1.Analysis of the determinants of average length of stay of primary hospitals of Xinjiang province
Hai YNAG ; Nanfang LI ; Ling ZHOU ; Jing HONG ; Yanying GUO ; Yanrong HU ; Li GAO ; Hongmei WANG ; Zhitao YAN ; Yongan KANG ; Sufang ZHAO ; Weihong XING ; Weijin OUYANG ; Qiuyan CHENG ; Bo ZOU
Chinese Journal of Primary Medicine and Pharmacy 2012;19(1):15-16
ObjectiveTo explore the determinants of average length of stay of three county hospitals and eleven countryside hospitals of Xinjiang province.MethodsRelative data of the county and the countryside hospitals from 2009 to 2010 were collected,and descriptive analysis and rank sum test were employed to explore the determinants of average length of stay.ResultsThe average length of stay of the county hospital was longer than the countryside hospital,the average length of stay had significant differences between the gender,age,and the disease classfication.ConclusionThe average length of stay of the county hospitals and countryside hospitals had difference significantly.
2.Research siblings identification by Identiffler system and automatic STR genetic
Yanxia GUO ; Yanrong KANG ; Wanshui LI ; Song CHEN ; Guochen ZHANG ; Kaihui LIU ; Yandong GUO ; Jiali LI ; Hongling GUO ; Jinping HAO ; Lu LIU ; Jian YE ; Xiaoyu XU ; Yuan OU ; Jian ZHANG ; Xiaojian LIN ; Hua WANG ; Yashen ZHAI ; Ruihua MI
Chinese Journal of Forensic Medicine 2009;24(6):368-371
Objective To evaluate the probability of siblings identification in Identifiler system by using the software of automatic analysis.Methods Using the software of automatic analysis in siblings jdentification.STP genetic typing of 151 pairs of full siblings and 31224 pairs of unrelated individuals from manual simulation were analyzed in 15 STR loci of ldentifiler system.Results Kin probability(W_(FS))of 39.07% full siblings were more than 99.999% while W_(FS) of unrelated individual pairs were 0% .W_(FS) of 60.93% full siblings and 21.3% unrelated individual pairs were all at the range from 99.999% to 1% .W_(FS) of 78.7% unrelated individual pairs 0% full siblings individuals were less than 1% .Therefore,there were notability difference between full siblings and unrelated individual pairs.In addition,testing of 15 STR loci of Identifiler system,it suggested that the pair were siblings when the locus number of the entirely-same is not less than 5 or that of the entirely-different is not more than 1,and that the pair were unrelated individuals when the locus number of the entirely-different is not less than 6 or that of the entirely-8alne is not more than 1.Conclusion The software of automatic analysis and the Identifiler system call be used to siblings identification.
3.Therapeutic effects of hypoxia-inducible factor-1α siRNA on collagen-induced arthritis in mice and its inhibitory effects on M1 macrophages
Jin MENG ; Min KANG ; Yu GUO ; Yanrong LU ; Chunyan PANG
Chinese Journal of Microbiology and Immunology 2022;42(12):955-964
Objective:To investigate the therapeutic effects of a small interfering RNA (siRNA) targeting hypoxia inducible factor-1α (HIF-1α) on collagen-induced arthritis (CIA) in mice and to analyze the possible mechanism at the macrophage level.Methods:DBA/1 mice were injected with bovine type Ⅱ collagen to establish the CIA model. Then, they were injected with HIF-1α-siRNA adenovirus or negative control adenovirus through tail vein once a week for four weeks. This study included four groups: control group, CIA model group, negative control group and HIF-1α-siRNA group. Mouse bone marrow-derived macrophages (BMDMs) were isolated and cultured. The relative expression of CD206 and arginine (Arg) at mRNA level in mouse BMDMs was detected by RT-PCR. The proportions of F4/80 + CD16/32 + M1 and F4/80 + CD206 + M2 macrophages in spleen and thymus were detected by flow cytometry. Pathological changes in the ankle joint of mice were observed using HE staining. Immunohistochemistry was used to detect the expression of macrophages and the subsets in mouse synovial tissues. Results:(1) Compared with the control group, the CIA model group showed decreased expression of CD206 at mRNA level in BMDMs, but increased expression of Arg at mRNA level ( P<0.01). HIF-1α-siRNA increased the expression of CD206 at mRNA level ( P<0.05) and reduced the expression of Arg at mRNA level in BMDMs of mice with CIA ( P<0.01). (2) Compared with the control group, the mice in the CIA model group had increased proportions of F4/80 + CD16/32 + M1 macrophages in splenocytes and thymocytes ( P<0.05), but decreased proportions of F4/80 + CD206 + M2 macrophages in thymocytes ( P<0.05). HIF-1α-siRNA could down-regulate the proportions of F4/80 + CD16/32 + M1 macrophages in splenocytes and thymocytes ( P<0.05), and up-regulate the proportions of F4/80 + CD206 + M2 macrophages in thymocytes of CIA mice ( P<0.01). (3) CIA mice had synovial hyperplasia and macrophages infiltration, especially M1 macrophages, in the ankle joint. HIF-1α-siRNA could alleviate the synovial hyperplasia and macrophage infiltration. Conclusions:HIF-1α-siRNA could alleviate macrophage infiltration and synovial hyperplasia in CIA mice through reducing the proportions of M1 macrophages in thymocytes, BMDMs and synovial tissues and increasing the proportion of M2 macrophages, suggesting that HIF-1α-siRNA could treat CIA mice by regulating the differentiation of M1 and M2 macrophages.