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1.
Front Endocrinol (Lausanne) ; 13: 1057022, 2022.
Article in English | MEDLINE | ID: mdl-36531460

ABSTRACT

Objective: To investigate whether treatment with proprietary lactobacilli-loaded vaginal capsules improves an unfavorable vaginal microbiome diagnosed using a commercially available test and algorithm. Design: A randomized, double-blinded, placebo-controlled study was conducted in 74 women prior to undergoing fertility treatment at a single university fertility clinic between April 2019 and February 2021. The women were randomly assigned in a 1:1 ratio to receive one vaginal capsule per day for 10 days containing either a culture of more than 108 CFU of Lactobacillus gasseri and more than 108 CFU Lactobacillus rhamnosus (lactobacilli group) or no active ingredient (placebo group). Vaginal swabs for microbiota analysis were taken at enrollment, after treatment and in the cycle following treatment. Participants and methods: Women aged 18-40 years who prior to fertility treatment were diagnosed with an unfavorable vaginal microbiota, characterized by either a low relative load of Lactobacillus or a high proportion of disrupting bacteria using the criteria of the IS-pro™ diagnostic system (ARTPred, Amsterdam, the Netherlands), were enrolled in the study. The primary outcome measure was the proportion of women with improvement of the vaginal microbiota after intervention. Results: The vaginal microbiota improved after intervention in 34.2% of all participants (lactobacilli group 28.9%, placebo group 40.0%), with no significant difference in the improvement rate between the lactobacilli and placebo groups, RR = 0.72 (95% CI 0.38-1.38). Conclusion: This study indicates that administering vaginal probiotics may not be an effective means of modulating the vaginal microbiome for clinical purposes in an infertile population. However, a spontaneous improvement rate of 34.2% over a period of one to three months, confirming the dynamic nature of the vaginal microbiota, indicates that a strategy of postponing further IVF treatment to await microbiota improvement may be relevant in some patients, but further research is needed. Clinical trial registration: ClinicalTrials.gov, identifier NCT03843112.


Subject(s)
Microbiota , Probiotics , Vaginosis, Bacterial , Humans , Female , Lactobacillus , Vaginosis, Bacterial/drug therapy , Vaginosis, Bacterial/microbiology , Vagina/microbiology , Probiotics/therapeutic use
2.
Endocr Connect ; 9(11): 1075-1084, 2020 Nov.
Article in English | MEDLINE | ID: mdl-33112812

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: log2 difference -0.7 (P = 0.01) and -0.7 (P = 0.02), miR-29a: log2 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: log2 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.

3.
Reprod Biol Endocrinol ; 17(1): 34, 2019 Apr 05.
Article in English | MEDLINE | ID: mdl-30953560

ABSTRACT

BACKGROUND: Women with Polycystic Ovary Syndrome (PCOS) present a heterogeneous reproductive and metabolic profile with an increased lifetime risk of Type 2 Diabetes (T2D). Early biomarkers of these metabolic disturbances in PCOS women have not been identified. The abundance of circulating insulin gene promotor cell-free DNA (INS cfDNA) was shown to be valuable as a predictive biomarker of ß-cell death in individuals with Type 1 diabetes (T1D) as well as with gestational diabetes. Since ß-cell death is common to the development of T1D as well as in T2D, we aimed to investigate if insulin-coding DNA is more abundant in circulation of PCOS women (vs Controls) and if their levels change after 6 yr. follow-up as a potential measure to predict future T2D. METHODS: A cohort of 40 women diagnosed with PCOS according to Rotterdam 2003 criteria and eight healthy controls were examined at baseline and 6 years follow-up. Clinical measurements for evaluation of glucose homeostasis as well as blood/serum samples were obtained at each visit. Methylated and unmethylated INS cfDNA were quantified using droplet digital PCR. Differences between groups were assessed using Kruskall-Wallis test and Wilcoxon Signed rank test. RESULTS: At baseline, there was no detectable difference in copy number (copies/µL) of methylated (p = 0.74) or unmethylated INS cfDNA (p = 0.34) between PCOS and Control groups. At follow up, neither methylated (p = 0.50) nor unmethylated INScfDNA levels (p = 0.48) differed significantly between these groups. Likewise, when pooling the groups, there was no difference between baseline and follow up, in terms of copies of methylated or unmethylated INS cfDNA (p = 0.38 and p = 0.52, respectively). There were no significant correlations between counts of unmethylated or methylated cfDNA and the clinical measurements of ß-cell function and pre-diabetes. CONCLUSION: The circulating level of unmethylated and methylated INScfDNA is similar between PCOS and Controls and cannot be used to predict islet ß-cell loss and progression to Type 2 diabetes in a 6-year follow-up. TRIAL REGISTRATION: The Danish Data Protection Agency (REG-31-2016. Approval: 01-12-2015) and by the Danish Scientific Ethical committee of Region Zealand (Journal no. SJ-525. Approval: 13-06-2016), Clinicaltrials.gov, ( NCT03142633 , registered 1. March, 2017, Retrospectively registered).


Subject(s)
Cell-Free Nucleic Acids/blood , Diabetes Mellitus, Type 2/diagnosis , Insulin/genetics , Polycystic Ovary Syndrome/metabolism , Adult , Biomarkers/blood , DNA Methylation , Female , Humans , Longitudinal Studies
4.
Mol Cell Endocrinol ; 486: 34-46, 2019 04 15.
Article in English | MEDLINE | ID: mdl-30802528

ABSTRACT

Ovulation has been compared to a local inflammatory reaction. We performed an in silico study on a unique, PCR validated, transcriptome microarray study to evaluate if known inflammatory mechanisms operate during ovulation. The granulosa cells were obtained in paired samples at two different time points during ovulation (just before and 36 hours after ovulation induction) from nine women receiving fertility treatment. A total of 259 genes related to inflammation became significantly upregulated during ovulation (2-80 fold, p<0.05), while specific leukocyte markers were absent. The genes and pathway analysis indicated NF-KB-, MAPK- and JAK/STAT signalling (p<1.0E-10) as the major pathways involved in danger recognition and cytokine signalling to initiate inflammation. Upregulated genes further encoded enzymes in eicosanoid production, chemo-attractants, coagulation factors, cell proliferation factors involved in tissue repair, and anti-inflammatory factors to resolve the inflammation again. We conclude that granulosa cells, without involvement from the innate immune system, can orchestrate ovulation as a complete sterile inflammatory reaction.


Subject(s)
Granulosa Cells/immunology , Granulosa Cells/pathology , Immunity, Innate , Inflammation/genetics , Inflammation/pathology , Microarray Analysis , Ovulation/genetics , Adult , Cytokines/metabolism , Down-Regulation/genetics , Female , Humans , Signal Transduction/genetics , Up-Regulation/genetics
5.
Gynecol Endocrinol ; 31(9): 720-4, 2015.
Article in English | MEDLINE | ID: mdl-26291802

ABSTRACT

OBJECTIVES: The objective of this study is to investigate plasma endogenous thrombin generation in four different phenotypes of polycystic ovary syndrome (PCOS) defined by Body Mass Index (BMI) and insulin resistance (IR). PCOS is diagnosed according to the Rotterdam criteria. DESIGN: Multicenter cross-sectional study. SETTING: Two major University Hospitals in the Capital region of Denmark. PATIENTS: Hundred forty-eight European women with PCOS were consecutively recruited during April 2010-February 2012. Clinical examination, blood sampling, and DEXA scan were performed. MAIN OUTCOME MEASURES: Endogenous thrombin potential (ETP). RESULTS: PCOS women with phenotype BMI > 25 + IR have increased potential of thrombin generation. ETP is associated with total body fat mass, IR, and CRP. CONCLUSIONS: Obese and insulin resistant women with PCOS have elevated level of ETP corresponding to increased risk of CVD. ETP is related to well-known CVD risk factors in PCOS but not in general to the Rotterdam criteria.


Subject(s)
Insulin Resistance , Overweight/metabolism , Polycystic Ovary Syndrome/metabolism , Thrombin/metabolism , Absorptiometry, Photon , Adipose Tissue/diagnostic imaging , Adult , Body Composition , Body Mass Index , C-Reactive Protein/immunology , Cholesterol, HDL/metabolism , Cross-Sectional Studies , Female , Humans , Inflammation , Linear Models , Overweight/complications , Overweight/diagnostic imaging , Overweight/immunology , Polycystic Ovary Syndrome/complications , Polycystic Ovary Syndrome/diagnostic imaging , Polycystic Ovary Syndrome/immunology , Sex Hormone-Binding Globulin/metabolism , Testosterone/metabolism , Triglycerides/metabolism , Waist Circumference , Young Adult
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