15 research outputs found

    Glycocalyx-Mimicking Nanoparticles Improve Anti-PD-L1 Cancer Immunotherapy through Reversion of Tumor-Associated Macrophages

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    Immune checkpoint blockade by anti-PD-L1 monoclonal antibody (Ī±PD-L1) has achieved unprecedented clinical benefits in certain cancers, whereas the therapeutic efficacy is often hindered by immunosuppressive tumor microenvironment mediated by tumor-associated macrophages (TAMs), which leads to innate resistance to this approach. To improve checkpoint blockade efficacy, the amphiphilic diblock copolymers polyĀ­(mannopyranoside/galactopyranoside methacrylate)-<i>block</i>-polystyrene are prepared by RAFT polymerization, which are sequentially self-assembled into glycocalyx-mimicking nanoparticles (GNPs) to neutralize TAMs. It is shown that GNPs can be specifically internalized by TAMs via lectin receptors, which results in upregulation of immunostimulatory IL-12 and downregulation of immunosuppressive IL-10, arginase 1, and CCL22, indicating functional reversion of protumor TAMs toward antitumor phenotype. The reversion of TAMs is proved to be mainly controlled by suppressing STAT6 and activating NF-ĪŗB phosphorylation. In vivo therapeutic studies have demonstrated that GNPs significantly enhance the therapeutic efficacy of Ī±PD-L1 cancer therapy by reduction of tumor burden. Moreover, combination therapies with GNPs and Ī±PD-L1 greatly improve immunosuppressive tumor microenvironment by reciprocal modulation of tumor-infiltrating effector and regulatory T cells. Notably, for the first time, our results demonstrate the reversion of TAMs and improvement of Ī±PD-L1 cancer therapy by synthetic carbohydrate-containing nanomaterials. This research highlights a promising strategy for optimizing immune checkpoint blockade in cancer immunotherapy

    Effect of substrate concentrations on excretion rates (a), intracellular amounts (b), CL (c), and <i>f</i><sub>met</sub> (d) of Dio-7-G, Dio-3ā€²-G, Chr-7-G, and Chr-4ā€²-G.

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    <p>Three samples (500 Ī¼L) were obtained at 15, 30, and 60 min and replaced with fresh loading solution (500 Ī¼L) that contains diosmetin or chrysoeriol. The excretion rates of glucuronides were calculated from the slope of the amount-versus-time curves. The intracellular amounts of the glucuronides were determined at the end of the excretion experiments after the cells were washed twice with ice-cold HBSS. Each column corresponds to the average of three determinations with error bars representing the S.D. The ā€œ*ā€ (for Dio-7-G or Chr-7-G) or ā€œ<sup>#</sup>ā€ (for Dio-3ā€²-G or Chr-4ā€²-G) symbol means a statistically significant difference between-group, at p < 0.05; ā€œ**ā€ or ā€œ<sup>##</sup>ā€ means p < 0.01; ā€œ***ā€ or ā€œ<sup>###</sup>ā€ means p < 0.001.</p

    Effects of chemical inhibitors on diosmetin and metabolism and UGT1A9- and UGT1A1-mediated chrysoeriol metabolism in HLMs.

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    <p>Fig 4 A shows the inhibitory effects of phenylbutazone on the 7-O-glucuronide of diosmetin in HLMs and UGT1A6. Fig 4 B displays the inhibitory effects of carvacrol on the 3ā€²-O-glucuronide of diosmetin in HLMs and UGT1A9. Fig 4 C presents the inhibitory effects of carvacrol on the 7-O-glucuronide of chrysoeriol in HLMs and UGT1A9. Fig 4 D shows the inhibitory effects of bilirubin on the 4ā€²-O-glucuronides of chrysoeriol in HLMs and UGT1A1. Each column corresponds to the average of three determinations with error bars representing the S.D. The ā€œ*ā€ symbol means a statistically significant difference compared with control at p < 0.05; ā€œ**ā€ means p < 0.01; ā€œ***ā€ means p < 0.001.</p

    Kinetics of diosmetin and chrysoeriol glucuronidation by human expressed UGT enzymes.

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    <p>The curves are estimated on the basis of fitted parameters generated using the substrate inhibition (A, D) or Michaelis-Menten kinetics (B, C) in UGT1A6, UGT1A1, UGT1A9, and UGT1A9, respectively. The Eadieā€”Hofstee plots are shown in the right panal (a-d). Each data point corresponds to the average of three determinations with error bars representing the S.D.</p

    Frequencies of HLA-DRB1 phenotypes and alleles in patients with Parkinsonā€™s disease (PD) and healthy controls.

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    <p>Phenotype Frequency (Allele Frequency) was presented in every cell. ā€œāˆ’ā€: the allele was not been detected. Phenotype Frequency: Percentage of individuals who have the allele (Individuals/N) in percentage format. Allele Frequency: Total number of copies of the allele in the population sample (Alleles/2N) in decimal format, Pcā€Š=ā€Šcorrection of P value (Bonferroni adjustment), Pc<0.05 is considered as significant, nsā€Š=ā€Šnot significant. Patients had significant higher frequencies of HLA-DRB1*0301 and lower frequency of HLA-DRB1*0406 than healthy controls did.</p

    The allele frequencies of HLA-DRB1*0301 and HLA-DRB1*0406 in populations from various ethnic regions.

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    <p>These data information were collected from the Allele Frequency Net Database <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0048594#pone.0048594-GonzalezGalarza1" target="_blank">[52]</a> except reference 25,27ā€“30,33ā€“34,38ā€“39,41,45,51. Allele Frequency: Total number of copies of the allele in the population sample (Alleles/2n) in decimal format. a: data from Chinese National Marrow Donor Program(CMDP), b: data from Tzu Chi Taiwan Marrow Donor Registry (TCTMDR), c: data from USA Colorado Univ. Cord Blood Bank, d: data from Poland DKMS, e: data from Umbilical Cord Blood Bank of Bacelona, f: data in Allele frequency net was calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.</p
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