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Related Experiment Video

Updated: May 29, 2026

Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification

Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification

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Peripheral blood gene expression profiles in COPD subjects.

Soumyaroop Bhattacharya¹, Shivraj Tyagi, Sorachai Srisuma

¹Neonatology Division and Center for Pediatric Biomedical Research, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, 14642, NY. Tom_Mariani@URMC.Rochester.edu.

Journal of Clinical Bioinformatics

|September 3, 2011

Summary

Researchers identified 16 gene expression markers in blood for chronic obstructive pulmonary disease (COPD). Two genes, RP9 and NAPE-PLD, were consistently down-regulated in both blood and lung tissue of COPD patients, offering potential non-invasive diagnostic insights.

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Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification

Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification

Published on: September 20, 2024

Area of Science:

Pulmonary Medicine
Genomics
Biomarker Discovery

Background:

Chronic Obstructive Pulmonary Disease (COPD) is a major respiratory illness with limited non-invasive diagnostic tools.
Gene expression profiling offers a promising avenue for identifying novel biomarkers.
Understanding peripheral blood gene expression changes in COPD is crucial for disease management.

Purpose of the Study:

To identify non-invasive gene expression markers for COPD in peripheral blood.
To correlate gene expression with lung function parameters.
To compare blood-based markers with previously identified lung tissue markers.

Main Methods:

Genome-wide expression profiling of peripheral blood mononuclear cells (PBMCs) from COPD patients and controls.
Utilized Affymetrix U133 Plus 2.0 arrays for gene expression assessment.
Applied statistical methods (SAM, BADGE, Pearson, Spearman correlation) to identify differentially expressed and correlated genes.

Main Results:

Identified 45 differentially expressed genes between COPD cases and controls.
Found 86 genes correlated with lung function measurements (FEV1, FEV1/FVC).
Discovered 16 genes showing both differential expression and correlation with lung function.
RP9 and NAPE-PLD were significantly down-regulated in both blood and lung tissue of COPD patients.

Conclusions:

Peripheral blood gene expression analysis can identify potential non-invasive biomarkers for COPD.
RP9 and NAPE-PLD represent promising candidates for further validation as COPD biomarkers.
These findings contribute to understanding COPD pathogenesis and may aid in early diagnosis.