Children born after assisted reproduction more commonly carry a mitochondrial genotype associating with low birthweight.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
09 Feb 2024
Historique:
received: 10 12 2022
accepted: 23 01 2024
medline: 10 2 2024
pubmed: 10 2 2024
entrez: 9 2 2024
Statut: epublish

Résumé

Children conceived through assisted reproductive technologies (ART) have an elevated risk of lower birthweight, yet the underlying cause remains unclear. Our study explores mitochondrial DNA (mtDNA) variants as contributors to birthweight differences by impacting mitochondrial function during prenatal development. We deep-sequenced the mtDNA of 451 ART and spontaneously conceived (SC) individuals, 157 mother-child pairs and 113 individual oocytes from either natural menstrual cycles or after ovarian stimulation (OS) and find that ART individuals carried a different mtDNA genotype than SC individuals, with more de novo non-synonymous variants. These variants, along with rRNA variants, correlate with lower birthweight percentiles, independent of conception mode. Their higher occurrence in ART individuals stems from de novo mutagenesis associated with maternal aging and OS-induced oocyte cohort size. Future research will establish the long-term health consequences of these changes and how these findings will impact the clinical practice and patient counselling in the future.

Identifiants

pubmed: 38336715
doi: 10.1038/s41467-024-45446-1
pii: 10.1038/s41467-024-45446-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1232

Informations de copyright

© 2024. The Author(s).

Références

Luke, B. et al. The risk of birth defects with conception by ART. Hum. Reprod. 36, 116–129 (2021).
pubmed: 33251542 doi: 10.1093/humrep/deaa272
Qin, J. B. et al. Worldwide prevalence of adverse pregnancy outcomes among singleton pregnancies after in vitro fertilization/intracytoplasmic sperm injection: a systematic review and meta-analysis. Arch. Gynecol. Obstet. 295, 285–301 (2017).
pubmed: 27896474 doi: 10.1007/s00404-016-4250-3
Pandey, S., Shetty, A., Hamilton, M., Bhattacharya, S. & Maheshwari, A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum. Reprod. Update 18, 485–503 (2012).
pubmed: 22611174 doi: 10.1093/humupd/dms018
Pinborg, A. et al. Why do singletons conceived after assisted reproduction technology have adverse perinatal outcome? Systematic review and meta-analysis. Hum. Reprod. Update 19, 87–104 (2013).
pubmed: 23154145 doi: 10.1093/humupd/dms044
Maheshwari, A. et al. Is frozen embryo transfer better for mothers and babies? Can cumulative meta-analysis provide a definitive answer? Hum. Reprod. Update 24, 35–58 (2018).
pubmed: 29155965 doi: 10.1093/humupd/dmx031
Magnusson, Å. et al. The association between high birth weight and long-term outcomes—implications for assisted reproductive technologies: a systematic review and meta-analysis. Front. Pediatr. 9, 675775 (2021).
pubmed: 34249812 pmcid: 8260985 doi: 10.3389/fped.2021.675775
Sargisian, N. et al. Cancer in children born after frozen-thawed embryo transfer: a cohort study. PLoS Med. 19, e1004078 (2022).
pubmed: 36048761 pmcid: 9436139 doi: 10.1371/journal.pmed.1004078
Belva, F. et al. Are ICSI adolescents at risk for increased adiposity? Hum. Reprod. 27, 257–264 (2012).
pubmed: 22081314 doi: 10.1093/humrep/der375
Ceelen, M., Van Weissenbruch, M. M., Vermeiden, J. P. W., Van Leeuwen, F. E. & Delemarre-Van De Waal, H. A. Cardiometabolic differences in children born after in vitro fertilization: follow-up study. J. Clin. Endocrinol. Metab. 93, 1682–1688 (2008).
pubmed: 18285409 doi: 10.1210/jc.2007-2432
Ceelen, M., van Weissenbruch, M. M., Vermeiden, J. P. W., van Leeuwen, F. E. & Delemarre-van de Waal, H. A. Pubertal development in children and adolescents born after IVF and spontaneous conception. Hum. Reprod. 23, 2791–2798 (2008).
pubmed: 18689849 doi: 10.1093/humrep/den309
Cui, L. et al. Increased risk of metabolic dysfunction in children conceived by assisted reproductive technology. Diabetologia 63, 2150–2157 (2020).
pubmed: 32757153 doi: 10.1007/s00125-020-05241-1
Guo, X.-Y. et al. Cardiovascular and metabolic profiles of offspring conceived by assisted reproductive technologies: a systematic review and meta-analysis. Fertil. Steril. 107, 622–631.e5 (2017).
pubmed: 28104241 doi: 10.1016/j.fertnstert.2016.12.007
Meister, T. A. et al. Association of assisted reproductive technologies with arterial hypertension during adolescence. J. Am. Coll. Cardiol. 72, 1267–1274 (2018).
pubmed: 30190005 doi: 10.1016/j.jacc.2018.06.060
Valenzuela‐Alcaraz, B. et al. Postnatal persistence of fetal cardiovascular remodelling associated with assisted reproductive technologies: a cohort study. BJOG Int. J. Obstet. Gynaecol. 126, 291–298 (2019).
doi: 10.1111/1471-0528.15246
Gluckman, P., Hanson, M., Phil, D., Cooper, C. & Thornburg, K. Disease, effect of in utero and early-life conditions on adult health and disease. N. Engl. J. Med. 359, 61–73 (2014).
doi: 10.1056/NEJMra0708473
Middelburg, K. J., Haadsma, M. L., Heineman, M. J., Bos, A. F. & Hadders-Algra, M. Ovarian hyperstimulation and the in vitro fertilization procedure do not influence early neuromotor development; a history of subfertility does. Fertil. Steril. 93, 544–553 (2010).
pubmed: 19361794 doi: 10.1016/j.fertnstert.2009.03.008
Romundstad, L. B. et al. Effects of technology or maternal factors on perinatal outcome after assisted fertilisation: a population-based cohort study. Lancet 372, 737–743 (2008).
pubmed: 18674812 doi: 10.1016/S0140-6736(08)61041-7
Sunkara, S. K., Antonisamy, B., Redla, A. C. & Kamath, M. S. Female causes of infertility are associated with higher risk of preterm birth and low birth weight: analysis of 117 401 singleton live births following IVF. Hum. Reprod. 36, 676–682 (2021).
pubmed: 33367914 doi: 10.1093/humrep/deaa283
Cooper, A. R. et al. Smaller fetal size in singletons after infertility therapies: the influence of technology and the underlying infertility. Fertil. Steril. 96, 1100–1106 (2011).
pubmed: 21944928 pmcid: 3212582 doi: 10.1016/j.fertnstert.2011.08.038
Luke, B., Gopal, D., Cabral, H., Diop, H. & Stern, J. E. Perinatal outcomes of singleton siblings: the effects of changing maternal fertility status. J. Assist. Reprod. Genet. 33, 1203–1213 (2016).
pubmed: 27318927 pmcid: 5010815 doi: 10.1007/s10815-016-0757-6
Kalra, S. K., Ratcliffe, S. J., Coutifaris, C., Molinaro, T. & Barnhart, K. T. Ovarian stimulation and low birth weight in infants conceived through in vitro fertilization. Obstet. Gynecol. 118, 863 (2011).
pubmed: 21934450 pmcid: 3178887 doi: 10.1097/AOG.0b013e31822be65f
Kapiteijn, K. et al. Does subfertility explain the risk of poor perinatal outcome after IVF and ovarian hyperstimulation? Hum. Reprod. 21, 3228–3234 (2006).
pubmed: 17023490 doi: 10.1093/humrep/del311
Pelinck, M. J. et al. Is the birthweight of singletons born after IVF reduced by ovarian stimulation or by IVF laboratory procedures? Reprod. Biomed. Online 21, 245–251 (2010).
pubmed: 20538525 doi: 10.1016/j.rbmo.2010.04.024
Zhu, J., Li, M., Chen, L., Liu, P. & Qiao, J. The protein source in embryo culture media influences birthweight: a comparative study between G1 v5 and G1-PLUS v5. Hum. Reprod. 29, 1387–1392 (2014).
pubmed: 24812314 doi: 10.1093/humrep/deu103
Dumoulin, J. C. et al. Effect of in vitro culture of human embryos on birthweight of newborns. Hum. Reprod. 25, 605–612 (2010).
pubmed: 20085915 doi: 10.1093/humrep/dep456
Kleijkers, S. H. M. et al. Influence of embryo culture medium (G5 and HTF) on pregnancy and perinatal outcome after IVF: a multicenter RCT. Hum. Reprod. 31, 2219–2230 (2016).
pubmed: 27554441 doi: 10.1093/humrep/dew156
Sunde, A. et al. Time to take human embryo culture seriously. Hum. Reprod. 31, 2174–2182 (2016).
pubmed: 27554442 doi: 10.1093/humrep/dew157
Zandstra, H., Van Montfoort, A. P. A. & Dumoulin, J. C. M. Does the type of culture medium used influence birthweight of children born after IVF? Hum. Reprod. 30, 530–542 (2015).
pubmed: 25574031 doi: 10.1093/humrep/deu346
Mani, S., Ghosh, J., Coutifaris, C., Sapienza, C. & Mainigi, M. Epigenetic changes and assisted reproductive technologies. Epigenetics 15, 12–25 (2020).
pubmed: 31328632 doi: 10.1080/15592294.2019.1646572
El Hajj, N. & Haaf, T. Epigenetic disturbances in in vitro cultured gametes and embryos: implications for human assisted reproduction. Fertil. Steril. 99, 632–641 (2013).
pubmed: 23357453 doi: 10.1016/j.fertnstert.2012.12.044
Lazaraviciute, G., Kauser, M., Bhattacharya, S., Haggarty, P. & Bhattacharya, S. A systematic review and meta-analysis of DNA methylation levels and imprinting disorders in children conceived by IVF/ICSI compared with children conceived spontaneously. Hum. Reprod. Update 20, 840–852 (2014).
pubmed: 24961233 doi: 10.1093/humupd/dmu033
Ducreux, B. et al. Genome-wide analysis of DNA methylation in buccal cells of children conceived through IVF and ICSI. Genes 12, 1912 (2021).
pubmed: 34946866 pmcid: 8701402 doi: 10.3390/genes12121912
Koeck, R. M. et al. At age 9, the methylome of assisted reproductive technology children that underwent embryo culture in different media is not significantly different on a genome-wide scale. Hum. Reprod. 37, 2709–2721 (2022).
pubmed: 36206092 pmcid: 9627755 doi: 10.1093/humrep/deac213
Mulder, C. L. et al. Comparison of DNA methylation patterns of parentally imprinted genes in placenta derived from IVF conceptions in two different culture media. Hum. Reprod. 35, 516–528 (2020).
pubmed: 32222762 pmcid: 7105329 doi: 10.1093/humrep/deaa004
Oliver, V. F. et al. Defects in imprinting and genome-wide DNA methylation are not common in the in vitro fertilization population. Fertil. Steril. 97, 147–53.e7 (2012).
pubmed: 22112648 doi: 10.1016/j.fertnstert.2011.10.027
Whitelaw, N. et al. Epigenetic status in the offspring of spontaneous and assisted conception. Hum. Reprod. 29, 1452–1458 (2014).
pubmed: 24812310 doi: 10.1093/humrep/deu094
Esteki, M. Z. et al. In vitro fertilization does not increase the incidence of de novo copy number alterations in fetal and placental lineages. Nat. Med. 25, 1699–1705 (2019).
doi: 10.1038/s41591-019-0620-2
Luiza, E. et al. Early Human Development Premature birth, low birth weight, small for gestational age and chronic non-communicable diseases in adult life: a systematic review with meta-analysis. Early Hum. Dev. 149, 105154 (2020).
doi: 10.1016/j.earlhumdev.2020.105154
Bhatti, J. S. et al. Mitochondrial dysfunction and oxidative stress in metabolic disorders—a step towards mitochondria based therapeutic strategies. Biochim. Biophys. Acta Mol. Basis Dis. 1863, 1066–1077 (2018).
doi: 10.1016/j.bbadis.2016.11.010
Schaefer, A. M., Walker, M., Turnbull, D. M. & Taylor, R. W. Endocrine disorders in mitochondrial disease. Mol. Cell. Endocrinol. 379, 2–11 (2013).
pubmed: 23769710 pmcid: 3820028 doi: 10.1016/j.mce.2013.06.004
Gibson, K. et al. Mitochondrial oxidative phosphorylation disorders presenting in neonates: clinical manifestations and enzymatic and molecular diagnoses. Pediatrics 122, 1003–1008 (2008).
pubmed: 18977979 doi: 10.1542/peds.2007-3502
von Kleist-Retzow, J.-C. et al. Antenatal manifestations of mitochondrial respiratory chain deficiency. J. Pediatr. 143, 208–212 (2003).
doi: 10.1067/S0022-3476(03)00130-6
Casteels, K. et al. Mitochondrial 16189 variant, thinnnes at birth, and type-2 diabetes. Lancet 353, 1499–1500 (1999).
pubmed: 10232327 doi: 10.1016/S0140-6736(98)05817-6
Casteels, K. et al. Mitochondrial 16189 variant, thinness at birth, and type-2 diabetes. Lancet 353, 1499–1500 (1999).
pubmed: 10232327 doi: 10.1016/S0140-6736(98)05817-6
Ebner, S. et al. Mitochondrial haplogroup T is associated with obesity in Austrian juveniles and adults. PLoS ONE 10, e0135622 (2015).
pubmed: 26322975 pmcid: 4556186 doi: 10.1371/journal.pone.0135622
Flaquer, A. et al. Mitochondrial genetic variants identified to be associated with BMI in adults. PLoS ONE 9, e105116 (2014).
pubmed: 25153900 pmcid: 4143221 doi: 10.1371/journal.pone.0105116
Knoll, N. et al. Mitochondrial DNA variants in obesity. PLoS ONE 9, e94882 (2014).
pubmed: 24788344 pmcid: 4008486 doi: 10.1371/journal.pone.0094882
Yang, T. L. et al. Genetic association study of common mitochondrial variants on body fat mass. PLoS ONE 6, 21595 (2011).
doi: 10.1371/journal.pone.0021595
Parker, E., Phillips, D. I. W., Cockington, R. A., Cull, C. & Poulton, J. A common mitchondrial DNA variant is associated with thinness in mothers and their 20-yr-old offspring. Am. J. Physiol. Endocrinol. Metab. 289, E1110–E1114 (2005).
pubmed: 15998658 doi: 10.1152/ajpendo.00600.2004
Nardelli, C. et al. Haplogroup T is an obesity risk factor: mitochondrial DNA haplotyping in a morbid obese population from Southern Italy. Biomed. Res. Int. 2013, 1–5 (2013).
doi: 10.1155/2013/631082
Goisis, A., Remes, H., Martikainen, P., Klemetti, R. & Myrskylä, M. Medically assisted reproduction and birth outcomes: a within-family analysis using Finnish population registers. Lancet 393, 1225–1232 (2019).
pubmed: 30655015 doi: 10.1016/S0140-6736(18)31863-4
Amaral, A., Lourenço, B., Marques, M. & Ramalho-Santos, J. Mitochondria functionality and sperm quality. Reproduction 146, 163–174 (2013).
doi: 10.1530/REP-13-0178
Ameele, J. Van, Den, Li,A. Y. Z., Ma, H. & Chinnery, P. F. Mitochondrial heteroplasmy beyond the oocyte bottleneck. Semin. Cell Dev. Biol. 97, 156–166 (2020).
pubmed: 31611080 doi: 10.1016/j.semcdb.2019.10.001
Cecchino, G. N., D, M. & Garcia-velasco, J. A. Mitochondrial DNA copy number as a predictor of embryo viability. Fertil. Steril. 111, 205–211 (2019).
pubmed: 30611549 doi: 10.1016/j.fertnstert.2018.11.021
Dumollard, R., Duchen, M. & Carroll, J. The role of mitochondrial function in the oocyte and embryo. Curr. Top. Dev. Biol. 77, 21–49 (2007).
pubmed: 17222699 doi: 10.1016/S0070-2153(06)77002-8
Gu, L. et al. Metabolic control of oocyte development: linking maternal nutrition and reproductive outcomes Ling. Cell Mol. Life Sci. 72, 251–271 (2015).
pubmed: 25280482 doi: 10.1007/s00018-014-1739-4
Otten, A. B. C. & Smeets, H. J. M. Evolutionary defined role of the mitochondrial DNA in fertility, disease and ageing. Hum. Reprod. Update 21, 671–689 (2015).
Ramalho-Santos, J. et al. Mitochondrial functionality in reproduction: from gonads and gametes to embryos and embryonic stem cells. Hum. Reprod. Update 15, 553–572 (2009).
pubmed: 19414527 doi: 10.1093/humupd/dmp016
Chao, H.-T. et al. Repeated ovarian stimulations induce oxidative damage and mitochondrial DNA mutations in mouse ovaries. Ann. N. Y. Acad. Sci. 1042, 148–156 (2005).
pubmed: 15965057 doi: 10.1196/annals.1338.016
Gibson, T. C., Kubisch, H. M. & Brenner, C. A. Mitochondrial DNA deletions in rhesus macaque oocytes and embryos. Mol. Hum. Reprod. 11, 785–789 (2005).
pubmed: 16373367 doi: 10.1093/molehr/gah227
Ge, H. et al. Impaired mitochondrial function in murine oocytes is associated with controlled ovarian hyperstimulation and in vitro maturation. Reprod. Fertil. Dev. 24, 945–952 (2012).
pubmed: 22935155 doi: 10.1071/RD11212
Schon, E., DiMauro, S. & Hirano, M. Human mitochondrial DNA: roles of inherited and somatic mutations. Nat. Rev. Genet. 13, 878–890 (2012).
pubmed: 23154810 pmcid: 3959762 doi: 10.1038/nrg3275
Kennedy, S. R., Salk, J. J., Schmitt, M. W. & Loeb, L. A. Ultra-sensitive sequencing reveals an age-related increase in somatic mitochondrial mutations that are inconsistent with oxidative damage. PLoS Genet 9, e1003794 (2013).
pubmed: 24086148 pmcid: 3784509 doi: 10.1371/journal.pgen.1003794
Naue, J. et al. Evidence for frequent and tissue-specific sequence heteroplasmy in human mitochondrial DNA. Mitochondrion 20, 82–94 (2015).
pubmed: 25526677 doi: 10.1016/j.mito.2014.12.002
Nekhaeva, E. et al. Clonally expanded mtDNA point mutations are abundant in individual cells of human tissues. Proc. Natl Acad. Sci. USA 99, 5521–5526 (2002).
pubmed: 11943860 pmcid: 122802 doi: 10.1073/pnas.072670199
Sanchez-Contreras, M. et al. The multi-tissue landscape of somatic mtDNA mutations indicates tissue-specific accumulation and removal in aging. Elife 12, e83395 (2023).
pubmed: 36799304 pmcid: 10072880 doi: 10.7554/eLife.83395
Herrero-Martin, M. D. et al. A MELAS/MERRF phenotype associated with the mitochondrial DNA 5521G>A mutation. J. Neurol. Neurosurg. Psychiatry 81, 471–472 (2010).
pubmed: 20360171 doi: 10.1136/jnnp.2009.173831
Li, D. et al. Pathogenic mitochondrial DNA 3243A>G mutation: from genetics to phenotype. Front. Genet. 13, 1–14 (2022).
Fu, J. et al. Broadening the phenotype of m.5703G>A mutation in mitochondrial tRNAAsn gene from mitochondrial myopathy to myoclonic epilepsy with ragged red fibers syndrome. Chin. Med. J. 132, 865–867 (2019).
pubmed: 30897601 pmcid: 6595846 doi: 10.1097/CM9.0000000000000151
Kleijkers, S. H. M. et al. IVF culture medium affects post-natal weight in humans during the first 2 years of life. Hum. Reprod. 29, 661–669 (2014).
pubmed: 24549211 doi: 10.1093/humrep/deu025
Pejaver, V. et al. Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nat. Commun. 11, 5918 (2020).
Lott, M. T. et al. mtDNA Variation and Analysis Using Mitomap and Mitomaster. Curr. Protoc. Bioinforma. 44, 1.23.1–26 (2013).
doi: 10.1002/0471250953.bi0123s44
McCormick, E. M. et al. Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation. Hum. Mutat. 41, 2028–2057 (2020).
pubmed: 32906214 pmcid: 7717623 doi: 10.1002/humu.24107
Gorman, G. S. et al. Mitochondrial diseases. Nat. Rev. Dis. Prim. 2, 1–23 (2016).
Stewart, J. B. & Chinnery, P. F. The dynamics of mitochondrial DNA heteroplasmy: implications for human health and disease. Nat. Rev. Genet. 16, 530–542 (2015).
pubmed: 26281784 doi: 10.1038/nrg3966
Gómez-Durán, A. et al. Unmasking the causes of multifactorial disorders: OXPHOS differences between mitochondrial haplogroups. Hum. Mol. Genet. 19, 3343–3353 (2010).
pubmed: 20566709 doi: 10.1093/hmg/ddq246
Montiel-Sosa, F. et al. Differences of sperm motility in mitochondrial DNA haplogroup U sublineages. Gene 368, 21–27 (2006).
pubmed: 16326035 doi: 10.1016/j.gene.2005.09.015
Payne, Ba. I. et al. Universal heteroplasmy of human mitochondrial DNA. Hum. Mol. Genet. 22, 384–390 (2013).
pubmed: 23077218 doi: 10.1093/hmg/dds435
Hahn, A. & Zuryn, S. The cellular mitochondrial genome landscape in disease. Trends Cell Biol. xx, 1–14 (2018).
Keogh, M. & Chinnery, P. F. Hereditary mtDNA heteroplasmy: a baseline for aging? Cell Metab. 18, 463–464 (2013).
pubmed: 24093673 doi: 10.1016/j.cmet.2013.09.015
Ross, J. J. M. et al. Germline mitochondrial DNA mutations aggravate ageing and can impair brain development. Nature 501, 412–415 (2013).
pubmed: 23965628 pmcid: 3820420 doi: 10.1038/nature12474
Ross, J. M., Coppotelli, G., Hoffer, B. J. & Olson, L. Maternally transmitted mitochondrial DNA mutations can reduce lifespan. Sci. Rep. 4, 6569 (2014).
pubmed: 25299268 pmcid: 4190956 doi: 10.1038/srep06569
Picca, A. et al. The contribution of mitochondrial DNA alterations to aging, cancer, and neurodegeneration. Exp. Gerontol. 178, 112203 (2023).
pubmed: 37172915 doi: 10.1016/j.exger.2023.112203
Kang, E. et al. Age-related accumulation of somatic mitochondrial DNA mutations in adult-derived human iPSCs. Cell Stem Cell 18, 625–636 (2016).
pubmed: 27151456 doi: 10.1016/j.stem.2016.02.005
Rebolledo-Jaramillo, B. et al. Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA. Proc. Natl Acad. Sci. USA 111, 15474–15479 (2014).
pubmed: 25313049 pmcid: 4217420 doi: 10.1073/pnas.1409328111
Zaidi, A. A. et al. Bottleneck and selection in the germline and maternal age influence transmission of mitochondrial DNA in human pedigrees. Proc. Natl Acad. Sci. USA 116, 25172–25178 (2019).
pubmed: 31757848 pmcid: 6911200 doi: 10.1073/pnas.1906331116
Arbeithuber, B. et al. Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues. PLoS Biol. 18, e3000745 (2020).
pubmed: 32667908 pmcid: 7363077 doi: 10.1371/journal.pbio.3000745
Burgstaller, J. P. et al. Large-scale genetic analysis reveals mammalian mtDNA heteroplasmy dynamics and variance increase through lifetimes and generations. Nat. Commun. 9, 1–12 (2018).
doi: 10.1038/s41467-018-04797-2
Kiserud, T. et al. The World Health Organization fetal growth charts: concept, findings, interpretation, and application. Am. J. Obstet. Gynecol. 218, S619–S629 (2018).
pubmed: 29422204 doi: 10.1016/j.ajog.2017.12.010
Schimmel, M. S. et al. The effects of maternal age and parity on maternal and neonatal outcome. Arch. Gynecol. Obstet. 291, 793–798 (2015).
pubmed: 25227657 doi: 10.1007/s00404-014-3469-0
Wang, S. et al. Changing trends of birth weight with maternal age: a cross-sectional study in Xi’an city of Northwestern China. BMC Pregnancy Childbirth 20, 744 (2020).
pubmed: 33256654 pmcid: 7708914 doi: 10.1186/s12884-020-03445-2
Floros, V. I. et al. Segregation of mitochondrial DNA heteroplasmy through a developmental genetic bottleneck in human embryos. Nat. Cell Biol. 20, 144–151 (2018).
pubmed: 29335530 pmcid: 6551220 doi: 10.1038/s41556-017-0017-8
Wei, W. et al. Germline selection shapes human mitochondrial DNA diversity. Science 364, eaau6520 (2019).
pubmed: 31123110 doi: 10.1126/science.aau6520
Mak, W. et al. Natural cycle IVF reduces the risk of low birthweight infants compared with conventional stimulated IVF. Hum. Reprod. 31, 789–794 (2016).
pubmed: 26908846 pmcid: 4791919 doi: 10.1093/humrep/dew024
Sunkara, S. K., LaMarca, A., Polyzos, N. P., Seed, P. T. & Khalaf, Y. Live birth and perinatal outcomes following stimulated and unstimulated IVF: analysis of over two decades of a nationwide data. Hum. Reprod. 31, 2261–2267 (2016).
pubmed: 27591229 doi: 10.1093/humrep/dew184
Sunkara, S. K., La Marca, A., Seed, P. T. & Khalaf, Y. Increased risk of preterm birth and low birthweight with very high number of oocytes following IVF: an analysis of 65 868 singleton live birth outcomes. Hum. Reprod. 30, 1473–1480 (2015).
pubmed: 25883033 doi: 10.1093/humrep/dev076
Magnusson, Å., Källen, K., Thurin-Kjellberg, A. & Bergh, C. The number of oocytes retrieved during IVF: a balance between efficacy and safety. Hum. Reprod. 33, 58–64 (2018).
pubmed: 29136154 doi: 10.1093/humrep/dex334
Nelissen, E. C. et al. Further evidence that culture media affect perinatal outcome: findings after transfer of fresh and cryopreserved embryos. Hum. Reprod. 27, 1966–1976 (2012).
pubmed: 22552689 doi: 10.1093/humrep/des145
Wen, J. et al. Birth defects in children conceived by in vitro fertilization and intracytoplasmic sperm injection: a meta-analysis. Fertil. Steril. 97, 1331–1337.e4 (2012).
pubmed: 22480819 doi: 10.1016/j.fertnstert.2012.02.053
Danan, C. et al. Evaluation of parental mitochondrial inheritance in neonates born after intracytoplasmic sperm injection. Am. J. Hum. Genet. 65, 463–473 (1999).
pubmed: 10417289 pmcid: 1377945 doi: 10.1086/302484
Belva, F. et al. Semen quality of young adult ICSI offspring: the first results. Hum. Reprod. 31, 2811–2820 (2016).
pubmed: 27707840 doi: 10.1093/humrep/dew245
Belva, F. et al. Reproductive hormones of ICSI-conceived young adult men: the first results. Hum. Reprod. 32, 439–446 (2017).
pubmed: 28007789 doi: 10.1093/humrep/dew324
Spits, C. et al. Whole-genome multiple displacement amplification from single cells. Nat. Protoc. 1, 1965–1970 (2006).
pubmed: 17487184 doi: 10.1038/nprot.2006.326
Mertens, J. et al. Detection of heteroplasmic variants in the mitochondrial genome through massive parallel sequencing. Bio-Protoc. 9, 1–19 (2019).
doi: 10.21769/BioProtoc.3283
Zambelli, F. et al. Accurate and comprehensive analysis of single nucleotide variants and large deletions of the human mitochondrial genome in DNA and single cells. Eur. J. Hum. Genet. 25, 1229–1236 (2017).
pubmed: 28832570 pmcid: 5643964 doi: 10.1038/ejhg.2017.129
Weissensteiner, H. et al. mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud. Nucleic Acids Res. 44, gkw247 (2016).
doi: 10.1093/nar/gkw247
Cibulskis, K. et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat. Biotechnol. 31, 213–219 (2013).
pubmed: 23396013 pmcid: 3833702 doi: 10.1038/nbt.2514
Castellana, S., Rónai, J. & Mazza, T. MitImpact: an exhaustive collection of pre-computed pathogenicity predictions of human mitochondrial non-synonymous variants. Hum. Mutat. 36, E2413–E2422 (2015).
pubmed: 25516408 doi: 10.1002/humu.22720
Sonney, S. et al. Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP. PLoS Comput. Biol. 13, e1005867 (2017).
Mertens, J. et al. Mitochondrial DNA variants segregate during human preimplantation development into genetically different cell lineages that are maintained postnatally. Hum. Mol. Genet. 31, 3629–3642 (2022).
pubmed: 35285472 pmcid: 9616571 doi: 10.1093/hmg/ddac059
Zambelli, F. et al. Random mutagenesis, clonal events and embryonic or somatic origin determine the mitochondrial DNA variant type and load in human pluripotent stem cells. Stem Cell Rep. 11, 102–114 (2018).
doi: 10.1016/j.stemcr.2018.05.007
Spelbrink, J. N. Functional organization of mammalian mitochondrial DNA in nucleoids: history, recent developments, and future challenges. IUBMB Life 62, 19–32 (2010).
pubmed: 20014006 doi: 10.1002/iub.282

Auteurs

Joke Mertens (J)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.

Florence Belva (F)

Center for Medical Genetics, UZ Brussel, Brussels, Belgium.

Aafke P A van Montfoort (APA)

Department of Obstetrics & Gynaecology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands.

Marius Regin (M)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.

Filippo Zambelli (F)

Basic Research Laboratory, Eugin Group, Barcelona, Spain.

Sara Seneca (S)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.
Center for Medical Genetics, UZ Brussel, Brussels, Belgium.

Edouard Couvreu de Deckersberg (E)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.

Maryse Bonduelle (M)

Center for Medical Genetics, UZ Brussel, Brussels, Belgium.

Herman Tournaye (H)

Brussels IVF, Center for Reproductive Medicine, UZ Brussel, Brussels, Belgium.
Research Group Biology of the Testis, Faculty of Medicine, Vrije Universiteit Brussel, Brussels, Belgium.

Katrien Stouffs (K)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.
Center for Medical Genetics, UZ Brussel, Brussels, Belgium.

Kurt Barbé (K)

Interfaculty Center Data Processing & Statistics, Vrije Universiteit Brussel, Brussels, Belgium.

Hubert J M Smeets (HJM)

Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
MHeNs School Institute for Mental Health and Neuroscience, GROW Institute for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.

Hilde Van de Velde (H)

Brussels IVF, Center for Reproductive Medicine, UZ Brussel, Brussels, Belgium.
Research Group Reproduction and Immunology, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.

Karen Sermon (K)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.

Christophe Blockeel (C)

Brussels IVF, Center for Reproductive Medicine, UZ Brussel, Brussels, Belgium.
Department of Obstetrics and Gynaecology, School of Medicine, University of Zagreb, Šalata 3, Zagreb, 10000, Croatia.

Claudia Spits (C)

Research Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium. claudia.spits@vub.be.

Classifications MeSH