Evaluation of novel serum biomarkers and the proteomic differences of endometriosis and adenomyosis using MALDI-TOF–MS

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This study used MALDI-TOF–MS to identify 13 protein peaks in endometriosis and 12 in adenomyosis serum compared to controls, finding five downregulated in both, but noted difficulty in separating the diseases.

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This study evaluated whether serum biomarkers and protein fingerprint differences detected by MALDI-TOF–MS could distinguish endometriosis and adenomyosis, and assessed protein-level correlation between the two diseases. Serum samples from patients with endometriosis or adenomyosis were compared with control groups to identify abnormally expressed protein peaks, and diagnostic models were built both separately for each disease and as a combined model. The authors found 13 differential protein peaks for endometriosis and 12 for adenomyosis versus controls, with a five-peak mass pattern downregulated in both conditions (P < 0.05), and reported that the combined diagnostic model had lower sensitivity and specificity than separate models. The paper concludes that MALDI-TOF–MS is important for screening candidate biomarkers, but that endometriosis and adenomyosis are difficult to separate using the serum biomarkers/protein fingerprints. This paper is centrally about endometriosis and adenomyosis—specifically, identifying MALDI-TOF–MS serum protein biomarker peaks and comparing their protein-fingerprint patterns.

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Abstract

Background Both endometriosis and adenomyosis are common benign gynecological diseases. This study aimed to find the novel noninvasive, biochemical diagnostic markers for detection of endometriosis and adenomyosis, and evaluate the correlation of these two diseases at the protein level.

Methods

Serum samples from patients with endometriosis or adenomyosis were compared with control groups to detect specific serum biomarkers and to explore the different protein fingerprint of endometriosis and adenomyosis using MALDI-TOF–MS. Result(s) There were 13 protein peaks abnormally expressed in endometriosis as well as twelve in adenomyosis compared with control groups (P < 0.05). And five-peak mass was found downregulated significantly both in the women with endometriosis and adenomyosis. The common diagnostic model of endometriosis and adenomyosis we set up had a lower sensitivity and specificity than the separate diagnostic model of these two diseases. Conclusion(s) MALDI-TOF–MS technology plays an important role in screening the diagnostic biomarkers of endometriosis and adenomyosis. And our study found the correlation between endometriosis and adenomyosis in protein fingerprint and it is hard to separate the endometriosis from adenomyosis with the serum biomarkers. Similar content being viewed by others

References

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Condition tags

endometriosisadenomyosis

MeSH descriptors

Adenomyosis Blood Proteins Endometriosis Adenomyosis Adenomyosis Adult Biomarkers Biomarkers Blood Chemical Analysis Blood Proteins Case-Control Studies Endometriosis Endometriosis Female Humans Proteomics Sensitivity and Specificity Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Young Adult

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