Frontiers in Endocrinology最新文献

{"title":"Biomechanical perspectives on image-based hip fracture risk assessment: advances and challenges.","authors":"Yunhua Luo","doi":"10.3389/fendo.2025.1538460","DOIUrl":"10.3389/fendo.2025.1538460","url":null,"abstract":"<p><p>Hip fractures pose a significant health challenge, particularly in aging populations, leading to substantial morbidity and economic burden. Most hip fractures result from a combination of osteoporosis and falls. Accurate assessment of hip fracture risk is essential for identifying high-risk individuals and implementing effective preventive strategies. Current clinical tools, such as the Fracture Risk Assessment Tool (FRAX), primarily rely on statistical models of clinical risk factors derived from large population studies. However, these tools often lack specificity in capturing the individual biomechanical factors that directly influence fracture susceptibility. Consequently, image-based biomechanical approaches, primarily leveraging dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT), have garnered attention for their potential to provide a more precise evaluation of bone strength and the impact forces involved in falls, thereby enhancing risk prediction accuracy. Biomechanical approaches rely on two fundamental components: assessing bone strength and predicting fall-induced impact forces. While significant advancements have been made in image-based finite element (FE) modeling for bone strength analysis and dynamic simulations of fall-induced impact forces, substantial challenges remain. In this review, we examine recent progress in these areas and highlight the key challenges that must be addressed to advance the field and improve fracture risk prediction.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1538460"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11915145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of systemic oxytocin and beta-3 receptor agonist (CL 316243) treatment on body weight and adiposity in male diet-induced obese rats.","authors":"Jared D Slattery, June R Rambousek, Edison Tsui, Mackenzie K Honeycutt, Matvey Goldberg, James L Graham, Tomasz A Wietecha, Tami Wolden-Hanson, Amber L Williams, Kevin D O'Brien, Peter J Havel, James E Blevins","doi":"10.3389/fendo.2025.1503096","DOIUrl":"10.3389/fendo.2025.1503096","url":null,"abstract":"<p><p>Previous studies have implicated hindbrain oxytocin (OT) receptors in the control of food intake and brown adipose tissue (BAT) thermogenesis. We recently demonstrated that hindbrain [fourth ventricle (4V)] administration of oxytocin (OT) could be used as an adjunct to drugs that directly target beta-3 adrenergic receptors (β3-AR) to elicit weight loss in diet-induced obese (DIO) rodents. What remains unclear is whether systemic OT can be used as an adjunct with the β3-AR agonist, CL 316243, to increase BAT thermogenesis and elicit weight loss in DIO rats. We hypothesized that systemic OT and β3-AR agonist (CL 316243) treatment would produce an additive effect to reduce body weight and adiposity in DIO rats by decreasing food intake and stimulating BAT thermogenesis. To test this hypothesis, we determined the effects of systemic (subcutaneous) infusions of OT (50 nmol/day) or vehicle (VEH) when combined with daily systemic (intraperitoneal) injections of CL 316243 (0.5 mg/kg) or VEH on body weight, adiposity, food intake and brown adipose tissue temperature (T_IBAT). OT and CL 316243 monotherapy decreased body weight by 8.0 ± 0.9% (<i>P</i><0.05) and 8.6 ± 0.6% (<i>P</i><0.05), respectively, but OT in combination with CL 316243 produced more substantial weight loss (14.9 ± 1.0%; <i>P</i><0.05) compared to either treatment alone. These effects were associated with decreased adiposity, energy intake and elevated T_IBAT during the treatment period. The findings from the current study suggest that the effects of systemic OT and CL 316243 to elicit weight loss are additive and appear to be driven primarily by OT-elicited changes in food intake and CL 316243-elicited increases in BAT thermogenesis.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1503096"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge mapping of exosomes in preeclampsia: a bibliometric analysis (2008-2023).","authors":"Liang Yin, Yuchao Zhang, Guanfeng Fu, Haiqin Huang, Hang Su, Yipeng Zhang, Qichun Chen, Qinghua Li, Weiwei Yang","doi":"10.3389/fendo.2025.1546554","DOIUrl":"10.3389/fendo.2025.1546554","url":null,"abstract":"<p><strong>Background: </strong>Exosome research in preeclampsia is gaining increasingly popular, however thorough and unbiased summaries of the field's present understanding are hard to come by. Therefore, this study aims to conduct a bibliometric analysis of the publication \"Exosomes in Preeclampsia\" in order to visually analyze the state of the field and identify emerging trends.</p><p><strong>Methods: </strong>From 2008 to 2023, the Web of Science database was searched for publications related to exosomes in preeclampsia. Three software packages-VOSviewer, CiteSpace, and the R program \"bibliometrix\"-were used to conduct bibliometric analysis.</p><p><strong>Results: </strong>Analysis of 257 publications produced by 1454 scholars from 48 countries/regions and 435 institutions, published in 135 academic journals. The quantity of studies concerning exosomes in preeclampsia is steadily increasing. China and the United States lead in publications, with Oxford being the most active university. Placent has written the most relevant study and has received the highest number of citations. Carlos Salomon has the most number of published articles and is the most referenced author. The 10 most frequently mentioned sources were used as a knowledge basis. The predominant terms examined include extracellular vesicle, expression, pregnancy, microparticle, and microRNA. Utilizing fundamental research on exosomes in preeclampsia for clinical diagnosis and therapy is a current popular research focus and direction. Utilizing fundamental research on exosomes in preeclampsia for clinical diagnosis and treatment is currently a popular research focus and direction.</p><p><strong>Conclusion: </strong>This study offers a comprehensive overview of trends and advancements in the research of exosomes in preeclampsia through bibliometrics. This material highlights the current research frontiers and trending directions, serving as a valuable reference for researchers in the subject.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1546554"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of surrogate adiposity markers with prevalence, all-cause mortality and long-term survival of heart failure: a retrospective study from NHANES database.","authors":"Fan-Shun Guo, Chen Guo, Jia-Hao Dou, Jun-Xiang Wang, Rui-Yun Wu, Shou-Fang Song, Xue-Lu Sun, Yi-Wei Hu, Jin Wei","doi":"10.3389/fendo.2025.1430277","DOIUrl":"10.3389/fendo.2025.1430277","url":null,"abstract":"<p><strong>Introduction: </strong>Obesity, especially abdominal obesity, is more common in patients with heart failure (HF), but body mass index (BMI) cannot accurately describe fat distribution. Several surrogate adiposity markers are available to reflect fat distribution and quantity. The objective of this study was to explore which adiposity marker is most highly correlated with HF prevalence, all-cause mortality and patients' long-term survival.</p><p><strong>Methods: </strong>The National Health and Nutrition Examination Survey (NHANES) database provided all the data for this study. Logistic regression analyses were adopted to compare the association of each surrogate adiposity marker with the prevalence of HF. Cox proportional hazards models and restricted cubic spline (RCS) analysis were employed to assess the association between surrogate adiposity markers and all-cause mortality in HF patients. The ability of surrogate adiposity markers to predict long-term survival in HF patients was assessed using time-dependent receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>46,257 participants (1,366 HF patients) were encompassed in this retrospective study. An area under the receiver operating characteristic curve (AUC) for the prevalence of HF assessed by weight-adjusted-waist index (WWI) was 0.70 (95% CI: 0.69-0.72). During a median follow-up of 70 months, 700 of 1366 HF patients' death were recorded. The hazard ratio (HR) for HF patients' all-cause mortality was 1.33 (95% CI: 1.06-1.66) in the a body shape index (ABSI) quartile 4 group and 1.43 (95% CI: 1.13-1.82) in the WWI quartile 4 group, compared with the lowest quartile group. The AUC for predicting 5-year survival of HF patients using the ABSI was 0.647 (95% CI: 0.61-0.68).</p><p><strong>Conclusions: </strong>WWI is strongly correlated with the prevalence of HF. In HF patients, those with higher WWI and ABSI tend to higher all-cause mortality. ABSI can predict patients' long-term survival. We recommend the use of WWI and ABSI for assessing obesity in HF patients.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1430277"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of exercise interventions on sperm quality: a systematic review and network meta-analysis.","authors":"Weijia Song, Yu Peng, Zhuyu Jiang, Zheping Quan","doi":"10.3389/fendo.2025.1537271","DOIUrl":"10.3389/fendo.2025.1537271","url":null,"abstract":"<p><strong>Background: </strong>Infertility affects about 10% to 15% of the world's population, thus making it a global concern. Although there are a large number of studies to develop treatment for infertility in men, there are no studies to illustrate the effect of exercise on male sperm treatment in a well rationalized and aggregated manner, therefore the aim of this study was to validate the comparative effectiveness of different exercise interventions for treating sperm quality in men by using a network Meta-analysis.</p><p><strong>Methods: </strong>All randomized clinical trials (RCT) were obtained from PubMed, Cochrane Library, EMBASE, Web of Science, CNKI, Wanfang, and VIP databases, and network meta-analysis was used to assess the effectiveness of exercise interventions on sperm quality.</p><p><strong>Results: </strong>Fourteen studies with 1079 subjects were finally included in this study. Compared with the physical inactivity group, indoor aerobic, outdoor aerobic, and resistance training significantly reduced sperm density (P<0.05); indoor aerobic, outdoor aerobic, and resistance training significantly reduced the number of necrotic spermatozoa and the number of active spermatozoa (P>0.05).Outdoor aerobic[MD=1.84,95%CI:(1.56,2.14),P<0.05], multi-component motion [MD=1.37,95%CI:(0.85,1.89),P<0.05],competitive sports[MD=1.04,95%CI:(0.46,1.60),P<0.05],indoor aerobic [MD=0.32, 95%CI:(0.21,0.44), P<0.05], effectively enhanced sperm volume; other sports [MD=9.49,95%CI:(6.17,12.84),P<0.05], indoor aerobic[MD=4.43,95%CI:(3.12,5.74),P<0.05],resistance training [MD=3.93, 95%CI:(0.49,7.37), P<0.05], competitive sports [MD=5.44,95%CI:(0.10,10.79), P<0.05], and bicycle aerobics[MD=27.29,95%CI:(22.45,32.06),P<0.05], significantly enhanced sperm motility; other sports [MD=17.20,95%CI:(3.12,31.19), P<0.05], effectively enhanced total sperm count;resistance training[MD=10.90,95%CI:(8.44,13.36), P<0.05],other sports [MD=1.97,95%CI:(1.41,2.54),P<0.05], indoor aerobic [MD=2.43,95%CI:(1.13,3.73), P<0.05],and bicycle aerobic [MD=12.18, 95%CI:(10.19,14.18),P<0.05], significantly enhanced sperm morphology; bicycle aerobic (MD=18.87, 95%CI:11.70,25.86, P<0.05), and indoor aerobic (MD=9.53, 95%CI:8.97,10.09, P<0.05),effectively enhanced sperm concentration.</p><p><strong>Conclusion: </strong>In conclusion, outdoor aerobics had a significant effect on improving sperm volume in infertile patients; other sports had a significant effect on enhancing sperm motility and total sperm count in infertile patients; resistance training had a significant effect on enhancing sperm morphology in infertile patients, and bicycle aerobic has a significant impact on improving sperm concentration in infertile patients.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/prospero/#myprospero, identifier CRD42024534582.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1537271"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of body fat percentage with diabetes in hypertensive adults of different genders: a cross-sectional study.","authors":"Jingan Rao, Congcong Ding, Yumeng Shi, Wei Zhou, Chao Yu, Tao Wang, Lingjuan Zhu, Xiao Huang, Huihui Bao, Xiaoshu Cheng","doi":"10.3389/fendo.2025.1467886","DOIUrl":"10.3389/fendo.2025.1467886","url":null,"abstract":"<p><strong>Background: </strong>While numerous epidemiological studies on body fat and diabetes already exist, there remains a scarcity of evidence regarding gender differences within hypertensive populations. The aim of this study was to examine gender-specific differences in the association of body fat percentage (BFP) with diabetes.</p><p><strong>Methods and results: </strong>This cross-sectional study encompassed 14,228 hypertensive patients from the Chinese Hypertension Registry. An easily obtainable anthropometric parameter, Clínica University de Navarra-Body Adiposity Estimator (CUN-BAE) equation was used to calculate body fat percentage (BFP). Diabetes was defined as the self-report of a previous diagnosis of diabetes, fasting blood glucose ≥ 7.0mmol/l, and the use of antidiabetic agents. The average BFP was 24.5% in men and 37.0% in women. Multivariate logistic regression analysis revealed a dose-dependent relationship between BFP and the risk of diabetes in men (odds ratio [OR] 1.09, 95% CI 1.07, 1.11) and women (OR 1.06, 95% CI 1.04, 1.07) while considering BFP as a continuous variable. After taking BFP as the quartile across different genders, compared with Q1 group, the risk of diabetes in Q4 group increased 176% (OR 2.76, 95% CI 2.15, 3.55) in men and 66% (OR 1.66, 95% CI 1.36, 2.03) in women. Furthermore, the positive association was found to be more significant in men, whether BFP was considered a continuous variable (<i>P</i> for interaction = 0.016) or a categorical variable in quartiles (<i>P</i> for interaction = 0.008). In addition, the positive association between BFP and diabetes remained consistent across various subgroups.</p><p><strong>Conclusion: </strong>BFP is positively associated with the increased risk of diabetes in hypertensive population, especially in men.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1467886"},"PeriodicalIF":3.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of a novel prognostic and therapeutic prediction model in clear cell renal carcinoma based on Renin-angiotensin system related genes.","authors":"Qinzheng Chang, Shuo Zhao, Jiajia Sun, Wei Guo, Lin Yang, Laiyuan Qiu, Nianzhao Zhang, Yidong Fan, Jikai Liu","doi":"10.3389/fendo.2025.1521940","DOIUrl":"10.3389/fendo.2025.1521940","url":null,"abstract":"<p><strong>Background: </strong>Clear cell renal cell carcinoma is the most predominant type of renal malignancies, characterized by high aggressiveness and probability of distant metastasis. Renin angiotensin system (RAS) plays a crucial role in maintaining fluid balance within the human body, and its involvement in tumorigenesis is increasingly being uncovered, while its role in ccRCC remains unclear.</p><p><strong>Methods: </strong>WGCNA was used to identify RAS related genes. Machine learning was applied to screen hub genes for constructing risk model, E-MTAB-1980 dataset was used for external validation. Transwell and CCK8 assays were used to investigate the impact of SLC6A19 to ccRCC cells.</p><p><strong>Results: </strong>SLC6A19, SLC16A12 and SMIM24 were eventually screened to construct risk model and the predictive efficiency for prognosis was validated by internal and external cohorts. Moreover, the differences were found in pathway enrichment, immune cell infiltration, mutational landscapes and drug prediction between high and low risk groups. Experimental results indicated that SLC6A19 could inhibit invasion and proliferation of ccRCC cells and GSEA pinpointed that SLC6A19 was intimately correlated with fatty acid metabolism and CPT1A.</p><p><strong>Conclusion: </strong>The risk model based on the three RAS-related genes have a robust ability to predict the prognosis and drug sensitivity of ccRCC patients, further providing a valid instruction for clinical care.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1521940"},"PeriodicalIF":3.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of the high-risk population facing early death in older patients with primary intracranial glioma: a retrospective cohort study.","authors":"Gui-Jun Lu, Ying Zhao, Rui Huang","doi":"10.3389/fendo.2025.1546530","DOIUrl":"10.3389/fendo.2025.1546530","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to establish a diagnostic nomogram to predict the early death risk in older patients with primary intracranial glioma and to identify the high-risk population in those patients to provide them with specialized care to increase their benefit from survival.</p><p><strong>Methods: </strong>Patients aged 60 years and older with histologically confirmed intracranial glioma were identified in the Surveillance, Epidemiology and End Results (SEER) database. Initially, they were divided into a training set and a validation set in a 7:3 ratio. Next, univariate and multivariate logistic regression were employed to identify independent risk variables, which were used to develop a diagnostic nomogram further. Additional analyses were performed on the diagnostic nomogram's performance, including calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). A mortality risk classification system was ultimately developed using the diagnostic nomogram.</p><p><strong>Results: </strong>This study included 8,859 individuals diagnosed with primary intracranial glioma. The participants were randomly split into two groups: a training set consisting of 6203 individuals and a validation set consisting of 2,656 individuals, with a ratio of 7 to 3. Univariate and multivariate logistic regression analyses on early death showed 7 independent risk variables (age, median household income, histological type, tumor grade, surgery, radiation therapy, and systemic therapy sequence with surgery) in the training set. A diagnostic nomogram for predicting the early death risk was created based on these variables. Calibration curves showed a high agreement between the expected and actual probabilities. The area under the curves (AUC) for the training and validation sets were 0.798 and 0.811, respectively. Meanwhile, the novel-created diagnostic nomogram had the highest AUC value compared to each independent risk variables, which showed that the nomogram had the best discriminatory ability. The DCA indicated that the nomogram has the potential to provide greater clinical advantages across a broad spectrum of threshold probabilities. Furthermore, a nomogram-based risk classification system was constructed to help us identify the high-risk population facing early death.</p><p><strong>Conclusions: </strong>This study created a novel diagnostic nomogram to predict the probability of early death in older patients with intracranial glioma. In the meantime, a nomogram-based risk classification system was also constructed to help us identify the high-risk population facing early death in older patients with intracranial glioma and provide them with specialized care to increase their benefit from survival.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1546530"},"PeriodicalIF":3.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-based risk predictive models for diabetic kidney disease in type 2 diabetes mellitus patients: a systematic review and meta-analysis.","authors":"Yihan Li, Nan Jin, Qiuzhong Zhan, Yue Huang, Aochuan Sun, Fen Yin, Zhuangzhuang Li, Jiayu Hu, Zhengtang Liu","doi":"10.3389/fendo.2025.1495306","DOIUrl":"10.3389/fendo.2025.1495306","url":null,"abstract":"<p><strong>Background: </strong>Machine learning (ML) models are being increasingly employed to predict the risk of developing and progressing diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). However, the performance of these models still varies, which limits their widespread adoption and practical application. Therefore, we conducted a systematic review and meta-analysis to summarize and evaluate the performance and clinical applicability of these risk predictive models and to identify key research gaps.</p><p><strong>Methods: </strong>We conducted a systematic review and meta-analysis to compare the performance of ML predictive models. We searched PubMed, Embase, the Cochrane Library, and Web of Science for English-language studies using ML algorithms to predict the risk of DKD in patients with T2DM, covering the period from database inception to April 18, 2024. The primary performance metric for the models was the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI). The risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist.</p><p><strong>Results: </strong>26 studies that met the eligibility criteria were included into the meta-analysis. 25 studies performed internal validation, but only 8 studies conducted external validation. A total of 94 ML models were developed, with 81 models evaluated in the internal validation sets and 13 in the external validation sets. The pooled AUC was 0.839 (95% CI 0.787-0.890) in the internal validation and 0.830 (95% CI 0.784-0.877) in the external validation sets. Subgroup analysis based on the type of ML showed that the pooled AUC for traditional regression ML was 0.797 (95% CI 0.777-0.816), for ML was 0.811 (95% CI 0.785-0.836), and for deep learning was 0.863 (95% CI 0.825-0.900). A total of 26 ML models were included, and the AUCs of models that were used three or more times were pooled. Among them, the random forest (RF) models demonstrated the best performance with a pooled AUC of 0.848 (95% CI 0.785-0.911).</p><p><strong>Conclusion: </strong>This meta-analysis demonstrates that ML exhibit high performance in predicting DKD risk in T2DM patients. However, challenges related to data bias during model development and validation still need to be addressed. Future research should focus on enhancing data transparency and standardization, as well as validating these models' generalizability through multicenter studies.</p><p><strong>Systematic review registration: </strong>https://inplasy.com/inplasy-2024-9-0038/, identifier INPLASY202490038.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1495306"},"PeriodicalIF":3.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel indicator for erectile dysfunction: the CALLY index, evidence from data of NHANES 2001-2004.","authors":"Dongli Huang, Hang Wu, Yanhua Huang","doi":"10.3389/fendo.2025.1527506","DOIUrl":"10.3389/fendo.2025.1527506","url":null,"abstract":"<p><strong>Purpose: </strong>This study explored the association between the C-reactive protein-albumin-lymphocyte (CALLY) index and erectile dysfunction (ED).</p><p><strong>Patients and methods: </strong>Data from 2,128 participants in the 2001-2004 National Health and Nutrition Examination Survey (NHANES) were analyzed and classified into ED and non-ED groups.Additionally, a separate analysis of complete erectile dysfunction was conducted.A weighted multiple logistic regression model was used to assess the association between CALLY and ED, while smooth curve fitting was applied to explore their linear relationship.ROC analysis was conducted to compare the predictive accuracy (AUC) of CALLY, Systemic Inflammation Response Index (SIRI), Systemic Immune-Inflammation Index (SII), Aggregate Index of Systemic Inflammation (AISI), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and the product of platelet count and neutrophil count (PPN) for ED.</p><p><strong>Results: </strong>After adjustment, Ln-CALLY was negatively associated with ED (OR = 0.77, 95% CI: 0.69-0.85, p < 0.0001) and complete ED (OR = 0.88, 95% CI: 0.78-1.00, p = 0.0450).The highest Ln-CALLY tertile (Q3) was associated with a significantly lower risk of ED compared to Q1 (OR = 0.40, 95% CI: 0.30-0.55, p < 0.0001).A similar trend was observed for complete ED (OR = 0.57, 95% CI: 0.38-0.85, p = 0.006).Curve fitting revealed a negative correlation between CALLY and both types of ED.Subgroup analysis confirmed the consistent and independent association.CALLY exhibited superior predictive performance for ED (AUC = 0.6512) and complete ED (AUC = 0.6237) compared to other markers.</p><p><strong>Conclusion: </strong>Higher CALLY levels were linked to a reduced ED risk and proved a superior predictor compared to other inflammatory markers.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1527506"},"PeriodicalIF":3.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}