Evidence of involvement of novel biomarkers in disease pathogenesis from research cohorts often precedes an understanding of their distributions in broader populations. This study aimed to estimate the distribution of fibroblast growth factor 23 (FGF-23), an endocrine hormone that helps to regulate serum phosphate levels, in the overall US population and in important subgroups. We used a predictive model generated using data from the Framingham Health Study to estimate FGF-23 values for adults in the US National Health and Nutrition Examination Survey and the size of patient subgroups with levels of FGF-23 above selected thresholds.
View Article and Find Full Text PDFBackground: Diabetic nephropathy imposes a substantial cardiovascular and renal burden contributing to both morbidity and excess mortality. Progression of chronic kidney disease (CKD) in diabetes mellitus is variable, and few biomarkers are available to predict progression accurately. Identification of novel predictive biomarkers may inform clinical care and assist in the design of clinical trials.
View Article and Find Full Text PDFAims: The aim of this study was to evaluate the effect of rifampicin co-administration on the pharmacokinetics of ruboxistaurin and its active metabolite, N-desmethyl ruboxistaurin and, in addition, to compare the changes in pharmacokinetics of ruboxistaurin and N-desmethyl ruboxistaurin with the urinary 6beta-hydroxycortisol : cortisol ratio. Ruboxistaurin is a specific protein-kinase-C beta inhibitor in clinical development for the treatment of diabetic microvascular complications.
Methods: This was a two-period, one-sequence study.
Clin Pharmacol Ther
January 2003
Background: Teriparatide (recombinant human parathyroid hormone [1-34]) stimulates bone formation and causes small transient increases in serum calcium concentration. We assessed whether teriparatide causes a change in digoxin pharmacodynamic effects by measuring systolic time intervals and heart rate.
Methods: Measurements were made by echocardiographic Doppler that examined 3 systolic time intervals, as follows: QS(2) (time from Q wave on electrocardiogram to the closure of the aortic valve), left ventricular ejection time, and pre-ejection period, all corrected for changes in heart rate.