OBJECTIVES: Oblique lateral interbody fusion (OLIF) has become a well-established treatment for lumbar spinal stenosis (LSS) due to its advantages of being minimally invasive, effective, and associated with fewer complications. However, relying solely on lateral fixation provides limited strength and uneven load distribution. Conventional posterior bilateral fixation after OLIF typically requires intraoperative repositioning, increases fluoroscopy frequency, and involves extensive dissection of posterior muscles and soft tissues, resulting in greater trauma, blood loss, and risks of dural tear, nerve root injury, and persistent postoperative low back pain. This study aims to compare the clinical efficacy of robot-assisted single-position OLIF with lateral plating and posterior unilateral fixation, OLIF with lateral fixation alone, and OLIF combined with posterior bilateral fixation for treating single-segment LSS, and to explore how to enhance fixation stability, reduce trauma, and achieve precise minimally invasive outcomes without changing patient positioning. METHODS: A retrospective analysis was conducted on the clinical data from patients treated for single-segment LSS between January 2020 and June 2023 at the First Affiliated Hospital of Kunming Medical University. Patients were divided into 3 groups: Robot group (robot-assisted single-position OLIF with lateral plate and posterior unilateral fixation, 33 cases), lateral group (OLIF with lateral fixation alone, 52 cases), and combined group (OLIF with posterior bilateral fixation, 45 cases). Surgical time, intraoperative blood loss, fluoroscopy frequency, hospital stay, pedicle screw placement accuracy, and complication rates were recorded. Pain visual analogue scale (VAS) scores and Oswestry disability index (ODI) scores were assessed preoperatively, postoperatively, and at the final follow-up. Radiological evaluations (X-ray, computed tomography, and magnetic resonance imaging) measured interbody disc height (IDH), intervertebral foraminal height (IFH), and cross-sectional area (CSA) of the dural sac. Differences between pre- and postoperative imaging indices were statistically analyzed, and complication rates, fusion rates, and cage subsidence rates were recorded. RESULTS: All patients exhibited good positioning of internal fixation devices and cages, with significant symptom relief and no cases of spinal cord injury or symptom worsening. The follow-up time was (15.2±3.6) months. The operation time of the robot group was (70.62±8.99) min, which was longer than that of the lateral group (45.90±6.09) min and shorter than that of the combined group (110.12±8.44) min. The intraoperative blood loss of the robot group was (44.27±6.87) mL, which was more than that of the lateral group (33.58±9.73) mL and less than that of the combined group (79.19±10.35) mL. The number of intraoperative fluoroscopy times of the robot group was (9.49±2.25), which was comparable to that of the lateral group (7.45±2.02) but less than that of the combined group (12.24±4.25). The hospital stay of the robot group was (9.28±2.10) days, which was longer than that of the lateral group (7.95±1.91) days and shorter than that of the combined group (12.49±5.07) days. The screw placement accuracy of the robot group was 98.48%, which was higher than that of the combined group (90.55%). Postoperative and final follow-up VAS and ODI scores were significantly lower than preoperative scores in all 3 groups (all P<0.05), and there were no significant differences in preoperative VAS and ODI scores among the groups (all P>0.05). Radiologically, IDH, IFH, and CSA at the surgical segment were significantly increased postoperatively and at final follow-up compared to preoperatively and at final follow-up compared to preoperative values (all P<0.05), with no significant differences among the groups postoperatively (all P>0.05). Internal fixation remained stable during the follow-up period, and all cages achieved fusion at final follow-up. The intervertebral fusion rate of the robot-assisted group was 93.40%, which was similar to that of the combined group (95.56%) and higher than that of the lateral approach group (90.34%). The complication rate of the robot-assisted group was 6.1%, which was comparable to that of the combined group (8.9%) and lower than that of the lateral approach group (15.4%) (P<0.05). No cases of fixation loosening or breakage were observed throughout the follow-up period. CONCLUSIONS Robot-assisted single-position OLIF with lateral plate combined with posterior unilateral fixation effectively achieves indirect decompression and excellent spinal stability without the need for intraoperative repositioning. It provides high pedicle screw accuracy, reduces intraoperative blood loss, fluoroscopy times, and complication rates, offering a fully minimally invasive new treatment option for single-segment LSS.
Humans ; Spinal Stenosis/surgery* ; Robotic Surgical Procedures/methods* ; Lumbar Vertebrae/surgery* ; Spinal Fusion/instrumentation* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Treatment Outcome ; Bone Plates ; Minimally Invasive Surgical Procedures/methods* ; Adult

The regulation of rhizosphere bacterial community structure and metabolism by plants in municipal solid waste landfills is a key to enhancing the biodegradation of chlorobenzene (CB). In this study, we employed biodiversity and metabolomics methods to systematically analyze the mechanisms of different plant species in regulating the rhizosphere bacterial community structure and metabolic features and then improved the methane (CH₄) oxidation and CB degradation capacity. The results showed that the rhizosphere soil of Rumex acetosa exhibited the highest CH₄ oxidation and CB degradation capacity of 0.08 g/(kg·h) and 1.72×10^-6 g/(L·h), respectively, followed by the rhizosphere soil of Amaranthus spinosus L., with the rhizosphere soil of Broussonetia papyrifera showing the weakest activity. Rumex acetosa promoted the colonization of Methylocaldum in the rhizosphere, and the small-molecule organic amine, such as triethylamine and N-methyl-aniline, secreted from the roots of this plant enhanced the tricarboxylic acid cycle and nicotinamide metabolism, thereby increasing microbial activity and improving CH₄ and CB degradation efficiency. Conversely, cinnamic acid and its derivatives secreted by Broussonetia papyrifera acted as autotoxins, inhibiting microbial activity and exacerbating the negative effects of salt stress on key microbes such as methanotrophs. This study probed into the mechanisms of typical plants growing in landfill cover soil in regulating bacterial ecological functions, offering theoretical support and practical guidance for the plant-microbe joint control of landfill gas pollution.
Biodegradation, Environmental ; Rhizosphere ; Soil Microbiology ; Waste Disposal Facilities ; Chlorobenzenes/metabolism* ; Bacteria/metabolism* ; Soil Pollutants/metabolism* ; Methane/metabolism* ; Plant Roots/microbiology* ; Amaranthus/microbiology* ; Soil

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 Focusing on gynecological surgery,we constructed a prediction model for surgical duration by extracting features from unstructured surgical planning texts and integrating multimodal data via artificial intelligence technology.Methods The clinical data of 34 614 patients who underwent gynecologic surgeries at West China Second University Hospital,Sichuan University between January 2022 and October 2024 were collected.An embedding-transformer model was constructed to convert surgical planning texts into a one-dimensional numerical feature,referred to as the step feature.The predictive value of the step feature was assessed by comparing the performance improvements of linear regression,random forest,eXtreme Gradient Boosting(XGBoost),support vector regression,K-nearest neighbor regression,and artificial neural network algorithms in two scenarios—with and without the step feature as an input.The out-of-sample prediction accuracy of the models was assessed using mean absolute error(MAE),root mean squared error(RMSE),and R-squared(R2).Furthermore,the model interpretability was examined using SHapley Additive exPlanations(SHAP)values.Results SHAP results showed that the step feature had the highest predictive contribution.Temporal factors in surgical scheduling also influenced gynecological surgery duration.The XGBoost model demonstrated optimal performance on the test set,significantly improving prediction accuracy with a 40.43%increase in R2,while reducing MAE and RMSE by 21.27%and 20.13%,respectively,compared to the baseline model without the step feature.Conclusion The embedding-transformer model developed in this study effectively extracts features from surgical planning texts and enhances the predictive performance of machine learning models.The XGBoost prediction model can assist hospital administrators in implementing more refined management of gynecological surgeries and improving the utilization efficiency of surgical resources.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.