Showing 5,301 - 5,320 results of 7,348 for search 'significantly ((((((we decrease) OR (linear decrease))) OR (nn decrease))) OR (larger decrease))', query time: 0.46s Refine Results
  1. 5301

    Table 8_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  2. 5302

    Supplementary Material for: Bidirectional Impact of Varying Severity of Acute Kidney Injury on Calcium Oxalate Stone Formation by Yang Y. (3237684)

    Published 2024
    “…The occurrence of AKI may promote the formation of renal calcium oxalate stones by exerting continuous effects on renal tubular epithelial cells. We aimed to delineate the molecular interplay between AKI and nephrolithiasis. …”
  3. 5303

    Table 6_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  4. 5304

    Table 3_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.docx by Yi-Ming Ren (555968)

    Published 2024
    “…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”
  5. 5305

    Table 3_Genomic profiling of NSCLC tumors with the TruSight oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel... by Zachary D. Wallen (19986522)

    Published 2024
    “…Known associations between genomic alterations and immunotherapy markers were observed including significantly lower TMB levels in tumors with therapy-associated alterations and significantly higher PD-L1 levels in tumors with ALK, MET, BRAF, or ROS1 driver mutations. …”
  6. 5306

    Table 7_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  7. 5307

    Table 4_Immunosuppression of spleen in mice treated with erythropoietin: transcriptomic and immunological analysis.xlsx by Xinyi Lyu (14756739)

    Published 2025
    “…When using this model, we found that EPO treated mice showed significant splenomegaly. …”
  8. 5308

    Supplementary Material for: Does oXiris Matter? A Comparative Outcome Study in CRRT-Treated Septic ICU Patients by figshare admin karger (2628495)

    Published 2025
    “…Inflammatory markers (CRP, PCT) remained elevated in oXiris patients through day 5, while hemodynamic stabilization (lactate decline, norepinephrine reduction) was more pronounced. Platelet counts decreased in both groups without recovery. Conclusions: Our study demonstrated that patients with sepsis treated using the oXiris filter exhibited significantly higher ICU survival rates, despite higher mechanical ventilation duration and ICU length of stay. …”
  9. 5309

    Data Sheet 4_Causality of genetically determined serum metabolites on lower back pain or/and sciatica: a comprehensive Mendelian randomized study.pdf by Yi-Ming Ren (555968)

    Published 2024
    “…Among them, 8 serum metabolites decreased risk of sciatica or/and lower back pain significantly (P < 0.05), and 14 serum metabolites increased risk of sciatica or/and lower back pain significantly (P < 0.05). …”
  10. 5310

    Table 3_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

    Published 2025
    “…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”
  11. 5311

    Data Sheet 5_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  12. 5312

    Data Sheet 2_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  13. 5313

    Supplementary file 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.docx by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  14. 5314

    Table 1_Resveratrol targeting MDM2/P53/PUMA axis to inhibit colonocyte apoptosis in DSS-induced ulcerative colitis mice.xlsx by Rui Tang (298719)

    Published 2025
    “…</p>Materials and Methods<p>We used dextran sulfate sodium (DSS) to induce UC in a mouse model. …”
  15. 5315

    Data Sheet 4_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  16. 5316

    Gastric microbiome composition accompanied with the <i>Helicobacter pylori</i> related DNA methylation anomaly by Takuya Shijimaya (16928363)

    Published 2024
    “…Multivariate analysis demonstrated older age (t = 3.46, <i>p</i> = 0.0007), <i>H. pylori</i> infection (t = 9.99, <i>p</i> < 0.0001) and lower bacterial alfa diversity (Shannon index: t = -2.34, <i>p</i> = 0.02) were significantly associated with CGI hypermethylation. In genus or family levels, increased abundance of <i>Helicobacter</i> was associated with hyper CGI methylation with strongest correlation, while decreased abundance of four bacteria (<i>Intrasporangiaceae family, Macellibacteroides</i>, <i>Peptostreptococcus</i> and <i>Dietziaceae family</i>) was also associated with hyper CGI methylation. …”
  17. 5317

    Data Sheet 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  18. 5318

    Data Sheet 3_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

    Published 2025
    “…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”
  19. 5319

    Data Sheet 1_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

    Published 2025
    “…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”
  20. 5320

    Data Sheet 2_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

    Published 2025
    “…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”