1.Study on KIR gene polymorphisms in 416 renal transplantation recipients from southern Zhejiang.
Xiao-qian CHEN ; Qi WU ; Shuang-shuang XIE ; Wei-jun ZHAO ; Cun-zao WU ; Yong CAI ; Peng XIA ; Yi-rong YANG ; Bi-cheng CHEN
Chinese Journal of Medical Genetics 2013;30(6):701-705
OBJECTIVETo investigate polymorphisms of killer cell immunoglobulin-like receptor gene (KIR) in renal transplant recipients from southern Zhejiang.
METHODSKIR genotypes were analyzed by PCR-SSP in 416 renal transplant recipients, and the genotype frequencies were compared with populations from Eastern China and worldwide.
RESULTSAll 16 known KIR genes were detected in the renal transplant recipients, and KIR2DL4, 3DL2-3, 3PD1 were found in all. As a pseudogene, 2DP1 has a high genotype frequency (99%). The frequencies of KIR2DL1, 2DL3, 3DL1, 2DS4 have ranged from 92.1% to 98.8%. Compared with 11 groups in Eastern China and other countries, the KIR2DL2 phenotype frequency was higher (34.6%) than those of Shanghai, Zhejiang and Jiangsu populations (P<0.05). Among 41 genotypes, three have not been reported previously. The most common genotype was AA1, with a frequency of 43.51%, which was significantly lower than those of Jiangsu and Northern Zhejiang.
CONCLUSIONRenal transplant recipients from southern Zhejiang share similar features with Eastern China Han population with regard to KIR polymorphisms, but also have unique frequencies for KIR genotypes.
Adolescent ; Adult ; Aged ; China ; Female ; Gene Frequency ; Genotype ; Humans ; Kidney Transplantation ; methods ; Male ; Middle Aged ; Polymorphism, Genetic ; Receptors, KIR ; genetics ; Young Adult
2.Determination of trace elements in 13 traditional Chinese medicines in medicated diet for diabetes mellitus by ICP-MS.
You-Yan SHAO ; Bi-Shuang CAI ; Ji-Yun LIN ; Jin-Sen XU
China Journal of Chinese Materia Medica 2007;32(19):2011-2015
OBJECTIVETo investigate six trace elements including Cr, Zn, Mn, Se, Cu and V of 13 traditional Chinese medicines (TCM) commonly used in diet therapy of diabetes mellitus.
METHODThe samples were prepared through digesting in a microwave oven and determined with Inductively Coupled Plasma Mass Spectrometry (ICP-MS).
RESULTThe correlative coefficients of the calibration curves were above 0.999. Standard addition recovery was 88.7% - 110.0% and RSD < or = 7.0%. Under the given analytical conditions, the results obtained showed that the contents of the six trace elements varied in these TCM samples, for element Cr, ranging between 0-11.82 microg x g(-1), Mn in 4.36-564.3 microg x g(-1), Cu in 0.55-13.34 microg x g(-1), Zn in 3.19-86.23 microg x g(-1) Se in 0-0.39 microg x g(-1) and V in 0.05-12.04 microg x g(-1), respectively.
CONCLUSIONThe possible relationship between the content of the six trace elements and 13 TCM samples for dietetic therapy of diabetes mellitus was also discussed.
Chromium ; analysis ; Copper ; analysis ; Diet, Diabetic ; Drugs, Chinese Herbal ; chemistry ; isolation & purification ; Manganese ; analysis ; Mass Spectrometry ; methods ; Medicine, Chinese Traditional ; Plants, Medicinal ; chemistry ; Reproducibility of Results ; Selenium ; analysis ; Spectrophotometry, Atomic ; Trace Elements ; analysis ; Vanadium ; analysis ; Zinc ; analysis
3.A multicenter epidemiological study of acute bacterial meningitis in children.
Cai Yun WANG ; Hong Mei XU ; Jiao TIAN ; Si Qi HONG ; Gang LIU ; Si Xuan WANG ; Feng GAO ; Jing LIU ; Fu Rong LIU ; Hui YU ; Xia WU ; Bi Quan CHEN ; Fang Fang SHEN ; Guo ZHENG ; Jie YU ; Min SHU ; Lu LIU ; Li Jun DU ; Pei LI ; Zhi Wei XU ; Meng Quan ZHU ; Li Su HUANG ; He Yu HUANG ; Hai Bo LI ; Yuan Yuan HUANG ; Dong WANG ; Fang WU ; Song Ting BAI ; Jing Jing TANG ; Qing Wen SHAN ; Lian Cheng LAN ; Chun Hui ZHU ; Yan XIONG ; Jian Mei TIAN ; Jia Hui WU ; Jian Hua HAO ; Hui Ya ZHAO ; Ai Wei LIN ; Shuang Shuang SONG ; Dao Jiong LIN ; Qiong Hua ZHOU ; Yu Ping GUO ; Jin Zhun WU ; Xiao Qing YANG ; Xin Hua ZHANG ; Ying GUO ; Qing CAO ; Li Juan LUO ; Zhong Bin TAO ; Wen Kai YANG ; Yong Kang ZHOU ; Yuan CHEN ; Li Jie FENG ; Guo Long ZHU ; Yan Hong ZHANG ; Ping XUE ; Xiao Qin LI ; Zheng Zhen TANG ; De Hui ZHANG ; Xue Wen SU ; Zheng Hai QU ; Ying ZHANG ; Shi Yong ZHAO ; Zheng Hong QI ; Lin PANG ; Cai Ying WANG ; Hui Ling DENG ; Xing Lou LIU ; Ying Hu CHEN ; Sainan SHU
Chinese Journal of Pediatrics 2022;60(10):1045-1053
Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ2=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
Adolescent
;
Brain Abscess
;
Child
;
Child, Preschool
;
Escherichia coli
;
Female
;
Humans
;
Hydrocephalus
;
Infant
;
Infant, Newborn
;
Male
;
Meningitis, Bacterial/epidemiology*
;
Retrospective Studies
;
Streptococcus agalactiae
;
Streptococcus pneumoniae
;
Subdural Effusion
;
beta-Lactamases
4.Association of Visit-to-Visit Variabilities in Metabolic Factors with Chronic Kidney Disease in Chinese Adults Living in Shanghai.
Ling LI ; Fei WANG ; Min XU ; Jie Li LU ; Zhi Yun ZHAO ; Mian LI ; Tian Ge WANG ; Shuang Yuan WANG ; Yu Fang BI ; Yu XU ; Wei Min CAI ; Guang NING
Biomedical and Environmental Sciences 2021;34(10):761-772
Objective:
This study aimed to examine the association of visit-to-visit variabilities in metabolic factors with chronic kidney disease (CKD) in Shanghai community residents.
Methods:
We used data from a cohort study of community residents who participated in three examinations in 2008, 2009, and 2013, respectively. Fasting plasma glucose (FPG) level, blood pressure (BP), and lipid levels were determined in 2,109 participants at all three visits, and CKD was evaluated between the second and the third visits. Visit-to-visit variabilities in metabolic factors were described by coefficients of variation (CV) at three visits. A variability score was calculated by adding the numbers of metabolic factors with a high variability defined as the highest quartile of CV. CKD was defined as the estimated glomerular filtration rate < 60 mL/min per 1.73 m
Results:
A total of 200 (9.5%) participants had CKD at the third visit. Compared with the lowest quartile of CV, the highest quartile was associated with a 70% increased risk of CKD for FPG [odds ratio,
Conclusion
The visit-to-visit variabilities in metabolic factors were significantly associated with the risks of CKD in Shanghai community residents.
Aged
;
Aged, 80 and over
;
China/epidemiology*
;
Cohort Studies
;
Female
;
Glomerular Filtration Rate
;
Humans
;
Incidence
;
Male
;
Middle Aged
;
Renal Insufficiency, Chronic/physiopathology*