Proteomic-Based Detection of a Protein Cluster Dysregulated during Cardiovascular Development Identifies Biomarkers of Congenital Heart Defects
2009

Identifying Protein Biomarkers for Congenital Heart Defects

Sample size: 33 publication 10 minutes Evidence: moderate

Author Information

Author(s): Nath Anjali K., Krauthammer Michael, Li Puyao, Davidov Eugene, Butler Lucas C., Copel Joshua, Katajamaa Mikko, Oresic Matej, Buhimschi Irina, Buhimschi Catalin, Snyder Michael, Madri Joseph A.

Primary Institution: Yale University

Hypothesis

Proteins involved in cardiac development and congenital heart defects can be isolated and characterized from vascular tissue.

Conclusion

The study identifies WNT16, ST14, and Pcsk1 as potential biomarkers for congenital heart defects, suggesting their role in the etiology of these conditions.

Supporting Evidence

  • WNT16, ST14, and Pcsk1 levels were significantly higher in the amniotic fluid of women carrying fetuses with congenital heart defects.
  • Statistical analysis showed that these proteins could correctly classify cases with congenital heart defects in up to 89% of instances.
  • Mass spectrometry identified 143 peptide peaks dysregulated by hyperglycemia, which were linked to cardiac development.

Takeaway

Researchers found certain proteins that can help predict heart problems in babies before they are born, which could lead to better treatments.

Methodology

Murine embryos were exposed to high glucose, and mass spectrometry was used to identify differentially expressed proteins, which were validated in human amniotic fluid samples.

Potential Biases

Potential biases may arise from the selection of samples and the reliance on specific protein detection methods.

Limitations

The study's findings need further validation in larger cohorts to confirm the specificity and sensitivity of the identified biomarkers.

Participant Demographics

Amniotic fluid samples were obtained from 17 women carrying fetuses with congenital heart defects and 16 women with normal fetuses.

Statistical Information

P-Value

p<0.01 for CHST3

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0004221

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