ABSTRACT
Objective To investigate the Camtrylobacterjejuni's risk factors which were associated with the development of Guillain-Barre syndrome( GBS), the galE gene of C. jejuni strains were sequenced and the sequencing results were compared with other C. jejuni strains. Methods Selecting three GBS-asso-ciated C.jejuni strains isolated from stools of GBS patients who had been diagnosed as AMAN pattern by clin-ical and electrophysiological test from Hebei province, China. After sequencing galE gene, the results were spliced and assembled into a complete sequence by the terminals overlapped each other. The sequences of galE gene were compared with the corresponding sequences in GenBank to find the mutation and constructed the phylogenetic tree. Results The variation frequency of galE sequences of GBS-associated C. jejuni were higher than that of non-GBS-associated C. jejuni. The phylogenetic analysis demonstrated that each of the three C. jejuni strains was separately genetically closed to three strains which sequences have published in GenBank. The alignment with the related sequence of NCTC11168 shows that there are 4 same mutations in the galE gene of the three C. jejuni strains. The phylogenic tree reflected the regional feature of C. jejuni. Conclusion The probability of sequence variation of galE of GBS-associated C.jejuni is significantly higher than non-GBS-associated C. jejuni strains, the relation between the variation and GBS-pathogenesis remains to be further confirmed. The mutations found in the three C. jejuni strains established the foundation for ex-ploring the biologically characteristic of GBS-associated C. jejuni strains.
ABSTRACT
Objective: To systematically review the association between apolipoprotein E (APOE) gene polymorphism and cerebral infarction in Chinese Han population. Methods: The pertinent literature of the gene polymorphism and the case control studies of cerebral infarction in Chinese Han population were researched comprehensively by combined application of 5 effective retrieval approaches. The odds ratio (OR) of the genotype distribution in cerebral infarction group and control group were calculated. Results: A total of 1986 patients with cerebral infarction and controls were included in the meta-analysis. After the data were pooled, the OR values of ApoE ε2/ε3, ApoE ε3/ε3, ApoE ε2/ε4, ApoE ε3/ε4, and ApoE ε4/ε4 were 0. 59 (95% CI, 0.44-0. 79), 0. 52 (95% CI, 0. 40-0.69), 2.00 (95% CI, 1.22-3.28), 2.77 (95% CI, 1.60-4.81 ), and 4. 66 (95% CI, 1.61-13.48), respectively. Conclusions: ApoE ε2/ε4, ApoE ε3/ε4 and ApoE ε4/ε4 genotypes are the risk factors of cerebral infarction. ApoE ε2/ε3 and ApoE ε3/ε3 genotypes are the protective factors of cerebral infarction.
ABSTRACT
To investigate the risk factors for intracerebral hemorrhage in general population.Methods:The related research was searched through English Medical Current Contents (EMCC),China Hospital Knowledge Database (CHKD),MEDLINE,and Chinese Biomedical Literature Database (CBM).The search terms were intracerebral hemorrhage,factor,and case-control study or cohort study.Results:There were 8 literatures with original data were in accordance with the inclusion criteria.All the data could not be combined because there were some differences in counting and metrology in the risk factors included in all the studies.Hypertension,family history of cerebrovascular disease,high salt diet,alcohol consumption,diabetes mellitus,high diastolic pressure,high systolic pressure,smoking,snoring disease,and increased weighted mean difference of body mass index (BMI) (95% confidence interval) were 5.71 (4.00-6.79),3.54 (2.44-5.14),2.58 (1.94-3.43),2.80 (2.29-3.43),2.78 (1.83-4.23,1.90 (1.35-2.70),17.76 (16.60-18.92),30.43 (28.61-32.25),5.42 (5.15-5.70),1.90 (1.34-2.69),6.88 (4.61-10.26,and 5.42 (5.15-5.70),respectively.There were significant differences between the patient groups and control groups among the above indexes (all P<0.000 01).Conclusions:The risk factors for intracerebral hemorrhage include hypertension,family history of cerebrovascular disease,high salt diet,smoking,alcohol consumption,snoring disease,diabetes mellitus,overweight,high diastolic blood pressure,high systolic blood pressure and increased BMI.