Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Chlorobenzene contaminants (CBs) pose a threat to the eco-environment, and functional strains hold considerable potential for the remediation of CB-contaminated sites. To deeply explore the application potential of functional bacteria in the in-situ bioremediation of CBs, this study focused on the biodegradation characteristics and degradation kinetics of CB and 1, 2-dichlorobenzene (1, 2-DCB) in soil by the isolated strain Serratia marcescens TF-1. Additionally, an in-situ remediation trial was conducted with this strain at a chemical industrial site. Batch serum bottle experiments showed that the degradation rate of CB at the concentrations ranging from 20 to 200 mg/L by TF-1 was 0.22-0.66 mol/(g_cell·h), following the Haldane model, with the optimal concentration at 23.12 mg/L. The results from simulated soil degradation experiments indicated that the combined use of TF-1 and sodium succinate (SS) significantly enhanced the degradation of CBs, with the maximum degradation rate of CB reaching 0.104 d^-1 and a half-life of 6.66 d. For 1, 2-DCB, the maximum degradation rate constant was 0.068 7 d^-1, with a half-life of 10.087 d. The in-situ remediation results at the chemically contaminated site demonstrated that the introduction of bacterial inoculant and SS significantly improved the removal of CBs, achieving the removal rates of 84.2%-100% after 10 d. CB, 1, 4-dichlorobenzene (1, 4-DCB), and benzo[a]pyrene were completely removed. Microbial diversity analysis revealed that the in-situ remediation facilitated the colonization of TF-1 and the enrichment of indigenous nitrogen-fixing Azoarcus, which may have played a key role in the degradation process. This study provides a theoretical basis and practical experience for the in situ bioremediation of CBs-contaminated sites.
Chlorobenzenes/isolation & purification* ; Biodegradation, Environmental ; Soil Pollutants/isolation & purification* ; Serratia marcescens/metabolism* ; Industrial Waste ; Soil Microbiology

Objective To study the changes of negative symptoms in PCP-induced schizophrenia rat model.Methods Thirty newborn female SD rats randomly divided into control group,PCP-week 6 group and PCP-week 10 group( n=10 in each group).Perinatal rat treated with PCP ( 10 mg/kg) on postnatal days 7,9 and 11(10 mg/kg,ip),and sucorse intalce test(SIT),forced swimming test(FST) and resident-intruder test(RIT) were used to test the emotional and negative symptoms.Results In the SIT,there was no difference between control and PCP groups (con:(28.24 ±0.86) ml/kg; week 6:(26.57 ± 1.01 ) ml/kg; week 10:(27.98 ±0.99) ml/kg,F =12.35,P ＞ 0.05 ).In the FST,PCP model rats showed longer still time ( con:(39.32 ± 1.98 ) s ; week 6:(52.39 ± 1.66)s,week 10:(55.56 ± 1.49)s,F=3.99,P＜ 0.05 ).In the RIT,PCP models rats showed less explore time ( (40.31 ± 13.56)s vs (63.90 ± 13.12)s,(43.65 ±12.86 )s vs (65.18 ± 15.12)s,P ＜ 0.05 ) and more escape time ((19.33±2.26) s vs (9.26 ± 1.32) s,(17.79 ±2.99) s vs (9.38 ± 1.36) s,P＜ 0.05).Conclusion Perinatal PCP injection can induce the long-lasting negative-symptoms changes.

Objective To investigate the influence of anti-angiogenesis therapy on proliferation and apoptosis of fibroblasts derived from keloids. Methods Thirty pieces of keloids from a patient were implanted into subcutaneous tissue of the nude mice, 24 pieces of which survived were divided into three groups which were treated with perilesional injection of vascular endothelial growth factor( VEGF) (0.4 mg/0.2 mL) , Endostar(0.125 g/0.2 mL) and physiological saline (0.2 mL)on the 21 d, 23 d, 25 d, 27 d after implantation. Sample were collected on the 10th day after perilesional injection, the proliferating fibroblasts in keloid tissue were immunohistochemically detected by proliferating cell nuclear antigen (PCNA) expression. The apoptotic cell was detected by terminal deoxynucleotidyl transferase dUTP-nick end labeling (TUNEL) staining. Results IHC staining indicated that PCNA expression of fibroblasts was significantly increased in keloid tissue after VEGF injection, PCNA expression of fibroblasts was significantly reduced in keloid tissue after Endostar injection,TUNEL assay revealed lower apoptotic cells expression in the keloid tissue after VEGF injection and higher in the Endostar group than control group. The rate of proliferative index (PI) , apoptotic index(AI) and AI/PI of fibroblasts in keloid after VEGF (PI:41.13 ±2.29,AI:5.75 ±1.28,AI/PI: 0.14 ± 0.04)or Endostar injection (PI:27.25 ±2.61,AI:11.00±1.31,AI/PI:0.41 ±0.09)and control group (PI: 34.75 ±3.62,AI:7. 88 ± 1.64,AI/PI:0. 23 ±0.07) showed statistical differences. Conclusion Anti-angiogenesis therapy is shown to induce keloid regression through suppression of keloid fibroblast proliferation,induction of apoptosis, which may be a new approach for the treatment of keloids.