1.Mutation analysis of keratin 17 gene in a pedigree with steatocystoma multiplex
Ming LI ; Xiaohong ZHU ; Pingdong JIANG ; Jianxin ZHAI ; Lijia YANG
Chinese Journal of Dermatology 2008;41(11):714-715
Objective To analyse the mutation of K17 gene in a pedigree with steatocystoma multi-plex. Methods Blood samples were obtained from 3 affected and 3 normal individuals in a family with steatocystoma multiplex, as well as from 50 unrelated healthy individuals. Mutation scanning was carried out by PCR and direct sequencing. Results A heterozygous nucleotide transition (C→T) at position 428 in exon 1 of KI7 gene, which leads to the substitution of CGC (arginine) by TGC (histidine) at codon 94, was detected in the affected individuals, but not in normal family members or the 50 unrelated individuals. Conclusion A missense mutation (428C→T) in KI7 gene has been detected in affected individuals of this family, which seems to be a molecular basis of pathogenesis of steatocystoma multiplex.
3. Distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015: results from a multicenter, retrospective study
Yike WAN ; Wei SANG ; Bing CHEN ; Yonggong YANG ; Luqin ZHANG ; Aining SUN ; Yuejun LIU ; Yang XU ; Yipeng CAI ; Chunbin WANG ; Yunfeng SHEN ; Yangwen JIANG ; Xiaoyan ZHANG ; Wei XU ; Ming HONG ; Tao CHEN ; Ruirong XU ; Feng LI ; Yanli XU ; Yan XUE ; Yilong LU ; Zhengmei HE ; Weimin DONG ; Ze CHEN ; Meihua JI ; Yueyan YANG ; Lijia ZHAI ; Yu ZHAO ; Guangqi WU ; Jiahua DING ; Jian CHENG ; Weibo CAI ; Yumei SUN ; Jian OUYANG
Chinese Journal of Hematology 2017;38(7):602-606
Objective:
To describe the distribution and drug resistance of pathogens at hematology department of Jiangsu Province from 2014 to 2015 to provide reference for empirical anti-infection treatment.
Methods:
Pathogens were from hematology department of 26 tertiary hospitals in Jiangsu Province from 2014 to 2015. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or agar dilution method. Collection of drug susceptibility results and corresponding patient data were analyzed.
Results:
The separated pathogens amounted to 4 306. Gram-negative bacteria accounted for 64.26%, while the proportions of gram-positive bacteria and funguses were 26.99% and 8.75% respectively. Common gram-negative bacteria were Escherichia coli (20.48%) , Klebsiella pneumonia (15.40%) , Pseudomonas aeruginosa (8.50%) , Acinetobacter baumannii (5.04%) and Stenotropho-monas maltophilia (3.41%) respectively. CRE amounted to 123 (6.68%) . Common gram-positive bacteria were Staphylococcus aureus (4.92%) , Staphylococcus hominis (4.88%) and Staphylococcus epidermidis (4.71%) respectively. Candida albicans were the main fungus which accounted for 5.43%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were 3.5%-6.1% and 5.0%-6.3% respectively. The rates of Pseudomonas aeruginosa resistant to tobramycin and amikacin were 3.2% and 3.3% respectively. The resistant rates of Acinetobacter baumannii towards tobramycin and cefoperazone/sulbactam were both 19.2%. The rates of Stenotrophomonas maltophilia resistant to minocycline and sulfamethoxazole were 3.5% and 9.3% respectively. The rates of Staphylococcus aureus, Enterococcus faecium and Enterococcus faecalis resistant wards vancomycin were 0, 6.4% and 1.4% respectively; also, the rates of them resistant to linezolid were 1.2%, 0 and 1.6% respectively; in addition, the rates of them resistant to teicoplanin were 2.8%, 14.3% and 8.0% respectively. Furthermore, MRSA accounted for 39.15% (83/212) .
Conclusions
Pathogens were mainly gram-negative bacteria. CRE accounted for 6.68%. The rates of Escherichia coli and Klebsiella pneumonia resistant to carbapenems were lower compared with other antibacterial agents. The rates of gram-positive bacteria resistant to vancomycin, linezolid and teicoplanin were still low. MRSA accounted for 39.15%.