Objective: To monitor the antimicrobial resistance and drug-resistance genes of Yersinia enterocolitis, Y. intermedia and Y. frederiksenii recovered from retailed fresh poultry of 4 provinces of China. Methods: The susceptibility of 25 isolated Yersinia spp. to 14 classes and 25 kinds of antibiotics was determined by broth microdilution method according to CLSI (Clinical and Laboratory Standards Institute). The antibiotic resistance genes were predicted with antibiotic resistance genes database (ARDB) using whole genome sequences of Yersinia spp. Results: In all 22 Y. enterocolitis tested, 63.7% (14 isolates), 22.8% (5 isolates), 4.6% and 4.6% of 1 isolates exhibited the resistance to cefoxitin, ampicillin-sulbactam, nitrofurantoin and trimethoprim-sulfamethoxazole, respectively. All the 25 isolates were multi-drug resistant to more than 3 antibiotics, while 64.0% of isolates were resistant to more than 4 antibiotics. A few Y. enterocolitis isolates of this study were intermediate to ceftriaxone and ciprofloxacin. Most Yersinia spp. isolates contained antibiotic resistance genes mdtG, ksgA, bacA, blaA, rosAB and acrB, and 5 isolates recovered from fresh chicken also contained dfrA1, catB2 and ant3ia. Conclusion The multi-drug resistant Yersinia spp. isolated from retailed fresh poultry is very serious in the 4 provinces of China, and their contained many kinds of drug-resistance genes.

Objective : To investigate the status quo of drug resistance and influencing factors of tuberculosis in Inner Mongolia , and to provide reference for accurate prevention and control of drug - resistant tuberculosis . Methods : Random sampling was used in this study . TB patients from Tuberculosis designated hospital in Inner Mongolia were included , according to the rules and drug - resistant strains were identified and tested according to relevant norms . Composition ratio or rate was calculated for statistical description , and Logistic regression model was used to analyze the influencing factors of drug resistance in TB patients . Results : Among 1321 patients, there were 936 males and 385 females, with an average age of (52.65 ±18 .09) years . The rates of mono - resistant , multidrug - resistant (MDR) , extensively drug - resistant (XDR) and total drug resistance were 19.00% , 11.58% , 11.66% and 42.24% , respectively . The highest resistance rates were ob served for streptomycin ( 7.27% ) , isoniazid (4.69% ) , and isoniazid + streptomycin (4.47% ) . The drug resistance spectrum presented diversity and com plexity . Compared to females , males had a higher proportion of drug resistance , and the difference was statistically significant (P < 0.001) . The proportion of patients who were sensitive to anti - tuberculosis drugs increased with age (P < 0.05) . Among different age groups , the proportion of drug - resistant patients was higher in the 20 - 40 age group , 40 - 60 age group , and 60 and above age group compared to the 0 - 20 age group (P < 0.05) . Addi tionally , the proportion of drug - resistant patients was higher in the 20 - 40 age group and 40 - 60 age group com pared to the 60 and above age group (P < 0.05) . Moreover , the proportion of drug - resistant and multi - drug resistant patients was higher among patients undergoing retreatment compared to those undergoing initial treatment (P < 0.001) . Multivariate Logistic regression analysis showed that male gender (OR = 1.48 , 95% CI: 1.02 - 2.14) , age 20 - 40 years (OR = 2.64 , 95% CI: 1.05 - 6.60) , retreatment (OR = 2.34 , 95% CI: 1.70 - 3.22) , and outpatient follow-up (OR = 1.56 , 95% CI: 1.05 - 2.33) were independent risk factors for drug - resistant tuber culosis . Conclusion Inner Mongolia has a high prevalence of MDR and overall drug - resistant tuberculosis among patients . The drug resistance profile exhibits diversity and complexity . Risk factors that contribute to drug resistance include being male , aged between 20 and 40 , undergoing retreatment , and receiving outpatient follow - up . Therefore , it is necessary to further improve clinical diagnosis and treatment , promote rational use of first - line anti - tuberculosis drugs , prioritize individualized treatment , enhance health education , improve the medical insurance system , and optimize patient management approaches in order to enhance patient compliance .

In order to quantitatively evaluate the performance of dry electrode for fabric surface bioelectricity, a set of active measuring devices that can simulate electrocardiosignal has been developed on the basis of passive system by our group. Five Ag/AgCl fabric dry electrodes were selected to test and evaluate the devices. The results show that the deviation ratios of peak time interval of the five electrodes are all less than 1%. The maximum voltage amplitude decay rate is 7.2%, and the noise amplitudes are lower than 0.004 mV. The variable coefficient of peak time offset is less than 8%. The variable coefficient of voltage amplitude is less than 2%. The variable coefficient of noise amplitude is less than 10%. Research shows the devices has good repeatability and stability in measuring the simulated electrocardiosignal. The active measuring devices proposed in this paper can provide a new method for performance evaluation and standard formulation of surface bioelectricity dry electrode.
Electrodes ; Textiles ; Wearable Electronic Devices

The development of nanomedicine has recently achieved several breakthroughs in the field of cancer treatment; however, biocompatibility and targeted penetration of these nanomaterials remain as limitations, which lead to serious side effects and significantly narrow the scope of their application. The self-assembly of intermediate filaments with arginine-glycine-aspartate (RGD) peptide (RGD-IFP) was triggered by the hydrophobic cationic molecule 7-amino actinomycin D (7-AAD) to synthesize a bifunctional nanoparticle that could serve as a fluorescent imaging probe to visualize tumor treatment. The designed RGD-IFP peptide possessed the ability to encapsulate 7-AAD molecules through the formation of hydrogen bonds and hydrophobic interactions by a one-step method. This fluorescent nanoprobe with RGD peptide could be targeted for delivery into tumor cells and released in acidic environments such as endosomes/lysosomes, ultimately inducing cytotoxicity by arresting tumor cell cycling with inserted DNA. It is noteworthy that the RGD-IFP/7-AAD nanoprobe tail-vein injection approach demonstrated not only high tumor-targeted imaging potential, but also potent antitumor therapeutic effects in vivo. The proposed strategy may be used in peptide-driven bifunctional nanoparticles for precise imaging and cancer therapy.

Objective : To investigate the nutritional status and dietary structure of tuberculosis patients among different populations , analyze the factors influencing the nutritional status of tuberculosis patients , and provide theoretical basis for improving clinical nutrition and related issues in tuberculosis patients. Methods : Tuberculosis patients , non⁃tuberculosis patients , and healthy individuals were randomly selected for a questionnaire survey. Descriptive analysis was conducted using SPSS 20. 0 software. Statistical description was performed using rates and composition ratios , and qualitative data were described using relative numbers. Chi⁃square test was used to compare overall rates and composition ratios among different health conditions groups , with a significance level of α = 0. 05. Independent factors analysis of nutritional status body mass index (BMI) was conducted using multiple Logistic regression analysis for variables with statistically significant differences in the univariate analysis. Results : There were differences in the nutritional status (χ2 = 62. 184 , P < 0. 05) and dietary diversity score (χ2 = 64. 049 , P < 0. 05 ) among tuberculosis patients , non⁃tuberculosis patients , and healthy individuals. Univariate analysis of nutritional status BMI showed statistically significant differences in gender, smoking , meat⁃based diet , vegetable⁃based diet , moderate diet diversity score , and 6 other variables for tuberculosis patients ( P < 0. 05 ) , and in gender, age , ethnicity , marital status , occupation , education level , smoking , drinking white wine , drinking beer, meatcally significant differences in the univariate analysis were included in the multiple ordinal logistic regression analysis model for both tuberculosis patients and healthy individuals. The results showed that the level of education , vegetable intake , moderate food diversity score (DDS) of 4 - 6 were independent influencing factors of nutritional status BMI among tuberculosis patients (P < 0. 05) ; marital status was an independent influencing factor of nutritional status BMI among non⁃tuberculosis patients (P < 0. 05) ; while gender and occupation were independent influencing factors of nutritional status BMI among healthy individuals (P < 0. 05) . Conclusion The dietary nutritional status of the three population groups varied. Targeted health education should be conducted , especially for tuberculosis patients , to address the issue of uneven dietary intake and promote good dietary habits among local tuberculosis patients.