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Discovering endometriosis biomarkers with multiplex cytokine arrays.
Clin Proteomics 2019; 16:28CP

Abstract

Background

Chronic pelvic pain is often overlooked during primary examinations because of the numerous causes of such "vague" symptoms. However, this pain can often mask endometriosis, a smoldering disease that is not easily identified as a cause of the problem. As such, endometriosis has been shown to be a potentially long-term and often undiagnosed disease due to its vague symptoms and lack of any non-invasive testing technique. Only after more severe symptoms arise (severe pelvic pain, excessive vaginal bleeding, or infertility) is the disease finally uncovered by the attending physician. Due to the nature and complexity of endometriosis, high throughput approaches for investigating changes in protein levels may be useful for elucidating novel biomarkers of the disease and to provide clues to help understand its development and progression.

Methods

A large multiplex cytokine array which detects the expression levels of 260 proteins including cytokines, chemokines, growth factors, adhesion molecules, angiogenesis factors and other was used to probe biomarkers in plasma samples from endometriosis patients with the intent of detecting and/or understanding the cause of this disease. The protein levels were then analyzed using K-nearest neighbor and split-point score analysis.

Results

This technique identified a 14-marker cytokine profile with the area under the curve of 0.874 under a confidence interval of 0.81-0.94. Our training set further validated the panel for significance, specificity, and sensitivity to the disease samples.

Conclusions

These findings show the utility and reliability of multiplex arrays in deciphering new biomarker panels for disease detection and may offer clues for understanding this mysterious disease.

Authors+Show Affiliations

1RayBiotech, Inc, 3607 Parkway Lane, Peachtree Corners, GA 30092 USA.2Nezhat Medical Center, 5555 Peachtree Dunwoody Rd #276, Atlanta, GA 30342 USA.1RayBiotech, Inc, 3607 Parkway Lane, Peachtree Corners, GA 30092 USA.1RayBiotech, Inc, 3607 Parkway Lane, Peachtree Corners, GA 30092 USA.3Emory University, 201 Dowman Dr, Atlanta, GA 30322 USA.1RayBiotech, Inc, 3607 Parkway Lane, Peachtree Corners, GA 30092 USA. Guangzhou RayBiotech, 79 Ruihe Road, Huangpu District, Guangzhou, 510630 China. 5Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou Medical University, No. 232 Waihuan Dong Rd, Guangzhou University Town, Panyu District, Guangzhou, 510006 China. South China Biochip Research Center, 79 Ruihe Road, Huangpu District, Guangzhou, 510630 China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31333337

Citation

Weisheng, Bao, et al. "Discovering Endometriosis Biomarkers With Multiplex Cytokine Arrays." Clinical Proteomics, vol. 16, 2019, p. 28.
Weisheng B, Nezhat CH, Huang GF, et al. Discovering endometriosis biomarkers with multiplex cytokine arrays. Clin Proteomics. 2019;16:28.
Weisheng, B., Nezhat, C. H., Huang, G. F., Mao, Y. Q., Sidell, N., & Huang, R. P. (2019). Discovering endometriosis biomarkers with multiplex cytokine arrays. Clinical Proteomics, 16, p. 28. doi:10.1186/s12014-019-9248-y.
Weisheng B, et al. Discovering Endometriosis Biomarkers With Multiplex Cytokine Arrays. Clin Proteomics. 2019;16:28. PubMed PMID: 31333337.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discovering endometriosis biomarkers with multiplex cytokine arrays. AU - Weisheng,Bao, AU - Nezhat,Ceana H, AU - Huang,Gordon F, AU - Mao,Ying-Qing, AU - Sidell,Neil, AU - Huang,Ruo-Pan, Y1 - 2019/07/11/ PY - 2019/02/22/received PY - 2019/07/03/accepted PY - 2019/7/24/entrez PY - 2019/7/25/pubmed PY - 2019/7/25/medline KW - Arrays KW - Biomarkers KW - Cytokines KW - Endometriosis KW - Multiplex array SP - 28 EP - 28 JF - Clinical proteomics JO - Clin Proteomics VL - 16 N2 - Background: Chronic pelvic pain is often overlooked during primary examinations because of the numerous causes of such "vague" symptoms. However, this pain can often mask endometriosis, a smoldering disease that is not easily identified as a cause of the problem. As such, endometriosis has been shown to be a potentially long-term and often undiagnosed disease due to its vague symptoms and lack of any non-invasive testing technique. Only after more severe symptoms arise (severe pelvic pain, excessive vaginal bleeding, or infertility) is the disease finally uncovered by the attending physician. Due to the nature and complexity of endometriosis, high throughput approaches for investigating changes in protein levels may be useful for elucidating novel biomarkers of the disease and to provide clues to help understand its development and progression. Methods: A large multiplex cytokine array which detects the expression levels of 260 proteins including cytokines, chemokines, growth factors, adhesion molecules, angiogenesis factors and other was used to probe biomarkers in plasma samples from endometriosis patients with the intent of detecting and/or understanding the cause of this disease. The protein levels were then analyzed using K-nearest neighbor and split-point score analysis. Results: This technique identified a 14-marker cytokine profile with the area under the curve of 0.874 under a confidence interval of 0.81-0.94. Our training set further validated the panel for significance, specificity, and sensitivity to the disease samples. Conclusions: These findings show the utility and reliability of multiplex arrays in deciphering new biomarker panels for disease detection and may offer clues for understanding this mysterious disease. SN - 1542-6416 UR - https://www.unboundmedicine.com/medline/citation/31333337/Discovering_endometriosis_biomarkers_with_multiplex_cytokine_arrays L2 - https://clinicalproteomicsjournal.biomedcentral.com/articles/10.1186/s12014-019-9248-y DB - PRIME DP - Unbound Medicine ER -