The Golgi apparatus (GA) is a key membranous organelle in eukaryotic cells, acting as a central component of the endomembrane system. It plays an irreplaceable role in the processing, sorting, trafficking, and modification of proteins and lipids. Under normal conditions, the GA cooperates with other organelles, including the endoplasmic reticulum (ER), lysosomes, mitochondria, and others, to achieve the precise processing and targeted transport of nearly one-third of intracellular proteins, thereby ensuring normal cellular physiological functions and adaptability to environmental changes. This function relies on Golgi protein quality control (PQC) mechanisms, which recognize and handle misfolded or aberrantly modified proteins by retrograde transport to the ER, proteasomal degradation, or lysosomal clearance, thus preventing the accumulation of toxic proteins. In addition, Golgi-specific autophagy (Golgiphagy), as a selective autophagy mechanism, is also crucial for removing damaged or excess Golgi components and maintaining its structural and functional homeostasis. Under pathological conditions such as oxidative stress and infection, the Golgi apparatus suffers damage and stress, and its homeostatic regulatory network may be disrupted, leading to the accumulation of misfolded proteins, membrane disorganization, and trafficking dysfunction. When the capacity and function of the Golgi fail to meet cellular demands, cells activate a series of adaptive signaling pathways to alleviate Golgi stress and enhance Golgi function. This process reflects the dynamic regulation of Golgi capacity to meet physiological needs. To date, 7 signaling pathways related to the Golgi stress response have been identified in mammalian cells. Although these pathways have different mechanisms, they all help restore Golgi homeostasis and function and are vital for maintaining overall cellular homeostasis. It is noteworthy that the regulation of Golgi homeostasis is closely related to multiple programmed cell death pathways, including apoptosis, ferroptosis, and pyroptosis. Once Golgi function is disrupted, these signaling pathways may induce cell death, ultimately participating in the occurrence and progression of diseases. Studies have shown that Golgi homeostatic imbalance plays an important pathological role in various major diseases. For example, in Alzheimer’s disease (AD) and Parkinson’s disease (PD), Golgi fragmentation and dysfunction aggravate the abnormal processing of amyloid β-protein (Aβ) and Tau protein, promoting neuronal loss and advancing neurodegenerative processes. In cancer, Golgi homeostatic imbalance is closely associated with increased genomic instability, enhanced tumor cell proliferation, migration, invasion, and increased resistance to cell death, which are important factors in tumor initiation and progression. In infectious diseases, pathogens such as viruses and bacteria hijack the Golgi trafficking system to promote their replication while inducing host defensive cell death responses. This process is also a key mechanism in host-pathogen interactions. This review focuses on the role of the Golgi apparatus in cell death and major diseases, systematically summarizing the Golgi stress response, regulatory mechanisms, and the role of Golgi-specific autophagy in maintaining homeostasis. It emphasizes the signaling regulatory role of the Golgi apparatus in apoptosis, ferroptosis, and pyroptosis. By integrating the latest research progress, it further clarifies the pathological significance of Golgi homeostatic disruption in neurodegenerative diseases, cancer, and infectious diseases, and reveals its potential mechanisms in cellular signal regulation.

In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.
Humans ; Schizophrenia/pathology* ; Gray Matter/pathology* ; Magnetic Resonance Imaging ; Disease Progression ; Male ; Female ; Brain/pathology* ; Cerebral Cortex/pathology* ; Adult

OBJECTIVE: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures. METHODS: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers. A senior orthopedic physician reviewed the films and measured the ulnar deviation angle, radial height, palmar inclination angle, intra-articular step, and intra-articular gap for each case on the hospital's imaging system. Based on the reduction standard for distal radius fractures, cases were divided into reduction group and non-reduction group. Then, the data were sequentially imported into a human-computer interaction intelligent software, where a junior orthopedic physician analyzed the same radiological parameters, categorized cases, and measured fracture details. The categorization results from the software were consistent with manual classifications (6 reduction cases and 8 non-reduction cases). For non-reduction cases, the software performed further analyses, including bone segmentation and fracture recognition, generating 8 diagnostic reports containing fracture recognition information. For the 6 reduction cases, the senior and junior orthopedic physicians independently analyzed the data on the hospital's imaging system and the AI software, respectively. Bone segments requiring reduction were identified, verified by two senior physicians, and measured for displacement and rotation along the X (inward and outward), Z (front and back), and Y (up and down) axes. The AI software generated comprehensive diagnostic reports for these cases, which included all measurements and fracture recognition details. RESULTS: Both the manual and AI software methods consistently categorized the 14 cases into 6 reduction and 8 non-reduction groups, with identical data distributions. A paired sample t-test revealed no statistically significant differences (P>0.05) between the manual and software-based measurements for ulnar deviation angle, radial ulnar bone height, palmar inclination angle, intra-articular step, and joint space. In fracture recognition, the AI software correctly identified 10 C-type fractures and 4 B-type fractures. For the 6 reduction cases, a total of 24 bone fragments were analyzed across both methods. After verification, it was found that the bone fragments identified by the two methods were consistent. A paired sample t-tests revealed that the identified bone fragments and measured displacement and rotation angles along the X, Y, and Z axes were consistent between the two methods. No statistically significant differences(P>0.05) were found between manual and software measurements for these parameters. CONCLUSION Human-computer interaction software employing AI technology demonstrated comparable accuracy to manual measurement in identifying and locating type C1 distal radius fractures on CT imaging.
Humans ; Male ; Female ; Radius Fractures/surgery* ; Middle Aged ; Adult ; Aged ; Aged, 80 and over ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; Software ; Wrist Fractures

GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures. The chemical diversity of azaphilones from the fermentation extracts of Talaromyces sp. HK1-18 was studied by molecular network technique. Three linear tricyclic azaphilones, sequoiamonacins A-C (2a, 2b, 1), were isolated by silica gel column chromatography and high performance liquid chromatography from the extracts of the fungal strain of HK1-18, and their structures were identified by nuclear magnetic resonance and high-resolution mass spectrometry. Guided by the mass spectra of sequoiamonacins A-C (2a, 2b, 1), the cluster of sequoiamonacinoid analogues was discovered from the full molecular networking of HK1-18. By analyzing the MS/MS fragments of each parent ion in this cluster, 7 azaphilones (3-9) included 6 new ones (4-9) were predicted successfully. Then the MS/MS cracking regularity of this type of azaphilones was revealed. Compound 1 showed anti-inflammatory activity, which can inhibit the production of interleukin-1α (IL-1α) in lipopolysaccharide (LPS)-induced mouse macrophage RAW264.7, with an inhibitory rate of 29% at the concentration of 12.5 μg·mL^-1.

Abstract As dietary issues of children and adolescents become increasingly complex, the assessment of food literacy (FL) is increasingly importance. FL involves a comprehensive cognition and practical ability concerning food among children, playing a key role in fostering healthy eating habits and improving health levels. The article explores the definition and connotations of FL, and introduces eight FL assessment tools in terms of theoretical foundations, dimensions, assessment methods, and their reliability and validity. Moreover, it provides a comparative analysis of these tools by examining their dimensional design, evaluation indicators, strengths, and weaknesses, as well as their applicable subjects and scenarios, aiming to offer references for implementing relevant policies and developing more comprehensive and effective FL assessment tools.

Objective:To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application.Methods:A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively.Results:A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] ( Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=-2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ 2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference ( Z=-0.78, P=0.439). Conclusions:Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy.

Objective To analyze the interaction between PML protein and TAB1 protein using bioinformatic approaches and experimentally verify the results.Methods Using Rosetta software,a 3D model of TAB1 protein was constructed through a comparative modeling approach;the secondary structure of PML protein was retrieved in the PDB database and its crystal structure and 3D structure were resolved.Zdock 3.0.2 software was used to perform protein-protein docking of PML and TAB1,and the best conformation was extracted for molecular structure analysis of the docking model.The interaction between the two proteins was detected using immunoprecipitation in α-MMC-treated M1 inflammatory macrophages.Results When 6IMQ of PML was used as the docking site,PML protein formed 3 salt bridges,6 hydrogen bonds and 6 hydrophobic interactions with TAB1 proteins;when 5YUF of PML was used as the docking site,PML protein formed 1 hydrogen bond,3 electrostatic interactions and 9 hydrophobic interactions with TAB1 proteins,and both of the docking modes formed good molecular docking and interactions.In the M1 inflammatory macrophages treated with α-MMC for 4 h,positive protein bands of PML and TAB1 were detected in the cell lysates in PML-IP group.Conclusion PML protein can interact strongly with TAB1 protein.

Objective To analyze the interaction between PML protein and TAB1 protein using bioinformatic approaches and experimentally verify the results.Methods Using Rosetta software,a 3D model of TAB1 protein was constructed through a comparative modeling approach;the secondary structure of PML protein was retrieved in the PDB database and its crystal structure and 3D structure were resolved.Zdock 3.0.2 software was used to perform protein-protein docking of PML and TAB1,and the best conformation was extracted for molecular structure analysis of the docking model.The interaction between the two proteins was detected using immunoprecipitation in α-MMC-treated M1 inflammatory macrophages.Results When 6IMQ of PML was used as the docking site,PML protein formed 3 salt bridges,6 hydrogen bonds and 6 hydrophobic interactions with TAB1 proteins;when 5YUF of PML was used as the docking site,PML protein formed 1 hydrogen bond,3 electrostatic interactions and 9 hydrophobic interactions with TAB1 proteins,and both of the docking modes formed good molecular docking and interactions.In the M1 inflammatory macrophages treated with α-MMC for 4 h,positive protein bands of PML and TAB1 were detected in the cell lysates in PML-IP group.Conclusion PML protein can interact strongly with TAB1 protein.

Objective To survey and analysis of cephalometric indicators of Wa adults in China.Methods Cephalometric parameters were measured in 1996 cases(858 males and 1138 females)of Wa adults in China,including 927 cases(381 males and 546 females)of the Baraoke ethnic group,564 cases(241 males and 323 females)of the A Wa ethnic group,and 505 cases(236 males and 269 females)of the Wa ethnic group by using sliding caliper and spreading caliper.Seventeen direct cephalofacial parameters and one indirect parameter for each of the three dialect ethnic groups were derived separately and analyzed for age correlations,inter-sex u-tests,and multiple comparisons.Finally,the three dialect ethnic groups were subjected to cluster analysis and principal component analysis with 15 ethnic groups in China.Results Nose breadth,mouth breadth and physiognomic ear length were significantly and positively correlated with age for both sexes in the three Wa dialect ethnic groups,while head breadth and lip height were significantly and negatively correlated with age.Except for the interocular breadth,there were gender differences between males and females in the cephalometric parameters of the three Wa dialect ethnic groups.The cephalofacial features of the Baraoke,A Wa and Wa ethnic groups were different,as evidenced by the fact that males and females of the Baraoke and Wa dialect ethnic group had higher lip height,wider nasal breadth and wider mouth breadth,while males and females of the A Wa ethnic group had lower nasal height.Conclusion The cephalofacial features of the three Wa dialect ethnic groups are close to those of the Khmus and Mang,who have their origins in the ancient Baipu people and are also members of the Mon-Khmer language group of the Austroasiatic linguistic.

Aim To investigate the mechanism of icar-itin(ICT)on D-galactose(D-gal)-induced TM4 ser-toli cell junctional function damage in vitro.Methods TM4 cells were divided into the normal control group and D-gal treatment group with different concentra-tions.The expression changes of TM 4 cell junction function-related proteins(ZO-1,Occludin,β-catenin and Cx43)and ERα/FAK signaling pathway-related proteins(ERα,FAK and pY397-FAK)were detected by Western blot.The concentration of ICT was screened by MTT method.TM4 cells were divided into normal control group,D-gal treatment group,and D-gal treatment+different concentrations of ICT group.The expression levels of the above proteins were detected by Western blot.Molecular docking was used to study the interaction between ERα and ICT,meanwhile predict the affinity between them.Finally,TM4 cells were di-vided into normal control group,D-gal treatment group,ERα inhibitor group,D-gal+ICT group,and ERα inhibitor+ICT group.The expression levels of the above proteins were detected by Western blot.Re-sults Compared with the normal control group,the ex-pression of junctional function-related proteins(ZO-1,Occludin,β-catenin and Cx43)and ERα/FAK signa-ling pathway-related proteins(ERα,FAK and pY397-FAK)were significantly down-regulated.After treat-ment with ICT,the expression of above proteins were significantly up-regulated.The docking results of ERα and ICT molecules revealed the formation of two hydro-gen bonds between Asp351 amino acid residue of ERα and ICT,with bond distances measuring 3.4? and 2.4?.Additionally,the docking binding energy be-tween them was found to be lower than-7 kcal·mol-1.After TM4 cells were treated with ERα inhibi-tor,the expression of above proteins and ERα/FAK signaling pathway-related proteins were significantly down-regulated,while the expression levels of the a-bove proteins did not change significantly after being given ICT protected group.Conclusions D-gal can cause damage to the junctional function of TM4 cells,and ICT can improve this damage,which may be related to the up-regulation of ERα/FAK signaling pathway.