Immunotherapy assays using immunoadjuvants and tumor antigens could greatly increase the survival rates of patients with malignant tumors. As effective carriers, metal-organic frameworks (MOFs) have been widely utilized in cancer therapy due to their remarkable histocompatibility and low toxicity. Herein, we constructed a multimodal imaging-guided synergistic cancer photoimmunotherapy by employing a specific MOF (MIL101-NH
2
) as the core carrier; the MOF was dual-dressed with photoacoustic and fluorescent signal donors (indocyanine green, ICG) and immune adjuvants (cytosine-phosphate-guanine sequence, CpG) and named ICG-CpG@MOF. This nanocarrier could passively target the tumor site through the EPR effect and achieve multimodal imaging (fluorescence, photoacoustic, photothermal and magnetic resonance imaging) of the tumor. Synergistic cancer photoimmunotherapy was achieved via simultaneous photodynamic and photothermal methods with 808 nm laser irradiation. ICG-CpG@MOF achieved the GSH-controlled release of immunoadjuvant into the tumor microenvironment. Furthermore, the released tumor-associated antigen along with CpG could induce the transformation of tumor cells from cold to hot by activating the immune system, which significantly enhanced tumor cytotoxicity and achieved high cure rates with minimal side-effects. This strategy utilizing multimodal imaging and synergistic cancer photoimmunotherapy provides a promising approach for the diagnosis and treatment of cancer.
Keloids represent one extreme of aberrant dermal wound healing. One of the important characteristics of keloids is uncontrolled fibroblasts proliferation. However, the mechanism of excessive proliferation of fibroblasts in keloids remains elusive. In this study, we demonstrated that TRAF4 was highly expressed in keloid fibroblasts and promoted fibroproliferation. We investigated the underlying molecular mechanism and found that TRAF4 suppressed the p53 pathway independent of its E3 ubiquitin ligase activity. Specifically, TRAF4 interacted with the deubiquitinase USP10 and blocked the access of p53 to USP10, resulting in p53 destabilization. Knockdown of p53 rescued cell proliferation in TRAF4-knockdown keloid fibroblasts, suggesting that the regulation of proliferation by TRAF4 in keloids relied on p53. Furthermore, in keloid patient samples, TRAF4 expression was inversely correlated with p53ep21 signaling activity. These findings help to elucidate the mechanisms underlying keloid development and indicate that blocking TRAF4 could represent a potential strategy for keloid therapy in the future.
Youden index is widely utilized in studies evaluating accuracy of diagnostic tests and performance of predictive, prognostic, or risk models. However, both one and two independent sample tests on Youden index have been derived ignoring the dependence (association) between sensitivity and specificity, resulting in potentially misleading findings. Besides, paired sample test on Youden index is currently unavailable. This article develops efficient statistical inference procedures for one sample, independent, and paired sample tests on Youden index by accounting for contingency correlation, namely associations between sensitivity and specificity and paired samples typically represented in contingency tables. For one and two independent sample tests, the variances are estimated by Delta method, and the statistical inference is based on the central limit theory, which are then verified by bootstrap estimates. For paired samples test, we show that the estimated covariance of the two sensitivities and specificities can be represented as a function of kappa statistic so the test can be readily carried out. We then show the remarkable accuracy of the estimated variance using a constrained optimization approach. Simulation is performed to evaluate the statistical properties of the derived tests. The proposed approaches yield more stable type I errors at the nominal level and substantially higher power (efficiency) than does the original Youden's approach. Therefore, the simple explicit large sample solution performs very well. Because we can readily implement the asymptotic and exact bootstrap computation with common software like R, the method is broadly applicable to the evaluation of diagnostic tests and model performance.
Single-dose azithromycin is recommended for treating Chlamydia trachomatis infections. Here, we established an in vitro cell model of azithromycin-induced persistent infection. Azithromycin inhibited the replication of C. trachomatis in a dose-time-dependent manner. Electron microscopy indicated that small inclusions in the induced model contained enlarged, aberrant and non-infectious reticulate bodies. RT-PCR showed that C. trachomatis still has the ability to express the unprocessed 16S rRNA gene in the model and that C. trachomatis recovered after the removal of azithromycin with a peak recovery time of 24 h. The mutations in 23S rRNA, L4 and L22 genes were not found in persistent infection, and qRT-PCR analysis showed that the relative expression level of euo in azithromycin treated infection was upregulated while omcB was downregulated. In summary, this study provides a novel in vitro cell model to examine the characteristics of azithromycin-induced persistent infection and contribute to the development of treatments for C. trachomatis infection.
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