Reproduction requires from women enough energy depots to warrant an adequate nutritional supply to the fetus. Hence, adipose tissue is able to communicate with female hypothalamic-pituitary-ovary axis. The hypothesis of the project is that abnormalities in the quantity (absolute and relative to lean body mass), distribution and/or function of adipose tissue are associated with functional forms of female gonadal dysfunction in predisposed women, in a spectrum of anomalies that go from hypothalamic amenorrhea to the polycystic ovary syndrome (PCOS). To challenge this hypothesis, the investigators will study 5 groups of 10 women each: women with exercise-associated hypothalamic amenorrhea, women without ovulatory dysfunction that exercise equally, non-hyperandrogenic patients with PCOS, hyperandrogenic patients with PCOS, and healthy control women comparable to those with PCOS. The aims of the study will be: Primary objective: To identify novel signalling factors originating from adipose tissue and muscle using targeted and nontargeted evaluation of the proteome and of gene expression of superficial subcutaneous fat, deep subcutaneous fat (which mimics visceral adipose tissue) and skeletal muscle. Secondary objectives: 1. To study the serum adipokine profile - including those identified by the primary objective - and circulating gut hormones during fasting and after a glucose load in the 5 groups of women, and their associations with sexual hormones and body fat distribution. 2. To study body composition and body fat distribution in these women and their relationships with: 2.1, Sex steroid profiles. 2.2. Classic cardiovascular risk factors: carbohydrate metabolism, lipid profiles and blood pressure. 2.3 Markers of low-grade chronic inflammation. 2.4. Oxidative stress markers. 2.5. Cardiovascular autonomic function. 2.6. Surrogate markers of subclinical atherosclerosis. 2.7. Circulating concentrations of endocrine disruptors. 2.8. Oral and gut microbiome. The results will provide a better understanding of the mechanisms linking body energy depots with the female reproductive axis and, hopefully, the identification of potential biomarkers for the diagnosis and treatment of the disorders studied here.
Study Type
OBSERVATIONAL
Enrollment
50
* Weight and height. * Waist-to-hip ratio. * Body composition: Bioelectrical impedance and \[Dual energy X-ray absorptiometry (DEXA)\].
Energy availability assessment.
* Lipid profile. * Oral glucose tolerance test: plasma glucose and insulin, insulin sensitivity indices, gastrointestinal hormones, adipokines, oxidative stress markers. * Sex steroid profile. * Hypothalamic-pituitary-adrenal axis study. * Ferrokinetic study. * Subclinical chronic inflammatory markers.
* Polycystic ovarian morphology. * Carotid intima-media thickness. * Eco-FAT: Ultrasound measurements of adipose tissue depots including sc, preperitoneal, intraperitoneal (ip), mesenteric, and perirenal fat thickness.
A\&D TM2430EX oscillometric devices (A\&D Company Limited, Tokyo, Japan).
Subcutaneous fat tissue and muscle tissue for proteomics an gene expression studies.
Parasympathetic and sympathetic responses to deep breathing, Valsalva's maneuver and orthostatism.
Microbiome studies.
Endocrinology and Nutrition
Madrid, Madrid, Spain
RECRUITINGAdipokine and myokine signaling identification
Time frame: Up to 5 years
Circulating adipokine profile
At fasting and after an oral glucose challenge: Circulating concentrations of Leptin, Adiponectin, Chemerin, Lipocalin-2, Adipsin, Plasminogen Activator Inhibitor (PAI)-1, Monocyte Chemoattractant Protein (MCP)-1, and Soluble Leptin Receptor by multianalyte profiling on the Luminex Magpix system (Luminex Technologies, Austin, USA.).
Time frame: Up to 5 years
Appetite regulation hormonal profile
At fasting and after an oral glucose challenge: Circulating concentrations of Amylin, C-Peptide, Ghrelin, Gastric Inhibitory Peptide (GIP), Glucagon-Like Peptide (GLP)-1, Glucagon, IL-6, Insulin, Pancreatic Polypeptide (PP), Peptide YY, Tumor Necrosis Factor (TNF)-α by multianalyte profiling on the Luminex Magpix system (Luminex Technologies, Austin, USA.).
Time frame: Up to 5 years
Association between body mass index and sex steroids
Body mass index in in kg/m\^2. Sex steroids (including circulating total testosterone, estradiol, androstenedione, dehydroepiandrosterone-sulphate and estrone) measured by liquid chromatography tandem mass spectrometry (LC-MS/MS). Free testosterone will be calculated from total testosterone and sex hormone binding globulin levels.
Time frame: Up to 5 years
Association between percentage of fat mass with respect to total body weight and sex steroids
Fat mass% by bioelectric impedanciometry and DEXA. Sex steroids (including circulating total testosterone, estradiol, androstenedione, dehydroepiandrosterone-sulphate and estrone) measured by liquid chromatography tandem mass spectrometry (LC-MS/MS). Free testosterone will be calculated from total testosterone and sex hormone binding globulin levels.
Time frame: Up to 5 years
Association between percentage of lean mass with respect to total body weight and sex steroids
Lean mass% by bioelectric impedanciometry and DEXA. Sex steroids (including circulating total testosterone, estradiol, androstenedione, dehydroepiandrosterone-sulphate and estrone) measured by liquid chromatography tandem mass spectrometry (LC-MS/MS). Free testosterone will be calculated from total testosterone and sex hormone binding globulin levels.
Time frame: Up to 5 years
Association between body fat depots and sex steroids
Adipose tissue depots will be estimated using a Toshiba Nemio XG SSA-580A Diagnostic Ultrasound System. Minimum sc and preperitoneal fat thicknesses will be measured at the level of the xyphoid process. Maximum sc fat thickness will be measured at the level of the umbilicus. Intraperitoneal fat thickness will be measured placing a probe transversally in the midline of abdomen, 2 cm above the umbilicus. Three measures of ip fat thickness will be obtained: the distance from the fascia of rectus abdominis muscle to the vertebral column, the distance from the peritoneum to the vertebral column, and the distance from the linea alba to the vertebral column. Perirenal fat thickness will be estimated as the distance from the perirenal fascia to the renal surface. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and insulin resistance.
Fat mass, lean mass and body fat depots will be measured as previously described. Fasting glucose and insulin levels will be used for calculating the homeostasis model assessment of insulin resistance (HOMA-IR), and the composite insulin sensitivity index will be estimated from the glucose and insulin concentrations measured during the oral glucose tolerance test. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and lipids.
Fat mass, lean mass and body fat depots will be measured as previously described. Circulating HDL-cholesterol and phospholipid levels will be measured by enzymatic methods after precipitation of plasma with phosphotungstic acid and Mg2+. Total cholesterol and triglyceride levels will be determined by enzymatic methods. LDL-cholesterol concentrations will be estimated by Friedewald's equation. Circulating apolipoprotein (Apo) AI, Apo B100, and lipoprotein (a) levels will be determined by kinetic immunonephelometry. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and office blood pressure.
Fat mass, lean mass and body fat depots will be measured as previously described. Office blood pressure will be determined as the mean of three manual sphygmomanometer readings in the sitting position. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and ambulatory blood pressure monitoring parameters.
Fat mass, lean mass and body fat depots will be measured as previously described. Twenty-four-hour ambulatory blood pressure monitoring will be performed using an A\&D TM2430EX oscillometric device (A\&D Co., Ltd., Tokyo, Japan). The cuff (12 × 22 cm for lean participants, 14 × 30 cm for overweight or obese participants) will placed on the nondominant arm in every woman. The period from 0700 to 2300 h will be considered daytime, and from 2300 until 0700 h the next day will be considered nighttime, reflecting the usual sleeping habits of Spaniards. Systolic, diastolic, and mean blood pressure as well as heart rate will be measured every 20 min during daytime and every 30 min during nighttime. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and cardiovascular autonomic function tests.
Fat mass, lean mass and body fat depots will be measured as previously described. Cardiovascular autonomic function will be assessed by the blood pressure and heart rate responses to active standing, and Ewing and Clarke's tests. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and carotid intima-media thickness.
Fat mass, lean mass and body fat depots will be measured as previously described. Imaging will be conducted using a high-resolution 7.5-MHz phased-array transducer by the same trained operator in all the participants. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and oxidative stress.
Fat mass, lean mass and body fat depots will be measured as previously described. Oxidative stress profile will be measured by enzymatic assays: Plasma thiobarbituric acid reactive substances, total antioxidant capacity, nitrotyrosine, protein carbonyl groups and erythrocyte glutathione peroxidase levels. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
Association between body composition, sex steroids, and microbiome
Participants will be instructed to collect fecal and salivary samples. DNA samples wil be used for massive sequencing of 16S ribosomal DNA (rDNA) amplicons in a MiSeq platform (Illumina). The bacterial diversity will be estimated by using Shannon, Chao 1, Jaccard, and Sorensen indexes with their SDs. Taxonomic affiliations will be assigned by using the RDP\_classifier from the Ribosomal Database Project (RDP), and readings with RDP score value \<0.8 will be assigned to the upper taxonomic rank, leaving the last rank as unidentified. Sex steroids will be measured as previously described.
Time frame: Up to 5 years
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