The treatment of cancer through the induction of natural killer group 2, member D (NKG2D) ligands is of interest, but understanding of mechanisms controlling expression of individual ligand is limited. The major histocompatibility complex (MHC) class I chain related protein B (MICB) is a member of NKG2D ligands. We aimed to investigate the role of 3′-untranslated (3′-UTR) and 5′-untranslated regions (5′-UTR) in post-transcriptional regulation of MICB. Nine novel microRNAs (miRNAs) predicted to interact with 3′-UTR and 5′-UTR using TargetScan, RNAhybrid and miBridge were identified. Their regulation of 3′-UTR, 5′-UTR and both 3′- and 5′-UTR sequences of MICB were indicated by the reduction of luciferase activities of luciferase reporter constructs. Mutations of miRNA binding sites at 3′- and 5′-UTRs resulted in increased luciferase activities confirming the regulation of nine candidate miRNAs. In addition, overexpression of candidate miRNAs also down-regulated the expression of reporter constructs. Consequently, the overexpression and inhibition of candidate miRNAs lead to the decreased and increased. MICB protein expressions on the cells tested, respectively. This study has identified a new role of miRNAs in regulation of MICB expression via both 3′-UTR and 5′-UTR sequences applicable for cancer immunotherapy.

In the aging process, the presence of interleukin (IL)-17-producing CD4+CD28-NKG2D+T cells (called pathogenic CD4+ T cells) is strongly associated with inflammation and the development of various diseases. Thus, their presence needs to be monitored. The emergence of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy empowered with machine learning is a breakthrough in the field of medical diagnostics. This study aimed to discriminate between the elderly with a low percentage (LP; ≤3%) and a high percentage (HP; ≥6%) of pathogenic CD4+CD28-NKG2D+IL17+ T cells by utilizing ATR-FTIR coupled with machine learning algorithms. ATR spectra of serum, exosome, and HDL from both groups were explored in this study. Only exosome spectra in the 1700–1500 cm⁻¹ region exhibited possible discrimination for the LP and HP groups based on principal component analysis (PCA). Furthermore, partial least square-discriminant analysis (PLS-DA) could differentiate both groups using the 1700–1500 cm⁻¹ region of exosome ATR spectra with 64% accuracy, 69% sensitivity, and 61% specificity. To obtain better classification performance, several spectral models were then established using advanced machine learning algorithms, including J48 decision tree, support vector machine (SVM), random forest (RF), and neural network (NN). Herein, NN was considered to be the best model with an accuracy of 100%, sensitivity of 100%, and specificity of 100% using serum spectra in the region of 1800–900 cm⁻¹. Exosome spectra in the 1700–1500 and combined 3000–2800 and 1800–900 cm⁻¹ regions using the NN algorithm gave the same accuracy performance of 95% with a variation in sensitivity and specificity. HDL spectra with the NN algorithm also showed excellent test performance in the 1800–900 cm⁻¹ region with 97% accuracy, 100% sensitivity, and 95% specificity. This study demonstrates that ATR-FTIR coupled with machine learning algorithms can be used to study immunosenescence. Furthermore, this approach can possibly be applied to monitor the presence of pathogenic CD4+ T cells in the elderly. Due to the limited number of samples used in this study, it is necessary to conduct a large-scale study to obtain more robust classification models and to assess the true clinical diagnostic performance.

Killer-cell immunoglobulin-like receptor (KIR) 3DL3 is a framework gene present in all human KIR haplotypes. Although the structure of KIR3DL3 is suggestive of an inhibitory receptor, the function of KIR3DL3 has not been demonstrated and cognate ligands have not been identified. KIR3DL3 has been shown to be constitutively expressed at a low RNA level in peripheral blood mononuclear cell (PBMC) and decidual natural kill (NK) cells, but cell surface expression of KIR3DL3 cannot be detected. Accordingly, post-transcriptional regulation of KIR3DL3 should exist. Using bioinformatics analysis, we identified three candidate micro ribonucleic acids (miRNAs; miR-26a-5p, -26b-5p and -185-5p) that potentially regulate KIR3DL3 expression. Luciferase reporter assays utilizing constructs with mutated miRNA-binding sites of miR-26a-5p, -26b-5p and -185-5p in the 3’-untranslated region (3’ UTR) of KIR3DL3 resulted in up-regulation of luciferase activity demonstrating a potential mechanism of gene regulation. Furthermore, knockdown of the same endogenous miRNAs using silencing ribonucleic acid (siRNA) led to induced surface expression of KIR3DL3. In conclusion, we provide a novel mechanism of functional regulation of KIR3DL3 via miRNAs. These findings are relevant in understanding the generation of KIR repertoire and NK cell clonality.

This study investigated the effect of vitamin C on polymorphonuclear (PMN) cell functions in type 2 diabetes mellitus patients with poor glycemic control. We hypothesized that oral vitamin C treatment improves PMN cell functions. Patients (14) received either a vitamin C (1000 mg/d) or placebo (anhydrous calcium hydrogen phosphate) tablet for 6 weeks and were subjected to a 6-week washout period followed by a 6-week treatment crossover period. Blood samples were collected at pretreatment and posttreatment for PMN cell functions (by flow cytometry) and plasma vitamin C concentration. Phagocytosis was examined by incubating whole blood samples with fluorescein isothiocyanate-labeled Staphylococcus aureus, and oxidative burst was simultaneously evaluated by adding hydroethidine. In comparison with placebo, vitamin C increased both PMN cell phagocytosis (pretreatment: placebo, 17.8% ± 1.6% and vitamin C, 19.0% ± 3.4%, P = .70; posttreatment: placebo, 16.6% ± 1.7% and vitamin C, 27.1% ± 2.9%, P = .005) and oxidative burst (pretreatment: placebo, 6.4% ± 0.8% and vitamin C, 7.1% ± 1.2%, P = .60; posttreatment: placebo, 6.9% ± 1.3% and vitamin C, 12.1% ± 1.6%, P = .02). The plasma vitamin C concentration was elevated after vitamin C treatment as compared with that before treatment (P < .001) and was higher than that observed in the placebo treatment group (P < .01). Plasma vitamin C concentration and PMN cell functions were not significantly different before both treatments. We conclude that the 6-week 1000-mg/d vitamin C increased PMN phagocytosis and oxidative burst in type 2 diabetes mellitus patients with poor glycemic control.