Influence of Maternal Nutritional Status on Vascular Function in the Offspring. Microcirculation 18(4), 256–262. Suboptimal maternal nutritional status has been implicated in the development of cardiovascular risk in the child. Initially inferred from studies of low-birthweight children, investigations in cohorts of women subjected to famine provide direct evidence for an independent influence of the mother’s diet on the cardiovascular health of her child. Animal studies from rodents and sheep have shown associations between maternal undernutrition and raised blood pressure, as well as abnormalities in resistance artery function, particularly

in endothelium-dependent responses. Early life exposure to the influences of maternal over nutritional states, e.g. obesity and excessive gestational weight gain, has also been associated with markers of cardiovascular risk in man, and animal models have shown raised blood pressure and endothelial dysfunction A769662 in offspring of diet-induced obese dams. Increased sympathetic tone is commonly associated with hypertension in animal models of both under nutritional and over nutritional states. This and several other similarities may indicate commonality of mechanism and could reflect supranormal nutritional status in postnatal life in both conditions. “
“Please cite this paper as: Drummond and Tom (2012). Presenting Data: Roscovitine concentration Can You Follow A Recipe? Microcirculation 19(1),

94–98. It is exceedingly difficult Orotidine 5′-phosphate decarboxylase to explain many statistical concepts in terms that are both technically accurate and easily understood by those with only a cursory knowledge of the topic. This wise note appears at the opening of a valuable book on reporting statistics [4]. In this series so far, we have tackled this difficult task, and accommodated the need to ‘avoid the fine points and distinctions that would detract from an explanation otherwise adequate for most readers’. In other words, we are writing for a readership of science authors and not for professional statisticians. Even statisticians differ between one another in their

preferences and procedures, and for consistency we shall continue to use the book cited above (apart from small deviations) as the basis for a uniform set of suggestions. Ultimately, this will become a substantial list, but we will cross reference this list to the concepts and principles we address in further articles. In this long list of suggestions, we shall give reasons for making these suggestions. A good analogy is a cookery recipe. It helps if you’re told why things are done in the way suggested, and the principles (as long as they are sound!) are explained clearly. We can extend this analogy: food writers themselves have differences; the best writers recognize that ingredients differ, and even the infrequent cook knows that precise weights and measures need not guarantee a successful dish.