A series of phosphorescent zwitterionic iridium(III) complexes, with 4-carboxy-2, 2'-bipyridine-4'-carboxylate (Hdcbpy) as ancillary ligand, Ir(C(wedge)N)(2)(Hdcbpy) (C(wedge)N = 1-phenylpyrazole (ppz), 1-phenyl-pyridine (ppy), 2-(4',6'-difluoro-phenyl)pyridine (dfppy), 1-phenyl-isoquinoline (piq), dibenzo[f,h]quinoxaline (dbq)), were prepared and characterized. Their photophysical properties were studied, and intense luminescence emissions were observed based on metal-to-ligand-charge-transfer ((3)MLCT), ligand-to-ligand charge-transfer ((3)LLCT), ligand-centered transitions ((3)LC, i.e., (3)pi --> pi*), or intraligand-charge-transfer ((3)ILCT) excited states, which were confirmed by theoretical calculations. The quantum yield of Ir(dfppy)(2)(Hdcbpy) is as high as 0.106 in aqueous solution. With Hdcbpy as a hydrophilic part, their amphiphilic structures as further confirmed by X-ray single crystal data endow them with different solubilities in phosphate buffer solution (PBS, pH 7.0). The compounds were successfully applied as luminescent dyes for cell imaging in aqueous solution. Their different stain ability in cell imaging was fairly well supported by the experimental data based on the measurement of oil/water partition coefficients and encapsulation/release with liposomes.

BackgroundWe investigated whether polymorphisms in the toll-like receptor genes or gene–gene interactions are associated with susceptibility to latent tuberculosis infection (LTBI) or subsequent pulmonary tuberculosis (PTB) in a Chinese population.MethodsTwo matched case–control studies were undertaken. Previously reported polymorphisms in the toll-like receptors (TLRs) were compared between 422 healthy controls (HC) and 205 LTBI patients and between 205 LTBI patients and 109 PTB patients, to assess whether these polymorphisms and their interactions are associated with LTBI or PTB. A PCR-based restriction fragment length polymorphism analysis was used to detect genetic polymorphisms in the TLR genes. Nonparametric multifactor dimensionality reduction (MDR) was used to analyze the effects of interactions between complex disease genes and other genes or environmental factors.ResultsSixteen markers in TLR1, TLR2, TLR4, TLR6, TLR8, TLR9, and TIRAP were detected. In TLR2, the frequencies of the CC genotype (OR = 2.262; 95% CI: 1.433–3.570) and C allele (OR = 1.566; 95% CI: 1.223–1.900) in single-nucleotide polymorphism (SNP) rs3804100 were significantly higher in the LTBI group than in the HC group, whereas the GA genotype of SNP rs5743708 was associated with PTB (OR = 6.087; 95% CI: 1.687–21.968). The frequencies of the GG genotype of SNP rs7873784 in TLR4 (OR = 2.136; 95% CI: 1.312–3.478) and the CC genotype of rs3764879 in TLR8 (OR = 1.982; 95% CI: 1.292-3.042) were also significantly higher in the PTB group than in the HC group. The TC genotype frequency of SNP rs5743836 in TLR9 was significantly higher in the LTBI group than in the HC group (OR = 1.664; 95% CI: 1.201–2.306). An MDR analysis of gene–gene and gene–environment interactions identified three SNPs (rs10759932, rs7873784, and rs10759931) that predicted LTBI with 84% accuracy (p = 0.0004) and three SNPs (rs3804100, rs1898830, and rs10759931) that predicted PTB with 80% accuracy (p = 0.0001).ConclusionsOur results suggest that genetic variation in TLR2, 4, 8 and 9, implicating TLR-related pathways affecting the innate immunity response, modulate LTBI and PTB susceptibility in Chinese.Electronic supplementary materialThe online version of this article (doi:10.1186/s12881-015-0166-1) contains supplementary material, which is available to authorized users.

Redroot pigweed is one of the injurious agricultural weeds on a worldwide basis. Understanding of its interference impact in crop field will provide useful information for weed control programs. The effects of redroot pigweed on cotton at densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m-1 of row were evaluated in field experiments conducted in 2013 and 2014 at Institute of Cotton Research, CAAS in China. Redroot pigweed remained taller and thicker than cotton and heavily shaded cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing redroot pigweed density. Moreover, the interference of redroot pigweed resulted in a delay in cotton maturity especially at the densities of 1 to 8 weed plants m-1 of row, and cotton boll weight and seed numbers per boll were reduced. The relationship between redroot pigweed density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.20–0.33 weed plant m-1 of row would result in a 50% seed cotton yield loss from the maximum yield. Redroot pigweed seed production per plant or per square meter was indicated by logarithmic response. At a density of 1 plant m-1 of cotton row, redroot pigweed produced about 626,000 seeds m-2. Intraspecific competition resulted in density-dependent effects on weed biomass per plant, a range of 430–2,250 g dry weight by harvest. Redroot pigweed biomass ha-1 tended to increase with increasing weed density as indicated by a logarithmic response. Fiber quality was not significantly influenced by weed density when analyzed over two years; however, the fiber length uniformity and micronaire were adversely affected at density of 1 weed plant m-1 of row in 2014. The adverse impact of redroot pigweed on cotton growth and development identified in this study has indicated the need of effective redroot pigweed management.

cThis study aimed to investigate the prevalence of resistance to second-line antituberculosis (anti-TB) drugs and its association with resistance-related mutations in Mycobacterium tuberculosis isolated in China. In the present study, we collected 380 isolates from a population-based study in China and tested the drug susceptibility to first-and selected second-line drugs. These results were compared with polymorphisms in the DNA sequences of genes associated with drug resistance and MIC values of the studied second-line drugs. Of 43 multidrug-resistant M. tuberculosis isolates, 13 showed resistance to fluoroquinolones or injectable second-line drugs (preextensively drug-resistant TB [pre-XDR-TB]), and 4 were resistant to both and thus defined as extensively drug-resistant TB (XDR-TB). Age and previous TB therapy, including use of second-line drugs, were two independent factors associated with increased resistance to both first-and second-line drugs. Molecular analysis identified the most frequent mutations in the resistance-associated genes: D94G in gyrA (29.1%) and A1401G in rrs (30.8%). Meanwhile, all 4 XDR-TB isolates had a mutation in gyrA, and 3 of them carried the A1401G mutation in rrs. Mutations in gyrA and rrs were associated with high-level resistance to fluoroquinolones and the second-line injectable drugs. In addition to the identification of resistance-associated mutations and development of a rapid molecular test to diagnose the second-line drug resistance, it should be a priority to strictly regulate the administration of second-line drugs to maintain their efficacy to treat multidrug-resistant TB.