Hormones-International Journal of Endocrinology and Metabolism最新文献

Purpose: Increasing levels of infertility in Western countries has drawn ever more scientific attention to the role in this trend of endocrine disruptors, such as bisphenol A, a substance now banned in some cases and some countries. Because this substance has been replaced by the structurally similar bisphenol S (BPS), this study focused on the effects of the latter on early mice embryo development.

Methods: Cultures of CD1 mice embryos with varying concentrations of BPS were compared with control blank cultures in order to examine the survival rate of embryos according to BPS concentration and culture day.

Results: The administration of BPS at any dose (1, 10, and 100 pg/ml) in cultures of mice embryos led to a significant decrease in their survival rate. The negative effect of BPS was seen to start early (day 1 of experiment), even with the lowest employed dose (1 pg/ml).

Conclusions: This is, to the best of our knowledge, the first study to investigate the impact of BPS on the survival rate of mice embryos. In this study, potential adverse effects of BPS on early CD1 mice embryo development with regard to survival rate have been identified. Dose of BPS, timing of BPS administration, and time duration of exposure play a critical role in the decrease of mice embryo survival rate as compared to control cultures. These findings raise concerns regarding the safety of BPS and highlight the need for further research into the effect of this substance on human embryos.

Aims: Nonalcoholic fatty liver disease (NAFLD) is a multisystem disease that can trigger the metabolic syndrome. Early prevention and treatment of NAFLD is still a huge challenge for patients and clinicians. The aim of this study was to develop and validate machine learning (ML)-based predictive models. The model with optimal performance would be developed as a set of simple arithmetic tools for predicting the risk of NAFLD individually.

Methods: Statistical analyses were performed in 2428 individuals extracted from the National Health and Nutrition Examination Survey (NHANES, cycle 2017-2020.3) database. Feature variables were selected by the least absolute shrinkage and selection operator (LASSO) regression. Seven ML algorithms, including logistic regression (LR), decision tree (DT), random forest (RF), extreme gradient boosting (XGB), K-nearest neighbor (KNN), light gradient boosting machine (LightGBM), and multilayer perceptron (MLP), were used to construct models based on the feature variables and evaluate their performance. The model with the best performance was transformed into a diagnostic predictive nomogram (DPN). The DPN was developed into an online calculator and an Excel algorithm tool. Receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and subgroup analyses were used to compare and assess the predictive abilities of the DPN and six existing NAFLD predictive models, including the ZJU index, the hepatic steatosis index (HSI), the triglyceride-glucose index (TyG), the Framingham steatosis index (FSI), the fatty liver index (FLI), and the visceral adiposity index (VAI).

Results: Among the 2428 participants, the prevalence of NAFLD was 47.45%. LASSO regression identified eight variables from 39 variables, including body mass index (BMI), waist circumference (WC), alanine aminotransferase (ALT), triglyceride (TG), diabetes, hypertension, uric acid (UA), and race. Among the models constructed by the seven algorithms mentioned above, the LR-based model performed the best, demonstrating outstanding performance in terms of area under the curve (AUC, 0.823), accuracy (0.754), precision (0.768), specificity (0.804), and positive predictive value (0.768). It was then transformed into the DPN, which was successfully developed as an online calculator and an Excel algorithm tool. The diagnostic accuracy (AUC 0.856, 95% confidence interval (CI) 0.839-0.874, and AUC 0.823, 95% CI 0.793-0.854, respectively) and net clinical benefit of DPN in the training and validation sets were superior to those of the ZJU, HSI, TyG, FSI, FLI, and VAI. The results were maintained in subgroup analyses.

Conclusions: The LR model based on ML was developed, exhibiting good performance. DPN can be used as an individualized tool for rapid detection of NAFLD.

The endocannabinoid system (ECS), regulating such processes as energy homeostasis, inflammation, and muscle function, centers around cannabinoid receptors, including CB1. These receptors are mainly located in the central nervous system and skeletal muscles. Hyperactivity of CB1 receptors is linked to metabolic disorders and chronic inflammation, highlighting their potential as therapeutic targets for muscle hypertrophy and metabolic health. This systematic review, registered with PROSPERO (CRD42023462735), follows PRISMA-P guidelines and uses the PICO framework. It evaluates the effects of CB1 receptor antagonism on muscle hypertrophy in animal models and cell lines. Interventions include pharmacological antagonists, genetic modifications, and exercise-induced antagonism. A comprehensive search of databases such as PubMed, EMBASE, CINAHL, and SPORTDiscus, supplemented by gray literature and reference lists, yielded 571 references. From these, ten studies were selected, involving 338 rodents, using CB1 antagonists like rimonabant and AM251. The findings suggest that CB1 receptor antagonism enhances insulin sensitivity and glucose tolerance, reduces body fat, and promotes muscle growth through pathways such as PI3K/Akt and mTOR, as well as by improving autophagy and mitochondrial function. This review proposes CB1 receptor antagonism as a promising approach for enhancing muscle hypertrophy and improving metabolic health, with potential applications in treating such conditions as obesity, type 2 diabetes, and sarcopenia. Future research should aim to standardize intervention protocols and explore integrated therapies to fully harness the benefits of CB1 modulation.

Michael Somogyi (Somogyi Mihály, 1883-1971) was a Hungarian biochemist who developed his scientific career in Europe and, primarily, the United States. He gave the name to the eponymous Somogyi effect or Somogyi hypothesis (in short, rebound hyperglycemia after insulin-induced hypoglycemia, particularly nocturnal), which was an axiom in the treatment of diabetes for decades. Although it is currently debated whether the Somogyi hypothesis is a real or relevant phenomenon in patients with diabetes, Somogyi's other significant career achievements are often overlooked. The aim of this historical note is to compile and highlight Michael Somogyi's scientific achievements. Michael Somogyi was a pioneer in the administration of insulin to patients with diabetes in the United States and in devising a method for insulin production. In addition, he highlighted the relevance of diet in patients with diabetes and was one of the first chemists to be integrated into clinical laboratories. There, Somogyi standardized long-lasting biological determinations, such as that of amylase, and he was one of the first scientists to combine basic research (from his training as a biochemist) with clinical research in close collaboration with physicians caring for patients, which is what we know today as translational research. Notably, the trajectory of his scientific career resembles the rebound effect of Somogyi's hypothesis: after reaching a low point of work activity well below his professional qualifications, his effort and tenacity led to the aforementioned achievements, and he became part of the history of hypoglycemia and diabetes.

Giant parathyroid adenoma (GPA) is an extremely rare cause of primary hyperparathyroidism (PHPT) and may sometimes mimic parathyroid carcinoma (PC). Parathyroid carcinoma is also a very rare entity. Both preoperative and postoperative diagnosis of the two conditions remains a challenge. The purpose of this article is to present the diagnostic and therapeutic approach used for a 76-year-old female patient with a GPA measuring 5.4 × 2.3 cm, mimicking PC. The patient was referred to our clinic for the management of severe hypercalcemia revealed during the neurological evaluation of psychiatric and cognitive symptoms, confusion, weakness, and bone pain. PHPT was confirmed based on the patient's biochemical profile, which showed extremely high levels of serum calcium and parathyroid hormone (PTH). Wholebody computed tomography revealed a large nodule below the inferior pole of the right lobe of the thyroid gland and no further pathology in other organs. En bloc resection of the tumor with removal of the ipsilateral hemithyroid and other involved tissues was performed. Histopathological evaluation was diagnostic for a GPA. Post-surgery hungry bone syndrome (HBS) developed and was treated. However, the patient succumbed 3 weeks later due to septic shock. GPA is an exceptionally rare endocrine tumor that should be suspected along with PC in patients with significantly elevated levels of PTH and calcium, and/or palpable neck mass. In our case, diagnosis was based principally on histopathological examination together with clinical presentation, biochemical profile, and imaging studies. Resection of the tumor remains the treatment of choice.

Background: Sulfonylureas constitute the standard therapy for patients with HNF1A-MODY (maturity-onset diabetes of the young) but are characterized by an increased risk of hypoglycemia. While SGLT2 inhibitors (SGLT2i) may potentially represent a useful therapeutic option, data from the literature are scant.

Case presentation: We report the case of a young woman affected by HNF1A-MODY who was successfully and safely treated with an SGLT2i in addition to sulfonylurea. After SGLT2i initiation, an improvement in the patient's glycemic control was observed and was maintained over time. No adverse effects were noted and, in particular, no increase in ketonemia or ketonuria occurred.

Conclusions: The use of SGLT2i under controlled circumstances may represent a useful therapeutic option in patients with HNF1A-MODY.

Background: Inconsistent findings have emerged from studies examining the relationship between thyroid hormone sensitivity indices and triglycerides (TGs), especially in pediatric and adolescent cohorts. The present study investigates this relationship within adolescent populations in the United States.

Methods: Data spanning three periods from 2007 to 2012 were analyzed, including 1813 participants. The thyroid hormone sensitivity index was calculated and weighted multiple linear regression was used to assess the relationships between TG levels and individual thyroid hormone sensitivity indices. Subgroup analyses were conducted as needed and smooth curve fitting plots visualized the linear relationships.

Results: The FT3/FT4 ratio was positively correlated with TG (β = 0.649, 95% CI: 0.360-0.938, P < 0.001). This correlation persisted after adjusting for all variables (β = 0.439, 95% CI: 0.154-0.725, P < 0.01). The relationship between the TFQI score and TG concentration demonstrated a significant negative correlation, which remained after controlling for all covariates (β = -0.153, 95% CI: -0.239-0.067, P < 0.01). When stratified into quartiles, the FT3/FT4 ratio and TG exhibited a positive correlation only in the Q3 and Q4 groups. Conversely, the TFQI was significantly correlated with TG exclusively in the Q4 group's positive values. Stratified analyses by sex and age showed clearer associations in female adolescents.

Conclusions: The study confirmed the relationship between thyroid hormone sensitivity indices and TGs. Maintaining the FT3/FT4 ratio within a specific range may reduce TG levels. The TFQI may predict TG levels when actual TSH values exceed expected values based on FT4. These findings were most pronounced in female adolescents, highlighting the importance of early monitoring of thyroid health in this group. These results point to the need for improved thyroid function testing in predicting TG levels and preventing hypertriglyceridemia.

Turner syndrome (TS) is the most common female sex chromosome disorder, occurring in one out of every 2500 to 3000 live female births. It is caused by the partial or complete loss of one X chromosome. TS is associated with certain physical and medical features, including short stature, estrogen deficiency, delayed puberty, hypothyroidism, and congenital heart defects. The majority of women with TS are infertile as a result of gonadal dysgenesis and primary ovarian insufficiency causing hypergonadotropic hypogonadism. Several reproductive options are available for TS patients. The recent use of stem cells (SCs) was found to constitute a promising new alternative in cases of infertility treatment in this group. SCs are undifferentiated cells that exist in embryos, fetuses, and adults and that produce differentiated cells. They can be used in infertility treatment for ovarian regeneration and oocyte generation. However, additional studies scrutinizing their efficiency and safety are needed. In our review, we present reproductive options that are currently available for women with TS.

Background: We present a case of metachronous metastasis of papillary thyroid carcinoma to the parotid gland, this being an extremely rare metastasis, and a literature review.

Case report: A 56-year-old female patient presented with a history of a slowly growing mass on the left side of the neck. The patient reported a medical history of thyroidectomy due to papillary thyroid carcinoma 23 years previously and neck dissection for lymph node metastases 10 years previously, with additional therapy using radioactive iodine in both cases. Computed tomography (CT) of the neck revealed a single nodular solid mass in the tail of the left parotid gland which showed heterogeneous intake of contrast agent. FNA biopsy of the left parotid gland revealed cells typical of papillary thyroid carcinoma with positive immunochemistry for TTF-1. Due to this new metastasis, a total parotidectomy with preservation of the facial nerve was performed and additional therapy with radioactive iodine was administered.

Conclusion: Despite the fact that papillary thyroid carcinoma has a low incidence of regional and distant metastases, there are a few rare cases with distant metastases reported in the literature. Thus, awareness, especially among endocrinologists, and a multidisciplinary approach are crucial to ensure early detection and efficient treatment of these rare cases, distant metastases being the main cause of mortality and of reduction of overall survival rate among these patients.