Showing 9,441 - 9,460 results of 10,097 for search '"metabolism"', query time: 0.10s Refine Results
  1. 9441

    Premorbid predictors of death at initial presentation of coronary heart disease in the Women's Health Initiative study by Ming-Li Chen, Jin Li, Kruthika R. Iyer, Catherine Tcheandjieu, Shirin Jimenez, Elias Levy Itshak Salfati, Liana C. Del Gobbo, Marcia L Stefanick, Manisha Desai, Xiaonan Xue, Themistocles L Assimes

    Published 2025-03-01
    “…A high level of recreational physical activity (>1200 metabolic equivalent (MET) minutes per week) reduced one's relative risk by 32 % (12 to 49 %). …”
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  2. 9442

    Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

    Published 2025-01-01
    “…Additionally, this study identified age, adenosine deaminase level, and metabolic syndrome as potential predictive factors for gallbladder adenomas. …”
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  3. 9443

    Emerging roles of mitochondrial sirtuin SIRT5 in succinylation modification and cancer development by Zhangmin Ke, Zhangmin Ke, Kaikai Shen, Li Wang, Hao Xu, Xia Pan, Zhenjue Qian, Yuting Wen, Tangfeng Lv, Xiuwei Zhang, Yong Song

    Published 2025-01-01
    “…SIRT5 exhibits dual functionalities: it can promote tumor proliferation, metastasis, drug resistance, and metabolic reprogramming, thereby acting as an oncogene; conversely, it can also inhibit tumor cell growth and induce apoptosis, functioning as a tumor suppressor gene. …”
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  4. 9444

    Soluble Epoxide Hydrolase Inhibitor and 14,15-Epoxyeicosatrienoic Acid-Facilitated Long-Term Potentiation through cAMP and CaMKII in the Hippocampus by Han-Fang Wu, Yi-Ju Chen, Su-Zhen Wu, Chi-Wei Lee, I-Tuan Chen, Yi-Chao Lee, Chi-Chen Huang, Chung-Hsi Hsing, Chih-Wei Tang, Hui-Ching Lin

    Published 2017-01-01
    “…Epoxyeicosatrienoic acids (EETs) are derived from arachidonic acid and metabolized by soluble epoxide hydrolase (sEH). The role of EETs in synaptic function in the central nervous system is still largely unknown. …”
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  5. 9445

    Gap junction intercellular communications regulates activation of SARM1 and protects against axonal degeneration by Wen Jie Zhu, Jun Liu, Wan Hua Li, Zhi Ying Zhao, Chongquan Huang, Jian Yuan Yang, Hon Cheung Lee, Yong Juan Zhao

    Published 2025-01-01
    “…Here, we verified this metabolic regulation in somatic HEK-293T cells by overexpressing NMN-adenyltransferase to elevate cellular NAD, which resulted not only in inhibition of their own SARM1 from producing cADPR but, surprisingly, also in the 5–10 neighboring wildtype cells in mixed cultures via connexin (Cx)-43. …”
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  6. 9446

    Comparative lipidome and transcriptome provide novel insights into zero-valent iron nanoparticle-treated Fremyella diplosiphon by Yavuz S. Yalcin, Samson Gichuki, Huan Chen, Anithachristy Sigamani Arumanayagam, Shyama Malika Malwalage, Viji Sitther

    Published 2024-11-01
    “…This study on essential FAMEs and regulation of genes in nZVI-treated F. diplosiphon strains provides a molecular framework for optimization of metabolic pathways in this model species.…”
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  7. 9447

    Chemicals That Disrupt the Endocrine System and Their Effects on Behavior by Yousaf Khan1, Abdul Sattar1, Syed Amin Ullah1, Zia-Ur-Rehman2, Hakimullah3, Madeeha Bibi4, Hina Sarfraz1, Anila Mukhtiar1

    Published 2024-10-01
    “…The diseases that are commonly reported due to the action of the above chemicals and daily use items includes neurological disorders, behavioral disorders, metabolic dysfunction leading to obesity or weakness, thyroid dysfunction, reproductive disturbances and several others that can prove fatal and lead to cancer as well. …”
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  8. 9448

    Features of therapy selection in patients with glaucoma and “dry eye” syndrome by Zh.G. Oganezova, E.A. Egorov

    Published 2019-01-01
    “…Increased energy demand causes greater vulnerability of RGC in regulation violation of intracellular Ca<sup>2+</sup>, metabolic stress with increased IOP or vascular disorders. …”
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  9. 9449
  10. 9450

    Genomic identification, evolutionary analysis, and transcript profiling of protein phosphatase 2C in Solanum lycopersicum by Miah Mohammad Sakib, Md. Sifatul Islam, Asifur Rob Bhuya, Md. Rihan Kabir Shuvo, Mohammad Abdullah-Al-Shoeb, Muhammad Abul Kalam Azad, Ajit Ghosh

    Published 2024-12-01
    “…This dephosphorylation process is essential for controlling and modulating various cellular functions, including signal transduction, cell cycle progression, metabolic regulation, and stress responses. This study focuses on the comprehensive genomic identification, evolutionary analysis, and transcript profiling of the PP2C gene family within Solanum lycopersicum, an economically significant crop with substantial agricultural and nutritional importance. …”
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  11. 9451

    Clustering of non-communicable disease risk factors among school teachers: A cross-sectional study in Kerala, India by Mini GK, Sangeeth KS, Anand Marthanda Pillai, Sarma PS, Thankappan KR

    Published 2025-03-01
    “…We included WHO recommended four behavioural risk factors and four metabolic risk factors for analysis. Results: The main risk factors were physical inactivity (76.4 %) and overweight/obesity (68.8 %). …”
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  12. 9452

    Plasma Inflammatory Biomarkers Indicative of Aging and Overweight in Brazilian Women by Débora Nonato Miranda de Toledo, Priscilla Vilela dos Santos, Nathalia Sernizon Guimarães, Alessandra de Paula Carli, Patrícia Regina Soares de Souza, Luiza Oliveira Perucci, Caio César de Souza Alves, André Talvani

    Published 2024-01-01
    “…Factors such as diet, physical exercise, mental health, and genetic/metabolic conditions can influence the development of age-related inflammation. …”
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  13. 9453
  14. 9454

    CRISPR-Cas9-based one-step multiplexed genome editing through optimizing guide RNA processing strategies in Pichia pastoris by Kaidi Chen, Gulikezi Maimaitirexiati, Qiannan Zhang, Yi Li, Xiangjian Liu, Hongting Tang, Xiang Gao, Bo Wang, Tao Yu, Shuyuan Guo

    Published 2025-06-01
    “…However, the lack of convenient and efficient genome engineering tools has hindered further applications of P. pastoris, especially in complex and multistep metabolic engineering scenarios. Hence, we developed a rapid and convenient multi-gene editing system based on CRISPR/Cas9 by optimizing the guide RNA processing strategy, which can achieve dual-gene knockout or multi-gene integration in single step. …”
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  15. 9455
  16. 9456

    Individual versus group exercise effect on youth physical activity levels: a randomised controlled trial by Rockli Kim, S V Subramanian, Dario Novak, Marko Čule, Jinseo Kim

    Published 2025-01-01
    “…The overall intervention effect was estimated using linear regression method, and heterogeneity in intervention effect was assessed by modelling complex variance.Results Group-based exercise intervention significantly increased total PA time by more than 10 metabolic equivalents (METS) hours per week compared with individual-based exercise control group. …”
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  17. 9457

    Metagenomic next-generation sequencing for lung cancer low respiratory tract infections diagnosis and characterizing microbiome features by Yao Liu, Bohan Yang, Qi Qi, Shijie Liu, Yiheng Du, Linlin Ye, Qiong Zhou

    Published 2025-01-01
    “…GSVA revealed significant correlations between these genera and tumor metabolic pathways as well as various signaling pathways including PI3K, Hippo, and p53.ConclusionmNGS showed a higher pathogen detection rate than culture-based CMTs in lung cancer patients with LRTIs, and also characterizing LRT microbiome composition and revealing potential microbial functions linked to lung carcinogenesis.…”
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  18. 9458
  19. 9459
  20. 9460

    The finding and researching algorithm for potentially oscillating enzymatic systems by T. N. Lakhova, F. V. Kazantsev, S. A. Lashin, Yu. G. Matushkin

    Published 2021-06-01
    “…As an example of application of the technology, a network of 300 metabolic reactions of the bacterium Escherichia coli was analyzed using mathematical and computer modeling tools. …”
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