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Cardiometabolic health in offspring of women with PCOS compared to healthy controls: a systematic review and individual participant data meta-analysis.
Gunning, MN, Sir Petermann, T, Crisosto, N, van Rijn, BB, de Wilde, MA, Christ, JP, Uiterwaal, CSPM, de Jager, W, Eijkemans, MJC, Kunselman, AR, et al
Human reproduction update. 2020;(1):103-117
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Abstract
BACKGROUND Women diagnosed with polycystic ovary syndrome (PCOS) suffer from an unfavorable cardiometabolic risk profile, which is already established by child-bearing age. OBJECTIVE AND RATIONALE The aim of this systematic review along with an individual participant data meta-analysis is to evaluate whether cardiometabolic features in the offspring (females and males aged 1-18 years) of women with PCOS (OPCOS) are less favorable compared to the offspring of healthy controls. SEARCH METHODS PubMed, Embase and gray literature databases were searched by three authors independently (M.N.G., M.A.W and J.C.) (last updated on 1 February 2018). Relevant key terms such as 'offspring' and 'PCOS' were combined. Outcomes were age-specific standardized scores of various cardiometabolic parameters: BMI, blood pressure, glucose, insulin, lipid profile and the sum scores of various cardiometabolic features (metabolic sum score). Linear mixed models were used for analyses with standardized beta (β) as outcome. OUTCOMES Nine relevant observational studies could be identified, which jointly included 1367 children: OPCOS and controls, originating from the Netherlands, Chile and the USA. After excluding neonates, duplicate records and follow-up screenings, a total of 885 subjects remained. In adjusted analyses, we observed that OPCOS (n = 298) exhibited increased plasma levels of fasting insulin (β = 0.21(95%CI: 0.01-0.41), P = 0.05), insulin-resistance (β = 0.21(95%CI: 0.01-0.42), P = 0.04), triglycerides (β = 0.19(95%CI: 0.02-0.36), P = 0.03) and high-density lipoprotein (HDL)-cholesterol concentrations (β = 0.31(95%CI: 0.08-0.54), P < 0.01), but a reduced birthweight (β = -116(95%CI: -195 to 38), P < 0.01) compared to controls (n = 587). After correction for multiple testing, however, differences in insulin and triglycerides lost their statistical significance. Interaction tests for sex revealed differences between males and females when comparing OPCOS versus controls. A higher 2-hour fasting insulin was observed among female OPCOS versus female controls (estimated difference for females (βf) = 0.45(95%CI: 0.07 to 0.83)) compared to the estimated difference between males ((βm) = -0.20(95%CI: -0.58 to 0.19)), with interaction-test: P = 0.03. Low-density lipoprotein-cholesterol differences in OPCOS versus controls were lower among females (βf = -0.39(95%CI: -0.62 to 0.16)), but comparable between male OPCOS and male controls (βm = 0.27(95%CI: -0.03 to 0.57)), with interaction-test: P < 0.01. Total cholesterol differences in OPCOS versus controls were also lower in females compared to the difference in male OPCOS and male controls (βf = -0.31(95%CI: -0.57 to 0.06), βm = 0.28(95%CI: -0.01 to 0.56), interaction-test: P = 0.01). The difference in HDL-cholesterol among female OPCOS versus controls (βf = 0.53(95%CI: 0.18-0.88)) was larger compared to the estimated mean difference among OPCOS males and the male controls (βm = 0.13(95%CI: -0.05-0.31), interaction-test: P < 0.01). Interaction test in metabolic sum score revealed a significant difference between females (OPCOS versus controls) and males (OPCOS versus controls); however, sub analyses performed in both sexes separately did not reveal a difference among females (OPCOS versus controls: βf = -0.14(95%CI: -1.05 to 0.77)) or males (OPCOS versus controls: βm = 0.85(95%CI: -0.10 to 1.79)), with P-value < 0.01. WIDER IMPLICATIONS We observed subtle signs of altered cardiometabolic health in OPCOS. Therefore, the unfavorable cardiovascular profile of women with PCOS at childbearing age may-next to a genetic predisposition-influence the health of their offspring. Sensitivity analyses revealed that these differences were predominantly observed among female offspring aged between 1 and 18 years. Moreover, studies with minimal risk of bias should elucidate the influence of a PCOS diagnosis in mothers on both sexes during fetal development and subsequently during childhood.
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Serum insulin level, HOMA-IR and prostate cancer risk: A systematic review and meta-analysis.
Saboori, S, Rad, EY, Birjandi, M, Mohiti, S, Falahi, E
Diabetes & metabolic syndrome. 2019;(1):110-115
Abstract
AIMS: This meta-analysis study was performed to assess serum insulin level and insulin resistance status in prostate cancer patients in observational studies. MATERIALS AND METHODS A systematic literature search was performed for observational studies in Scopus, PubMed, Ovid and ISI Web of Science up to July 2017. RESULTS From 2070 publication were searched firstly, only 10 studies with 9 and 6 arms included for the meta-analysis assessing serum insulin level and HOMA-IR status in prostate cancer patients, respectively. Pooled effects analysis showed that the Fasting insulin level was significantly higher in men with prostate cancer compared to control group (WMD = 2.12 μ IU/ml, 95%CI; 0.26, 3.99; P = 0.02). Sub-group analysis showed that the elevation in serum insulin level takes place only in patients with ages more than 65 years old (WMD = 3.88 μ IU/ml, 95%CI; 2.28, 5.48; P < 0.001). HOMA-IR was no significantly different between study groups. However, the difference got statistically significant after sub-grouping patients based on their age (WMD = 1.37, 95% CI; 0.61, 2.12; P < 0.001). CONCLUSION In conclusion, the results of this meta-analysis study showed higher fasting serum insulin and HOMA-IR levels especially in patients with ages more than 65 years..
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The difference between oats and beta-glucan extract intake in the management of HbA1c, fasting glucose and insulin sensitivity: a meta-analysis of randomized controlled trials.
He, LX, Zhao, J, Huang, YS, Li, Y
Food & function. 2016;(3):1413-28
Abstract
Increasing oats and beta-glucan extract intake has been associated with improved glycemic control, which is associated with the reduction in the development of diabetes. This study aims to assess the different effects between oat (whole and bran) and beta-glucan extract intake on glycemic control and insulin sensitivity. PubMed, Embase, Medline, The Cochrane Library, CINAHL and Web of Science were searched up to February 2014. We included randomized controlled trials with interventions that lasted at least four weeks that compared oats and beta-glucan (extracted from oats or other sources) intake with a control. A total of 1351 articles were screened for eligibility, and relevant data were extracted from 18 studies (n = 1024). Oat product dose ranged from 20 g d(-1) to 136 g d(-1), and beta-glucan extract dose ranged from 3 g d(-1) to 10 g d(-1). Compared with the control, oat intake resulted in a greater decrease in fasting glucose and insulin of subjects (P < 0.05), but beta-glucan extract intake did not. Furthermore, oat intake resulted in a greater decrease in glycosylated hemoglobin (HbA1c) (P < 0.001, I(2) = 0%) and fasting glucose (P < 0.001, I(2) = 68%) after removing one study using a concentrate and a different design and fasting insulin of type 2 diabetes (T2D) (P < 0.001, I(2) = 0%). The intake of oats and beta-glucan extracted from oats were effective in decreasing fasting glucose (P = 0.007, I(2) = 91%) and fasting insulin of T2D (P < 0.001, I(2) = 0%) and tented to lower HbA1c (P = 0.09, I(2) = 92%). Higher consumption of whole oats and oat bran, but not oat or barley beta-glucan extracts, are associated with lower HbA1c, fasting glucose and fasting insulin of T2D, hyperlipidaemic and overweight subjects, especially people with T2D, which supports the need for clinical trials to evaluate the potential role of oats in approaching to the management of glycemic control and insulin sensitivity of diabetes or metabolic syndrome subjects.