This report illustrates a new strategy in designing a T1-T2 dual-modal magnetic resonance imaging (MRI)-visible vector for siRNA delivery and MRI. Hydrophobic gadolinium embedded iron oxide (GdIO) nanocrystals are self-assembled into nanoclusters in water phase with the help of stearic acid modified low molecular weight polyethylenimine (stPEI). The resulting water-dispersible GdIO-stPEI nanoclusters possess good stability, monodispersity with narrow size distribution and competitive T1-T2 dual-modal MR imaging properties. The nanocomposite system is capable of binding and delivering siR-NA for knockdown of a gene of interest while maintaining magnetic properties and biocompatibility. This new gadolinium embedded iron oxide nanocluster provides an important platform for safe and efficient gene delivery with non-invasive T1-T2 dual-modal MRI monitoring capability.

The contribution of reactive oxygen species (ROS) to antimicrobial lethality was examined by treating Escherichia coli with dimethyl sulfoxide (DMSO), an antioxidant solvent frequently used in antimicrobial studies. DMSO inhibited killing by ampicillin, kanamycin, and two quinolones and had little effect on MICs. DMSO-mediated protection correlated with decreased ROS accumulation and provided evidence for ROS-mediated programmed cell death. These data support the contribution of ROS to antimicrobial lethality and suggest caution when using DMSO-dissolved antimicrobials for short-time killing assays. O ne approach to help stem the emergence of new antimicrobial resistance is to kill bacterial pathogens rapidly, thereby quickly reducing bacterial burden and restricting effects of stressinduced mutagenesis (1, 2). Reactive oxygen species (ROS) have been proposed to be key factors in antimicrobial lethality (3-5), and substantial evidence supports this proposition (3-19). However, their role in lethality has been challenged (20, 21). If ROS are indeed integral to antimicrobial-mediated killing, compounds that act as antioxidants and radical scavengers should reduce antimicrobial lethality. We chose to examine this hypothesis using the radical scavenger dimethyl sulfoxide (DMSO) (22, 23), because it is also a popular solvent that is widely used in the pharmaceutical industry and in antimicrobial research due to its (i) low toxicity, (ii) ability to dissolve both organic and inorganic compounds, (iii) ability to remain in a liquid state over a broad temperature range (e.g., from 19°C to 189°C), (iv) ability to enhance cell membrane permeability, and (v) miscibility in water and a wide range of organic solvents. We report here that DMSO interferes with rapid killing of Escherichia coli and Acinetobacter baumannii by members of three antimicrobial classes.E. coli K-12 strains BW25113 and ATCC 25922 and A. baumannii strain ATCC 17978 were grown in Luria-Bertani (LB) broth or on LB agar at 37°C. LB medium, ampicillin, and kanamycin were obtained from Sangon Biotech Co., Ltd. (Shanghai, China). Oxolinic acid, ciprofloxacin, and DMSO were acquired from Sigma-Aldrich Co. (St. Louis, MO). Meropenem (Sumitomo Dainippon Pharma Co. Ltd.) was obtained from Zhongshan Hospital Pharmacy. The fluorescent probe carboxy-H 2 DCFDA [5(6)-carboxy-2=,7=-dichlorodihydrofluorescein diacetate] was purchased from Invitrogen (Grand Island, NY). All chemical stock solutions were dissolved in sterile water (except carboxy-H 2 DCFDA, which was dissolved in DMSO) and stored at Ϫ80°C until use. MICs were assayed by broth dilution according to CLSI protocols (24); exponentially growing cultures were diluted to 10 5 CFU/ml for MIC determinations. To measure rapid bacterial killing, exponentially growing cultures at about 5 ϫ 10 8 CFU/ml were treated with antimicrobials, after which they were serially diluted and plated on drug-free agar. Viable colony counts were determined after an overnight incubation at 37°C; percentage survival rates were calculat...

Significance Finding that pan-tolerance derives from defects in carbohydrate regulation connects stress-mediated lesions with metabolic change, identifies a stable type of tolerance, and demonstrates a widely shared death response. Manipulation of the response should improve antimicrobial efficacy, preserve beneficial bacteria during antimicrobial use, and protect industrial bacteria from toxic products. Mutations in many genes can interfere with stress-mediated metabolism; thus, mutation to pan-tolerance could be a high-probability event. Finding that selection of tolerance to one lethal stressor confers tolerance to many, if not all, indicates that massive disinfectant consumption potentially undermines antimicrobial efficacy and immune defenses against pathogenic bacteria. Since pan-tolerance is hidden from current surveillance of resistance, the work indicates a need for facile methods to measure tolerance.

Deep-sequencing of bacterial transcriptomes using RNA-Seq technology has made it possible to identify small non-coding RNAs, RNA molecules which regulate gene expression in response to changing environments, on a genome-wide scale in an ever-increasing range of prokaryotes. However, a simple and reliable automated method for identifying sRNA candidates in these large datasets is lacking. Here, after generating a transcriptome from an exponential phase culture of Mycobacterium tuberculosis H37Rv, we developed and validated an automated method for the genome-wide identification of sRNA candidate-containing regions within RNA-Seq datasets based on the analysis of the characteristics of reads coverage maps. We identified 192 novel candidate sRNA-encoding regions in intergenic regions and 664 RNA transcripts transcribed from regions antisense (as) to open reading frames (ORF), which bear the characteristics of asRNAs, and validated 28 of these novel sRNA-encoding regions by northern blotting. Our work has not only provided a simple automated method for genome-wide identification of candidate sRNA-encoding regions in RNA-Seq data, but has also uncovered many novel candidate sRNA-encoding regions in M. tuberculosis, reinforcing the view that the control of gene expression in bacteria is more complex than previously anticipated.

Widespread antimicrobial resistance encourages repurposing/refining of non-antimicrobial drugs for antimicrobial indications. Gallium nitrate (GaNt), an FDA-approved medication for cancer-related hypercalcemia, recently showed good activity against several clinically significant bacteria. However, the mechanism of GaNt antibacterial action is still poorly understood. In the present work, resistant and tolerant mutants of Escherichia coli were sought via multiple rounds of killing by GaNt. Multi-round-enrichment yielded no resistant mutant; whole-genome sequencing of one representative GaNt-tolerant mutant uncovered mutations in three genes (evgS, arpA, kdpD) potentially linked to protection from GaNt-mediated killing. Subsequent genetic analysis ruled out a role for arpA and kdpD, but two gain-of-function mutations in evgS conferred tolerance. The evgS mutation-mediated GaNt tolerance depended on EvgS to EvgA phosphor-transfer; EvgA-mediated up-regulation of GadE. YdeO, and SarfA also contributed to tolerance, the latter two likely through their regulation of GadE. GaNt-mediated killing of wild-type cells correlated with increased intracellular ROS accumulation that was abolished by the evgS-tolerant mutation. Moreover, GaNt-mediated killing was mitigated by dimethyl sulfoxide, and the evgS-tolerant mutation upregulated genes encoding enzymes involved in ROS detoxification and in the glyoxylate shunt of the TCA cycle. Collectively, these findings indicate that GaNt kills bacteria through elevation of ROS; gain-of-function mutations in evgS confer tolerance by constitutively activating the EvgA-YdeO/GadE cascade of acid-resistance pathways and by preventing GaNt-stimulated ROS accumulation by upregulating ROS detoxification and shifting TCA cycle carbon flux. The striking lethal activity of GaNt suggests that clinical use of the agent may not quickly lead to resistance.