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. 2015 Feb 20;128(4):520-7.
doi: 10.4103/0366-6999.151108.

Identification of biomarkers for endometriosis using clinical proteomics

Affiliations

Identification of biomarkers for endometriosis using clinical proteomics

Yang Zhao et al. Chin Med J (Engl). .

Abstract

Background: We investigated possible biomarkers for endometriosis (EM) using the ClinProt technique and proteomics methods.

Methods: We enrolled 50 patients with EM, 34 with benign ovarian neoplasms and 40 healthy volunteers in this study. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MS) combined with weak cationic exchange (WCX) magnetic beads. Possible biomarkers were analyzed by a random and repeat pattern model-validation method that we designed, and ClinProtools software, results were refined using online liquid chromatography-tandem MS.

Results: We found a cluster of 5 peptides (4210, 5264, 2660, 5635, and 5904 Da), using 3 peptides (4210, 5904, 2660 Da) to discriminate EM patients from healthy volunteers, with 96.67% sensitivity and 100% specificity. We selected 4210 and 5904 m/z, which differed most between patients with EM and controls, and identified them as fragments of ATP1B4, and the fibrinogen alpha (FGA) isoform 1/2 of the FGA chain precursor, respectively.

Conclusions: ClinProt can identify EM biomarkers, which - most notably - distinguish even early-stage or minimal disease. We found 5 stable peaks at 4210, 5264, 2660, 5635, and 5904 Da as potential EM biomarkers, the strongest of which were associated with ATP1B4 (4210 Da) and FGA (5904 Da); this indicates that ATP1B4 and FGA are associated with EM pathogenesis.

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Conflict of interest statement

Conflict of Interest: None declared.

Figures

Figure 1
Figure 1
Protein standard fingerprints in different experimental runs. (a) Six proteins in different experimental runs; (b) Entire standard fingerprint in different experimental runs. Blue: 1st run; red: 2nd run; green: 3rd run; purple: 4th run.
Figure 2
Figure 2
Distribution of endometriosis (EM) and control. X: EM samples; O: Control samples.
Figure 3
Figure 3
Differential protein peaks in typical samples, and in electrophoresis gel bands. Left: Differential protein peaks; red: Patient samples; green: Healthy controls; Right: Electrophoresis gel bands; Upper: Healthy controls; lower: Patients. (a) 2660 Da; (b) 4210 Da; (c) 5264 Da; (d) 5635 Da; and (e) 5904 Da.
Figure 4
Figure 4
Peptide mass fingerprinting of (a) 4210 m/z; (b) 5904 m/z; (c) 5264 m/z; (d) 5635 m/z; and (e) 2600 m/z.
Figure 5
Figure 5
Distribution and performance of serum peptide biomarker for (a) 4210 m/z and (b) 5904 m/z. Receiver operator characteristic of (c) 4210 m/z and (d) 5905 m/z distinguishes patients with endometriosis (EM) from healthy controls. Red: Controls; green: Patients with EM.

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