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Biomarkers of Pulmonary Hypertension Are Altered in Children with Down Syndrome and Pulmonary Hypertension
Megan Griffiths1, Jun Yang2, Dhananjay Vaidya3
1Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University, Baltimore, MD; Department of Internal Medicine, Johns Hopkins University, Baltimore, MD.
Insights
Biomarker performance for pulmonary hypertension (PH) in children with Down syndrome varies. N-terminal pro hormone B-natriuretic peptide (NT-proBNP) and galectin-3 best distinguish PH, resolved PH, and no PH in this unique population.
Area of Science:
- Pediatric Cardiology
- Pulmonary Hypertension Research
- Genetics and Disease
Background:
- Down syndrome is an independent risk factor for pulmonary hypertension (PH).
- Biomarker performance in PH may differ in unique genetic populations like those with Down syndrome.
- Accurate PH diagnosis and prognosis are crucial in pediatric populations.
Purpose of the Study:
- To evaluate the diagnostic performance of serum biomarkers for pulmonary hypertension (PH) in children with Down syndrome.
- To identify the most effective biomarkers for distinguishing PH, resolved PH, and no PH in children with Down syndrome.
- To assess if established PH biomarkers require population-specific evaluation.
Main Methods:
- Measured serum levels of endostatin, ST2, galectin-3, NT-proBNP, IL-6, and HDGF in four groups: Down syndrome with PH, Down syndrome with resolved PH, Down syndrome without PH, and non-Down syndrome PH.
- Utilized a classification tree model to differentiate PH status within the Down syndrome cohort.
- Assessed the discriminative ability of each biomarker for PH in children with Down syndrome.
Main Results:
- Endostatin, galectin-3, HDGF, and ST2 were elevated in children with Down syndrome irrespective of PH status.
- NT-proBNP and IL-6 levels did not significantly differ between Down syndrome with PH and non-Down syndrome PH groups.
- A classification tree identified NT-proBNP and galectin-3 as the most effective markers for distinguishing PH, resolved PH, and no PH in children with Down syndrome.
Conclusions:
- Standard proteomic markers for PH can be altered in genetically unique populations, such as individuals with Down syndrome.
- Population-specific nomograms are essential for accurate interpretation of clinical biomarkers in diverse groups.
- Biomarker evaluation in specific populations like Down syndrome is crucial for improving PH diagnosis and prognosis.
Objective:
To evaluate the performance of pulmonary hypertension (PH) biomarkers in children with Down syndrome, an independent risk factor for PH, in whom biomarker performance may differ compared with other populations.
Study Design:
Serum endostatin, interleukin (IL)-1 receptor 1 (ST2), galectin-3, N-terminal pro hormone B-natriuretic peptide (NT-proBNP), IL-6, and hepatoma-derived growth factor (HDGF) were measured in subjects with Down syndrome and PH (n = 29), subjects with Down syndrome and resolved PH (n = 13), subjects with Down syndrome without PH (n = 49), and subjects without Down syndrome with World Symposium on Pulmonary Hypertension group I pulmonary arterial hypertension (no Down syndrome PH group; n = 173). Each biomarker was assessed to discriminate PH in Down syndrome. A classification tree was created to distinguish PH from resolved PH and no PH in children with Down syndrome.
Results:
Endostatin, galectin-3, HDGF, and ST2 were elevated in subjects with Down syndrome regardless of PH status. Not all markers differed between subjects with Down syndrome and PH and subjects with Down syndrome and resolved PH. NT-proBNP and IL-6 levels were similar in the Down syndrome with PH group and the no Down syndrome PH group. A classification tree identified NT-proBNP and galectin-3 as the best markers for sequentially distinguishing PH, resolved PH, and no PH in subjects with Down syndrome.
Conclusions:
Proteomic markers are used to improve the diagnosis and prognosis of PH but, as demonstrated here, can be altered in genetically unique populations such as individuals with Down syndrome. This further suggests that clinical biomarkers should be evaluated in unique groups with the development of population-specific nomograms.
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