Use of family disability service by families with young children with disabilities.

AIM: To investigate which families with young children with disabilities used disability services and when they used services to inform policy on service delivery. METHOD: We used linked administrative data from different ministries in Alberta to describe families' use of disability services when their children were between the ages of 3 and 8 years old. Disability was investigated on the basis of the presence of a severe special education code for children, and level of special education code. The outcome was the use of family disability services. RESULTS: Of 31 346 children, 24 761 (79.0%) had no special education code, 3982 (12.7%) had a mild special education code, and 2603 (8.3%) had a severe special education code. Level of special education code was associated with child characteristics and service use. Children with severe special education codes generally were more likely to report service use and have poor outcomes than those with less severe codes. Of note, 26% of children with severe special education codes used family disability services. In addition, among children with severe special education codes, many years of severe coding (compared with fewer years) had the strongest association with family disability service use (prevalence ratio 5.50; 95% confidence interval 4.10-7.37). Associations with family disability service use were seen with mental health, health care, and educational achievement. Interactions between child characteristics and service use were observed. INTERPRETATION: This study provides evidence that families were more likely to use disability services when they were involved with other services, and that use interacts with various factors. The findings highlight the importance of considering service eligibility, referral, and integration.

Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences.

BACKGROUND: Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, increased opportunities for collaboration, amplification of public contributions, and reduced respondent burdens. Sharing BC data involves significant challenges including consent, privacy, access policies, communication, and vulnerability of the child. Research on these issues is available for biological data, but these findings may not extend to BC data. We lack consensus on how best to approach these challenges in consent, privacy, communication and autonomy when sharing BC data. We require more stakeholder engagement to understand perspectives and generate consensus. METHODS: Parents participating in longitudinal birth cohorts completed a web-based survey investigating consent preferences for sharing their, and their child's, non-biological research data. Results from a previous qualitative inquiry informed survey development, and cognitive interviewing methods (n = 9) were used to improve the question quality and comprehension. Recruitment was via personalized email, with email and phone reminders during the 14-day window for survey completion. RESULTS: Three hundred and forty-six of 569 parents completed the survey in September 2014 (60.8%). Participants preferred consent processes for data sharing in future independent research that were less-active (i.e. no consent or opt-out). Parents' consent preferences are associated with their communication preferences. Twenty percent (20.2%) of parents generally agreed that their child should provide consent to continue participating in research at age 12, while 25.6% felt decision-making on sharing non-biological research data should begin at age 18. CONCLUSIONS: These finding reflect the parenting population's preference for less project-specific permission when research data is non-biological and de-identified and when governance practices are highly detailed and rigourous. Parents recognize that children should become involved in consent for secondary data use, but there is variability regarding when and how involvement occurs. These findings emphasize governance processes and participant notification rather than project-specific consent for secondary use of de-identified, non-biological data. Ultimately, parents prefer general consent processes for sharing de-identified, non-biological research data with ultimate involvement of the child.

Fabrication of carbon dots-embedded luminescent transparent wood with ultraviolet blocking and thermal insulating capacities towards smart window application.

To expand functions of transparent wood (TW) including fluorescence, ultraviolet blocking, heat preservation and insulation, we adopted carbon quantum dots (CQDs) to prepare luminescent transparent wood. CQDs with yellow/red fluorescence (YCD/RCD) were prepared by chitosan and o-phenylenediamine. Afterwards, Balsa woods were pretreated to obtain wood frameworks (DW/LW), which were further combined with epoxy resin for achieving transparent woods (DW-TW/LW-TW). Results showed LW retained more lignin, the LW-TW blocked more ultraviolet light, displaying the better visible transmission and mechanical strength than DW-TW. After adding YCD and RCD to LW-TW, the yellow and red fluorescence transparent woods with outstanding mechanical and ultraviolet blocking properties were prepared, especially the red fluorescence transparent wood (RTW). Specifically, the tensile strength and elongation at break of RTW reached up to 19.39 MPa and 5.35 %, respectively. Moreover, RTW could block 78.8 % of UV-B light and 78 % of UV-A light, respectively. Besides, RTW possessed excellent visible transmission (70.3 %) and UV blocking (88.87 %). Significantly, both RTW and YTW displayed outstanding water repellency, excellent durability, good thermal stability and insulation. Predictably, luminescent transparent woods certainly will enhance the adaptability of wood, and broaden its applications in green decoration, lighting setup, sensor and other fields.

Traditional Chinese acupoint massage, acupuncture, and moxibustion for people with diabetic gastroparesis: A systematic review and meta-analysis.

BACKGROUND: Traditional Chinese acupoint therapy has been used for thousands of years on gastrointestinal diseases. In this work, we evaluated the efficiency and safety of traditional Chinese acupoint therapies versus standard therapies, nursing or recovery treatments in the treatment of diabetic gastroparesis.e expect that traditional Chinese medicine acupoint therapy can be noticed by more people, so as to provide more high-quality clinical evidence. METHODS: Randomized controlled trials were included in this meta-analysis. The treatment groups received traditional Chinese acupoint therapy, while the control groups received standard therapies, nursing, or recovery treatments. The relative risk and weighted mean difference with 95% confidence interval for the total effective rate, gastrin level, gastric-emptying time, fasting blood glucose level, 2-hour blood glucose level, and glycosylated hemoglobin level were evaluated using RevMan 5.3 software. Bias assessment was performed using the Cochrane risk-of-bias tool. RESULTS: A total of 59 articles were included in the analysis. In comparison with the control groups, the acupoint therapy groups showed higher total effective rates (P < .00001), enhanced gastric-emptying rates (P < .00001), and reduced glycosylated hemoglobin levels. CONCLUSION: In comparison with Western medicine or conventional care, traditional Chinese acupoint therapies showed a significant advantage in the treatment of diabetic gastroparesis. However, considering the low quality and high risk of the included studies, more high-quality randomized controlled trials are needed to confirm the results.

The transition to adult income supports for youth that received special education in British Columbia, Canada: A cohort study.

Youth in special education have complex needs that are supported across multiple systems. Our research investigates the use of adult income assistance, as one structure that supports youth as they transition to adulthood. We created a cohort of youth (5-22 years old) using linked administrative data from British Columbia government ministries from 1996 to 2018. Youth were grouped by their special education funding (most to least; Level 1, Level 2, Level 3, Unfunded, and no special education). We investigated (1) youth characteristics and service use patterns, (2) which youth used income supports after the child-to-adult transition (19-22 years old), and what youth characteristics and service use patterns were associated with use, and (3) how much income support they used (CAD$). Of 174,527 youth, 254 (0.1%) were Level 1, 6020 (3.4%) were Level 2, 4409 (2.5%) were Level 3, 21,232 (12.2%) were Unfunded, and 142,612 (81.7%) were not in special education. Youth assigned higher funding levels, compared to lower levels, generally had increased service use, and in the transition to adult services were more likely to use income supports, and received more income support. An important exception was youth with serious behavioural/mental health special education funding (Level 3), who had increased service use for their level of funding, but received less income support due to a reliance on Temporary versus Disability Assistance. Youth that received an accredited diploma were less likely to use income supports. Factors related to the use of income supports are further described. This study highlights differences in access to income support when youth transition to adult services and considerations around equitable access to support.

Mesenchymal stem cell-derived exosomes: a promising vector in treatment for diabetes and its microvascular complications.

Mesenchymal stem cell-derived exosomes (MSC-exos) are phospholipid bimolecular vesicles containing various materials, and they mediate crosstalk among cells. MSC-exos can maintain glucose homeostasis and delay the progression of diabetes and its microvascular complications through multiple mechanisms, such as by improving ß-cell viability and insulin resistance as well as through multiple signal transduction pathways. However, related knowledge has not yet been systematically summarized. Therefore, we reviewed the applications and relevant mechanisms of MSC-exos in treatments for diabetes and its microvascular complications, particularly treatments for improving islet ß-cells viability, insulin resistance, diabetic nephropathy, and retinopathy.

Characterizations of heavy metal contamination, microbial community, and resistance genes in a tailing of the largest copper mine in China.

Copper mine tailings are causing great environmental concern nowadays due to their high contents of heavy metals. These hazards may release to air, water, and soil, posing great threat to the living organisms in the surroundings. In the present work, we profiled the heavy metal contents, microbiome and resistome of a mine tailing in Dexing Copper Mine, which is the largest open-pit copper mine in China. A total of 39.75 Gb clean data was generated by metagenomics sequencing and taxonomy analysis revealed Actinobacteria, Proteobacteria, Acidobacteria, Euryarchaeota, and Nitrospirae as the most abundant phylum in this tailing. In general, 76 heavy metal resistance genes (HMRGs) and 194 antimicrobial resistance genes (ARGs) were identified with merA and rpoB2 as the most abundant HMRG and ARG, respectively. We also compared the differences of heavy metal concentrations among the six sampling sites in the same tailing and found that significant differences exited in copper and zinc. Hierarchical cluster analysis showed that the samples from the six sampling sites were clustering in two groups based on heavy metal concentrations. Accordingly, clustering based on microbial composition and relative abundances of resistance genes exhibited the same clustering pattern, indicating a possible shaping influence of heavy metals on the microbiome and resistome in this tailing. Our work presented heavy metal contents, microbial composition and resistance genes in a copper mine tailing of the largest copper mine in China, and these data will of great use in the surveillance, maintenance, and remediation of this tailing.

Cross-ministry data on service use and limitations faced by children in special education.

BACKGROUND: Children with disabilities often face limitations that cross support sectors. OBJECTIVE: Our aim was to measure cross-ministry service use, outcomes, and functional limitations faced by children who qualified for special education. METHODS: We used longitudinal British Columbia ministry data linked to children (0-18y) registered in K-12 education. Children were grouped by special education funding (most to least; Level 1, Level 2, Level 3, Unfunded, and no special education), and related to 1) service use patterns, 2) the age they first used disability services, and 3) functional limitations reported in health visits. We also reported how length of special education use related to disability service use. RESULTS: Of 111,274 children, 154(0.1%) were Level 1, 4427(4.0%) Level 2, 2897(2.6%) Level 3, 13472(12.1%) Unfunded, and 90324(81.2%) not in special education. Children with higher funding levels, compared to lower levels of funding, generally were more likely to experience poorer outcomes, have functional limitations, have service needs, and receive early support. One exception was children with serious behavioral/mental health special education coding, which had poorer outcomes for their level of funding. Children received child disability supports early (about half of users started by 4y), but use was mostly limited to those with many years (9+years) of funded special education (70.7% of the all users) and biased to certain special education codes (i.e., Level 1, severe intellectual disability, and autism). CONCLUSIONS: This study provides evidence of the long-term, diverse needs of children in special education and may be used to inform decisions surrounding their support.

Co-Existence of mcr-1 and bla NDM-5 in an Escherichia coli Strain Isolated from the Pharmaceutical Industry, WWTP.

ABSTRACT: The emergence of the plasmid-borne colistin-resistant gene (mcr-1) poses a great threat to human health. What is worse, the recent observations of the co-existence of mcr-1 with other antimicrobial resistance genes in some bacteria cause further concern. Here, we present the first report of a wild Escherichia coli strain that co-carries an mcr-1 encoding phage-like IncY plasmid (pR15_MCR-1) and a bla NDM-5 encoding IncX3 plasmid (pR15_NDM-5) from a pharmaceutical industry, wastewater treatment plant, in China. This study highlights the spreading of E. coli carrying both mcr-1 and bla NDM-5 genes in the pharmaceutical industry. IMPORTANCE: Escherichia coli strains that carry both mcr-1 and bla NDM-5 genes are of great health concern and are already found in humans and animals worldwide, yet there is a paucity of observations of this resistant strain in the environment. Here we present the first isolation of an E. coli strain (R15) that co-carries mcr-1 and bla NDM-5 genes from a wastewater treatment plant in China. Whole-genome sequencing indicated that R15 harbored two plasmids, pR15_MCR-1 and pR15_NDM-5, that carry mcr-1 and bla NDM-5, respectively. The observation of this wild-derived E. coli strain that carries mcr-1 and bla NDM-5 genes simultaneously calls for the urgency to improve monitoring and reducing its further spreading.

The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data.

INTRODUCTION: Innovative data platforms (e.g. biobanks, repositories) continually emerge to facilitate data sharing. Extant and emerging data platforms must navigate myriad tensions for successful data sharing and re-use. Two Alberta data platforms navigated such processes and factors regarding administrative, research and nonprofit data: the Child & Youth Data Laboratory (CYDL) and Secondary Analysis to Generate Evidence (SAGE). OBJECTIVES: To clarify the social and policy factors that influenced CYDL and SAGE establishment and implementation, and the relationships, if any, between these factors and data type. METHODS: This paper involves a qualitative secondary analysis of two developmental evaluations on CYDL and SAGE establishment. Six-years post-implementation, the CYDL evaluation entailed document review; website user analysis; interviews (n=30); online stakeholder survey (n=260); and an environmental scan. One-year post implementation, the SAGE evaluation included 15 interviews and document review. We used thematic analysis and comparisons with the literature to identify key factors. RESULTS: Three (not mutually exclusive) categories of social and policy factors influenced the navigation towards CYDL and SAGE realization: trusting relationships; sustainability amidst readiness; and privacy within social context. For these platforms to be able to manage, link or share data, trust had to be fostered and maintained across multiple, dynamic and intersecting relationships between primary data producers, data subjects, secondary users and institutions. Platform sustainability required capacity building and innovation. Privacy and information sharing evolved culturally and correspondingly for these data platforms, which required constant flexibility and awareness. CONCLUSIONS: This analysis calls for more empirical research on the value of data re-use or the detriment in not re-using data. While the culture of information sharing is progressing towards greater openness and capacity for data sharing and re-use, successful data platforms must advocate, facilitate and mobilize analysis and innovation using data re-use while being cognizant of social and policy influences.

Genetic characterization of a novel sequence type of multidrug-resistant Citrobacter freundii strain recovered from wastewater treatment plant.

A multidrug-resistant Citrobacter freundii strain R17 was isolated from a wastewater treatment plant in China. Whole-genome sequencing of strain R17 revealed a new sequence type (ST412) chromosome (length 5,124,258 bp) and an Inc FII (Yp) group plasmid pCFR17_1 (length 206,820 bp). A total of 13 antibiotic-resistance genes (ARGs) that confer resistance to eight different antibiotic groups were encoded by strain R17 and 12 of them were carried by plasmid pCFR17_1. These data and analysis suggest that the environment-derived C. freundii strains may serve as potential sources of ARGs and highlight the need of further surveillance of this bacteria in the future.

Whole Genome Sequencing of Extended-Spectrum Beta-Lactamase (ESBL)-Producing Escherichia coli Isolated From a Wastewater Treatment Plant in China.

BACKGROUND AND OBJECTIVES: Wastewater treatment plants (WWTPs) are one of the major reservoirs for antimicrobial resistant bacteria (ARB) and antimicrobial resistance genes (ARGs) in the environment. Thus, the investigation on ARB and ARGs from WWTPs has attracted increasing attention in recent years. In order to uncover the resistome in a WWTP treating effluents from a pharmaceutical industry in China, the extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli strains were isolated and their whole genome sequences were obtained and analyzed. Moreover, metagenomic sequencing was applied to give a comprehensive view of antibiotic resistance in this WWTP. METHODS: 18 ESBL-producing E. coli strains were isolated from a WWTP located in Taizhou, China on April, 2017. All strains were sequenced using Illumina HiSeq 2000 sequencer. The whole genome sequences were assembled using SPAdes software and annotated with RAST server. Sequence types (STs), plasmids, ARGs and virulence genes were predicted from the genomes using MLST, Plasmid Finder, ResFinder and Virulence Finder, respectively. Metagenomic DNA of the same sample was extracted and sequenced using Illumina Hiseq X Ten platform. Metagenomic sequences were assembled using SOAPdenovo software. RESULTS: All 18 ESBL-producing E. coli strains were resistant to ampicillin, cefazolin, and ceftriaxone. Analysis of their genomes revealed that all strains carried beta-lactamase encoding genes and the most prevalent type was bla CTX-M . Various virulence genes and ARGs confronting resistance to other types of antimicrobial agents were also predicted. Further investigation on the metagenomics data indicated 11 ARGs with high amino acid identities to the known ARGs. Five of these ARGs, aadA1, aac(6')-lb-cr, flo(R), sul2 and sul1, were also present in the genomes of the ESBL-producing E. coli isolated from the same sample. CONCLUSION: Our study revealed the resistome of a pharmaceutical WWTP by both culture-dependent and metegenomic methods. The existence of ESBL-producing E. coli strains, indicating that pharmaceutical WWTP can play a significant role in the emergence of ARB. The occurrence of ARGs annotated from the metagenomic data suggests that pharmaceutical WWTP can play a significant role in the emergence of ARGs. Our findings highlight the need for strengthening the active surveillance of ARB and ARGs from pharmaceutical industry.

A performance degradation evaluation method for a turbocharger in a diesel engine.

As one of the key systems of the marine power plant diesel engine, the turbocharger directly affects whether the diesel engine can continuously and stably provide the power required for the ship. Owing to a number of uncontrollable factors, such as harsh working conditions and complex structures, the turbocharger may have various failures, causing it to lose its intended function. At present, the fault diagnosis of the marine turbocharger has not been paid enough attention yet and in most cases, the method of 'ex post diagnosis' is still adopted. When analysing the nonlinear correspondence between the failure symptoms and failure causes, it is difficult for the existing theories to meet the actual diagnostic requirements. This paper introduces the concept of gas-path diagnosis into the condition monitoring for a marine turbocharger for the first time and proposes the flow capacity index which characterizes the flow capacity of the component and the isentropic efficiency index which characterizes the operating efficiency of the component as two dimensionless evaluation indicators for turbocharger health status. Moreover, the nonlinear mapping relationship between these two health parameters and the gas-path measurable parameters of the turbocharger is studied, and a novel performance degradation evaluation method for a turbocharger is established. The proposed method has been tested in three test cases where the degradation of a model turbocharger has been analysed. These case studies have illustrated that the proposed method can accurately isolate the degraded components and further quantify the degradation of the components.

Improving rolling bearing online fault diagnostic performance based on multi-dimensional characteristics.

As the main cause of failure and damage to rotating machinery, rolling bearing failure can result in huge economic losses. As the rolling bearing vibration signal is nonlinear and has non-stationary characteristics, the health status information distributed in the rolling bearing vibration signal is complex. Using common time-domain or frequency-domain approaches cannot easily enable an accurate assessment of rolling bearing health. In this paper, a novel rolling bearing fault diagnostic method based on multi-dimensional characteristics was developed to meet the requirements for accurate diagnosis of different fault types and severities with real-time computational performance. First, a multi-dimensional feature extraction algorithm based on entropy characteristics, Holder coefficient characteristics and improved generalized fractal box-counting dimension characteristics was performed to extract the health status feature vectors from the bearing vibration signals. Second, a grey relation algorithm was employed to achieve bearing fault pattern recognition intelligently using the extracted multi-dimensional feature vector. This experimental study has illustrated that the proposed method can effectively recognize different fault types and severities after integration of the improved fractal box-counting dimension into the multi-dimensional characteristics, in comparison with existing pattern recognition methods.

Biochemical and genetic characterization of a novel metallo-ß-lactamase from marine bacterium Erythrobacter litoralis HTCC 2594.

Metallo-ß-lactamases (MBLs) are a group of enzymes that can inactivate most commonly used ß-lactam-based antibiotics. Among MBLs, New Delhi metallo-ß-lactamase-1 (NDM-1) constitutes an urgent threat to public health as evidenced by its success in rapidly disseminating worldwide since its first discovery. Here we report the biochemical and genetic characteristics of a novel MBL, ElBla2, from the marine bacterium Erythrobacter litoralis HTCC 2594. This enzyme has a higher amino acid sequence similarity to NDM-1 (56%) than any previously reported MBL. Enzymatic assays and secondary structure alignment also confirmed the high similarity between these two enzymes. Whole genome comparison of four Erythrobacter species showed that genes located upstream and downstream of elbla2 were highly conserved, which may indicate that elbla2 was lost during evolution. Furthermore, we predicted two prophages, 13 genomic islands and 25 open reading frames related to insertion sequences in the genome of E. litoralis HTCC 2594. However, unlike NDM-1, the chromosome encoded ElBla2 did not locate in or near these mobile genetic elements, indicating that it cannot transfer between strains. Finally, following our phylogenetic analysis, we suggest a reclassification of E. litoralis HTCC 2594 as a novel species: Erythrobacter sp. HTCC 2594.

A Position Statement on Population Data Science: The Science of Data about People.

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise challenges of balancing individual privacy and the public good, building appropriate socio-technical systems to support data-intensive science, and determining whether defining a new field of inquiry might help move those collective interests and activities forward. A combination of expert engagement, literature review, and iterative conversations led to our conclusion that defining the field of Population Data Science (challenge 3) will help address the other two challenges as well. We define Population Data Science succinctly as the science of data about people and note that it is related to but distinct from the fields of data science and informatics. A broader definition names four characteristics of: data use for positive impact on citizens and society; bringing together and analyzing data from multiple sources; finding population-level insights; and developing safe, privacy-sensitive and ethical infrastructure to support research. One implication of these characteristics is that few people possess all of the requisite knowledge and skills of Population Data Science, so this is by nature a multi-disciplinary field. Other implications include the need to advance various aspects of science, such as data linkage technology, various forms of analytics, and methods of public engagement. These implications are the beginnings of a research agenda for Population Data Science, which if approached as a collective field, can catalyze significant advances in our understanding of trends in society, health, and human behavior.

Parental perspectives on consent for participation in large-scale, non-biological data repositories.

BACKGROUND: Data sharing presents several challenges to the informed consent process. Unique challenges emerge when sharing pediatric or pregnancy-related data. Here, parent preferences for sharing non-biological data are examined. METHODS: Groups (n = 4 groups, 18 participants) and individual interviews (n = 19 participants) were conducted with participants from two provincial, longitudinal pregnancy cohorts (AOB and APrON). Qualitative content analysis was applied to transcripts of semi-structured interviews. RESULTS: Participants were supportive of a broad, one-time consent model or a tiered consent model. These preferences were grounded in the perceived obligations for reciprocity and accuracy. Parents want reciprocity among participants, repositories and researchers regarding respect and trust. Furthermore, parents' worry about the interrelationships between the validity of the consent processes and secondary data use. CONCLUSIONS: Though parent participants agree that their research data should be made available for secondary use, they believe their consent is still required. Given their understanding that obtaining and informed consent can be challenging in the case of secondary use, parents agreed that a broad, one-time consent model was acceptable, reducing the logistical burden while maintaining respect for their contribution. This broad model also maintained participant trust in the research and secondary use of their data. The broad, one-time model also reflected parents' perspectives surrounding child involvement in the consent process. The majority of parents felt decision made during childhood were the parents responsibility and should remain in parental purview until the child reaches the age of majority.

Parent perspectives on privacy and governance for a pediatric repository of non-biological, research data.

Research data repositories (RDRs) are data storage entities where data can be submitted, stored, and subsequently accessed for purposes beyond the original intent. There is little information relating to non-biological RDRs, nor considerations regarding pediatric data storage and re-use. We examined parent perspectives on pediatric, non-biological RDRs. Qualitative, descriptive methods including both interviews and focus groups were used. Purposive sampling of adult participants in two provincial birth cohorts yielded 19 interviewees and 18 focus group participants (4 groups). Transcripts were analyzed by thematic content analysis. Parent research participants strongly supported the sharing of their own, and their child's, non-biological research data. Four themes emerged: that altruism has limits, that participants have ongoing privacy concerns, that some participants need the assurance of congruent values between themselves and researchers/research questions, and that opinions diverge for some governance issues. The establishment of RDRs is important and maximizes participants', researchers', and funders' investments. Participants as data donors have concerns relating to privacy, relationships, and governance that must be considered in RDR development.

Staphylococcus aureus induces apoptosis in primary bovine mammary epithelial cells through Fas-FADD death receptor-linked caspase-8 signaling.

Infections with Staphylococcus aureus, a common inducer of mastitis, often result in mammary gland damage and death of various cell types. Although S. aureus was suggested to induce apoptosis in a bovine mammary epithelial cell (BMEC) line, MAC-T, it is unknown whether primary BMECs (pBMECs) apoptosis is triggered by S. aureus and the associated underlying molecular mechanisms have not been determined. Here, we demonstrated that S. aureus induced apoptosis in pBMECs in a time- and dose-dependent manner. Further, S. aureus-induced apoptosis in pBMECs was associated with activation of caspase-3 and caspase-8, but caspase-9 was not. In addition, pBMECs apoptosis was mitigated by caspase-3 and caspase-8 inhibitors, suggesting that apoptosis is initiated via caspase-8 activation. Moreover, S. aureus infection significantly increased expressions of Fas and Fas-associated death domain (FADD) of pBMECs. Taken together, our results demonstrated that S. aureus induced apoptosis in pBMECs via the Fas-FADD death receptor and subsequently triggered the caspase-8-dependent signaling.

[DNA prime followed by protein boost enhances the protective efficacy against Schistosoma japonicum infection in mice].

Schistosomiasis japonica is an endemic, zoonotic disease of major public health importance in China. Vaccination is needed as a complementary approach to the ongoing control programs. In the present study, we determined if the efficacies of DNA vaccine encoding the SjGST and Sj32 asparaginyl endopeptidase protein could be enhanced by boosting with SjGST-32 protein vaccines. Mice were inoculated with a VR1012-SjGST-32 DNA vaccine followed by boosting with rSjGST-32 at 0, 14 and 28 d. Two weeks after the final boost, mice were challenged percutaneously with cercariae. On day 45 following the challenge, all mice were sacrificed and the numbers of recovered worms and hepatic eggs were counted. Moreover, we analyzed the immune response among various vaccination groups. The results showed that DNA vaccine efficacy was enhanced when mice were boosted with protein vaccine. Adult worm and liver egg burdens were reduced 42.3% and 59.6%, respectively. We further found that DNA vaccine followed by boosting with protein significantly increased the IgG titer and T cell proliferation over those seen in mice vaccinated solely with DNA vaccines. Furthermore, the higher level of IFN-gamma expression in the splenetic CD4+ T cell showed that DNA prime-Protein boosting vaccine induced CD4+ Th1-type responses. Thus, DNA vaccine efficacy was significantly enhanced via boosting protein vaccine which might provide a basis for rational application of the Schistosoma vaccine.