily help drivers obtain better car insurance deals. All they have to do is to complete an online form with accurate and real info, then compare prices", said Russell Rabichev, Marketing Director of Internet Marketing Company. CONTACT: Company Name: Internet Marketing CompanyPerson for contact Name: Gurgu CPhone Number: (818) 359-3898Email: [email protected]: https://compare-autoinsurance.Org/ SOURCE: Compare-autoinsurance.Org View source version on accesswire.Com:https://www.Accesswire.Com/595055/What-Are-The-Main-Benefits-Of-Comparing-Car-Insurance-Quotes-Online View photos
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