ABSTRACT
Objective To explore the influences of serotonin transporter promoter region (5-HTTLPR)polymorphism on hypersensitive C-reactive protein(hs-CRP)in patients with depression. Method 5-HTTLPR polymorphism was detected by polymerase chain reactive-restriction fragment length polymorphism(PCR-RFLP)in 103 patients with depression and 103 healthy controls.The severity of depres-sion was evaluated by Hamilton Depression Scale(HAMD).The hs-CRP level was tested by immunofluores-cence.The influence of different genotypes on hs-CRP and the interaction of genotype and hs-CRP on the pathogenesis of depression were analyzed. Results The frequency of genotype and allele in 5-HTTLPR was no statistical significant(P=0.81,0.121)among the three groups.There were statistically significant differ-ences in hs-CRP concentration(P=0.007)among the three genotypes of the study group,and the concentra-tion of hs-CRP in SS genotype((8.1±2.7)mg/L)was significantly higher than that in LS((4.9±1.8)mg/L) and LL genotype((5.2±1.3)mg/L)(P=0.002,0.001).The retardation factor in patients were significantly differences in different genotypes(F=4.637,P=0.033).SS genotype(9.3±3.1)was significantly higher than LL(6.1±2.7)and LS genotypes(5.8±2.1)in retardation factor(P=0.008,0.007).Logistic regression analy-sis showed that SS genotype was associated with hs-CRP.The interactive effect was positive related to the morbidity of depression.The correlation of interaction between SS genotype and hs-CRP was greater than LL/LS(OR=1.890,95%CI=1.011-3.396). Conclusion SS genotype of 5-HTTLPR has strengthen effect on hs-CRP.The interaction of genotype and hs-CRP affects the onset of depression.The interaction of SS geno-type and hs-CRP is more likely to effect the onset of depression.
ABSTRACT
ObjectiveTo explore the electrophysiological mechanisms of the schizophrenic patients with aggressive or violent behaviors.MethodsAccess the aggressive behaviors of schizophrenic patients being treated in hospitals or clinics with the revised MOAS in accordance with the ICD-10 diagnostic criteria,and sort the qualified patients into two groups:the group of aggressive or violent schizophrenia (Aggressive Group,n=70) and the group of non-aggressive or non-violent schizophrenia ( Non-Aggressive Group,n =65 ) ; 60 age- and gendermatched healthy people were collected as Healthy Group.P300 tests were carried out on patients in these three groups with the MEB-9200 Nicolet Bravo Instrument by the Nihon Kohden Corporation.Results ( 1 ) latency P3a of the Aggressive Group on Cz point exceeded that of the Non-Aggressive Group (P =0.01 ),and that of the Non-Aggressive Group exceeded that of the Healthy Group.All these disparities were of statistical significance (P ＜0.01 ).Latency P3a of the Aggressive Group on Fz point exceeds that of the Non-Aggressive Group,and that of the Non-Aggressive Group exceeded that of Healthy Group.All these disparities are also of stafistical significance (P＜0.01).(2)N2' amplitude of the Aggressive Group on Cz point was higher than those of the Non-Aggressive Group and the Healthy Group.This disparity was of statistical significance(P ＜ 0.05 ) and the disparity between the Non-Aggressive Group and the Healthy Group did not have statistical significance (P =0.985 ).ConclusionCharacteristic electrophysiological changes exist in the event-related potentials P300 of schizophrenic patients with aggressive or violent behaviors.
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Objective: To investigate the correlation between stress reaction and other related psychological stress factors such as life events, social support, and coping style in neurosis patients comparing with the group of healthy persons. Methods: 88 neurosis and 100 healthy persons were examined with LES (Life Event Scale), PSSS (Perceived Social Support Scale), TCSQ (Trait Coping Style Questionnaire), SRQ(Stress Reaction Questionnaire). Results: The scores of stress reaction, family events and negative coping style of neurosis group were significantly higher than those of healthy group, and the scores of social support out of family and positive coping style were significantly lower than those of healthy group. The regression analysis and path analysis revealed that in neurosis group stress reaction was directly correlated with negative coping style and social events, but in healthy group it was correlated with negative coping style and family events. Conclusion: Stress reaction may be directly affected with negative coping style and social events in neurosis patients, whereas it may be done with negative coping style and family events in healthy persons.
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Objective: To study the correlation between stress reaction and other psychological stress related factors in medical personnel, such as social support, life events, and coping style. Methods: 556 medical personnel were investigated with PSSS (Perceived Social Support Scale), LES (Life Event Scale), TCSQ (Trait Coping Style Questionnaire) and SRQ (Stress Reaction Questionnaire). Results: Correlation and multiple regression analysis revealed that there were statistically significant links between stress reaction and social support, life events, and coping style. Conclusion: Psychological stress is a multiple correlation system of psychological stress related factors.