BACKGROUND:Currently,spinal endoscopic technology has become the mainstream technology in minimally invasive spinal surgery.The specifications of the instruments for different operating systems are different,and the choice of specific surgical protocols needs to be combined with the actual situation of the patient and the choice of the clinical surgeon. OBJECTIVE:To compare the early efficacy of percutaneous endoscopic interlaminar discectomy for L5-S1 disc herniation under the iLESSYS Delta System and Endo-Surgi Plus System. METHODS:Totally 80 patients with L5-S1 disc herniation were treated with percutaneous endoscopic interlaminar discectomy.Patients were divided into two groups based on the endoscopic system used.Among them,37 cases received the iLESSYS Delta System(Delta group)and 43 cases received the Endo-Surgi Plus System(Plus group).Patient demographic characteristics,perioperative indicators,and complications were analyzed between the two groups.Clinical outcomes were quantified using back and leg visual analog scale scores,Oswestry Disability Index,and Japanese Orthopaedic Association scores at 1 day,1,3,and 6 months after surgery.Patient satisfaction was assessed according to modified MacNab criteria at final follow-up. RESULTS AND CONCLUSION:(1)The operative time and number of arthroplasties in the Plus group were less than those in the Delta group,and the differences were statistically significant(P<0.05).(2)Compared with the preoperative period,the visual analog scale scores,Oswestry Disability Index,and Japanese Orthopaedic Association scores of patients in both groups improved at all follow-up time points,and the difference was statistically significant(P<0.001).(3)There was no statistically significant difference in the comparison of pain visual analog scale scores,Oswestry Disability Index,and Japanese Orthopaedic Association scores of patients in the two groups(P>0.05).(4)At 6-month follow-up after surgery,the MacNab standard excellent and good rates in the Delta group and Plus group were 81%and 79%,respectively,with no significant difference(P=0.823).(5)The incidence of complications was 3%in the Delta group and 2%in the Plus group,but there was no significant difference between the two groups(P=0.914).(6)It is concluded that both iLESSYS Delta and Endo-Surgi Plus surgical systems achieved satisfactory early clinical results in the treatment of lumbar disc herniation,with Endo-Surgi Plus surgical moulding being more efficient and safer.

Objective:To investigate the efficacy of a decellularized extracellular matrix (dECM)-quaternized chitosan (QCS)-gelatin (Gel) composite scaffold loaded with growth factors in repairing diabetic foot wounds in a rat model.Methods:A dECM-QCS-Gel composite scaffold (referred to as GDQ scaffold) was fabricated using a 3D bioprinter. Forty 8-week-old male Sprague-Dawley (SD) rats were selected to establish a diabetic foot wound model with a diameter of approximately 1 cm. Based on the treatment methods for diabetic foot wounds, the rats were divided into five groups: Control group (no treatment), Exosome group (wound covered with exosome suspension), Exosome+GDQ group (wound covered with GDQ scaffold loaded with exosome suspension), GDQ group (wound covered with GDQ scaffold alone), and Growth factor+GDQ group (wound covered with GDQ scaffold loaded with recombinant human basic fibroblast growth factor suspension). The wound healing rate was measured. Histological analysis was performed by HE staining and Masson staining. ELISA kits were used to determine the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), IL-6, and IL-10 in wound tissues from each group. Protein expression levels of MIP-1 and MIP-2 genes were also assessed.Results:The wound healing rate of the growth factor+GDQ group on the 21st d was 94.89%±1.21%, which was higher than that of the exosome+GDQ group ( P<0.05). With increasing repair time, the expression levels of TNF-α, IL-1β and IL-6 in each group all decreased, while IL-10 increased in all groups ( P<0.05). Among them, the exosome+GDQ group (TNF-α: 46.54±1.26 pg/ml, IL-1β: 225.79±7.29 pg/ml, IL-6: 142.81±4.02 pg/ml and IL-10: 117.36±0.95 pg/ml, P<0.001) and the growth factor+GDQ group (TNF-α : 40.01±1.64 pg/ml, IL-1β: 209.15±2.98 pg/ml, IL-6: 138.50±2.61 pg/ml and IL-10: 127.66±1.23 pg/ml, P<0.05); The levels of TNF-α and IL-1β in the exosome+GDQ group were both lower than those in the exosome+GDQ group ( P<0.05), and IL-10 was higher than that in the exosome+GDQ group ( P<0.05). On the 7th d the control group showed the highest expression levels of MIP-1α and MIP-2. All other groups had lower levels, with the growth factor+GDQ group showing the lowest among them. On the 21st d, the inflammatory protein expression in the growth factor+GDQ group had further decreased and remained lower than in all other experimental groups. Conclusions:The GDQ composite scaffold, when combined with bioactive factors, can synergistically reduce inflammation in diabetic foot wounds and promote wound healing. The scaffold loaded with basic fibroblast growth factor demonstrated superior therapeutic efficacy compared to the scaffold loaded with exosomes.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate risk factors for adverse pregnancy outcomes(APO) in women with hypertriglyceridemia(HTG) during late pregnancy despite normal thyroid function, focusing on thyroid-stimulating hormone receptor(TSHR) levels.Methods:A total of 242 pregnant women with normal thyroid function who delivered in General Hospital of Central Theater Command from October 2023 to June 2024 were divided into HTG( n=111) and non-HTG groups( n=131). Clinical data, lipid profiles, thyroid function, TSHR levels, and APO were compared, and the influencing factors of APO were analyzed. Results:Compared with non-HTG group, APO, adverse maternal outcomes, and gestational diabetes mellitus(GDM) were significantly more frequent in the HTG group( P<0.05). The HTG group also had higher triglyceride(TG), fasting plasma glucose(FPG), triglyceride glucose index(TyG), triglyceride/high density lipoprotein cholesterol(TG/HDL-C), thyroid stimulating hormone(TSH) and TSHR, with lower free triiodothyronine (FT 3)( P<0.05). TSHR was an independent risk factor for APO, maternal adverse outcomes, and GDM in all pregnant women( OR=1.112, 95% CI 1.007-1.229; OR=1.126, 95% CI 1.020-1.243; OR=1.133, 95% CI 1.025-1.253) and was also an independent risk factor for APO in the HTG group( OR=1.165, 95% CI 1.005-1.351). Conclusion:Pregnant women with normal thyroid function and HTG in late pregnancy are more likely to have APO, manifested as maternal adverse outcomes and GDM. TSHR is an independent risk factor for APO.

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

The global aging population has intensified the incidence of degenerative bone diseases and the therapeutic demand for traumatic bone injuries, thereby making bone regenerative medicine a research focus. There is a close connection and interaction between the skeletal system and the nervous system, and innervation plays an indispensable regulatory role in the process of bone regeneration: the sympathetic nervous system exerts a negative regulatory effect during bone regeneration, while the parasympathetic nervous system plays a positive regulatory role in this process. Nerve fibers within bones are distributed alongside blood vessels, with their density decreasing from the periosteum to the cancellous bone. Nerve signals regulate bone regeneration either by directly acting on target cell receptors or indirectly modulating the metabolism of the local microenvironment (such as the levels of inflammatory factors and the supply of nutrients). A variety of neuropeptides (e.g., calcitonin gene-related peptide, substance P, neuropeptide Y, vasoactive intestinal peptide, etc.) play a crucial role in bone tissue, constructing a "neuro-osseous" regulatory axis, which in turn regulates the osteoblast-osteoclast balance, angiogenesis, and the homeostasis of the local microenvironment. This review focuses on the neural regulatory mechanisms in bone regeneration, with an emphasis on sorting out the functions of key neuropeptides and related neurotransmitters. Neuropeptides are the core mediators of neuro-osseous interaction; however, the interaction network among neuropeptides remains to be further clarified, which requires the application of advanced in vitro models such as three-dimensional bioprinted bone models and organoid technology, as well as cutting-edge techniques like single-cell sequencing for analysis. In the future, the integration of neural regulation strategies with traditional bone regeneration technologies, along with the expansion into interdisciplinary fields such as neuro-vascular and neuro-muscular fields, is expected to provide new directions for the treatment of bone defects and large maxillofacial tissue defects, and promote the transformation of regenerative medicine from prosthetic treatment to functional and neurotized tissue regeneration.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

The global aging population has intensified the incidence of degenerative bone diseases and the therapeutic demand for traumatic bone injuries, thereby making bone regenerative medicine a research focus. There is a close connection and interaction between the skeletal system and the nervous system, and innervation plays an indispensable regulatory role in the process of bone regeneration: the sympathetic nervous system exerts a negative regulatory effect during bone regeneration, while the parasympathetic nervous system plays a positive regulatory role in this process. Nerve fibers within bones are distributed alongside blood vessels, with their density decreasing from the periosteum to the cancellous bone. Nerve signals regulate bone regeneration either by directly acting on target cell receptors or indirectly modulating the metabolism of the local microenvironment (such as the levels of inflammatory factors and the supply of nutrients). A variety of neuropeptides (e.g., calcitonin gene-related peptide, substance P, neuropeptide Y, vasoactive intestinal peptide, etc.) play a crucial role in bone tissue, constructing a "neuro-osseous" regulatory axis, which in turn regulates the osteoblast-osteoclast balance, angiogenesis, and the homeostasis of the local microenvironment. This review focuses on the neural regulatory mechanisms in bone regeneration, with an emphasis on sorting out the functions of key neuropeptides and related neurotransmitters. Neuropeptides are the core mediators of neuro-osseous interaction; however, the interaction network among neuropeptides remains to be further clarified, which requires the application of advanced in vitro models such as three-dimensional bioprinted bone models and organoid technology, as well as cutting-edge techniques like single-cell sequencing for analysis. In the future, the integration of neural regulation strategies with traditional bone regeneration technologies, along with the expansion into interdisciplinary fields such as neuro-vascular and neuro-muscular fields, is expected to provide new directions for the treatment of bone defects and large maxillofacial tissue defects, and promote the transformation of regenerative medicine from prosthetic treatment to functional and neurotized tissue regeneration.

Objective:To investigate the efficacy of a decellularized extracellular matrix (dECM)-quaternized chitosan (QCS)-gelatin (Gel) composite scaffold loaded with growth factors in repairing diabetic foot wounds in a rat model.Methods:A dECM-QCS-Gel composite scaffold (referred to as GDQ scaffold) was fabricated using a 3D bioprinter. Forty 8-week-old male Sprague-Dawley (SD) rats were selected to establish a diabetic foot wound model with a diameter of approximately 1 cm. Based on the treatment methods for diabetic foot wounds, the rats were divided into five groups: Control group (no treatment), Exosome group (wound covered with exosome suspension), Exosome+GDQ group (wound covered with GDQ scaffold loaded with exosome suspension), GDQ group (wound covered with GDQ scaffold alone), and Growth factor+GDQ group (wound covered with GDQ scaffold loaded with recombinant human basic fibroblast growth factor suspension). The wound healing rate was measured. Histological analysis was performed by HE staining and Masson staining. ELISA kits were used to determine the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), IL-6, and IL-10 in wound tissues from each group. Protein expression levels of MIP-1 and MIP-2 genes were also assessed.Results:The wound healing rate of the growth factor+GDQ group on the 21st d was 94.89%±1.21%, which was higher than that of the exosome+GDQ group ( P<0.05). With increasing repair time, the expression levels of TNF-α, IL-1β and IL-6 in each group all decreased, while IL-10 increased in all groups ( P<0.05). Among them, the exosome+GDQ group (TNF-α: 46.54±1.26 pg/ml, IL-1β: 225.79±7.29 pg/ml, IL-6: 142.81±4.02 pg/ml and IL-10: 117.36±0.95 pg/ml, P<0.001) and the growth factor+GDQ group (TNF-α : 40.01±1.64 pg/ml, IL-1β: 209.15±2.98 pg/ml, IL-6: 138.50±2.61 pg/ml and IL-10: 127.66±1.23 pg/ml, P<0.05); The levels of TNF-α and IL-1β in the exosome+GDQ group were both lower than those in the exosome+GDQ group ( P<0.05), and IL-10 was higher than that in the exosome+GDQ group ( P<0.05). On the 7th d the control group showed the highest expression levels of MIP-1α and MIP-2. All other groups had lower levels, with the growth factor+GDQ group showing the lowest among them. On the 21st d, the inflammatory protein expression in the growth factor+GDQ group had further decreased and remained lower than in all other experimental groups. Conclusions:The GDQ composite scaffold, when combined with bioactive factors, can synergistically reduce inflammation in diabetic foot wounds and promote wound healing. The scaffold loaded with basic fibroblast growth factor demonstrated superior therapeutic efficacy compared to the scaffold loaded with exosomes.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.