ObjectiveTo explore the effect and mechanism of Taishan Panshi powder （TSPSP） on inhibiting oxidative stress injury in human chorionic trophoblast cells （HTR-8/SVneo）， and to uelucidate the underlying mechanism of TSPSP in the treatment of spontaneous abortion （SA）. MethodsGene differential analysis of SA was performed using the Gene Expression Omnibus （GEO） database and correlated with oxidative stress. Network pharmacology was employed to screen the active components of TSPSP， and a "Chinese medicine-component-target-disease" network was constructed to predict the mechanism of action of TSPSP. For in vitro validation experiments， HTR-8/SVneo cells were divided into blank group， model group， TSPSP-containing serum 2.5%， 5%， 10% groups， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group （ML385， 30 μmol·L^-1）. Except for the blank group， other groups were stimulated with 150 μmol·L^-1 H₂O₂ for 3 h to establish a cell oxidative stress injury model. After successful modeling， the blank group and model group were given 10% blank serum， each TSPSP-containing serum group was treated with the corresponding concentration of drug-containing serum， and the Nrf2 inhibitor group was additionally given 30 μmol·L^-1 ML385 on the basis of 10% TSPSP-containing serum. All groups of cells were continuously cultured under the above conditions for 24 h， and then samples were collected for subsequent detection. Cell viability in each group was detected by CCK-8 assay. Cell migration rate was detected by scratch test. The contents of malondialdehyde （MDA）， Fe²⁺， and Glutathione （GSH） were detected by enzyme-linked immunosorbent assay （ELISA）. Intracellular reactive oxygen species （ROS） level was detected by a fluorescent probe （DCF-DA）. The protein and mRNA expression levels of Kelch-like ECH-associated protein 1 （KEAP1）， Nrf2， and forkhead box protein O3 （FoxO3） in cells were detected by immunofluorescence （IF） and real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of KEAP1， Nrf2， FoxO3， Glutathione peroxidase 4 （GPX4）， and superoxide dismutase （SOD） in cells were detected by Western blot. ResultsThe GSE76862 and GSE22490 datasets were obtained from the GEO database. Differential gene analyses showed that the KEAP1， Nrf2， and FoxO3 genes were all associated with the disease. After matching with the oxidative stress pathway， nine significantly differential pathways were identified （P<0.05）， among which three contained the target genes Nrf2 and FoxO3. A total of 246 active ingredient targets of TSPSP and 2 804 SA-related targets were obtained through network pharmacology， and 154 potential action targets were obtained after taking the intersection. Topological analysis showed that targets such as KEAP1 and Nrf2 exhibited high degree values. GO and KEGG enrichment analyses indicated that the intersection targets were mainly involved in oxidative stress response， FOXO and MAPK signaling pathways， etc. In in vitro experiments， compared with the blank group， the cell viability in the model group was significantly decreased （P<0.01）. Compared with the model group， the cell viability in each TSPSP-containing serum group was significantly increased （P<0.01）. Compared with the 10% TSPSP-containing serum group， the cell viability in the ML385 group decreased to approximately 70% （P<0.01）. Compared with the blank group， the model group showed significantly increased contents of MDA， Fe²⁺， and ROS， decreased GSH expression （P<0.01）， significantly reduced cell migration rate （P<0.01）， and increased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.01）， while decreased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.01）. Compared with the model group， each TSPSP-containing serum group showed significantly decreased contents of MDA， Fe²⁺， and ROS， increased GSH expression （P<0.01）， significantly increased migration rate （P<0.01）， significantly decreased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.05， P<0.01）， and significantly increased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.05， P<0.01）. Compared with the 10% TSPSP-containing serum group， the ML385 group showed reversed trends in all indicators （P<0.05， P<0.01）. ConclusionTSPSP can inhibit H₂O₂-induced oxidative stress injury of trophoblast cells， and its mechanism of action may be related to the drug activating the KEAP1/Nrf2/FoxO3 signaling pathway.

ObjectiveTo explore the effect and mechanism of Taishan Panshi powder （TSPSP） on inhibiting oxidative stress injury in human chorionic trophoblast cells （HTR-8/SVneo）， and to uelucidate the underlying mechanism of TSPSP in the treatment of spontaneous abortion （SA）. MethodsGene differential analysis of SA was performed using the Gene Expression Omnibus （GEO） database and correlated with oxidative stress. Network pharmacology was employed to screen the active components of TSPSP， and a "Chinese medicine-component-target-disease" network was constructed to predict the mechanism of action of TSPSP. For in vitro validation experiments， HTR-8/SVneo cells were divided into blank group， model group， TSPSP-containing serum 2.5%， 5%， 10% groups， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group （ML385， 30 μmol·L^-1）. Except for the blank group， other groups were stimulated with 150 μmol·L^-1 H₂O₂ for 3 h to establish a cell oxidative stress injury model. After successful modeling， the blank group and model group were given 10% blank serum， each TSPSP-containing serum group was treated with the corresponding concentration of drug-containing serum， and the Nrf2 inhibitor group was additionally given 30 μmol·L^-1 ML385 on the basis of 10% TSPSP-containing serum. All groups of cells were continuously cultured under the above conditions for 24 h， and then samples were collected for subsequent detection. Cell viability in each group was detected by CCK-8 assay. Cell migration rate was detected by scratch test. The contents of malondialdehyde （MDA）， Fe²⁺， and Glutathione （GSH） were detected by enzyme-linked immunosorbent assay （ELISA）. Intracellular reactive oxygen species （ROS） level was detected by a fluorescent probe （DCF-DA）. The protein and mRNA expression levels of Kelch-like ECH-associated protein 1 （KEAP1）， Nrf2， and forkhead box protein O3 （FoxO3） in cells were detected by immunofluorescence （IF） and real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of KEAP1， Nrf2， FoxO3， Glutathione peroxidase 4 （GPX4）， and superoxide dismutase （SOD） in cells were detected by Western blot. ResultsThe GSE76862 and GSE22490 datasets were obtained from the GEO database. Differential gene analyses showed that the KEAP1， Nrf2， and FoxO3 genes were all associated with the disease. After matching with the oxidative stress pathway， nine significantly differential pathways were identified （P<0.05）， among which three contained the target genes Nrf2 and FoxO3. A total of 246 active ingredient targets of TSPSP and 2 804 SA-related targets were obtained through network pharmacology， and 154 potential action targets were obtained after taking the intersection. Topological analysis showed that targets such as KEAP1 and Nrf2 exhibited high degree values. GO and KEGG enrichment analyses indicated that the intersection targets were mainly involved in oxidative stress response， FOXO and MAPK signaling pathways， etc. In in vitro experiments， compared with the blank group， the cell viability in the model group was significantly decreased （P<0.01）. Compared with the model group， the cell viability in each TSPSP-containing serum group was significantly increased （P<0.01）. Compared with the 10% TSPSP-containing serum group， the cell viability in the ML385 group decreased to approximately 70% （P<0.01）. Compared with the blank group， the model group showed significantly increased contents of MDA， Fe²⁺， and ROS， decreased GSH expression （P<0.01）， significantly reduced cell migration rate （P<0.01）， and increased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.01）， while decreased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.01）. Compared with the model group， each TSPSP-containing serum group showed significantly decreased contents of MDA， Fe²⁺， and ROS， increased GSH expression （P<0.01）， significantly increased migration rate （P<0.01）， significantly decreased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.05， P<0.01）， and significantly increased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.05， P<0.01）. Compared with the 10% TSPSP-containing serum group， the ML385 group showed reversed trends in all indicators （P<0.05， P<0.01）. ConclusionTSPSP can inhibit H₂O₂-induced oxidative stress injury of trophoblast cells， and its mechanism of action may be related to the drug activating the KEAP1/Nrf2/FoxO3 signaling pathway.

ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Objective: To identify early clinical predictors associated with dysphagia and delayed swallowing recovery in patients with traumatic brain injury (TBI). Methods: In this retrospective study, we enrolled adult TBI patients admitted to the rehabilitation unit of a tertiary medical center between June 2019 and June 2023. Data on baseline characteristics, neurological status, imaging findings, and rehabilitation-related variables were collected. Swallowing function was assessed using two indicators: (1) nasogastric (NG) tube retention and (2) the Functional Oral Intake Scale (FOIS) scores at 1, 4, and 12 weeks post-injury. Regression analyses were conducted to identify predictors associated with dysphagia and swallowing recovery. Results: A total of 160 patients were included. At 1 week post-injury, longer intensive care unit (ICU) stay, poor initial sitting balance and use of sedative medication in ICU were associated with NG tube retention. At 4 weeks, lower initial Rancho Los Amigos Scale (RLAS) scores, immobility-related complications, longer hospitalization, and temporal lobe hematomas were associated with persistent NG tube dependence. By 12 weeks, older age, delayed ability to follow commands, and poor initial sitting balance remained associated with NG tube retention. FOIS outcomes were also associated with older age, delayed time to follow commands, impaired initial sitting balance, prolonged ICU stay, temporal lobe hematomas, lower initial RLAS scores, immobility-related complications, prolonged endotracheal tube placement and extended hospital stays. Conclusion Impaired cognitive status, poor physical function, immobility-related complications, and temporal lobe hematomas were key factors associated with dysphagia and delayed oral intake in individuals with TBI.

Objective To investigate the analgesic effect of ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia after lower abdominal surgery.Methods A total of 134 patients who underwent lower abdominal surgery in General Hospital of Central Theater Command from April 2021 to April 2024 were prospectively selected and randomly divided into the observation group and the control group,with 67 patients in each group.Patients in the observation group received ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia.Patients in the control group underwent only patient-controlled intravenous analgesia.The number of analgesic pump compressions and the cumulative sufentanil consumption 4 hours,6 hours,12 hours,and 24 hours after surgery,the visual analogue score(VAS)of pain at rest and exercise,and the incidence of adverse reactions during postoperative analgesia were compared between the two groups.Results Compared with the control group,the number of analgesic pump compressions and the cumulative sufentanil consumption of patients were fewer/less at 6 hours,12 hours and 24 hours after surgery in the observation group(P<0.05).The VAS scores of patients at exercise 4 hours,6 hours,12 hours and 24 hours after surgery in the observation group were significantly lower than those in the control group(P<0.05).The incidence of nausea,vomiting and vertigo in the observation group was significantly lower than that in the control group(P<0.05).Conclusion Compared with patient-controlled intravenous analgesia,ultrasound-guided quadratus lumborum block combined with patient-controlled intravenous analgesia can significantly reduce the number of analgesia pump compressions and the cumulative sufentanil consumption in postoperative analgesia of lower abdominal surgery,and has a better effect in relieving exercise pain,it can also reduce the occurrence of adverse reactions such as nausea and vomiting.

The wear debris generated during artificial joint prosthesis service can react with bone tissues to form osteolysis,seriously affecting the life-time of artificial joint prostheses.This paper reviews,summarizes,and analyzes domestic and international research literature on the extraction,characterization,and identification of wear debris from different artificial joint materials,aiming to provide references and feasible ideas for the future construction of a systematic and hierarchical research system for artificial joint wear debris.The main findings are as follows:strong alkali protein degradation test,strong acid protein degradation test,and protease protein degradation test are the commonly used method for extracting artificial joint wear debris,and researchers have clarified the protein degradation mechanisms of these three debris extraction methods.The characterization of wear debris in-vitro and in-vivo is mostly for hip and knee joints,with a small amount involving cervical spine and ankle joints.Studies have shown that the size,quantity,shape,and volume of wear particles are influenced by factors such as joint type,contact area,material selection,and implantation time.Both domestic and international studies have conducted characterization research on wear debris after in-vitro simulation testing,but there is still a lack of wear debris characterization analysis of clinical retrievals in China.Currently,most research is on the recognition of wear debris in the traditional mechanical field,but research on the intelligent recognition of artificial joint wear debris is relatively few,indicating that there is a certain lag in the application of computer technology in the field of artificial joint wear debris recognition.

Aim To explore the mechanism of luteolin in alleviating hepatic fibrosis.Methods C57BL/6 mice were randomly divided into the control group,CCl4 group,silybin group(100 mg·kg-1)and luteo-lin group(100 mg·kg-1).After 10-week modeling and 2-week treatment,the serum levels of aminotrans-ferase and liver histopathology were examined.Hepatic fibrosis and autophagy-related gene expression were as-sessed using immunohistochemistry and immunofluores-cence.Human hepatic stellate cell line(LX2)was cultured and divided into control,TGF-β1(10 mg·L-1),TGF-β1+silybin(40 μmol·L-1),TGF-β1+luteolin(40 μmol·L-1).Fibrotic and autophagy-re-lated markers were analyzed using quantitative real-time PCR,Western blot,immunofluorescence and MDC staining.Results Compared with the CCl4 group,the treatment groups showed significantly improved liver function and reduced hepatic fibrosis,with markedly downregulated COL1A1 and α-SMA expression,and luteolin demonstrated superior efficacy.Compared with TGF-β1 group,luteolin treatment significantly de-creased mRNA levels of COL1A1,ACTA2 and MAP1LC3B,while increasing the mRNA level of SQSTM1,the protein levels of COL1A1 and α-SMA de-creased,p62 was enhanced,the LC3Ⅱ/Ⅰ ratio was downregulated,and autophagy was reduced.These effects of luteolin were reversed by autophagy inducer rapamycin.Conclusion Luteolin alleviates liver fi-brosis by decreasing the autophagy of hepatic stellate cells.