Objective:To develop a biomimetic nanoparticle probe of hematoporphyrin monomethyl ether (HMME) coated with breast cancer cell membrane, to observe its ability to target homologous breast cancer cells in vitro, and to investigate its effect of enhanced photoacoustic imaging and sonodynamic therapy (SDT) for breast cancer in vitro.Methods:The cell membrane of breast cancer 4T1 was extracted by chemical cleavage and repeated freezing and thawing. Then the HMME-coated polylactic acid-glycolic acid copolymer biomimetic nanoparticle was prepared by double emulsification and extrusion. The basic characteristics of nanoparticles were detected. The target ability of nanoparticles to homologous breast cancer cells and the enhancement of photoacoustic imaging were observed in vitro. Singlet oxygen sensor green (SOSG) was used to verify the reactive oxygen species (ROS) production of nanoparticles, and its SDT effect on breast cancer cells was evaluated by CCK8 cytotoxicity assay.Results:The size of the prepared CHP-NPs was uniform, the morphology was spherical "core-shell structure" , the particle size was (275.23±8.25)nm, and the surface potential was (-18.43±0.45)mV. It was observed that CHP-NPs could target homologous 4T1 cells under laser confocal microscopy. In vitro photoacoustic imaging experiments show that the photoacoustic signal of nanoparticles increases with the increase of its concentration. According to SOSG probe detection, CHP-NPs could produce ROS under ultrasonic irradiation.When CHP-NPs was incubated with 4T1 cells alone and no ultrasonic irradiation was used, the cell survival rate was not significantly affected. When the concentration was 0.6 mg/ml, the cell survival rate was still 95%. After ultrasonic irradiation, CCK8 experiment showed that the CHP-NPs had a significant SDT effect on breast cancer cells.Conclusions:The biomimetic nanomolecular probe of breast cancer cell membrane is successfully prepared. The probe has good ability to target homologous tumor, and can significantly enhance tumor photoacoustic imaging and SDT effect.

Objective To explore the impairment of attention network function in male patients with alcohol use disorder(AUD) and the main influencing factors of attention network function. Methods Forty-one patients with AUD after withdrawal therapy and 34 healthy controls (HC) matched with their demograph-ic data were selected as subjects of study. Attention function were assessed by attention network test (ANT). Results Compared with the healthy control group((30. 62±19. 74)ms,(98. 59±1. 46)%),there were sig-nificant differences in the reaction time of alerting network(t=-2. 479,P=0. 015) and the correct rate of the attention network test(t=-2. 074,P=0. 044) in the AUD group((17. 02±26. 42)ms,( 95. 07±10. 73)%). Pearson correlation analysis showed the alert network of AUD was negatively correlated with the age of first drinking(r=-0. 316,P=0. 044) and was positively correlated with the score of Penn alcohol craving scale (PACS) (r=0. 364,P=0. 019). The correct rate of attention network function in patients with AUD was negatively correlated with the years for education ( r=-0. 343, P=0. 028) and years for addiction ( r=-0. 337,P=0. 031). Linear regression analysis showed the attention network function of AUD patients was affected by the age of first drinking(β=0. 432,t=2. 079,P=0. 046),the years for addiction(β=-0. 555,t=-3. 127,P=0. 004) and years for uncontrol drinking(β=0. 309,t=2. 074,P=0. 047). Conclusion The AUD patients were demonstrated deficit in the alerting network. The impairment of attention function of AUD patients were influenced by their drinking condition.

Objective To explore the role of impulsivity in manic episodes of bipolar I disorder and cognitive impairment. Methods Sixty-one patients with bipolar I manic-episode ( study group) and 43 healthy volunteers (control group) were included in the study,and the cognitive function and impulsivity of the subjects were assessed using the MATRICS consensus cognitive battery (MCCB) and BIS-11 impulsivity scale (BIS-11). The differences in impulsivity and cognitive function between the study group and control group were compared. Partial correlation analysis was used to analyze the correlation between impulsivity and cognitive function in patients with bipolar I manic episode. Results ( 1) The scores of several cognitive function in study group,were significantly lower than those in healthy control group including information pro-cessing speed,attention alertness,word learning,visual learning,working memory,reasoning and problem sol-ving (all P<0. 01). (2)The total score,motor factor score and cognitive factor score of BIS-11 impulse scale in study group were significantly higher than those in control group (58. 39±15. 77 vs 48. 02±11. 16,62. 09± 19. 01 vs 44. 24±21. 09,56. 97±16. 57 vs 50. 06±13. 87,all P<0. 05). Increased overall scores on the bis-11 impulse inventory may be a risk factor for bipolar I episodes( OR=1. 204,95% CI=1. 032-1. 404). (3) In study group,the total score of BIS-11 was negatively correlated with the speed of information processing, working memory,word learning,reasoning and problem solving,and the total score of MCCB(r=-0. 417,-0. 360,-0. 294,-0. 348,-0. 348,P<0. 05). The score of unplanned factor was negatively correlated with the speed of information processing,word learning,the total score of MCCB(r=-0. 397,-0. 302,-0. 358,P<0. 05). The score of cognitive factor was negatively correlated with the speed of information processing,work-ing memory,word learning,reasoning and problem solving,and the total score of MCCB(r=-0. 327,-0. 351,-0. 374,-0. 391,-0. 463,P<0. 05). The score of motor factor was negatively correlated with working memo-ry and the total score of MCCB(r=0. 370,r=0. 389,P<0. 05). Conclusion High impulsivity is a risk factor for manic episodes of bipolar I disorder and may be associated with cognitive impairment in patients with ma-nic episodes of bipolar I disorder.

OBJECTIVETo investigate the association of TNF-β 252A >G variant with the risk of non-small cell lung cancer (NSCLC).

METHODSTotal 956 patients with NSCLC were recruited between January 2000 and December 2008 at Cancer Hospital, Chinese Academy of Medical Science as the case group, and 994 frequency-matched controls were randomly selected from a pool of cancer-free subjects recruited from a nutritional group. All the participants were unrelated Han Chinese. There were no age, gender restrictions. Smoking status of the subjects was surveyed. Informed consent was obtained and 3 ml peripheral blood was collected from each subject. All samples were genotyped by polymerase chain reaction-restriction fragment length polymorphism method (PCR-RFLP). The OR and 95%CI were estimated by logistic regression to evaluate the relationship between TNF-β 252 A/G variant and the risk of lung cancer.

RESULTSThe frequencies of TNF-β 252 AA, AG and GG genotype were 30.9% (307/994) , 47.4% (471/994) and 21.7% (216/994) in lung cancer cases and 35.7% (341/956) , 48.1% (460/956) and 16.2% (155/956) in controls. Logistic regression analysis revealed that TNF-β 252 GG genotype contributed to a decreased risk of developing NSCLC (OR = 0.64, 95%CI: 0.49-0.83) compared with AA genotype. When stratified by smoking status, the individuals with 252 GG genotype had a significant increased risk of NSCLC (OR = 1.54, 95%CI:1.00-2.39) among smokers; which was less than those with AA genotype among smokers (OR = 2.88, 95%CI:1.91-2.24). When further stratified by smoking index, individuals with 252 GG genotype had a significant decreased risk of NSCLC among heavy smokers with OR (95%CI) of 2.24 (1.33-3.74), which was less than those with AA genotype (OR = 4.62, 95%CI:2.88-7.41).

CONCLUSIONTNF-β genetic variant may interact with environment factor to contribute to the susceptibility to NSCLC.

Asian Continental Ancestry Group ; Carcinoma, Non-Small-Cell Lung ; Case-Control Studies ; China ; Genetic Predisposition to Disease ; Genotype ; Humans ; Lung Neoplasms ; Lymphotoxin-alpha ; Polymerase Chain Reaction ; Polymorphism, Restriction Fragment Length ; Risk ; Risk Factors ; Smoking