ID

46128

Descrizione

Principal Investigator: Gloria Pryhuber, University of Rochester Rochester, Rochester, NY, USA MeSH: Infant, Premature,Infant, Newborn,Premature Birth,Term Birth,Microbiota,Gastrointestinal Microbiome,T-Lymphocytes,Bronchopulmonary Dysplasia,Respiratory Tract Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001347 *Public health importance*: Babies born preterm, approximately 1 out of every 9 live births in the United States, have significant respiratory morbidity over the first two years of life, exacerbated by respiratory viral infections. Many (50%) return to pediatricians, emergency rooms and pulmonologists with symptoms of respiratory dysfunction (SRD): intermittent or chronic wheezing, poor growth and an excess of upper and lower respiratory tract infections (LRTI). SRD correlate inversely with gestational age and weight at birth and is more common in those with chronic lung disease of prematurity, yet its incidence and severity varies widely among both the prematurely born and those born at term. There is evidence from clinical studies and animal models that risks of LRTI and recurrent wheezing is influenced by gut and respiratory flora and by T cell responses to infection. Information gained from this study will be used to identify characteristics, risk factors and potential mechanisms for early and persistent lung disease in children born at term and born preterm. This Clinical Research Study will investigate the relationships between sequential respiratory viral infections, patterns of intestinal and respiratory bacterial colonization, and adaptive cellular immune phenotypes which are associated with increased susceptibility to respiratory infections and long term respiratory morbidity in preterm and full term infants. We hypothesize that the timing and acquisition of specific viral infections and bacterial species are directly related to respiratory morbidity in the first year of life as defined by SRD and by measures of pulmonary function. We hypothesize that cellular and molecular immuno-maturity are altered due to factors presented by premature birth in such a way as to promote chronic inflammatory and cytotoxic damage to the lung, with subsequent enhanced, damaging responses to infectious agents and environmental irritants. Our preliminary studies demonstrate both feasibility and expertise in mutiparameter immunophenotyping of small volume peripheral blood samples obtained from premature infants including gene expression arrays of flow cytometry sorted cells. We will use new technologies for known viral identification, as well as high-throughput metagenome sequencing of RNA and DNA virus like particles (VLP) to be used for viral discovery in infant respiratory sample and use of high-throughput pyrosequencing (454T) of bacterial 16S rRNA to determine shifts in bacterial community structure, occurring in pre-term (PT) as compared to full term (FT) infants, over the first year of life. Finally, we present statistical approaches to stratify disease risk predictors using multivariate logistic regression modeling approaches. We propose to evaluate T cell phenotypic and functional profiles relative to viral and predominant bacterial exposures according to highly complementary, but independent, Specific Objectives. *Objective 1*: To determine if viral respiratory infections and patterns of respiratory and gut bacterial community structure (microbiome) in prematurely born babies predict the rate and degree of immunologic maturation, and pulmonary dysfunction, measured from birth to 36 weeks corrected gestational age (CGA). *Objective 2*: To determine the relationship between respiratory viral infections and disease severity up to one year CGA, and the lymphocyte (Lc) phenotypes documented at term gestation (birth for term infants and 36 wks/NICU discharge in preterm infants) and at one year CGA. Three secondary outcomes of this objective will be to a) relate the quantity, type and severity of viral infections with pulmonary function at one and three years of life, b) relate the viral community structure to severity of viral infections and c) to seek evidence of modulation of viral susceptibility by bacterial respiratory and gut community structure (microbiome). The relationship of colonization with known and non-identified bacterial species in both the respiratory tract and the gut will be evaluated. Flow cytometry data corresponding to this study can be found within Immport study SDY1302. Positive and negative controls for microbiome samples are uploaded under SRA bioproject PRJNA474485. Microbiome samples corresponding to PRISM2 are distinguished from PRISM1 via "_PRISM2" appended to the sample name. Within the positive and negative controls, PRISM1 controls are uploaded as bam files and PRISM2 controls are uploaded as paired fastq. Samples ending in -08 correspond to TLDA qPCR results for a given sample. There is a column for each pathogen tested and a column to indicate where that pathogen was bacteria or virus.

collegamento

dbGaP study id = phs001347

Keywords

  1. 11.11.24 11.11.24 - Dr. Christian Niklas
Titolare del copyright

Gloria Pryhuber, University of Rochester Rochester, Rochester, NY, USA

Caricato su

11. November 2024

DOI

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Licenza

Creative Commons BY 4.0

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dbGaP phs001347 Prematurity, Respiratory Outcomes, Immune System, and Microbiome Study (PRISM)

The subject consent file includes subject IDs, consent information, subject aliases, and study ID.

  1. StudyEvent: Prematurity Respiratory Outcomes Immune System and Microbiome Study
    1. Eligibility Criteria
    2. The subject consent file includes subject IDs, consent information, subject aliases, and study ID.
    3. This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
    4. This subject phenotype table contains subject IDs, cohort, sex, ethnic, race, gestational ages at birth and discharge, birth mode, bronchopulmonary dysplasia status, persistent repiratory disease after one year, oxygen AUC (Area Under the ROC curve) at 7 and 14 days, days on 7 variables (oxygen, mechanical ventilation, high frequency ventilation, cpap, nasal cannula gt 1 lmp, any respiratory support, and nasal cannula), maximum mean airway pressure, last PMA and DOL on ETT for GT 2 days in a row, exposure to furry animals in the home, asthma, allergies and eczema within siblings, BMI of the mother at the time of delivery, chlorioamnionitis, season of birth, derived respiratory severity score, oxygen AUC for first 14 days of life, and difference between FIO2 weeks 1 and 2.
    5. This sample attributes table contains sample IDs, visit, postmenstrual ages at time of nsasal or rectal swab sampling, day of life of the nasal or rectal tests, body site, read counts, analyte type, tumor status, histological type, region of bacteria being sequenced, presence of bacteria or virus (Adenovirus, Bocavirus, Bordetella pertussis, Coronavirus 1-4, Chlamydophila pneumoniae, Enterobacteriaceae, Flu A, Flu B, Haemophilus influenzae, Human metapneumovirus, Moraxella, Mycoplasma hominis, Mycoplasma pneumoniae, parechovirus, PIV 1-3, Rhinovirus, RSV, Streptococcus pneumoniae, and Ureaplasma) within the sample, corresponding bacteria or virus classification, hospital admissions, due to wheezing or breathing problems, admitted to intensive care, admissions due to RSV, sick visits, sick visits due to wheezing or breathing problems or wheezing unknown, has baby chest sounded wheezy or whistling, occurred with or without colds, chest wheezy during daytime or nighttime, diagnosed with wheezing by doctor, cough without cold, coughing during daytime or nighttime, number of colds, breathing and heart rate monitor, oxygen therapy, CPAP or BIPAP, ventilator, trach or breathing tube, feeding tube in nose or stomach, other equipment used, is baby receiving breast milk, is baby receiving breast milk exclusively, did baby receive breast milk since last visit, for how many months did baby receive breast milk for more than half of feedings, does baby eat any non-milk foods, and what non-milk foods does baby eat.
pht006794
Descrizione

pht006794

Alias
UMLS CUI [1,1]
C3846158
Subject ID
Descrizione

SUBJECT_ID

Tipo di dati

string

Alias
UMLS CUI [1,1]
C2348585
Consent group as determined by DAC
Descrizione

CONSENT

Tipo di dati

text

Alias
UMLS CUI [1,1]
C0021430
UMLS CUI [1,2]
C0441833
Source repository where subjects originate
Descrizione

SUBJECT_SOURCE

Tipo di dati

string

Alias
UMLS CUI [1,1]
C3847505
UMLS CUI [1,2]
C0449416
UMLS CUI [1,3]
C0681850
Subject ID used in the Source Repository
Descrizione

SOURCE_SUBJECT_ID

Tipo di dati

string

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C3847505
UMLS CUI [1,3]
C0449416
Study ID of the Source Repository
Descrizione

STUDY

Tipo di dati

string

Alias
UMLS CUI [1,1]
C2826693
UMLS CUI [1,2]
C3847505
UMLS CUI [1,3]
C0449416
DbGaP study in which the subject is already declared
Descrizione

SUBJ_SOURCE2

Tipo di dati

string

Alias
UMLS CUI [1,1]
C2348568
Source ID within existing dbGaP study
Descrizione

SOURCE_SUBBJ_ID2

Tipo di dati

string

Alias
UMLS CUI [1,1]
C0449416
UMLS CUI [1,2]
C2348585

Similar models

The subject consent file includes subject IDs, consent information, subject aliases, and study ID.

  1. StudyEvent: Prematurity Respiratory Outcomes Immune System and Microbiome Study
    1. Eligibility Criteria
    2. The subject consent file includes subject IDs, consent information, subject aliases, and study ID.
    3. This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
    4. This subject phenotype table contains subject IDs, cohort, sex, ethnic, race, gestational ages at birth and discharge, birth mode, bronchopulmonary dysplasia status, persistent repiratory disease after one year, oxygen AUC (Area Under the ROC curve) at 7 and 14 days, days on 7 variables (oxygen, mechanical ventilation, high frequency ventilation, cpap, nasal cannula gt 1 lmp, any respiratory support, and nasal cannula), maximum mean airway pressure, last PMA and DOL on ETT for GT 2 days in a row, exposure to furry animals in the home, asthma, allergies and eczema within siblings, BMI of the mother at the time of delivery, chlorioamnionitis, season of birth, derived respiratory severity score, oxygen AUC for first 14 days of life, and difference between FIO2 weeks 1 and 2.
    5. This sample attributes table contains sample IDs, visit, postmenstrual ages at time of nsasal or rectal swab sampling, day of life of the nasal or rectal tests, body site, read counts, analyte type, tumor status, histological type, region of bacteria being sequenced, presence of bacteria or virus (Adenovirus, Bocavirus, Bordetella pertussis, Coronavirus 1-4, Chlamydophila pneumoniae, Enterobacteriaceae, Flu A, Flu B, Haemophilus influenzae, Human metapneumovirus, Moraxella, Mycoplasma hominis, Mycoplasma pneumoniae, parechovirus, PIV 1-3, Rhinovirus, RSV, Streptococcus pneumoniae, and Ureaplasma) within the sample, corresponding bacteria or virus classification, hospital admissions, due to wheezing or breathing problems, admitted to intensive care, admissions due to RSV, sick visits, sick visits due to wheezing or breathing problems or wheezing unknown, has baby chest sounded wheezy or whistling, occurred with or without colds, chest wheezy during daytime or nighttime, diagnosed with wheezing by doctor, cough without cold, coughing during daytime or nighttime, number of colds, breathing and heart rate monitor, oxygen therapy, CPAP or BIPAP, ventilator, trach or breathing tube, feeding tube in nose or stomach, other equipment used, is baby receiving breast milk, is baby receiving breast milk exclusively, did baby receive breast milk since last visit, for how many months did baby receive breast milk for more than half of feedings, does baby eat any non-milk foods, and what non-milk foods does baby eat.
Name
genere
Description | Question | Decode (Coded Value)
Tipo di dati
Alias
Item Group
pht006794
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
Item
Consent group as determined by DAC
text
C0021430 (UMLS CUI [1,1])
C0441833 (UMLS CUI [1,2])
Code List
Consent group as determined by DAC
CL Item
Health/Medical/Biomedical (IRB, NPU) (HMB-IRB-NPU) (1)
SUBJECT_SOURCE
Item
Source repository where subjects originate
string
C3847505 (UMLS CUI [1,1])
C0449416 (UMLS CUI [1,2])
C0681850 (UMLS CUI [1,3])
SOURCE_SUBJECT_ID
Item
Subject ID used in the Source Repository
string
C2348585 (UMLS CUI [1,1])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])
STUDY
Item
Study ID of the Source Repository
string
C2826693 (UMLS CUI [1,1])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])
SUBJ_SOURCE2
Item
DbGaP study in which the subject is already declared
string
C2348568 (UMLS CUI [1,1])
SOURCE_SUBBJ_ID2
Item
Source ID within existing dbGaP study
string
C0449416 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])

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