| Literature DB >> 27439993 |
Anjum Anwar1, Gregoire Ruffenach2, Aman Mahajan2, Mansoureh Eghbali2, Soban Umar3.
Abstract
Pulmonary arterial hypertension is a deadly disease characterized by elevated pulmonary arterial pressures leading to right ventricular hypertrophy and failure. The confirmatory gold standard test is the invasive right heart catheterization. The disease course is monitored by pulmonary artery systolic pressure measurement via transthoracic echocardiography. A simple non-invasive test to frequently monitor the patients is much needed. Search for a novel biomarker that can be detected by a simple test is ongoing and many different options are being studied. Here we review some of the new and unique pre-clinical options for potential pulmonary hypertension biomarkers. These biomarkers can be broadly categorized based on their association with endothelial cell dysfunction, inflammation, epigenetics, cardiac function, oxidative stress, metabolism,extracellular matrix, and volatile compounds in exhaled breath condensate. A biomarker that can be detected in blood, urine or breath condensate and correlates with disease severity, progression and response to therapy may result in significant cost reduction and improved patient outcomes.Entities:
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Year: 2016 PMID: 27439993 PMCID: PMC4955255 DOI: 10.1186/s12931-016-0396-6
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
A comprehensive table showing the different groups of biomarkers discussed in this review along with the number of subjects, major findings and limitations of the individual studies
| Biomarkers | Subjects | Major finding/limitations | |
|---|---|---|---|
| Endothelial cell Markers | ADMA | PAH (35) | Increased serum concentration in PAH correlated significantly with mPAP and PVR [ |
| CTR (35) | |||
| PAH-CHD (30) | No correlation between the significantly increased ADMA concentration in PAHCHD patients and hemodynamic parameters [ | ||
| CHD (20) | |||
| CTR (20) | |||
| Circulating angiogenic modulatory factors | PAH (97) | Serum concentrations of sEng, sVEGFR1 and CRP were all elevated in PAH patients with sEng having the greatest predictive value for PAH. sEng and CRP were determined to be the most sensitive independent markers for predicting survival [ | |
| CTR (56) | |||
| PCEB-ACE | iPAH (25) | These new techniques allow for the assessment of endothelial function in vivo, but these are currently only for research purposes [ | |
| PAH-CTD (19) | |||
| CTR (23) | |||
| Inflammatory markers | GDF-15 | PAH-naïve (76) | Significant upregulation in PAH correlated with mean RAP. Plasma concentrations > 1200 ng.L-1 increased the risk of death [ |
| PAH-treated (22) | |||
| Galectin-3 | PAH (15) | Significantly increased in serum of PAH patients which correlated with RV hemodynamics [ | |
| CTR (10) | |||
| OPN | iPAH (70) | Increased plasma concentration in PAH correlated with NYHA functional class. 4 year survival rate increased in concentrations < 34.5 ng.mL-1 [ | |
| CTR (40) | |||
| MIF | Ssc-PAH (15) | Circulating concentration is significantly increased in Ssc-PAH vs. Ssc and correlated with NYHA functional class [ | |
| Ssc (14) | |||
| NLR | PAH ( | Significant correlation with NYHA functional class and mortality; but not an independent predictor of mortality [ | |
| Serum BCL-2 | Child-PH (35) | Increased sBCL-2 concentration correlated with NYHA functional class [ | |
| CTR (38) | |||
| miR | iPAH (12) | Lists circulating miR that are differentially expressed in PAH vs. control [ | |
| CTR (10) | |||
| Heart function | BNP/NTproBNP and RDW | iPAH (139) | Plasma NT-proBNP is significantly correlated with PVR, CI, and mean RAP. RDW predicted survival independently from NTproBNP and the 6MWD test [ |
| CTR (40) | |||
| Cystatin C | PAH (14) | Significantly correlates with cardiac and hemodynamic parameters [ | |
| CTR (10) | |||
| Homocysteine | PAH-CHD (30) | Significant increasein PAH-CHD compared to other groups but no hemodynamic correlation was found [ | |
| CHD (20) | |||
| CTR (20) | |||
| Cardiac troponin | PAH (167) | Increased concentration of cardiac troponin correlates with mortality [ | |
| New cardiovascular biomarkers | MRproADM | HF (728) | Significant correlation between increased plasma concentration of MRproADM and mortality [ |
| CT-proET1 | PAH (28) | Blood concentration increased with WHO functional class and correlated with mortality [ | |
| Copeptin | PAH (92) | Expression correlated with survival and disease severity [ | |
| dCTR (39) | |||
| hCTR (14) | |||
| Oxidative stress | F2-Isoprostanes | PAH (110) | Patients with urine concentration above the median have an increased risk of death [ |
| Oxidized lipids | PAH (28) | Significantly increased in serum of PAH patients vs. control [ | |
| CTR (21) | |||
| GSH | PAH (12) | Significantly decreased in plasma of PAH patients [ | |
| CTR (12) | |||
| Metabolic biomarkers | Fisher ratio | PH (140) | Decreases with PH severity. Most measured amino acid levels were significantly higher in patients with PAH [ |
| CTR (140) | |||
| Tryptophan metabolites | PAH (35) | Anthranilate and Quinolinate were increased with PVR above 2 [ | |
| CTR (36) | |||
| Gherlin | PAH (20) | Plasma levels were significantly increased in PAH and correlated with PASP [ | |
| CTR (20) | |||
| ECM | MMP-2 TIMP-4 | PAH (36) | All three proteins were significantly increased in plasma of PAH patients but did not distinguish between functional classes [ |
| TNC | CTR (44) | ||
| Volatile compounds | PAH (27) | May allow the detection of PAH specific volatile compounds [ | |
| CTR (30) |
Fig. 1Schematic diagram showing different groups of biomarkers for pulmonary hypertension including markers related to inflammation, heart function, epigenetics, oxidative stress, endothelial function, metabolism, volatile compounds, and extracellular matrix