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1.  The relation of aminoterminal propeptide of type III procollagen and heart rate variability parameters in heart failure patients: A potential serum marker to evaluate cardiac autonomic control and sudden cardiac death 
Background
Cardiac extra-cellular matrix (ECM) fibrosis plays an important role in the pathophysiology of heart failure (HF). It may provide electrical heterogeneity and substrate for arrhythmogenicity, which may cause sudden cardiac death (SCD).
Methods
Twenty-one Patients with HF manifestations, and left ventricular ejection fraction (LVEF) ≤ 50% were enrolled. The median age was 62 years and median LVEF was 33 %. Time- and frequency-domain analysis of heart rate variability (HRV) on 24-hour ambulatory electrocardiography recording was assessed. Serum markers of ECM turnover including type I and III aminoterminal propeptide of procollagen (PINP and PIIINP), matrix metalloproteinase-2 and 9 (MMP-2 and MMP-9), and tissue inhibitor of metalloproteinase 1 (TIMP-1) were analyzed.
Results
The serum PIIINP level was significantly correlated with standard deviation of all normal RR intervals (SDNN) (r=−0.722, p=<0.001), percentage of adjacent NN interval differences >50 ms (pNN50) (r=−0.528, p=0.014), percentage of adjacent NN interval differences >20 ms (pNN20) (r=−0.545, p=0.002), very low frequency (VLF) (r=−0.490, p=0.024), low frequency (LF) (r=−0.491, p=0.024), high frequency (HF) (r=−0.513, p=0.018). PINP, MMP-2, 9, TIMP-1 were not correlated with time- and frequency-domain analysis of HRV.
Conclusions
PIIINP was significantly correlated with time- and frequency-domain analysis of HRV in HF patients. PIIINP is a potential serological marker to evaluate cardiac autonomic control and risk of SCD in HF patients.
doi:10.1515/CCLM.2010.348
PMCID: PMC3141296  PMID: 20846104
extra-cellular matrix; heart failure; collagen; HRV
2.  Plasma fatty acids and the risk of metabolic syndrome in ethnic Chinese adults in Taiwan 
Background
Evidence of predictive power of various fatty acids on the risk of metabolic syndrome was scanty. We evaluated the role of various fatty acids, including saturated fat, monounsaturated fat, transfat, n-6 fatty acid, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), for the risk of the metabolic syndrome in Taiwan.
Results
A nested case-control study based on 1000 cases of metabolic syndrome and 1:1 matched control subjects. For saturated fat, monounsaturated fat and transfat, the higher the concentration the higher the risk for metabolic syndrome: participants in the highest quintile had a 2.22-fold (95% confidence interval [CI], 1.66 to 2.97) higher risk of metabolic syndrome. In addition, the participants in higher EPA quintiles were less likely to have the risk of metabolic syndrome (adjusted risk, 0.46 [0.34 to 0.61] for the fifth quintile). Participants in the highest risk group (low EPA and high transfat) had a 2.36-fold higher risk of metabolic syndrome (95% CI, 1.38 to 4.03), compared with those in the lowest risk group (high EPA and low transfat). For prediction power, the area under ROC curves increased from 0.926 in the baseline model to 0.928 after adding fatty acids. The net reclassification improvement for metabolic syndrome risk was substantial for saturated fat (2.1%, P = 0.05).
Conclusions
Plasma fatty acid components improved the prediction of the metabolic syndrome risk in Taiwan.
doi:10.1186/1476-511X-10-33
PMCID: PMC3056817  PMID: 21333029
3.  Interaction of obesity, metabolic syndrome and Framingham risk on steatohepatitis among healthy Taiwanese: population-based nested case-control study 
Background
There have been scant reports on the cumulative effects of atherosclerotic risk factors on steatohepatitis.
Methods
We defined cases of steatohepatitis (n = 124) from one health examination center at National Taiwan University Hospital from January to December 2002. We selected controls, matched by age, gender and drinking status. Metabolic syndrome was defined by the modified ATP-III guidelines. High-dimensional interactions of risk factors for steatohepatitis were evaluated.
Results
Steatohepatitis cases had the highest C-reactive protein, lymphocytes, Framingham scores and predicted coronary risks. The odds ratio (OR) of metabolic syndrome for steatohepatitis was the highest (OR = 9.9), followed by high glucose status (OR = 4.5) and obesity (OR = 3.6). The highest area under the ROC curve was metabolic syndrome (area = 0.80), followed by obesity (0.75) and high glucose level (0.73). Metabolic syndrome was the highest population-attributable risk factor (0.59). Significant interaction was found with a three-factor model, including obesity, metabolic syndrome and Framingham risk status, with lesser average prediction error (22.6%), higher average cross-validation consistency (6.3) and lower average prediction error (24.3%). Compared with persons with no risk factors, OR increased as the number of risk factors increased (OR = 3.0 with one risk factor, 17.5 with two risk factors, 10.8 with three risk factors, respectively).
Conclusion
Metabolic syndrome, inflammation markers and atherosclerotic risk scores are significantly related to steatohepatitis status among the healthy examinee population in Taiwan.
doi:10.1186/1475-2840-5-12
PMCID: PMC1481540  PMID: 16707022
4.  Bioavailability study of fixed-dose tablet versus capsule formulation of amlodipine plus benazepril: A randomized, single-dose, two-sequence, two-period, open-label, crossover study in healthy volunteers 
Background:
In the treatment of hypertension, combination therapy is important10 because antihypertensive monotherapy is effective in only 40% of patients worldwide. Amlodipine is a dihydropyridine calcium channel blocker with a slow onset and long duration of action. Benazepril hydrochloride is a prodrug hydrolyzed by esterase to the active metabolite benazeprilat, an angiotensin-converting enzyme inhibitor. In 1995, the US Food and Drug Administration approved the use of a capsule formulation of combination amlodipine-benazepril for hypertension.
Objective:
The aim of this study was to compare the bioavailability and tolerability10 of the capsule formulation with those of a tablet formulation of combination amlodipine-benazepril in healthy volunteers.
Methods:
This single-dose, 2-sequence, 2-period, open-label, crossover10 study recruited healthy, adult, male volunteers with normotension. Subjects were randomly assigned to 1 of 2 treatment sequences: a single-dose tablet containing amlodipine 5 mg plus benazepril 10 mg, followed by a single-dose capsule containing the same dose of each drug (AB), or vice versa (BA). The treatment period for each drug consisted of dosing and pharmacokinetic analysis on day 1, followed by pharmacokinetic analysis on days 2 to 7. Treatment periods were separated by a 4-week washout period. For pharmacokinetic analysis, serial blood samples were obtained before dosing and at 20, 40, 60, 80, and 100 minutes and 2, 3, 4, 5, 6, 7, 8, 10, 12, 24, 36, 60, 84, 108, 132, and 156 hours after dosing. Tolerability was assessed using subject interview and spontaneous reporting.
Results:
Twelve healthy, male, Taiwanese subjects (mean [SD] age, 23.510 [1.7] years) participated in the study. No statistically significant differences inbioavailability were found between the 2 formulations based on the pharmacokinetic measurements of amlodipine and benazeprilat. The rate and extent of absorption of the tablets were found to be comparable to those of the capsules (90% CI, between 80% and 125%). The mean (SD) relative bioavailabilities, as represented by AUC0−∞, of amlodipine and benazeprilat for tablets versus capsules were 1.060 (0.170) versus 0.949 (0.197), respectively. The mean plasma concentration-time profiles of amlodipine and benazeprilat were graphically similar. No adverse effects were observed with either formulation.
Conclusions:
The results of this bioavailability comparison study in this 10 population of healthy, male, Taiwanese volunteers suggest that the tablet and capsule formulations of combination amlodipine-benazepril are bioequivalent. Both formulations were well tolerated.
doi:10.1016/j.curtheres.2005.04.005
PMCID: PMC3964558
bioequivalence; bioavailability; pharmacokinetics; amlodipinebesylate; benazepril hydrochloride; fixed-dose combination

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