Background: Endometriosis is associated with systemic metabolic indicators, including body mass index (BMI), glucose metabolism and lipid metabolism, while the association between metabolic indexes and the occurrence and assisted reproductive technology (ART) outcome of endometriosis is unclear. We aimed to evaluate the characteristics of systemic metabolic indexes of endometriosis patients with infertility and their effects on pregnancy outcome after ART treatment.
Methods: A retrospective cohort study involve 412 endometriosis patients and 1551 controls was conducted. Primary outcome was metabolic indexes, and secondary measures consisted of the influence of metabolic indexes on the number of retrieved oocytes and ART outcomes.
Results: Endometriosis patients had higher insulin (INS) [6.90(5.10-9.50) vs 6.50(4.80-8.90) μU/mL, P = 0.005]. A prediction model for endometriosis combining the number of previous pregnancies, CA125, fasting blood glucose (Glu) and INS, had a sensitivity of 73.9%, specificity of 67.8% and area under curve (AUC) of 0.77. There were no significant differences in ART outcomes and complications during pregnancy. The serum levels of Glu before pregnancy were associated with GDM both in endometriosis group (aOR 12.95, 95% CI 1.69-99.42, P = 0.014) and in control group (aOR 4.15, 95% CI 1.50-11.53, P = 0.006).
Conclusions: We found serum Glu is related to the number of retrieved oocytes in control group, serum INS is related to the number of retrieved oocytes in endometriosis group, while serum Glu and INS before pregnancy are related to the occurrence of GDM in two groups. A prediction model based on metabolic indexes was established, representing a promising non-invasive method to predict endometriosis patients with known pregnancy history.
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http://dx.doi.org/10.1186/s40001-023-01280-7 | DOI Listing |
Stress
December 2025
Technology Transfer and Innovation-Support Office, North-West University, Potchefstroom, South Africa.
Background: Self-reported mental stress is not consistently recognized as a risk factor for stroke. This prompted development of a novel algorithm for stress-phenotype indices to quantify chronic stress prevalence in relation to a modified stroke risk score in a South African cohort. The algorithm is based on biomarkers adrenocorticotrophic hormone, high-density lipoprotein cholesterol, high-sensitive cardiac-troponin-T, and diastolic blood pressure which exemplifies the stress-ischemic-phenotype index.
View Article and Find Full Text PDFVirulence
December 2025
Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Amino acid metabolism provides significant insight into the development and prevention of many viral diseases. Therefore, the present study aimed to compare the amino acid profiles of hand, foot, and mouth disease (HFMD) patients with those of healthy individuals and to further reveal the molecular mechanisms of HFMD severity. Using UPLC-MS/MS, we determined the plasma amino acid expression profiles of pediatric patients with HFMD (mild, = 42; severe, = 43) and healthy controls ( = 25).
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View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
December 2024
Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
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Parasit Vectors
December 2024
Department of Medical Parasitology and Mycology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Background: Cystic echinococcosis (CE) is a common neglected parasitic disease. Nanoparticles containing drugs have been widely utilized in various formulations for several purposes, including improving the bioavailability of drugs by increasing the solubility and dissolution rate of the nanoparticles. The purpose of this study was to evaluate the effects of solid lipid nanoparticles containing albendazole and conjugated to albumin (B-SLN + ABZ) as a novel treatment approach for hydatid cysts in vivo.
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