Showing 24,741 - 24,760 results of 25,042 for search '"CD"', query time: 0.14s Refine Results
  1. 24741
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  3. 24743

    Incidence and contributing factors of dementia among people living with HIV in British Columbia, Canada, from 2002 to 2016: a retrospective cohort study by Rolando Barrios, Julio S G Montaner, Silvia Guillemi, Ni Gusti Ayu Nanditha, Viviane D Lima, Thomas L Patterson, Fidel Vila-Rodriguez, William G Honer, Jason Trigg, Hasan Nathani, Sara Shayegi-Nik, Weijia Yin, Alejandra Fonseca, Bronhilda T Takeh

    Published 2024-04-01
    “…Among the adjusted covariates, CD4 cell count<50 cells/mm3 (adjusted CSH (aCSH) 8.61, 95% CI: 4.75 to 15.60), uncontrolled viremia (aCSH 1.95, 95% CI: 1.20 to 3.17), 10-year increase in age (aCSH 2.41, 95% CI: 1.89 to 3.07), schizophrenia (aCSH 2.85, 95% CI: 1.69 to 4.80), traumatic brain injury (aCSH 2.43, 95% CI: 1.59 to 3.71), delirium (aCSH 2.27, 95% CI: 1.45 to 3.55), substance use disorder (SUD) (aCSH 1.94, 95% CI: 1.18 to 3.21) and mood/anxiety disorders (aCSH 1.80, 95% CI: 1.13 to 2.86) were associated with an increased hazard for dementia. …”
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  9. 24749

    BCL-2 overexpression exosomes promote the proliferation and migration of mesenchymal stem cells in hypoxic environment for skin injury in rats by Ying Wang, Guang Li, Guofeng Li, Yutao Pan, Zhongmin Liu

    Published 2025-01-01
    “…The expressions of KRT14, α‐SMA, CD31 and PCNA in rat trauma tissues were analyzed by immunofluorescence staining. …”
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  13. 24753

    Impact of endoplasmic reticulum aminopeptidases 1 (ERAP1) and 2 (ERAP2) on neutrophil cellular functions by Irma Saulle, Irma Saulle, Fiona Limanaqi, Micaela Garziano, Micaela Garziano, Maria Luisa Murno, Valentina Artusa, Valentina Artusa, Sergio Strizzi, Matteo Giovarelli, Carsten Schulte, Jacopo Aiello, Mario Clerici, Mario Clerici, Claudia Vanetti, Mara Biasin

    Published 2025-01-01
    “…In these cells following 3 h or 24 h rhERAP stimulation by Western Blot, RT-qPCR, Elisa, Confocal microscopy, transwell migration assay, Oxygraphy and Flow Cytometry we assessed: i) rhERAP internalization; ii) activation; iii) migration; iv) oxygen consumption rate; v) reactive oxygen species (ROS) accumulation; granule release; vi) phagocytosis; and vii) autophagy.ResultsWe observed that following stimulation rhERAPs: i) were internalized by neutrophils; ii) triggered their activation as witnessed by increased percentage of MAC-1+CD66b+ expressing neutrophils, cytokine expression/release (IL-1β, IL-8, CCL2, TNFα, IFNγ, MIP-1β) and granule enzyme secretion (myeloperoxidase, Elastase); iii) increased neutrophil migration capacity; iv) increased autophagy and phagocytosis activity; v) reduced ROS accumulation and did not influence oxygen consumption rate.ConclusionOur study provides novel insights into the biological role of ERAPs, and indicates that extracellular ERAPs, contribute to shaping neutrophil homeostasis by promoting survival and tolerance in response to stress-related inflammation. …”
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    HDAC and MEK inhibition synergistically suppresses HOXC6 and enhances PD-1 blockade efficacy in BRAFV600E-mutant microsatellite stable colorectal cancer by Xin Li, Peng Yang, Jin Gu, Nan Chen, Dengbo Ji, Jinhong Xia, Jinying Jia, Zhuang Sun, Mengyuan Shi, Hanyang Wang, Zhaoya Gao

    Published 2025-01-01
    “…Echoing the above findings, in vivo, HDAC and MEK inhibitors significantly improved PD-1 blockade efficacy, accompanied by increased CD8+ T-cell infiltration.Conclusions Our findings indicate that combining HDAC inhibitor, MEK inhibitor, and PD-1 blockade is a potential strategy for treating BRAFV600E-mutant MSS CRC, warranting further investigation in clinical settings.…”
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  19. 24759

    Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

    Published 2025-01-01
    “…By employing various machine learning algorithms, we pinpointed eight pivotal genes linked to PCD, specifically FLT3, SORL1, CD8A, BCL2L1, COL13A1, MPG, DYRK2 and CAMK2B. Following this, we established a Programmed Cell Death Index (PCDI) utilizing the aforementioned genes and amalgamated it with pertinent clinical characteristics to formulate a predictive nomogram model for prognosis. …”
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