With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo establish an objective evaluation system based on the quality characteristics of Gardeniae Fructus without relying on the origin label according to the theory of excellent shape， high quality， and superior effect of authentic medicinal materials， thus providing a scientific basis for the standardization of Gardeniae Fructus. MethodsDifferent batches of Gardeniae Fructus samples were collected from different producing areas. Through herbal textual research and a review of modern literature， fruit length， maximum fruit diameter， and chroma were selected as quantitative indicators to characterize the traditional appearance traits of Gardeniae Fructus. The above indicators were measured by a vernier caliper and a spectrophotometer. Through classical famous prescription data and literature analysis， total iridoid glycosides， total crocus glycosides， and total flavonoids were selected as the core component indicators related to efficacy， and their content was determined. Finally， through cluster analysis， the threshold ranges of the quantitative indicators of excellent shape and high quality were determined， and the applicability of the established evaluation system was verified by the determination of the indicators for each batch of medicinal materials. ResultsThe excellent shape indicators of Gardeniae Fructus were the fruit length-to-maximum fruit diameter ratio ≤1.86， 0°≤h≤45°， and L^*≥ 37.32. The content of total iridoid glycosides， total crocus glycosides， and total flavonoids should be no less than 2.2%， 0.44%， and 0.028%， respectively. The measurement results of different batches of Gardeniae Fructus showed that the evaluation system could effectively distinguish the Gardeniae Fructus samples in line with the traditional cognition of excellent shape and high quality. ConclusionThis study preliminarily constructs an excellent shape and high quality-based quality evaluation system for Gardeniae Fructus， which links appearance traits with chemical indicators and provides a methodological basis for the quality control and scientific grading of this herbal medicine.

Aim To investigate the effect of N6-methy-ladenosine(m6A)demethylase ALKBH5 on the prolif-eration and migration of cardiac fibroblasts(CFs)in-duced by high glucose.Methods Primary CFs were isolated from neonatal mouse hearts and identified u-sing optical and confocal microscopy.Cell activation was induced using a high-glucose medium(33 mmol·L-1 glucose).An ALKBH5 overexpression model was established by transfecting CFs with an ALKBH5 ex-pression vector in a high-glucose medium.The expres-sion of ALKBH5 in CFs was assessed through immuno-fluorescence staining,Western blot and RT-qPCR.Changes in m6A levels were evaluated using Dot blot a-nalysis.Additionally,Alterations in the expression of proliferating cell nuclear antigen(PCNA)and collagenⅠ,a pivotal fibrosis indicator,were measured using Western blot.The proliferation and migration ability of CFs were assessed through EdU staining and Transwell migration assay,respectively.Results Following treatment with high glucose,the expression of ALKBH5 in CFs notably decreased,while m6A level increased.This was accompanied by a significant increase in the expression of the proliferation marker PCNA and the fi-brosis marker collagen Ⅰ.Additionally,there was a sig-nificant improvement in the ability of proliferation and migration.Overexpression of ALKBH5 resulted in a significant decrease in the expressions of PCNA and collagen Ⅰ,leading to the inhibition of both proliferation and migration in CFs.Conclusion Overexpression of ALKBH5 suppresses the expression of PCNA and colla-gen Ⅰ,consequently reducing the proliferation and mi-gration of CFs,potentially through m6A methylation modification.

Nano/microplastics(NMPs),due to their environmental persistence and resistance to degradation,have emerged as a major contributor to global pollution.NMPs are capable of adsorbing various hazardous chemicals and heavy metals,thereby posing threats to aquatic ecosystem health,which may ultimately cause potential risks to human health.Conventional analytical methods suffered from limited resolution,insufficient chemical information,or destruction of sample,invalidating these assays for on-site detection of NMPs.Surface-enhanced Raman scattering(SERS)offers distinct advantages such as high sensitivity,superior specificity,rich fingerprint information,and non-destructive analysis,thus facilitating the on-site analysis of NMPs in complex matrices.This review summarized recent advances in SERS substrates for detection of NMPs,discussed the construction and applications of SERS-based multimodal detection strategies,and introduced the research progress of SERS detection of NMPs in food safety,environmental pollution,and bioanalysis.Moreover,the main challenges and future directions of SERS-based NMP detection were outlined.

Objective To explore the biological behavior and mechanism of isovitexin(Isov)on pancreatic cancer cells.Methods Isov was used to treat the human normal pancreatic ductal epithelial cells HPDE and PC cell lines,and CCK-8 was used to detect the cell proliferation and calculate the half inhibitory concentration(IC50).The PC cell line PANC-1 cells were grouped into the control group,the Isov group,the Isov+in-miR-NC group,the Isov+in-miR-339-5p group,the Isov+in-miR-339-5p+si-NC group and the Isov+in-miR-339-5p+si-HSPA8 group.The survival,migration and invasion of PANC-1 cells were detected by CCK-8,scratch healing assay and Transwell assay.Real time fluorescence quantitative PCR was used to detect the mRNA expression of miR-339-5p and heat shock protein family A member 8(HSPA8)in PANC-1 cells.Western blot assay was used to detect protein HSPA8 expression in various groups of cells.Dual luciferase reporter gene was used to detect the targeting effect of miR-339-5p and HSPA8.A xenograft nude mouse model was used to determine the in vivo anticancer effects of Isov.Results Isov inhibited PC cell proliferation but had little cytotoxicity to HPDE cells.Isov could obviously reduce the survival rate and scratch healing rate of PANC-1 cells,reduce the number of invasive cells,up-regulate miR-339-5p expression and down-regulate HSPA8 mRNA and protein levels(P＜0.05),while these effects were blocked by down-regulated miR-339-5p(P＜0.05).In addition,HSPA8 was the target gene of miR-339-5p,and knockdown of HSPA8 reversed the regulatory effect of Isov on the malignant biological behavior of PANC-1 cells.In vivo studies confirmed that after Isov treatment,the tumor volume and weight of nude mice decreased,the expression of miR-339-5p was increased and the expression of HSPA8 mRNA was decreased(P＜0.05).Conclusion Isov may inhibit the proliferation,migration and invasion of PC cells through the miR-339-5p/HSPA8 axis.

BACKGROUND:MXene nanoparticles,due to their unique hydrophilicity,biocompatibility,and antibacterial properties,are widely used in wound,tumor,nerve repair,and cardiovascular treatments.However,it is still unclear what effect MXene nanoparticles have on diabetic wound healing.OBJECTIVE:To investigate the in vitro antioxidant,anti-inflammatory and photothermal antibacterial properties of MXene nanoparticles Ti3C2Tx as well as their effect on wound repair in diabetic mice.METHODS:(1)In vitro experiments:The cytotoxicity of Ti3C2Tx nanoparticles on mouse fibroblasts(NIH-3T3)at various concentrations was evaluated using the methyl thiazolyl tetrazolium(MTT)assay.NIH-3T3 cells were exposed to H2O2,and the MTT assay was used to detect the protective effects of different mass concentrations of Ti3C2Tx on NIH-3T3 cells.NIH-3T3 cells were exposed to H2O2,and the effect of Ti3C2Tx(20 μg/mL)on the generation of reactive oxygen species in NIH-3T3 cells was analyzed under illumination(or no illumination)treatment.RAW264.7 macrophages were divided into three groups:control group,lipopolysaccharide group,and lipopolysaccharide+Ti3C2Tx group.Real-time quantitative PCR was used to detect the expression of specific genes(CD86,interleukin 6,CD206,arginase 1)in the cells.Escherichia coli(or Staphylococcus aureus)were divided into three groups:control group,Ti3C2Tx group,and Ti3C2Tx illumination group.The bacterial survival rate was calculated by plate colony counting method.(2)In vivo experiments:Streptozotocin was administered intraperitoneally to ICR mice to induce a diabetic condition.After successful modeling,a full-thickness skin defect wound was created on the back of the mice using a circular punch.The experiment was divided into three groups:control group(n=6),Ti3C2Tx group(n=6),and Ti3C2Tx illumination group(n=6).The wound healing was observed,and CD31 and CD206 immunohistochemical staining of wound tissue was performed on day 7 after intervention.Hematoxylin-eosin staining and Masson staining of wound tissue were performed on days 7 and 14 after intervention.Ti3C2Tx solution was injected subcutaneously into ICR mice.After illumination(or non-illumination)exposure,the toxic effects of Ti3C2Tx on mice were analyzed by blood biochemical detection.RESULTS AND CONCLUSION:(1)In vitro experiments:Ti3C2Tx showed no cytotoxicity on NIH-3T3 cells at mass concentrations ranging from 5-160 μg/mL.It increased the survival rate of NIH-3T3 cells at a mass concentration of 20 μg/mL.Ti3C2Tx at 10-80 μg/mL significantly improved the survival rate of NIH-3T3 cells under H2O2 intervention.Ti3C2Tx significantly inhibited the generation of reactive oxygen species in NIH-3T3 cells under the intervention of H2O2,and illumination treatment further enhanced the effect of Ti3C2Tx on inhibiting the generation of reactive oxygen species.Ti3C2Tx effectively inhibited macrophage inflammation induced by lipopolysaccharide and promoted the transformation of cells into M2 macrophages with anti-inflammatory properties.Both Ti3C2Tx and Ti3C2Tx illumination significantly inhibited the growth of Escherichia coli and Staphylococcus aureus,and the inhibitory effect of Ti3C2Tx illumination was more significant.(2)In vivo experiments:Gross and histological analyses of the wound surface showed that both Ti3C2Tx and Ti3C2Tx illumination promoted wound healing in diabetic mice,and the promotion effect of Ti3C2Tx irradiation was more significant.Immunohistochemical staining results showed that both Ti3C2Tx and Ti3C2Tx illumination inhibited the inflammatory response in diabetic wounds and promoted angiogenesis,and the effect of Ti3C2Tx illumination was more significant.Blood biochemical test results showed that Ti3C2Tx and illumination had no obvious toxic effects on mice.(3)These results indicate that Ti3C2Tx nanoparticles efficiently promote the healing of skin wounds in a diabetic mouse model through antioxidation,anti-inflammation,and antibacterial actions via photothermal effects.

Objective:To explore the improvement of the quality standard of Ginkgo Leaf Extract and Dipyridamole Injection and conduct safety tests including abnormal toxicity test,allergic reaction test,hemolysis and coagulation test.Methods:Ginkgo Leaf Extract and Dipyridamole Injection from 3 different manufactures(A,B and C)were tested respectively through abnormal toxicity test and acute toxicity test in mice,active systemic anaphylaxis test in guinea pigs and hemolysis test in vitro.Five mice were used in each batch for abnormal toxicity test according to the abnormal toxicity test method in general notice of the Chinese Pharmacopoeia 2020 Volume Ⅳ(1141),and 50 mice were selected in each batch for acute toxicity test to determine the median lethal dose(LD50)or maximum tol-erable dose(MTD)of Ginkgo Leaf Extract and Dipyridamole Injection,which were used to establish the method of abnormal toxicity experiment.The anaphylaxis of Ginkgo Leaf Extract and Dipyridamole Injection was evaluated by active systemic anaphylaxis test in guinea pigs,which was used to establish the method of allergic test.The hemoly-sis test of Ginkgo Leaf Extract and Dipyridamole Injection was studied by conventional tube method in vitro(macro-scopic observation)and improved hemolysis method in vitro(spectrophotometric method),which were used to establish the method of hemolysis and coagulation test.Results:① In manufacture A,the results of abnormal toxicity test were showed that LD50 was20.8 mL·kg-1and MTD was 16.5 mL·kg-1.No death or abnormal reac-tions were observed in mice tested for abnormal toxicity of 2 manufactures(B and C),and MTD was 50 and 40 mL·kg-1,respectively.②The no-observed-adverse-effect dose of Ginkgo Leaf Extract and Dipyridamole Injec-tion from 3 manufactures to guinea pig intravenous was 0.83 mL·kg-1,and no allergic reaction symptoms were observed when Ginkgo Leaf Extract and Dipyridamole Injection was diluted 4 times to challenge the sensitized guinea pigs(equivalent to human clinical dosage).③Differences were observed in the hemolytic effects of Ginkgo Leaf Extract and Dipyridamole Injection from 3 manufactures,but no obvious hemolytic reaction occurred when it was diluted 1.2 times(equivalent to 5%of the maximum clinical concentration).Conclusion:It is recommended to add abnormal toxicity test,allergic reaction test,hemolysis and coagulation test in the quality standard of Ginkgo Leaf Extract and Dipyridamole Injection as safety test items to control the risk.The proposed method is diluting Ginkgo Leaf Extract and Dipyridamole Injection by 5 times,4 times and 1.2 times to perform abnormal toxicity test,allergic reaction test,hemolysis test and coagulation test respectively.

OBJECTIVES: To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and. RESULTS: Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications. CONCLUSIONS The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans ; Medicine, Chinese Traditional ; Cancer Pain/therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Drug Delivery Systems ; Pain Management/methods* ; China

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.