The mitochondrial DNA content of cumulus cells may help predict embryo implantation.


Journal

Journal of assisted reproduction and genetics
ISSN: 1573-7330
Titre abrégé: J Assist Reprod Genet
Pays: Netherlands
ID NLM: 9206495

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 22 08 2018
accepted: 16 10 2018
pubmed: 27 10 2018
medline: 26 4 2019
entrez: 27 10 2018
Statut: ppublish

Résumé

The quantification of mtDNA in cumulus granulosa cells (CGCs) surrounding an oocyte has been positively linked with morphological embryonic quality. In the present study, we evaluated the link between the amount of mtDNA in CGCs surrounding an oocyte and the chances for the corresponding embryo of implanting and leading to an ongoing pregnancy. This is an observational study, performed on 84 oocyte-cumulus-complexes (OCCs) having led to the replacement of an embryo in the maternal uterus, retrieved from 71 patients undergoing IVF with intracytoplasmic sperm. The OCCs were classified in two groups, one including 26 OCCs having led to an implanted embryo and the other including 58 OCCs having led to a non-implanted embryo. The average mtDNA content of CGCs was assessed by using a quantitative real-time PCR technique. Significantly higher mtDNA copy numbers in CGCs were associated with implanted embryos than with non-implanted embryos (mean 215 [sd 375] and 59 [sd 72], respectively; p < 10 During in vitro fertilization (IVF) procedures, the probability of the implantation of the embryo appears to be closely correlated to the mtDNA copy numbers in the CGCs. Our results highlight the interest of mtDNA quantification in GCGs as a biomarker of the potential of embryo implantation.

Identifiants

pubmed: 30362054
doi: 10.1007/s10815-018-1348-5
pii: 10.1007/s10815-018-1348-5
pmc: PMC6420513
doi:

Substances chimiques

DNA, Mitochondrial 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

223-228

Subventions

Organisme : Agence de la Biomédecine
ID : AOR AMP Diagnostic prénatal et Diagnostic génétique 2017

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Auteurs

A Taugourdeau (A)

MITOLAB, Institut MITOVASC, CNRS 6015, INSERM U1083, Université d'Angers, 49933, Angers, France.

V Desquiret-Dumas (V)

MITOLAB, Institut MITOVASC, CNRS 6015, INSERM U1083, Université d'Angers, 49933, Angers, France.
Département de Biochimie et Génétique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

J F Hamel (JF)

SFR ICAT, Université Angers, 49933, Angers, France.
DRCI, Cellule Data Management, CHU Angers, 49933, Angers, France.

S Chupin (S)

Département de Biochimie et Génétique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

L Boucret (L)

Laboratoire de Biologie de la Reproduction, Centre Hospitalier Universitaire d'Angers, 49933, Angers cedex 9, France.

V Ferré-L'Hotellier (V)

Laboratoire de Biologie de la Reproduction, Centre Hospitalier Universitaire d'Angers, 49933, Angers cedex 9, France.

P E Bouet (PE)

Service de Gynécologie-Obstétrique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

P Descamps (P)

Service de Gynécologie-Obstétrique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

V Procaccio (V)

MITOLAB, Institut MITOVASC, CNRS 6015, INSERM U1083, Université d'Angers, 49933, Angers, France.
Département de Biochimie et Génétique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

P Reynier (P)

MITOLAB, Institut MITOVASC, CNRS 6015, INSERM U1083, Université d'Angers, 49933, Angers, France.
Département de Biochimie et Génétique, Centre Hospitalier Universitaire d'Angers, 49933, Angers, France.

P May-Panloup (P)

MITOLAB, Institut MITOVASC, CNRS 6015, INSERM U1083, Université d'Angers, 49933, Angers, France. pamaypanloup@chu-angers.fr.
Laboratoire de Biologie de la Reproduction, Centre Hospitalier Universitaire d'Angers, 49933, Angers cedex 9, France. pamaypanloup@chu-angers.fr.

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Classifications MeSH