Objective To study the effects of macrophage migration inhibitory factor (MIF) on spinal cord injury. Methods C57BL/6 mice with injury at T9 ~T10 were taken as spinal cord injury ( SCI) model, and they were divided into the operated group and the sham oper-ated group. Immunohistochemistry was used to detect expression changes of MIF during 72 hours after operation. Reverse transcriptase-poly-merase chain reaction ( RT-PCR) was used to test changes of mRNA level. And double staining immunofluorescence techniques was used to show expressions of MIF and RhoA. Results Expression of MIF at acute stage (72 hours after injury) increased significantly. Results of RT-PCR showed that mRNA levels of MIF and RhoA both increased. There were statistical differences between the two groups (P<0. 05). Con-clusion In acute stage after SCI, MIF increased in the activated microglia. MIF accumulated in oligodendrocyte-like and astrocyte-like cells in injured spinal cord, which might contribute to inhibitory environment for regeneration. Moreover, mRNA level of MIF raised with the in-crease of RhoA mRNA level, which indicated the potential inhibition of MIF to axonal regeneration in CNS.

Objective: To explore incidence trend of hepatitis C in Chifeng City, Inner Mongolia Autonomous Region from 2008 to 2022, so as to provide the basis for formulating prevention and control measures for hepatitis C. Methods: Data of reported hepatitis C cases in Chifeng City from 2008 to 2022 was collected through the Infectious Disease Information Reporting Management System. Trends in incidence of hepatitis C were analyzed using annual percent change (APC) and average annual percent change (AAPC). Impact of age, period and birth cohort on the risk of developing hepatitis C were analyzed by an age-period-cohort model. Results: The annual average reported incidence rate of hepatitis C in Chifeng City was 59.13/105 from 2008 to 2022. The incidence showed an upward trend from 2008 to 2018 (APC=9.405%, P<0.05) and a downward trend from 2018 to 2022 (APC=-17.475%, P<0.05), but the overall trend was not statistically significant (AAPC=0.937%, P>0.05). The age-period-cohort model analysis showed that the incidence risks of hepatitis C in the residents aged 0 to 4 years and 45 to 84 years were higher than those in the residents aged 40 to 44 years (the control group). The incidence risk of hepatitis C increased with age from 40 to 79 years. Compared with 2008-2012, the incidence risk of hepatitis C showed an increasing trend followed by a decline in 2008-2022. The incidence risk was higher in 2013-2017 and lower in 2018-2022 than in 2008-2012. The incidence risk of hepatitis C showed an increasing trend followed by a decreasing trend by using the birth cohort from 1968 to 1972 as the control. The birth cohort from 1953 to 1977 had a higher incidence risk of hepatitis C than other birth cohorts. Conclusions The overall incidence of hepatitis C in Chifeng City from 2008 to 2022 appeared a tendency towards a decline, and the incidence risk increased with age. Screening and health education for the elderly and high-risk birth cohorts should be strengthened.

ObjectiveTo explore the effects of anxiety and depression on Internet gaming disorder in medical students， and to evaluate the moderating effect of gender， so as to provide references for the prevention and intervention of Internet gaming disorder in medical students. MethodsIn November 2021， a total of 11 771 medical students from a medical college in Sichuan province participated in an online survey through Wenjuanxing platform. Participants completed the Self-rating Anxiety Scale （SAS）， Self-rating Depression Scale （SDS） and the nine-item Internet Gaming Disorder Scale-Short Form （IGDS9-SF）. Then a hierarchical multiple regression analysis was conducted to discuss the moderating role of gender in the relationships between anxiety， depression and Internet gaming disorder in medical students. Results①Males scored lower on SDS （t=-8.302， P<0.01）， and higher on IGDS9-SF than females （t=33.384， P<0.01）. ②SAS score of medical students was positively correlated with SDS score （r=0.735， P<0.01）， SAS and SDS scores were positively correlated with IGDS9-SF score in medical students （r=0.288， 0.238， P<0.01）. ③Anxiety and depression could positively predict Internet gaming disorder （β=0.245， 0.058， t=18.864， 4.444， P<0.01）. ④Gender played a moderating effect between anxiety and Internet gaming disorder （β=-0.194， t=-4.518， P<0.01）. ConclusionAnxiety and depression have a positive predictive effect on Internet gaming disorder in medical students. Furthermore， the effects of anxiety on Internet gaming disorder are moderated by gender， and the anxiety of male students exhibits a markedly stronger impact on Internet gaming disorder than that of female students.