Background: Salmonella is one of the most important enteric pathogenic bacteria that threatened poultry health. Aims: This study aimed to investigate the prevalence and antimicrobial resistance of Salmonella isolates in goose farms. Methods: A total of 244 cloacal swabs were collected from goose farms to detect Salmonella in NORTHEAST CHINA. Antimicrobial susceptibility, and resistance gene distribution of Salmonella isolates were investigated. Results: Twenty-one Salmonella isolates were identified. Overall prevalence of Salmonella in the present study was 8. 6%. Among the Salmonella isolates, the highest resistance frequencies belonged to amoxicillin (AMX) (85. 7%), tetracycline (TET) and trimethoprim/sulfamethoxazole (SXT) (81%), followed by chloramphenicol (CHL) (76. 2%), florfenicol (FLO) (71. 4%), kanamycin (KAN) (47. 6%), and gentamycin (GEN) (38. 1%). Meanwhile, only 4. 8% of the isolates were resistant to ciprofloxacin (CIP) and cefotaxime (CTX). None of the isolates was resistant to cefoperazone (CFP) and colistin B (CLB). Twenty isolates (95%) were simultaneously resistant to at least two antimicrobials. Ten resistance genes were detected among which the blaTEM-1, cmlA, aac(6’ )-Ib-cr, sul1, sul2, sul3, and mcr-1. 1 were the most prevalent, and presented in all 21 isolates followed by tetB (20/21), qnrB (19/21), and floR (15/21). Conclusion: Results indicated that Salmonella isolates from goose farms in NORTHEAST CHINA exhibited multi-drug resistance (MDR), harboring multiple antimicrobial resistance genes. Our results will be useful to design prevention and therapeutic strategies against Salmonella infection in goose farms.

Background: Dyslipidemia is a common and serious health problem, especially in middle-aged women. We aimed to reveal quantile-specific associations of serum lipids [triglycerides (TG), total cholesterol (TC), low den-sity lipoprotein cholesterol (LDL-c) and high density lipoprotein cholesterol (HDL-c)] with influencing factors in middle-aged women. Methods: A sample of 5635 participants were enrolled from Jilin, CHINA, in 2012. Quantile regression (QR) model was performed to identify factors which influenced serum lipids in different quantiles. Results: The influencing factors of TG, TC, LDL-c and HDL-c were different. Waist circumference (WC), menopause, smoking, diabetes and hypertension were positively associated with TG in almost all quantiles; Menopause and age were positively associated with TC in almost all quantiles. WC, living in urban areas and alcohol consumption were positively associated with TC in low and middle quantiles, diabetes was positively associated with TC from P50 to P95. The result of LDL-c was similar to TC; BMI was negatively associated with HDL-c from P50 to P90. WC and diabetes were negatively associated with HDL-c from P5 to P90. Conclusion: Among middle-aged women, menopause, diabetes and WC were the main factors affecting the serum lipids. Postmenopausal women would get more risk in increasing the level of serum lipids.