Showing 1,281 - 1,300 results of 138,819 for search '(( 1 m decrease ) OR ( 5 ((((step decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 2.01s Refine Results
  1. 1281

    T0 treatment significantly decreased soluble Aβ oligomers, but not amyloid plaque pathology in APP/E4/Abca1<sup>+/-</sup> mice. by Alexis Y. Carter (3798223)

    Published 2017
    “…N = 5–6 mice per group. N.S., not significant. <b>E,</b> T0 treatment significantly decreases Aβ oligomers in APP/E4/Abca1<sup>+/-</sup> mice. …”
  2. 1282

    Anti-TGFβ antibody treatment decreases tumor burden in tumor-bearing mice. by Swati Biswas (73661)

    Published 2013
    “…<p><b>Panel a:</b> Representative H&E sections (5×) of tibia from tumor-bearing mice treated with control antibody (13C4) or anti-TGFβ antibody (1D11). …”
  3. 1283

    Antagonizing BMP type I receptors decreases cell growth, proliferation, and clonogenicity of lung cancer cell lines. by Elaine Langenfeld (402034)

    Published 2013
    “…<p>(<b>A</b>) A549 and H1299 cells cultured in DMEM 5% FCS were treated with DMSO, 10 µM Dorsomorphin, 1 µM DMH1, 1 µM DMH2, or 1 µM LDN for 7 days and cell counts performed. …”
  4. 1284
  5. 1285
  6. 1286
  7. 1287

    Fasting-induced decreases of lipogenic gene expression are unimpaired in Bcl6 KO mice. by Christopher R. LaPensee (571785)

    Published 2014
    “…Expression of hepatic (<b>A</b>) Fasn, (<b>B</b>) Scd1, (<b>C</b>) Chrebp, and (<b>D</b>) Srebp1c mRNA were measured using qpcr. …”
  8. 1288
  9. 1289
  10. 1290

    Quantitation demonstrates the overlap of WFA ‘patches’ and striosomes decreases during early postnatal development. by Hyunchul Lee (52763)

    Published 2013
    “…(B) Overlap between WFA clusters and S and M compartments at P10. Although ‘patches’ remain overwhelmingly associated with striosomes (Student's <i>t</i>-test; P = 2.1063×10<sup>−5</sup>), the absolute area of overlap with both neostriatal subcompartments has dropped significantly by this time compared with P4 (note difference in scale for A and B; Two-way ANOVA, age and subregion as factors; F(1, 32) = 96.65, P = 3.4327×10<sup>−11</sup> across ages; F(1, 32) = 119.2, P = 2.5329×10<sup>−12</sup> across subregions; F(1, 32) = 52.2, P = 3.3113×10<sup>−8</sup> for interactions between age and subregion). …”
  11. 1291
  12. 1292
  13. 1293
  14. 1294

    Decreased Serum Level of miR-146a as Sign of Chronic Inflammation in Type 2 Diabetic Patients by Lucy Baldeón R. (674016)

    Published 2014
    “…</p><p></p><p></p><p>Conclusions</p><p>This study shows decreased serum anti-inflammatory miR-146a, increased pro-inflammatory IL-8 and increased HGF (a vascular/insular repair factor) as discriminating markers of failure of glucose control occurring on the background of obesity and dyslipidemia.…”
  15. 1295
  16. 1296
  17. 1297
  18. 1298
  19. 1299
  20. 1300