Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration
Study question: Do any proteomic biomarkers previously identified for pre-eclampsia (PE) overlap with those identified in women with polycystic ovary syndrome (PCOS). Summary answer: Five previously identified proteomic biomarkers were found to be common in women with PE and PCOS when compared with...
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| Format: | Article |
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Oxford University Press
2014
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| Online Access: | https://eprints.nottingham.ac.uk/37981/ |
| _version_ | 1848795573944057856 |
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| author | Khan, Gulafshana Hafeez Galazis, Nicolas Docheva, Nikolina Layfield, Robert Atiomo, William |
| author_facet | Khan, Gulafshana Hafeez Galazis, Nicolas Docheva, Nikolina Layfield, Robert Atiomo, William |
| author_sort | Khan, Gulafshana Hafeez |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Study question: Do any proteomic biomarkers previously identified for pre-eclampsia (PE) overlap with those identified in women with polycystic ovary syndrome (PCOS).
Summary answer: Five previously identified proteomic biomarkers were found to be common in women with PE and PCOS when compared with controls.
What is known already: Various studies have indicated an association between PCOS and PE; however, the pathophysiological mechanisms supporting this association are not known.
Study design, size, duration: A systematic review and update of our PCOS proteomic biomarker database was performed, along with a parallel review of PE biomarkers. The study included papers from 1980 to December 2013.
Participants/materials, setting, methods: In all the studies analysed, there were a total of 1423 patients and controls. The number of proteomic biomarkers that were catalogued for PE was 192.
Main results and the role of chance: Five proteomic biomarkers were shown to be differentially expressed in women with PE and PCOS when compared with controls: transferrin, fibrinogen a, b and g chain variants, kininogen-1, annexin 2 and peroxiredoxin 2. In PE, the biomarkers were identified in serum, plasma and placenta and in PCOS, the biomarkers were identified in serum, follicular fluid, and ovarian and omental biopsies.
Limitations, reasons for caution: The techniques employed to detect proteomics have limited ability in identifying proteins that are of low abundance, some of which may have a diagnostic potential. The sample sizes and number of biomarkers identified from these studies do not exclude the risk of false positives, a limitation of all biomarker studies. The biomarkers common to PE and PCOS were identified from proteomic analyses of different tissues.
Wider implications of the findings: This data amalgamation of the proteomic studies in PE and in PCOS, for the first time, discovered a panel of five biomarkers for PE which are common to women with PCOS, including transferrin, fibrinogen a, b and g chain variants, kininogen-1, annexin 2 and peroxiredoxin 2. If validated, these biomarkers could provide a useful framework for the knowledge infrastructure in this area. To accomplish this goal, a well co-ordinated multidisciplinary collaboration of clinicians, basic scientists and mathematicians is vital. |
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| format | Article |
| id | nottingham-37981 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:34:15Z |
| publishDate | 2014 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-379812020-05-04T16:55:06Z https://eprints.nottingham.ac.uk/37981/ Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration Khan, Gulafshana Hafeez Galazis, Nicolas Docheva, Nikolina Layfield, Robert Atiomo, William Study question: Do any proteomic biomarkers previously identified for pre-eclampsia (PE) overlap with those identified in women with polycystic ovary syndrome (PCOS). Summary answer: Five previously identified proteomic biomarkers were found to be common in women with PE and PCOS when compared with controls. What is known already: Various studies have indicated an association between PCOS and PE; however, the pathophysiological mechanisms supporting this association are not known. Study design, size, duration: A systematic review and update of our PCOS proteomic biomarker database was performed, along with a parallel review of PE biomarkers. The study included papers from 1980 to December 2013. Participants/materials, setting, methods: In all the studies analysed, there were a total of 1423 patients and controls. The number of proteomic biomarkers that were catalogued for PE was 192. Main results and the role of chance: Five proteomic biomarkers were shown to be differentially expressed in women with PE and PCOS when compared with controls: transferrin, fibrinogen a, b and g chain variants, kininogen-1, annexin 2 and peroxiredoxin 2. In PE, the biomarkers were identified in serum, plasma and placenta and in PCOS, the biomarkers were identified in serum, follicular fluid, and ovarian and omental biopsies. Limitations, reasons for caution: The techniques employed to detect proteomics have limited ability in identifying proteins that are of low abundance, some of which may have a diagnostic potential. The sample sizes and number of biomarkers identified from these studies do not exclude the risk of false positives, a limitation of all biomarker studies. The biomarkers common to PE and PCOS were identified from proteomic analyses of different tissues. Wider implications of the findings: This data amalgamation of the proteomic studies in PE and in PCOS, for the first time, discovered a panel of five biomarkers for PE which are common to women with PCOS, including transferrin, fibrinogen a, b and g chain variants, kininogen-1, annexin 2 and peroxiredoxin 2. If validated, these biomarkers could provide a useful framework for the knowledge infrastructure in this area. To accomplish this goal, a well co-ordinated multidisciplinary collaboration of clinicians, basic scientists and mathematicians is vital. Oxford University Press 2014-10-28 Article PeerReviewed Khan, Gulafshana Hafeez, Galazis, Nicolas, Docheva, Nikolina, Layfield, Robert and Atiomo, William (2014) Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration. Human Reproduction, 30 (1). pp. 133-148. ISSN 1460-2350 Polycystic ovarian syndrome Pre-eclampsia Biomarker Proteomic Overlap http://humrep.oxfordjournals.org/content/30/1/133 doi:10.1093/humrep/deu268 doi:10.1093/humrep/deu268 |
| spellingShingle | Polycystic ovarian syndrome Pre-eclampsia Biomarker Proteomic Overlap Khan, Gulafshana Hafeez Galazis, Nicolas Docheva, Nikolina Layfield, Robert Atiomo, William Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title | Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title_full | Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title_fullStr | Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title_full_unstemmed | Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title_short | Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration |
| title_sort | overlap of proteomics biomarkers between women with pre-eclampsia and pcos: a systematic review and biomarker database integration |
| topic | Polycystic ovarian syndrome Pre-eclampsia Biomarker Proteomic Overlap |
| url | https://eprints.nottingham.ac.uk/37981/ https://eprints.nottingham.ac.uk/37981/ https://eprints.nottingham.ac.uk/37981/ |