Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC–MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products.

Objective To estimate the health-related economic costs attributable to smoking in China for persons aged 35 and older in 2003 and in 2008 and to compare these costs with the respective results from 2000. Methods A prevalence-based, disease-specific approach was used to estimate smoking-attributable direct and indirect economic costs. The primary data source was the 2003 and 2008 China National Health Services Survey, which contains individual participant’s smoking status, healthcare utilization, and expenditures. Results The total economic cost of smoking in China amounted to $17.1 billion in 2003 and $28.9 billion in 2008 (both measured in 2008 constant US dollars). Direct smoking-attributable healthcare costs in 2003 and 2008 were $4.2 billion and $6.2 billion, respectively. Indirect economic costs in 2003 and 2008 were $12.9 billion and $22.7 billion, respectively. Compared to 2000, the direct costs of smoking rose by 72% in 2003 and 154% in 2008, while the indirect costs of smoking rose by 170% in 2003 and 376% in 2008. Conclusion The economic burden of cigarette smoking has increased substantially in China during the past decade and is expected to continue to increase as the national economy and the price of healthcare services grow. Stronger intervention measures against smoking should be taken without delay to reduce the health and financial losses caused by smoking.

Background Secondhand smoke (SHS) exposure harms pregnant women and the fetus. China has the world’s largest number of smokers and a high male smoking prevalence rate. Objective To compare exposure to SHS among rural and urban Chinese non-smoking pregnant women with smoking husbands, and analyze factors associated with the level of SHS exposure and hair nicotine concentration Setting Sichuan province, China. Population In all 1181 non-smoking pregnant women with smoking husbands recruited from eight district/county Women and Children’s hospitals. Methods The women completed a questionnaire in April and May 2008. Based on systematic sampling, 186 pregnant women were selected for sampling the nicotine concentration in their hair. Ordinal logistic regression analysis was conducted to examine correlates with self-reported SHS exposure (total and at home); linear regression was conducted for the sub-sample of hair nicotine concentrations. Main outcome measures Secondhand smoking exposure rates, hair nicotine levels. Results About 75.1% of the non-smoking pregnant women with smoking husbands reported regular SHS exposure. The major source of exposure was through their husband. In the multivariate analysis, the risk of greater SHS exposure (total and at home) and hair nicotine concentration was increased for women who were rural, had a husband with greater cigarette consumption, less knowledge about SHS, less negative attitudes about SHS, and no smoke-free home rules. Conclusions The high prevalence rate of SHS exposure suggests that it is important for non-smoking pregnant women, especially rural women, to establish smoke-free home rules and increase knowledge and negative attitudes towards SHS.

Nonribosomal peptides are highly sought after for their therapeutic applications. As with other natural products, dereplication of known compounds and focused discovery of new agents within this class are central concerns of modern natural product-based drug discovery. Development of a chemoinformatic library-based and informatic search strategy for natural products (iSNAP) has been constructed and applied to nonribosomal peptides and proved useful for true nontargeted dereplication across a spectrum of nonribosomal peptides and within natural product extracts.drug discovery | antibiotic | secondary metabolite | genome mining

Our smoke-free health education intervention for nonsmoking pregnant women significantly reduced SHS exposure before and after birth. This intervention model can become part of a standard protocol for the care of pregnant women in hospital settings.