探讨甘油三酯-葡萄糖指数对青春期前儿童骨代谢的影响,回顾性研究:来自传统方法和基于机器学习的骨重塑预测的见解。

IF 2.3 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES
PeerJ Pub Date : 2025-05-20 eCollection Date: 2025-01-01 DOI:10.7717/peerj.19483
Shunshun Cao, Aolei Chen, Botian Song, Yangyang Hu
{"title":"探讨甘油三酯-葡萄糖指数对青春期前儿童骨代谢的影响,回顾性研究:来自传统方法和基于机器学习的骨重塑预测的见解。","authors":"Shunshun Cao, Aolei Chen, Botian Song, Yangyang Hu","doi":"10.7717/peerj.19483","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Childhood obesity poses a significant risk to bone health, but the impact of insulin resistance (IR) on bone metabolism in prepubertal children, as assessed by the triglyceride-glucose (TyG) index, remains underexplored. Bone turnover markers (BTMs) provide a non-invasive method for evaluating bone remodeling, but their relationship to obesity-related metabolic changes requires further study.</p><p><strong>Methods: </strong>In this retrospective study of 332 prepubertal children (163 boys and 169 girls), we used multivariate linear regression and five machine learning (ML) algorithms to explore the association between the TyG index and BTMs, including β-C-terminal telopeptide of type 1 collagen (β-CTx), total procollagen type 1 N-terminal propeptide (T-P1NP), and N-terminal mid-fragment of osteocalcin (N-MID). The categorical boosting (CatBoost) models selected based on optimal performance metrics were interpreted using SHapley Additive exPlanation (SHAP) analysis to identify key features affecting prediction.</p><p><strong>Results: </strong>The TyG index was negatively correlated with β-CTx, T-P1NP, and N-MID levels (<i>P</i> < 0.05), with a dose-response effect. The CatBoost model showed higher predictive accuracy and robustness, with the area under the receiver operating characteristic curve (AUROC) values of 0.782 (95% CI [0.68-0.885]), 0.789 (95% CI [0.691-0.874]), and 0.727 (95% CI [0.619-0.827]) for β-CTx, T-P1NP, and N-MID predictions, respectively. The SHAP analysis highlighted body mass index (BMI) and HbA1c as the key predictors.</p><p><strong>Conclusions: </strong>The TyG index is a reliable predictor of bone metabolic disorders in prepubertal obese children, and the interpretable CatBoost model provides a cost-effective tool for early intervention. This study has important implications for prevention strategies for disorders of bone metabolism in prepubertal obese children to reduce the risk of skeletal fragility in adulthood or old age.</p>","PeriodicalId":19799,"journal":{"name":"PeerJ","volume":"13 ","pages":"e19483"},"PeriodicalIF":2.3000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101447/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction.\",\"authors\":\"Shunshun Cao, Aolei Chen, Botian Song, Yangyang Hu\",\"doi\":\"10.7717/peerj.19483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Childhood obesity poses a significant risk to bone health, but the impact of insulin resistance (IR) on bone metabolism in prepubertal children, as assessed by the triglyceride-glucose (TyG) index, remains underexplored. Bone turnover markers (BTMs) provide a non-invasive method for evaluating bone remodeling, but their relationship to obesity-related metabolic changes requires further study.</p><p><strong>Methods: </strong>In this retrospective study of 332 prepubertal children (163 boys and 169 girls), we used multivariate linear regression and five machine learning (ML) algorithms to explore the association between the TyG index and BTMs, including β-C-terminal telopeptide of type 1 collagen (β-CTx), total procollagen type 1 N-terminal propeptide (T-P1NP), and N-terminal mid-fragment of osteocalcin (N-MID). The categorical boosting (CatBoost) models selected based on optimal performance metrics were interpreted using SHapley Additive exPlanation (SHAP) analysis to identify key features affecting prediction.</p><p><strong>Results: </strong>The TyG index was negatively correlated with β-CTx, T-P1NP, and N-MID levels (<i>P</i> < 0.05), with a dose-response effect. The CatBoost model showed higher predictive accuracy and robustness, with the area under the receiver operating characteristic curve (AUROC) values of 0.782 (95% CI [0.68-0.885]), 0.789 (95% CI [0.691-0.874]), and 0.727 (95% CI [0.619-0.827]) for β-CTx, T-P1NP, and N-MID predictions, respectively. The SHAP analysis highlighted body mass index (BMI) and HbA1c as the key predictors.</p><p><strong>Conclusions: </strong>The TyG index is a reliable predictor of bone metabolic disorders in prepubertal obese children, and the interpretable CatBoost model provides a cost-effective tool for early intervention. This study has important implications for prevention strategies for disorders of bone metabolism in prepubertal obese children to reduce the risk of skeletal fragility in adulthood or old age.</p>\",\"PeriodicalId\":19799,\"journal\":{\"name\":\"PeerJ\",\"volume\":\"13 \",\"pages\":\"e19483\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101447/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PeerJ\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.7717/peerj.19483\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PeerJ","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.7717/peerj.19483","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:儿童肥胖对骨骼健康有显著风险,但胰岛素抵抗(IR)对青春期前儿童骨代谢的影响,如甘油三酯-葡萄糖(TyG)指数的评估,仍未得到充分探讨。骨转换标志物(Bone turnover marker, BTMs)提供了一种评估骨重塑的无创方法,但其与肥胖相关代谢变化的关系有待进一步研究。方法:对332名青春期前儿童(男163名,女169名)进行回顾性研究,采用多元线性回归和5种机器学习(ML)算法,探讨TyG指数与1型胶原β- c端端肽(β-CTx)、总前胶原1型n端前肽(T-P1NP)、骨钙素n端中片段(N-MID)等btm的关系。基于最佳性能指标选择的分类提升(CatBoost)模型使用SHapley加性解释(SHAP)分析来解释,以确定影响预测的关键特征。结果:TyG指数与β-CTx、T-P1NP、N-MID水平呈负相关(P < 0.05),呈剂量效应。CatBoost模型对β-CTx、T-P1NP和N-MID预测的受试者工作特征曲线下面积(AUROC)分别为0.782 (95% CI[0.68-0.885])、0.789 (95% CI[0.691-0.874])和0.727 (95% CI[0.619-0.827]),具有较高的预测精度和稳健性。SHAP分析强调身体质量指数(BMI)和糖化血红蛋白是关键的预测指标。结论:TyG指数是青春期前肥胖儿童骨代谢紊乱的可靠预测指标,可解释的CatBoost模型为早期干预提供了一种经济有效的工具。本研究对青春期前肥胖儿童骨代谢紊乱的预防策略,以降低成年或老年骨骼脆弱的风险具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction.

Background: Childhood obesity poses a significant risk to bone health, but the impact of insulin resistance (IR) on bone metabolism in prepubertal children, as assessed by the triglyceride-glucose (TyG) index, remains underexplored. Bone turnover markers (BTMs) provide a non-invasive method for evaluating bone remodeling, but their relationship to obesity-related metabolic changes requires further study.

Methods: In this retrospective study of 332 prepubertal children (163 boys and 169 girls), we used multivariate linear regression and five machine learning (ML) algorithms to explore the association between the TyG index and BTMs, including β-C-terminal telopeptide of type 1 collagen (β-CTx), total procollagen type 1 N-terminal propeptide (T-P1NP), and N-terminal mid-fragment of osteocalcin (N-MID). The categorical boosting (CatBoost) models selected based on optimal performance metrics were interpreted using SHapley Additive exPlanation (SHAP) analysis to identify key features affecting prediction.

Results: The TyG index was negatively correlated with β-CTx, T-P1NP, and N-MID levels (P < 0.05), with a dose-response effect. The CatBoost model showed higher predictive accuracy and robustness, with the area under the receiver operating characteristic curve (AUROC) values of 0.782 (95% CI [0.68-0.885]), 0.789 (95% CI [0.691-0.874]), and 0.727 (95% CI [0.619-0.827]) for β-CTx, T-P1NP, and N-MID predictions, respectively. The SHAP analysis highlighted body mass index (BMI) and HbA1c as the key predictors.

Conclusions: The TyG index is a reliable predictor of bone metabolic disorders in prepubertal obese children, and the interpretable CatBoost model provides a cost-effective tool for early intervention. This study has important implications for prevention strategies for disorders of bone metabolism in prepubertal obese children to reduce the risk of skeletal fragility in adulthood or old age.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信