OBJECTIVE: To characterize well-represented microRNAs in human follicular fluid (FF) and to ascertain whether they are cargo of FF exosomes and whether they are involved in the regulation of follicle maturation. DESIGN: FF exosomes were characterized by nanosight, flow cytometry, and exosome-specific surface markers. Expression microRNA profiles from total and exosomal FF were compared with those from plasma of the same women. SETTING: University laboratory and an IVF center. PATIENT(S): Fifteen healthy women who had undergone intracytoplasmic sperm injection. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): TaqMan low-density array to investigate the expression profile of 384 microRNAs; DataAssist and geNorm for endogenous control identification; significance analysis of microarrays to identify differentially expressed microRNAs; nanosight, flow-cytometry, and bioanalyzer for exosome characterization; bioinformatic tools for microRNAs target prediction, gene ontology, and pathway analysis. RESULT(S): We identified 37 microRNAs upregulated in FF as compared with plasma from the same women. Thirty-two were carried by microvesicles that showed the well-characterized exosomal markers CD63 and CD81. These FF microRNAs are involved in critically important pathways for follicle growth and oocyte maturation. Specifically, nine of them target and negatively regulate mRNAs expressed in the follicular microenvironment encoding inhibitors of follicle maturation and meiosis resumption. CONCLUSION(S): This study identified a series of exosomal microRNAs that are highly represented in human FF and are involved in follicular maturation. They could represent noninvasive biomarkers of oocyte quality in assisted reproductive technology.
OBJECTIVE: To characterize well-represented microRNAs in human follicular fluid (FF) and to ascertain whether they are cargo of FF exosomes and whether they are involved in the regulation of follicle maturation. DESIGN: FF exosomes were characterized by nanosight, flow cytometry, and exosome-specific surface markers. Expression microRNA profiles from total and exosomal FF were compared with those from plasma of the same women. SETTING: University laboratory and an IVF center. PATIENT(S): Fifteen healthy women who had undergone intracytoplasmic sperm injection. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): TaqMan low-density array to investigate the expression profile of 384 microRNAs; DataAssist and geNorm for endogenous control identification; significance analysis of microarrays to identify differentially expressed microRNAs; nanosight, flow-cytometry, and bioanalyzer for exosome characterization; bioinformatic tools for microRNAs target prediction, gene ontology, and pathway analysis. RESULT(S): We identified 37 microRNAs upregulated in FF as compared with plasma from the same women. Thirty-two were carried by microvesicles that showed the well-characterized exosomal markers CD63 and CD81. These FF microRNAs are involved in critically important pathways for follicle growth and oocyte maturation. Specifically, nine of them target and negatively regulate mRNAs expressed in the follicular microenvironment encoding inhibitors of follicle maturation and meiosis resumption. CONCLUSION(S): This study identified a series of exosomal microRNAs that are highly represented in human FF and are involved in follicular maturation. They could represent noninvasive biomarkers of oocyte quality in assisted reproductive technology.
Authors: María Yáñez-Mó; Pia R-M Siljander; Zoraida Andreu; Apolonija Bedina Zavec; Francesc E Borràs; Edit I Buzas; Krisztina Buzas; Enriqueta Casal; Francesco Cappello; Joana Carvalho; Eva Colás; Anabela Cordeiro-da Silva; Stefano Fais; Juan M Falcon-Perez; Irene M Ghobrial; Bernd Giebel; Mario Gimona; Michael Graner; Ihsan Gursel; Mayda Gursel; Niels H H Heegaard; An Hendrix; Peter Kierulf; Katsutoshi Kokubun; Maja Kosanovic; Veronika Kralj-Iglic; Eva-Maria Krämer-Albers; Saara Laitinen; Cecilia Lässer; Thomas Lener; Erzsébet Ligeti; Aija Linē; Georg Lipps; Alicia Llorente; Jan Lötvall; Mateja Manček-Keber; Antonio Marcilla; Maria Mittelbrunn; Irina Nazarenko; Esther N M Nolte-'t Hoen; Tuula A Nyman; Lorraine O'Driscoll; Mireia Olivan; Carla Oliveira; Éva Pállinger; Hernando A Del Portillo; Jaume Reventós; Marina Rigau; Eva Rohde; Marei Sammar; Francisco Sánchez-Madrid; N Santarém; Katharina Schallmoser; Marie Stampe Ostenfeld; Willem Stoorvogel; Roman Stukelj; Susanne G Van der Grein; M Helena Vasconcelos; Marca H M Wauben; Olivier De Wever Journal: J Extracell Vesicles Date: 2015-05-14
Authors: Irene Woo; Lane K Christenson; Sumedha Gunewardena; Sue Ann Ingles; Semara Thomas; Ali Ahmady; Karine Chung; Kristin Bendikson; Richard Paulson; Lynda K McGinnis Journal: J Assist Reprod Genet Date: 2018-07-09 Impact factor: 3.412
Authors: Wei-Ting Hung; Raphatphorn Navakanitworakul; Tarique Khan; Pan Zhang; John S Davis; Lynda K McGinnis; Lane K Christenson Journal: Biol Reprod Date: 2017-10-01 Impact factor: 4.285
Authors: Mohammed Saeed-Zidane; Lea Linden; Dessie Salilew-Wondim; Eva Held; Christiane Neuhoff; Ernst Tholen; Michael Hoelker; Karl Schellander; Dawit Tesfaye Journal: PLoS One Date: 2017-11-08 Impact factor: 3.240