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An unbiased approach of molecular characterization of the endometrium: toward defining endometrial-based infertility.
Bui, Bich Ngoc; Ardisasmita, Arif Ibrahim; Kuijk, Ewart; Altmäe, Signe; Steba, Gaby; Mackens, Shari; Fuchs, Sabine; Broekmans, Frank; Nieuwenhuis, Edward.
Affiliation
  • Bui BN; Department of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Ardisasmita AI; Department of Metabolic Diseases, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Kuijk E; Department of Pediatric Gastroenterology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Altmäe S; Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.
  • Steba G; Department of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mackens S; Brussels IVF, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
  • Fuchs S; Department of Metabolic Diseases, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Broekmans F; Department of Gynaecology and Reproductive Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Nieuwenhuis E; Centre for Infertility Care, Dijklander Ziekenhuis, Purmerend, The Netherlands.
Hum Reprod ; 39(2): 275-281, 2024 Feb 01.
Article de En | MEDLINE | ID: mdl-38099857
ABSTRACT
Infertility is a complex condition affecting millions of couples worldwide. The current definition of infertility, based on clinical criteria, fails to account for the molecular and cellular changes that may occur during the development of infertility. Recent advancements in sequencing technology and single-cell analysis offer new opportunities to gain a deeper understanding of these changes. The endometrium has a potential role in infertility and has been extensively studied to identify gene expression profiles associated with (impaired) endometrial receptivity. However, limited overlap among studies hampers the identification of relevant downstream pathways that could play a role in the development of endometrial-related infertility. To address these challenges, we propose sequencing the endometrial transcriptome of healthy and infertile women at the single-cell level to consistently identify molecular signatures. Establishing consensus on physiological patterns in endometrial samples can aid in identifying deviations in infertile patients. A similar strategy has been used with great success in cancer research. However, large collaborative initiatives, international uniform protocols of sample collection and processing are crucial to ensure reliability and reproducibility. Overall, the proposed approach holds promise for an objective and accurate classification of endometrial-based infertility and has the potential to improve diagnosis and treatment outcomes.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Infertilité féminine Limites: Female / Humans Langue: En Journal: Hum Reprod Sujet du journal: MEDICINA REPRODUTIVA Année: 2024 Type de document: Article Pays d'affiliation: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Infertilité féminine Limites: Female / Humans Langue: En Journal: Hum Reprod Sujet du journal: MEDICINA REPRODUTIVA Année: 2024 Type de document: Article Pays d'affiliation: Pays-Bas