Multiplex immunoassays in endometriosis  An array of possibilities

Dorien, F O; Aalamat, Yousef El; Waelkens, Etienne; Moor, Bart De; D’Hooghe, Thomas; Fassbender, Amelie

doi:10.2741/4496

Cited by 14 publications

(2 citation statements)

References 63 publications

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“…Recently, Aalamat et al . published a systematic review on the use of multiplex technology for identification of potential novel biomarkers of endometriosis among inflammation associated proteins 42 . They reported that the majority of studies that adapted multiplex technology evaluated potential novel biomarkers of endometriosis in peritoneal fluid 20,31,43–47 .…”

Section: Discussionmentioning

confidence: 99%

Multiplex analysis of 40 cytokines do not allow separation between endometriosis patients and controls

Knific

Fishman

Vogler

et al. 2019

Sci Rep

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Endometriosis is a common gynaecological condition characterized by severe pelvic pain and/or infertility. The combination of nonspecific symptoms and invasive laparoscopic diagnostics have prompted researchers to evaluate potential biomarkers that would enable a non-invasive diagnosis of endometriosis. Endometriosis is an inflammatory disease thus different cytokines represent potential diagnostic biomarkers. As panels of biomarkers are expected to enable better separation between patients and controls we evaluated 40 different cytokines in plasma samples of 210 patients (116 patients with endometriosis; 94 controls) from two medical centres (Slovenian, Austrian). Results of the univariate statistical analysis showed no differences in concentrations of the measured cytokines between patients and controls, confirmed by principal component analysis showing no clear separation amongst these two groups. In order to validate the hypothesis of a more profound (non-linear) differentiating dependency between features, machine learning methods were used. We trained four common machine learning algorithms (decision tree, linear model, k-nearest neighbour, random forest) on data from plasma levels of proteins and patients’ clinical data. The constructed models, however, did not separate patients with endometriosis from the controls with sufficient sensitivity and specificity. This study thus indicates that plasma levels of the selected cytokines have limited potential for diagnosis of endometriosis.

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Section: Discussionmentioning

confidence: 99%

Multiplex analysis of 40 cytokines do not allow separation between endometriosis patients and controls

Knific

Fishman

Vogler

et al. 2019

Sci Rep

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“…And, with the development of new omics technology and multiple immunoassay techniques, more valuable biomarker panels may be discovered in the near future. [ 59 ]…”

Section: Perspective and Conclusionmentioning

confidence: 99%

Current biomarkers for the detection of endometriosis

Tian

Chang

Zhao

et al. 2020

Chinese Medical Journal

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A clinically reliable non-invasive test for endometriosis is expected to reduce the diagnostic delay. Although varieties of biomarkers have been investigated for decades, and cancer antigen-125, cancer antigen-199, interleukin-6, and urocortin were the most studied ones among hundreds of biomarkers, no clinically reliable biomarkers have been confirmed so far. Some emerging technologies including “omics” technologies, molecular imaging techniques, and microRNAs are promising in solving these challenges, but their utility to detect endometriosis has yet to be verified. New combinations of researched indicators or other non-invasive methods and further exploration of the emerging technologies may be new targets and future research hotspots for non-invasive diagnosis of endometriosis. In conclusion, researches of biomarkers for the detection of endometriosis are still ongoing and may benefit from novel molecular biology, bioinformatics methods and a combination of more diverse monitoring methods. Though it will be a daunting task, the identification of a specific set of diagnostic biomarkers will undoubtedly improve the status of endometriosis.

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