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      Metformin decreases miR-122, miR-223 and miR-29a in women with polycystic ovary syndrome

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          Abstract

          Metformin is associated with increased insulin sensitivity, whereas oral contraceptive pills (OCP) could increase the risk for type 2 diabetes (T2D) in women with polycystic ovary syndrome (PCOS). Certain miRNAs might serve as biomarkers for the risk of T2D. The aim of this study was to investigate changes in circulating miRNA levels during treatment with metformin and OCP in women with PCOS. Sixty-five women with PCOS according to Rotterdam criteria were randomized to metformin (2 g/day), metformin + OCP (150 mg desogestrel + 30 µg ethinylestradiol) or OCP alone for 12 months. Serum miRNA analysis was performed with individual RT-qPCR or Taqman low density array cards of 22 selected miRNAs previously related to PCOS, glucose and/or lipid metabolism. miR-122 and miR-29a levels were decreased after treatment with metformin compared with metformin + OCP and OCP group: miR-122: log 2 difference −0.7 ( P = 0.01) and −0.7 ( P = 0.02), miR-29a: log 2 difference −0.5 ( P = 0.01) and −0.4 ( P = 0.04), while miR-223 levels were decreased in the metformin + OCP group after treatment: log 2 difference −0.5 ( P = 0.02). During the treatment period, a significant weight loss was observed in the metformin group compared with the OCP group. In the OCP group, miRNA levels were unchanged during the treatment period. Levels of circulating miRNAs associated with lipid and glucose metabolism decreased during metformin treatment. Changes in miRNA levels in the metformin group could be explained by the simultaneous weight loss in the same group. These results support the notion that metformin treatment alone may be superior for metabolic health compared with OCP.

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          A new mathematical model for relative quantification in real-time RT-PCR.

          M. Pfaffl (2001)
          Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.
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            Circulating microRNAs as stable blood-based markers for cancer detection.

            Improved approaches for the detection of common epithelial malignancies are urgently needed to reduce the worldwide morbidity and mortality caused by cancer. MicroRNAs (miRNAs) are small ( approximately 22 nt) regulatory RNAs that are frequently dysregulated in cancer and have shown promise as tissue-based markers for cancer classification and prognostication. We show here that miRNAs are present in human plasma in a remarkably stable form that is protected from endogenous RNase activity. miRNAs originating from human prostate cancer xenografts enter the circulation, are readily measured in plasma, and can robustly distinguish xenografted mice from controls. This concept extends to cancer in humans, where serum levels of miR-141 (a miRNA expressed in prostate cancer) can distinguish patients with prostate cancer from healthy controls. Our results establish the measurement of tumor-derived miRNAs in serum or plasma as an important approach for the blood-based detection of human cancer.
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              Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome

              (2004)

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                November 2020
                01 October 2020
                : 9
                : 11
                : 1075-1084
                Affiliations
                [1 ]The Fertility Clinic , Department of Gynecology and Obstetrics, Zealand University Hospital, Køge, Denmark
                [2 ]Department of Science and Environment , Roskilde University, Roskilde, Denmark
                [3 ]Department of Endocrinology and Metabolism , Odense University Hospital, Odense, Denmark
                [4 ]Department of Clinical Immunology , Næstved Hospital, Næstved, Denmark
                [5 ]Aleris Hamlet Hospital Group , The Fertility Clinic, Søborg, Denmark
                Author notes
                Correspondence should be addressed to P B Udesen: pernilleudesen@ 123456hotmail.com
                Author information
                http://orcid.org/0000-0002-8338-8025
                http://orcid.org/0000-0002-3598-2775
                Article
                EC-20-0195
                10.1530/EC-20-0195
                7774773
                33112812
                35ea2fb7-818c-47d2-a3bc-5adac49ccced
                © 2020 The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 20 September 2020
                : 01 October 2020
                Categories
                Research

                metformin,polycystic ovary syndrome,microrna,mir-122,biomarkers

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