Insulin resistance, obesity, hypertension, and dyslipidemia are strongly associated with metabolic syndrome (MeSy), which is considered to be a reversible clinical stage before its evolution to coronary heart disease and diabetes. Currently, the antihypertensive and hypolipidemic properties of aqueous Hibiscus sabdariffa extracts (HSE) have been demonstrated in clinical trials and in vivo experiments. The aim of the present study was to evaluate the effects of a Hibiscus sabdariffa extract powder (HSEP) and a recognized preventive treatment (diet) on the lipid profiles of individuals with and without MeSy according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The protocol was a follow-up study carried out in a factorial, randomized design (T1=preventive treatment comprises Diet, T2=HSEP, T3=HSEP+preventive treatment (Diet) X MeSy, non-MeSy individuals). A total daily dose of 100 mg HSEP was orally administered in capsules for one month. The preventive treatment (diet) was selected according to NCEP-ATP III recommendations and adjusted individually. Total cholesterol, LDL-c, HDL-c, VLDL-c, triglycerides, glucose, urea, creatinine, AST, and ALT levels in the blood were determined in all individuals pre- and post-treatment. The MeSy patients treated with HSEP had significantly reduced glucose and total cholesterol levels, increased HDL-c levels, and an improved TAG/HDL-c ratio, a marker of insulin resistance (t-test p<0.05). Additionally, a triglyceride-lowering effect was observed in MeSy patients treated with HSEP plus diet, and in individuals without MeSy treated with HSEP. Significant differences in total cholesterol, HDL-c, and the TAG/HDL-c ratio were found when the means of absolute differences among treatments were compared (ANOVA p<0.02). Therefore, in addition to the well documented hypotensive effects of Hibiscus sabdariffa, we suggest the use of HSEP in individuals with dyslipidemia associated with MeSy.
[Show abstract][Hide abstract] ABSTRACT: Medicinal plants are used worldwide as an alternative and/or a complementary medicine. Likewise, an interest in medicinal herbs is increasing as a precursor of pharmacological actives. Research in clinical phytopharmacology is as an alternative to develop healthcare in developing countries. The most advanced nations of the Western Hemisphere have adopted biologics and biosimilars medicine. Clinical phytopharmacology deals with all aspects of the relationship between phytomedicines
and humans. The role of a clinical phytopharmacology is to develop methods
and strategies that improve the quality of phytomedicine. This document is
aimed primarily at decision-makers in a variety of topics in phytopharmacology
research, including the development of methods and strategies that improve the
quality of phytomedicine use in individual patients and patient populations. The
first part of the document is related to the extraction of active principles for candidate
phytomedicines selection. Following, there is preformulation of active principles
for preclinical studies using polyphytotherapy alternative and combination
concept. The second part of the document deals with phytopharmacy and methods
to optimize production of raw materials followed by clinical evaluation. The last
part of the document is concerned with phytomedicine use, problems of drugs interaction,
pharmacovigilance and pharmacoeconomics. We hope that, this document
will realize the great benefits that pharmacologists can bring to develop a good
quality of phytomedicines
[Show abstract][Hide abstract] ABSTRACT: A new class of robust control algorithms is proposed for the trajectory following problem of a robot manipulator. It is shown that every proposed control can guarantee three kinds of global stability results based on the designer's choice: uni formly and ultimately bounded stability, asymptotic stability, and exponential stability. Exact knowledge of robot dynamics is not required except that unknown dynamics must be bounded in Euclidean norm by a second-order polynomial function with known coefficients.
The International Journal of Robotics Research 08/1994; 13:355-363. DOI:10.1177/027836499401300407 · 2.54 Impact Factor
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