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1.
Mol Cell Endocrinol ; 574: 111971, 2023 08 20.
Artículo en Inglés | MEDLINE | ID: mdl-37301504

RESUMEN

Follicle-stimulating hormone (FSH) is a glycoprotein that is assembled as a heterodimer of α/ß subunits in gonadotropes. Each subunit contains two N-glycan chains. Our previous in vivo genetic studies identified that at least one N-glycan chain must be present on the FSHß subunit for efficient FSH dimer assembly and secretion. Moreover, macroheterogeneity observed uniquely on human FSHß results in ratiometric changes in age-specific FSH glycoforms, particularly during menopausal transition. Despite the recognition of many prominent roles of sugars on FSH including dimer assembly and secretion, serum half-life, receptor binding and signal transduction, the N-glycosylation machinery in gonadotropes has never been defined. Here, we used a mouse model in which gonadotropes are GFP-labeled in vivo and achieved rapid purification of GFP+ gonadotropes from pituitaries of female mice at reproductively young, middle, and old ages. We identified by RNA-seq analysis 52 mRNAs encoding N-glycosylation pathway enzymes expressed in 3- and 8-10-month-old mouse gonadotropes. We hierarchically mapped and localized the enzymes to distinct subcellular organelles within the N-glycosylation biosynthetic pathway. Of the 52 mRNAs, we found 27 mRNAs are differentially expressed between the 3- and 8-10-month old mice. We subsequently selected 8 mRNAs which showed varying changes in expression for confirmation of abundance in vivo via qPCR analysis, using more expanded aging time points with distinct 8-month and 14-month age groups. Real time qPCR analysis indicated dynamic changes in expression of N-glycosylation pathway enzyme-encoding mRNAs across the life span. Notably, computational analysis predicted the promoters of genes encoding these 8 mRNAs contain multiple high probability binding sites for estrogen receptor-1 and progesterone receptor. Collectively, our studies define the N-glycome and identify age-specific dynamic changes in mRNAs encoding N-glycosylation pathway enzymes in mouse gonadotropes. Our studies suggest the age-related decline in ovarian steroids may regulate expression of N-glycosylation enzymes in mouse gonadotropes and explain the age-related N-glycosylation shift previously observed on human FSHß subunit in pituitaries of women.


Asunto(s)
Hormona Folículo Estimulante de Subunidad beta , Hormona Folículo Estimulante , Ratones , Femenino , Humanos , Animales , Lactante , Glicosilación , ARN Mensajero/genética , ARN Mensajero/metabolismo , Hormona Folículo Estimulante de Subunidad beta/genética , Hormonas Glicoproteicas de Subunidad alfa/genética , Hormona Folículo Estimulante Humana , Análisis de Secuencia de ARN
2.
PLoS One ; 17(5): e0268323, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35544473

RESUMEN

INTRODUCTION: Obesity is characterized by elevated lipids, insulin resistance and relative hypogonadotropic hypogonadism, reducing fertility and increasing risk of pregnancy complications and birth defects. We termed this phenotype 'Reprometabolic Syndrome' and showed that it can be recapitulated by acute infusions of lipid/insulin into healthy, normal weight, eumenorrheic women. Herein, we examined the broader impact of hyperlipidemia and euglycemic hyperinsulinemia on anterior pituitary trophic hormones and their targets. METHODS: Serum FSH, LH, TSH, growth hormone (GH), prolactin (PRL), thyroid hormones (free T4, total T3), cortisol, IGF-1, adiponectin, leptin and creatinine were measured in a secondary analysis of an interventional crossover study of 12 normal weight cycling women who underwent saline and heparin (control) infusion, or a euglycemic insulin infusion with heparin and Intralipid® (lipid/insulin), between days 2-5 in sequential menstrual cycles. RESULTS: In contrast to the decrease in gonadotropins, FSH and LH, infusion of lipid/insulin had no significant effects on other trophic hormones; TSH, PRL or GH. Thyroid hormones (fT4 and total T3), cortisol, IGF-1, adiponectin and creatinine also did not differ between saline or lipid/insulin infusion conditions. Leptin increased in response to lipid/insulin (p<0.02). CONCLUSION: Acute hyperlipidemia and hyperinsulinemia exerted differential, cell type specific effects on the hypothalamic-pituitary-gonadal, adrenal and thyroid axes. Elucidation of mechanisms underlying the selective modulation of pituitary trophic hormones, in response to changes in diet and metabolism, may facilitate therapeutic intervention in obesity-related neuroendocrine and reproductive dysfunction.


Asunto(s)
Hormona de Crecimiento Humana , Hiperinsulinismo , Hiperlipidemias , Adiponectina , Creatinina , Estudios Cruzados , Femenino , Hormona Folículo Estimulante , Hormona del Crecimiento , Heparina , Hormona de Crecimiento Humana/metabolismo , Humanos , Hidrocortisona , Hiperinsulinismo/complicaciones , Hiperlipidemias/complicaciones , Hiperlipidemias/tratamiento farmacológico , Insulina , Factor I del Crecimiento Similar a la Insulina , Leptina , Lípidos , Hormona Luteinizante , Obesidad/complicaciones , Hormonas Hipofisarias , Embarazo , Prolactina , Hormonas Tiroideas , Tirotropina/metabolismo
3.
Artículo en Inglés | MEDLINE | ID: mdl-30792692

RESUMEN

Follicle-stimulating hormone (FSH) is a pituitary-derived gonadotropin that plays key roles in male and female reproduction. The physiology and biochemistry of FSH have been extensively studied for many years. Beginning in the early 1990s, coincident with advances in the then emerging transgenic animal technology, and continuing till today, several gain-of-function (GOF) models have been developed to understand FSH homeostasis in a physiological context. Our group and others have generated a number of FSH ligand and receptor GOF mouse models. An FSH GOF model when combined with Fshb null mice provides a powerful genetic rescue platform. In this chapter, we discuss different GOF models for FSH synthesis, secretion and action and describe additional novel genetic models that could be developed in the future to further refine the existing models.

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