Showing 3,421 - 3,440 results of 3,691 for search 'significant ((((gap decrease) OR (((nn decrease) OR (teer decrease))))) OR (mean decrease))', query time: 0.45s Refine Results
  1. 3421

    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)

    Published 2025
    “…<p>PRMT1 knockdown decreases persistence in STAT1-high <i>EGFR</i><sup><i>mut</i></sup> and <i>KRAS</i><sup><i>G12C</i></sup> lung cancer cell lines. …”
  2. 3422

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

    Published 2025
    “…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. …”
  3. 3423

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

    Published 2025
    “…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. …”
  4. 3424

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

    Published 2025
    “…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. …”
  5. 3425

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

    Published 2025
    “…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. …”
  6. 3426

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

    Published 2025
    “…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. …”
  7. 3427

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

    Published 2025
    “…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. …”
  8. 3428

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

    Published 2025
    “…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. …”
  9. 3429

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

    Published 2025
    “…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. …”
  10. 3430

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

    Published 2025
    “…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. …”
  11. 3431

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

    Published 2025
    “…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. …”
  12. 3432

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

    Published 2025
    “…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. …”
  13. 3433

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

    Published 2025
    “…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. …”
  14. 3434

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

    Published 2025
    “…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. …”
  15. 3435

    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)

    Published 2025
    “…</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. …”
  16. 3436

    Data Sheet 1_Prevalence trends, population characteristics and treatment outcomes of tuberculosis combined with diabetes in Southwest China: a register-based retrospective study.do... by Deliang Kong (382201)

    Published 2024
    “…PTB-DM patients were characterized by a higher proportion of males and older adult individuals, the age range of the patients was 11 ~ 100 years, with a mean age of 58.21 ± 12.02 years, with multiple positive aetiological results, and lower rates of proactive medical consultation. …”
  17. 3437

    Altered spatial distribution of EPDCs in <i>Wt1</i><sup>Cre</sup>; <i>Sox9</i><sup>fl/fl</sup>; <i>R26</i><sup>mG</sup> hearts. by Andrew B. Harvey (21587431)

    Published 2025
    “…Chi-square analysis indicates a significant shift in spatial distribution (p < 0.0001). …”
  18. 3438

    MLN IFN- by Jessica Belmares-Ortega (21212731)

    Published 2025
    “…<p><b>γ</b><b>production is decreased in the absence of MyD88 and</b><b>αβ</b><b>T cells.…”
  19. 3439

    Reduced expression of MYBPC3 mRNA and cMyBP-C protein in the proband. by Yuanyuan Zhang (101797)

    Published 2025
    “…<p>(A) RT-qPCR analysis showing significantly decreased MYBPC3 mRNA levels in cardiac sample from the proband compared to control subjects. …”
  20. 3440

    The effect of IFN-β and Vit D on the IL-1β and IL-10 protein production. by Farzad Nasri (8941850)

    Published 2025
    “…IFN-β and Vit D alone or together decreased IL-1β and IL-10 protein level, significantly in comparison with the control <b>(A, B)</b>. …”