Impact of parity on the incidence of ovarian cancer subtypes: a population-based case-control study

Background Parity is known to have a protective effect as regards ovarian cancer, but its effect on the different histological subtypes of ovarian cancer is not well known. The impact of parity on the incidence of ovarian cancer subtypes was studied. Material and methods All Finnish women diagnosed 1994-2013 with ovarian cancer for the first time were included. Altogether, 5412 cases of ovarian cancer were identified in the Finnish Cancer Registry and stratified according to morphology into serous, mucinous, endometrioid, clear cell and others. Five age-matched controls were randomly selected for each case from the Finnish National Population Registry. Data on postmenopausal hormonal therapy were derived from the Registry of Prescribed drugs and used as cofactors. Multivariate conditional logistic regression for matched case-control data was used to examine the associations between parity parameters and ovarian cancer risk. Results Parous women had lower risk than nulliparous women in getting ovarian cancer of any type under age of 55 years. The odds ratio (OR) for serous cancer was 0.65 (95% confidence interval 0.56-0.77), for mucinous cancer 0.66 (0.52-0.83), for endometrioid cancer 0.52 (0.40-0.68), for clear-cell cancer 0.30 (0.19-0.46) and for other types 0.59 (0.43-0.80). In women aged 55 or older, the respective ORs were 0.86 (0.75-0.99), 0.78 (0.57-1.07), 0.61 (0.47-0.79), 0.44 (0.29-0.66) and 0.74 (0.57-0.95), adjusted for hormone therapy. Number of childbirths was associated with a trend toward reduction of risk, especially in serous and clear-cell cancers. Higher age at first birth was associated with higher risk of clear-cell cancer but otherwise age at first or last birth did not have an impact on the incidence of cancer subtypes. Conclusions Childbirths decrease the risk of all histologic subtypes of epithelial ovarian cancer in women in premenopausal and postmenopausal age.Peer reviewe

Population-based data at ages 31 and 46 show decreased HRQoL and life satisfaction in women with PCOS symptoms.

CONTEXT: Polycystic ovary syndrome (PCOS) is associated with decreased health-related quality of life (HRQoL), but longitudinal data beyond the reproductive years are lacking, and the impact of isolated PCOS symptoms is unclear. OBJECTIVE: To study generic HRQoL using 15D, life satisfaction, and self-reported health status in women with PCOS symptoms at ages 31 and 46yr. DESIGN: A longitudinal assessment using the Northern Finland Birth Cohort 1966. SETTING: General community. PARTICIPANTS: The 15D data were available for women reporting isolated oligomenorrhea (OA;at age 31yr:214 and 46yr: 211), isolated hirsutism (H; 31yr:211 and 46yr:216), OA+H (PCOS; 31yr:74 and 46yr:75), or no PCOS symptoms (controls; 31yr:1382 and 46yr:1412). Data for life satisfaction and current health status were available for OA (31yr:329 and 46yr:247), H (31yr:323 and 46yr:238), PCOS (31yr:125 and 46yr:86), control (31yr:2182 and 46yr:1613) groups. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): 15D HRQoL, questionnaires on life satisfaction, and self-reported health status. RESULTS: HRQoL was lower at ages 31 and 46 in women with PCOS or H compared with the controls. PCOS was an independent risk factor for low HRQoL, and the decrease in HRQoL in PCOS was comparable to that of women with other chronic conditions, like asthma, migraine, rheumatoid arthritis, and depression. The risk for low HRQoL in PCOS remained significant after adjusting for BMI, hyperandrogenism, and socioeconomic status. Mental distress was the strongest contributing factor to HRQoL. PCOS was also associated with a risk for low life satisfaction and a 4-fold risk for reporting a poor health status. CONCLUSIONS: Women with PCOS present with low HRQoL, decreased life satisfaction, and a poorer self-reported health status up to their late reproductive years. Assessments and interventions aiming to improve HRQoL in PCOS should be targeted beyond fertile age

The Gut Microbiome in Polycystic Ovary Syndrome (PCOS) and its Association with Metabolic Traits

This work was funded by Estonian Research Council grants PUT 1371 (to E.O.), EMBO Installation grant 3573 (to E.O.) … E.O. was supported by European Regional Development Fund Project No. 15-0012 GENTRANSMED and Estonian Center of Genomics/Roadmap II project No 16-0125. S.A. was supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) and European Regional Development Fund (FEDER): grants RYC-2016-21199 and ENDORE (SAF2017-87526-R); and by FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento: MENDO (B-CTS-500-UGR18).Purpose: Despite gut microbiome being widely studied in metabolic diseases, its role in polycystic ovary syndrome (PCOS) has been scarcely investigated. The aim of our study was to test for possible associations between gut microbiome and PCOS in late fertile age women and investigate whether changes in the gut microbiome correlate with PCOS-related metabolic parameters. Methods: We compared the 16S rRNA sequenced gut microbiome of 102 PCOS women with 201 age- and body mass index (BMI) matched non-PCOS women. Clinical and biochemical characteristics of the participants were assessed at ages 31 and 46 and analyzed in the context of gut microbiome data at the age of 46. Results: Bacterial diversity indices did not differ significantly between PCOS and controls. We identified four genera whose balance helps to differentiate between PCOS and non-PCOS. In the whole cohort, the abundance of two genera from the order Clostridiales was correlated with several PCOS-related markers. When investigating the gut microbiome composition in PCOS women with different BMI and glucose tolerance groups, prediabetic PCOS women had significantly lower alpha diversity and markedly increased abundance of genus Dorea compared to women with normal glucose tolerance. Conclusions: Our data indicate that PCOS and non-PCOS women at late fertile age with similar BMI do not signficantly differ in gut microbiota. However, there are significant microbial changes in PCOS individuals depending on their metabolic health. Further studies are needed in order to further understand these changes in more detail.Estonian Research Council grants PUT 1371EMBO Installation grant 3573European Regional Development Fund Project No. 15-0012 GENTRANSMEDEstonian Center of Genomics/Roadmap II project No 16-0125Spanish Ministry of Economy, Industry and Competitiveness (MINECO) European Regional Development Fund (FEDER) RYC-2016-21199 and ENDORE (SAF2017-87526-R)FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento: MENDO (B-CTS-500-UGR18

Human pluripotent stem cell-derived cells endogenously expressing follicle-stimulating hormone receptors: modeling the function of an inactivating receptor mutation

Follicle-stimulating hormone (FSH) is crucial in the development and regulation of reproductive functions. The actions of human FSH and its receptor (FSHR) and mutations therein have mainly been studied using in vivo models, primary cells, cancer cells and cell lines ectopically expressing the FSHR. To allow studies of endogenous FSHR function in vitro, we differentiated FSHR-expressing cells from human pluripotent stem cells. FSH stimulation of the wild-type (WT), but not the inactivating Finnish founder mutant (A189V) receptor, activated the canonical cyclic adenosine monophosphate (cAMP)-dependent signaling pathway and downstream mediators. To investigate protein-protein interaction partners of FSHR at resting state and upon FSH stimulation, we expressed FSHR in HEK293 cells followed by affinity purification mass spectrometry analyses. We found 19 specific high-confidence interacting proteins for WT FSHR and 14 for A189V FSHR, several of which have been linked to infertility. Interestingly, while only WT FSHR interacted with FSH, insulin-like growth factor 1 receptor (IGF1R), for example, interacted with both WT and A189V FSHR upon FSH stimulation. In conclusion, our protocol allows detailed studies of FSH action and disease modeling in human cells endogenously expressing FSHR

Early and Late Postnatal Myocardial and Vascular Changes in a Protein Restriction Rat Model of Intrauterine Growth Restriction

Intrauterine growth restriction (IUGR) is a risk factor for cardiovascular disease in later life. Early structural and functional changes in the cardiovascular system after IUGR may contribute to its pathogenesis. We tested the hypothesis that IUGR leads to primary myocardial and vascular alterations before the onset of hypertension. A rat IUGR model of maternal protein restriction during gestation was used. Dams were fed low protein (LP; casein 8.4%) or isocaloric normal protein diet (NP; casein 17.2%). The offspring was reduced to six males per litter. Immunohistochemical and real-time PCR analyses were performed in myocardial and vascular tissue of neonates and animals at day 70 of life. In the aortas of newborn IUGR rats expression of connective tissue growth factor (CTGF) was induced 3.2-fold. At day 70 of life, the expression of collagen I was increased 5.6-fold in aortas of IUGR rats. In the hearts of neonate IUGR rats, cell proliferation was more prominent compared to controls. At day 70 the expression of osteopontin was induced 7.2-fold. A 3- to 7-fold increase in the expression of the profibrotic cytokines TGF-β and CTGF as well as of microfibrillar matrix molecules was observed. The myocardial expression and deposition of collagens was more prominent in IUGR animals compared to controls at day 70. In the low-protein diet model, IUGR leads to changes in the expression patterns of profibrotic genes and discrete structural abnormalities of vessels and hearts in adolescence, but, with the exception of CTGF, not as early as at the time of birth. Invasive and non-invasive blood pressure measurements confirmed that IUGR rats were normotensive at the time point investigated and that the changes observed occurred independently of an increased blood pressure. Hence, altered matrix composition of the vascular wall and the myocardium may predispose IUGR animals to cardiovascular disease later in life

Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome

Study QuestionWhat is the recommended assessment and management of women with polycystic ovary syndrome (PCOS), based on the best available evidence, clinical expertise, and consumer preference? Summary AnswerInternational evidence-based guidelines including 166 recommendations and practice points, addressed prioritized questions to promote consistent, evidence-based care and improve the experience and health outcomes of women with PCOS. What is Known AlreadyPrevious guidelines either lacked rigorous evidence-based processes, did not engage consumer and international multidisciplinary perspectives, or were outdated. Diagnosis of PCOS remains controversial and assessment and management are inconsistent. The needs of women with PCOS are not being adequately met and evidence practice gaps persist. Study Design, Size, DurationInternational evidence-based guideline development engaged professional societies and consumer organizations with multidisciplinary experts and women with PCOS directly involved at all stages. Appraisal of Guidelines for Research and Evaluation (AGREE) II-compliant processes were followed, with extensive evidence synthesis. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework was applied across evidence quality, feasibility, acceptability, cost, implementation and ultimately recommendation strength. Participants/Materials, Setting, MethodsGovernance included a six continent international advisory and a project board, five guideline development groups (GDGs), and consumer and translation committees. Extensive health professional and consumer engagement informed guideline scope and priorities. Engaged international society-nominated panels included pediatrics, endocrinology, gynecology, primary care, reproductive endocrinology, obstetrics, psychiatry, psychology, dietetics, exercise physiology, public health and other experts, alongside consumers, project management, evidence synthesis, and translation experts. Thirty-seven societies and organizations covering 71 countries engaged in the process. Twenty face-to-face meetings over 15months addressed 60 prioritized clinical questions involving 40 systematic and 20 narrative reviews. Evidence-based recommendations were developed and approved via consensus voting within the five guideline panels, modified based on international feedback and peer review, with final recommendations approved across all panels. Main Results and the Role of ChanceThe evidence in the assessment and management of PCOS is generally of low to moderate quality. The guideline provides 31 evidence based recommendations, 59 clinical consensus recommendations and 76 clinical practice points all related to assessment and management of PCOS. Key changes in this guideline include: (a) considerable refinement of individual diagnostic criteria with a focus on improving accuracy of diagnosis; (b) reducing unnecessary testing; (c) increasing focus on education, lifestyle modification, emotional wellbeing and quality of life; and (d) emphasizing evidence based medical therapy and cheaper and safer fertility management. Limitations, Reasons for CautionOverall evidence is generally low to moderate quality, requiring significantly greater research in this neglected, yet common condition, especially around refining specific diagnostic features in PCOS. Regional health system variation is acknowledged and a process for guideline and translation resource adaptation is provided. Wider Implications of the FindingsThe international guideline for the assessment and management of PCOS provides clinicians with clear advice on best practice based on the best available evidence, expert multidisciplinary input and consumer preferences. Research recommendations have been generated and a comprehensive multifaceted dissemination and translation program supports the guideline with an integrated evaluation program.Peer reviewe

Complex systems and the technology of variability analysis

Characteristic patterns of variation over time, namely rhythms, represent a defining feature of complex systems, one that is synonymous with life. Despite the intrinsic dynamic, interdependent and nonlinear relationships of their parts, complex biological systems exhibit robust systemic stability. Applied to critical care, it is the systemic properties of the host response to a physiological insult that manifest as health or illness and determine outcome in our patients. Variability analysis provides a novel technology with which to evaluate the overall properties of a complex system. This review highlights the means by which we scientifically measure variation, including analyses of overall variation (time domain analysis, frequency distribution, spectral power), frequency contribution (spectral analysis), scale invariant (fractal) behaviour (detrended fluctuation and power law analysis) and regularity (approximate and multiscale entropy). Each technique is presented with a definition, interpretation, clinical application, advantages, limitations and summary of its calculation. The ubiquitous association between altered variability and illness is highlighted, followed by an analysis of how variability analysis may significantly improve prognostication of severity of illness and guide therapeutic intervention in critically ill patients

Deterministic Chaos and Fractal Complexity in the Dynamics of Cardiovascular Behavior: Perspectives on a New Frontier

Physiological systems such as the cardiovascular system are capable of five kinds of behavior: equilibrium, periodicity, quasi-periodicity, deterministic chaos and random behavior. Systems adopt one or more these behaviors depending on the function they have evolved to perform. The emerging mathematical concepts of fractal mathematics and chaos theory are extending our ability to study physiological behavior. Fractal geometry is observed in the physical structure of pathways, networks and macroscopic structures such the vasculature and the His-Purkinje network of the heart. Fractal structure is also observed in processes in time, such as heart rate variability. Chaos theory describes the underlying dynamics of the system, and chaotic behavior is also observed at many levels, from effector molecules in the cell to heart function and blood pressure. This review discusses the role of fractal structure and chaos in the cardiovascular system at the level of the heart and blood vessels, and at the cellular level. Key functional consequences of these phenomena are highlighted, and a perspective provided on the possible evolutionary origins of chaotic behavior and fractal structure. The discussion is non-mathematical with an emphasis on the key underlying concepts

Weight gain and dyslipidemia in early adulthood associate with polycystic ovary syndrome: prospective cohort study

CONTEXT: Obesity affects the majority of women with polycystic ovary syndrome (PCOS), but previous studies are inconsistent about the prevalence of obesity and the importance of weight gain in the development of the syndrome. OBJECTIVE: Our objective was to explore the association between weight, weight gain, hyperandrogenism, and PCOS from adolescence to late adulthood. DESIGN: The study includes a prospective Northern Finland Birth Cohort 1966 study including 5889 females born in 1966 and followed at the ages of 14, 31, and 46 years. SETTING: The setting was the general community. PARTICIPANTS: Women presenting both oligo/amenorrhea (OA) and hirsutism (H) at age 31 (N = 125) or with formally diagnosed PCOS by age 46 (N = 181) were compared with women without PCOS symptoms or diagnosis (n = 1577). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Body mass index (BMI), weight change through life, waist circumference, Free Androgen Index, lipids, glucose, insulin, high-sensitivity C-reactive protein, homeostatic model assessment for insulin resistance, and PCOS. RESULTS: Women with OA+H at age 31 or diagnosis of PCOS by age 46 had the highest BMI at all ages compared with the controls. Increase of BMI between ages 14 and 31, but not between 31 and 46, was greater in women with isolated OA (P = .006), OA+H (P = .001), and diagnosis of PCOS (P = .001) compared with controls. In the multivariate analysis, PCOS was significantly associated with BMI at all ages (BMI at age 31: odds ratio [OR] = 1.05 [95% confidence interval (CI), 1.00-1.10], Free Androgen Index (OR = 1.08 [95% CI, 1.03-1.14]), serum levels of insulin (OR = 1.05 [95% CI, 1.00-1.09]), and triglycerides (OR = 1.48 [95% CI, 1.08-2.03]). CONCLUSIONS: Symptoms or diagnosis of PCOS are associated with dyslipidemia, hyperandrogenemia, and significantly increased weight gain, especially in early adulthood. This observation is important because it may identify a sensitive time period when weight gain plays a crucial role in the emergence of PCOS and when preventive actions against metabolic and cardiovascular diseases should be implemented