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糖尿病肾病的精准医学方法:即将到来的个性化干预措施。

Precision Medicine Approaches to Diabetic Kidney Disease: Personalized Interventions on the Horizon.

作者信息

Nageeta Fnu, Waqar Fahad, Allahi Ibtesam, Murtaza Farhan, Nasir Muhammad, Danesh Fnu, Irshad Beena, Kumar Rajesh, Tayyab Arslan, Khan Muhammad Saood Moazzam, Kumar Satesh, Varrassi Giustino, Khatri Mahima, Muzammil Muhammad Ali, Mohamad Tamam

机构信息

Medicine, Ghulam Muhammad Mahar Medical College, Sukkur, PAK.

Medicine, Allama Iqbal Medical College, Lahore, PAK.

出版信息

Cureus. 2023 Sep 19;15(9):e45575. doi: 10.7759/cureus.45575. eCollection 2023 Sep.

DOI:10.7759/cureus.45575
PMID:37868402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10587911/
Abstract

Diabetic kidney disease (DKD) is a significant complication of diabetes that requires innovative interventions to address its increasing impact. Precision medicine is a rapidly emerging paradigm that shows excellent promise in tailoring therapeutic strategies to the unique profiles of individual patients. This abstract examines the potential of precision medicine in managing DKD. It explores the genetic and molecular foundations, identifies biomarkers for risk assessment, provides insights into pharmacogenomics, and discusses targeted therapies. Integrating omics data and data analytics provides a comprehensive landscape for making informed decisions. The abstract highlights the difficulties encountered during the clinical implementation process, the ethical factors to be considered, and the importance of involving patients. In addition, it showcases case studies that demonstrate the effectiveness of precision-based interventions. As the field progresses, the abstract anticipates a future characterized by the integration of artificial intelligence in diagnostics and treatment. It highlights the significant impact that precision medicine can have in revolutionizing the provision of care for DKD.

摘要

糖尿病肾病(DKD)是糖尿病的一种严重并发症,需要创新干预措施来应对其日益增加的影响。精准医学是一种迅速兴起的模式,在根据个体患者的独特特征制定治疗策略方面显示出巨大潜力。本摘要探讨了精准医学在管理DKD方面的潜力。它探索了遗传和分子基础,识别用于风险评估的生物标志物,提供了药物基因组学方面的见解,并讨论了靶向治疗。整合组学数据和数据分析为做出明智决策提供了全面的图景。摘要强调了临床实施过程中遇到的困难、需要考虑的伦理因素以及患者参与的重要性。此外,它展示了案例研究,证明了基于精准的干预措施的有效性。随着该领域的发展,摘要预计未来将以人工智能在诊断和治疗中的整合为特征。它强调了精准医学在彻底改变DKD护理提供方面可能产生的重大影响。

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本文引用的文献

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Machine Learning Models to Predict the Risk of Rapidly Progressive Kidney Disease and the Need for Nephrology Referral in Adult Patients with Type 2 Diabetes.机器学习模型预测 2 型糖尿病成人患者快速进展性肾病风险和肾脏病转诊需求。
Int J Environ Res Public Health. 2023 Feb 15;20(4):3396. doi: 10.3390/ijerph20043396.
2
Present and future directions in diabetic kidney disease.糖尿病肾病的现状与未来方向。
J Diabetes Complications. 2022 Dec;36(12):108357. doi: 10.1016/j.jdiacomp.2022.108357. Epub 2022 Nov 14.
3
Multi-Scalar Data Integration Links Glomerular Angiopoietin-Tie Signaling Pathway Activation With Progression of Diabetic Kidney Disease.多尺度数据集成将肾小球血管生成素- Tie 信号通路激活与糖尿病肾病进展联系起来。
Diabetes. 2022 Dec 1;71(12):2664-2676. doi: 10.2337/db22-0169.
4
Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes.精准诊断方法预测 1 型糖尿病微血管并发症 5 年风险。
EBioMedicine. 2022 Jun;80:104032. doi: 10.1016/j.ebiom.2022.104032. Epub 2022 May 6.
5
Preclinical evaluation of a precision medicine approach to DNA vaccination in type 1 diabetes.1 型糖尿病精准医学方法的 DNA 疫苗接种的临床前评估。
Proc Natl Acad Sci U S A. 2022 Apr 12;119(15):e2110987119. doi: 10.1073/pnas.2110987119. Epub 2022 Apr 6.
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Erratum to: Precision medicine approaches for diabetic kidney disease: opportunities and challenges.《糖尿病肾病的精准医学方法:机遇与挑战》勘误
Nephrol Dial Transplant. 2022 May 25;37(6):1198. doi: 10.1093/ndt/gfab296.
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