Effects of GJE extract treatment decreased accumulation of Col1a1. by Natnicha Suttawong (22367172)

Conditional ablation of <i>Ybx1</i> leads to a reduction in cortical progenitor cell pool and a decrease in cortical thickness. by Jian Zhang (1682)

Comparison of serum VEGF-A165 concentrations pre-bevacizumab administration in patients with increased VEGF-A post-bevacizumab administration and those with decreased VEGF-A. by Masashi Okawa (8951294)

Subjects:

<i>RTTN</i>-mutated organoids exhibit decreased proliferation and increased cell death at early stages. by Justine Guguin (9088672)

Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Effects of GJE extract treatment decreased serum ALT and AST levels. by Natnicha Suttawong (22367172)

Macrophage-specific IGF-1 overexpression decreases plaque MMP8 and. by Patricia Snarski (22305205)

Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

“…Data are expressed as mean ± SD, error bars indicate standard deviation, n = 6/group. a: when compared to the control group. b: when compared to the NF group, <i><i>p</i></i> < 0.05 for both a and b.…”

The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

Evogliptin attenuates the phenotypic switch of VSMCs during CER treatment by decreasing the osteogenesis-associated genes <i>in-vitro.</i> by Razia Rashid Rahil (22772495)

Neutralization with additional bevacizumab to serum samples pre- and post-bevacizumab administration. by Masashi Okawa (8951294)

Subjects:

The requirement of LytA-associated proteins for linking decreased NAM <i>O-</i>acetylation with the orientations of <i>hsdS</i> inversions. by Xiu-Yuan Li (3328056)

The role of LytA in functionally linking decreased NAM <i>O-</i>acetylation with <i>hsdS</i> inversions and colony phase. by Xiu-Yuan Li (3328056)

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon. by Daisuke Sugahara (2047696)

Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”

Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”