Limits...
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.

Show MeSH

Related in: MedlinePlus

Distribution of endometriosis (EM) and control. X: EM samples; O: Control samples.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4836258&req=5

Figure 2: Distribution of endometriosis (EM) and control. X: EM samples; O: Control samples.

Mentions: First, we constructed models from ClinProtools analyses of 30 EM patients and 20 controls, and then we used another 20 patients and 20 controls to test the model. We found many differentially expressed proteins [Figure 2], which scored high in the cross test, which indicates a very stable model [Table 1]. From the four table analysis, sensitivity and specificity were 92.0% and 97.5%, respectively. Positive and negative prediction rates were 97.8% and 90.70%, respectively. However, as we found no differentially expressed proteins when we used 30 EM patients and 20 benign controls to construct models [Table 2], we tried to establish whether patients with early-stage EM and healthy controls showed differentially expressed proteins.


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)

Distribution of endometriosis (EM) and control. X: EM samples; O: Control samples.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 2: Distribution of endometriosis (EM) and control. X: EM samples; O: Control samples.
Mentions: First, we constructed models from ClinProtools analyses of 30 EM patients and 20 controls, and then we used another 20 patients and 20 controls to test the model. We found many differentially expressed proteins [Figure 2], which scored high in the cross test, which indicates a very stable model [Table 1]. From the four table analysis, sensitivity and specificity were 92.0% and 97.5%, respectively. Positive and negative prediction rates were 97.8% and 90.70%, respectively. However, as we found no differentially expressed proteins when we used 30 EM patients and 20 benign controls to construct models [Table 2], we tried to establish whether patients with early-stage EM and healthy controls showed differentially expressed proteins.

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