1.A Study on Respiratory Impedance of Patients with Obstructive Sleep Apnea-hypopnea Syndrome
Liqi TIAN ; Mei CAO ; Jinhui KUANG
Journal of Chinese Physician 2001;0(02):-
Objective To investigate the characteristics of respiratory impedance in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS). Methods The impulse oscillometry(IOS) and polysomnography (PSG) indices were measured in 52 patients with OSAHS, 13 patients with chronic obstructive pulmonary disease (COPD) and 17 healthy persons. Results The levels of R20, total respiratory impedence and central airway resistance in the patients with OSAHS were significantly higher than those in healthy persons (P
2.Expression and diagnostic significance of DOG1, CD117 and CD34 in gastrointestinal stromal tumors
Liping KUANG ; Xiaofen ZHAN ; Jinhui SHEN ; Shaohong WANG
Journal of Chinese Physician 2013;15(11):1482-1484
Objective To investigate the expression and diagnostic significance of DOG1,CD117and CD34 in gastrointestinal stromal tumors.Methods Expressions of DOG1,CD117 and CD34 were determined by immunohistochemical techniques (EnVision) in 60 cases of gastrointestinal stromal tumors (GIST) and 14 cases of other mesenchymal tumors.Results Expression of DOG1 in GIST was significantly higher than in other mesenchymal tumors (P =0.000).Expression of DOG1 in GIST from stomach was significantly higher than that from intestines.The expression rates of DOG1,CD117 and CD34 in GIST were 95%,95%,and 83.3%,respectively.Expression of DOG1 was significantly higher than CD34 (P =0.040),but no significant difference between DOG1 and CD117 (P =1.000).The expression rates of DOG1 in CD117-positive,CD34-positive tumors were 94.7% and 94.1%,respectively.All the CD117-negative,CD34-negative tumors expressed DOG1,3 cases which were negative for CD117 and CD34 expressed DOG1.Conclusions DOG1 is a novel marker for GIST,It is necessary to the combined detection of the expression of DOG1,CD117 and CD34,which will further improve the diagnostic accuracy of GIST.
3.Associations between abnormal electroencephalogram microstates and childhood emotional abuse in adolescent depression
Jinhui HU ; Dongdong ZHOU ; Lin ZHAO ; Lingli MA ; Xinyu PENG ; Xiaoqing HE ; Ran CHEN ; Wanjun CHEN ; Zhenghao JIANG ; Li KUANG ; Wo WANG
Journal of Central South University(Medical Sciences) 2023;48(11):1678-1685
Objective:Childhood traumatic experiences greatly influenced the brain network activities of patients with depression,and there is an urgent need to explore the temporal dynamics for these changes.This study aims to investigate the abnormalities of resting-state electroencephalogram(EEG)microstates in eye-open state of depressed adolescents and to explore the correlations between their EEG microstates and the childhood traumatic experience. Methods:Using resting-state EEG microstate analysis,we explored the temporal dynamics of brain activity in patients with adolescent depression.This study selected 66 adolescents with depression as a patient group,and 27 healthy adolescents as a healthy control group.A modified k-means clustering algorithm was used to classify the 64-channel resting-state EEG data into different microstates.Independent sample t-tests were used to compare the microstate parameters between the 2 groups and further assciations between these parameters and childhood traumatic experience in patients were explored via using Spearman correlation. Results:In this study,significant differences were observed in the occurrence and transition probabilities of EEG microstates between the healthy control and the patient group.Notably,there was a statistically significant difference(P<0.05)in the occurrence of microstate A across 2 groups,exhibiting a negative correlation with the emotional abuse component within the childhood trauma scores(Spearman's rho=-0.31,P=0.013).Furthermore,patient-specific,non-random transitions from microstate B to A(Spearman's rho=-0.30,P=0.015)and C to A(Spearman's rho=-0.31,P=0.013)were inversely associated with the scores of emotional abuse factors from childhood trauma in the patient group,showing statistically significant differences when comparing to the healthy controls(P<0.05).Upon stratification into quartiles based on the emotional abuse factor scores,the occurrence of microstate A,as well as the transition rates from microstates B to A and C to A,retained statistical significance following adjustment for multiple comparisons(all P<0.05). Conclusion:The abnormal temporal dynamics in brain networks of adolescents with depression are linked to childhood emotional abuse.Those who have suffered severe emotional abuse may show greater impairments in the brain's visual and central executive networks.EEG microstate analysis could be a potential tool for detecting adolescent depression with severe childhood trauma.