BMC Endocrine Disorders最新文献

{"title":"A case of Nelson's syndrome with adrenal crisis occurring 21 years post-adrenalectomy for Cushing's disease.","authors":"Mengmeng Wang, Yan Xu, Ziyang Dong, Yanli Song","doi":"10.1186/s12902-026-02282-2","DOIUrl":"https://doi.org/10.1186/s12902-026-02282-2","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147762401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of serum miR-28-5p in predicting diabetic retinopathy onset in type 2 diabetes.","authors":"Junli Li, Yijun Zhou, Lichun Wei, Yan Zhao, Min Wu, Chunjian Li","doi":"10.1186/s12902-026-02272-4","DOIUrl":"https://doi.org/10.1186/s12902-026-02272-4","url":null,"abstract":"<p><strong>Background: </strong>This research investigates miR-28-5p in type 2 diabetes mellitus (T2DM), aiming to clarify its mechanistic role and clinical significance in the pathogenesis of diabetic retinopathy (DR).</p><p><strong>Methods: </strong>The research enrolled 112 T2DM patients (including 58 non-DR (NDR) and 54 DR) and 72 healthy controls. The expression of miR-28-5p and RAP1B were assessed by quantitative reverse transcription polymerase chain reaction. Receiver operating characteristic curve was employed to determine the diagnostic value of miR-28-5p in DR. Cell proliferation and migration were determined using cell counting kit-8 assay and Transwell assay. Concentrations of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were quantified via enzyme-linked immunosorbent assay. The direct targeting of RAP1B by miR-28-5p was validated using a luciferase reporter assay. The correlation between their expression was evaluated using Pearson correlation analysis.</p><p><strong>Results: </strong>In serum and cell samples, miR-28-5p was upregulated, while RAP1B was downregulated. In patients with DR, miR-28-5p expression was negatively correlated with that of RAP1B. miR-28-5p had good diagnostic value for distinguishing DR from NDR, with an area under the curve of 0.891, achieving a sensitivity of 77.80% and a specificity of 93.10% at a cut-off value of 2.165. In high-glucose (HG)-treated cells, inhibition of miR-28-5p enhanced cell proliferation and migration, while reducing IL-6 and TNF-α levels. RAP1B was a target gene of miR-28-5p. Suppressing miR-28-5p upregulated RAP1B in HG-treated cells.</p><p><strong>Conclusions: </strong>miR-28-5p contributes to DR pathology by directly targeting and downregulating RAP1B. It may serve as a potential diagnostic biomarker and promising therapeutic target for DR.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147762431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-based nomogram for predicting central lymph node metastasis in papillary thyroid microcarcinoma.","authors":"Hong Huang, Lina Hu, Xuan Chen, Hui Luo","doi":"10.1186/s12902-026-02283-1","DOIUrl":"https://doi.org/10.1186/s12902-026-02283-1","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147762393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning prediction of metabolic dysregulation in women with polycystic ovary syndrome: development and validation of hemato-inflammatory predictive models.","authors":"Meryem Kececi Oguzhanoglu, Kursat Oguzhanoglu, Senem Karacabey Cakmak, Busra Seker Atas, Ali Cetin","doi":"10.1186/s12902-026-02284-0","DOIUrl":"10.1186/s12902-026-02284-0","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Insulin resistance and dyslipidemia are prevalent in 50-70% of women diagnosed with polycystic ovary syndrome (PCOS), which is distinguished by metabolic heterogeneity. Non-invasive biomarkers that are accessible under restricted circumstances are necessary for the early detection of metabolic dysfunction. Hematological inflammatory indices can function as markers that may suggest metabolic dysregulation, as they are derived from routine complete blood count parameters. Our objective is to create and verify machine learning models that anticipate metabolic dysregulation in PCOS by utilizing hematological inflammatory indices.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This cross-sectional study enrolled 200 women stratified into four groups (n = 50 each): PCOS-Obese, PCOS-Lean, Control-Obese, and Control-Lean. Seven input features were selected based on clinical relevance and multicollinearity management: four hematological inflammatory indices (Neutrophil-to-Lymphocyte Ratio [NLR], Platelet-to-Lymphocyte Ratio [PLR], Systemic Immune-Inflammation Index [SII], Monocyte-to-Lymphocyte Ratio [MLR]), hemoglobin, age, and Body Mass Index (BMI). Machine learning algorithms (Random Forest, Gradient Boosting, Support Vector Regression, Linear Regression) were trained using 70% of data (n = 140) and validated on 30% independent test set (n = 60) with 5-fold nested cross-validation. All preprocessing standardization was performed only on training data to prevent data leakage. Target metabolic outcomes included C-reactive protein (CRP), defined as a systemic inflammatory biomarker, triglycerides, glucose, HDL-cholesterol, and Homeostasis Model Assessment for Insulin Resistance (HOMA-IR).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;PCOS-Obese women demonstrated significantly elevated hematological inflammatory indices compared to controls (NLR: 2.58 ± 1.76 vs. 1.61 ± 0.73, p &lt; 0.001; PLR: 150.99 ± 68.14 vs. 91.83 ± 25.65, p &lt; 0.001; SII: 739.46 ± 519.98 vs. 429.57 ± 231.97, p &lt; 0.001; MLR: 0.25 ± 0.13 vs. 0.15 ± 0.06, p &lt; 0.001). Age-adjusted ANCOVA confirmed group differences were independent of age (all p &lt; 0.001). Random Forest achieved modest test set R² values for triglycerides (R²=0.571) and CRP (R²=0.248). However, models for HDL-cholesterol demonstrated negative R² values (range: 0.110 to 5.276 across algorithms), indicating hemato-inflammatory indices alone do not predict this metabolic parameter. This discrepancy between high cross-validation R² (e.g., triglycerides CV: 0.641 ± 0.068) and lower test set R² (0.015-0.571) reflects model instability at the individual prediction level, despite group-level discrimination.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;While hematological inflammatory indices effectively distinguish PCOS-obese phenotypes at the group level (indicating distinct inflammatory signatures), their predictive utility for individual metabolic outcome forecasting remains limited. These preliminary exploratory findings suggest hemato","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13154577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association between the triglyceride-glucose index and serum uric acid: a systematic review and meta-analysis.","authors":"Lanlan Feng, Hua Fan, Xiyun Rao, Ting Tang, Yongmin Shi, Qingwen Yu, Xuhan Tong, Xinyan Fu, Zhao Xu, Juan Chen, Xingwei Zhang, Hu Wang, Jiake Tang, Mingwei Wang","doi":"10.1186/s12902-026-02218-w","DOIUrl":"10.1186/s12902-026-02218-w","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-world experience with insulin glargine U300 in pediatric type 1 diabetes: glycemic control, insulin requirements, and patient-reported outcomes.","authors":"Ilayda Altun, Didem Güneş Kaya, Mert Uçar, Yakup Gözderesi, Gökçe Velioğlu Haşlak, Hasan Karakaş, Elvan Bayramoğlu, Olcay Evliyaoglu, Hande Turan","doi":"10.1186/s12902-026-02279-x","DOIUrl":"https://doi.org/10.1186/s12902-026-02279-x","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of sleep duration and cortisol levels among selected South African medical students.","authors":"Anam Mhlana, Gisela Milanes-Rodriguez, Samuel Oluwaseun Olojede, Ayoola Isaac Jegede","doi":"10.1186/s12902-026-02266-2","DOIUrl":"https://doi.org/10.1186/s12902-026-02266-2","url":null,"abstract":"<p><strong>Background: </strong>Sleep is essential for maintaining the body's balance, particularly in regulating the Hypothalamic-pituitary-adrenal (HPA) axis, which controls cortisol, the main stress hormone. Cortisol follows a daily rhythm, but irregular sleep can disrupt this pattern, leading to mood changes, metabolic disorders, and cognitive problems. However, there is limited evidence on effect of sleep duration on cortisol levels among medical students in sub-Saharan Africa. Hence, this study investigated this relationship among selected University's medical students.</p><p><strong>Materials and methods: </strong>This cross-sectional study collected demographic, anthropometric, blood glucose, and saliva cortisol data from 100 healthy Walter Sisulu University medical students aged 18-30; cortisol concentrations were measured once daily (morning) and subsequently analyzed using ELISA kits.</p><p><strong>Results: </strong>This study found that sleep duration was not significantly influenced by age, sex, or reported sleep disturbances among medical students. However, a positive and statistically significant correlation was found between sleep duration and salivary cortisol levels (r = 0.2328, p = 0.0198), indicating that students who slept longer exhibited higher cortisol concentrations. Anthropometric variables (BMI, waist, hip, and neck circumference) did not significantly predict cortisol levels, although BMI and hip circumference showed a modest association with blood glucose (R² = 0.093, p ≈ 0.05). In addition, sex showed no significant effect on the sleep-cortisol relationship.</p><p><strong>Conclusion: </strong>This study found a positive relationship between sleep duration and cortisol levels, indicating that longer sleep duration alone is not associated with lower cortisol levels in this sample. Cortisol secretion isn't solely influenced by sleep, highlighting the need for interventions to enhance stress management, sleep quality, and overall well-being among medical students.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endocan level and its association with glycemic and inflammatory indices in diabetic nephropathy.","authors":"Lujain Mohammed Al-Mayahi, Shatha Abdul Wadood Al-Shammaree","doi":"10.1186/s12902-026-02274-2","DOIUrl":"https://doi.org/10.1186/s12902-026-02274-2","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of TyG index and obesity indicators with cognitive function: a cross - sectional study from Chinese health check-up centers.","authors":"Jiapei Wei, Xucheng Wu, Liantian Chen, Yincun Wang, Yanjie Zhao, Liming Zhang, Xingqi Cao, Liying Chen, Xuan Ge, Yangzhen Lu, Zuyun Liu, Hui Shentu","doi":"10.1186/s12902-026-02280-4","DOIUrl":"https://doi.org/10.1186/s12902-026-02280-4","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between cholesterol, high-density lipoprotein, and glucose index and hyperuricemia in patients with diabetes.","authors":"Zhihan Wang, Xuemin Peng, Zengzhe Zhu, Ziyin Zhang, Yaming Guo, Peng Yu, Limeng Pan, Xuefeng Yu, Min Yang, Yong Chen","doi":"10.1186/s12902-026-02281-3","DOIUrl":"https://doi.org/10.1186/s12902-026-02281-3","url":null,"abstract":"","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}