SNAP-25 (1-197) binds to syntaxin-1A, and the interaction is enhanced by Ser187 phosphorylation. by Dilara Koc (22431017)

“…Data are representative of 3 independent experiments, and results are presented as mean ± SD. *: P ≤ 0.05; **: P ≤ 0.01; ***: P ≤ 0.001.…”

Data Sheet 1_The efficacy and safety of panax quinquefolius saponin for heart failure: a systematic review and meta-analysis.pdf by Jing Wang (6206297)

“…The results of a meta-analysis under a random-effects model showed that adjuvant PQS therapy significantly increased LVEF (MD = 6.23, 95% CI [4.35, 8.12], P < 0.00001), 6MWTD (MD = 25.26, 95% CI [8.23, 42.30], P = 0.004), and decreased BNP/NT-pro-BNP (MD = −187.94, 95% CI [−267.20, −108.67], P < 0.00001), LVEDV (MD = −22.83, 95% CI [−42.79, −2.87], P = 0.02), LVEDD (MD = −4.76, 95% CI [−5.77, −3.74], P < 0.00001), and LVESV (MD = −11.86, 95% CI [−19.89, −3.83], P = 0.004) in patients with HF.…”

Data Sheet 2_The effect of training intervention based on health belief model on self-care behaviors of women with gestational diabetes mellitus.pdf by Fatemeh Mohammadkhah (14157844)

“…The results showed that the mean scores of all structures of the health belief model in the intervention group were significantly different from those obtained after the intervention in this group (p < 0.001). …”

Muscles influence motoneuron at NMJ during the critical period, but motoneuron do not affect GluR composition in muscles. by Daniel Sobrido-Cameán (5049743)

“…Larvae were reared at the control temperature of 25°C until the late wandering stage, 100 h after larval hatching (ALH). Data are shown with mean ± SEM, ANOVA, **<i>p</i> < 0.001, ****<i>p</i> < 0.00001, ‘ns’ indicates statistical non-significance. …”

Data Sheet 1_The effect of training intervention based on health belief model on self-care behaviors of women with gestational diabetes mellitus.pdf by Fatemeh Mohammadkhah (14157844)

“…The results showed that the mean scores of all structures of the health belief model in the intervention group were significantly different from those obtained after the intervention in this group (p < 0.001). …”

Figure 2 from Targeting PRMT1 Reduces Cancer Persistence and Tumor Relapse in <i>EGFR</i>- and <i>KRAS</i>-Mutant Lung Cancer by Xiaoxiao Sun (20589448)

“…<p>PRMT1 knockdown decreases persistence in STAT1-high <i>EGFR</i>^<i>mut</i> and <i>KRAS</i>^<i>G12C</i> lung cancer cell lines. …”

Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 3_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 1_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 8_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…The SUVRs were calculated using the standard methodology, where the mean standardized uptake value (SUV) of each region of interest (ROI) was divided by the mean SUV of the reference region, that is the whole cerebellum. …”

Data Sheet 1_Genetic knockdown of DYRK1A attenuates cognitive impairment, Aβ pathology, tauopathy and neuroinflammatory responses in mouse models of AD.docx by Hyun-ju Lee (7550741)

“…</p>Results and discussion<p>In WT mice, hippocampal DYRK1A overexpression significantly reduced short-term spatial/recognition memory and SynGAP expression while increasing p-P38 levels. …”