MiR-26b inhibits melanoma cell proliferation and enhances apoptosis by suppressing TRAF5-mediated MAPK activation.

Alterations in microRNA-26b (miR-26b) expression have been shown to participate in various malignant tumor developments. However, the possible function of miR-26b in human melanoma cells remains unclarified. In this study, quantitative polymerase chain reaction was used to explore the expression profiles of miR-26b in melanoma cells. The effect of miR-26b on cell viability was determined by using MTT assays and colony formation assay. The apoptosis levels were evaluated by using Annexin V/fluorescein isothiocyanate (FITC) apoptosis detection kit and the apoptosis cells were confirmed by Transmission Electron Microscopy (TEM). Luciferase reporter plasmids were constructed to confirm direct targeting. Our study found that the expression of miR-26b was downregulated in human melanoma specimens. Overexpression of miR-26b significantly increased the anti-proliferative effects and apoptosis in A375 and B16F10 melanoma cells. In addition, luciferase gene reporter assays confirmed that TRAF5 was a direct target gene of miR-26b and the anti-tumor effect of miR-26b in melanoma cells was significantly counteracted by treatment with TRAF5 overexpression. Furthermore, the molecular mechanisms underlying the tumor suppressor of miR-26b in malignant melanomas may be due to the dephosphorylation of MAPK pathway caused by the decrease in TRAF5 expression when miR-26b is up-regulated in melanoma cells. These findings indicate that miR-26b might influence TRAF5-MAPK signaling pathways to facilitate the malignant progression of melanoma cells.

Short-term clinical effects of photodynamic therapy with topical 5-aminolevulinic acid for facial acne conglobata: an open, prospective, parallel-arm trial.

BACKGROUND: Acne conglobata is hardly curable and easily leads to scar formation after treatment using traditional methods. AIM: To develop a novel way to treat acne conglobata. METHODS: Seventy-five patients with facial acne conglobata were included in this clinical study and divided into either a treatment group (n = 35) to receive photodynamic therapy (PDT) with topical 5% 5-aminolevulinic acid and red light once every 10 days for a month or a control group (n = 40) to receive a Chinese herbal medicine mask plus red light once per week for the same duration. Patients in both groups were given oral viaminate capsules, doxycycline, zinc gluconate, and topical metronidazole. Efficacy was evaluated with respect to symptom score, cure rate, and response rate up to 2 weeks following the final treatment, and time points for assessment included baseline (D0 ), the visit before each treatment (D10 and D20 for the treatment group, and D7 , D14 , and D21 for the control group), and 2 weeks after treatment (D34 for the treatment group and D35 for the control group). Safety was assessed by recording adverse effects. RESULTS: Treatment with PDT significantly improved acne lesions and reduced scar formation. The treatment group had a significantly lower symptom score, a higher cure rate, and response rate than the control group. No systemic side effects occurred. CONCLUSION: The treatment of acne conglobata with PDT is associated with a high cure rate, short treatment period, few side effects, and reduced scar formation. To the best of our knowledge, this is the first report on the treatment of acne conglobata with PDT.

Stepwise identification of HLA-A*0201-restricted CD8+ T-cell epitope peptides from herpes simplex virus type 1 genome boosted by a StepRank scheme.

Identification of immunodominant epitopes is the first step in the rational design of peptide vaccines aimed at T-cell immunity. To date, however, it is yet a great challenge for accurately predicting the potent epitope peptides from a pool of large-scale candidates with an efficient manner. In this study, a method that we named StepRank has been developed for the reliable and rapid prediction of binding capabilities/affinities between proteins and genome-wide peptides. In this procedure, instead of single strategy used in most traditional epitope identification algorithms, four steps with different purposes and thus different computational demands are employed in turn to screen the large-scale peptide candidates that are normally generated from, for example, pathogenic genome. The steps 1 and 2 aim at qualitative exclusion of typical nonbinders by using empirical rule and linear statistical approach, while the steps 3 and 4 focus on quantitative examination and prediction of the interaction energy profile and binding affinity of peptide to target protein via quantitative structure-activity relationship (QSAR) and structure-based free energy analysis. We exemplify this method through its application to binding predictions of the peptide segments derived from the 76 known open-reading frames (ORFs) of herpes simplex virus type 1 (HSV-1) genome with or without affinity to human major histocompatibility complex class I (MHC I) molecule HLA-A*0201, and find that the predictive results are well compatible with the classical anchor residue theory and perfectly match for the extended motif pattern of MHC I-binding peptides. The putative epitopes are further confirmed by comparisons with 11 experimentally measured HLA-A*0201-restrcited peptides from the HSV-1 glycoproteins D and K. We expect that this well-designed scheme can be applied in the computational screening of other viral genomes as well.