Showing 1,081 - 1,100 results of 1,128 for search '(( c large decrease ) OR ( c ((large decrease) OR (larger decrease)) ))', query time: 0.40s Refine Results
  1. 1081

    Weight gain was associated with worsening glycemia and cardiovascular and kidney outcomes in type 2 diabetes patients independent of diabetes medication in the GRADE Randomized Con... by Deborah J. Wexler (492527)

    Published 2025
    “…Thereafter, weight decreased in all groups. Weight gain within the first six months was associated with increased risk of HbA1c>7.5%, with modest differences by treatment, and with subsequent CVD (HR 1.03 [1.005, 1.06]). …”
  2. 1082

    Supplementary file 1_Association between CRP-TyG index and hepatic synthetic function in post-myocardial infarction ICU patients.docx by Jiao Bao (18783159)

    Published 2025
    “…</p>Methods<p>Single-center, retrospective cross-sectional study of 286 consecutive post-MI ICU patients (standardized laboratory sampling within 24 h). CTI integrated C-reactive protein with the triglyceride–glucose index. …”
  3. 1083
  4. 1084

    Data Sheet 1_Efficacy and safety of anlotinib combined with 125I seed implantation for iodine-refractory thyroid cancer.docx by Zhijun Chen (254277)

    Published 2025
    “…Tumor volumes in all groups decreased after treatment, with the greatest reduction within 6 months in the combination group (p < 0.001). …”
  5. 1085

    Update on trimethylamine N-oxide (TMAO) as a piezolyte and cryoprotectant: its role in a depth limit for marine fishes and loss from hadal fish during capture by Paul Yancey (14354982)

    Published 2025
    “…</p><p dir="ltr">Jamieson AJ, Yancey PH (2012). doi/10.1086/BBLv222n3p171</p><p dir="ltr">Lantz C, Xi Z, Rider RL, Walker TE, Hebert M, Russell DH (2024). doi.org/10.1021/acs.jpcb.4c04951</p><p dir="ltr">Laurent H, Youngs TGA, Headen TF, Soper AK, Dougan L (2022). doi.org/10.1038/s42004-022-00726-z</p><p dir="ltr">Li X, Wang C, Yanagita T, Xue C, Zhang T, Wang Y (2024). doi.org/10.1021/acs.jafc.4c01974</p><p dir="ltr">Linley T, Gerringer M, Yancey PH, Drazen JC, Weinstock C, Jamieson A (2016). doi.org/10.1016/j.dsr.2016.05.003</p><p dir="ltr">Liu Q, Jiang S, Li W, Pan B, Xu Q (2022). doi.org/10.3390/jmse10040454</p><p dir="ltr">Liu T-H, Okuno M (2024). doi.org/10.1039/D4CP01025F</p><p dir="ltr">Loo RL, Chan Q, Nicholson JK, Holmes E (2022). doi.org/10.1021/acs.jproteome.1c00851</p><p dir="ltr">Mueller-Dieckmann C, Kauffmann B, Weiss MS (2011). doi.org/10.1107/S0021889811000</p><p dir="ltr">Mu Y, Bian C, Liu R, Wang Y, Shao G, Li J, et al. (2021). doi.org/10.1371/journal.pgen.1009530</p><p dir="ltr">Raymond JA, Devries AL (1998). doi.org/10.1023/a:1007778728627</p><p dir="ltr">Raymond JA, Hassel A (2005). doi.org/10.1111/j.1095-8649.2000.tb02240.x</p><p dir="ltr">Roche J, Royer CA (2018). doi.org/10.1098/rsif.2018.0244</p><p dir="ltr">Samerotte AL, Drazen JC, Brand GL, Seibel BA, Yancey PH (2007). doi/10.1086/510566</p><p dir="ltr">Swan JA, Jamieson AJ, Linley TD, Yancey PH (2021). doi.org/10.1093/jcbiol/ruaa102</p><p dir="ltr">Treberg JR, Bystriansky JS, Driedzic WR (2005). doi.org/10.1002/jez.a.140</p><p dir="ltr">Wang K, Shen Y, Yang Y, Gan X, Liu G, Hu K, et al. (2019). doi.org/10.1038/s41559-019-0864-8</p><p dir="ltr">Xu H, Fang C, Xu W, Wang C, Song Y, Zhu C, et al. (2025). doi.org/10.1016/j.cell.2025.01.002</p><p dir="ltr">Yancey PH, Speers-Roesch B, Atchison A, Reist JD., Treberg JR (2018). doi.org/10.1086/696157</p><p dir="ltr">Yancey PH (2020). doi.org/10.1002/jez.2354</p><p dir="ltr">Yancey PH (2023). doi/10.33594/000000661</p>…”
  6. 1086

    Image 3_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.tif by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  7. 1087

    Image 2_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.tif by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  8. 1088

    Image 1_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.tif by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  9. 1089

    Table 2_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.xlsx by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  10. 1090

    Image 4_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.tif by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  11. 1091

    Table 1_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.xlsx by Rong Su (2210740)

    Published 2025
    “…The data integration of scRNA-seq and bulk RNA-seq showed the decreased TIDE score in the high-risk patients and the elevated levels of Macro-secreted phosphoprotein 1 (SPP1), MDSC-meiotic nuclear divisions 1 (MND1), γδ T cells, and Macro-complement C1q C chain (C1QC) predicted adverse prognosis. …”
  12. 1092

    smFISH probe sequences used in this study. by Grace E. Johnson (21376787)

    Published 2025
    “…To define mechanisms underlying biofilm developmental transitions, we establish a single-molecule fluorescence in situ hybridization (smFISH) approach that enables accurate quantitation of spatiotemporal gene-expression patterns in biofilms at cell-scale resolution. smFISH analyses of <i>V. cholerae</i> biofilm regulatory and structural genes demonstrate that, as biofilms mature, overall matrix gene expression decreases, and simultaneously, a pattern emerges in which matrix gene expression becomes largely confined to peripheral biofilm cells. …”
  13. 1093

    Strains used in this study. by Grace E. Johnson (21376787)

    Published 2025
    “…To define mechanisms underlying biofilm developmental transitions, we establish a single-molecule fluorescence in situ hybridization (smFISH) approach that enables accurate quantitation of spatiotemporal gene-expression patterns in biofilms at cell-scale resolution. smFISH analyses of <i>V. cholerae</i> biofilm regulatory and structural genes demonstrate that, as biofilms mature, overall matrix gene expression decreases, and simultaneously, a pattern emerges in which matrix gene expression becomes largely confined to peripheral biofilm cells. …”
  14. 1094
  15. 1095
  16. 1096

    Inactivation of Topo IV leads to a specific inability to replicate the terminus region of the chromosome. by Parisa D. Mokhtari (22209097)

    Published 2025
    “…<p>Replication profiles of growing wild-type, <i><i>gyrB</i></i><sup>ts</sup>, and <i><i>parE</i></i><sup>ts</sup> cells are plotted at 0, 1.5, and 3 hrs after temperature shift from 30°C to 43°C. In actively growing wild-type cultures, the copy number of sequences decreases inversely with distance from the origin until reaching the terminus region. …”
  17. 1097
  18. 1098
  19. 1099

    Data Sheet 1_Sodium-glucose cotransporter 2 inhibitors—but not insulin—enhance renal branched-chain amino acid catabolism.docx by Moeko Sakamoto (22578098)

    Published 2025
    “…Whether SGLT2i also promotes renal BCAA catabolism is largely unknown. We hypothesized that SGLT2i enhances renal BCAA catabolism independently of glycemic effects.…”
  20. 1100

    Data Sheet 1_Formate addition enhanced hydrogen production by Thermococcus paralvinellae when grown on brewery wastewater.pdf by Harita Sistu (20893940)

    Published 2025
    “…T. paralvinellae was grown at 80°C on maltose only (a model brewery wastewater), formate only, and maltose plus formate media as well as brewery wastewater with and without the addition of formate. …”