Objective To study on the relationship between plasminogen and brain-derived neurotrophic factor(BDNF),and explain the molecular mechanism of depression ,then provide new clew for diagnosis and treatment of depression .Methods The chronic unpredictable mild depression rat mode was established ,then depression symptoms including absence of delight ,the decline of actions and activities ,and weight reduction of rat were tested .The levels of individual plasminogen and BDNF in hippocampus were determined by Western blot .Results The expression of BDNF and plasminogen in depression rat mode and control group was significantly different(P<0 .01) ,and there was a positive correlation between BDNF and plasminogen(r=0 .65 ,P<0 .01) .Accord-ing to the linear-regression analysis ,there was a dependence relationship between them(r2 =0 .423) .The equation of regression was YBDNF=0 .750XPlasminogen +0 .201 .Conclusion Stress could affect the growth and survival of nerve cell ,which lead to the depression behavior of rats ,meanwhile ,the decline of plasminogen and BDNF levels ,the positive correlation between them illustrate that plas-minogen and BDNF take part in the mechanism of depression .

Objective To compare the quality of life ( QOL) in different family life cycle residents and analyze its influencing factors. Methods Based on the stratified cluster sampling,517 married residents from three communities of Dongguan city were chosen to be investigated by a questionnaire on the general status and the MOS health survey (SF-36).The One-Way ANOVA and Multiple Regression Analysis were used to analyze the data. Result There were significant differences on the seven domains of the SF-36 ex-cept of physical pain in different family life cycle residents (P<0.05) . The scores of different domains at the retirement or senior years were the lowest ( ranging from 37.10-59.81) ,and the scores of different domains at the child-bearing period were highest (ranging from 37.10-59.81). The results of Multiple Linear Stepwise Regression showed that the QOL of different family life cycle residents were influenced by some factors. The influencing factors on PCS at the child-bearing period were income (β=1.51) and life events (β=-6.13), while that at the period of families with adolescents were economic income (β=1.81) and age (β=-0.65);that at the period of empty nest were economic income (β=-3.64) and age (β=-0.65);and that at the re-tirement or senior years were unhealthy living habit (β=-15.06),age (β=-0.56) and income (β=3.06). The influencing factors on MCS at the child-bearing period was medical insurance (β=5.86),while that at the period of families with adolescents were medical insurance (β=6.28),education (β=2.32),life events (β=-4.68) and occupation (β=-5.53);that at the period of the empty nest were age (β=-0.61) ,gender (β=-10.35) and chronic disease (β=-8.35);that at the retirement or senior years were age (β=-0.27) , economic income (β=2.55) and unhealthy living habit (β=-6.95) . Conclusion The influencing factors of QOL for different family cycle residents are not conformity with each other. It suggested that in order to im-prove the QOL of residents, the community health service including health education and health promotion should be based on different family life cycle.

ObjectiveTo analyze the quality of life and related factors in patients with depression， and to provide evidence for formulating the corresponding measures to improve the patients' quality of life. MethodsA total of 117 inpatients who met the International Classification of Diseases， tenth edition（ICD-10） for depression were selected in Central People's Hospital of Zhanjiang， Affiliated Hospital of Guangdong Medical University and Guangdong 999 Brain Hospital from November 19， 2018 to September 7， 2019. The values of patients' clinical objective indicators consisted of routine blood test， routine urine examination， blood biochemical tests and blood gas analysis were collected by reviewing their medical records， and all subjects were assessed using Quality of Life Instruments for Chronic Diseases-Depression V2.0 ［QLICD-DE（V2.0）］. Simple correlation analysis was used to explore the correlation between the QLICD-DE （V2.0） scores and various clinical objective indicators， and multiple linear regression was adopted to further screen factors affecting quality of life of patients with depression. ResultsSimple correlation analysis suggested that QLICD-DE （V2.0） total score was positively correlated with total protein and platelet distribution width in patients with depression （r=0.198， 0.281， P<0.05 or 0.01）， and negatively correlated with hematocrit （r=-0.300， P<0.01）. Multiple linear regression analysis showed that albumin-to-globulin ratio and treatment compliance （B=-19.836， -3.711， P<0.05 or 0.01） were influential factors for physical function. Platelet distribution width （B=2.706， P<0.01） was an influential factor for psychological function. Bilirubin （B=-6.375， P<0.05） was an influential factor for social function. Platelet distribution width （B=2.101， P<0.05） was an influencing factor for specific module. The albumin-to-globulin ratio and platelet distribution width （B=-10.653， 2.114， P<0.05 or 0.01） were influencing factors for total score of QLICD-DE （V2.0）. ConclusionTreatment compliance and clinical objective indicators platelet distribution width， bilirubin and albumin-to-globulin ratio may be the influencing factors of quality of life in patients with depression.