Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis

Fassbender, Amelie; Waelkens, Etienne; Verbeeck, Nico; Kyama, Cleophas; Bokor, Attila; Vodolazkaia, Alexandra; Plas, Raf Van de; Meuleman, Christel; Peeraer, Karen; Tomassetti, Carla; Gevaert, Olivier; Ojeda, Fabian; Moor, Bart De; D’Hooghe, Thomas

doi:10.1097/aog.0b013e31823fda8d

Cited by 42 publications

(26 citation statements)

References 29 publications

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“…The control group was composed of 36 healthy women aged 26-45 years, who underwent routine diagnostic laparoscopy for tubal sterilization and, after discarding the presence of endometriosis, were included in the healthy individuals cohort. Menstrual cycle phases (MCPs) were classified as follicular phase (cycle days [1][2][3][4][5][6][7][8][9][10][11][12][13][14] or luteal phase (cycle days 15-28) after adjustment to a 28-day cycle. Women with previous history of endometriosis or other gynecologic diseases, including fibroids, other ovarian cysts, or pelvic inflammatory disease were excluded from the study.…”

Section: Study Design and Subjectsmentioning

confidence: 99%

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Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Vicente-Muñoz

Morcillo

Puchades‐Carrasco

et al. 2015

Fertility and Sterility

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Section: Study Design and Subjectsmentioning

confidence: 99%

“…The wide range of clinical manifestations complicates the diagnosis of endometriosis based on symptoms or clinical examination. Furthermore, available imaging techniques and blood tests have limited value as diagnostic tools (4). The compounding effects of all these factors contribute to diagnostic delays of an average of 8 years (5).…”

mentioning

confidence: 99%

Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Vicente-Muñoz

Morcillo

Puchades‐Carrasco

et al. 2015

Fertility and Sterility

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“…The bigger challenge is the analysis of the diverse microenvironments since they not only contain proteins of interest, but also growth factors, inflammatory factors, different cells, and several biological molecules. This is a limitation in proteomics as the samples have very high concentration of plasma proteins such as albumin that should be removed in order to determine the protein content of plasma related to endometriosis [47]. Another limitation is the retrieval of adequate amount of the sample and hence the need for techniques with high specificity and sensitivity to measure small amounts of proteins [48].…”

Section: Power Of Proteomics In Studies Of Female Infertilitymentioning

confidence: 99%

“…This disease is benign and its development is primarily estrogen-dependent [47]. The manifested symptoms of endometriosis are most commonly pelvic pain and infertility as the lesions develop and establish within the peritoneal region.…”

Section: Proteomic Profiles Of Females With Endometriosismentioning

confidence: 99%

Power of Proteomics in Linking Oxidative Stress and Female Infertility

Gupta

Ghulmiyyah

Sharma

et al. 2014

BioMed Research International

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Endometriosis, PCOS, and unexplained infertility are currently the most common diseases rendering large numbers of women infertile worldwide. Oxidative stress, due to its deleterious effects on proteins and nucleic acids, is postulated to be the one of the important mechanistic pathways in differential expression of proteins and in these diseases. The emerging field of proteomics has allowed identification of proteins involved in cell cycle, as antioxidants, extracellular matrix (ECM), cytoskeleton, and their linkage to oxidative stress in female infertility related diseases. The aim of this paper is to assess the association of oxidative stress and protein expression in the reproductive microenvironments such as endometrial fluid, peritoneal fluid, and follicular fluid, as well as reproductive tissues and serum. The review also highlights the literature that proposes the use of the fertility related proteins as potential biomarkers for noninvasive and early diagnosis of the aforementioned diseases rather than utilizing the more invasive methods used currently. The review will highlight the power of proteomic profiles identified in infertility related disease conditions and their linkage with underlying oxidative stress. The power of proteomics will be reviewed with regard to eliciting molecular mechanisms for early detection and management of these infertility related conditions.

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“…This is in addition to the surfaceenhanced laser desorption/ionization time-of-flight mass spectrometry analysis of protein or peptide expression in plasma [Fassbender et al 2012]. Technically, MS E proteomics allows the analysis of the mass spectra of the precursor ion and fragments in a single chromatographic run by switching between high and low collision energies [Bateman et al 2002].…”

Section: Discussionmentioning

confidence: 99%

Follicular fluid alterations in endometriosis: label-free proteomics by MS^Eas a functional tool for endometriosis

Regiani

Cordeiro

Costa

et al. 2015

Systems Biology in Reproductive Medicine

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Endometriosis is a chronic gynecological condition that affects 10-32% of women of reproductive age and may lead to infertility. The study of protein profiles in follicular fluid may assist in elucidating possible biomarkers related to this disease. For this, follicular fluid samples were obtained from women with tubal factor or minimal male factor infertility who had pregnancy outcomes after in vitro fertilization (IVF) treatment (control group, n = 10), women with endometriosis (endometriosis group, n = 10), along with the endometrioma from these same patients were included (endometrioma group, n = 10). For proteomic analysis, samples were pooled according to their respective groups and normalized to protein content. Proteins were analyzed by in tandem mass spectrometry (MS(E)) Spectra processing and the ProteinLynx Global Server v.2.5. was used for database searching. Data was submitted to the biological network analysis using Cytoscape 2.8.2 with ClueGO plugin. As a result, 535 proteins were identified among all groups. The control group differentially or uniquely expressed 33 (6%) proteins and equal expression of 98 (18%) proteins was observed in the control and endometriosis groups of which 41 (7%) proteins were further identified and/or quantified. Six (1%) proteins were observed in both the endometriosis and endometrioma groups, but 212 (39%) proteins were exclusively identified and/or quantified in the endometrioma group. There were 9 (1%) proteins observed in both the control and endometrioma groups and there were 139 (25%) proteins common among all three groups. Distinct differences among the protein profiles in the follicular fluid of patients included in this study were found, identifying proteins related to the disease progression and IVF success. Thus, some pathways related to endometriosis are associated with the presence of specific proteins, as well as the absence of others. This study provides a first step to the development of more sensitive diagnostic tests and treatment.

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Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis

Abstract: II.

Cited by 42 publications

References 29 publications

Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Power of Proteomics in Linking Oxidative Stress and Female Infertility

Follicular fluid alterations in endometriosis: label-free proteomics by MS^Eas a functional tool for endometriosis

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Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis

Abstract: II.

Cited by 42 publications

References 29 publications

Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis

Power of Proteomics in Linking Oxidative Stress and Female Infertility

Follicular fluid alterations in endometriosis: label-free proteomics by MSEas a functional tool for endometriosis

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Follicular fluid alterations in endometriosis: label-free proteomics by MS^Eas a functional tool for endometriosis