A colanic acid operon deletion mutation enhances induction of early antibody responses by live attenuated salmonella vaccine strains

Colanic acid (CA) is a common exopolysaccharide produced by many genera in the Enterobacteriaceae. It is critical for biofilm formation on HEp-2 cells and on chicken intestinal tissue by Salmonella. In this study, we generated different CA synthesis gene mutants and evaluated the immune responses induced by these mutants. One of these mutations, Δ(wza-wcaM)8, which deleted the whole operon for CA synthesis, was introduced into two Salmonella vaccine strains attenuated by auxotrophic traits or by the regulated delayed attenuation strategy (RDAS). The mice immunized with the auxotrophic Salmonella vaccine strain with the deletion mutation Δ(wza-wcaM)8 developed higher vaginal IgA titers against the heterologous protective antigen and higher levels of antigen-specific IgA secretion cells in lungs. In Salmonella vaccine strains with RDAS, the strain with the Δ(wza-wcaM)8 mutation resulted in higher levels of protective antigen production during in vitro growth. Mice immunized with this strain developed higher serum IgG and mucosal IgA antibody responses at 2 weeks. This strain also resulted in better gamma interferon (IFN-γ) responses than the strain without this deletion at doses of 10(8) and 10(9) CFU. Thus, the mutation Δ(wza-wcaM)8 will be included in various recombinant attenuated Salmonella vaccine (RASV) strains with RDAS derived from Salmonella enterica serovar Paratyphi A and Salmonella enterica serovar Typhi to induce protective immunity against bacterial pathogens

Phase I Clinical Trial of Systemically Administered TUSC2(FUS1)-Nanoparticles Mediating Functional Gene Transfer in Humans

Background: Tumor suppressor gene TUSC2/FUS1 (TUSC2) is frequently inactivated early in lung cancer development. TUSC2 mediates apoptosis in cancer cells but not normal cells by upregulation of the intrinsic apoptotic pathway. No drug strategies currently exist targeting loss-of–function genetic abnormalities. We report the first in-human systemic gene therapy clinical trial of tumor suppressor gene TUSC2. Methods: Patients with recurrent and/or metastatic lung cancer previously treated with platinum-based chemotherapy were treated with escalating doses of intravenous N-[1-(2,3-dioleoyloxy)propyl]-N,N,N-trimethylammonium chloride (DOTAP):cholesterol nanoparticles encapsulating a TUSC2 expression plasmid (DOTAP:chol-TUSC2) every 3 weeks. Results: Thirty-one patients were treated at 6 dose levels (range 0.01 to 0.09 milligrams per kilogram). The MTD was determined to be 0.06 mg/kg. Five patients achieved stable disease (2.6–10.8 months, including 2 minor responses). One patient had a metabolic response on positron emission tomography (PET) imaging. RT-PCR analysis detected TUSC2 plasmid expression in 7 of 8 post-treatment tumor specimens but not in pretreatment specimens and peripheral blood lymphocyte controls. Proximity ligation assay, performed on paired biopsies from 3 patients, demonstrated low background TUSC2 protein staining in pretreatment tissues compared with intense (10–25 fold increase) TUSC2 protein staining in posttreatment tissues. RT-PCR gene expression profiling analysis of apoptotic pathway genes in two patients with high posttreatmen

A cross-sectional study of self-reported chemical-related sensitivity is associated with gene variants of drug-metabolizing enzymes

BACKGROUND: N-acetyltransferases (NAT) and glutathione S-transferases (GST) are involved in the metabolism of several ubiquitous chemical substances leading to the activation and detoxification of carcinogenic heterocyclic and aromatic amines. Since polymorphisms within these genes are described to influence the metabolism of ubiquitous chemicals, we conducted the present study to determine if individuals with self-reported chemical-related sensitivity differed from controls without self-reported chemical-related sensitivity with regard to the distribution of genotype frequencies of NAT2, GSTM1, GSTT1, and GSTP1 polymorphisms. METHODS: Out of 800 subjects who answered a questionnaire of ten items with regard to their severity of chemical sensitivity 521 unrelated individuals agreed to participate in the study. Subsequently, genetic variants of the NAT2, GSTM1, GSTT1, and GSTP1 genes were analyzed. RESULTS: The results show significant differences between individuals with and without self-reported chemical-related sensitivity with regard to the distribution of NAT2, GSTM1, and GSTT1 gene variants. Cases with self-reported chemical-related sensitivity were significantly more frequently NAT2 slow acetylators (controlled OR = 1.81, 95% CI = 1.27–2.59, P = 0.001). GSTM1 and GSTT1 genes were significantly more often homozygously deleted in those individuals reporting sensitivity to chemicals compared to controls (GSTM1: controlled OR 2.08, 95% CI = 1.46–2.96, P = 0.0001; GSTT1: controlled OR = 2.80, 95% CI = 1.65–4.75, P = 0.0001). Effects for GSTP1 gene variants were observed in conjunction with GSTM1, GSTT1 and NAT2 gene. CONCLUSION: The results from our study population show that individuals being slow acetylators and/or harbouring a homozygous GSTM1 and/or GSTT1 deletion reported chemical-related hypersensitivity more frequently

Artificial Intelligence and Labor Productivity Paradox: The Economic Impact of AI in China, India, Japan, and Singapore

Artificial intelligence is designed to generate technologies that potentially increase productivity and economic welfare. This study analyzes the relationship between GDP and high-technology exports, GDP per person employed, and unemployment rate in China, India, Japan, and Singapore. Recent concerns on technological unemployment claim that artificial intelligence disrupts the labor market which decreases employment over time. Using the multiple regression analysis, this study proved that Japan comparatively has better utilization of AI and labor productivity as all independent variables show significance to the GDP. Labor productivity in all countries is positively related to GDP. However, China and India showed signs of improper AI utilization as technological unemployment occurred. The unemployment rate in China is insignificant to its GDP, while India's unemployment rate is positively related to GDP, hence the jobless growth. In Singapore, the insignificance of high-tech exports to GDP is due to its lack of R&D investments these recent years. The results suggest that AI escalates growth through proper utilization trade liberalization, as exercised by Japan, as it helps the economy to be open and flexible to various free trade agreements which facilitates technological progress and enables the opening of new markets for growth and expansion, especially of artificial intelligence, which attracts and encourage foreign direct investments that will cater technology transfer, creation of new jobs, and economic growth

Hdm2 Is Regulated by K-Ras and Mediates p53-Independent Functions in Pancreatic Cancer Cells

There is emerging evidence that the oncogenic potential of hdm2 (human and/or murine double minute-2 protein) stems not only from its ability to counteract tumor suppressor p53 but also from its less understood p53-independent functions. Surprisingly, little is known about the role and regulation of hdm2 in pancreatic tumors, a large proportion (50-75%) of which contain mutant p53. In this study, we determined that hdm2 was expressed in a Ras-signaling-dependent manner in various pancreatic cancer cell lines. As p53 was mutated and inactive in these cells, the expression of hdm2 was seemingly redundant. Indeed, the proliferation and survival of cell lines such as Panc-1 and Panc-28 could be inhibited by PRIMA-1 (mutant p53 activator) but not by Nutlin-3 (inhibitor of the hdm2-p53 interaction). Unexpectedly, however, the proliferation of both cell lines was strongly inhibited by hdm2-specific RNAi. Our data also revealed cyclin D1, c-Jun and c-Myc to be novel targets of hdm2 and suggested that they might mediate hdm2\u27s role in cellular proliferation and/or survival. We conclude from our results that hdm2 is expressed in pancreatic cancer cells as a result of activated Ras signaling, and that it regulates cellular proliferation and the expression of three novel target genes by p53-independent mechanisms