1.Research progress on role and mechanism of PA28γ in immune-related diseases
Chongying SU ; Jialu NIU ; Junjie GU ; Jing LI
Chinese Journal of Immunology 2024;40(1):192-201
Proteasome activator PA28γ,also known as Ki antigen,REGγ or PSME3,is first found as Ki antigen in the serum of a patient with systemic lupus erythematosus,which belongs to 11S proteasome activator family together with PA28α and PA28β.In the amino acid sequence,PA28γ has 25%homology with PA28α and PA28β and its seven-subunit homomer is a 20S proteasome acti-vator,which mainly exists in the nucleus and participates in ubiquitin and ATP-dependent or independent protein degradation.More and more studies have reported the role of PA28γ in human immune-related diseases.This article reviews the function of PA28γ as a proteasome activator and its role in immune-related diseases including cancer,inflammation and virus infection-related diseases and other diseases in recent years,so as to reveal the role of PA28γ in the occurrence and development of immune-related diseases and its potential as a target for immunotherapy.
2.Efficient generation of mouse ESCs-like pig induced pluripotent stem cells.
Qi GU ; Jie HAO ; Tang HAI ; Jianyu WANG ; Yundan JIA ; Qingran KONG ; Juan WANG ; Chunjing FENG ; Binghua XUE ; Bingteng XIE ; Shichao LIU ; Jinyu LI ; Yilong HE ; Jialu SUN ; Lei LIU ; Liu WANG ; Zhonghua LIU ; Qi ZHOU
Protein & Cell 2014;5(5):338-342
3.Analysis of language development characteristics and influencing factors in children with attention deficit hyperactivity disorder
Lijun ZHOU ; Nan PENG ; Minjun LI ; Xia QU ; Jialu GU ; Qi XU ; Jianhong WANG ; Bo ZHOU ; Lili ZHANG ; Lin WANG
Chinese Journal of Preventive Medicine 2024;58(3):292-297
Objective:To explore and analyze the characteristics and influencing factors of language development in children with attention deficit hyperactivity disorder (ADHD).Methods:A case-control study was used, from May 2021 to August 2023, patients diagnosed with attention deficit hyperactivity disorder (ADHD) were enrolled in the mental health clinic of the Children′s Hospital Affiliated to the Capital Institute of Pediatrics. The language ability of 272 children with ADHD and 117 healthy children who underwent physical examination in children′s health center during the same period were tested by Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), and the development levels of total language, receptive, expressive, semantics and syntax of the two groups were compared by independent sample t-test. The influential factors of language lag in children with ADHD were analyzed by univariate χ2 analysis and multiple logistic regression. Results:There were 272 children with ADHD, including 206 males and 66 females, with an age range of 6-8 (7.29±1.17) years. While in the control group, there were 117 healthy children, including 91 males and 26 females, with an age range of 6-8 (7.02±0.82) years. The average scores of total language, expressive and syntax of ADHD children were lower than those of healthy children [(92.73±12.47/96.36±11.04), t=-2.857, P<0.05; (84.49±13.24/87.78±15.25), t=-2.029, P<0.05; (87.93±10.26/90.27±11.05), t=2.022, P<0.05]. Univariate χ2 analysis showed that disharmonious family relationship ( χ2=4.183, P<0.05), the main caregivers were non-parents ( χ2=9.121, P<0.05), early screen exposure ( χ2=3.889, P<0.05), ADHD family history ( χ2=5.423, P<0.05) were influential factors of language development lag in ADHD children. The results of multivariate logistic regression model analysis showed that cesarean section ( OR=2.137, 95% CI: 1.078-4.379, P=0.030), disharmonious family relationship ( OR=2.659, 95% CI: 1.178-5.999, P=0.019), early screen exposure ( OR=3.556, 95% CI: 1.127-11.213, P=0.030), ADHD family history ( OR=1.959, 95% CI: 1.058-3.630, P=0.033) were risk factors for comorbidities of language development in children with ADHD. Conclusion:The total language ability, expressive and syntax scores of ADHD children lag behind those of healthy children. The delayed language development of ADHD children is related to delivery mode, family relationship, the main caregivers, early screen exposure, family history of ADHD.
4.Analysis of language development characteristics and influencing factors in children with attention deficit hyperactivity disorder
Lijun ZHOU ; Nan PENG ; Minjun LI ; Xia QU ; Jialu GU ; Qi XU ; Jianhong WANG ; Bo ZHOU ; Lili ZHANG ; Lin WANG
Chinese Journal of Preventive Medicine 2024;58(3):292-297
Objective:To explore and analyze the characteristics and influencing factors of language development in children with attention deficit hyperactivity disorder (ADHD).Methods:A case-control study was used, from May 2021 to August 2023, patients diagnosed with attention deficit hyperactivity disorder (ADHD) were enrolled in the mental health clinic of the Children′s Hospital Affiliated to the Capital Institute of Pediatrics. The language ability of 272 children with ADHD and 117 healthy children who underwent physical examination in children′s health center during the same period were tested by Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), and the development levels of total language, receptive, expressive, semantics and syntax of the two groups were compared by independent sample t-test. The influential factors of language lag in children with ADHD were analyzed by univariate χ2 analysis and multiple logistic regression. Results:There were 272 children with ADHD, including 206 males and 66 females, with an age range of 6-8 (7.29±1.17) years. While in the control group, there were 117 healthy children, including 91 males and 26 females, with an age range of 6-8 (7.02±0.82) years. The average scores of total language, expressive and syntax of ADHD children were lower than those of healthy children [(92.73±12.47/96.36±11.04), t=-2.857, P<0.05; (84.49±13.24/87.78±15.25), t=-2.029, P<0.05; (87.93±10.26/90.27±11.05), t=2.022, P<0.05]. Univariate χ2 analysis showed that disharmonious family relationship ( χ2=4.183, P<0.05), the main caregivers were non-parents ( χ2=9.121, P<0.05), early screen exposure ( χ2=3.889, P<0.05), ADHD family history ( χ2=5.423, P<0.05) were influential factors of language development lag in ADHD children. The results of multivariate logistic regression model analysis showed that cesarean section ( OR=2.137, 95% CI: 1.078-4.379, P=0.030), disharmonious family relationship ( OR=2.659, 95% CI: 1.178-5.999, P=0.019), early screen exposure ( OR=3.556, 95% CI: 1.127-11.213, P=0.030), ADHD family history ( OR=1.959, 95% CI: 1.058-3.630, P=0.033) were risk factors for comorbidities of language development in children with ADHD. Conclusion:The total language ability, expressive and syntax scores of ADHD children lag behind those of healthy children. The delayed language development of ADHD children is related to delivery mode, family relationship, the main caregivers, early screen exposure, family history of ADHD.