Objective:To investigate the effect of childhood trauma on non-suicidal self-injury (NSSI) behavior in patients with depression.Method:Embase, PubMed, Cochrane Library, PsycINFO, China National Knowledge Infrastructure, Wanfang Data and China Biology Medicine dis were searched from inception to March 2024 for cross-sectional, case-control and cohort studies on childhood trauma and NSSI in patients with depression. Two researchers independently screened studies, extracted data, and assessed quality. The effect indicators were the odds ratio ( OR) of childhood trauma and school bullying to NSSI in the depressed population and the mean difference ( MD) of the childhood trauma subscale scores between the depressed population with and without NSSI. Meta-analysis was performed using Review Manager 5.3 and Stata17 software. Results:A total of 29 articles with 5 095 depressed patients were included. Childhood trauma was significantly associated with NSSI in patients with depression ( OR=2.91, 95% CI=2.01-4.21). Various forms of childhood trauma were related to NSSI behaviors in depressive patients: physical abuse ( MD=0.77, 95% CI=0.47-1.06), emotional abuse ( MD=2.99, 95% CI=2.10-3.88), physical neglect ( MD=1.17, 95% CI=0.47-1.87), emotional neglect ( MD=2.59, 95% CI=1.82-3.36), and sexual abuse ( MD=0.35, 95% CI=0.19-0.51). Additionally, school bullying among extra-family factors was identified as a risk factor for NSSI ( OR=2.16, 95% CI=1.46-3.18). Conclusion:Childhood trauma is a risk factor for NSSI behaviors in patients with depression. Different types of childhood trauma within the family, including various forms of abuse and neglect, and school bullying outside the family are related to NSSI behaviors in this population.

Objective:This study aims to explore the independent and interactive effects of childhood trauma (CT) and major depressive disorder (MDD) on amygdala subregion volumes and to examine whether volumetric changes in these subregions mediate the relationship between CT and depressive severity.Methods:A total of 129 MDD patients and 127 age- and sex-matched healthy controls were recruited from Nanjing Brain Hospital between October 2022 and November 2024. All participants underwent 3D-T 1 weighted MRI scans,and amygdala subregions were segmented using the FreeSurfer software. Depressive and anxiety symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HAMD 17) and the Hamilton Anxiety Scale (HAMA),respectively. Childhood trauma exposure was evaluated via the Childhood Trauma Questionnaire (CTQ). Generalized linear models (GLM) were applied to analyze the main and interactive effects of MDD diagnosis (depression/healthy controls) and CT (presence/absence),adjusting for age,estimated intracranial volume,sex,medication history,and education years. Partial correlation and mediation analyses were conducted to explore associations between amygdala subregion volumes and clinical measures in MDD patients. Results:MDD diagnosis was independently associated with increased volumes in the right central nucleus ( Wald χ2=9.09, P=0.026) and medial nucleus ( Wald χ2=10.08, P=0.026). CT exposure was independently associated with reduced volumes in the right central nucleus ( Wald χ2=7.99, P=0.047) and medial nucleus ( Wald χ2=9.20, P=0.047). No significant interaction effects between MDD and CT were observed in any amygdala subregion. Mediation analysis revealed that reduced right medial nucleus volume partially mediated the relationship between total CTQ scores and depressive severity (proportion mediated: 26.69%,95% CI=0.002-0.060) and mediated the association between emotional neglect and depressive severity (proportion mediated: 26.75%,95% CI=0.006-0.150). Such mediating effects were not found for the right central nucleus. Conclusion:CT and MDD exhibit divergent patterns of influence on amygdala subregions. CT is linked to volumetric reductions,whereas MDD is associated with volumetric enlargement. Reduced volume of the right medial nucleus mediates the relationship between CT and depression severity.

Objective:To investigate the effect of childhood trauma on non-suicidal self-injury (NSSI) behavior in patients with depression.Method:Embase, PubMed, Cochrane Library, PsycINFO, China National Knowledge Infrastructure, Wanfang Data and China Biology Medicine dis were searched from inception to March 2024 for cross-sectional, case-control and cohort studies on childhood trauma and NSSI in patients with depression. Two researchers independently screened studies, extracted data, and assessed quality. The effect indicators were the odds ratio ( OR) of childhood trauma and school bullying to NSSI in the depressed population and the mean difference ( MD) of the childhood trauma subscale scores between the depressed population with and without NSSI. Meta-analysis was performed using Review Manager 5.3 and Stata17 software. Results:A total of 29 articles with 5 095 depressed patients were included. Childhood trauma was significantly associated with NSSI in patients with depression ( OR=2.91, 95% CI=2.01-4.21). Various forms of childhood trauma were related to NSSI behaviors in depressive patients: physical abuse ( MD=0.77, 95% CI=0.47-1.06), emotional abuse ( MD=2.99, 95% CI=2.10-3.88), physical neglect ( MD=1.17, 95% CI=0.47-1.87), emotional neglect ( MD=2.59, 95% CI=1.82-3.36), and sexual abuse ( MD=0.35, 95% CI=0.19-0.51). Additionally, school bullying among extra-family factors was identified as a risk factor for NSSI ( OR=2.16, 95% CI=1.46-3.18). Conclusion:Childhood trauma is a risk factor for NSSI behaviors in patients with depression. Different types of childhood trauma within the family, including various forms of abuse and neglect, and school bullying outside the family are related to NSSI behaviors in this population.

Objective:This study aims to explore the independent and interactive effects of childhood trauma (CT) and major depressive disorder (MDD) on amygdala subregion volumes and to examine whether volumetric changes in these subregions mediate the relationship between CT and depressive severity.Methods:A total of 129 MDD patients and 127 age- and sex-matched healthy controls were recruited from Nanjing Brain Hospital between October 2022 and November 2024. All participants underwent 3D-T 1 weighted MRI scans,and amygdala subregions were segmented using the FreeSurfer software. Depressive and anxiety symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HAMD 17) and the Hamilton Anxiety Scale (HAMA),respectively. Childhood trauma exposure was evaluated via the Childhood Trauma Questionnaire (CTQ). Generalized linear models (GLM) were applied to analyze the main and interactive effects of MDD diagnosis (depression/healthy controls) and CT (presence/absence),adjusting for age,estimated intracranial volume,sex,medication history,and education years. Partial correlation and mediation analyses were conducted to explore associations between amygdala subregion volumes and clinical measures in MDD patients. Results:MDD diagnosis was independently associated with increased volumes in the right central nucleus ( Wald χ2=9.09, P=0.026) and medial nucleus ( Wald χ2=10.08, P=0.026). CT exposure was independently associated with reduced volumes in the right central nucleus ( Wald χ2=7.99, P=0.047) and medial nucleus ( Wald χ2=9.20, P=0.047). No significant interaction effects between MDD and CT were observed in any amygdala subregion. Mediation analysis revealed that reduced right medial nucleus volume partially mediated the relationship between total CTQ scores and depressive severity (proportion mediated: 26.69%,95% CI=0.002-0.060) and mediated the association between emotional neglect and depressive severity (proportion mediated: 26.75%,95% CI=0.006-0.150). Such mediating effects were not found for the right central nucleus. Conclusion:CT and MDD exhibit divergent patterns of influence on amygdala subregions. CT is linked to volumetric reductions,whereas MDD is associated with volumetric enlargement. Reduced volume of the right medial nucleus mediates the relationship between CT and depression severity.

Objective:To explore the characteristics of hippocampal subfield volume changes in bipolar disorder (BD) patients with childhood trauma and investigate the correlation between these volume changes and the severity of depressive symptoms.Methods:A total of 112 BD patients in the depressive phase and 62 healthy controls (HC) were recruited from April 2019 to April 2024. All participants were assessed using 17-item Hamilton depression scale (HAMD-17), Hamilton anxiety scale (HAMA), and the childhood trauma questionnaire (CTQ). Based on CTQ scores, BD patients were divided into two groups: the BD with childhood trauma group (BD-CT group, n=51) and the BD without childhood trauma group (BD-nCT group, n=61). T1-weighted magnetic resonance imaging (MRI) scans of the brain were collected for all participants, and hippocampal subfield volumes were segmented using FreeSurfer software.SPSS 26.0 software and Rv 4.1.1 software were used for data analysis.Generalized linear models were used to compare volume differences among three groups. Partial correlation analysis was performed to examine the relationship between the hippocampal subfield volumes showing significant differences and HAMD scores. Results:Significant differences were observed among the three groups in the left CA3(221.49(185.83, 243.02), 194.02(163.53, 226.19), 227.39(200.65, 247.47)), left CA4(261.68(240.89, 285.45), 236.86(210.76, 264.78), 269.75(244.90, 286.03)), left granule cell layer of the dentate gyrus (GC-ML-DG)(307.84(283.35, 328.85), 277.92(249.51, 308.25), 315.39(285.18, 330.25)), and left molecular layer(586.72(549.38, 635.25), 548.16(500.34, 605.24), 602.15(557.63, 637.13)) (Wald χ2=12.81-17.60, all P<0.05). The BD-CT group had significantly smaller volumes in the left CA3, left CA4, left GC-ML-DG, and left molecular layer compared to the BD-nCT group (all P<0.05). The BD-CT group also showed significantly smaller volumes in the left CA3, left CA4, and left GC-ML-DG compared to the HC group (all P<0.05). The volumes of left CA3 ( r=-0.33), left CA4 ( r=-0.31), left GC-ML-DG ( r=-0.31), and left molecular layer ( r=-0.28) regions were negatively correlated with HAMD scores (all P<0.05, Bonferroni correction). Conclusion:BD patients with childhood trauma exhibit reduced volumes in the left hippocampus subfields, including left CA3, left CA4, left GC-ML-DG and left molecular layer.These volume reductions are negatively correlated with the severity of depression.

Objective:To explore the characteristics of hippocampal subfield volume changes in bipolar disorder (BD) patients with childhood trauma and investigate the correlation between these volume changes and the severity of depressive symptoms.Methods:A total of 112 BD patients in the depressive phase and 62 healthy controls (HC) were recruited from April 2019 to April 2024. All participants were assessed using 17-item Hamilton depression scale (HAMD-17), Hamilton anxiety scale (HAMA), and the childhood trauma questionnaire (CTQ). Based on CTQ scores, BD patients were divided into two groups: the BD with childhood trauma group (BD-CT group, n=51) and the BD without childhood trauma group (BD-nCT group, n=61). T1-weighted magnetic resonance imaging (MRI) scans of the brain were collected for all participants, and hippocampal subfield volumes were segmented using FreeSurfer software.SPSS 26.0 software and Rv 4.1.1 software were used for data analysis.Generalized linear models were used to compare volume differences among three groups. Partial correlation analysis was performed to examine the relationship between the hippocampal subfield volumes showing significant differences and HAMD scores. Results:Significant differences were observed among the three groups in the left CA3(221.49(185.83, 243.02), 194.02(163.53, 226.19), 227.39(200.65, 247.47)), left CA4(261.68(240.89, 285.45), 236.86(210.76, 264.78), 269.75(244.90, 286.03)), left granule cell layer of the dentate gyrus (GC-ML-DG)(307.84(283.35, 328.85), 277.92(249.51, 308.25), 315.39(285.18, 330.25)), and left molecular layer(586.72(549.38, 635.25), 548.16(500.34, 605.24), 602.15(557.63, 637.13)) (Wald χ2=12.81-17.60, all P<0.05). The BD-CT group had significantly smaller volumes in the left CA3, left CA4, left GC-ML-DG, and left molecular layer compared to the BD-nCT group (all P<0.05). The BD-CT group also showed significantly smaller volumes in the left CA3, left CA4, and left GC-ML-DG compared to the HC group (all P<0.05). The volumes of left CA3 ( r=-0.33), left CA4 ( r=-0.31), left GC-ML-DG ( r=-0.31), and left molecular layer ( r=-0.28) regions were negatively correlated with HAMD scores (all P<0.05, Bonferroni correction). Conclusion:BD patients with childhood trauma exhibit reduced volumes in the left hippocampus subfields, including left CA3, left CA4, left GC-ML-DG and left molecular layer.These volume reductions are negatively correlated with the severity of depression.

We produced (S)-4-cyano-3-(4-chlorophenyl)-butyrate by highly stereoselective biocatalyst in this study. A nitrilase-producing strain, named Gibberella intermedia WX12, was isolated by 3-(4-chlorophenyl)-glutaronitrile as substrate in the screening with phenol-sodium hypochlorite method. The fermentation conditions and catalytic properties of this strain were investigated. The preferred carbon and nitrogen sources for nitrilase production were lactose (30 g/L) and peptone (20 g/L). After being cultivated for 96 h, the cells were collected for use in biotransformation. The hydrolysis of 3-(4-chlorophenyl)-glutaronitrile was performed at 30 degrees C in phosphate buffer (pH 8.0, 50 mmol/L) for 24 h to give (S)-4-cyano-3-(4-chlorophenyl)-butyric acid with 90% yield and > 99% of ee, which can be used for the synthesis of (R)- and (S)-baclofen. The configuration of product was determined by chemically converting it to baclofen and comparison with the authentic sample by chiral HPLC analysis.
Aminohydrolases ; metabolism ; Baclofen ; chemical synthesis ; chemistry ; Biocatalysis ; Chlorophenols ; chemistry ; Gibberella ; enzymology ; Hydrolysis ; Nitriles ; chemistry ; Prodrugs ; chemical synthesis ; chemistry