Showing 181 - 200 results of 45,138 for search '(( 50 ((ppm decrease) OR (a decrease)) ) OR ((( 5 g decrease ) OR ( a point decrease ))))', query time: 0.88s Refine Results
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    Delphinidin alters VEGF-A splicing to increase VEGF-A<sub>165</sub>b and decrease total VEGF-A expression. by Megan Stevens (3964886)

    Published 2019
    “…<p><b>A)</b> Treatment of podocytes with delphinidin chloride (10 μg/ml) under normal glucose (NG; 5 mM glucose + 25 mM mannitol) and high glucose (HG; 30 mM glucose, 1 ng/ml TNFα, 1 ng/ml IL-6, and 100 nM insulin) for 48 hrs increased the protein expression of VEGF-A<sub>165</sub>b relative to total VEGF-A<sub>165</sub> (quantified in <b>B</b>; *p<0.05 vs NG, †p<0.05 vs HG; n = 3 biological repeats; One-way ANOVA with Bonferroni post-hoc test for comparison between pairs; <b>A</b>—the same blot was first probed with VEGF-A<sub>165</sub>b before stripping and reprobing with panVEGF-A). …”
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    PPM1A is critical for proliferation of intestinal organoids. by Ruyuan Zhou (10197187)

    Published 2021
    “…A dramatic lower number of de novo crypts (D, top panel) and the decreased size of organoids (D, bottom panel) were seen in organoids from PPM1A KO mice, with roughly 50 intestine organoids each group examined. …”
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    Prevalence reduction of overall obesity in 2022–2027, according to a decrease in the probability of move up one BMI class and an increase in the probability of move down one BMI cl... by Pierre Bauvin (18154818)

    Published 2024
    “…Scenarios 1 and 2 were built up to obtain a stabilization of the overall obesity prevalence: scenario 1 corresponds to a 22% decrease in the probability of move up one BMI class, and scenario 2 corresponds to a 33% increase in the probability of move down one BMI class. …”
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    Mean decrease in accuracy (MDA) of top 15 urine metabolites. by Liam E. Broughton-Neiswanger (8447220)

    Published 2020
    “…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”
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