Validating pathophysiological models of aging using clinical electronic medical records.
Validating pathophysiological models of aging using clinical electronic medical records.
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DOI：
10.1016/j.jbi.2009.11.007
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发表时间：
2010-06
影响因子：
4.5
通讯作者：
Butte AJ
中科院分区：
文献类型：
--
作者：
Chen DP;Morgan AA;Butte AJ
利用大量临床数据的生物信息学方法有望深入了解有助于解释人类生理过程的潜在分子机制。其中之一就是青少年的发展。从横断面队列中产生的预测衰老模型的效用及其对单独人群（包括临床人群）的适用性尚未完全探索。为了解决这个问题，我们建立了回归模型预测青少年的实际年龄从2001-2002年全国健康和营养调查（NHANES）的数据，并验证他们对独立的2003-2004年NHANES数据和临床数据从学术三级保健儿科医院。结果表明，男性和女性模型之间存在明显差异，碱性磷酸酶和肌酐均作为所有性别的预测生物标志物，男性的红细胞压积和平均细胞体积以及女性的总血清球蛋白。我们还认为，该模型是可推广的，是临床相关的，并暗示潜在的分子和临床差异，男性和女性之间可能会影响预测的准确性。流行病学和临床数据的整合有望创建更强大的模型，为生理过程提供新的见解。
Bioinformatics methods that leverage the vast amounts of clinical data promises to provide insights into underlying molecular mechanisms that help explain human physiological processes. One of these processes is adolescent development. The utility of predictive aging models generated from cross-sectional cohorts and their applicability to separate populations, including the clinical population, has yet to be completely explored. In order to address this, we built regression models predictive of adolescent chronological age from 2001–2002 National Health and Nutrition Examination Survey (NHANES) data and validated them against independent 2003–2004 NHANES data and clinical data from an academic tertiary-care pediatric hospital. The results indicate distinct differences between male and female models with both alkaline phosphatase and creatinine as predictive biomarkers for all genders, hematocrit and mean cell volume for males, and total serum globulin for females. We also suggest that the models are generalizable, are clinically relevant, and imply underlying molecular and clinical differences between males and females that may affect prediction accuracy. The integration of both epidemiological and clinical data promises to create more robust models that shed new light on physiological processes.
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