Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China.

Objective: China is among the 30 countries with a high burden of tuberculosis (TB) worldwide, and TB remains a public health concern. Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China. However, molecular epidemiological studies of Kashgar are lacking. Methods: A population-based retrospective study was conducted using whole-genome sequencing (WGS) to determine the characteristics of drug resistance and the transmission patterns. Results: A total of 1,668 isolates collected in 2020 were classified into lineages 2 (46.0%), 3 (27.5%), and 4 (26.5%). The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid (7.4%, 124/1,668), streptomycin (6.0%, 100/1,668), and rifampicin (3.3%, 55/1,668). The rate of rifampicin resistance was 1.8% (23/1,290) in the new cases and 9.4% (32/340) in the previously treated cases. Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains, respectively: 18.6% vs. 8.7 or 9%, P < 0.001. The estimated proportion of recent transmissions was 25.9% (432/1,668). Multivariate logistic analyses indicated that sex, age, occupation, lineage, and drug resistance were the risk factors for recent transmission. Despite the low rate of drug resistance, drug-resistant strains had a higher risk of recent transmission than the susceptible strains (adjusted odds ratio, 1.414; 95% CI, 1.023-1.954; P = 0.036). Among all patients with drug-resistant tuberculosis (DR-TB), 78.4% (171/218) were attributed to the transmission of DR-TB strains. Conclusion: Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

A Nonlinear Magnetoelastic Energy Model and Its Application in Domain Wall Velocity Prediction.

In this letter, we propose a nonlinear Magnetoelastic Energy (ME) with a material parameter related to electron interactions. An attenuating term is contained in the formula of the proposed nonlinear ME, which can predict the variation in the anisotropic magneto-crystalline constants induced by external stress more accurately than the classical linear ME. The domain wall velocity under stress and magnetic field can be predicted accurately based on the nonlinear ME. The proposed nonlinear ME model is concise and easy to use. It is important in sensor analysis and production, magneto-acoustic coupling motivation, magnetoelastic excitation, etc.

Pretreatment of old-age landfill leachate by microwave-assisted catalytic oxidation in the presence of activated carbon.

Landfill leachate is posing an ever-greater environmental hazard. Recently, a process for purification combining activated carbon, microwave (MW) and Fenton oxidation has drawn much attention. In this study, the effectiveness of this process for the pretreatment of an old-age landfill leachate was tested. The effects of various parameters were investigated and the optimal condition included as follows: MW energy density, 6 W/mL; MW power, 300 W; radiation time, 8 min; H2O2 dosage, 0.1 mol/L; Fe(2+)-EDTA dosage, 0.02 mol/L; granular activated carbon (GAC) dosage, 6 g/L. Within the present experimental condition applied, the chemical oxygen demand (COD) removal reached 56.5%, and the ratio of 5-day biochemical oxygen demand to chemical oxygen demand (BOD5/COD) was enhanced from 0.122 to 0.462. Comparing with GAC, MW and Fenton alone or the combinations of any two of them, MW/Fenton/GAC displayed superior treatment efficiency. The MW/Fenton/GAC process is believed to be a promising pretreatment technology for biorefractory old-age landfill leachate.