Objective:To analyze the relationship between neck pain severity and duration and cervical sagittal parameters in non-specific neck pain (NNP) patients from a real world data, and to initially explore the relationship between NNP and cervical sagittal position sequence.Methods:The clinical data of 126 patients with main complaint of neck pain in the outpatient department of Beijing Friendship Hospital, Capital Medical University from January to September 2023 were retrospectively analyzed. This cohort included 84 female and 42 male patients with a mean age of (42.21±14.88) years (aged from 15 to 76 years). According to the duration of neck pain was more than 3 month or not, patients were divided into acute neck pain group ( n=57) and chronic neck pain group ( n=69). Patients were divided into mild neck pain group ( n=72) and moderate and severe neck pain group ( n=54) according to the severity of neck pain. The duration and visual analogue scale (VAS) of neck pain for each patient was recorded. Cervical sagittal related parameters, including cervical lordosis (C 2-C 7 Cobb′ angle, CL), C 2-C 7 sagittal vertical axis (cSVA), T 1 slope (TS) were measured by cervical lateral X-ray, and the value of T 1 slope minus cervical lordosis (TS-CL) was calculated. At the same time, cervical lateral X-ray was used to record whether the patient had cervical kyphosis and whether the patient was associated with ossification of the nuchal ligament (ONL). The VAS score of neck pain was expressed as the median (interquartile) [ M( Q1, Q3)]. Measurement data with normal distribution were represented as mean±standard deviation( ± s), and the comparison between groups was conducted using the t-test; the comparison of count data were represented as cases and percentage, and was conducted by Chi-square test. Spearman correlation analysis was used to investigate the correlation of VAS score and duration of neck pain with age, gender, imaging parameters (CL, cSVA, TS, TS-CL), cervical kyphosis and ONL. Results:The median VAS score of all patients with neck pain was 4(3, 5). For all patients, VAS score of neck pain was significantly correlated with cSVA ( P=0.029) and TS-CL ( P=0.028). There was no correlation between VAS score and CL ( P=0.235), TS ( P=0.355), with cervical kyphosis or not ( P=0.988), or with ONL or not ( P=0.181). The TS-CL values of acute neck pain group and chronic neck pain group were (11.80±8.38)° and (8.77±7.61)°, respectively, with a significant difference ( P=0.035). There was no significant difference in the incidence of cSVA, CL, TS, ONL and cervical kyphosis between the two groups ( P>0.05). The cSVA of mild neck pain group and moderate and severe neck pain group were (1.16±0.94) cm and (1.80±1.04) cm, respectively. CL was (12.25±10.76)° and (8.27±9.08)°, respectively. The TS-CL values were (8.11±7.54)° and (12.84±8.04)°, respectively, and the differences between the two groups were statistically significant ( P<0.05). The incidence of ONL in moderate and severe neck pain group was significantly higher (35.2% vs 19.4%), and the difference was statistically significant ( P<0.05). Conclusions:The severity of NNP was significantly correlated with cSVA, the more severe the neck pain, the more the mismatch between TS and CL was presented. Compared with chronic neck pain, patients with acute neck pain tended to appear TS and CL mismatch. There was a large value of cSVA and TS-CL in moderate and severe neck pain patients. The incidence of ONL was significantly increased in patients with moderate and severe neck pain.

Objective:To evaluate the perioperative application effect of enhanced recovery after surgery (ERAS) clinical pathway in percutaneous vertebro plasty (PVP).Methods:The clinical data of 274 patients who underwent PVP treatment for osteoporotic vertebral compression fracture (OVCF) in Beijing Friendship Hospital, Capital Medical University from May 2023 to August 2024 were retrospectively analyzed. The patients were divided into two groups according to the different numbers of surgical segments: the single-segment group ( n=211) and the multisegment group ( n=63). Patients in the single-segment group underwent single-segment surgery, while patients in the multisegment group underwent surgery on ≥2 segments. The core points of the ERAS clinical pathway adopted in this study include perioperative education, pain management, early mobilization, application of "outfast", and joint guidance from the departments of nutrition and rehabilitation. Comparison was made between the two groups of patients in terms of visual analog scale (VAS) scores for low back pain at preoperative, 2 h, 6 h, 24 h postoperatively, and on the day of discharge; Oswestry disability index (ODI) scores preoperatively and on the day of discharge; time to first ambulation postoperatively, total length of hospital stay, postoperative length of stay, perioperative complications, and perioperative application of Opioid consumption. Measurement data were expressed as mean±standard deviation ( ± s), and the independent sample t-test was used for comparison between groups; count data were expressed as cases and percentage, and the Chi-square test was used for comparison between groups. The VAS pain scores at each stage of the perioperative period were evaluated using repeated measures analysis of variance or generalized estimating equations. Results:Compared with that before the operation [(6.17±0.93) points, (6.29±0.83) points], the VAS scores of low back pain of patients in the single-segment group and the multisegment group at 2 hours after surgery [(3.09±0.82) points, (3.27±0.65) points], 6 hours after surgery [(2.60±0.79) points, (2.62±0.55) points], and 24 hours after surgery [(1.89±0.77) points, (1.97±0.72) points] and on the day of discharge [(1.72±0.71) points, (1.81±0.64) points] were significantly decreased, and the differences were statistically significant ( P<0.05). At the same stage, the VAS scores of low back pain in both groups were not statistically significant ( P>0.05). The ODI scores of patients in the single-segment group and the multisegment group on the day of discharge [(24.21±2.35) points, (24.63±3.31) points] were significantly lower than those before the operation [(64.50±4.81) points, (65.52±4.08) points], and the differences were statistically significant ( P<0.05). There were no statistically significant differences in perioperative complications and the proportion of Opioid drug application between the two groups of patients ( P>0.05). Conclusion:For patients with single-segment or multisegment OVCF, PVP surgical treatment under ERAS clinical pathway management can achieve immediate pain relief, early ambulation exercise, and satisfactory perioperative efficacy.

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry* ; Starch/chemistry* ; Multivariate Analysis ; Water/chemistry* ; Terpenes/analysis* ; Plant Roots/chemistry* ; Plant Tubers/chemistry* ; Drugs, Chinese Herbal/chemistry*

Objective : To identify autophagy-related genes involved in pulmonary infection caused by the highly drug-resistant and virulent methicillin-resistant Staphylococcus aureus strain USA300 ( USA300) ，and to explore the underlying molecular mechanisms ， thereby providing potential targets for immunotherapy． Methods: The GSE220943 dataset of a USA300-induced pulmonary infection mouse model was obtained from the GEO database． Differentially expressed genes ( DEGs ) were identified using the DESeq2 package． Autophagy-related genes ( ARGs) were retrieved from the MSigDB and Autophagy databases．Weighted gene co-expression network analysis ( WGCNA) was performed to construct gene co-expression modules．Genes overlapping among DEGs，ARGs，and WGCNA modules were identified as autophagy-related DEGs．Gene Ontology ( GO) enrichment analysis was con- ducted using the clusterProfiler R package，while Kyoto Encyclopedia of Genes and Genomes ( KEGG) pathway en- richment analysis was performed via the Metascape platform．Immune cell infiltration was analyzed using the Immu- CellAI-mouse website．A protein - protein interaction ( PPI) network was constructed using the STRING database， and hub genes were identified through topological analysis in Cytoscape． Receiver operating characteristic curve ( ROC) curves were plotted via the website https: / /www．bioinformatics．com．cn． Finally，key gene expression was validated in mouse lung tissues by real-time quantitative reverse transcription PCR ( RT-qPCR) ． Results: A total of 6 135，4 075，3 680，and 2 342 differentially expressed genes ( DEGs) were identified at 12，24，48，and 96 hours post-infection，respectively．By integrating DEGs，autophagy-related genes ( ARGs) ，and WGCNA mod- ules，19 autophagy-related DEGs were identified． GO and KEGG enrichment analyses indicated that these genes were mainly involved in CD4 + T cell activation and regulation，innate immune responses，and autophagosome mem- brane formation．Immune infiltration analysis revealed that innate immune cells such as neutrophils and dendritic cells predominated during the early phase of infection，while γδ T cells and M2 macrophages became more promi- nent in the later stages．PPI network analysis identified 12 hub autophagy-related genes，among which three upreg- ulated key genes ( Eif2ak2，Ikbke，and Nfkbiz) were further confirmed．The area under the ROC curve for all three genes was 1. 000．RT-qPCR validation demonstrated significantly elevated expression of these three genes in lung tissues at 24 hours post-infection ( all P＜0. 05) ． Conclusion Eif2ak2，Ikbke，and Nfkbiz may be involved in the pulmonary infection caused by USA300 by promoting autophagy and hold promise as potential targets for immuno- therapy．

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To investigate the effects of Japan tallow(JT)on liver injury and gut microbiota regulation in type 2 diabetes mellitus(T2DM)mice,thereby providing a theoretical basis for developing therapeutic edible oils for diabetes treatment.Methods:T2DM animal model was established through a combined approach of nutritional intervention and chemical induction.Experimental animals were first fed a high-fat diet(HFD)for 6 weeks,followed by intraperitoneal injection of freshly prepared streptozotocin(STZ).After successful model establishment,the mice were divided into five groups(n=6 per group):control group without any intervention;T2DM group;HFD reversion to standard chow group;metformin group;and JT intervention group,which received respective treatments for 4 weeks.At the endpoint,fresh fecal samples were collected from all groups,and the gut microbiota composition was analyzed using 16s rDNA high-throughput sequencing.Liver histopathological changes were examined using histological methods.Results:Compared with the normal control(ND),T2DM mice showed significantly increased fasting blood glucose(FBG)levels,with evident hepatocyte lipid accumulation,steatosis,inflammatory cell infiltration,and widespread vacuolar and fatty degeneration.After Japan tallow(JT)intervention,FBG levels decreased significantly,liver color approximated normal appearance,and pathological morphology improved noticeably.16s rDNA sequencing analysis demonstrated that JT treatment could effectively regulate the intestinal microbiota structure in T2DM mice.Increased microbial α-diversity indices(Chao1,observed_species,Faith_pd,Simpson);At the phylum level,increased Verrucomicrobia abundance while decreased Proteobacteria were detected;At the family level,elevated Bifidobacteriaceae and reduced Porphyromonadaceae were seen;At the genus level,Bifidobacterium was promoted and Akkermansia proliferat while Escherichia and Klebsiella were downregulated.Conclusions:Japan tallow exhibits significant effects in alleviating liver tissue damage and regulating intestinal microbiota disorders in T2DM mice,our study indicated new theoretical basis for the research and development of potential strategy for diabetes.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.