Showing 1,961 - 1,980 results of 2,148 for search '(( significant decrease decrease ) OR ( significantly altered decrease ))~', query time: 0.35s Refine Results
  1. 1961

    Data Sheet 2_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…<p>The pressure on coal affects the pore fracture structure, altering the seepage characteristics of fluids such as gas or water. …”
  2. 1962

    Data Sheet 1_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…<p>The pressure on coal affects the pore fracture structure, altering the seepage characteristics of fluids such as gas or water. …”
  3. 1963

    Data Sheet 6_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

    Published 2025
    “…<p>The pressure on coal affects the pore fracture structure, altering the seepage characteristics of fluids such as gas or water. …”
  4. 1964

    Table 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.xls by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  5. 1965

    Table 1_Angiotensin converting enzyme inhibitors and angiotensin receptor blockers impact on the gut microbiome: a systematic review.docx by Elisabeth M. Wang (22480771)

    Published 2025
    “…In the human study, ACEi/ARB use did not significantly alter microbial diversity, but decreased populations of facultative aerobic pathogens including Staphylococcus and Enterobacterales. …”
  6. 1966

    Image 1_Neuroimaging and molecular mechanism of action of Cang-ai volatile oil in the treatment of vascular cognitive impairment.tif by Bojun Chen (317487)

    Published 2025
    “…Simultaneously, CAVO reduced the expression of proteins in the endoplasmic reticulum stress pathway (CHOP, pPERK, CHOP, GRP78), the inflammatory factor NLRP3, and the apoptosis pathway (BAX, Bcl-2, Caspase3) (p < 0.05), increased Bcl-2 protein expression (p < 0.05). It also significantly reduced the mRNA expression of CHOP, NLRP3, GRP78, and BAX (p < 0.01).…”
  7. 1967

    Image 13_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  8. 1968

    Image 1_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  9. 1969

    Data Sheet 1_Anti-colorectal cancer effect of total minor ginsenosides produced by lactobacilli transformation of major ginsenosides by inducing apoptosis and regulating gut microb... by Yunjiao Shen (20524133)

    Published 2025
    “…High-throughput 16S rRNA sequencing was used to determine the alterations in the gut microbiota.</p>Results<p>In vitro studies demonstrated that TMG significantly inhibited proliferation and promoted apoptosis in CT26.WT cells. …”
  10. 1970

    Supplementary file 1_Mechanistic insights into the PAI-1 inhibitor PAItrap3: enhancing lipid metabolism in adipose tissue of diabetic db/db mice.xlsx by Linxi Wang (3068649)

    Published 2025
    “…Additionally, RNA-seq and targeted lipidomics were employed to analyze gene expression and lipid metabolic alterations.</p>Results<p>PAItrap3 significantly reduced blood glucose and glycated hemoglobin levels while improving insulin sensitivity. …”
  11. 1971

    S2 File - by Jinfeng Zhao (142391)

    Published 2024
    “…Exposure to aerobic exercise for 12 weeks significantly improved renal fibrosis and alleviated the intrarenal genetic alterations induced by aging. …”
  12. 1972

    Image 12_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  13. 1973

    Image 11_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  14. 1974

    Image 2_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  15. 1975

    Table 1_Impact of feed availability on growth performance and amino acid utilization of cobia (Rachycentron canadum) at elevated temperature.docx by Minh-Hoang Le (20438495)

    Published 2024
    “…</p>Discussion<p>After six weeks, a 24-hour post-prandial analysis showed selective retention of some amino acids in muscle and plasma, but significantly higher retention in the liver at the higher temperature. …”
  16. 1976

    Image 10_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  17. 1977

    Image 9_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  18. 1978

    Table 1_Statins regulate kinase signaling by causing changes in phosphorylation, rather than through changes in gene expression or direct inhibition: evidence in colorectal cancer.... by Francisco Alejandro Lagunas-Rangel (13849122)

    Published 2025
    “…Affected kinases were significantly enriched in cancer-associated pathways, including insulin signaling, EGF–EGFR signaling, PI3K/AKT signaling, and the PD-L1/PD-1 immune checkpoint axis. …”
  19. 1979

    Image 3_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”
  20. 1980

    Image 7_Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids.jpeg by Dang Li (16400478)

    Published 2024
    “…An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased Bacteroides plebeius could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. …”