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本文引用的文献

1
Role of serum P1NP measurement for monitoring treatment response in osteoporosis.血清 P1NP 测定在骨质疏松症治疗反应监测中的作用。
Biomark Med. 2008 Oct;2(5):495-508. doi: 10.2217/17520363.2.5.495.
2
Clinical utilities of peripheral blood gene expression profiling in the management of cardiac transplant patients.外周血基因表达谱分析在心脏移植患者管理中的临床应用
J Immunotoxicol. 2007 Jul;4(3):209-17. doi: 10.1080/15476910701385570.
3
Physical activity and bone turnover markers: a cross-sectional and a longitudinal study.体力活动与骨转换标志物:一项横断面研究和一项纵向研究
Calcif Tissue Int. 2008 Dec;83(6):388-92. doi: 10.1007/s00223-008-9184-8. Epub 2008 Oct 24.
4
Between hyperfiltration and impairment: demystifying early renal functional changes in diabetic nephropathy.在超滤与肾功能损害之间:揭开糖尿病肾病早期肾功能变化的神秘面纱。
Diabetes Res Clin Pract. 2008 Nov 13;82 Suppl 1:S46-53. doi: 10.1016/j.diabres.2008.09.018. Epub 2008 Oct 11.
5
Genome-wide single-nucleotide polymorphism studies in rheumatology: hype or hope?风湿病学中的全基因组单核苷酸多态性研究:炒作还是希望?
Arthritis Rheum. 2008 Sep;58(9):2591-7. doi: 10.1002/art.23751.
6
New automated multiplex assay for bone turnover markers in osteoporosis.用于骨质疏松症骨转换标志物检测的新型自动化多重检测法
Clin Chem. 2008 Sep;54(9):1554-63. doi: 10.1373/clinchem.2008.105866. Epub 2008 Aug 1.
7
Comparison between immunoturbidimetry, size-exclusion chromatography, and LC-MS to quantify urinary albumin.免疫比浊法、尺寸排阻色谱法和液相色谱-质谱联用法定量检测尿白蛋白的比较。
Clin Chem. 2008 Sep;54(9):1504-10. doi: 10.1373/clinchem.2008.107508. Epub 2008 Jul 10.
8
Disease-dependent mechanisms of albuminuria.蛋白尿的疾病相关机制。
Am J Physiol Renal Physiol. 2008 Dec;295(6):F1589-600. doi: 10.1152/ajprenal.00142.2008. Epub 2008 Jun 25.
9
High-density single nucleotide polymorphism genome-wide linkage scan for susceptibility genes for diabetic nephropathy in type 1 diabetes: discordant sibpair approach.1型糖尿病患者糖尿病肾病易感基因的高密度单核苷酸多态性全基因组连锁扫描:不一致同胞对法
Diabetes. 2008 Sep;57(9):2519-26. doi: 10.2337/db07-1086. Epub 2008 Jun 16.
10
American College of Rheumatology 2008 recommendations for the use of nonbiologic and biologic disease-modifying antirheumatic drugs in rheumatoid arthritis.美国风湿病学会2008年关于类风湿关节炎中使用非生物和生物改善病情抗风湿药物的建议。
Arthritis Rheum. 2008 Jun 15;59(6):762-84. doi: 10.1002/art.23721.

转化生物标志物为临床应用所取得的成功和面临的挑战。

Successes achieved and challenges ahead in translating biomarkers into clinical applications.

机构信息

Department of Nephrology, Monash Medical Center, Clayton, Victoria, Australia.

出版信息

AAPS J. 2010 Sep;12(3):243-53. doi: 10.1208/s12248-010-9182-4. Epub 2010 Mar 16.

DOI:10.1208/s12248-010-9182-4
PMID:20232184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2895431/
Abstract

Biomarkers are important tools for identifying and stratifying diseases, predicting their progression and determining the effectiveness, safety, and doses of therapeutic interventions. This is important for common chronic diseases such as diabetic nephropathy, osteoporosis, and rheumatoid arthritis which affect large numbers of patients worldwide. This article summarizes the current knowledge of established and novel biomarkers for each of these diseases as presented at the 2008 AAPS/ACCP joint symposium "Success Achieved and Challenges Ahead in Translating Biomarkers into Clinical Applications," in Atlanta, Georgia. The advantages and disadvantages of various proteomic, metabolomic, genomic, and imaging biomarkers are discussed in relation to disease diagnosis and stratification, prognosis, drug development, and potential clinical applications. The use of biomarkers as a means to determine therapeutic interventions is also considered. In addition, we show that biomarkers may be useful for adapting therapies for individual needs by allowing the selection of patients who are most likely to respond or react adversely to a particular treatment. They may also be used to determine whether the development of a novel therapy is worth pursuing by informing crucial go/no go decisions around safety and efficacy. Indeed, regulatory bodies now suggest that effective integration of biomarkers into clinical drug development programs is likely to promote the development of novel therapeutics and more personalized medicine.

摘要

生物标志物是识别和分层疾病、预测疾病进展以及确定治疗干预的有效性、安全性和剂量的重要工具。对于糖尿病肾病、骨质疏松症和类风湿关节炎等常见慢性病,这些工具尤为重要,因为这些疾病在全球范围内影响了大量患者。本文总结了在佐治亚州亚特兰大举行的 2008 年 AAPS/ACCP 联合研讨会“将生物标志物转化为临床应用的成功与挑战”上介绍的这些疾病的现有和新型生物标志物的最新知识。本文还讨论了各种蛋白质组学、代谢组学、基因组学和成像生物标志物在疾病诊断和分层、预后、药物开发和潜在临床应用方面的优缺点。本文还考虑了将生物标志物作为确定治疗干预措施的手段。此外,我们还表明,通过选择最有可能对特定治疗产生反应或不良反应的患者,生物标志物可用于调整针对个体需求的治疗方法。生物标志物还可用于确定开发新疗法是否值得,通过告知有关安全性和疗效的关键性去留决策。实际上,监管机构现在建议,将生物标志物有效纳入临床药物开发计划可能会促进新型疗法和更个体化药物的开发。