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Genetic Regulation of Surfactant Deficiency

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The Washington University

Status

Completed

Conditions

Respiratory Distress Syndrome, Newborn

Treatments

Drug: Nutrient

Study type

Observational

Funder types

Other
NIH

Identifiers

NCT00828243
R01HL082747 (U.S. NIH Grant/Contract)
07-0156

Details and patient eligibility

About

Inherited deficiencies in any one of 3 genes (surfactant protein B, surfactant protein C, and ATP-binding cassette transporter A3) can cause neonatal respiratory distress syndrome by disrupting metabolism of the pulmonary surfactant. The investigators will use state of the art methods to link specific changes in the genetic code of each of these genes with disruption of discrete steps in the metabolism of the pulmonary surfactant in human newborn infants. These studies will lead to improved diagnostic capabilities and suggest novel strategies to correct surfactant deficiency in newborn infants.

Full description

Genetic regulation of neonatal pulmonary surfactant deficiency has been suggested by studies of gender, genetic linkage, recurrent familial cases, targeted gene ablation in murine lineages, and by racial disparity in risk of neonatal respiratory distress syndrome. Successful fetal-neonatal pulmonary transition requires production of the pulmonary surfactant, a phospholipid-protein film that lines alveoli and maintains alveolar patency at end expiration. Our goal is to understand the genetic mechanisms that disrupt pulmonary surfactant metabolism and cause neonatal respiratory distress syndrome. Studies in human newborn infants have demonstrated that 3 genes are critical for surfactant metabolism: surfactant protein B (SFTPB), surfactant protein C (SFTPC), and an ATP-binding cassette transporter, ABCA3 (ABCA3). To understand genetic regulatory mechanisms, we will investigate the contribution of variation in each of these genes to risk of neonatal respiratory distress syndrome by testing the hypothesis that genetic variants in the SFTPB, SFTPC, and ABCA3 disrupt pulmonary surfactant metabolism. Using high throughput automated sequencing to genotype, multidimensional protein identification technology to assess quantitative and qualitative differences in surfactant protein B and C expression, in vivo metabolic labeling with stable isotopically labeled precursors to estimate surfactant protein B and C and phospholipid metabolic rates, and cohort sizes that provide statistical power (0.8), we will use race-specific, severity-stratified case-control (N=480) and case comparison (N=250) designs to understand genetically regulated, metabolic mechanisms that cause surfactant deficiency by disrupting expression or altering processing of surfactant proteins B or C or by disrupting surfactant phospholipid composition in human newborn infants. Improved understanding of genetic regulation of surfactant deficiency will suggest novel diagnostic strategies to identify and categorize high risk infants and therapeutic strategies that target discrete steps in pulmonary surfactant metabolism to improve outcomes of infants with neonatal respiratory distress syndrome.

Enrollment

525 patients

Sex

All

Ages

1 day to 6 months old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Newborn infants with respiratory distress syndrome who require mechanical ventilation via endotracheal tube or tracheostomy in the first 6 months of life

Exclusion criteria

  • Infants with conditions likely to cause imminent death

Trial design

525 participants in 2 patient groups

Genetic association
Description:
Infants with and without neonatal respiratory distress syndrome undergo surfactant gene sequencing to identify genomic variants associated with neonatal respiratory distress syndrome
Nutrient
Description:
To newborn infants with respiratory distress syndrome, we administer stable isotopically labeled nutrients (precursors of surfactant phospholipids or proteins) to permit mass spectrometry-based comparison of surfactant phospholipid and protein turnover.
Treatment:
Drug: Nutrient

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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