scholarly journals Microarray analysis in pulmonary hypertension

2016 ◽  
Vol 48 (1) ◽  
pp. 229-241 ◽  
Author(s):  
Julia Hoffmann ◽  
Jochen Wilhelm ◽  
Andrea Olschewski ◽  
Grazyna Kwapiszewska

Microarrays are a powerful and effective tool that allows the detection of genome-wide gene expression differences between controls and disease conditions. They have been broadly applied to investigate the pathobiology of diverse forms of pulmonary hypertension, namely group 1, including patients with idiopathic pulmonary arterial hypertension, and group 3, including pulmonary hypertension associated with chronic lung diseases such as chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. To date, numerous human microarray studies have been conducted to analyse global (lung homogenate samples), compartment-specific (laser capture microdissection), cell type-specific (isolated primary cells) and circulating cell (peripheral blood) expression profiles. Combined, they provide important information on development, progression and the end-stage disease. In the future, system biology approaches, expression of noncoding RNAs that regulate coding RNAs, and direct comparison between animal models and human disease might be of importance.

2012 ◽  
Vol 31 (4) ◽  
pp. 373-380 ◽  
Author(s):  
Kasper Hasseriis Andersen ◽  
Martin Iversen ◽  
Jesper Kjaergaard ◽  
Jann Mortensen ◽  
Jens Erik Nielsen-Kudsk ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243065 ◽  
Author(s):  
Gagandeep Kaur ◽  
Kameshwar Singh ◽  
Krishna P. Maremanda ◽  
Dongmei Li ◽  
Hitendra S. Chand ◽  
...  

Long non-coding RNAs (lncRNAs) are the varied set of transcripts that play a critical role in biological processes like gene regulation, transcription, post-transcriptional modification, and chromatin remodeling. Recent studies have reported the presence of lncRNAs in the exosomes that are involved in regulating cell-to-cell communication in lung pathologies including lung cancer, chronic obstructive pulmonary disease (COPD), asthma, and idiopathic pulmonary fibrosis (IPF). In this study, we compared the lncRNA profiles in the plasma-derived exosomes amongst non-smokers (NS), cigarette smokers (CS), E-cig users (E-cig), waterpipe smokers (WP) and dual smokers (CSWP) using GeneChip™ WT Pico kit for transcriptional profiling. We found alterations in a distinct set of lncRNAs among subjects exposed to E-cig vapor, cigarette smoke, waterpipe smoke and dual smoke with some overlaps. Gene enrichment analyses of the differentially expressed lncRNAs demonstrated enrichment in the lncRNAs involved in crucial biological processes including steroid metabolism, cell differentiation and proliferation. Thus, the characterized lncRNA profiles of the plasma-derived exosomes from smokers, vapers, waterpipe users, and dual smokers will help identify the biomarkers relevant to chronic lung diseases such as COPD, asthma or IPF.


2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Jie Yang ◽  
Chuanmei Liu ◽  
Lingling Li ◽  
Xiongwen Tu ◽  
Zhiwei Lu

Purpose. This study aims at investigating the predictive value of red blood cell distribution width (RDW) in pulmonary hypertension (PH) secondary to chronic obstructive pulmonary disease (COPD). Methods. 213 eligible in-hospital COPD patients were reviewed between May 2016 and May 2018, including 39 cases with PH and 174 without PH. Clinical data including demographic characteristics, comorbidities, and results of ultrasound scans, imaging examinations, and laboratory tests were recorded. Results. Increased RDW level was observed in COPD patients with PH compared with COPD patients without PH, with 15.10 ± 1.72% versus 13.70 ± 1.03%, respectively (p<0.001). RDW shared positive relationships with brain natriuretic peptide (BNP) (p=0.001, r = 0.513), pulmonary artery (PA) systolic pressure (p=0.014, r = 0.390), and PA-to-ascending aorta (A) ratio (PA : A) (p=0.001, r = 0.502). Multivariate analysis indicated that RDW, BNP, and PA : A > 1 were the independent risk factors of PH secondary to COPD (p<0.05). The AUC of the RDW in patients with PH was 0.749 ± 0.054 (p<0.001). The optimal cutoff value of RDW for predicting PH was 14.65, with a sensitivity and a specificity value of 69.2% and 82.8%, respectively. Conclusion. RDW is significantly increased in COPD patients with PH and thus may be a useful biomarker for PH secondary to COPD.


Respiration ◽  
1985 ◽  
Vol 47 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Marco Soroldoni ◽  
Fulvia Ferrarini ◽  
Enrico Biffi ◽  
Marzio Pozzi ◽  
Roberto Gatto ◽  
...  

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