Chris Ottolenghi

Aging of oocyte, ovary, and human reproduction

Abstract: We review age‐related changes in the ovary and their effect on female fertility, with particular emphasis on follicle formation, follicle dynamics, and oocyte quality. The evidence indicates that the developmental processes leading to follicle formation set the rules determining follicle quiescence and growth. This regulatory system is maintained until menopause and is directly affected in at least some models of premature ovarian failure (POF), most strikingly in the Foxl2 mouse knockout, a model of human POF with monogenic etiology (blepharophimosis/ptosis/epicanthus inversus syndrome). Several lines of evidence indicate that if the ovarian germ cell lineage maintains regenerative potential, as recently suggested in the mouse, a role in follicle dynamics for germ stem cells, if any, is likely indirect or secondary. In addition, age‐related variations in oocyte quality in animal models suggest that reproductive competence is acquired progressively and might depend on parallel growth and differentiation of follicle cells and stroma. Genomewide analyses of the mouse oocyte transcriptome have begun to be used to systematically investigate the mechanisms of reproductive competence that are altered with aging. Investigative and therapeutic strategies can benefit from considering the role of continuous interactions between follicle cells and oocytes from the beginning of histogenesis to full maturation.

Constitutively active Foxo3 in oocytes preserves ovarian reserve in mice

During female reproductive life, ovarian follicle reserve is reduced by maturation and atresia until menopause ensues. Foxo3 is required to maintain the ovarian reserve in mice. Here we show that overexpression of constitutively active FOXO3 can increase ovarian reproductive capacity in mice. We find increased follicle numbers and decreased gonadotropin levels in aging FOXO3-transgenic mice compared with wild-type littermates, suggesting maintenance of a greater ovarian reserve. Based on cumulative progeny in aging animals, we find 31-49% increased fertility in transgenic females. The gene expression profile of Foxo3-/- knockout ovaries appears older than that of wild-type littermates, and the transgene induces a younger-looking profile, restoring much of the wild-type transcriptome. This is the first gain-of-function model of augmented reproductive reserve in mice, thus emphasizing the role of Foxo3 as a guardian of the ovarian follicle pool in mammals and a potential determinant of the onset of menopause.

Evolutionary Diversification of SPANX-N Sperm Protein Gene Structure and Expression

The sperm protein associated with nucleus in the X chromosome (SPANX) genes cluster at Xq27 in two subfamilies, SPANX-A/D and SPANX-N. SPANX-A/D is specific for hominoids and is fairly well characterized. The SPANX-N gave rise to SPANX-A/D in the hominoid lineage ∼7 MYA. Given the proposed role of SPANX genes in spermatogenesis, we have extended studies to SPANX-N gene evolution, variation, regulation of expression, and intra-sperm localization. By immunofluorescence analysis, SPANX-N proteins are localized in post-meiotic spermatids exclusively, like SPANX-A/D. But in contrast to SPANX-A/D, SPANX-N are found in all ejaculated spermatozoa rather than only in a subpopulation, are localized in the acrosome rather than in the nuclear envelope, and are expressed at a low level in several nongametogenic adult tissues as well as many cancers. Presence of a binding site for CTCF and its testis-specific paralogue BORIS in the SPANX promoters suggests, by analogy to MAGE-A1 and NY-ESO-1, that their activation in spermatogenesis is mediated by the programmed replacement of CTCF by BORIS. Based on the relative density of CpG, the more extended expression of SPANX-N compared to SPANX-A/D in nongametogenic tissues is likely attributed to differences in promoter methylation. Our findings suggest that the recent duplication of SPANX genes in hominoids was accompanied by different localization of SPANX-N proteins in post-meiotic sperm and additional expression in several nongonadal tissues. This suggests a corresponding functional diversification of SPANX gene families in hominoids. SPANX proteins thus provide unique targets to investigate their roles in the function of spermatozoa, selected malignancies, and for SPANX-N, in other tissues as well.

A Metabolic Study of Huntington's Disease.

Background Huntington’s disease patients have a number of peripheral manifestations suggestive of metabolic and endocrine abnormalities. We, therefore, investigated a number of metabolic factors in a 24-hour study of Huntington’s disease gene carriers (premanifest and moderate stage II/III) and controls. Methods Control (n = 15), premanifest (n = 14) and stage II/III (n = 13) participants were studied with blood sampling over a 24-hour period. A battery of clinical tests including neurological rating and function scales were performed. Visceral and subcutaneous adipose distribution was measured using magnetic resonance imaging. We quantified fasting baseline concentrations of glucose, insulin, cholesterol, triglycerides, lipoprotein (a), fatty acids, amino acids, lactate and osteokines. Leptin and ghrelin were quantified in fasting samples and after a standardised meal. We assessed glucose, insulin, growth hormone and cortisol concentrations during a prolonged oral glucose tolerance test. Results We found no highly significant differences in carbohydrate, protein or lipid metabolism markers between healthy controls, premanifest and stage II/III Huntington’s disease subjects. For some markers (osteoprotegerin, tyrosine, lysine, phenylalanine and arginine) there is a suggestion (p values between 0.02 and 0.05) that levels are higher in patients with premanifest HD, but not moderate HD. However, given the large number of statistical tests performed interpretation of these findings must be cautious. Conclusions Contrary to previous studies that showed altered levels of metabolic markers in patients with Huntington’s disease, our study did not demonstrate convincing evidence of abnormalities in any of the markers examined. Our analyses were restricted to Huntington’s disease patients not taking neuroleptics, anti-depressants or other medication affecting metabolic pathways. Even with the modest sample sizes studied, the lack of highly significant results, despite many being tested, suggests that the majority of these markers do not differ markedly by disease status.