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| ID | Type | Description | Link |
|---|---|---|---|
| 002062-I |
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Background:
Staphylococcus aureus (S.aureus) are bacteria that can make people sick. Sometimes, an S. aureus infection can develop inside the spine; these infections can lead to paralysis and death. Researchers do not know how S. aureus interacts with a person s cells to cause infections in the spine.
Objective:
To learn how S. aureus interacts with cells in the body using tissues from tonsils discarded after standard surgery to remove them.
Eligibility:
People aged 2 years and older who are scheduled to have their tonsils removed.
Design:
Researchers will select participants for the study based on review of their existing medical records, including results of blood tests; any imaging scans, including x-rays; and reports about tissue specimens.
Participants will answer questionnaires about their health and past infections. They can do this online or on paper.
Participants will collect a nasal swab 1 week before their surgery. They will be given a tool that looks like a long cotton swab. They will twirl it around inside their nose. The swab will pick up cells and fluids that will be used for research.
After their surgery, the participant s surgeon will save samples of tonsil tissue. The surgeon will send these tissue samples and the nasal swab to researchers at the NIH.
These tissues and the swab will be used in studies to help researchers understand how S. aureus interacts with cells in the body. They hope these studies will help them find better ways to treat S. aureus infections.
STUDY DESCRIPTION:
The purpose of this study is to collect tonsil tissues that are routinely discarded after tonsillectomy procedures to develop lymphoid organoid models to evaluate host-pathogen interactions in human health and disease. One such interaction is the human immunotolerance mechanism to the Chemotaxis Inhibitory Protein of S. aureus (CHIPS).
OBJECTIVES:
Primary Objectives:
-Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS.
Secondary Objective:
-Modulate anti-CHIPS IgG4 class switching through variation of primary and costimulatory signals.
ENDPOINTS:
Primary Endpoints:
Differences between the following within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS:
Secondary Endpoints:
Differences between the following modulation of primary and costimulatory signals:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Tonsillectomy Patients | Patients undergoing tonsillectomy as part of their clinical care |
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| Measure | Description | Time Frame |
|---|---|---|
| Immune cell composition | Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS. | At time of collection |
| Anti-CHIPS antibody levels, including total and subclasses of IgG and their neutralizing capacity | Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS. | At time of collection |
| Cytokine levels | Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS. | At time of collection |
| Activation-induced cytidine deaminase (AID) levels | Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS. | At time of collection |
| Single-cell inference of class switch recombination (sciCSR) | Develop a lymphoid organoid model from discarded human tonsils and determine and compare the human immunologic signatures of primary exposure, within the "antigenic sin" contexts of re-exposure, and with repeated exposures to CHIPS. | At time of collection |
| Measure | Description | Time Frame |
|---|---|---|
| Immune cell composition | Primary signals such as antigen characteristics, and secondary signals such as cytokines have been implicated in class switching to IgG4 but have not been defined with respect to CHIPS. Varying these signals and evaluating: 1) organoid immune cell composition, 2) antibody and 3) cytokines levels, and indicators of class switching such as 4) AID and 5) sciCSR levels, will enable us to evaluate modulation of human immunotolerance to CHIPS. |
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To be eligible to participate in this study, an individual must meet all of the following criteria:
EXCLUSION CRITERIA:
An individual who meets any of the following criteria will be excluded from participation in this study:
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Patients undergoing tonsillectomy as part of their clinical care at hospitals and pediatric ear nose and throat (ENT) practices in the US will be enrolled.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Katherine Le, M.D. | Contact | (301) 761-7166 | katherine.le@nih.gov | |
| Michael Otto, M.D. | Contact | (406) 363-9394 | mo112y@nih.gov |
| Name | Affiliation | Role |
|---|---|---|
| Michael Otto, M.D. | National Institute of Allergy and Infectious Diseases (NIAID) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institute of Allergy and Infectious Diseases (NIAID) | Recruiting | Bethesda | Maryland | 20892 | United States | |
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| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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Experiments will be conducted in groups of 5 to 16 organoids and will be reported according to experimental groups. Participant data will not be reported individually.
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| ID | Term |
|---|---|
| D013203 | Staphylococcal Infections |
| ID | Term |
|---|---|
| D016908 | Gram-Positive Bacterial Infections |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
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| At time of collection |
| Anti-CHIPS antibody levels, including total and subclasses of IgG and their neutralizing capacity | Primary signals such as antigen characteristics, and secondary signals such as cytokines have been implicated in class switching to IgG4 but have not been defined with respect to CHIPS. Varying these signals and evaluating: 1) organoid immune cell composition, 2) antibody and 3) cytokines levels, and indicators of class switching such as 4) AID and 5) sciCSR levels, will enable us to evaluate modulation of human immunotolerance to CHIPS. | At time of collection |
| Cytokine levels | Primary signals such as antigen characteristics, and secondary signals such as cytokines have been implicated in class switching to IgG4 but have not been defined with respect to CHIPS. Varying these signals and evaluating: 1) organoid immune cell composition, 2) antibody and 3) cytokines levels, and indicators of class switching such as 4) AID and 5) sciCSR levels, will enable us to evaluate modulation of human immunotolerance to CHIPS. | At time of collection |
| Activation-induced cytidine deaminase (AID) levels | Primary signals such as antigen characteristics, and secondary signals such as cytokines have been implicated in class switching to IgG4 but have not been defined with respect to CHIPS. Varying these signals and evaluating: 1) organoid immune cell composition, 2) antibody and 3) cytokines levels, and indicators of class switching such as 4) AID and 5) sciCSR levels, will enable us to evaluate modulation of human immunotolerance to CHIPS. | At time of collection |
| Single-cell inference of class switch recombination (sciCSR) | Primary signals such as antigen characteristics, and secondary signals such as cytokines have been implicated in class switching to IgG4 but have not been defined with respect to CHIPS. Varying these signals and evaluating: 1) organoid immune cell composition, 2) antibody and 3) cytokines levels, and indicators of class switching such as 4) AID and 5) sciCSR levels, will enable us to evaluate modulation of human immunotolerance to CHIPS. | At time of collection |
| National Institutes of Health Clinical Center |
| Recruiting |
| Bethesda |
| Maryland |
| 20892 |
| United States |
|