Back

Early Tracheal and Salivary miRNAs in Extremely Preterm Infants Predict BPD-related Pulmonary Hypertension

Li, T.; Zhang, S.; Aluquin, V.; Donnelly, A.; Stephens, H.; Sharma, S.; Hicks, S. D.; Liu, D.; Austin, E.; Siddaiah, R.

2026-06-23 bioinformatics
10.64898/2026.06.17.732493 bioRxiv
Show abstract

Pulmonary hypertension (BPD-PH) associated with bronchopulmonary dysplasia (BPD) in preterm infants associates with high morbidity and mortality within the first two years of life. In a previous unbiased study, we identified a panel miRNAs in tracheal aspirates (TA) that were differentially expressed in extremely low gestational age newborns (ELGANs) with BPD-PH compared to those with BPD but no PH. To explore the predictive potential of these miRNAs, we studied TA exosomes from 7 days old ELGANs and analysed a curated panel of 16 miRNAs through logistic regression and calculated the predictive AUROC to diagnose BPD-PH at 36 weeks PMA. AUROC of TA miRNAs was 0.76 with sensitivity and specificity of 53% and 93%, respectively. Adding sex and gestational age to the variables improved the AUROC to 0.78 with sensitivity and specificity of 61 and 87% respectively. Due to challenges of obtaining TA in non-invasively ventilated infants, we collected saliva samples from ELGANs at 7 days of age and compared the log expression of these 16 miRNAs in both biofluids and found significant correlation in their expression (pearson r=0.92, p<0.001). We calculated the predictive AUROC of the same miRNAs to diagnose BPD-PH at 36 weeks PMA. AUROC of these miRNAs in saliva was = 0.85 with sensitivity and specificity of 82% and 72%, respectively; addition of biological sex and gestational age improved AUROC to 0.86 with sensitivity and specificity of 79% and 76% respectively. Leave-one-sample-out sensitivity analysis demonstrated stable training performance with reduced performance in testing samples, supporting the need for validation in larger independent cohorts. In conclusion, early salivary miRNAs have great potential for risk stratification of ELGANs to develop BPD-PH, while also providing the opportunity to identify target molecules and mechanisms that modulate molecular function.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
American Journal of Respiratory and Critical Care Medicine
43 papers in training set
Top 0.1%
13.1%
2
PLOS ONE
5266 papers in training set
Top 18%
10.0%
3
Scientific Reports
3612 papers in training set
Top 9%
7.0%
4
European Respiratory Journal
59 papers in training set
Top 0.1%
6.5%
5
BMC Medical Genomics
50 papers in training set
Top 0.1%
5.7%
6
Frontiers in Immunology
638 papers in training set
Top 3%
4.2%
7
Pediatric Research
21 papers in training set
Top 0.1%
2.8%
8
Nature Communications
5641 papers in training set
Top 38%
2.7%
50% of probability mass above
9
eBioMedicine
183 papers in training set
Top 2%
1.8%
10
International Journal of Molecular Sciences
494 papers in training set
Top 7%
1.7%
11
American Journal of Physiology-Lung Cellular and Molecular Physiology
43 papers in training set
Top 0.4%
1.7%
12
American Journal of Respiratory Cell and Molecular Biology
43 papers in training set
Top 0.5%
1.6%
13
BMC Genomics
406 papers in training set
Top 5%
1.4%
14
Molecular Therapy - Nucleic Acids
25 papers in training set
Top 0.4%
1.4%
15
Frontiers in Pediatrics
32 papers in training set
Top 0.6%
1.4%
16
BioData Mining
22 papers in training set
Top 0.4%
1.4%
17
The Journal of Infectious Diseases
202 papers in training set
Top 3%
1.4%
18
Diagnostics
50 papers in training set
Top 2%
1.2%
19
JCI Insight
277 papers in training set
Top 6%
1.1%
20
Respiratory Research
21 papers in training set
Top 0.4%
1.0%
21
Genes
144 papers in training set
Top 4%
0.9%
22
Journal of the American Heart Association
140 papers in training set
Top 3%
0.9%
23
iScience
1154 papers in training set
Top 33%
0.9%
24
Journal of Clinical Medicine
97 papers in training set
Top 4%
0.9%
25
ACS Omega
105 papers in training set
Top 3%
0.9%
26
Science Advances
1243 papers in training set
Top 29%
0.9%
27
CHEST
14 papers in training set
Top 0.3%
0.9%
28
Genome Medicine
183 papers in training set
Top 6%
0.6%
29
Journal of Cachexia, Sarcopenia and Muscle
33 papers in training set
Top 0.7%
0.5%
30
Mucosal Immunology
47 papers in training set
Top 1%
0.5%