[Clinical phenotypes and genotypes of congenital fibrinogen disorder: an analysis of 16 children]. / 16ä¾‹å„¿ç«¥å ˆå¤©æ€§çº¤ç»´è›‹ç™½åŽŸç— çš„ä¸´åºŠè¡¨åž‹å’ŒåŸºå› åž‹åˆ†æž.

OBJECTIVES: To investigate the clinical phenotypes and genotypes of children with congenital fibrinogen disorder (CFD). METHODS: A retrospective analysis was conducted on the clinical data of 16 children with CFD. Polymerase chain reaction was used to amplify all exons and flanking sequences of the FGA, FGB, and FGG genes, and sequencing was performed to analyze mutation characteristics. RESULTS: Among the 16 children, there were 9 boys (56%) and 7 girls (44%), with a median age of 4 years at the time of attending the hospital. Among these children, 9 (56%) attended the hospital due to bleeding events, and 7 (44%) were diagnosed based on preoperative examination. The children with bleeding events had a significantly lower fibrinogen activity than those without bleeding events (P<0.05). Genetic testing was conducted on 12 children and revealed a total of 12 mutations, among which there were 4 novel mutations, i.e., c.80T>C and c.1368delC in the FGA gene and c.1007T>A and C.1053C>A in the FGG gene. There were 2 cases of congenital afibrinogenemia caused by null mutations of the FGA gene, with relatively severe bleeding symptoms. There were 7 cases of congenital dysfibrinogenemia mainly caused by heterozygous missense mutations of the FGG and FGA genes, and their clinical phenotypes ranged from asymptomatic phenotype to varying degrees of bleeding. CONCLUSIONS: The clinical phenotypes of children with CFD are heterogeneous, and the severity of bleeding is associated with the level of fibrinogen activity, but there is a weak association between clinical phenotype and genotype.

DNA vaccine ROP29 from Toxoplasma gondii containing R848 enhances protective immunity in mice.

AIMS: Toxoplasma gondii is an intracellular parasite that causes a global epidemic parasitic disease. Studies using DNA vaccines for the control of toxoplasmosis have made considerable progress. ROP proteins were proven to be excellent candidates for T. gondii DNA vaccine development. METHODS AND RESULTS: Here, a ROP29 DNA vaccine was successfully produced and injected into mice in combination with R848 to evaluate its ability to provide protection against T. gondii challenge. Compared with other mice, the mice injected with R848/pROP29 produced higher levels of IgG, IgG2a, interleukin (IL)-12, and interferon gamma (IFN-γ). Moreover, after a challenge of 20 T. gondii cysts, the number of brain cysts was lower in the R848/pROP29-immunized mice than in the other experimental mice. CONCLUSIONS: R848 could improve the productions of IL-12 and IFN-γ, thus enhancing the immune responses stimulated by the pROP29 DNA vaccine.

Immunogenicity of oral vaccination with Lactococcus lactis derived vaccine candidate antigen (UreB) of Helicobacter pylori fused with the human interleukin 2 as adjuvant.

Helicobacter pylori (H. pylori) infection remains a significant global public health problem. Vaccine, especially edible vaccine, is considered to be effective in the management of H. pylori infections. By using recombinant technology, Lactococcus lactis (L. lactis) could serve as an antigen-delivering vehicle for the development of edible vaccine. The aim of this study was to produce edible UreB (urease B) vaccine derived from L. lactis against H. pylori. The UreB subunit is the most effective and common immunogen of all strains of H. pylori. The UreB was produced as a chimeric protein fused with IL-2 (human interleukin 2) as the mucosal adjuvant. Mucosal immunization of mice with recombinant L. lactis NZ9000 containing the UreB-IL-2 protein elicited more anti-UreB antibody that specifically bounded to the purified bacterial UreB protein and more cytokines such as IFN-γ, IL-4, and IL-17, and had a lower H. pylori burden and urease activity than control mice. These results suggest that the recombinant L. lactis expressing UreB-IL-2 can be potentially used as an edible vaccine for controlling H. pylori infection.

Spatial and temporal trends and drivers of fractional vegetation cover in Heilongjiang Province, China during 1990-2020.

Fractional vegetation cover (FVC) is a quantitative indicator for vegetation growth conditions and ecosystem change. Clarifying the spatial and temporal trends and driving factors of FVC is an important research content of global and regional ecological environment. Based on Google Earth Engine (GEE) cloud computing platform, we estimated FVC in Heilongjiang Province from 1990 to 2020 using the pixel dichotomous model. We analyzed the temporal and spatial trends and drivers of FVC using Mann-Kendall mutation test, Sen's slope analysis with Mann-Kendall significance test, correlation analysis, and structural equation model. The results showed that the estimated FVC based on the pixel dichotomous model had high accuracy (R2>0.7, root mean square error <0.1, relative root mean square error <14%). From 1990 to 2020, the annual average FVC in Heilongjiang was 0.79, with a fluctuating upward trend (0.72-0.85) and an average annual growth rate of 0.4%. The annual average FVC at the municipal administrative districts level also showed different levels of increase of FVC. The area with extremely high FVC dominated the Heilongjiang Province with a gradual increase proportion. The area with increasing trend of FVC accounted for 67.4% of the total area, whereas the area with decreasing trend only accounted for 26.2%, and the rest remained unchanged. The correlation of human activity factor on annual average FVC was higher than that of growing season monthly average meteorological factor. The human activity factor was the main driver for FVC change in Heilongjiang Province, followed by land use type. The total effect of monthly average meteorological factor during the growing season on FVC change was negative. The results would serve as technical support for long-term FVC monitoring and driving force analysis in Heilongjiang Province, and provide a reference for ecological environment restoration and protection, as well as the formulation of related land use policy.

Research progress on the molecular mechanism of electroacupuncture at "Zusanli" (ST36) for regulating gastrointestinal dysfunction. / 电针"足三里"è°ƒèŠ‚èƒƒè‚ åŠŸèƒ½å¼‚å¸¸çš„åˆ†å­æœºåˆ¶ç ”ç©¶è¿›å±•.

Gastrointestinal dysfunction is manifested as digestive symptoms. Clinically, Zusanli (ST36) is crucial in the acupoint prescriptions of acupuncture no matter which type of the disease is differentiated in traditional Chinese medicine, but the underlying mechanism remains to be explored. Aiming to summarize the current status of the researches in terms of ameliorating gastrointestinal mucosal damage and regulating gastrointestinal motility disorders, we systematically reviewed the basic researches on the intervention with electroacupuncture (EA) at "ST36" in treatment of the diseases related to gastrointestinal dysfunction in the past 5 years, after searching the articles from Chinese and English databases. The results suggest that EA at ST36 may regulate the local gastrointestinal inflammation, oxidative stress and immune microenvironment to relieve gastrointestinal mucosal damage and adjust gastrointestinal motility disorders by means of modulating the central and peripheral nerve signaling as well as the function of mast cells and Cajal interstitial cells.

Toxoplasma gondii causes changes in the host's expression of cancer-associated miRNAs.

Throughout the world, numerous individuals are infected with Toxoplasma gondii, which may improve immunity against cancer. Furthermore, microRNAs (miRs) may be differentially expressed in the host upon infection with T. gondii. In the present study, RNA-sequencing analysis and reverse transcription-quantitative PCR revealed that miR-429-3p, miR-145a-5p, miR-211-5p, miR-31-3p and miR-135a-5p were determined to be downregulated, while miR-21a-3p, miR-135b-5p, miR-210-5p and miR-146-3p were upregulated in mice post-infection with T. gondii. Antitumor genes [TNF receptor superfamily member 11b, large tumor suppressor kinase (Lats)2 and Lats1] were identified as targets of miR-429-3p, miR-145a-5p, miR-211-5p, miR-31-3p and miR-135a-5p with a luciferase reporter assay. In addition, the protein levels of Lats2 and Lats1 were detected to be higher in T. gondii-infected mice than in the control group. Therefore, these results provide favorable evidence for the suppression of cancer upon T. gondii infection and may give novel ideas for the treatment of tumors.

Transcriptome Sequencing Investigated the Tumor-Related Factors Changes After T. gondii Infection.

Toxoplasma gondii is an intracellular parasite and causes a global epidemic parasitic disease. T. gondii-infection could inhibit the growth of tumor. In this study, the transcriptomes of samples were detected by deep sequencing analysis. The transcriptome data was compared with reference genome to perform sequence alignment and the further analysis. The analyses of differential expression and the differentially expressed genes were performed in the present study. Genes involved in P53 signaling pathway, COLORECTAL cancer pathway, NON-SMALL CELL LUNG cancer signaling pathway, and BREAST cancer signaling pathway were up-regulated or down-regulated among the samples. The KEGG analysis indicated that the cancer pathways changed after infection of T. gondii. Furthermore, tumor-related mRNAs from different samples had a large difference, which suggested that the difference might provide important information in resisting cancer. The protein results indicated that tumor-related protein changes occurred after infection of T. gondii. In conclusion, the infection changed the cancer pathways, which could possibly inhibit the growth of tumor.

[Estimation and spatial-temporal pattern of forest aboveground biomass and NPP in Heihe Region, Heilongjiang Province, China]. / 黑龙江省黑河地区森林地上生物量和NPPä¼°æµ‹åŠæ—¶ç©ºæ ¼å±€.

Based on 1390 fixed plots data collected in 2005 and 2010 in Heihe Region of Heilongjiang Province, biomass allometric models of tree species in northeastern China were applied to calculate aboveground biomass (AGB) and net primary productivity (NPP). Based on ETM+ ima-geries in 2005 and 2010, Kriging and co-Kriging methods in geostatistics were applied to interpolate AGB and NPP and different variogram models were compared. The distribution maps of AGB and NPP were produced using the best interpolation method. The change of AGB and NPP over time and space and the impacts of stand types and terrain factors (aspect, slope and altitude) on the distributions of AGB and NPP were analyzed by comparing the distribution maps in different years. The results indicated that AGB had an increasing trend and areas with AGB higher than 40 t·hm-2 also increased. However, NPP decreased from 2005 to 2010. Some high NPP regions were changed into low NPP regions. AGB and NPP were correlated with forest terrain factors, especially altitude, which indicated that the distribution of biomass and NPP were highly influenced by altitude. During the study period, AGB increased at all slope aspects while NPP decreased, AGB and NPP had an increasing trend with raised slope degree andaltitude, the AGB and NPP of evergreen coniferous forest increased most, and the AGB of mixed deciduous-coniferous forest and NPP of broad-leaved deciduous forest had the least increase.

[Spatial distribution of soil total nitrogen in Liangshui National Nature Reserve based on local model].

Based on LiDAR data of Liangshui National Nature Reserve, digital elevation model (DEM) was constructed and both primary terrain attributes (slope, aspect, profile curvature, etc.) and secondary terrain attributes (wetness index, sediment transport index, relative stream power index, etc.) were extracted. According to the theory of soil formation, geographically weighted regression (GWR) was applied to predict soil total nitrogen (TN) of the area, and the predicted results were compared with those of three traditional interpolation methods including inverse distance weighting (IDW), ordinary Kriging (OK) and universal Kriging (UK). Results showed that the prediction accuracy of GWR (77.4%) was higher than that of other three interpolation methods and the accuracy of IDW (69.4%) was higher than that of OK (63.5%) and UK (60.6%). The average of TN predicted by GWR reached 4.82 g . kg-1 in the study area and TN tended to be higher in the region with higher elevation, bigger wetness index and stronger relative stream power index than in other areas. Further, TN also varied partly with various aspects and slopes. Thus, local model using terrain attributes as independent variables was effective in predicting soil attribute distribution.