Characterization of CM-Dil-labeled Muse cells in culture and in skin wounds in rats.

To investigate the characteristics of multilineage-differentiating stress-enduring (Muse) cells labeled with chloromethyl dialkylcarbocyanine (CM-Dil) in culture and in skin wounds of rats. Normal human dermal fibroblasts (NHDFs) were obtained from foreskins and were confirmed by immunocytochemistry with vimentin. Muse cells were derived from NHDFs using long-term trypsinization (LTT), were confirmed using immunocytochemistry with antibodies against stage specific embryonic antigen-3 (SSEA-3) and CD105 and were expanded in suspension cultures. The Muse cells were labeled with CM-Dil and were further evaluated with respect to their biological properties using CCK-8 assays and scratch tests. One hundred µl CM-Dil-labeled Muse cells at a concentration of 5 × 103/µl were injected subcutaneously at the edges of skin wounds in adult male SD rats. At weeks 1, 3 and 5 after the injection, the distribution of CM-Dil-labeled Muse cells in skin tissues was observed using immunofluorescence microscopy. Muse cells were double-positive for CD105 and SSEA-3. ALP staining of the M-clusters were positive and they displayed orange-red fluorescence after labelling with CM-Dil, which had no adverse effects on their viability, migration or differentiation capacity. One week after the subcutaneous injection of CM-Dil-labeled Muse cells, many cells with orange-red fluorescence were observed at the edges of the skin injuries; those fluorescent spots gradually decreased over time, and only a few Muse cells with fluorescence could be detected by week 5. CM-Dil can be used to label Muse cells without affecting their proliferation, migration or differentiation, and can be used for short-term tracking of Muse cells for the treatment of skin wounds in a rat model.

Th1 bias of liver mucosal-associated invariant T cells promotes hepatic gluconeogenesis in type 2 diabetes mellitus.

AIMS: It is acknowledged that aberrant liver immunity contributes to the development of type 2 diabetes mellitus (T2DM). Mucosal-associated invariant T (MAIT) cells, an innate-like T-cell subset, are enriched in the human liver. Nevertheless, the characterisation and potential role of hepatic MAIT cells in T2DM remain unclear. MATERIALS AND METHODS: Fourteen newly diagnosed T2DM subjects and 15 controls received liver biopsy. The frequency and cytokine production of MAIT cells were analysed by flow cytometry. The expression of genes involved in glucose metabolism was determined in HepG2 cells co-cultured with hepatic MAIT cells. RESULTS: Compared with controls, hepatic MAIT cell frequency was significantly increased in T2DM patients (24.66% vs. 14.61%, p = 0.001). There were more MAIT cells producing interferon-γ (IFN-γ, 60.49% vs. 33.33%, p = 0.021) and tumour necrosis factor-α (TNF-α, 46.84% vs. 5.91%, p = 0.021) in T2DM than in controls, whereas their production of interleukin 17 (IL-17) was comparable (15.25% vs. 4.55%, p = 0.054). Notably, an IFN-γ+ TNF-α+ IL-17+/- producing MAIT cell subset was focussed, which showed an elevated proportion in T2DM (42.66% vs. 5.85%, p = 0.021) and positively correlated with plasma glucose levels. A co-culture experiment further indicated that hepatic MAIT cells from T2DM upregulated the gene expression of pyruvate carboxylase, a key molecule involved in gluconeogenesis, in HepG2 cells, and this response was blocked with neutralising antibodies against IFN-γ and TNF-α. CONCLUSIONS: Our data implicate an increased Th1-like MAIT cell subset in the liver of newly diagnosed T2DM subjects, which induces hyperglycaemia by promoting hepatic gluconeogenesis. It provides novel insights into the immune regulation of metabolic homoeostasis. CLINICAL TRIAL REGISTRATION NUMBER: NCT03296605 (registered at www. CLINICALTRIALS: gov on 12 October 2018).

The effects of miRNA-27a-3p on human epidermal melanocytes.

OBJECTIVE: To characterize the effects of miRNA-27a-3p on the biological properties of human epidermal melanocytes (MCs). METHODS: MCs were obtained from human foreskins and transfected with miRNA-27a-3p mimic (induces the overexpression of miRNA-27a-3p), mimic-NC (the negative control group), miRNA-27a-3p inhibitor, or inhibitor-NC. After transfection, the proliferation of MCs in each group was evaluated by cell counting kit-8 (CCK-8) at 1, 3, 5, and 7 days. Twenty-four hours later, the MCs were transferred onto a living cell imaging platform and cultured for another 12 h to detect their trajectories and velocities. On days 3, 4, and 5 after transfection, the expression of melanogenesis-related mRNAs, protein levels, and melanin contents were measured using reverse transcription-polymerase chain reaction (RT-PCR), Western blotting, and NaOH solubilization, respectively. RESULTS: The RT-PCR results showed that miRNA-27a-3p was successfully transfected into MCs. The proliferation of MCs was restrained by miRNA-27a-3p. There were no significant differences in the movement trajectories of MCs in the four transfected groups, but the cell movement velocity in the mimic group was slightly lower; that is, the overexpression of miRNA-27a-3p inhibited the speed of MCs. The expression levels of melanogenesis-related mRNAs and proteins were decreased in the mimic group and were increased in the inhibitor group. Melanin content in the mimic group was lower than that in the other three groups. CONCLUSIONS: Overexpression of miRNA-27a-3p inhibits the expression of melanogenesis-related mRNAs and proteins, reduces the melanin content of human epidermal MCs, and slightly impacts their movement speed.

RNA-seq and ATAC-seq analyses of multilineage differentiating stress enduring cells: Comparison with dermal fibroblasts.

The aim of this study is to characterize the molecular properties of multilineage differentiating stress-enduring (Muse) cells compared with dermal fibroblasts (FBs) and to characterize differences in their transcriptomes and open chromatin regions that are involved in cellular plasticity. Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and RNA sequencing (RNA-seq) analyses was then performed on FBs and Muse cells. Subsequently, cell type-selective gene regulatory regions were identified by coalition analysis. Expression patterns of transcription factors (TFs) and signaling pathways intermediates were verified using quantitative real-time polymerase chain reaction and Western blot analyses. RNA-seq identified 2355 significantly differentially expressed genes (DEGs) that regulate the transcriptome, including 1222 upregulated and 1133 downregulated DEGs. The general panorama of RNA-seq and ATAC-seq analyses confirmed the differences in TFs and open chromatin regions between FBs and Muse cells. ATAC-seq analysis showed that Muse cells had more reproducible and meaningful peaks than FBs, and the peak signals were concentrated near promoter-transcription start site areas. In genomic regions that can be preferentially accessed in FBs and Muse cells, more than 200 TFs had binding motif sequences. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and coalition analyses identified differences in factors involved in the cell cycle and the protein kinase B (AKT) signaling pathway of FBs and Muse cells. The results of RNA-seq and ATAC-seq analyses clarified the genetic basis of the different biological properties of Muse cells and FBs. These results suggest that the cell cycle transition and the AKT signaling pathway may affect the morphology and biological characteristics of Muse cells.

Bioinformatic Analysis of Genes Associated with Autophagy in Vitiligo.

Background: As vitiligo progresses, autophagy becomes more and more important. Objectives: To validate potential genes associated with autophagy in vitiligo through bioinformatics analysis and experimental testing. Materials and Methods: Dataset GSE75819 of mRNA expression profiles was obtained from GEO. After data normalisation, gene set enrichment analyse enrichment analysis and abundance analysis of infiltrating immune cells were performed. A list of autophagy-related differentially expressed genes (ARDEGs) associated with vitiligo was generated using R software. Protein-protein interaction (PPI) analysis, correlation analysis, and enrichment analysis on gene ontology (GO) and Kyoto encyclopaedia of genes and genome (KEGG) pathways were conducted on the ARDEG data. The microRNAs associated with hub genes were predicted using the TargetScan database. Finally, RNA expression of 10 hub genes and Western blotting (WB) of autophagy pathway factors were further verified. Results: From the lesions of 15 vitiligo patients, 44 ARDEGs were identified. PPI analysis demonstrated that these ARDEGs interacted with each other. GO and KEGG analyses of ARDEGs revealed that several enriched terms were associated with macroautophagy (biological process), vacuolar membranes (cellular components), cysteine-type peptidase activity (molecular function), and autophagy in animals, neurodegeneration-multiple disease pathways, and apoptosis. In vitiligo lesions, qRT-PCR and sequencing validation analyses showed expression levels of CCL2, RB1CC1, TP53, and ATG9A that were consistent with bioinformatic analysis of the microarray. WB results also showed that autophagy-related proteins were differentially expressed. Conclusions: Forty-four potential ARDEGs were identified in vitiligo by bioinformatic analysis. Vitiligo may be affected by autophagy regulation through CCL2, RB1CC1, TP53, and ATG9A.

Effects of Photodynamic Therapy Using 5 -Aminolevulinic Acid (ALA) Loaded Acrylic Nanoparticles (ANPs) on HaCaT Cells.

Objective: ALA-PDT (5-aminolevulinic acid photodynamic therapy) is a central modality in the treatment of skin diseases. Increasing the bioavailability of ALA remains a critical issue. With this in mind, our study explores a novel route of ALA delivery by loading acrylic nanoparticles (ANPs). Methods: ALA-ANPs were synthesized by emulsion polymerisation and characterised by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). The effects of ALA-ANPs on HaCaT cell line were evaluated, including characteristics, morphological changes, protoporphyrin IX (PpIX) fluorescence kinetics, reactive oxygen species (ROS) levels, mitochondrial membrane potential and ki67 expression in these cells. Results: The ANPs had uniform sizes, smooth surfaces and excellent light transmittance, with diameters of 150-200 nm. In contrast, the ALA - ANPs had uneven surfaces and poor light transmittance, with diameters of 220-250 nm. During 12 hours of co-incubation of HaCaT cells with ALA, the intracellular accumulation of PpIX increased over time. Notably, after 6 hours of incubation, PpIX levels induced by 1.81 mg/mL ALA-ANPs exceeded those induced by 1.0 mM ALA (p < 0.01). CCK-8 results showed a positive correlation between PDT-induced inhibition of HaCaT cell proliferation and ALA concentration when ALA concentration remained below 2.0 mM. Compared to the 1.0 mM ALA group, the 1.81 mg/mL ALA-ANPs group showed decreased mitochondrial membrane potential, ki67 immunofluorescence intensity and cell proliferation. In contrast, ROS levels were significantly increased in the 1.81 mg/mL ALA-ANPs group (p < 0.01). Conclusion: Loading ANPs provide improved stability and potency for ALA. The ALA-ANPs-PDT approach has superior inhibitory effects on HaCaT proliferation in vitro.

Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms.

Objective: To identify potential diagnostic markers for vitiligo and determine the significance of immune cell infiltration in pathology. Methods: Three publicly available gene expression profiles (GSE53146, GSE75819 and GSE65127 datasets) from human vitiligo and control samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened between 20 vitiligo and 20 control samples. Logical regression of the selection operator (LASSO) model and support vector machine recursive feature elimination (SVM-RFE) analysis were performed to identify candidate biomarkers. The area under the receiver operating characteristic curve (AUC) value was obtained and was used to evaluate the discriminatory ability. The expression level and diagnostic value of the biomarkers in vitiligo were further validated in the GSE65127 dataset (10 vitiligo patients and 10 healthy controls). Finally, the immune cell infiltration of vitiligo was evaluated by CIBERSORT, and the correlation between biomarkers and infiltrating immune cells was analyzed. The compositional patterns of the 22 types of immune cell fractions in vitiligo were estimated from the pooled cohorts using CIBERSORT. In addition, we established a mouse model of vitiligo with monobenzone and validated the screened biomarkers. Results: A total of 23 associated DEGs were identified, including 9 up-regulated and 14 down-regulated genes. Subsequently, 17 genes meeting prognostic criteria and 2 common genes (DCT and KIF1A) were obtained by SVM and Venn diagram screening. Immunodifferential analysis showed that microenvironment of vitiligo patients was altered. Finally, the different expression was verified by polymerase chain reaction (PCR). Conclusion: Biomarkers associated with vitiligo can be screened by comprehensive strategies, and immune cell infiltration plays a key role in the development of vitiligo.

Development of biodegradable nanogels for lipase accelerated drug release of 5-aminolevulinic acid.

Photodynamic therapy (PDT) using 5-aminolevulinic acid (5-ALA) is an important approach for the treatment of some skin diseases and cancers. A major defect of this approach is that it is difficult for 5-ALA to accumulate around lesions in deeper regions of tissue, resulting in poor conversion to the active fluorophore and photodynamic efficiencies. Because of their targeting and controlled release abilities, nanogel carriers could solve this problem. In this paper, nanogels were prepared by using micro-emulsion polymerization with various biodegradable polyester crosslinkers (L-lactide and ε-caprolactone). The swelling and degradation properties and entrapment efficiency, drug loading and drug release ability of the nanogels were investigated. Nanogels co-cultured with skin cancer cells (A2058) allowed the efficiency of the PDT in vitro to be demonstrated. The results showed that the swelling rate of hydrogels reduced with increasing crosslinker levels, which caused a slow-down in the release of 5-ALA, but lipase accelerated degradation of nanogels increased 5-ALA concentrations in tumor cells and leading to higher PDT efficiency. It was proved by in vivo experiment indicating that the development of skin cancer tissues were efficiently inhibited by the 5-ALA loaded nanogels.

Decoding Visual fMRI Stimuli from Human Brain Based on Graph Convolutional Neural Network.

Brain decoding is to predict the external stimulus information from the collected brain response activities, and visual information is one of the most important sources of external stimulus information. Decoding functional magnetic resonance imaging (fMRI) based on visual stimulation is helpful in understanding the working mechanism of the brain visual function regions. Traditional brain decoding algorithms cannot accurately extract stimuli features from fMRI. To address these shortcomings, this paper proposed a brain decoding algorithm based on a graph convolution network (GCN). Firstly, 11 regions of interest (ROI) were selected according to the human brain visual function regions, which can avoid the noise interference of the non-visual regions of the human brain; then, a deep three-dimensional convolution neural network was specially designed to extract the features of these 11 regions; next, the GCN was used to extract the functional correlation features between the different human brain visual regions. Furthermore, to avoid the problem of gradient disappearance when there were too many layers of graph convolutional neural network, the residual connections were adopted in our algorithm, which helped to integrate different levels of features in order to improve the accuracy of the proposed GCN. The proposed algorithm was tested on the public dataset, and the recognition accuracy reached 98.67%. Compared with the other state-of-the-art algorithms, the proposed algorithm performed the best.