Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

Background: To identify the optimal surgical technique for single-level anterior cervical discectomy and fusion (ACDF), this study compared surgical outcomes and incidence of adjacent segment degeneration (ASD) in patients undergoing single-level ACDF using cage alone single-level fusion and plate fixation techniques. Methods: This single-center retrospective study (2003–2018) included patients who underwent single-level ACDF with either plate fixation (PLATE) or cage (CAGE) alone. The radiologic and clinical outcomes between the 2 surgical groups were compared over a 4-year follow-up period. Outcomes of interest included parameters related to range of motion, sagittal alignment, as well as fusion, subsidence, and ASD rates. Clinical outcomes were evaluated using the Neck Disability Index (NDI) and visual analog scale (VAS) for pain. Dysphagia and hoarseness rates were estimated based on medical records. Results: Forty-seven patients were included (n=17 in CAGE group). In the CAGE group, 94.1% of the patients had Bridwell grade 1 or 2, compared to 83.3% in the PLATE group (p = 0.396). Subsidence occurred in 12.5% and 3.6% of the CAGE and PLATE cases, respectively (p = 0.543). Segmental kyphosis progressed in the CAGE group compared to the PLATE group at 12, 24, and 48 months (p < 0.001). Radiographic ASD was observed in 41.2% and 30.0% of patients in the CAGE and PLATE groups, respectively, with a higher incidence in the upper segments for both groups. Preoperative NDI scores were similar between the groups; however, postoperatively, the CAGE group had significantly lower NDI scores (3.50 ± 2.74 vs. 8.00 ± 5.81) at 4 years (p = 0.020). Neck pain VAS scores also showed significant improvement in the CAGE group (2.33 ± 2.94) compared with that in the PLATE group (3.07 ± 2.31) at 4 years (p = 0.045). Both groups showed comparable arm pain VAS scores at 2 and 4 years postoperatively. Postoperative dysphagia occurred in 1 patient in the PLATE group, resolving almost completely by 1 year. Conclusions Single-level ACDF using a cage alone technique demonstrated favorable radiologic and clinical outcomes overall compared to plate-augmented ACDF. However, plate augmentation is recommended for patients with severe cervical kyphosis or those at high risk of subsidence.

Background: To identify the optimal surgical technique for single-level anterior cervical discectomy and fusion (ACDF), this study compared surgical outcomes and incidence of adjacent segment degeneration (ASD) in patients undergoing single-level ACDF using cage alone single-level fusion and plate fixation techniques. Methods: This single-center retrospective study (2003–2018) included patients who underwent single-level ACDF with either plate fixation (PLATE) or cage (CAGE) alone. The radiologic and clinical outcomes between the 2 surgical groups were compared over a 4-year follow-up period. Outcomes of interest included parameters related to range of motion, sagittal alignment, as well as fusion, subsidence, and ASD rates. Clinical outcomes were evaluated using the Neck Disability Index (NDI) and visual analog scale (VAS) for pain. Dysphagia and hoarseness rates were estimated based on medical records. Results: Forty-seven patients were included (n=17 in CAGE group). In the CAGE group, 94.1% of the patients had Bridwell grade 1 or 2, compared to 83.3% in the PLATE group (p = 0.396). Subsidence occurred in 12.5% and 3.6% of the CAGE and PLATE cases, respectively (p = 0.543). Segmental kyphosis progressed in the CAGE group compared to the PLATE group at 12, 24, and 48 months (p < 0.001). Radiographic ASD was observed in 41.2% and 30.0% of patients in the CAGE and PLATE groups, respectively, with a higher incidence in the upper segments for both groups. Preoperative NDI scores were similar between the groups; however, postoperatively, the CAGE group had significantly lower NDI scores (3.50 ± 2.74 vs. 8.00 ± 5.81) at 4 years (p = 0.020). Neck pain VAS scores also showed significant improvement in the CAGE group (2.33 ± 2.94) compared with that in the PLATE group (3.07 ± 2.31) at 4 years (p = 0.045). Both groups showed comparable arm pain VAS scores at 2 and 4 years postoperatively. Postoperative dysphagia occurred in 1 patient in the PLATE group, resolving almost completely by 1 year. Conclusions Single-level ACDF using a cage alone technique demonstrated favorable radiologic and clinical outcomes overall compared to plate-augmented ACDF. However, plate augmentation is recommended for patients with severe cervical kyphosis or those at high risk of subsidence.

In the context of the development of transplant oncology,it is of great clinical significance to find a drug with both antitumor and immunosuppressive effects for liver transplantation patients with hepatocellular carcinoma(HCC).The antitumor effect of ginkgolic acid(GA)has been confirmed,and some studies suggest that GA may also have an immunosuppressive effect.The immunosuppressive effect of GA was evaluated by histopathology,T-cell subpopulation,and cytokine detection in rat liver transplantation and mouse cardiac transplantation models,and transcriptomic and metabolomic analysis was used to explore the underlying mechanism of the GA immunosuppressive effect.Metabolites,activation,and ferroptosis markers of CD8+T cells were detected in vivo and in vitro.Based on rat liver transplantation and mouse cardiac transplantation models,the immunosuppressive effect of GA was first confirmed by histopathology,T-cell subpopulation,and cytokine detection.In the mouse cardiac transplantation model,transcriptomics combined with metabolomics demonstrated for the first time that GA inhibited lactate dehydrogenase A(LDHA)expression and pyruvate metabolism in CD8+T cells.It was confirmed in vivo and in vitro that GA inhibited pyruvate metabolism of CD8+T cells through LDHA,inhibiting their activation and inducing ferroptosis.Over-expression of LDHA partially reversed the effect of GA on the metabolism,activation,and ferroptosis of CD8+T cells in vitro.GA mediates metabolic reprogramming through LDHA to inhibit the activation and induce ferroptosis of CD8+T cells to exert an immunosuppressive effect,which lays an experimental foundation for the future clinical application of its immunosuppressive effect.

Objective To predict the poorly differentiated subtype of stage T1 invasive lung adenocarcinoma based on the morphological and quantitative characteristics of preoperative CT images.Methods The CT images,clinical information and pathological report of 333 cases with stage T1 lung adenocarcinoma in the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University and the Second Affiliated Hospital of Naval Medical University were retrospectively analyzed.All data were divided into histological subtypes according to the WHO Classification of Chest Tumors(5th Edition).CT signs include the maximum diameter,minimum diameter,location,nodule type,CT value,proportion of solid components,burr sign,lobular sign,vacuole sign,air bronchial sign,halo sign,bronchial truncation sign,vascular cluster sign,pleural depression sign.Clinical factors included gender,age,smoking history,tumor markers,and spread through air spaces.Independent predictors of poorly differentiated subtypes of lung adenocarcinoma were obtained via univariate and multivariate logistic regression analysis,and the clinical model,CT model and combined model were constructed based on the analysis results.Results In univariate logistic regression analysis,gender,smoking history,tumor markers,spread through air spaces,maximum diameter,minimum diameter,location,nodule type,CT value,proportion of solid components,burr sign,vacuole sign and vascular cluster sign were significantly related to poorly differentiated subtypes.Multivariate logistic regression analysis showed that gender,tumor markers,vacuole sign,minimum diameter,and nodule type were independent influencing factors of poorly differentiated subtypes of lung adenocarcinoma.Clinical model,CT model and combined model were constructed based on the analysis results.Area under the curve(AUC)of the clinical model,CT model and combined model were 0.772[95％confidence interval(CI)0.712-0.831],0.776(95％CI 0.714-0.837)and 0.825(95％CI 0.776-0.874)for the poorly differentiated subtypes,respectively.The combined model had a higher AUC,with the better prediction.There was significant difference in predicting lung adenocarcinoma poorly differentiated subtypes between the clinical model and combined model(P=0.019).Conclusion Logistic regression model based on CT signs has good diagnostic value in predicting poorly differentiated lung adenocarcinoma in stage Ⅰ.

Aim To investigate the effects of edaravone(EDA)on depression-like behaviors in a rat model of post-stroke depression(PSD)and to explore the un-derlying mechanisms.Methods SD rats were ran-domly divided into:sham operation group(Sham),cerebral ischemia group(CI),post-stroke depression(PSD),fluoxetine(10 mg·kg-1)group,and EDA(5,15 mg·kg-1)group.A PSD rat model was estab-lished using the suture method combined with 56 d of chronic unpredictable mild stimulation.Drug treatment was given once daily for 28 d after stimulation.Body weight and sucrose water preference were measured during the stimulation period,and serum TNF-α,IL-1 β,IL-6,MDA,SOD levels,and hippocampal tissue HO-1 and GPX4 protein expression were detected at the end of stimulation.Results Compared with the sham group,the rat neurological function scores of the remaining groups increased(P＜0.01).Compared with the PSD group,EDA increased the body weight and sucrose water preference of the rats(P＜0.01),significantly decreased the serum TNF-α,IL-1β and IL-6 levels,decreased the MDA level,increased the SOD level(P＜0.01),and up-regulated hippocampal HO-1 and GPX4 protein expression(P＜0.01).Con-clusions EDA improves depression-like behaviors and inhibits peripheral inflammation and oxidative stress in-jury in PSD rats,and its mechanism may be related to the activation of HO-1/GPX4 pathway to inhibit oxida-tive stress.

Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

BACKGROUND:Studies have confirmed that up-regulation of microRNA-140 expression can partially inhibit osteoarthritis-like changes in knee cartilage tissues and cells and delay the progression of osteoarthritis,suggesting that microRNA-140 is involved in the pathogenesis of osteoarthritis.OBJECTIVE:To further analyze the mechanism of microRNA-140 involvement in osteoarthritis by loading exosomes overexpressing microRNA-140 with sodium alginate/collagen hydrogel.METHODS:Lentivirus was used to infect rat bone marrow mesenchymal stem cells to overexpress microRNA-140,then exosomes were isolated and exosomes overexpressing microRNA-140 were obtained.Sodium alginate/collagen hydrogels loaded with exosomes were prepared.Thirty-two SD rats were randomly divided into four groups,with 8 rats in each group.Normal control group did not receive any treatment.The osteoarthritis model was established by injecting sodium iodoacetate into the knee cavity in the osteoarthritis group,the non-transfected exosome group and the transfected exosome group.Two weeks later,PBS was injected into the knee cavity in the osteoarthritis group.Sodium alginate/collagen hydrogel carrying non-overexpressing microRNA-140 and overexpressing microRNA-140 exosomes were injected into the knee cavity of the non-transfected exosome group and transfected exosome group.At 6 weeks after modeling,the threshold of mechanical foot withdrawal response,the concentration of inflammatory factors in synovial fluid,the expression of chondrogen-related genes,the histological changes of knee cartilage and the expression of pyroptosis related proteins were detected in rats.RESULTS AND CONCLUSION:(1)Compared with normal control group,the threshold value of mechanical stimulation foot contraction response,type Ⅱ collagen,SOX9 mRNA expression levels,and Type Ⅱ collagen immunofluorescence intensity were decreased in the osteoarthritis group(P<0.05),and proinflammatory cytokine levels were increased in synovial fluid(P<0.05).The mRNA expressions of matrix metalloproteinase 13 and a disintegrin and metalloproteinase with thrombospondin motifs-5(ADAMTS-5)were increased(P<0.05),and the protein expression levels of NLRP3,ASC,GSDMD p30,caspase-1 p20,interleukin-1β,and interleukin-18 were increased(P<0.05).Immunofluorescence intensity of GSDMD and cleaved caspase-1 was increased(P<0.05),and cartilage tissue was severely damaged.(2)Compared with osteoarthritis group,the threshold value of mechanical stimulation foot contraction response,type Ⅱ collagen,SOX9 mRNA expression levels,and type Ⅱ collagen immunofluorescence intensity in the non-transfected and transfected exosome groups were increased(P<0.05);proinflammatory cytokine levels were decreased in synovial fluid(P<0.05).The mRNA expression of matrix metalloproteinase 13 was decreased(P<0.05),and the protein expression levels of NLRP3,ASC,GSDMD p30,caspase-1 p20,interleukin-1β,and interleukin-18 were decreased(P<0.05).The immunofluorescence intensity of GSDMD and cleaved caspase-1 decreased(P<0.05),and the cartilage tissue damage was reduced(P<0.05),and the effect was stronger in the transfected exosome group.(3)These results conclude that microRNA-140 can reduce the pain response of rats with osteoarthritis by inhibiting inflammation,maintaining cartilage homeostasis,and inhibiting cartilaginous pyroptosis,thereby reducing cartilage damage and playing a therapeutic role in osteoarthritis.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

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.