ObjectiveTo evaluate the efficacy and safety of dienogest treatment in patients who had received dienogest for 12 months or more to treat endometriosis.MethodsWe analyzed the clinical data of 188 women with endometriosis who had been treated with 2 mg of dienogest once a day for 12 months or more at a single institute. We evaluated changes in endometriosis-associated pain and endometrioma size, recurrence rate, and adverse events following dienogest administration. Bone mineral density (BMD) was measured in patients who were prescribed dienogest for more than 18 months.ResultsPain was significantly reduced at 12 months after dienogest medication. In those treated with dienogest due to recurrent endometrioma, the size of the endometrioma was significantly decreased at the 12-month and 18-month follow-ups. We found only one case of sonographic recurrence during dienogest administration among those who were treated postoperatively to prevent recurrence (1 of 114, 0.9%). The most common adverse drug reaction was uterine bleeding (3.2%), and other adverse events were generally tolerable and associated with low discontinuation rates (5.2%). Among the 50 patients in whom BMD was measured, 10 patients (20%) had a Z-score below the expected range for age.ConclusionThe administration of dienogest for a year or more seems to be highly effective in preventing recurrence after surgery, reducing endometriosis-associated pain, and decreasing the size of recurrent endometrioma, with a favorable safety and tolerability profile. However, BMD should be checked in patients on long-term medication due to possible bone loss in some women.
Viruses are the most abundant biological entities in the oceans, and account for a significant amount of the genetic diversity of marine ecosystems. However, there is little detailed information about the biodiversity of viruses in marine environments. Rapid advances in metagenomics have enabled the identification of previously unknown marine viruses. We performed metagenomic profiling of seawater samples collected at 6 sites in Goseong Bay (South Sea, Korea) during the spring, summer, autumn, and winter of 2014. The results indicated the presence of highly diverse virus communities. The DNA libraries from samples collected during four seasons were sequenced using Illumina HiSeq 2000. The number of viral reads was 136,850 during March, 70,651 during June, 66,165 during September, and 111,778 during December. Species identification indicated that Pelagibacter phage HTVC010P, Ostreococcus lucimarinus OIV5 and OIV1, and Roseobacter phage SIO1 were the most common species in all samples. For viruses with at least 10 reads, there were 204 species during March, 189 during June, 170 during September, and 173 during December. Analysis of virus families indicated that the Myoviridae was the most common during all four seasons, and viruses in the Polyomaviridae were only present during March. Viruses in the Iridoviridae were only present during three seasons. Additionally, viruses in the Iridoviridae, Herpesviridae, and Poxviridae, which may affect fish and marine animals, appeared during different seasons. These results suggest that seasonal changes in temperature contribute to the dynamic structure of the viral community in the study area. The information presented here will be useful for comparative analyses with other marine viral communities.
This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial License (http://creativecommons.org/ licenses/by-nc/3.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Purpose:To evaluate lipid profiles and liver enzymes as surrogate markers used for recognizing insulin resistance in Korean women with polycystic ovary syndrome (PCOS). Materials and Methods: 458 women with PCOS were divided into two groups: non-obese with a body mass index (BMI)<25.0 kg/m 2 and obese with a BMI≥25.0 kg/m 2 . Anthropometric measures and blood sampling for hormone assay, liver enzymes, lipid profiles and 75 g oral glucose tolerance test were performed. Insulin resistance was defined as homeostasis model assessment of insulin resistance (HOMA-IR)≥2.5. Areas under the receiver operating characteristic (ROC) curves were used to compare the power of serum markers. Multiple linear regression analysis was used to evaluate the contribution of each confounding factor for HOMA-IR. Results: In non-obese and obese groups, the ROC curve analyses demonstrated that the best marker for insulin resistance was triglyceride (TG), with the areas under the ROC curve of 0.617 and 0.837, respectively. Low-density lipoprotein cholesterol (LDL-C) was the significant marker for insulin resistance with areas under the ROC curve of 0.698 in obese group, but not significant in non-obese group. TG and LDL-C were significantly associated with HOMA-IR in both non-obese and obese PCOS women by multiple linear regression analysis. The optimal cut-off points of TG≥68.5 was a marker for predicting insulin resistance in non-obese PCOS patients and TG≥100.5 in obese group. Conclusion: TG can be used as a useful marker for insulin resistance in Korean women with PCOS, especially for obese patients.
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