Tetanus & Diphtheria booster vaccine (Td)
BiologicalTetanus & Diphtheria booster vaccine (Td), single intramuscular dose
NCT Number: NCT01119703
This study evaluated whether it is possible in healthy elderly participants to generate baseline biomarker-based prediction rules (PdR) for vaccine response (post baseline absolute serum antibody titer) using each of the protocol selected vaccines separately; and examined the rank correlation coefficients of pairs of post vaccination antibody titers within the same elderly individuals.
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Notify Me25 year and older
All sexes
Observational
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Tetanus & Diphtheria booster vaccine (Td), single intramuscular dose
TwinrixTM [Hepatitis A Inactivated & Hepatitis B (Recombinant) Vaccine], intramuscular, two doses of standard three dose regimen (opposite arms)
Dukoral® Traveler's Diarrhea Vaccine, recombinant Cholera toxin B subunit (WC/rBS), standard two oral doses per treatment regimen
Time frame: Baseline and 1 month after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to HBV sAg were then measured 1 month after final vaccination, based on enzyme linked immunosorbent assay (ELISA), and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected prior to vaccination at baseline, to measure a wide variety of biomarkers by messenger RNA (mRNA) profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log (ln).
Time frame: Baseline and 1 month after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to tetanus were then measured 1 month after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected prior to vaccination at baseline, to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log (ln).
Time frame: Baseline and 1 month after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to diphtheria were then measured 1 month after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected prior to vaccination at baseline, to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log (ln).
Time frame: Baseline and 3 weeks after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to cholera were then measured 3 weeks after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected prior to vaccination at baseline, to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log (ln).
Time frame: 3 weeks or 1 month after each final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to each of these four antigens were then measured 1 month after each final vaccination (3 weeks for cholera toxin), based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln).
Time frame: Day 7 and 1 month after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to HBV sAg were then measured 1 month after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected at 7 days post-baseline vaccination to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log (ln).
Time frame: Day 7 and 1 month after each final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to tetanus were then measured 1 month after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected 7 days post-baseline vaccination to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log(ln).
Time frame: Day 7 and 1 month after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to diphtheria were then measured 1 month after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected 7 days post-baseline vaccination to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log(ln).
Time frame: Day 7 and 3 weeks after final vaccination
Healthy elderly participants were simultaneously vaccinated at baseline with hepatitis vaccine, tetanus-diphtheria booster vaccine, and cholera vaccine. Antibody titers to cholera were then measured 3 weeks after final vaccination, based on ELISA, and are defined as standardized "international units" of reactivity converted from optical densities, transformed to natural log (ln). In order to predict antibody responses blood samples were collected 7 days post-baseline vaccination to measure a wide variety of biomarkers by mRNA profiling, biochemical and flow cytometric assays. These biomarkers were then used in a machine-learning (random-forest based) model to predict antibody titers, transformed to natural log(ln).
Merck Sharp & Dohme LLC
Industry
A Phase I, Open-Label Observational Study to Develop a Prospective Predictor of Vaccine Hyporesponse in Healthy Elderly Subjects
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