OBJECTIVE To investigate the effects of loganin on inflammatory response and intestinal barrier damage in septic rats by regulating the Ras homolog gene family member A （RhoA）/Rho-associated coiled-coil forming protein kinase 1 （ROCK1） signaling pathway. METHODS A sepsis rat model was established by cecal ligation and puncture， and randomly divided into sepsis group， loganin low-dose group （50 mg/kg loganin， gavage）， loganin high-dose group （200 mg/kg loganin， gavage）， positive control group （0.2 mg/kg atorvastatin， intraperitoneal injection）， and loganin high-dose + lysophosphatidic acid （LPA） group （200 mg/kg loganin gavage and intraperitoneal injection of 10 mg/kg RohA activator LPA）. An additional sham surgery group was established. Each group consisted of 10 rats， and medications were administered once every 6 hours for 4 times. After 24 hours of the last intervention， the levels of serum inflammatory factors interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and IL-1β were detected. The pathological changes of ileal tissue were observed and Chiu’s intestinal mucosal injury score was also performed. The levels of intestinal function-lactate dehydrogenase （D-lactate）， D-amino acid oxidase （DAO） and endotoxin， the percentages of zonula occludens-1 protein （ZO-1） and Occludin positive staining area， as well as protein expressions of RhoA， and ROCK1 were all detected. com RESULTS Compared with the sepsis group， the percentages of ZO-1 and Occludin positive areas increased significantly in loganin low-dose and high-dose groups； while the levels of IL-6， TNF-α， IL-1β， DAO， D-lactate and endotoxin， Chiu’s intestinal mucosal injury score as well as protein expressions of RhoA and ROCK1 decreased significantly （P＜0.05）； the destruction of rat ileal tissue was alleviated， and tissue edema and inflammatory infiltration were significantly reduced； moreover， the improvement effect in loganin high-dose group was superior to that in loganin low-dose group （P＜0.05）. Compared with loganin high-dose group， RhoA activator LPA reversed the trend of changes in the above indicators （P＜0.05）. CONCLUSIONS Loganin can alleviate inflammatory response and intestinal barrier damage in septic rats， the mechanism of which may be associated with inhibiting RhoA/ROCK1 signaling pathway.

Objective:To compare the differences in clinical characteristics among the patients at clinical high risk for bipolar disorder(CHR-BD),the patients with bipolar disorder(BD),and the healthy controls(HC)at low risk,and to provide the basis for the diognasis and treatment of CHR-BD.Methods:For the first time,the BD risk criteria and prospective structured assessment tools were jointly used in outpatients aged 16-30 years,and 43 CHR-BD patients were included to ensure the accuracy of the assessment.Meanwhile,33 BD patients and 32 HC subjects were also enrolled.The clinical symptoms,neurocognitive function,and global functional levels of the subjects in the three groups were evaluated using observer-rated and self-rated tools.The CHR-BD and BD groups were combined,and Logistic regression analysis was used to identify the independent influencing factors related to diagnostic status;Pearson or Spearman correlation analysis was used to analyze the correlations between the global functional levels and the symptoms or neurocognitive characteristics of the patients in CHR-BD and BD groups.Results:There were statistically significant differences in the scores of symptom and global functional level scales among HC,CHR-BD,and BD groups(P<0.05).Compared with HC group,the scores of mood symptoms(anxiety,depression,and mania/hypomania),psychotic symptoms,total affective temperament questionnaire scores,and some dimensions(cyclothymic,depressive,irritable,and anxious temperaments)in CHR-BD and BD groups were significantly increased(P<0.001),while the global functional levels were significantly decreased(P<0.001).Compared with BD group,the lowest global functional level score in the past year in CHR-BD group was significantly increased(P=0.022),while the current global functional level score was significantly decreased(P=0.005).No significant differences were observed in neurocognitive function scores among the three groups(P>0.05).The lowest global functional level score in the past year was an independent influencing factor for BD diagnosis[odds ratio(OR)=0.952,95%confidence interval(CI):0.917-0.988,P=0.010].In both CHR-BD and BD patients,the current global functional levels were negatively correlated with depressive(r=-0.417,P=0.005;r=-0.617,P<0.001)and anxiety symptoms(r=-0.360,P=0.018;r=-0.506,P=0.003).In BD patients,the current global functional level was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.360,P=0.039),psychotic symptoms(r=-0.502,P=0.003),and affective temperament scores(r=-0.479,P=0.005),while the lowest global functional level in the past year was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.391,P=0.024).Conclusion:CHR-BD patients share similar mood symptom characteristics with BD patients,and their global functional levels are negatively correlated with depressive and anxiety symptoms.BD patients exhibit worse lowest global functional levels in the past year,and their global functional levels are negatively correlated with manic/hypomanic symptoms.

Objective:To evaluate the relevant factors to optimize the learning curve and the impact of the basic skills of endoscopic technology on the learning curve of gasless transaxillary posterior endoscopic thyroidectomy.Methods:A retrospective analysis was performed to evaluate the clinical outcomes of 50 patients who underwent Glandular Ultrasound-Assisted (GUA) thyroid surgery by a surgeon with a background in endoscopic thyroid surgery via the thoracic-areolar approach, and 50 patients operated on by a surgeon without such experience at the Thyroid Surgery Department of Jilin University China-Japan Union Hospital from Apr. to Dec. 2023. The patients were divided into two groups: the Endoscopic Experience Group and the Non-Endoscopic Experience Group. The Cumulative Sum Control Chart (CUSUM) was applied to construct learning curves for both groups, dividing the technical exploration period from the mastery period. The analysis compared the surgical time, postoperative first-day drainage volume, number of central lymph nodes dissected rates, and postoperative complications between the two groups and across the two phases.Results:The analysis of the learning curve revealed that the inflection point of the Endoscopic Experience Group was 15, while of the Non-Endoscopic Experience Group was 18. The learning curve was divided into the technical exploration stage and the proficient mastery stage. The operative time of technical exploration stagde was significantly longer than of proficient mastery stage of both group (183.46±36.13min vs.144.40±26.14min, P<0.001; 186.89±48.91min vs.131.59±22.90min; P<0.001) . The operative time in the proficient mastery stage of the Endoscopic Experience Group was longer than that of the Non-Endoscopic Experience Group (144.40±26.15min vs. 131.59±22.90min, P<0.05) . The postoperative drainage volume in the Endoscopic Experience Group was lower than that in Non-Endoscopic Experience Group in both stages (65.40±32.48mL vs.93.22±30.67mL, 57.40±15.35mL vs.78.50±28.30mL, P<0.05) , and the postoperative drainage volume in the proficient mastery stage of the Non-Endoscopic Experience Group was significantly lower than in the technical exploration stage (93.22±30.67mL vs.78.50±28.30mL, P<0.05) .No significant differences in central lymph node dissection numbers or postoperative complications were observed between the groups at both stages. Conclusions:There is a specific learning curve in the early stage of gasless transaxillary posterior endoscopic thyroidectomy. After crossing the learning curve, the operation time is obviously shortened with the improvement of the operator's surgical technique.Having a basic understanding of endoscopic technology in the early stage can reduce the occurrence of postoperative drainage, but has a minimal impact on the learning curve.

Objective:To study the consistency between post-processing bone mineral density(BMD)values of multi-slice spiral computed tomography(MSCT)scan and the BMD value of quantitative computed tomography(QCT)for lumbar vertebra,so as to explore the feasibility of utilizing MSCT scan-based post-processing BMD values for lumbar vertebra in clinical practice.Methods:The MSCT equipment and QCT equipment were respectively adopted to conduct imaging scan for the L2-L4 of lumber vertebra of QRM-ESP145 European Spine Phantom(ESP),and L2-L4 of lumbar vertebra of adult sheep,and L2-L4 of lumbar vertebra of adult volunteer.The L2-L4 of ESP lumber vertebra and L2-L4 of lumbar vertebra of adult sheep were scanned respectively MSCT and QCT for three times,so as to measure BMD values.The L2-L4 of lumbar vertebrae of volunteers were scanned respectively by the two methods for one time according to the standard of clinical examination,which were reconstructed by three times so as to obtain mean of them.The BMD values of QCT scan were set as control group,and the BMD values of MSCT scan were set as experiment group.The experiment group was further divided into experiment 1 group[two dimension(2D)regional volumetric BMD values of the lumbar vertebra]and experiment 2 group[three dimension(3D)global volumetric BMD post-processing of the lumbar vertebra]according to the reliability of experiment.Then,the consistency between the MSCT 3D post-processing BMD values of three groups and QCT-measured BMD values was compared and analyzed.Results:The MSCT 3D post-processing BMD values of L2-L4 of ESP lumbar vertebra of three groups were respectively(120.83±0.97),(199.57±0.54)and(119.19±1.04)mg/cm3,and that of L2-L4 of lumbar vertebra of adult sheep of three groups were respectively(414.89±1.72),(410.50±0.77)and(420.25±2.71)mg/cm3,and that of L2-L4 of lumbar vertebra of volunteer were respectively(141.22±0.09),(137.38±0.37)and(152.03±1.03)mg/cm3.There were not statistically significant differences in BMD values between MSCT examination and QCT examination(P＞0.05).Conclusion:MSCT 3D post-processing BMD values on lumbar vertebra has high consistency with that of QCT measurements,which post-processing technique can replace QCT to conduct BMD examination,and reduce unnecessary radiation exposure and examination costs for patients.

Objective:To evaluate the relevant factors to optimize the learning curve and the impact of the basic skills of endoscopic technology on the learning curve of gasless transaxillary posterior endoscopic thyroidectomy.Methods:A retrospective analysis was performed to evaluate the clinical outcomes of 50 patients who underwent Glandular Ultrasound-Assisted (GUA) thyroid surgery by a surgeon with a background in endoscopic thyroid surgery via the thoracic-areolar approach, and 50 patients operated on by a surgeon without such experience at the Thyroid Surgery Department of Jilin University China-Japan Union Hospital from Apr. to Dec. 2023. The patients were divided into two groups: the Endoscopic Experience Group and the Non-Endoscopic Experience Group. The Cumulative Sum Control Chart (CUSUM) was applied to construct learning curves for both groups, dividing the technical exploration period from the mastery period. The analysis compared the surgical time, postoperative first-day drainage volume, number of central lymph nodes dissected rates, and postoperative complications between the two groups and across the two phases.Results:The analysis of the learning curve revealed that the inflection point of the Endoscopic Experience Group was 15, while of the Non-Endoscopic Experience Group was 18. The learning curve was divided into the technical exploration stage and the proficient mastery stage. The operative time of technical exploration stagde was significantly longer than of proficient mastery stage of both group (183.46±36.13min vs.144.40±26.14min, P<0.001; 186.89±48.91min vs.131.59±22.90min; P<0.001) . The operative time in the proficient mastery stage of the Endoscopic Experience Group was longer than that of the Non-Endoscopic Experience Group (144.40±26.15min vs. 131.59±22.90min, P<0.05) . The postoperative drainage volume in the Endoscopic Experience Group was lower than that in Non-Endoscopic Experience Group in both stages (65.40±32.48mL vs.93.22±30.67mL, 57.40±15.35mL vs.78.50±28.30mL, P<0.05) , and the postoperative drainage volume in the proficient mastery stage of the Non-Endoscopic Experience Group was significantly lower than in the technical exploration stage (93.22±30.67mL vs.78.50±28.30mL, P<0.05) .No significant differences in central lymph node dissection numbers or postoperative complications were observed between the groups at both stages. Conclusions:There is a specific learning curve in the early stage of gasless transaxillary posterior endoscopic thyroidectomy. After crossing the learning curve, the operation time is obviously shortened with the improvement of the operator's surgical technique.Having a basic understanding of endoscopic technology in the early stage can reduce the occurrence of postoperative drainage, but has a minimal impact on the learning curve.

Objective:To study the consistency between post-processing bone mineral density(BMD)values of multi-slice spiral computed tomography(MSCT)scan and the BMD value of quantitative computed tomography(QCT)for lumbar vertebra,so as to explore the feasibility of utilizing MSCT scan-based post-processing BMD values for lumbar vertebra in clinical practice.Methods:The MSCT equipment and QCT equipment were respectively adopted to conduct imaging scan for the L2-L4 of lumber vertebra of QRM-ESP145 European Spine Phantom(ESP),and L2-L4 of lumbar vertebra of adult sheep,and L2-L4 of lumbar vertebra of adult volunteer.The L2-L4 of ESP lumber vertebra and L2-L4 of lumbar vertebra of adult sheep were scanned respectively MSCT and QCT for three times,so as to measure BMD values.The L2-L4 of lumbar vertebrae of volunteers were scanned respectively by the two methods for one time according to the standard of clinical examination,which were reconstructed by three times so as to obtain mean of them.The BMD values of QCT scan were set as control group,and the BMD values of MSCT scan were set as experiment group.The experiment group was further divided into experiment 1 group[two dimension(2D)regional volumetric BMD values of the lumbar vertebra]and experiment 2 group[three dimension(3D)global volumetric BMD post-processing of the lumbar vertebra]according to the reliability of experiment.Then,the consistency between the MSCT 3D post-processing BMD values of three groups and QCT-measured BMD values was compared and analyzed.Results:The MSCT 3D post-processing BMD values of L2-L4 of ESP lumbar vertebra of three groups were respectively(120.83±0.97),(199.57±0.54)and(119.19±1.04)mg/cm3,and that of L2-L4 of lumbar vertebra of adult sheep of three groups were respectively(414.89±1.72),(410.50±0.77)and(420.25±2.71)mg/cm3,and that of L2-L4 of lumbar vertebra of volunteer were respectively(141.22±0.09),(137.38±0.37)and(152.03±1.03)mg/cm3.There were not statistically significant differences in BMD values between MSCT examination and QCT examination(P＞0.05).Conclusion:MSCT 3D post-processing BMD values on lumbar vertebra has high consistency with that of QCT measurements,which post-processing technique can replace QCT to conduct BMD examination,and reduce unnecessary radiation exposure and examination costs for patients.

Objective:To examine the effect of antidepressant treatment on the longitudinal depressive burden in patients with bipolar depression.Methods:Subjects were recruited from a national multicenter, naturalistic observational project: Comprehensive Assessment and Follow-up Descriptive Study on Bipolar Disorder study (CAFE-BD). A total of 110 patients with bipolar depression (51 males, 59 females; aged 18-64 years, mean age 34.4±11.1 years) were consecutively enrolled between January 2012 and December 2013 from outpatients and inpatients of nine medical institutions, including six psychiatric hospitals and three general hospitals. Based on the use of antidepressants as defined in this study, patients were classified into a medicated group (Ads, n=74) and a non-medicated group (nAds, n=36). Diagnosis of bipolar depression was confirmed using the MINI (Chinese version), and baseline and follow-up assessments were conducted using the Assessment of Mood Disorders Evaluation (ADE) and the Clinical Monitoring Form (CMF). Depression burden indicators, including aggregate depression scores (SUM-D), number of depressive symptoms (NUM-D), and total depression burden, were compared between the Ads group and nAds group at mid-term (the 6 th month) and endpoint (the 12 nd month). Longitudinal changes in these indicators were also analyzed. Results:The proportion of bipolar depressive patients on antidepressants was 67% (74/110). Among them, 85% (63/74) were taking antidepressants at baseline; this dropped to 76% (56/74) at mid-term, and 64% (47/74) at the endpoint. SUM-D were higher in the Ads group than in the nAds group at baseline (9 (6.5, 11) vs 7.38 (5.5, 9.0); W=1 712.00, P=0.015), and there was no statistically significant difference in NUM-D and total depressive burden between two groups at any time points ( P>0.05). Compared to baseline, the Ads group had significantly lower SUM-D (0.5 (0, 1), 1.33 (0.5, 2.5) vs. 9 (6.5, 11); W=2 770.00, 2 743.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 7 (5, 8); W=2 621.00, 2 601.50) and total depressive burden (c 2=64.36, 59.00) at both mid-term and endpoint (all P<0.001); While SUM-D (0.59 (0.4, 0.7), 1 (0.8, 2.5) vs. 7.38 (5.5, 9.0); W=664.50, W=666.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 6 (4, 7); W=527.00, 528.00) and total depression burden ( χ 2=31.00, 31.00) in the nAds group were also significantly decreased at both mid-term and endpoint (all P<0.001). There were no statistically significant differences in the changes in depression burden indicators between the two groups from baseline to mid-follow-up or endpoint, nor from mid-follow-up to endpoint ( P>0.05). Conclusion:In a 12-month real-world naturalistic follow-up study, both medicated and non-medicated bipolar depression groups experienced significant and similar reductions in depression burden.

Objective:To examine the effect of antidepressant treatment on the longitudinal depressive burden in patients with bipolar depression.Methods:Subjects were recruited from a national multicenter, naturalistic observational project: Comprehensive Assessment and Follow-up Descriptive Study on Bipolar Disorder study (CAFE-BD). A total of 110 patients with bipolar depression (51 males, 59 females; aged 18-64 years, mean age 34.4±11.1 years) were consecutively enrolled between January 2012 and December 2013 from outpatients and inpatients of nine medical institutions, including six psychiatric hospitals and three general hospitals. Based on the use of antidepressants as defined in this study, patients were classified into a medicated group (Ads, n=74) and a non-medicated group (nAds, n=36). Diagnosis of bipolar depression was confirmed using the MINI (Chinese version), and baseline and follow-up assessments were conducted using the Assessment of Mood Disorders Evaluation (ADE) and the Clinical Monitoring Form (CMF). Depression burden indicators, including aggregate depression scores (SUM-D), number of depressive symptoms (NUM-D), and total depression burden, were compared between the Ads group and nAds group at mid-term (the 6 th month) and endpoint (the 12 nd month). Longitudinal changes in these indicators were also analyzed. Results:The proportion of bipolar depressive patients on antidepressants was 67% (74/110). Among them, 85% (63/74) were taking antidepressants at baseline; this dropped to 76% (56/74) at mid-term, and 64% (47/74) at the endpoint. SUM-D were higher in the Ads group than in the nAds group at baseline (9 (6.5, 11) vs 7.38 (5.5, 9.0); W=1 712.00, P=0.015), and there was no statistically significant difference in NUM-D and total depressive burden between two groups at any time points ( P>0.05). Compared to baseline, the Ads group had significantly lower SUM-D (0.5 (0, 1), 1.33 (0.5, 2.5) vs. 9 (6.5, 11); W=2 770.00, 2 743.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 7 (5, 8); W=2 621.00, 2 601.50) and total depressive burden (c 2=64.36, 59.00) at both mid-term and endpoint (all P<0.001); While SUM-D (0.59 (0.4, 0.7), 1 (0.8, 2.5) vs. 7.38 (5.5, 9.0); W=664.50, W=666.00), NUM-D (0 (0, 0), 0 (0, 1) vs. 6 (4, 7); W=527.00, 528.00) and total depression burden ( χ 2=31.00, 31.00) in the nAds group were also significantly decreased at both mid-term and endpoint (all P<0.001). There were no statistically significant differences in the changes in depression burden indicators between the two groups from baseline to mid-follow-up or endpoint, nor from mid-follow-up to endpoint ( P>0.05). Conclusion:In a 12-month real-world naturalistic follow-up study, both medicated and non-medicated bipolar depression groups experienced significant and similar reductions in depression burden.

Objective:To utilize a deep learning approach based on speech to distinguish between depressive and manic mood states in patients with bipolar disorder (BD).Methods:Sixty-one BD patients who visited the outpatient department of psychiatry at Peking University Sixth Hospital were recruited to participate in the study from June 2018 to March 2022. Quick Inventory of Depressive Symptomatology, Mood Disorder Questionnaire and Young Mania Rating Scale were used to determine patients′ mood states. The voices of the patients were recorded, including 190 samples during the patient′s remission, depressive, and manic mood period respectively. A total of 136 features were extracted from the voice samples, including Mel-frequency cepstral coefficients and zero-crossing rates using the speech analysis library in Python. A LIGHT-SERNET-based network was then used to train a model for emotion classification. Accuracy is used to evaluate the performance of the model, using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristic curve (ROC) to evaluate the predictive results of model for three mood states. Kruskal-Wallis H tests or χ 2 tests were conducted to compare the differences among the demographic information of three groups. Results:There were statistically significant differences among the three groups in age ( H=25.83, P<0.001), years of education ( H=25.25, P<0.001) and marital status (χ 2=23.81, P<0.001). There is no significant difference in gender (χ 2=4.63, P=0.099). The accuracy of the model in detecting the three emotional states was 0.84. The sensitivity and specificity in detecting remission were 0.88 and 0.93, respectively, and the positive predictive value and negative predictive value were 0.87 and 0.94, respectively. The sensitivity and specificity in detecting depressive episodes were 0.82 and 0.92, respectively, and the positive predictive value and negative predictive value were 0.84 and 0.92, respectively. The sensitivity and specificity in detecting manic episodes were 0.82 and 0.91, respectively, and the positive predictive value and negative predictive value were 0.83 and 0.91, respectively. The areas of the receiver operation characteristic curve for the three mood states were similar and all exceeded 0.90. Conclusion:The LIGHT-SERNET-based deep learning model shows good discrimination ability between depressive and manic mood states based on speech analysis.

Objective:To utilize a deep learning approach based on speech to distinguish between depressive and manic mood states in patients with bipolar disorder (BD).Methods:Sixty-one BD patients who visited the outpatient department of psychiatry at Peking University Sixth Hospital were recruited to participate in the study from June 2018 to March 2022. Quick Inventory of Depressive Symptomatology, Mood Disorder Questionnaire and Young Mania Rating Scale were used to determine patients′ mood states. The voices of the patients were recorded, including 190 samples during the patient′s remission, depressive, and manic mood period respectively. A total of 136 features were extracted from the voice samples, including Mel-frequency cepstral coefficients and zero-crossing rates using the speech analysis library in Python. A LIGHT-SERNET-based network was then used to train a model for emotion classification. Accuracy is used to evaluate the performance of the model, using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristic curve (ROC) to evaluate the predictive results of model for three mood states. Kruskal-Wallis H tests or χ 2 tests were conducted to compare the differences among the demographic information of three groups. Results:There were statistically significant differences among the three groups in age ( H=25.83, P<0.001), years of education ( H=25.25, P<0.001) and marital status (χ 2=23.81, P<0.001). There is no significant difference in gender (χ 2=4.63, P=0.099). The accuracy of the model in detecting the three emotional states was 0.84. The sensitivity and specificity in detecting remission were 0.88 and 0.93, respectively, and the positive predictive value and negative predictive value were 0.87 and 0.94, respectively. The sensitivity and specificity in detecting depressive episodes were 0.82 and 0.92, respectively, and the positive predictive value and negative predictive value were 0.84 and 0.92, respectively. The sensitivity and specificity in detecting manic episodes were 0.82 and 0.91, respectively, and the positive predictive value and negative predictive value were 0.83 and 0.91, respectively. The areas of the receiver operation characteristic curve for the three mood states were similar and all exceeded 0.90. Conclusion:The LIGHT-SERNET-based deep learning model shows good discrimination ability between depressive and manic mood states based on speech analysis.