Objective:To investigate the effects of GnRH agonist on the expressions of FSHR proteins in pituitary and ovaries in ewes,also to analyse the bioinformatics characteristics of ovine pituitary FSHR.Methods: Forty-two prepubertal ewes (Ovis aries) were randomly assigned to six groups (n=7).The ewes in experimental group EG-Ⅰ,EG-Ⅱand EG-Ⅲwere subcutaneously injected with 200μg,300μg and 400 μg alarelin antigens twice (at day 0 and 14),respectively.Ewes in EG-Ⅳand EG-Ⅴwere injected sub-cutaneously with 200μg and 300μg alarelin antigen four times (at day 0,7,14 and 21),respectively.Ewes in the control group (CG) were subcutaneously injected with 2.0 ml solvent twice (at day 0 and 14).Fluorescence quantitative RT-PCR was used to detect gene expression of FSHR in pituitary glands.The expression of FSHR protein in the ovaries was detected using Western blot.Results:The 2-ΔΔCt values of GnRHR,FSHR and LHR mRNAs in the pituitary gland of EG were lower than that in control group (CG).The 2-ΔΔCt values in EG-Ⅳ( P<0.05 ) and EG-Ⅴ( P<0.05 ) were lower than those in EG-Ⅰand EG-Ⅱ.Expressions of FSHR proteins in EG ovaries increased.Levels of FSHR proteins in EG-Ⅳand EG-Ⅴ( P<0.05 ) were higher than CG.The length of sheep FSHR sequence of nucleotides were 1 091 bp,the homology of FSHR sequences was 100% with that reported in NCBI.The theory isoelectric point , half-life,unstable index,fat index,hydrophobic average were respectively 1.2 h,5.05,47.75,0.836 and 30.61.Conclusion:Alarelin active immunization can inhibit the expression of FSHR mRNA in the pituitary gland ,but increase FSHR expression in ovarian of ewes.FSHR is an unstable hydrophobic protein.

BackgroundSuicidal ideation serves as a sensitive predictive indicator for non-suicidal self-injury （NSSI） behavior， and NSSI behavior brings profound effects to both mental and physical health of senior high school students. Existing studies have made exploration on the relationship among insomnia， anxiety and NSSI behavior in the general population， but the internal mechanism of NSSI behavior in senior high school students with suicidal ideation requires further study. ObjectiveTo explore the pathway of anxiety between insomnia and NSSI behavior in senior high school students， so as to provide references for the intervention on NSSI behavior in such demographic. MethodsFrom December 10 to 15， 2021， cluster sampling was adopted to select 2 572 senior high school students across three senior high schools in Hubei Province as the research objects. Assessment was conducted by using Insomnia Severity Index （ISI）， Generalized Anxiety Disorder Scale-7 item （GAD-7） and Adolescents Self-Harm Scale. Spearman correlation analysis was conducted to examine the correlation among scores of scales finished by senior high school students with suicidal ideation. Model 4 from the SPSS 20.0 Process 4.2 was employed to test the mediating path of anxiety between insomnia and NSSI behavior. ResultsA total of 2 421 valid questionnaires （94.13%） were recovered， which revealed 554 cases （22.88%） with suicidal ideation and 408 cases （16.85%） with NSSI behavior. The scores of ISI， GAD-7 and Adolescents Self-Harm Scale of senior high school students with suicidal ideation were higher than those of students without suicidal ideation （Z=17.124， 20.611， 21.314， P<0.01）. As correlation analysis showed， the ISI score of senior high school students with suicidal ideation was positively correlated with scores of GAD-7 and Adolescents Self-Harm Scale （r=0.646， 0.354， P<0.01）， and GAD-7 score was positively correlated with the score of Adolescents Self-Harm Scale （r=0.375， P<0.01）. Among senior high school students with suicide ideation， anxiety acted in a mediating role between insomnia and NSSI behavior， with effect value of 0.111 （95% CI： 0.053~0.185）， accounting for 53.88% of the total effect. ConclusionInsomnia of senior high school students with suicidal ideation can not only directly affect NSSI behavior， but also indirectly affect NSSI behavior through anxiety. ［Funded by Research Project of Jingzhou Science and Technology Innovation Think Tank in 2022 （number， JZCXZK202209）］