From: Serum proteome profiling reveals HGFA as a candidate biomarker for pulmonary arterial hypertension
 | iTRAQ | ELISA | ||||
---|---|---|---|---|---|---|
Control | PAH | P | Control | PAH | P | |
N | 9 | 9 | Â | 28 | 28 | Â |
Age, years | 39.1 ± 10.5 | 39.3 ± 16.9 | 0.97 | 42.5 (35.3, 51.5) | 39.0 (29.3, 60.5) | 0.90 |
Female | 6 (66.7%) | 6 (66.7%) | 1.00 | 22 (78.5%) | 22 (78.5%) | 1.00 |
BMI, kg•m−2 | – | 23.6 ± 3.6 |  | – | 22.9 ± 2.5 |  |
Comorbidity | ||||||
CHD | 0 | 0 | Â | 0 | 4 | Â |
Hypertension | 0 | 1 | Â | 0 | 9 | Â |
Lung disease | 0 | 0 | Â | 0 | 6 | Â |
Sleep disorder | 0 | 2 | Â | 0 | 1 | Â |
Diabetes mellitus | 0 | 0 | Â | 0 | 2 | Â |
Renal insufficiency | 0 | 1 | Â | 0 | 4 | Â |
Malignant tumor | 0 | 0 | Â | 0 | 1 | Â |
6MWD, m | – | 340.3 ± 91.8 |  | – | 404.6 ± 102.5 |  |
WHO functional class | ||||||
 I | – | 0 (0%) |  | – | 2 (7.1%) |  |
 II | – | 7 (77.8%) |  | – | 13 (46.4%) |  |
 III | – | 2 (22.2%) |  | – | 12 (42.9%) |  |
 IV | – | 0 (0%) |  | – | 1 (3.6%) |  |
Risk stratification | ||||||
 Low risk | – | 1 (11.1%) |  | – | 5 (17.9%) |  |
 Intermediate risk | – | 6 (66.7%) |  | – | 19 (67.9%) |  |
 High risk | – | 2 (22.2%) |  | – | 4 (14.3%) |  |
Hemodynamics | ||||||
 mPAP, mmHg | – | 54.0 (42.0, 90.5) |  | – | 47.2 ± 15.4 |  |
 PVR, dyn•s•cm−5 | – | 1324.4 ± 721.2 |  | – | 746.4 ± 435.1 |  |
 CI, L/min | – | 2.3 ± 0.6 |  | – | 2.1 (1.8, 2.5) |  |
 NT-proBNP, ng/mL | – | 1,063.1 ± 702.1 |  | – | 592.4 (179.0, 1,990.5) |  |
Echocardiography | ||||||
 sPAP, mmHg | – | 84.0 ± 21.5 |  | – | 78.0 ± 27.5 |  |
 TAPSE, mm | – | 15.0 (13.4, 15.0) |  | – | 16.5 (14.0, 20.8) |  |
 TAPSE/sPAP, mm/mmHg | – | 0.18 ± 0.07 |  | – | 0.24 ± 0.12 |  |
Tarteted therapy | ||||||
 sGC | – | 0 (0.0%) |  | – | 4 (14.3%) |  |
 ERA | – | 3 (33.3%) |  | – | 18 (64.3%) |  |
 PDE5i | – | 5 (55.6%) |  | – | 18 (64.3%) |  |
 CCBs | – | 2 (22.2%) |  | – | 2 (7.1%) |  |
 Monotherapy | – | 2 (22.2%) |  | – | 10 (35.7%) |  |
 Combination therapy | – | 4 (44.4%) |  | – | 15 (53.6%) |  |