Runners with increased fat mass had decreased tumor burden. by Jorming Goh (490491)

Decreased echinocandin susceptibility in <i>Candida parapsilosis</i> causing candidemia and emergence of a pan-echinocandin resistant case in China by Yating Ning (11264310)

Decreased HbNO production in HbE/ß-thal subjects. by Attaphon Chamchoi (5774669)

mTOR activity is decreased in KSR1-deficient T cells. by Marie Le Borgne (337225)

miR-153 was decreased in osteosarcoma tissues and cell line. by Guangfeng Niu (707090)

Viability of microencapsulated FP ICCs decreased with time post-transplantation. by Vijayaganapathy Vaithilingam (390354)

“…<p>A) Fluorescent images of encapsulated FP ICCs stained with 6-CFDA for viable cells (green) and PI for non-viable cells (red) to assess viability at (A) pre-transplantation, (B) day 1, (C) day 3, (D) day 7, (E) day 14 and (F) day 21 post-transplantation. …”

Stat1 activation is strongly decreased by MNV-S99 infection. by Sandra Niendorf (2832785)

Fli-1 directly activates miR-17-92 promoter and contributes to miR-17 and miR-20a expression in NN10#5 cells. by Samer Kayali (133888)

“…<p>A: NN10#5 cells have been cultured for two days in absence or presence of Dox used to induce Fli-1 knock-down before analysis. …”

Increased CDK13 complexes expression decreases PNC prevalence. by Yasmine Even (1888192)

“…In contrast, siRNA5 strongly altered CDK13 expression, leading to a significant decrease in PNC prevalence. In this set of experiments, 50% of control cells (w/o siRNA) were PTB-positive. …”

Discrimination performance deteriorated as the safe-to-conditioned ΔF decreased. by Chi Chen (67021)

Lethal toxin decreases IL-22 production in human ILCs. by Sudarshan Seshadri (370894)

Rac1 deletion results in decreased proliferation and increased apoptosis. by Lukas Hunziker (36153)

Caspase-1 activity in cell-extract decreases over time. by Obada R. Shamaa (830382)

sEH deficiency decreases cerulein-induced pancreatic injury. by Ahmed Bettaieb (173694)

Inhibition of Nuclear Factor-Kappa B Activation Decreases Survival of <i>Mycobacterium tuberculosis</i> in Human Macrophages by Xiyuan Bai (407197)

“…Targeted pharmacologic inhibition of NFκB activation using BAY 11-7082 (BAY, an inhibitor of IκBα kinase) or an adenovirus construct with a dominant-negative IκBα significantly decreased the number of viable intracellular mycobacteria recovered from THP-1 macrophages four and eight days after infection. …”

Decrease in activity of transcriptional factor NRF2 in MCF-7 cells exposed to gDNA^OX at final concentrations of 50 ng/mL for 2 hours. by Svetlana V. Kostyuk (473354)

TEER of the Calu-3 cell monolayers measured at a 12-h interval. by Aizat Turdalieva (2512252)

Image_2_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”

Image_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”

Table_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.DOCX by Meijuan Liu (4924417)

“…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”