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Trans fatty acids and weight gain
Increasing rates of obesity have stimulated research into possible contributing factors, including specific dietary components such as trans fatty acids (TFAs). This review considers the evidence for an association between TFA intake and weight gain. It concludes that there is limited but consistent evidence from epidemiological studies, and from a primate model, that increased TFA consumption may result in a small additional weight gain. Data from a long-term study in a primate model suggest that TFA may have a greater adipogenic effect than cis monounsaturated fatty acids; however, there are currently inadequate mechanistic data to provide a comprehensive and plausible explanation for any such metabolic differences between the types of fatty acids
Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: A worldwide collaborative project.
Purpose: To achieve clinical validation of cutoff values for newborn screening by tandem mass
215 spectrometry through a worldwide collaboration. Methods: Cumulative percentiles of amino
216 acids and acylcarnitines in dried blood spots of approximately 30 million normal newborns and
217 10,615 true positive cases are compared to assign clinical significance, which is achieved when
218 the median of a disease range is either >99%ile or <1%ile of the normal population. The cutoff
219 target ranges of analytes and ratios are then defined as the interval between the limits of the two
220 populations. When overlaps occur, adjustments are made to maximize sensitivity and specificity
221 taking in consideration all available factors. Results: As of December 1, 2010, 129 sites in 45
222 countries have uploaded to the project website a total of 23,970 percentile data points, 558,168
223 analyte results of 10,615 true positive cases with 64 conditions, and 5,088 cutoff values. The
224 average rate of submission of true positive cases between December 1, 2008 and December 1,
225 2010 was 4.7 cases per day (3,418 cases). This cumulative evidence generated 91 and 23 high
226 and low target cutoff ranges, respectively. The overall proportion of cutoff values within the
227 respective target range was 43% (2,176/5,088). Conclusions: An unprecedented level of
228 cooperation and collaboration has allowed the objective definition of cutoff target ranges for 114
229 markers applied to newborn screening of rare metabolic disorders. This set of data could be used
230 as baseline for monitoring of future performance