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Identification of biomarkers for endometriosis using clinical proteomics.

Zhao Y, Liu YN, Li Y, Tian L, Ye X, Cui H, Chang XH - Chin. Med. J. (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Gynecology Oncology Center, Peking University People's Hospital, Beijing 100044, China.

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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Related in: MedlinePlus

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.
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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.

Mentions: After testing with the random repeat-validation self-determination system, the stable differential protein peaks were for 4210, 5264, 2660, 5635, and 5904 Da [Figure 3]. The 5635 Da peak distinguished patients with Stage I–II EM from healthy controls very well. Peak intensity of some proteins was transformed with greater disease stage: 2660 Da, 5264 Da, 5635 Da, 5904 Da gradually increased and 4210Da decreased compared with normal. This pattern implies that those proteins affect disease development.


Identification of biomarkers for endometriosis using clinical proteomics.

Zhao Y, Liu YN, Li Y, Tian L, Ye X, Cui H, Chang XH - Chin. Med. J. (2015)

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.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4836258&req=5

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.
Mentions: After testing with the random repeat-validation self-determination system, the stable differential protein peaks were for 4210, 5264, 2660, 5635, and 5904 Da [Figure 3]. The 5635 Da peak distinguished patients with Stage I–II EM from healthy controls very well. Peak intensity of some proteins was transformed with greater disease stage: 2660 Da, 5264 Da, 5635 Da, 5904 Da gradually increased and 4210Da decreased compared with normal. This pattern implies that those proteins affect disease development.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Gynecology Oncology Center, Peking University People's Hospital, Beijing 100044, China.

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.

Show MeSH
Related in: MedlinePlus