1.Structural Equation Analysis to the Attribution of Responsibility and Aggressive Retaliation
Chinese Journal of Clinical Psychology 2001;0(03):-
Objective:This research integrated the attribution of responsibility and aggressive retaliation to find their relationship. Methods: 204 subjects attended this experiment, and two structural equation models that reflect the relationship among intentional attribution, affect, responsibility and aggressive retaliation were set up. EQS was used to test the models. Results: The data fitted both Weiner's model and ours well, which suggested that intentional attribution contributed to the judgment of responsibility and the response of affects, and then linked with the retaliation action. And in this process, judgment of responsibility and the response of affects were two media variables that had two-way interrelationship. Conclusion:A general model suggested here was:intentional attribution →judgment of responsibility, affect response →aggressive retaliation.
2.Mechanism of TRIM27 promoting inflammatory response in lung cancer cells
Enjiu CHEN ; Sheng CHEN ; Fanglian ZHOU
Chinese Journal of Oncology 2021;43(10):1076-1081
Objective:To investigate the mechanism of tripartite motif-containing 27 (TRIM27) expression promoting inflammatory response in non-small lung cancer cells.Methods:Ten cases of lung cancer tissues and their matched normal tissue (the distance was 5 cm of the tumor marginal) from patients underwent resection in the People′s Hospital of Pingyang Hospital Affiliated to Wenzhou Medical University were collected. The expression of TRIM27 was identified by using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot. TRIM27 knockdown experiment included negative control (NC TRIM27) group, TRIM27 short interfering RNA (siRNA) group, NC TRIM27+ TNF-α group and TRIM27 siRNA+ TNF-α group. Interlukin-6 (IL-6) knockdown experiment included NC IL-6 group and IL-6 siRNA group. The protein expressions of TRIM27, TNFR1, TNFR2 and some TNFR related inflammation factors were verified by qRT-PCR and WB. Results:The expression levels of TRIM27 in NSCLC tissues of different stages (stage Ⅰ: 2.81±0.58, stage Ⅱ: 3.32±1.38, stage Ⅲ: 3.67±1.24) was higher than that in the adjacent normal tissues (1.01±0.15, 0.92±0.10 and 1.05±0.12, P<0.05). The expression levels of TRIM27 mRNA in NC TRIM27 group and NC TRIM27+ TNF-α group were 0.94±0.12 and 1.67±0.03, and the expression levels of TRIM27 protein were 0.31±0.02 and 0.38±0.01, respectively ( P<0.05). The expression levels of IL-6 mRNA in NC TRIM27+ TNF-α group and TRIM27 siRNA+ TNF-α group were 11.35±0.12 and 5.62±0.15, respectively, and the expression levels of VCAM-1 mRNA were 18.75±0.17 and 9.35±0.11, respectively. STAT3 mRNA expression levels were 16.54±0.10 and 8.12±0.10, respectively, with statistical significance ( P<0.05). The expression levels of IL-6 mRNA in NC IL-6 group and IL-6 siRNA group were 1.10±0.07 and 0.52±0.16, respectively, and the expression levels of STAT3 mRNA were 1.01±0.01 and 0.48±0.12, respectively. The expression levels of TRIM27 mRNA were 1.03±0.01 and 0.30±0.11, respectively, with statistical significance ( P<0.05). Conclusion:The upregulation of TRIM27 in NSCLC tissue and cells promotes the expression of TNF-α, and may activate inflammatory response by regulating TNF-α-induced IL-6/STAT3 signaling pathway.
3.Mechanism of TRIM27 promoting inflammatory response in lung cancer cells
Enjiu CHEN ; Sheng CHEN ; Fanglian ZHOU
Chinese Journal of Oncology 2021;43(10):1076-1081
Objective:To investigate the mechanism of tripartite motif-containing 27 (TRIM27) expression promoting inflammatory response in non-small lung cancer cells.Methods:Ten cases of lung cancer tissues and their matched normal tissue (the distance was 5 cm of the tumor marginal) from patients underwent resection in the People′s Hospital of Pingyang Hospital Affiliated to Wenzhou Medical University were collected. The expression of TRIM27 was identified by using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot. TRIM27 knockdown experiment included negative control (NC TRIM27) group, TRIM27 short interfering RNA (siRNA) group, NC TRIM27+ TNF-α group and TRIM27 siRNA+ TNF-α group. Interlukin-6 (IL-6) knockdown experiment included NC IL-6 group and IL-6 siRNA group. The protein expressions of TRIM27, TNFR1, TNFR2 and some TNFR related inflammation factors were verified by qRT-PCR and WB. Results:The expression levels of TRIM27 in NSCLC tissues of different stages (stage Ⅰ: 2.81±0.58, stage Ⅱ: 3.32±1.38, stage Ⅲ: 3.67±1.24) was higher than that in the adjacent normal tissues (1.01±0.15, 0.92±0.10 and 1.05±0.12, P<0.05). The expression levels of TRIM27 mRNA in NC TRIM27 group and NC TRIM27+ TNF-α group were 0.94±0.12 and 1.67±0.03, and the expression levels of TRIM27 protein were 0.31±0.02 and 0.38±0.01, respectively ( P<0.05). The expression levels of IL-6 mRNA in NC TRIM27+ TNF-α group and TRIM27 siRNA+ TNF-α group were 11.35±0.12 and 5.62±0.15, respectively, and the expression levels of VCAM-1 mRNA were 18.75±0.17 and 9.35±0.11, respectively. STAT3 mRNA expression levels were 16.54±0.10 and 8.12±0.10, respectively, with statistical significance ( P<0.05). The expression levels of IL-6 mRNA in NC IL-6 group and IL-6 siRNA group were 1.10±0.07 and 0.52±0.16, respectively, and the expression levels of STAT3 mRNA were 1.01±0.01 and 0.48±0.12, respectively. The expression levels of TRIM27 mRNA were 1.03±0.01 and 0.30±0.11, respectively, with statistical significance ( P<0.05). Conclusion:The upregulation of TRIM27 in NSCLC tissue and cells promotes the expression of TNF-α, and may activate inflammatory response by regulating TNF-α-induced IL-6/STAT3 signaling pathway.
4.Analysis of changes in the disease spectrum and disease patterns of the entire population and elderly hospitalized patients in Tianjin between 2018 and 2020
Han GAO ; Dai LI ; Shishuang ZHANG ; Lin ZHANG ; Lan ZHANG ; Zhaoli HAN ; Pengfei SUN ; Xin ZHOU ; Fanglian CHEN ; Ping LEI
Chinese Journal of Geriatrics 2024;43(10):1315-1320
Objective:To understand residents' health status and disease characteristics by analyzing the disease spectrum and disease patterns of the entire population and elderly hospitalized patients in Tianjin between 2018 and 2020, thus providing scientific evidence for disease prevention and treatment.Methods:Information on the first page of inpatient medical records from 77 secondary or higher-level hospitals was provided by the Tianjin Health and Medical Big Data Platform.The codes of the International Classification of Diseases 10th revision(ICD-10)were used by the system for standardized diagnoses at hospital discharge.The disease spectrum of inpatients was analyzed based on the systems implicated by diseases.Age stratification was performed in examining changes in the orders of diseases across the spectrum.Results:Between 2018 and 2020, a total of 3 568 034 patients were discharged, with 1 204 733 in 2018, 1 372 747 in 2019, and 990 554 in 2020.Male patients accounted for 49.2%(1 756 867/3 568 034), elderly patients(65 years or older)accounted for 33.5%(1 194 189/3 568 034), and patients from tertiary hospitals accounted for 86.5%(3 085 482/3 568 034).According to the ICD-10, there were 19 categories of diseases when diagnoses at discharge were considered.Over the three-years period, the top ten diseases made up 81.1%(2 893 430/3 568 034)of all cases at discharge, with high consistency in their rankings(harmonic index value Wa=0.986, χ2=70.989, P<0.001).The circulatory system and the nervous system always occupied the top two positions, while the respiratory system decreased from third to seventh place in 2020.The rankings of factors affecting health and healthcare access increased.The circulatory system, nervous system, respiratory system, digestive system, and tumors consistently ranked among the top six categories in the disease spectrum of the elderly and the rankings of diseases related to the eye, ear, endocrine system, musculoskeletal system, and connective tissue system were also up compared to those of the entire population. Conclusions:Hospitalized patients are concentrated in tertiary hospitals, with a relatively high proportion of elderly patients.In the disease spectrum, circulatory system diseases, neurological system diseases, digestive system diseases, tumors, and respiratory system diseases have always been at the top of the list for medical treatment, both for the entire population and for elderly patients, with a significant decrease in the ranking of respiratory system diseases in 2020.The rankings of eye, ear, endocrine, musculoskeletal, and connective tissue diseases in elderly patients have increased compared to the entire population, indicating a need to step up the development of geriatric medicine and related specialties and the importance to promote the healthy China initiative and healthy aging.