Objective:To analyze the effect of PAK4 interruption by microRNA-199a/b-3p (miR-199a/b-3p) on migration and invasion of hepatocellular carcinoma (HCC).Methods: To test targeting of PAK4 by miR-199a/b-3p,we used luciferase assay in HEK293T cells cotransfected miR-199a/b-3p mimcs and pmirGLO-PAK4 3′UTR.The expression of PAK4 in SMMC-7721 transfected with miR-199a/b-3p was detected by Western blot.The biology behaviors of SMMC-7721 cells transfected with miR-199a/b-3p or PAK4 Si were analysed by cell migration assay and invasion assay.Results:MiR-199a/b-3p could suppress the mRNA and protein ex-pression of PAK4 by targeting PAK4 3′UTR,and the downregulating PAK 4 expression suppress the migration and invasion of SMMC-7721 cells.Conclusion: MiR-199a/b-3p could suppress the expression of PAK 4, which are considered key HCC suppressors and inhibit the migration and invasion of HCC cells.

Objective:To analyze the inhibiting mechanism of microRNA-199a/b-3p ( miR-199a/b-3p) on cell motility of breast cancer cells.Methods:The expression of PAK4 in MDA-MB-231 cells transfected with miR-199a/b-3p was detected by Western blot.The biology behaviors of MDA-MB-231 cells transfected with miR-199a/b-3p or PAK4 SiRNA were analysed by cell migration assay,invasion assay and protrusion dynamics.Results: MiR-199a/b-3p could suppress the expression of PAK 4 in MDA-MB-231 cells.Comparing with normal control ,miR-199a/b-3p or PAK4 SiRNA could suppress the migration ,invasion and membrane protrusion of MDA-MB-231 cells.Conclusion:miR-199a/b-3p could suppress the expression of PAK4,which are considered key breast cancer suppressors and inhibit the cell motility of breast cancer cells.

Objective:To determine the expression of circular RNA-SEC31A(circSEC31A) in pancreatic cancer and investigate the effects on the invasion and migration of pancreatic cancer cells and the underlying molecular mechanism.Methods:Differentially expressed circRNAs between pancreatic cancer cells (BXPC-3, PANC1, CaPan-2, SW1990) and human normal pancreatic cells (HPDE) were identified by qRT-PCR. Then, two cell lines with high circSEC31A expression were selected to conduct next experiments. According to the sequence of the back-splicing site in circSEC31A, siRNAs for downregulation of circSEC31A were designed and transfected by liposome to silence circSEC31A in pancreatic cancer cells, and grouped as followed siR-circSEC31A#1 and siR-circSEC31A#2. Meanwhile, siR-NC group transfected with non-specific siRNA served as control. Transwell assays and wound healing assays were operated to evaluate the functional role of circSEC31A on the invasion and migration of pancreatic cancer cells. RNA Pull-down assay with circSEC31A probe and oligo control probe was used to screen the miRNA combining with circSEC31A and the effects of miRNA on cell invasion and migration of pancreatic cancer cells were validated. The effect of miR-200c-3p and circSEC31A silencing on the expression of PDK1 mRNA was identified by qRT-PCR. The protein expression of PDK1, downstream Akt and p-Akt after circSEC31A silencing was verified by Western blotting assays.Results:The relative expression level of circSEC31A in HPDE (1.000±0.120) was obviously lower than that in BXPC-3 (1.920±0.130), SW1990 (2.93±0.528), PANC1 (4.557±0.692) and CaPan-2 (5.247±0.194), and all the differences were statistically significant ( P<0.001). Compared with the PANC1 siR-NC group (1301.3±94.6) and CaPan-2 siR-NC group (1835.0±70.1) per 100 high power field, transwell assays showed that the numbers of invasive pancreatic cancer cells was highly decreased in PANC1 siR-circSEC31A#1 group (727.3±92.9), siR-circSEC31A#2 group (792.0±18.1), CaPan-2 siR-circSEC31A#1 group (718.0±90.6), siR-circSEC31A#2 group (692.7±84.8). Wound healing assays showed that silencing circSEC31A decreased the wound healing rate of pancreatic cancer cells in PANC1 siR-circSEC31A#1 group (20.667±3.215)%, siR-circSEC31A#2 group (20.000±4.583)%, CaPan-2 siR-circSEC31A#1 group (28.000±8.185)%, siR-circSEC31A#2 group (29.667±5.686)%, compared with the PANC1 siR-NC group (55.000±4.359)% and CaPan-2 siR-NC group (69.000±3.606)%. RNA Pull-down assays showed that compared with PANC1 oligo probe group (1.000±0.091) and CaPan-2 oligo probe group (1.000±0.153), miR-200c-3p was significantly enriched in the PANC1 circSEC31A probe group (2.237±0.175) and CaPan-2 circSEC31A probe group (2.166±0.156). Compared with PANC1 siR-NC group (939.3±57.0) and CaPan-2 siR-NC group (786.7±51.5) per 100 high power field, the numbers of invasive pancreatic cancer cells were up-regulated in PANC1 siR-miR-200c-3p group (1206.0±99.1) and CaPan-2 siR-miR-200c-3p group (1838.0±105.7), while the low numbers of invasive pancreatic cancer cells were observed in PANC1 siR-miR-200c-3p+ siR-circSEC31A group (932.7±116.4) and CaPan-2 siR-miR-200c-3p+ siR-circSEC31A group (785.3±58.8). Compared with PANC1 siR-NC group (1.000±0.103) and CaPan-2 siR-NC group (1.000±0.107), the relative expression of PDK1 mRNA in PANC1 siR-miR-200c-3p group (1.898±0.159) and CaPan-2 siR-miR-200c-3p group (2.102±0.337) was upregulated. Furthermore, the expression of PDK1 mRNA was decreased in the siR-miR-200c-3p+ siR-circSEC31A group (0.980±0.070, 1.015±0.079). Western blot assays showed that the expression of PDK1 protein in PANC1 siR-NC group, siR-circSEC31A#1 group, siR-circSEC31A#2 group was 0.767±0.086, 0.281±0.191, 0.333±0.062 and in CaPan-2 siR-NC group, siR-circSEC31A#1 group, siR-circSEC31A#2 group was 0.712±0.038, 0.353±0.061, 0.308±0.018. The expression of p-Akt protein in PANC1 siR-NC group and siR-circSEC31A group was 0.741±0.050, 0.114±0.027, 0.139±0.041. In addition, p-Akt protein expression in CaPan-2 siR-NC group and siR-circSEC31A group was 0.823±0.052, 0.141±0.045, 0.280±0.089. PDK1 and p Akt expression in siR circSEC31A group was obviously lower than those in sir NC group. All the differences between either groups above were statistically significant ( P<0.05). Conclusions:circSEC31A is upregulated in pancreatic cancer cells, which facilitates the invasion and metastasis of pancreatic cancer cells via miR-200c-3p/PDK1/Akt signaling pathway, supporting that circSEC31A may function as a new diagnostic and therapeutic target for pancreatic cancer patients.

Objective:To investigate the effects of 30% ethanol elution fraction of Artemisia absinthium extract with macroporous resin (AAEM-30%) on the dendritic cell (DC) and immunity of mice. Methods:AAEM-30% was obtained from the alcoholic extracts of A. absinthium by AB-8 macroporous resin, and its polysaccharide, flavonoid, and terpenoid contents were determined. The expressions of AAEM-30% on DC surface molecular cluster of differentiation (CD) 40, CD80 and CD86 were detected in vitro by flow cytometry, and the expressions of DC cytokines IL-6 and tumor necrosis factor-α (TNF-α) were detected by enzyme linked immunosorbent assay (ELISA). The effect of AAEM-30% on the immune function of ICR mice was measured in vivo with different doses (50 and 100 mg/kg) and different administration methods (subcutaneous injection, intraperitoneal injection, and gavage). Results:The contents of polysaccharides, flavonoids, and terpenoids in AAEM-30% were 24.30%, 22.50% and 28.19%, respectively. AAEM-30% significantly enhanced the expression of CD40, and CD86 and the secretion of IL-6 and TNF-α (all P<0.001). Compared with the control group, no statistically significant differences were found in the body mass of mice compared with the three administration methods (all P>0.05). The thymus index in the 50 and 100 mg/kg AAEM-30% intraperitoneal injection groups and the spleen index in the 50 mg/kg AAEM-30% gavage group were increased (all P<0.05). CD19 + cells increased in the 100 mg/kg AAEM-30% intraperitoneal injection group ( P<0.01) and in the 50 mg/kg AAEM-30% gavage group ( P<0.05). The CD11b + and CD11c + counts increased in the 100 mg/kg AAEM-30% gavage group ( P<0.05). The number of CD4 + and CD8 + T lymphocytes was increased by both gavage and intraperitoneal administration (all P<0.05). Conclusions:AAEM-30% can promote the maturation of DC and enhanced the immunity of mice without obvious side effects.

The present study aims to explore the genetic diversity of germplasm resources of Chrysanthemum×morifolium (hereinafter, C.×morifolium) at the molecular level and to establish a fingerprint database of C.×morifolium varieties. We employed 12 pairs of primers with high levels of polymorphism, clear bands, and high degrees of reproducibility to analyze the SSR molecular markers and genetic diversity of 91 C.×morifolium materials and 14 chrysanthemum- related materials. With regard to constructing the fingerprints of the tested materials, we chose 9 pairs of core primers. The findings revealed that 12 primer pairs detected 104 alleles in 105 samples, ranging from 2 to 26. The average number of observed alleles (N_a) per site was 9.25. The average number of effective alleles (N_e) per site was 2.745 6, with its range being 1.276 0 to 4.742 5. Shannon genetic diversity index (I) values ranged between 0.513 3 and 2.239 9 (M=1.209 0). Nei's gene diversity index (H) ranged between 0.216 3 and 0.789 1 (M=0.578 0). The observed heterozygosity (H_o) ranged between 0.223 3 and 0.895 2 (M=0.557 5). The expected heterozygosity (H_e) ranged between 0.217 4 and 0.793 3 (M=0.580 8). The polymorphism information content (PIC) ranged between 0.211 5 and 0.774 0 (M=0.532 9). The genetic similarity (GS) ranged between 0.228 5 and 1.000 0 (M=0.608 3). Cluster analysis revealed that when the genetic distance (GD) equals to 0.30, the tested materials can be classified into 2 groups. When the GD equals to 0.27, the first group can be divided into 6 subgroups; accordingly, 105 tested materials can be divided into 7 subgroups. The cophenetic correlation test was carried out based on the cluster analysis, and the corresponding results showed that the cluster map correlated with the genetic similarity coefficient (r=0.952 73). According to the results of Structure population analysis, we obtained the optimal population number, with the true number of populations (K) being 3 and the population being divided concerning Q≥0.5. Three subgroups, i.e., Q1, Q2 and Q3, included 34, 33 and 28 germplasms, respectively, and the remaining 10 germplasms were identified as the mixed population. During the experiment, 9 pairs of core primers were screened among the total of 12 for a complete differentiation regarding 105 tested materials, and the fingerprints of 91 C.×morifolium materials and 14 chrysanthemum-related materials were further constructed. Overall, there were significant genetic differences and rich genetic diversity among C.×morifolium materials, which would shed light on the garden application and variety selection fields of C.×morifolium. The fingerprint database of 105 C.×morifolium varieties and chrysanthemum-related species may provide technical support for future research regarding the identification and screening system of C.×morifolium varieties.
Genetic Variation ; Chrysanthemum/genetics* ; Reproducibility of Results ; Microsatellite Repeats/genetics* ; Polymorphism, Genetic ; Biomarkers ; Phylogeny

The elucidation of resources pertaining to the Chimonanthus praecox varieties and the establishment of a fingerprint serve as crucial underpinnings for advancing scientific inquiry and industrial progress in relation to C. praecox. Employing the SSR molecular marker technology, an exploration of the genetic diversity of 175 C. praecox varieties (lines) in the Yanling region was conducted, and an analysis of the genetic diversity among these varieties was carried out using the UPDM clustering method in NTSYSpc 2.1 software. We analyzed the genetic structure of 175 germplasm using Structure v2.3.3 software based on a Bayesian model. General linear model (GLM) association was utilized to analyze traits and markers. The genetic diversity analysis revealed a mean number of alleles (Na) of 6.857, a mean expected heterozygosity (He) of 0.496 3, a mean observed heterozygosity (Ho) of 0.503 7, a mean genetic diversity index of Nei՚s of 0.494 9, and a mean Shannon information index of 0.995 8. These results suggest that the C. praecox population in Yanling exhibits a rich genetic diversity. Additionally, the population structure and the UPDM clustering were examined. In the GLM model, a total of fifteen marker loci exhibited significant (P < 0.05) association with eight phenotypic traits, with the explained phenotypic variation ranging from 14.90% to 36.03%. The construction of fingerprints for C. praecox varieties (lines) was accomplished by utilizing eleven primer pairs with the highest polymorphic information content, resulting in the analysis of 175 SSR markers. The present study offers a thorough examination of the genetic diversity and SSR molecular markers of C. praecox in Yanling, and establishes a fundamental germplasm repository of C. praecox, thereby furnishing theoretical underpinnings for the selection and cultivation of novel and superior C. praecox varieties, varietal identification, and resource preservation and exploitation.
Bayes Theorem ; Biomarkers ; Phenotype ; Cluster Analysis ; Genetic Variation

OBJECTIVE: To investigate the effect of Akt2 inhibitor on macrophage polarization in the periapical tissue in a rat model of periapical inflammation. METHODS: Rat models of periapical inflammation were established in 28 normal SD rats by opening the pulp cavity of the mandibular first molars, followed by injection of normal saline and Akt2 inhibitor into the left and right medullary cavities, respectively. Four rats without any treatment served as the healthy control group. At 7, 14, 21 and 28 days after modeling, 7 rat models and 1 control rat were randomly selected for observation of inflammatory infiltration in the periapical tissues by X-ray and HE staining. Immunohistochemistry was used to detect the expression and localization of Akt2, macrophages and the inflammatory mediators. RT-PCR was performed to detect the mRNA expressions of Akt2, CD86, CD163, inflammatory mediators, miR-155-5p and C/EBPβ to analyze the changes in macrophage polarization. RESULTS: X-ray and HE staining showed that periapical inflammation was the most obvious at 21 days after modeling in the rats. Immunohistochemistry and RT-PCR showed that compared with those in the control rats, the expressions of Akt2, CD86, CD163, miR-155-5p, C/EBPβ, and IL-10 increased significantly in the rat models at 21 days (P < 0.05). Compared with saline treatment, treatment with the Akt2 inhibitor significantly decreased the expression levels of Akt2, CD86, miR-155-5p and IL-6 and the ratio of CD86⁺M1/CD163⁺M2 macrophages (P < 0.05) and increased the expression levels of CD163, C/EBPβ and IL-10 in the rat models (P < 0.05). CONCLUSION Inhibition of Akt2 can delay the progression of periapical inflammation in rats and promote M2 macrophage polarization in the periapical inflammatory microenvironment possibly by reducing miR-155-5p expression and activating the expression of C/EBPβ in the Akt signaling pathway.
Rats ; Animals ; Proto-Oncogene Proteins c-akt/metabolism* ; MicroRNAs/genetics* ; Interleukin-10 ; Rats, Sprague-Dawley ; Macrophages/metabolism* ; Inflammation/metabolism*