FLUCTUATIONS IN HUMAN SERUM LIPOPROTEINS DURING THE NORMAL MENSTRUAL CYCLE.
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ABSTRACT:
SUBMITTER: BARCLAY M
PROVIDER: S-EPMC1206923 | biostudies-other | 1965 Jul
REPOSITORIES: biostudies-other
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Project description:ContextExogenous estrogens have been shown to affect the lipid profile, leading to the hypothesis that endogenous estrogens may have similar effects.ObjectiveThe objective of the study was to evaluate the association between endogenous estrogen and serum lipoproteins across the menstrual cycle.DesignThis was a prospective cohort study.SettingThe study was conducted at the University at Buffalo, 2005-2007.ParticipantsParticipants included 259 healthy, regularly menstruating women aged 18-44 yr.Main outcome measuresSerum levels of total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and triglycerides measured up to eight times per cycle for up to two cycles were measured.ResultsTotal and LDL cholesterol were lower during the luteal phase as compared with the follicular phase (P < 0.001), and HDL levels were highest around ovulation (P < 0.001). More women were classified above the desirable range (LDL > or =130 mg/dl or total cholesterol > or =200 mg/dl) when measured during the follicular phase. Estradiol was positively associated with HDL in acute effects models [beta = 0.019, 95% confidence interval (CI) 0.015, 0.022] and inversely associated with total (beta = -0.017, 95% CI -0.020, -0.014) and LDL cholesterol (beta = -0.023, 95% CI -0.027, -0.018) and triglycerides (beta = -0.041, 95% CI -0.054, -0.029) in persistent effects models.ConclusionsEndogenous estrogen, like exogenous estrogen, appears to have beneficial effects on the lipid profile. Because lipoprotein cholesterol levels vary across the menstrual cycle, cyclic variations in lipoprotein levels may need to be considered in the design and interpretation of studies in reproductive-age women and in the clinical management of women's cholesterol.
| S-EPMC2936053 | biostudies-literature
Project description:BackgroundEstrogen receptor related beta (ERRbeta, ESRRB/NR3B2) is an orphan receptor that shares significant sequence homology with estrogen receptors ERalpha and ERbeta. ERR family members are reported to exhibit constitutive transcriptional activity; however, little is known about the biological function of ERRbeta. In an attempt to delineate its role, we examined expression of ERRbeta in normal human endometrium, a tissue that undergoes cyclic remodelling under the influence of estrogen and progesterone.MethodsWell-characterized endometrial tissue (n = 31), including full-thickness biopsies, was obtained from women with regular menstrual cycles. RT-PCR was used to measure mRNA encoding ERRbeta, the peroxisome proliferator activated receptor gamma coactivators (PGC)-1alpha and beta and to determine whether ERRbeta splice variant mRNAs were expressed. ERRbeta was immunolocalized using both single and double antibody immunohistochemistry.ResultsTotal ERRbeta mRNA appeared higher in proliferative phase samples but results did not reach significance. Transcripts corresponding to the long- and short-splice variants of ERRbeta as well as PGC1alpha and beta were detected but ERRbetaDelta10 was absent. ERRbeta protein was localized to cell nuclei within multiple endometrial cell types including the glands, stroma, endothelium and immune cells, including uterine natural killer (uNK) cells and macrophages. Fluorescent immunohistochemistry revealed that some cells co-expressed ERRbeta and ERalpha or ERbeta, for example, endothelial and uNK cells were ERRbeta+/ERbeta+.ConclusionsERRbeta mRNA and protein are expressed in healthy human endometrium. Further studies are warranted to characterize the functional impact of ERRbeta on endometrial biology.
| S-EPMC2583942 | biostudies-literature
Project description:Estradiol and progesterone vary along the menstrual cycle and exert opposite effects on a variety of neurotransmitter systems. However, few studies have addressed menstrual cycle-dependent changes in the brain. In the present study we investigate menstrual cycle changes in brain activation and connectivity patterns underlying cognition. Thirty-six naturally cycling women underwent functional MRI during two cognitive tasks: spatial navigation and verbal fluency. While no significant performance differences were observed along the menstrual cycle, the changes in brain activation patterns are strikingly similar during both tasks. Irrespective of the task, estradiol boosts hippocampal activation during the pre-ovulatory cycle phase and progesterone boosts fronto-striatal activation during the luteal cycle phase. Connectivity analyses suggest that the increase in right-hemispheric frontal activation is the result of inter-hemispheric decoupling and is involved in the down-regulation of hippocampal activation.
| S-EPMC6785086 | biostudies-literature
Project description:PurposeTo investigate the fluctuation of fibroglandular tissue volume (FV) and percentage of breast density (PD) during the menstrual cycle and compare with postmenopausal women by using three-dimensional magnetic resonance (MR)-based segmentation methods.Materials and methodsThis study was approved by the Institutional Review Board and was HIPAA compliant. Written informed consent was obtained. Thirty healthy female subjects, 24 premenopausal and six postmenopausal, were recruited. All subjects underwent MR imaging examination each week for 4 consecutive weeks. The breast volume (BV), FV, and PD were measured by two operators to evaluate interoperator variation. The fluctuation of each parameter measured over the course of the four examinations was evaluated on the basis of the coefficient of variation (CV).ResultsThe results from two operators showed a high Pearson correlation for BV (R(2) = 0.99), FV (R(2) = 0.98), and PD (R(2) = 0.96). The interoperator variation was 3% for BV and around 5%-6% for FV and PD. In the respective premenopausal and postmenopausal groups, the mean CV was 5.0% and 5.6% for BV, 7.6% and 4.2% for FV, and 7.1% and 6.0% for PD. The difference between premenopausal and postmenopausal groups was not significant (all P values > .05).ConclusionThe fluctuation of breast density measured at MR imaging during a menstrual cycle was around 7%. The results may help the design and interpretation of future studies by using the change of breast density as a surrogate marker to evaluate the efficacy of hormone-modifying drugs for cancer treatment or cancer prevention.
| S-EPMC3219914 | biostudies-literature
Project description:1. The serum-protein and -lipoprotein patterns of rats, given a purified diet containing 0%, 0.005% or 0.03% 2-acetamidofluorene, have been determined by disk electrophoresis. 2. An abnormal high-density lipoprotein was detected from the first week of the experiment in the serum of the animals given the carcinogen. The low-density lipoproteins also increased on prolonged feeding with the carcinogen.
| S-EPMC1270467 | biostudies-other
Project description:BackgroundIn clinical practice, females with MS often report menstrually-related symptom fluctuations. Hypothetically, use of oral contraceptives (OCs) could reduce these fluctuations, particularly continuous OCs (11+ weeks of consistent exogenous hormones followed by 1 week placebo).ObjectivesTo prospectively capture (1) whether neurologic and generalized symptoms vary with menstrual cycle phase and (2) whether type of contraception impacts symptom fluctuations.MethodsIn this two-center pilot study, females with MS and a regular menstrual cycle prospectively tracked their menstrual cycles and completed symptom surveys for up to 6 months. Participants were categorized as 1) users of oral contraceptives, either a) cyclic or b) continuous, or 2) endogenously cycling, either c) hormonal intrauterine device (IUD) users or d) "none users" (e.g. no hormonal contraception; included condoms, copper IUD, tubal ligation, "fertility awareness methods"). There was no correction for multiple analyses.ResultsAltogether, 47/70 participants (67%) provided >4 weeks of data and were included in the analyses. Mean (SD) age was 35.0 (0.9) years, median (IQR) EDSS was 1.5 (1-2) and mean (SD) SymptoMScreen score was 10.4 (9.6). For endogenously cycling patients (IUD and none users), fatigue (MFIS) was lower in the perimenstrual period than in the luteal period (p < 0.05). For continuous OC users, variability in symptoms was lower than for endogenously cycling females (MFIS: p < 0.01; Daily Hassles, from Uplift & Hassles Survey: p < 0.05) or cyclic OC users (MFIS: p < 0.001).ConclusionsIn this pilot study, symptom severity did not definitively fluctuate in relationship to the menstrual cycle in endogenously cycling participants. However, fatigue and daily hassles were less variable for participants using continuous OC than for cyclic OC users or no-OC users. Future confirmatory studies are warranted to further examine whether contraceptive choice can be leveraged to manage symptom fluctuation in cycling females with MS. Such studies could enroll larger cohorts over fewer cycles or employ incentivization and hormonal measurements to enhance participant retention and statistical power.
| S-EPMC11090415 | biostudies-literature
Project description:BackgroundCopeptin, a surrogate marker for arginin vasopressin production, is evaluated as an osmo-dependent stress and inflammatory biomarker in different diseases. We investigated copeptin during the menstrual cycle and its relationship to sex hormones, markers of subclinical inflammation and estimates of body fluid.MethodsIn 15 healthy women with regular menstrual cycles, blood was drawn on fifteen defined days of their menstrual cycle and was assayed for copeptin, progesterone, estradiol, luteinizing hormone, high-sensitive C-reactive protein, tumor necrosis factor-alpha and procalcitonin. Symptoms of fluid retention were assessed on each visit, and bio impedance analysis was measured thrice to estimate body fluid changes. Mixed linear model analysis was performed to assess the changes of copeptin across the menstrual cycle and the relationship of sex hormones, markers of subclinical inflammation and estimates of body fluid with copeptin.ResultsCopeptin levels did not significantly change during the menstrual cycle (p?=?0.16). Throughout the menstrual cycle, changes in estradiol (p?=?0.002) and in the physical premenstrual symptom score (p?=?0.01) were positively related to copeptin, but changes in other sex hormones, in markers of subclinical inflammation or in bio impedance analysis-estimated body fluid were not (all p?=?ns).ConclusionAlthough changes in estradiol and the physical premenstrual symptom score appear to be related to copeptin changes, copeptin does not significantly change during the menstrual cycle.
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Project description:Progress and advancement in assisted reproductive technologies (ART) and its outcomes are limited by the importance of research of endometrial receptivity being overlooked. Due to endometrial biopsy being invasive and in vitro studies lacking reproducibility in vivo, urine is an appealing alternative biofluid source for biomarker research as it can be collected in large quantities non-invasively. The discovery of extracellular vesicles (EVs) in urine (uEVs), has also opened a new avenue in this biomarker research, with these EVs harbouring thousands of proteins that hold promise for biomarker development. In this study urine was collected from human female volunteers and samples representing the different phases of the menstrual cycle were subjected to EV isolation via differential centrifugation and size exclusion chromatography. The resulting uEVs were analysed via Nanoparticle tracking analysis (NTA) to examine the different concentration and size of particles and proteomic analysis performed using shotgun label-free mass spectrometry on the uEV samples and neat urine samples. Our results showed that uEVs were found in numbers depending on the menstrual cycle phase but uEV size was not statistically altered during different stages of the menstrual cycle. Proteomics showed 50% of proteins detected in the neat urine were also present in the uEV samples with 813 proteins were unique in the uEV samples. Proteomics analysis also showed that the menstrual cycle phase affect the uEVs proteomic profile, with some proteins shown to be significantly upregulated and downregulated during the window of implantation phase of the cycle compared to the other non-receptive periods. This data highlights that uEVs characteristics are altered depending on the menstrual cycle phase suggesting the potential of uEVs being used as biomarkers for improving fertility.In this dataset we have the neat urine results.
2023-12-04 | PXD047128 | Pride
Project description:The cerebellum contains the vast majority of neurons in the brain and houses distinct functional networks that constitute at least two homotopic maps of cerebral networks. It is also a major site of sex steroid hormone action. While the functional organization of the human cerebellum has been characterized, the influence of sex steroid hormones on intrinsic cerebellar network dynamics has yet to be established. Here we investigated the extent to which endogenous fluctuations in estradiol and progesterone alter functional cerebellar networks at rest in a woman densely sampled over a complete menstrual cycle (30 consecutive days). Edgewise regression analysis revealed robust negative associations between progesterone and cerebellar coherence. Graph theory metrics probed sex hormones' influence on topological brain states, revealing relationships between sex hormones and within-network integration in Ventral Attention, Dorsal Attention, and SomatoMotor Networks. Together these results suggest that the intrinsic dynamics of the cerebellum are intimately tied to day-by-day changes in sex hormones.
| S-EPMC7691518 | biostudies-literature
Project description:Many enzymes in one-carbon metabolism (OCM) are up- or down-regulated by the sex hormones which vary diurnally and throughout the menstrual cycle. During pregnancy, estradiol and progesterone levels increase tremendously to modulate physiological changes in the reproductive system. In this work, we extend and improve an existing mathematical model of hepatic OCM to understand the dynamic metabolic changes that happen during the menstrual cycle and pregnancy due to estradiol variation. In particular, we add the polyamine drain on S-adenosyl methionine and the direct effects of estradiol on the enzymes cystathionine β-synthase (CBS), thymidylate synthase (TS), and dihydrofolate reductase (DHFR). We show that the homocysteine concentration varies inversely with estradiol concentration, discuss the fluctuations in 14 other one-carbon metabolites and velocities throughout the menstrual cycle, and draw comparisons with the literature. We then use the model to study the effects of vitamin B12, vitamin B6, and folate deficiencies and explain why homocysteine is not a good biomarker for vitamin deficiencies. Additionally, we compute homocysteine throughout pregnancy, and compare the results with experimental data. Our mathematical model explains how numerous homeostatic mechanisms in OCM function and provides new insights into how homocysteine and its deleterious effects are influenced by estradiol. The mathematical model can be used by others for further in silico experiments on changes in one-carbon metabolism during the menstrual cycle and pregnancy.
| S-EPMC8741061 | biostudies-literature